diff --git a/README.md b/README.md index fc8b499..5df9ba9 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ href="https://www.flaticon.com/free-icons/mortarboard" target="_blank" rel="noopener noreferrer" title="Mortarboard icons created by itim2101 - Flaticon" >Mortarboard icons created by itim2101 - Flaticon

-# MoodleGPT 1.1.5 +# SparkAssist 2.0.0 This extension allows you to hide CHAT-GPT in a Moodle quiz. You just need to click on the question you want to solve, and CHAT-GPT will automatically provide the answer. However, one needs to be careful because as we know, CHAT-GPT can make errors especially in calculations. @@ -12,7 +12,7 @@ Find the extension on the Chrome Webstore right [here](https://chrome.google.com ## Summary -- [MoodleGPT 1.1.5](#moodlegpt-115) +- [SparkAssist 2.0.0](#sparkassist-200) - [Chrome Webstore](#chrome-webstore) - [Summary](#summary) - [Disclaimer !](#disclaimer-) @@ -127,10 +127,24 @@ Person 2 | Yann  | 19/01/2000 | no ## Supported questions type -### Select +MoodleGPT now utilizes strict strongly-typed JSON schema generation. Complex question logic is mapped directly from the Moodle DOM structure to the LLM backend for perfect, index-matched interaction. + +### Calculated Questions (Numerical / Multi) + +![Calculated](./assets/equations.gif) + +### Select (Missing Words / Gapselect) ![Select](./assets/select.gif) +### Match Questions + +Extracts options seamlessly per row. + +### Drag and Drop Into Text + +Under the hood matching using native `.placeinput` tags for accurate invisible placement dropping. + ### Put in order question ![Order](./assets/order.gif) diff --git a/TODO.md b/TODO.md index 4640904..7ed5c7c 100644 --- a/TODO.md +++ b/TODO.md @@ -1 +1,19 @@ -# TODO +# MoodleGPT TODO List + +Based on the open GitHub issues, the following features and improvements are planned: + +## Configuration & Settings + +- [x] **Configurable Request Timeout** (#70): Add a setting to manually configure the API request timeout, preventing hangups on deeply nested or slow LLM requests. +- [x] **OpenAI Project ID Support** (#55): Add a field under Advanced Settings to provide an OpenAI `project_id`, enabling compatibility with organizational level API keys. +- [ ] **Toggleable Visual Indications** (#71): Add an option to completely disable the cursor hijack and loading animations to prevent unwanted visual behaviors during strictly proctored quizzes. +- [ ] **Custom LMS Hostname Whitelisting** (#71): Implement internal configuration logic that seamlessly whitelists custom university domains (e.g., `*.oes.kz`) to ensure extension logic runs on rebranded Moodle portals. + +## Context & Advanced AI Integration + +- [ ] **Document Context Injection** (#39, #42): Allow users to upload or attach PDFs/lecture notes to be embedded in the AI's prompt resolution context to strictly enforce the correct syllabus answers. +- [ ] **ChatGPT Assistant Integrations** (#37): Implement support for routing requests to customized pre-trained ChatGPT Assistants using specific Assistant IDs instead of relying entirely on standard ChatCompletion routes. + +## Cross-Platform + +- [ ] **Firefox Port** (#50): Migrate and package the Chrome extension codebase for native Firefox compatibility, adapting to standard `browser.*` APIs. diff --git a/extension/MoodleGPT.js b/extension/MoodleGPT.js index b3080ad..d8414a2 100644 --- a/extension/MoodleGPT.js +++ b/extension/MoodleGPT.js @@ -1,2 +1,2 @@ -!function(e){"function"==typeof define&&define.amd?define(e):e()}((function(){"use strict";function e(e){const t=document.title;document.title=e,setTimeout((()=>document.title=t),3e3)}function t(e,t,s,n){return new(s||(s=Promise))((function(r,o){function i(e){try{l(n.next(e))}catch(e){o(e)}}function a(e){try{l(n.throw(e))}catch(e){o(e)}}function l(e){var t;e.done?r(e.value):(t=e.value,t instanceof s?t:new s((function(e){e(t)}))).then(i,a)}l((n=n.apply(e,t||[])).next())}))}function s(e,t){const s=e.length>t.length?e.length:t.length;return 0===s?1:(s-function(e,t){if(0===e.length)return 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extends Ot{constructor(){super(...arguments),bt.add(this),this._chatCompletions=[],this.messages=[]}_addChatCompletion(e){this._chatCompletions.push(e),this._emit("chatCompletion",e);const t=e.choices[0]?.message;return t&&this._addMessage(t),e}_addMessage(e,t=!0){if("content"in e||(e.content=null),this.messages.push(e),t)if(this._emit("message",e),it(e)&&e.content)this._emit("functionToolCallResult",e.content);else if(ot(e)&&e.tool_calls)for(const t of e.tool_calls)"function"===t.type&&this._emit("functionToolCall",t.function)}async finalChatCompletion(){await this.done();const e=this._chatCompletions[this._chatCompletions.length-1];if(!e)throw new p("stream ended without producing a ChatCompletion");return e}async finalContent(){return await this.done(),u(this,bt,"m",vt).call(this)}async finalMessage(){return await this.done(),u(this,bt,"m",xt).call(this)}async finalFunctionToolCall(){return await this.done(),u(this,bt,"m",St).call(this)}async finalFunctionToolCallResult(){return await this.done(),u(this,bt,"m",At).call(this)}async totalUsage(){return await this.done(),u(this,bt,"m",$t).call(this)}allChatCompletions(){return[...this._chatCompletions]}_emitFinal(){const e=this._chatCompletions[this._chatCompletions.length-1];e&&this._emit("finalChatCompletion",e);const t=u(this,bt,"m",xt).call(this);t&&this._emit("finalMessage",t);const s=u(this,bt,"m",vt).call(this);s&&this._emit("finalContent",s);const n=u(this,bt,"m",St).call(this);n&&this._emit("finalFunctionToolCall",n);const r=u(this,bt,"m",At).call(this);null!=r&&this._emit("finalFunctionToolCallResult",r),this._chatCompletions.some((e=>e.usage))&&this._emit("totalUsage",u(this,bt,"m",$t).call(this))}async _createChatCompletion(e,t,s){const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),u(this,bt,"m",kt).call(this,t);const r=await e.chat.completions.create({...t,stream:!1},{...s,signal:this.controller.signal});return this._connected(),this._addChatCompletion(et(r,t))}async _runChatCompletion(e,t,s){for(const e of t.messages)this._addMessage(e,!1);return await this._createChatCompletion(e,t,s)}async _runTools(e,t,s){const n="tool",{tool_choice:r="auto",stream:o,...i}=t,a="string"!=typeof r&&"function"===r.type&&r?.function?.name,{maxChatCompletions:l=Et}=s||{},c=t.tools.map((e=>{if(Ze(e)){if(!e.$callback)throw new p("Tool given to `.runTools()` that does not have an associated function");return{type:"function",function:{function:e.$callback,name:e.function.name,description:e.function.description||"",parameters:e.function.parameters,parse:e.$parseRaw,strict:!0}}}return e})),h={};for(const e of c)"function"===e.type&&(h[e.function.name||e.function.function.name]=e.function);const d="tools"in t?c.map((e=>"function"===e.type?{type:"function",function:{name:e.function.name||e.function.function.name,parameters:e.function.parameters,description:e.function.description,strict:e.function.strict}}:e)):void 0;for(const e of t.messages)this._addMessage(e,!1);for(let t=0;tJSON.stringify(e))).join(", ")}. Please try again`;this._addMessage({role:n,tool_call_id:t,content:e});continue}if(a&&a!==s){const e=`Invalid tool_call: ${JSON.stringify(s)}. ${JSON.stringify(a)} requested. 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To use n>1, please use chat.completions.create() directly.")},Rt=function(e){return"string"==typeof e?e:void 0===e?"undefined":JSON.stringify(e)};class Tt extends Ct{static runTools(e,t,s){const n=new Tt,r={...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"runTools"}};return n._run((()=>n._runTools(e,t,r))),n}_addMessage(e,t=!0){super._addMessage(e,t),ot(e)&&e.content&&this._emit("content",e.content)}}const Pt=1,qt=2,Lt=4,jt=8,Mt=16,Nt=32,Dt=64,Bt=128,Wt=256,Ut=511;class Ft extends Error{}class Ht extends Error{}const Xt=(e,t)=>{const s=e.length;let n=0;const r=e=>{throw new Ft(`${e} at position ${n}`)},o=e=>{throw new Ht(`${e} at position ${n}`)},i=()=>(h(),n>=s&&r("Unexpected end of input"),'"'===e[n]?a():"{"===e[n]?l():"["===e[n]?c():"null"===e.substring(n,n+4)||Mt&t&&s-n<4&&"null".startsWith(e.substring(n))?(n+=4,null):"true"===e.substring(n,n+4)||Nt&t&&s-n<4&&"true".startsWith(e.substring(n))?(n+=4,!0):"false"===e.substring(n,n+5)||Nt&t&&s-n<5&&"false".startsWith(e.substring(n))?(n+=5,!1):"Infinity"===e.substring(n,n+8)||Bt&t&&s-n<8&&"Infinity".startsWith(e.substring(n))?(n+=8,1/0):"-Infinity"===e.substring(n,n+9)||Wt&t&&1{const i=n;let a=!1;for(n++;n{n++,h();const o={};try{for(;"}"!==e[n];){if(h(),n>=s&&jt&t)return o;const r=a();h(),n++;try{const e=i();Object.defineProperty(o,r,{value:e,writable:!0,enumerable:!0,configurable:!0})}catch(e){if(jt&t)return o;throw e}h(),","===e[n]&&n++}}catch(e){if(jt&t)return o;r("Expected '}' at end of object")}return n++,o},c=()=>{n++;const s=[];try{for(;"]"!==e[n];)s.push(i()),h(),","===e[n]&&n++}catch(e){if(Lt&t)return s;r("Expected ']' at end of array")}return n++,s},u=()=>{if(0===n){"-"===e&&qt&t&&r("Not sure what '-' is");try{return JSON.parse(e)}catch(s){if(qt&t)try{return"."===e[e.length-1]?JSON.parse(e.substring(0,e.lastIndexOf("."))):JSON.parse(e.substring(0,e.lastIndexOf("e")))}catch(e){}o(String(s))}}const i=n;for("-"===e[n]&&n++;e[n]&&!",]}".includes(e[n]);)n++;n!=s||qt&t||r("Unterminated number literal");try{return JSON.parse(e.substring(i,n))}catch(s){"-"===e.substring(i,n)&&qt&t&&r("Not sure what '-' is");try{return JSON.parse(e.substring(i,e.lastIndexOf("e")))}catch(e){o(String(e))}}},h=()=>{for(;nfunction(e,t=Ut){if("string"!=typeof e)throw new TypeError("expecting str, got "+typeof e);if(!e.trim())throw new Error(`${e} is empty`);return Xt(e.trim(),t)}(e,Ut^qt);var Kt,zt,Vt,Gt,Qt,Yt,Zt,es,ts,ss,ns,rs;class os extends Ct{constructor(e){super(),Kt.add(this),zt.set(this,void 0),Vt.set(this,void 0),Gt.set(this,void 0),c(this,zt,e),c(this,Vt,[])}get currentChatCompletionSnapshot(){return u(this,Gt,"f")}static fromReadableStream(e){const t=new os(null);return t._run((()=>t._fromReadableStream(e))),t}static createChatCompletion(e,t,s){const n=new os(t);return n._run((()=>n._runChatCompletion(e,{...t,stream:!0},{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),n}async _createChatCompletion(e,t,s){super._createChatCompletion;const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),u(this,Kt,"m",Qt).call(this);const r=await e.chat.completions.create({...t,stream:!0},{...s,signal:this.controller.signal});this._connected();for await(const e of r)u(this,Kt,"m",Zt).call(this,e);if(r.controller.signal?.aborted)throw new g;return this._addChatCompletion(u(this,Kt,"m",ss).call(this))}async _fromReadableStream(e,t){const s=t?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),u(this,Kt,"m",Qt).call(this),this._connected();const n=$e.fromReadableStream(e,this.controller);let r;for await(const e of n)r&&r!==e.id&&this._addChatCompletion(u(this,Kt,"m",ss).call(this)),u(this,Kt,"m",Zt).call(this,e),r=e.id;if(n.controller.signal?.aborted)throw new g;return this._addChatCompletion(u(this,Kt,"m",ss).call(this))}[(zt=new WeakMap,Vt=new WeakMap,Gt=new WeakMap,Kt=new WeakSet,Qt=function(){this.ended||c(this,Gt,void 0)},Yt=function(e){let t=u(this,Vt,"f")[e.index];return t||(t={content_done:!1,refusal_done:!1,logprobs_content_done:!1,logprobs_refusal_done:!1,done_tool_calls:new Set,current_tool_call_index:null},u(this,Vt,"f")[e.index]=t,t)},Zt=function(e){if(this.ended)return;const t=u(this,Kt,"m",rs).call(this,e);this._emit("chunk",e,t);for(const s of e.choices){const e=t.choices[s.index];null!=s.delta.content&&"assistant"===e.message?.role&&e.message?.content&&(this._emit("content",s.delta.content,e.message.content),this._emit("content.delta",{delta:s.delta.content,snapshot:e.message.content,parsed:e.message.parsed})),null!=s.delta.refusal&&"assistant"===e.message?.role&&e.message?.refusal&&this._emit("refusal.delta",{delta:s.delta.refusal,snapshot:e.message.refusal}),null!=s.logprobs?.content&&"assistant"===e.message?.role&&this._emit("logprobs.content.delta",{content:s.logprobs?.content,snapshot:e.logprobs?.content??[]}),null!=s.logprobs?.refusal&&"assistant"===e.message?.role&&this._emit("logprobs.refusal.delta",{refusal:s.logprobs?.refusal,snapshot:e.logprobs?.refusal??[]});const n=u(this,Kt,"m",Yt).call(this,e);e.finish_reason&&(u(this,Kt,"m",ts).call(this,e),null!=n.current_tool_call_index&&u(this,Kt,"m",es).call(this,e,n.current_tool_call_index));for(const t of s.delta.tool_calls??[])n.current_tool_call_index!==t.index&&(u(this,Kt,"m",ts).call(this,e),null!=n.current_tool_call_index&&u(this,Kt,"m",es).call(this,e,n.current_tool_call_index)),n.current_tool_call_index=t.index;for(const t of s.delta.tool_calls??[]){const s=e.message.tool_calls?.[t.index];s?.type&&("function"===s?.type&&this._emit("tool_calls.function.arguments.delta",{name:s.function?.name,index:t.index,arguments:s.function.arguments,parsed_arguments:s.function.parsed_arguments,arguments_delta:t.function?.arguments??""}))}}},es=function(e,t){if(u(this,Kt,"m",Yt).call(this,e).done_tool_calls.has(t))return;const s=e.message.tool_calls?.[t];if(!s)throw new Error("no tool call snapshot");if(!s.type)throw new Error("tool call snapshot missing `type`");if("function"===s.type){const e=u(this,zt,"f")?.tools?.find((e=>Qe(e)&&e.function.name===s.function.name));this._emit("tool_calls.function.arguments.done",{name:s.function.name,index:t,arguments:s.function.arguments,parsed_arguments:Ze(e)?e.$parseRaw(s.function.arguments):e?.function.strict?JSON.parse(s.function.arguments):null})}else s.type},ts=function(e){const t=u(this,Kt,"m",Yt).call(this,e);if(e.message.content&&!t.content_done){t.content_done=!0;const s=u(this,Kt,"m",ns).call(this);this._emit("content.done",{content:e.message.content,parsed:s?s.$parseRaw(e.message.content):null})}e.message.refusal&&!t.refusal_done&&(t.refusal_done=!0,this._emit("refusal.done",{refusal:e.message.refusal})),e.logprobs?.content&&!t.logprobs_content_done&&(t.logprobs_content_done=!0,this._emit("logprobs.content.done",{content:e.logprobs.content})),e.logprobs?.refusal&&!t.logprobs_refusal_done&&(t.logprobs_refusal_done=!0,this._emit("logprobs.refusal.done",{refusal:e.logprobs.refusal}))},ss=function(){if(this.ended)throw new 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l?{...o,index:n,finish_reason:s,logprobs:r,message:{...c,role:u,content:i,refusal:t.refusal??null,tool_calls:l.map(((t,s)=>{const{function:r,type:o,id:i,...a}=t,{arguments:l,name:c,...u}=r||{};if(null==i)throw new p(`missing choices[${n}].tool_calls[${s}].id\n${is(e)}`);if(null==o)throw new p(`missing choices[${n}].tool_calls[${s}].type\n${is(e)}`);if(null==c)throw new p(`missing choices[${n}].tool_calls[${s}].function.name\n${is(e)}`);if(null==l)throw new p(`missing choices[${n}].tool_calls[${s}].function.arguments\n${is(e)}`);return{...a,id:i,type:o,function:{...u,name:c,arguments:l}}}))}}:{...o,message:{...c,content:i,role:u,refusal:t.refusal??null},finish_reason:s,index:n,logprobs:r}})),created:r,model:o,object:"chat.completion",...i?{system_fingerprint:i}:{}};return function(e,t){return t&&nt(t)?et(e,t):{...e,choices:e.choices.map((e=>(rt(e.message.tool_calls),{...e,message:{...e.message,parsed:null,...e.message.tool_calls?{tool_calls:e.message.tool_calls}:void 0}})))}}(l,t)}(e,u(this,zt,"f"))},ns=function(){const e=u(this,zt,"f")?.response_format;return Ye(e)?e:null},rs=function(e){var t,s,n,r;let o=u(this,Gt,"f");const{choices:i,...a}=e;o?Object.assign(o,a):o=c(this,Gt,{...a,choices:[]});for(const{delta:i,finish_reason:a,index:l,logprobs:c=null,...h}of e.choices){let e=o.choices[l];if(e||(e=o.choices[l]={finish_reason:a,index:l,message:{},logprobs:c,...h}),c)if(e.logprobs){const{content:n,refusal:r,...o}=c;Object.assign(e.logprobs,o),n&&((t=e.logprobs).content??(t.content=[]),e.logprobs.content.push(...n)),r&&((s=e.logprobs).refusal??(s.refusal=[]),e.logprobs.refusal.push(...r))}else e.logprobs=Object.assign({},c);if(a&&(e.finish_reason=a,u(this,zt,"f")&&nt(u(this,zt,"f")))){if("length"===a)throw new R;if("content_filter"===a)throw new O}if(Object.assign(e,h),!i)continue;const{content:d,refusal:f,function_call:p,role:m,tool_calls:g,...y}=i;if(Object.assign(e.message,y),f&&(e.message.refusal=(e.message.refusal||"")+f),m&&(e.message.role=m),p&&(e.message.function_call?(p.name&&(e.message.function_call.name=p.name),p.arguments&&((n=e.message.function_call).arguments??(n.arguments=""),e.message.function_call.arguments+=p.arguments)):e.message.function_call=p),d&&(e.message.content=(e.message.content||"")+d,!e.message.refusal&&u(this,Kt,"m",ns).call(this)&&(e.message.parsed=Jt(e.message.content))),g){e.message.tool_calls||(e.message.tool_calls=[]);for(const{index:t,id:s,type:n,function:o,...i}of g){const a=(r=e.message.tool_calls)[t]??(r[t]={});Object.assign(a,i),s&&(a.id=s),n&&(a.type=n),o&&(a.function??(a.function={name:o.name??"",arguments:""})),o?.name&&(a.function.name=o.name),o?.arguments&&(a.function.arguments+=o.arguments,st(u(this,zt,"f"),a)&&(a.function.parsed_arguments=Jt(a.function.arguments)))}}}return o},Symbol.asyncIterator)](){const e=[],t=[];let s=!1;return this.on("chunk",(s=>{const n=t.shift();n?n.resolve(s):e.push(s)})),this.on("end",(()=>{s=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),this.on("error",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),{next:async()=>{if(!e.length)return s?{value:void 0,done:!0}:new Promise(((e,s)=>t.push({resolve:e,reject:s}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new $e(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function is(e){return JSON.stringify(e)}class as extends os{static fromReadableStream(e){const t=new as(null);return t._run((()=>t._fromReadableStream(e))),t}static runTools(e,t,s){const n=new as(t),r={...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"runTools"}};return n._run((()=>n._runTools(e,t,r))),n}}let ls=class extends Xe{constructor(){super(...arguments),this.messages=new Ge(this._client)}create(e,t){return this._client.post("/chat/completions",{body:e,...t,stream:e.stream??!1})}retrieve(e,t){return this._client.get(Ve`/chat/completions/${e}`,t)}update(e,t,s){return this._client.post(Ve`/chat/completions/${e}`,{body:t,...s})}list(e={},t){return this._client.getAPIList("/chat/completions",Pe,{query:e,...t})}delete(e,t){return this._client.delete(Ve`/chat/completions/${e}`,t)}parse(e,t){return function(e){for(const t of e??[]){if("function"!==t.type)throw new p(`Currently only \`function\` tool types support auto-parsing; Received \`${t.type}\``);if(!0!==t.function.strict)throw new p(`The \`${t.function.name}\` tool is not marked with \`strict: true\`. Only strict function tools can be auto-parsed`)}}(e.tools),this._client.chat.completions.create(e,{...t,headers:{...t?.headers,"X-Stainless-Helper-Method":"chat.completions.parse"}})._thenUnwrap((t=>et(t,e)))}runTools(e,t){return e.stream?as.runTools(this._client,e,t):Tt.runTools(this._client,e,t)}stream(e,t){return os.createChatCompletion(this._client,e,t)}};ls.Messages=Ge;class cs extends Xe{constructor(){super(...arguments),this.completions=new ls(this._client)}}cs.Completions=ls;const us=Symbol("brand.privateNullableHeaders");function*hs(e){if(!e)return;if(us in e){const{values:t,nulls:s}=e;yield*t.entries();for(const e of s)yield[e,null];return}let t,s=!1;e instanceof Headers?t=e.entries():T(e)?t=e:(s=!0,t=Object.entries(e??{}));for(let e of t){const t=e[0];if("string"!=typeof t)throw new TypeError("expected header name to be a string");const n=T(e[1])?e[1]:[e[1]];let r=!1;for(const e of n)void 0!==e&&(s&&!r&&(r=!0,yield[t,null]),yield[t,e])}}const ds=e=>{const t=new Headers,s=new Set;for(const n of e){const e=new Set;for(const[r,o]of hs(n)){const n=r.toLowerCase();e.has(n)||(t.delete(r),e.add(n)),null===o?(t.delete(r),s.add(n)):(t.append(r,o),s.delete(n))}}return{[us]:!0,values:t,nulls:s}};class fs extends Xe{create(e,t){return this._client.post("/audio/speech",{body:e,...t,headers:ds([{Accept:"application/octet-stream"},t?.headers]),__binaryResponse:!0})}}class ps extends Xe{create(e,t){return this._client.post("/audio/transcriptions",De({body:e,...t,stream:e.stream??!1,__metadata:{model:e.model}},this._client))}}class ms extends Xe{create(e,t){return this._client.post("/audio/translations",De({body:e,...t,__metadata:{model:e.model}},this._client))}}class gs extends Xe{constructor(){super(...arguments),this.transcriptions=new ps(this._client),this.translations=new ms(this._client),this.speech=new fs(this._client)}}gs.Transcriptions=ps,gs.Translations=ms,gs.Speech=fs;class ys extends Xe{create(e,t){return this._client.post("/batches",{body:e,...t})}retrieve(e,t){return this._client.get(Ve`/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/batches",Pe,{query:e,...t})}cancel(e,t){return this._client.post(Ve`/batches/${e}/cancel`,t)}}class ws extends Xe{create(e,t){return this._client.post("/assistants",{body:e,...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(Ve`/assistants/${e}`,{...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,s){return this._client.post(Ve`/assistants/${e}`,{body:t,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e={},t){return this._client.getAPIList("/assistants",Pe,{query:e,...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}delete(e,t){return this._client.delete(Ve`/assistants/${e}`,{...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class _s extends Xe{create(e,t){return 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this._client.getAPIList(Ve`/threads/${e}/messages`,Pe,{query:t,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}delete(e,t,s){const{thread_id:n}=t;return this._client.delete(Ve`/threads/${n}/messages/${e}`,{...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}}class Ss extends Xe{retrieve(e,t,s){const{thread_id:n,run_id:r,...o}=t;return this._client.get(Ve`/threads/${n}/runs/${r}/steps/${e}`,{query:o,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t,s){const{thread_id:n,...r}=t;return this._client.getAPIList(Ve`/threads/${n}/runs/${e}/steps`,Pe,{query:r,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}}const As=e=>void 0!==globalThis.process?globalThis.process.env?.[e]?.trim()??void 0:void 0!==globalThis.Deno?globalThis.Deno.env?.get?.(e)?.trim():void 0;var $s,ks,Rs,Os,Is,Es,Cs,Ts,Ps,qs,Ls,js,Ms,Ns,Ds,Bs,Ws,Us,Fs,Hs,Xs,Js,Ks;class zs extends Ot{constructor(){super(...arguments),$s.add(this),Rs.set(this,[]),Os.set(this,{}),Is.set(this,{}),Es.set(this,void 0),Cs.set(this,void 0),Ts.set(this,void 0),Ps.set(this,void 0),qs.set(this,void 0),Ls.set(this,void 0),js.set(this,void 0),Ms.set(this,void 0),Ns.set(this,void 0)}[(Rs=new WeakMap,Os=new WeakMap,Is=new WeakMap,Es=new WeakMap,Cs=new WeakMap,Ts=new WeakMap,Ps=new WeakMap,qs=new WeakMap,Ls=new WeakMap,js=new WeakMap,Ms=new WeakMap,Ns=new WeakMap,$s=new WeakSet,Symbol.asyncIterator)](){const e=[],t=[];let s=!1;return this.on("event",(s=>{const n=t.shift();n?n.resolve(s):e.push(s)})),this.on("end",(()=>{s=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),this.on("error",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),{next:async()=>{if(!e.length)return s?{value:void 0,done:!0}:new Promise(((e,s)=>t.push({resolve:e,reject:s}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}static fromReadableStream(e){const t=new ks;return t._run((()=>t._fromReadableStream(e))),t}async _fromReadableStream(e,t){const s=t?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),this._connected();const n=$e.fromReadableStream(e,this.controller);for await(const e of n)u(this,$s,"m",Ds).call(this,e);if(n.controller.signal?.aborted)throw new g;return this._addRun(u(this,$s,"m",Bs).call(this))}toReadableStream(){return new $e(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}static createToolAssistantStream(e,t,s,n){const r=new ks;return r._run((()=>r._runToolAssistantStream(e,t,s,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}async _createToolAssistantStream(e,t,s,n){const r=n?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const o={...s,stream:!0},i=await e.submitToolOutputs(t,o,{...n,signal:this.controller.signal});this._connected();for await(const e of i)u(this,$s,"m",Ds).call(this,e);if(i.controller.signal?.aborted)throw new g;return this._addRun(u(this,$s,"m",Bs).call(this))}static createThreadAssistantStream(e,t,s){const n=new ks;return n._run((()=>n._threadAssistantStream(e,t,{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),n}static createAssistantStream(e,t,s,n){const r=new ks;return r._run((()=>r._runAssistantStream(e,t,s,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}currentEvent(){return u(this,js,"f")}currentRun(){return u(this,Ms,"f")}currentMessageSnapshot(){return u(this,Es,"f")}currentRunStepSnapshot(){return u(this,Ns,"f")}async finalRunSteps(){return await this.done(),Object.values(u(this,Os,"f"))}async finalMessages(){return await this.done(),Object.values(u(this,Is,"f"))}async finalRun(){if(await this.done(),!u(this,Cs,"f"))throw Error("Final run was not received.");return u(this,Cs,"f")}async _createThreadAssistantStream(e,t,s){const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort())));const r={...t,stream:!0},o=await e.createAndRun(r,{...s,signal:this.controller.signal});this._connected();for await(const e of o)u(this,$s,"m",Ds).call(this,e);if(o.controller.signal?.aborted)throw new g;return this._addRun(u(this,$s,"m",Bs).call(this))}async _createAssistantStream(e,t,s,n){const r=n?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const o={...s,stream:!0},i=await e.create(t,o,{...n,signal:this.controller.signal});this._connected();for await(const e of i)u(this,$s,"m",Ds).call(this,e);if(i.controller.signal?.aborted)throw new g;return this._addRun(u(this,$s,"m",Bs).call(this))}static accumulateDelta(e,t){for(const[s,n]of Object.entries(t)){if(!e.hasOwnProperty(s)){e[s]=n;continue}let t=e[s];if(null!=t)if("index"!==s&&"type"!==s){if("string"==typeof t&&"string"==typeof n)t+=n;else if("number"==typeof t&&"number"==typeof n)t+=n;else{if(!q(t)||!q(n)){if(Array.isArray(t)&&Array.isArray(n)){if(t.every((e=>"string"==typeof e||"number"==typeof e))){t.push(...n);continue}for(const e of n){if(!q(e))throw new Error(`Expected array delta entry to be an object but got: ${e}`);const s=e.index;if(null==s)throw console.error(e),new Error("Expected array delta entry to have an `index` property");if("number"!=typeof s)throw new Error(`Expected array delta entry \`index\` property to be a number but got ${s}`);const n=t[s];null==n?t.push(e):t[s]=this.accumulateDelta(n,e)}continue}throw Error(`Unhandled record type: ${s}, deltaValue: ${n}, accValue: ${t}`)}t=this.accumulateDelta(t,n)}e[s]=t}else e[s]=n;else e[s]=n}return e}_addRun(e){return e}async _threadAssistantStream(e,t,s){return await this._createThreadAssistantStream(t,e,s)}async _runAssistantStream(e,t,s,n){return await this._createAssistantStream(t,e,s,n)}async _runToolAssistantStream(e,t,s,n){return await this._createToolAssistantStream(t,e,s,n)}}ks=zs,Ds=function(e){if(!this.ended)switch(c(this,js,e),u(this,$s,"m",Fs).call(this,e),e.event){case"thread.created":break;case"thread.run.created":case"thread.run.queued":case"thread.run.in_progress":case"thread.run.requires_action":case"thread.run.completed":case"thread.run.incomplete":case"thread.run.failed":case"thread.run.cancelling":case"thread.run.cancelled":case"thread.run.expired":u(this,$s,"m",Ks).call(this,e);break;case"thread.run.step.created":case"thread.run.step.in_progress":case"thread.run.step.delta":case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":u(this,$s,"m",Us).call(this,e);break;case"thread.message.created":case"thread.message.in_progress":case"thread.message.delta":case"thread.message.completed":case"thread.message.incomplete":u(this,$s,"m",Ws).call(this,e);break;case"error":throw new Error("Encountered an error event in event processing - errors should be processed earlier")}},Bs=function(){if(this.ended)throw new p("stream has ended, this shouldn't happen");if(!u(this,Cs,"f"))throw Error("Final run has not been received");return u(this,Cs,"f")},Ws=function(e){const[t,s]=u(this,$s,"m",Xs).call(this,e,u(this,Es,"f"));c(this,Es,t),u(this,Is,"f")[t.id]=t;for(const e of s){const s=t.content[e.index];"text"==s?.type&&this._emit("textCreated",s.text)}switch(e.event){case"thread.message.created":this._emit("messageCreated",e.data);break;case"thread.message.in_progress":break;case"thread.message.delta":if(this._emit("messageDelta",e.data.delta,t),e.data.delta.content)for(const s of e.data.delta.content){if("text"==s.type&&s.text){let e=s.text,n=t.content[s.index];if(!n||"text"!=n.type)throw Error("The snapshot associated with this text delta is not text or missing");this._emit("textDelta",e,n.text)}if(s.index!=u(this,Ts,"f")){if(u(this,Ps,"f"))switch(u(this,Ps,"f").type){case"text":this._emit("textDone",u(this,Ps,"f").text,u(this,Es,"f"));break;case"image_file":this._emit("imageFileDone",u(this,Ps,"f").image_file,u(this,Es,"f"))}c(this,Ts,s.index)}c(this,Ps,t.content[s.index])}break;case"thread.message.completed":case"thread.message.incomplete":if(void 0!==u(this,Ts,"f")){const t=e.data.content[u(this,Ts,"f")];if(t)switch(t.type){case"image_file":this._emit("imageFileDone",t.image_file,u(this,Es,"f"));break;case"text":this._emit("textDone",t.text,u(this,Es,"f"))}}u(this,Es,"f")&&this._emit("messageDone",e.data),c(this,Es,void 0)}},Us=function(e){const t=u(this,$s,"m",Hs).call(this,e);switch(c(this,Ns,t),e.event){case"thread.run.step.created":this._emit("runStepCreated",e.data);break;case"thread.run.step.delta":const s=e.data.delta;if(s.step_details&&"tool_calls"==s.step_details.type&&s.step_details.tool_calls&&"tool_calls"==t.step_details.type)for(const e of s.step_details.tool_calls)e.index==u(this,qs,"f")?this._emit("toolCallDelta",e,t.step_details.tool_calls[e.index]):(u(this,Ls,"f")&&this._emit("toolCallDone",u(this,Ls,"f")),c(this,qs,e.index),c(this,Ls,t.step_details.tool_calls[e.index]),u(this,Ls,"f")&&this._emit("toolCallCreated",u(this,Ls,"f")));this._emit("runStepDelta",e.data.delta,t);break;case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":c(this,Ns,void 0);"tool_calls"==e.data.step_details.type&&u(this,Ls,"f")&&(this._emit("toolCallDone",u(this,Ls,"f")),c(this,Ls,void 0)),this._emit("runStepDone",e.data,t)}},Fs=function(e){u(this,Rs,"f").push(e),this._emit("event",e)},Hs=function(e){switch(e.event){case"thread.run.step.created":return u(this,Os,"f")[e.data.id]=e.data,e.data;case"thread.run.step.delta":let t=u(this,Os,"f")[e.data.id];if(!t)throw Error("Received a RunStepDelta before creation of a snapshot");let s=e.data;if(s.delta){const n=ks.accumulateDelta(t,s.delta);u(this,Os,"f")[e.data.id]=n}return u(this,Os,"f")[e.data.id];case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":case"thread.run.step.in_progress":u(this,Os,"f")[e.data.id]=e.data}if(u(this,Os,"f")[e.data.id])return u(this,Os,"f")[e.data.id];throw new Error("No snapshot available")},Xs=function(e,t){let s=[];switch(e.event){case"thread.message.created":return[e.data,s];case"thread.message.delta":if(!t)throw Error("Received a delta with no existing snapshot (there should be one from message creation)");let n=e.data;if(n.delta.content)for(const e of n.delta.content)if(e.index in t.content){let s=t.content[e.index];t.content[e.index]=u(this,$s,"m",Js).call(this,e,s)}else t.content[e.index]=e,s.push(e);return[t,s];case"thread.message.in_progress":case"thread.message.completed":case"thread.message.incomplete":if(t)return[t,s];throw Error("Received thread message event with no existing snapshot")}throw Error("Tried to accumulate a non-message event")},Js=function(e,t){return ks.accumulateDelta(t,e)},Ks=function(e){switch(c(this,Ms,e.data),e.event){case"thread.run.created":case"thread.run.queued":case"thread.run.in_progress":break;case"thread.run.requires_action":case"thread.run.cancelled":case"thread.run.failed":case"thread.run.completed":case"thread.run.expired":case"thread.run.incomplete":c(this,Cs,e.data),u(this,Ls,"f")&&(this._emit("toolCallDone",u(this,Ls,"f")),c(this,Ls,void 0))}};let Vs=class extends Xe{constructor(){super(...arguments),this.steps=new Ss(this._client)}create(e,t,s){const{include:n,...r}=t;return this._client.post(Ve`/threads/${e}/runs`,{query:{include:n},body:r,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers]),stream:t.stream??!1})}retrieve(e,t,s){const{thread_id:n}=t;return this._client.get(Ve`/threads/${n}/runs/${e}`,{...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}update(e,t,s){const{thread_id:n,...r}=t;return this._client.post(Ve`/threads/${n}/runs/${e}`,{body:r,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t={},s){return this._client.getAPIList(Ve`/threads/${e}/runs`,Pe,{query:t,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}cancel(e,t,s){const{thread_id:n}=t;return this._client.post(Ve`/threads/${n}/runs/${e}/cancel`,{...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}async createAndPoll(e,t,s){const n=await this.create(e,t,s);return await this.poll(n.id,{thread_id:e},s)}createAndStream(e,t,s){return zs.createAssistantStream(e,this._client.beta.threads.runs,t,s)}async poll(e,t,s){const n=ds([s?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":s?.pollIntervalMs?.toString()??void 0}]);for(;;){const{data:r,response:o}=await this.retrieve(e,t,{...s,headers:{...s?.headers,...n}}).withResponse();switch(r.status){case"queued":case"in_progress":case"cancelling":let e=5e3;if(s?.pollIntervalMs)e=s.pollIntervalMs;else{const t=o.headers.get("openai-poll-after-ms");if(t){const s=parseInt(t);isNaN(s)||(e=s)}}await L(e);break;case"requires_action":case"incomplete":case"cancelled":case"completed":case"failed":case"expired":return r}}}stream(e,t,s){return zs.createAssistantStream(e,this._client.beta.threads.runs,t,s)}submitToolOutputs(e,t,s){const{thread_id:n,...r}=t;return this._client.post(Ve`/threads/${n}/runs/${e}/submit_tool_outputs`,{body:r,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers]),stream:t.stream??!1})}async submitToolOutputsAndPoll(e,t,s){const n=await this.submitToolOutputs(e,t,s);return await this.poll(n.id,t,s)}submitToolOutputsStream(e,t,s){return zs.createToolAssistantStream(e,this._client.beta.threads.runs,t,s)}};Vs.Steps=Ss;class Gs extends Xe{constructor(){super(...arguments),this.runs=new Vs(this._client),this.messages=new xs(this._client)}create(e={},t){return this._client.post("/threads",{body:e,...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(Ve`/threads/${e}`,{...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,s){return this._client.post(Ve`/threads/${e}`,{body:t,...s,headers:ds([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}delete(e,t){return this._client.delete(Ve`/threads/${e}`,{...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}createAndRun(e,t){return this._client.post("/threads/runs",{body:e,...t,headers:ds([{"OpenAI-Beta":"assistants=v2"},t?.headers]),stream:e.stream??!1})}async createAndRunPoll(e,t){const s=await this.createAndRun(e,t);return await this.runs.poll(s.id,{thread_id:s.thread_id},t)}createAndRunStream(e,t){return zs.createThreadAssistantStream(e,this._client.beta.threads,t)}}Gs.Runs=Vs,Gs.Messages=xs;class Qs extends Xe{constructor(){super(...arguments),this.realtime=new vs(this._client),this.assistants=new ws(this._client),this.threads=new Gs(this._client)}}Qs.Realtime=vs,Qs.Assistants=ws,Qs.Threads=Gs;class Ys extends Xe{create(e,t){return this._client.post("/completions",{body:e,...t,stream:e.stream??!1})}}class Zs extends Xe{retrieve(e,t,s){const{container_id:n}=t;return this._client.get(Ve`/containers/${n}/files/${e}/content`,{...s,headers:ds([{Accept:"application/binary"},s?.headers]),__binaryResponse:!0})}}let en=class extends Xe{constructor(){super(...arguments),this.content=new Zs(this._client)}create(e,t,s){return this._client.post(Ve`/containers/${e}/files`,De({body:t,...s},this._client))}retrieve(e,t,s){const{container_id:n}=t;return this._client.get(Ve`/containers/${n}/files/${e}`,s)}list(e,t={},s){return this._client.getAPIList(Ve`/containers/${e}/files`,Pe,{query:t,...s})}delete(e,t,s){const{container_id:n}=t;return this._client.delete(Ve`/containers/${n}/files/${e}`,{...s,headers:ds([{Accept:"*/*"},s?.headers])})}};en.Content=Zs;class tn extends Xe{constructor(){super(...arguments),this.files=new en(this._client)}create(e,t){return this._client.post("/containers",{body:e,...t})}retrieve(e,t){return this._client.get(Ve`/containers/${e}`,t)}list(e={},t){return this._client.getAPIList("/containers",Pe,{query:e,...t})}delete(e,t){return this._client.delete(Ve`/containers/${e}`,{...t,headers:ds([{Accept:"*/*"},t?.headers])})}}tn.Files=en;class sn extends Xe{create(e,t,s){const{include:n,...r}=t;return this._client.post(Ve`/conversations/${e}/items`,{query:{include:n},body:r,...s})}retrieve(e,t,s){const{conversation_id:n,...r}=t;return this._client.get(Ve`/conversations/${n}/items/${e}`,{query:r,...s})}list(e,t={},s){return this._client.getAPIList(Ve`/conversations/${e}/items`,qe,{query:t,...s})}delete(e,t,s){const{conversation_id:n}=t;return this._client.delete(Ve`/conversations/${n}/items/${e}`,s)}}class nn extends Xe{constructor(){super(...arguments),this.items=new sn(this._client)}create(e={},t){return this._client.post("/conversations",{body:e,...t})}retrieve(e,t){return this._client.get(Ve`/conversations/${e}`,t)}update(e,t,s){return this._client.post(Ve`/conversations/${e}`,{body:t,...s})}delete(e,t){return this._client.delete(Ve`/conversations/${e}`,t)}}nn.Items=sn;class rn extends Xe{create(e,t){const s=!!e.encoding_format;let n=s?e.encoding_format:"base64";s&&be(this._client).debug("embeddings/user defined encoding_format:",e.encoding_format);const r=this._client.post("/embeddings",{body:{...e,encoding_format:n},...t});return s?r:(be(this._client).debug("embeddings/decoding base64 embeddings from base64"),r._thenUnwrap((e=>(e&&e.data&&e.data.forEach((e=>{const t=e.embedding;e.embedding=(e=>{if("undefined"!=typeof Buffer){const t=Buffer.from(e,"base64");return Array.from(new Float32Array(t.buffer,t.byteOffset,t.length/Float32Array.BYTES_PER_ELEMENT))}{const t=atob(e),s=t.length,n=new Uint8Array(s);for(let e=0;es)throw new w({message:`Giving up on waiting for file ${e} to finish processing after ${s} milliseconds.`});return o}};class un extends Xe{}let hn=class extends Xe{run(e,t){return this._client.post("/fine_tuning/alpha/graders/run",{body:e,...t})}validate(e,t){return this._client.post("/fine_tuning/alpha/graders/validate",{body:e,...t})}};class dn extends Xe{constructor(){super(...arguments),this.graders=new hn(this._client)}}dn.Graders=hn;class fn extends Xe{create(e,t,s){return this._client.getAPIList(Ve`/fine_tuning/checkpoints/${e}/permissions`,Te,{body:t,method:"post",...s})}retrieve(e,t={},s){return this._client.get(Ve`/fine_tuning/checkpoints/${e}/permissions`,{query:t,...s})}delete(e,t,s){const{fine_tuned_model_checkpoint:n}=t;return this._client.delete(Ve`/fine_tuning/checkpoints/${n}/permissions/${e}`,s)}}let pn=class extends Xe{constructor(){super(...arguments),this.permissions=new fn(this._client)}};pn.Permissions=fn;class mn extends Xe{list(e,t={},s){return this._client.getAPIList(Ve`/fine_tuning/jobs/${e}/checkpoints`,Pe,{query:t,...s})}}class gn extends Xe{constructor(){super(...arguments),this.checkpoints=new mn(this._client)}create(e,t){return this._client.post("/fine_tuning/jobs",{body:e,...t})}retrieve(e,t){return this._client.get(Ve`/fine_tuning/jobs/${e}`,t)}list(e={},t){return this._client.getAPIList("/fine_tuning/jobs",Pe,{query:e,...t})}cancel(e,t){return this._client.post(Ve`/fine_tuning/jobs/${e}/cancel`,t)}listEvents(e,t={},s){return this._client.getAPIList(Ve`/fine_tuning/jobs/${e}/events`,Pe,{query:t,...s})}pause(e,t){return this._client.post(Ve`/fine_tuning/jobs/${e}/pause`,t)}resume(e,t){return this._client.post(Ve`/fine_tuning/jobs/${e}/resume`,t)}}gn.Checkpoints=mn;class yn extends Xe{constructor(){super(...arguments),this.methods=new un(this._client),this.jobs=new gn(this._client),this.checkpoints=new pn(this._client),this.alpha=new dn(this._client)}}yn.Methods=un,yn.Jobs=gn,yn.Checkpoints=pn,yn.Alpha=dn;class wn extends Xe{}class _n extends Xe{constructor(){super(...arguments),this.graderModels=new wn(this._client)}}_n.GraderModels=wn;class bn extends Xe{createVariation(e,t){return this._client.post("/images/variations",De({body:e,...t},this._client))}edit(e,t){return this._client.post("/images/edits",De({body:e,...t,stream:e.stream??!1},this._client))}generate(e,t){return this._client.post("/images/generations",{body:e,...t,stream:e.stream??!1})}}class vn extends Xe{retrieve(e,t){return this._client.get(Ve`/models/${e}`,t)}list(e){return this._client.getAPIList("/models",Te,e)}delete(e,t){return 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vn(this),this.fineTuning=new yn(this),this.graders=new _n(this),this.vectorStores=new Xn(this),this.webhooks=new Zn(this),this.beta=new Qs(this),this.batches=new ys(this),this.uploads=new Un(this),this.responses=new Bn(this),this.realtime=new An(this),this.conversations=new nn(this),this.evals=new ln(this),this.containers=new tn(this),void 0===t)throw new p("Missing credentials. 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0!==e.function}function nt(e){return"auto-parseable-response-format"===e?.$brand}function rt(e){return"auto-parseable-tool"===e?.$brand}function ot(e,t){const s=e.choices.map((e=>{if("length"===e.finish_reason)throw new C;if("content_filter"===e.finish_reason)throw new T;return lt(e.message.tool_calls),{...e,message:{...e.message,...e.message.tool_calls?{tool_calls:e.message.tool_calls?.map((e=>function(e,t){const s=e.tools?.find((e=>st(e)&&e.function?.name===t.function.name));return{...t,function:{...t.function,parsed_arguments:rt(s)?s.$parseRaw(t.function.arguments):s?.function.strict?JSON.parse(t.function.arguments):null}}}(t,e)))??void 0}:void 0,parsed:e.message.content&&!e.message.refusal?it(t,e.message.content):null}}}));return{...e,choices:s}}function it(e,t){if("json_schema"!==e.response_format?.type)return null;if("json_schema"===e.response_format?.type){if("$parseRaw"in e.response_format){return e.response_format.$parseRaw(t)}return JSON.parse(t)}return null}function 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Promise(((e,t)=>{f(this,yt,e),f(this,_t,t)}))),m(this,pt,"f").catch((()=>{})),m(this,gt,"f").catch((()=>{}))}_run(e){setTimeout((()=>{e().then((()=>{this._emitFinal(),this._emit("end")}),m(this,ht,"m",At).bind(this))}),0)}_connected(){this.ended||(m(this,ft,"f").call(this),this._emit("connect"))}get ended(){return m(this,bt,"f")}get errored(){return m(this,vt,"f")}get aborted(){return m(this,xt,"f")}abort(){this.controller.abort()}on(e,t){return(m(this,wt,"f")[e]||(m(this,wt,"f")[e]=[])).push({listener:t}),this}off(e,t){const s=m(this,wt,"f")[e];if(!s)return this;const n=s.findIndex((e=>e.listener===t));return n>=0&&s.splice(n,1),this}once(e,t){return(m(this,wt,"f")[e]||(m(this,wt,"f")[e]=[])).push({listener:t,once:!0}),this}emitted(e){return new Promise(((t,s)=>{f(this,St,!0),"error"!==e&&this.once("error",s),this.once(e,t)}))}async done(){f(this,St,!0),await m(this,gt,"f")}_emit(e,...t){if(m(this,bt,"f"))return;"end"===e&&(f(this,bt,!0),m(this,yt,"f").call(this));const s=m(this,wt,"f")[e];if(s&&(m(this,wt,"f")[e]=s.filter((e=>!e.once)),s.forEach((({listener:e})=>e(...t)))),"abort"===e){const e=t[0];return m(this,St,"f")||s?.length||Promise.reject(e),m(this,mt,"f").call(this,e),m(this,_t,"f").call(this,e),void this._emit("end")}if("error"===e){const e=t[0];m(this,St,"f")||s?.length||Promise.reject(e),m(this,mt,"f").call(this,e),m(this,_t,"f").call(this,e),this._emit("end")}}_emitFinal(){}}function Lt(e){return"function"==typeof e.parse}pt=new WeakMap,ft=new WeakMap,mt=new WeakMap,gt=new WeakMap,yt=new WeakMap,_t=new WeakMap,wt=new WeakMap,bt=new WeakMap,vt=new WeakMap,xt=new WeakMap,St=new WeakMap,ht=new WeakSet,At=function(e){if(f(this,vt,!0),e instanceof Error&&"AbortError"===e.name&&(e=new v),e instanceof v)return f(this,xt,!0),this._emit("abort",e);if(e instanceof w)return this._emit("error",e);if(e instanceof Error){const t=new w(e.message);return t.cause=e,this._emit("error",t)}return this._emit("error",new w(String(e)))};const Pt=10;class Nt extends Tt{constructor(){super(...arguments),Et.add(this),this._chatCompletions=[],this.messages=[]}_addChatCompletion(e){this._chatCompletions.push(e),this._emit("chatCompletion",e);const t=e.choices[0]?.message;return t&&this._addMessage(t),e}_addMessage(e,t=!0){if("content"in e||(e.content=null),this.messages.push(e),t)if(this._emit("message",e),dt(e)&&e.content)this._emit("functionToolCallResult",e.content);else if(ut(e)&&e.tool_calls)for(const t of e.tool_calls)"function"===t.type&&this._emit("functionToolCall",t.function)}async finalChatCompletion(){await this.done();const e=this._chatCompletions[this._chatCompletions.length-1];if(!e)throw new w("stream ended without producing a ChatCompletion");return e}async finalContent(){return await this.done(),m(this,Et,"m",Rt).call(this)}async finalMessage(){return await this.done(),m(this,Et,"m",$t).call(this)}async finalFunctionToolCall(){return await this.done(),m(this,Et,"m",It).call(this)}async finalFunctionToolCallResult(){return await this.done(),m(this,Et,"m",Ot).call(this)}async totalUsage(){return await this.done(),m(this,Et,"m",qt).call(this)}allChatCompletions(){return[...this._chatCompletions]}_emitFinal(){const e=this._chatCompletions[this._chatCompletions.length-1];e&&this._emit("finalChatCompletion",e);const t=m(this,Et,"m",$t).call(this);t&&this._emit("finalMessage",t);const s=m(this,Et,"m",Rt).call(this);s&&this._emit("finalContent",s);const n=m(this,Et,"m",It).call(this);n&&this._emit("finalFunctionToolCall",n);const r=m(this,Et,"m",Ot).call(this);null!=r&&this._emit("finalFunctionToolCallResult",r),this._chatCompletions.some((e=>e.usage))&&this._emit("totalUsage",m(this,Et,"m",qt).call(this))}async _createChatCompletion(e,t,s){const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),m(this,Et,"m",kt).call(this,t);const r=await e.chat.completions.create({...t,stream:!1},{...s,signal:this.controller.signal});return this._connected(),this._addChatCompletion(ot(r,t))}async _runChatCompletion(e,t,s){for(const e of t.messages)this._addMessage(e,!1);return await this._createChatCompletion(e,t,s)}async _runTools(e,t,s){const n="tool",{tool_choice:r="auto",stream:o,...i}=t,a="string"!=typeof r&&"function"===r.type&&r?.function?.name,{maxChatCompletions:c=Pt}=s||{},l=t.tools.map((e=>{if(rt(e)){if(!e.$callback)throw new w("Tool given to `.runTools()` that does not have an associated function");return{type:"function",function:{function:e.$callback,name:e.function.name,description:e.function.description||"",parameters:e.function.parameters,parse:e.$parseRaw,strict:!0}}}return e})),u={};for(const e of l)"function"===e.type&&(u[e.function.name||e.function.function.name]=e.function);const d="tools"in t?l.map((e=>"function"===e.type?{type:"function",function:{name:e.function.name||e.function.function.name,parameters:e.function.parameters,description:e.function.description,strict:e.function.strict}}:e)):void 0;for(const e of t.messages)this._addMessage(e,!1);for(let t=0;tJSON.stringify(e))).join(", ")}. Please try again`;this._addMessage({role:n,tool_call_id:t,content:e});continue}if(a&&a!==s){const e=`Invalid tool_call: ${JSON.stringify(s)}. ${JSON.stringify(a)} requested. Please try again`;this._addMessage({role:n,tool_call_id:t,content:e});continue}let i;try{i=Lt(o)?await o.parse(r):r}catch(e){const s=e instanceof Error?e.message:String(e);this._addMessage({role:n,tool_call_id:t,content:s});continue}const c=await o.function(i,this),l=m(this,Et,"m",Ct).call(this,c);if(this._addMessage({role:n,tool_call_id:t,content:l}),a)return}}}}Et=new WeakSet,Rt=function(){return m(this,Et,"m",$t).call(this).content??null},$t=function(){let e=this.messages.length;for(;e-- >0;){const t=this.messages[e];if(ut(t)){return{...t,content:t.content??null,refusal:t.refusal??null}}}throw new w("stream ended without producing a ChatCompletionMessage with role=assistant")},It=function(){for(let e=this.messages.length-1;e>=0;e--){const t=this.messages[e];if(ut(t)&&t?.tool_calls?.length)return t.tool_calls.filter((e=>"function"===e.type)).at(-1)?.function}},Ot=function(){for(let e=this.messages.length-1;e>=0;e--){const t=this.messages[e];if(dt(t)&&null!=t.content&&"string"==typeof t.content&&this.messages.some((e=>"assistant"===e.role&&e.tool_calls?.some((e=>"function"===e.type&&e.id===t.tool_call_id)))))return t.content}},qt=function(){const e={completion_tokens:0,prompt_tokens:0,total_tokens:0};for(const{usage:t}of this._chatCompletions)t&&(e.completion_tokens+=t.completion_tokens,e.prompt_tokens+=t.prompt_tokens,e.total_tokens+=t.total_tokens);return e},kt=function(e){if(null!=e.n&&e.n>1)throw new w("ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.")},Ct=function(e){return"string"==typeof e?e:void 0===e?"undefined":JSON.stringify(e)};class jt extends Nt{static runTools(e,t,s){const n=new jt,r={...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"runTools"}};return n._run((()=>n._runTools(e,t,r))),n}_addMessage(e,t=!0){super._addMessage(e,t),ut(e)&&e.content&&this._emit("content",e.content)}}const Mt=1,Dt=2,Wt=4,Bt=8,Ut=16,Ft=32,Ht=64,Xt=128,Jt=256,Kt=511;class Gt extends Error{}class Vt extends Error{}const zt=(e,t)=>{const s=e.length;let n=0;const r=e=>{throw new Gt(`${e} at position ${n}`)},o=e=>{throw new Vt(`${e} at position ${n}`)},i=()=>(d(),n>=s&&r("Unexpected end of input"),'"'===e[n]?a():"{"===e[n]?c():"["===e[n]?l():"null"===e.substring(n,n+4)||Ut&t&&s-n<4&&"null".startsWith(e.substring(n))?(n+=4,null):"true"===e.substring(n,n+4)||Ft&t&&s-n<4&&"true".startsWith(e.substring(n))?(n+=4,!0):"false"===e.substring(n,n+5)||Ft&t&&s-n<5&&"false".startsWith(e.substring(n))?(n+=5,!1):"Infinity"===e.substring(n,n+8)||Xt&t&&s-n<8&&"Infinity".startsWith(e.substring(n))?(n+=8,1/0):"-Infinity"===e.substring(n,n+9)||Jt&t&&1{const i=n;let a=!1;for(n++;n{n++,d();const o={};try{for(;"}"!==e[n];){if(d(),n>=s&&Bt&t)return o;const r=a();d(),n++;try{const e=i();Object.defineProperty(o,r,{value:e,writable:!0,enumerable:!0,configurable:!0})}catch(e){if(Bt&t)return o;throw e}d(),","===e[n]&&n++}}catch(e){if(Bt&t)return o;r("Expected '}' at end of object")}return n++,o},l=()=>{n++;const s=[];try{for(;"]"!==e[n];)s.push(i()),d(),","===e[n]&&n++}catch(e){if(Wt&t)return s;r("Expected ']' at end of array")}return n++,s},u=()=>{if(0===n){"-"===e&&Dt&t&&r("Not sure what '-' is");try{return JSON.parse(e)}catch(s){if(Dt&t)try{return"."===e[e.length-1]?JSON.parse(e.substring(0,e.lastIndexOf("."))):JSON.parse(e.substring(0,e.lastIndexOf("e")))}catch(e){}o(String(s))}}const i=n;for("-"===e[n]&&n++;e[n]&&!",]}".includes(e[n]);)n++;n!=s||Dt&t||r("Unterminated number literal");try{return JSON.parse(e.substring(i,n))}catch(s){"-"===e.substring(i,n)&&Dt&t&&r("Not sure what '-' is");try{return JSON.parse(e.substring(i,e.lastIndexOf("e")))}catch(e){o(String(e))}}},d=()=>{for(;nfunction(e,t=Kt){if("string"!=typeof e)throw new TypeError("expecting str, got "+typeof e);if(!e.trim())throw new Error(`${e} is empty`);return zt(e.trim(),t)}(e,Kt^Dt);var Yt,Zt,es,ts,ss,ns,rs,os,is,as,cs,ls;class us extends Nt{constructor(e){super(),Yt.add(this),Zt.set(this,void 0),es.set(this,void 0),ts.set(this,void 0),f(this,Zt,e),f(this,es,[])}get currentChatCompletionSnapshot(){return m(this,ts,"f")}static fromReadableStream(e){const t=new us(null);return t._run((()=>t._fromReadableStream(e))),t}static createChatCompletion(e,t,s){const n=new us(t);return n._run((()=>n._runChatCompletion(e,{...t,stream:!0},{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),n}async _createChatCompletion(e,t,s){super._createChatCompletion;const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),m(this,Yt,"m",ss).call(this);const r=await e.chat.completions.create({...t,stream:!0},{...s,signal:this.controller.signal});this._connected();for await(const e of r)m(this,Yt,"m",rs).call(this,e);if(r.controller.signal?.aborted)throw new v;return this._addChatCompletion(m(this,Yt,"m",as).call(this))}async _fromReadableStream(e,t){const s=t?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),m(this,Yt,"m",ss).call(this),this._connected();const n=qe.fromReadableStream(e,this.controller);let r;for await(const e of n)r&&r!==e.id&&this._addChatCompletion(m(this,Yt,"m",as).call(this)),m(this,Yt,"m",rs).call(this,e),r=e.id;if(n.controller.signal?.aborted)throw new v;return this._addChatCompletion(m(this,Yt,"m",as).call(this))}[(Zt=new WeakMap,es=new WeakMap,ts=new WeakMap,Yt=new WeakSet,ss=function(){this.ended||f(this,ts,void 0)},ns=function(e){let t=m(this,es,"f")[e.index];return t||(t={content_done:!1,refusal_done:!1,logprobs_content_done:!1,logprobs_refusal_done:!1,done_tool_calls:new Set,current_tool_call_index:null},m(this,es,"f")[e.index]=t,t)},rs=function(e){if(this.ended)return;const t=m(this,Yt,"m",ls).call(this,e);this._emit("chunk",e,t);for(const s of e.choices){const e=t.choices[s.index];null!=s.delta.content&&"assistant"===e.message?.role&&e.message?.content&&(this._emit("content",s.delta.content,e.message.content),this._emit("content.delta",{delta:s.delta.content,snapshot:e.message.content,parsed:e.message.parsed})),null!=s.delta.refusal&&"assistant"===e.message?.role&&e.message?.refusal&&this._emit("refusal.delta",{delta:s.delta.refusal,snapshot:e.message.refusal}),null!=s.logprobs?.content&&"assistant"===e.message?.role&&this._emit("logprobs.content.delta",{content:s.logprobs?.content,snapshot:e.logprobs?.content??[]}),null!=s.logprobs?.refusal&&"assistant"===e.message?.role&&this._emit("logprobs.refusal.delta",{refusal:s.logprobs?.refusal,snapshot:e.logprobs?.refusal??[]});const n=m(this,Yt,"m",ns).call(this,e);e.finish_reason&&(m(this,Yt,"m",is).call(this,e),null!=n.current_tool_call_index&&m(this,Yt,"m",os).call(this,e,n.current_tool_call_index));for(const t of s.delta.tool_calls??[])n.current_tool_call_index!==t.index&&(m(this,Yt,"m",is).call(this,e),null!=n.current_tool_call_index&&m(this,Yt,"m",os).call(this,e,n.current_tool_call_index)),n.current_tool_call_index=t.index;for(const t of s.delta.tool_calls??[]){const s=e.message.tool_calls?.[t.index];s?.type&&("function"===s?.type&&this._emit("tool_calls.function.arguments.delta",{name:s.function?.name,index:t.index,arguments:s.function.arguments,parsed_arguments:s.function.parsed_arguments,arguments_delta:t.function?.arguments??""}))}}},os=function(e,t){if(m(this,Yt,"m",ns).call(this,e).done_tool_calls.has(t))return;const s=e.message.tool_calls?.[t];if(!s)throw new Error("no tool call snapshot");if(!s.type)throw new Error("tool call snapshot missing `type`");if("function"===s.type){const e=m(this,Zt,"f")?.tools?.find((e=>st(e)&&e.function.name===s.function.name));this._emit("tool_calls.function.arguments.done",{name:s.function.name,index:t,arguments:s.function.arguments,parsed_arguments:rt(e)?e.$parseRaw(s.function.arguments):e?.function.strict?JSON.parse(s.function.arguments):null})}else s.type},is=function(e){const t=m(this,Yt,"m",ns).call(this,e);if(e.message.content&&!t.content_done){t.content_done=!0;const s=m(this,Yt,"m",cs).call(this);this._emit("content.done",{content:e.message.content,parsed:s?s.$parseRaw(e.message.content):null})}e.message.refusal&&!t.refusal_done&&(t.refusal_done=!0,this._emit("refusal.done",{refusal:e.message.refusal})),e.logprobs?.content&&!t.logprobs_content_done&&(t.logprobs_content_done=!0,this._emit("logprobs.content.done",{content:e.logprobs.content})),e.logprobs?.refusal&&!t.logprobs_refusal_done&&(t.logprobs_refusal_done=!0,this._emit("logprobs.refusal.done",{refusal:e.logprobs.refusal}))},as=function(){if(this.ended)throw new w("stream has ended, this shouldn't happen");const e=m(this,ts,"f");if(!e)throw new w("request ended without sending any chunks");return f(this,ts,void 0),f(this,es,[]),function(e,t){const{id:s,choices:n,created:r,model:o,system_fingerprint:i,...a}=e,c={...a,id:s,choices:n.map((({message:t,finish_reason:s,index:n,logprobs:r,...o})=>{if(!s)throw new w(`missing finish_reason for choice ${n}`);const{content:i=null,function_call:a,tool_calls:c,...l}=t,u=t.role;if(!u)throw new w(`missing role for choice ${n}`);if(a){const{arguments:e,name:c}=a;if(null==e)throw new w(`missing function_call.arguments for choice ${n}`);if(!c)throw new w(`missing function_call.name for choice ${n}`);return{...o,message:{content:i,function_call:{arguments:e,name:c},role:u,refusal:t.refusal??null},finish_reason:s,index:n,logprobs:r}}return c?{...o,index:n,finish_reason:s,logprobs:r,message:{...l,role:u,content:i,refusal:t.refusal??null,tool_calls:c.map(((t,s)=>{const{function:r,type:o,id:i,...a}=t,{arguments:c,name:l,...u}=r||{};if(null==i)throw new w(`missing choices[${n}].tool_calls[${s}].id\n${ds(e)}`);if(null==o)throw new w(`missing choices[${n}].tool_calls[${s}].type\n${ds(e)}`);if(null==l)throw new w(`missing choices[${n}].tool_calls[${s}].function.name\n${ds(e)}`);if(null==c)throw new w(`missing choices[${n}].tool_calls[${s}].function.arguments\n${ds(e)}`);return{...a,id:i,type:o,function:{...u,name:l,arguments:c}}}))}}:{...o,message:{...l,content:i,role:u,refusal:t.refusal??null},finish_reason:s,index:n,logprobs:r}})),created:r,model:o,object:"chat.completion",...i?{system_fingerprint:i}:{}};return function(e,t){return t&&ct(t)?ot(e,t):{...e,choices:e.choices.map((e=>(lt(e.message.tool_calls),{...e,message:{...e.message,parsed:null,...e.message.tool_calls?{tool_calls:e.message.tool_calls}:void 0}})))}}(c,t)}(e,m(this,Zt,"f"))},cs=function(){const e=m(this,Zt,"f")?.response_format;return nt(e)?e:null},ls=function(e){var t,s,n,r;let o=m(this,ts,"f");const{choices:i,...a}=e;o?Object.assign(o,a):o=f(this,ts,{...a,choices:[]});for(const{delta:i,finish_reason:a,index:c,logprobs:l=null,...u}of e.choices){let e=o.choices[c];if(e||(e=o.choices[c]={finish_reason:a,index:c,message:{},logprobs:l,...u}),l)if(e.logprobs){const{content:n,refusal:r,...o}=l;Object.assign(e.logprobs,o),n&&((t=e.logprobs).content??(t.content=[]),e.logprobs.content.push(...n)),r&&((s=e.logprobs).refusal??(s.refusal=[]),e.logprobs.refusal.push(...r))}else e.logprobs=Object.assign({},l);if(a&&(e.finish_reason=a,m(this,Zt,"f")&&ct(m(this,Zt,"f")))){if("length"===a)throw new C;if("content_filter"===a)throw new T}if(Object.assign(e,u),!i)continue;const{content:d,refusal:h,function_call:p,role:f,tool_calls:g,...y}=i;if(Object.assign(e.message,y),h&&(e.message.refusal=(e.message.refusal||"")+h),f&&(e.message.role=f),p&&(e.message.function_call?(p.name&&(e.message.function_call.name=p.name),p.arguments&&((n=e.message.function_call).arguments??(n.arguments=""),e.message.function_call.arguments+=p.arguments)):e.message.function_call=p),d&&(e.message.content=(e.message.content||"")+d,!e.message.refusal&&m(this,Yt,"m",cs).call(this)&&(e.message.parsed=Qt(e.message.content))),g){e.message.tool_calls||(e.message.tool_calls=[]);for(const{index:t,id:s,type:n,function:o,...i}of g){const a=(r=e.message.tool_calls)[t]??(r[t]={});Object.assign(a,i),s&&(a.id=s),n&&(a.type=n),o&&(a.function??(a.function={name:o.name??"",arguments:""})),o?.name&&(a.function.name=o.name),o?.arguments&&(a.function.arguments+=o.arguments,at(m(this,Zt,"f"),a)&&(a.function.parsed_arguments=Qt(a.function.arguments)))}}}return o},Symbol.asyncIterator)](){const e=[],t=[];let s=!1;return this.on("chunk",(s=>{const n=t.shift();n?n.resolve(s):e.push(s)})),this.on("end",(()=>{s=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),this.on("error",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),{next:async()=>{if(!e.length)return s?{value:void 0,done:!0}:new Promise(((e,s)=>t.push({resolve:e,reject:s}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new qe(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function ds(e){return JSON.stringify(e)}class hs extends us{static fromReadableStream(e){const t=new hs(null);return t._run((()=>t._fromReadableStream(e))),t}static runTools(e,t,s){const n=new hs(t),r={...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"runTools"}};return n._run((()=>n._runTools(e,t,r))),n}}let ps=class extends ze{constructor(){super(...arguments),this.messages=new tt(this._client)}create(e,t){return this._client.post("/chat/completions",{body:e,...t,stream:e.stream??!1})}retrieve(e,t){return this._client.get(et`/chat/completions/${e}`,t)}update(e,t,s){return this._client.post(et`/chat/completions/${e}`,{body:t,...s})}list(e={},t){return this._client.getAPIList("/chat/completions",Me,{query:e,...t})}delete(e,t){return this._client.delete(et`/chat/completions/${e}`,t)}parse(e,t){return function(e){for(const t of e??[]){if("function"!==t.type)throw new w(`Currently only \`function\` tool types support auto-parsing; Received \`${t.type}\``);if(!0!==t.function.strict)throw new w(`The \`${t.function.name}\` tool is not marked with \`strict: true\`. Only strict function tools can be auto-parsed`)}}(e.tools),this._client.chat.completions.create(e,{...t,headers:{...t?.headers,"X-Stainless-Helper-Method":"chat.completions.parse"}})._thenUnwrap((t=>ot(t,e)))}runTools(e,t){return e.stream?hs.runTools(this._client,e,t):jt.runTools(this._client,e,t)}stream(e,t){return us.createChatCompletion(this._client,e,t)}};ps.Messages=tt;class fs extends ze{constructor(){super(...arguments),this.completions=new ps(this._client)}}fs.Completions=ps;const ms=Symbol("brand.privateNullableHeaders");function*gs(e){if(!e)return;if(ms in e){const{values:t,nulls:s}=e;yield*t.entries();for(const e of s)yield[e,null];return}let t,s=!1;e instanceof Headers?t=e.entries():j(e)?t=e:(s=!0,t=Object.entries(e??{}));for(let e of t){const t=e[0];if("string"!=typeof t)throw new TypeError("expected header name to be a string");const n=j(e[1])?e[1]:[e[1]];let r=!1;for(const e of n)void 0!==e&&(s&&!r&&(r=!0,yield[t,null]),yield[t,e])}}const ys=e=>{const t=new Headers,s=new Set;for(const n of e){const e=new Set;for(const[r,o]of gs(n)){const n=r.toLowerCase();e.has(n)||(t.delete(r),e.add(n)),null===o?(t.delete(r),s.add(n)):(t.append(r,o),s.delete(n))}}return{[ms]:!0,values:t,nulls:s}};class _s extends ze{create(e,t){return this._client.post("/audio/speech",{body:e,...t,headers:ys([{Accept:"application/octet-stream"},t?.headers]),__binaryResponse:!0})}}class ws extends ze{create(e,t){return this._client.post("/audio/transcriptions",He({body:e,...t,stream:e.stream??!1,__metadata:{model:e.model}},this._client))}}class bs extends ze{create(e,t){return this._client.post("/audio/translations",He({body:e,...t,__metadata:{model:e.model}},this._client))}}class vs extends ze{constructor(){super(...arguments),this.transcriptions=new ws(this._client),this.translations=new bs(this._client),this.speech=new _s(this._client)}}vs.Transcriptions=ws,vs.Translations=bs,vs.Speech=_s;class xs extends ze{create(e,t){return this._client.post("/batches",{body:e,...t})}retrieve(e,t){return this._client.get(et`/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/batches",Me,{query:e,...t})}cancel(e,t){return this._client.post(et`/batches/${e}/cancel`,t)}}class Ss extends ze{create(e,t){return this._client.post("/assistants",{body:e,...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(et`/assistants/${e}`,{...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,s){return this._client.post(et`/assistants/${e}`,{body:t,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e={},t){return this._client.getAPIList("/assistants",Me,{query:e,...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}delete(e,t){return this._client.delete(et`/assistants/${e}`,{...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class As extends ze{create(e,t){return this._client.post("/realtime/sessions",{body:e,...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class Es extends ze{create(e,t){return this._client.post("/realtime/transcription_sessions",{body:e,...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}let Rs=class extends ze{constructor(){super(...arguments),this.sessions=new As(this._client),this.transcriptionSessions=new Es(this._client)}};Rs.Sessions=As,Rs.TranscriptionSessions=Es;class $s extends ze{create(e,t,s){return this._client.post(et`/threads/${e}/messages`,{body:t,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}retrieve(e,t,s){const{thread_id:n}=t;return this._client.get(et`/threads/${n}/messages/${e}`,{...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}update(e,t,s){const{thread_id:n,...r}=t;return this._client.post(et`/threads/${n}/messages/${e}`,{body:r,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t={},s){return this._client.getAPIList(et`/threads/${e}/messages`,Me,{query:t,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}delete(e,t,s){const{thread_id:n}=t;return this._client.delete(et`/threads/${n}/messages/${e}`,{...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}}class Is extends ze{retrieve(e,t,s){const{thread_id:n,run_id:r,...o}=t;return this._client.get(et`/threads/${n}/runs/${r}/steps/${e}`,{query:o,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t,s){const{thread_id:n,...r}=t;return this._client.getAPIList(et`/threads/${n}/runs/${e}/steps`,Me,{query:r,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}}const Os=e=>void 0!==globalThis.process?globalThis.process.env?.[e]?.trim()??void 0:void 0!==globalThis.Deno?globalThis.Deno.env?.get?.(e)?.trim():void 0;var qs,ks,Cs,Ts,Ls,Ps,Ns,js,Ms,Ds,Ws,Bs,Us,Fs,Hs,Xs,Js,Ks,Gs,Vs,zs,Qs,Ys;class Zs extends Tt{constructor(){super(...arguments),qs.add(this),Cs.set(this,[]),Ts.set(this,{}),Ls.set(this,{}),Ps.set(this,void 0),Ns.set(this,void 0),js.set(this,void 0),Ms.set(this,void 0),Ds.set(this,void 0),Ws.set(this,void 0),Bs.set(this,void 0),Us.set(this,void 0),Fs.set(this,void 0)}[(Cs=new WeakMap,Ts=new WeakMap,Ls=new WeakMap,Ps=new WeakMap,Ns=new WeakMap,js=new WeakMap,Ms=new WeakMap,Ds=new WeakMap,Ws=new WeakMap,Bs=new WeakMap,Us=new WeakMap,Fs=new WeakMap,qs=new WeakSet,Symbol.asyncIterator)](){const e=[],t=[];let s=!1;return this.on("event",(s=>{const n=t.shift();n?n.resolve(s):e.push(s)})),this.on("end",(()=>{s=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),this.on("error",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),{next:async()=>{if(!e.length)return s?{value:void 0,done:!0}:new Promise(((e,s)=>t.push({resolve:e,reject:s}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}static fromReadableStream(e){const t=new ks;return t._run((()=>t._fromReadableStream(e))),t}async _fromReadableStream(e,t){const s=t?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),this._connected();const n=qe.fromReadableStream(e,this.controller);for await(const e of n)m(this,qs,"m",Hs).call(this,e);if(n.controller.signal?.aborted)throw new v;return this._addRun(m(this,qs,"m",Xs).call(this))}toReadableStream(){return new qe(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}static createToolAssistantStream(e,t,s,n){const r=new ks;return r._run((()=>r._runToolAssistantStream(e,t,s,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}async _createToolAssistantStream(e,t,s,n){const r=n?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const o={...s,stream:!0},i=await e.submitToolOutputs(t,o,{...n,signal:this.controller.signal});this._connected();for await(const e of i)m(this,qs,"m",Hs).call(this,e);if(i.controller.signal?.aborted)throw new v;return this._addRun(m(this,qs,"m",Xs).call(this))}static createThreadAssistantStream(e,t,s){const n=new ks;return n._run((()=>n._threadAssistantStream(e,t,{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),n}static createAssistantStream(e,t,s,n){const r=new ks;return r._run((()=>r._runAssistantStream(e,t,s,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}currentEvent(){return m(this,Bs,"f")}currentRun(){return m(this,Us,"f")}currentMessageSnapshot(){return m(this,Ps,"f")}currentRunStepSnapshot(){return m(this,Fs,"f")}async finalRunSteps(){return await this.done(),Object.values(m(this,Ts,"f"))}async finalMessages(){return await this.done(),Object.values(m(this,Ls,"f"))}async finalRun(){if(await this.done(),!m(this,Ns,"f"))throw Error("Final run was not received.");return m(this,Ns,"f")}async _createThreadAssistantStream(e,t,s){const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort())));const r={...t,stream:!0},o=await e.createAndRun(r,{...s,signal:this.controller.signal});this._connected();for await(const e of o)m(this,qs,"m",Hs).call(this,e);if(o.controller.signal?.aborted)throw new v;return this._addRun(m(this,qs,"m",Xs).call(this))}async _createAssistantStream(e,t,s,n){const r=n?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const o={...s,stream:!0},i=await e.create(t,o,{...n,signal:this.controller.signal});this._connected();for await(const e of i)m(this,qs,"m",Hs).call(this,e);if(i.controller.signal?.aborted)throw new v;return this._addRun(m(this,qs,"m",Xs).call(this))}static accumulateDelta(e,t){for(const[s,n]of Object.entries(t)){if(!e.hasOwnProperty(s)){e[s]=n;continue}let t=e[s];if(null!=t)if("index"!==s&&"type"!==s){if("string"==typeof t&&"string"==typeof n)t+=n;else if("number"==typeof t&&"number"==typeof n)t+=n;else{if(!D(t)||!D(n)){if(Array.isArray(t)&&Array.isArray(n)){if(t.every((e=>"string"==typeof e||"number"==typeof e))){t.push(...n);continue}for(const e of n){if(!D(e))throw new Error(`Expected array delta entry to be an object but got: ${e}`);const s=e.index;if(null==s)throw console.error(e),new Error("Expected array delta entry to have an `index` property");if("number"!=typeof s)throw new Error(`Expected array delta entry \`index\` property to be a number but got ${s}`);const n=t[s];null==n?t.push(e):t[s]=this.accumulateDelta(n,e)}continue}throw Error(`Unhandled record type: ${s}, deltaValue: ${n}, accValue: ${t}`)}t=this.accumulateDelta(t,n)}e[s]=t}else e[s]=n;else e[s]=n}return e}_addRun(e){return e}async 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this._createToolAssistantStream(t,e,s,n)}}ks=Zs,Hs=function(e){if(!this.ended)switch(f(this,Bs,e),m(this,qs,"m",Gs).call(this,e),e.event){case"thread.created":break;case"thread.run.created":case"thread.run.queued":case"thread.run.in_progress":case"thread.run.requires_action":case"thread.run.completed":case"thread.run.incomplete":case"thread.run.failed":case"thread.run.cancelling":case"thread.run.cancelled":case"thread.run.expired":m(this,qs,"m",Ys).call(this,e);break;case"thread.run.step.created":case"thread.run.step.in_progress":case"thread.run.step.delta":case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":m(this,qs,"m",Ks).call(this,e);break;case"thread.message.created":case"thread.message.in_progress":case"thread.message.delta":case"thread.message.completed":case"thread.message.incomplete":m(this,qs,"m",Js).call(this,e);break;case"error":throw new Error("Encountered an error event in event processing - errors should be processed earlier")}},Xs=function(){if(this.ended)throw new w("stream has ended, this shouldn't happen");if(!m(this,Ns,"f"))throw Error("Final run has not been received");return m(this,Ns,"f")},Js=function(e){const[t,s]=m(this,qs,"m",zs).call(this,e,m(this,Ps,"f"));f(this,Ps,t),m(this,Ls,"f")[t.id]=t;for(const e of s){const s=t.content[e.index];"text"==s?.type&&this._emit("textCreated",s.text)}switch(e.event){case"thread.message.created":this._emit("messageCreated",e.data);break;case"thread.message.in_progress":break;case"thread.message.delta":if(this._emit("messageDelta",e.data.delta,t),e.data.delta.content)for(const s of e.data.delta.content){if("text"==s.type&&s.text){let e=s.text,n=t.content[s.index];if(!n||"text"!=n.type)throw Error("The snapshot associated with this text delta is not text or missing");this._emit("textDelta",e,n.text)}if(s.index!=m(this,js,"f")){if(m(this,Ms,"f"))switch(m(this,Ms,"f").type){case"text":this._emit("textDone",m(this,Ms,"f").text,m(this,Ps,"f"));break;case"image_file":this._emit("imageFileDone",m(this,Ms,"f").image_file,m(this,Ps,"f"))}f(this,js,s.index)}f(this,Ms,t.content[s.index])}break;case"thread.message.completed":case"thread.message.incomplete":if(void 0!==m(this,js,"f")){const t=e.data.content[m(this,js,"f")];if(t)switch(t.type){case"image_file":this._emit("imageFileDone",t.image_file,m(this,Ps,"f"));break;case"text":this._emit("textDone",t.text,m(this,Ps,"f"))}}m(this,Ps,"f")&&this._emit("messageDone",e.data),f(this,Ps,void 0)}},Ks=function(e){const t=m(this,qs,"m",Vs).call(this,e);switch(f(this,Fs,t),e.event){case"thread.run.step.created":this._emit("runStepCreated",e.data);break;case"thread.run.step.delta":const s=e.data.delta;if(s.step_details&&"tool_calls"==s.step_details.type&&s.step_details.tool_calls&&"tool_calls"==t.step_details.type)for(const e of s.step_details.tool_calls)e.index==m(this,Ds,"f")?this._emit("toolCallDelta",e,t.step_details.tool_calls[e.index]):(m(this,Ws,"f")&&this._emit("toolCallDone",m(this,Ws,"f")),f(this,Ds,e.index),f(this,Ws,t.step_details.tool_calls[e.index]),m(this,Ws,"f")&&this._emit("toolCallCreated",m(this,Ws,"f")));this._emit("runStepDelta",e.data.delta,t);break;case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":f(this,Fs,void 0);"tool_calls"==e.data.step_details.type&&m(this,Ws,"f")&&(this._emit("toolCallDone",m(this,Ws,"f")),f(this,Ws,void 0)),this._emit("runStepDone",e.data,t)}},Gs=function(e){m(this,Cs,"f").push(e),this._emit("event",e)},Vs=function(e){switch(e.event){case"thread.run.step.created":return m(this,Ts,"f")[e.data.id]=e.data,e.data;case"thread.run.step.delta":let t=m(this,Ts,"f")[e.data.id];if(!t)throw Error("Received a RunStepDelta before creation of a snapshot");let s=e.data;if(s.delta){const n=ks.accumulateDelta(t,s.delta);m(this,Ts,"f")[e.data.id]=n}return m(this,Ts,"f")[e.data.id];case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":case"thread.run.step.in_progress":m(this,Ts,"f")[e.data.id]=e.data}if(m(this,Ts,"f")[e.data.id])return m(this,Ts,"f")[e.data.id];throw new Error("No snapshot available")},zs=function(e,t){let s=[];switch(e.event){case"thread.message.created":return[e.data,s];case"thread.message.delta":if(!t)throw Error("Received a delta with no existing snapshot (there should be one from message creation)");let n=e.data;if(n.delta.content)for(const e of n.delta.content)if(e.index in t.content){let s=t.content[e.index];t.content[e.index]=m(this,qs,"m",Qs).call(this,e,s)}else t.content[e.index]=e,s.push(e);return[t,s];case"thread.message.in_progress":case"thread.message.completed":case"thread.message.incomplete":if(t)return[t,s];throw Error("Received thread message event with no existing snapshot")}throw Error("Tried to accumulate a non-message event")},Qs=function(e,t){return ks.accumulateDelta(t,e)},Ys=function(e){switch(f(this,Us,e.data),e.event){case"thread.run.created":case"thread.run.queued":case"thread.run.in_progress":break;case"thread.run.requires_action":case"thread.run.cancelled":case"thread.run.failed":case"thread.run.completed":case"thread.run.expired":case"thread.run.incomplete":f(this,Ns,e.data),m(this,Ws,"f")&&(this._emit("toolCallDone",m(this,Ws,"f")),f(this,Ws,void 0))}};let en=class extends ze{constructor(){super(...arguments),this.steps=new Is(this._client)}create(e,t,s){const{include:n,...r}=t;return this._client.post(et`/threads/${e}/runs`,{query:{include:n},body:r,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers]),stream:t.stream??!1})}retrieve(e,t,s){const{thread_id:n}=t;return this._client.get(et`/threads/${n}/runs/${e}`,{...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}update(e,t,s){const{thread_id:n,...r}=t;return this._client.post(et`/threads/${n}/runs/${e}`,{body:r,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t={},s){return this._client.getAPIList(et`/threads/${e}/runs`,Me,{query:t,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}cancel(e,t,s){const{thread_id:n}=t;return this._client.post(et`/threads/${n}/runs/${e}/cancel`,{...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}async createAndPoll(e,t,s){const n=await this.create(e,t,s);return await this.poll(n.id,{thread_id:e},s)}createAndStream(e,t,s){return Zs.createAssistantStream(e,this._client.beta.threads.runs,t,s)}async poll(e,t,s){const n=ys([s?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":s?.pollIntervalMs?.toString()??void 0}]);for(;;){const{data:r,response:o}=await this.retrieve(e,t,{...s,headers:{...s?.headers,...n}}).withResponse();switch(r.status){case"queued":case"in_progress":case"cancelling":let e=5e3;if(s?.pollIntervalMs)e=s.pollIntervalMs;else{const t=o.headers.get("openai-poll-after-ms");if(t){const s=parseInt(t);isNaN(s)||(e=s)}}await W(e);break;case"requires_action":case"incomplete":case"cancelled":case"completed":case"failed":case"expired":return r}}}stream(e,t,s){return Zs.createAssistantStream(e,this._client.beta.threads.runs,t,s)}submitToolOutputs(e,t,s){const{thread_id:n,...r}=t;return this._client.post(et`/threads/${n}/runs/${e}/submit_tool_outputs`,{body:r,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers]),stream:t.stream??!1})}async submitToolOutputsAndPoll(e,t,s){const n=await this.submitToolOutputs(e,t,s);return await this.poll(n.id,t,s)}submitToolOutputsStream(e,t,s){return Zs.createToolAssistantStream(e,this._client.beta.threads.runs,t,s)}};en.Steps=Is;class tn extends ze{constructor(){super(...arguments),this.runs=new en(this._client),this.messages=new $s(this._client)}create(e={},t){return this._client.post("/threads",{body:e,...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(et`/threads/${e}`,{...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,s){return this._client.post(et`/threads/${e}`,{body:t,...s,headers:ys([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}delete(e,t){return this._client.delete(et`/threads/${e}`,{...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}createAndRun(e,t){return this._client.post("/threads/runs",{body:e,...t,headers:ys([{"OpenAI-Beta":"assistants=v2"},t?.headers]),stream:e.stream??!1})}async createAndRunPoll(e,t){const s=await this.createAndRun(e,t);return await this.runs.poll(s.id,{thread_id:s.thread_id},t)}createAndRunStream(e,t){return Zs.createThreadAssistantStream(e,this._client.beta.threads,t)}}tn.Runs=en,tn.Messages=$s;class sn extends ze{constructor(){super(...arguments),this.realtime=new Rs(this._client),this.assistants=new Ss(this._client),this.threads=new tn(this._client)}}sn.Realtime=Rs,sn.Assistants=Ss,sn.Threads=tn;class nn extends ze{create(e,t){return this._client.post("/completions",{body:e,...t,stream:e.stream??!1})}}class rn extends ze{retrieve(e,t,s){const{container_id:n}=t;return this._client.get(et`/containers/${n}/files/${e}/content`,{...s,headers:ys([{Accept:"application/binary"},s?.headers]),__binaryResponse:!0})}}let on=class extends ze{constructor(){super(...arguments),this.content=new rn(this._client)}create(e,t,s){return this._client.post(et`/containers/${e}/files`,He({body:t,...s},this._client))}retrieve(e,t,s){const{container_id:n}=t;return this._client.get(et`/containers/${n}/files/${e}`,s)}list(e,t={},s){return this._client.getAPIList(et`/containers/${e}/files`,Me,{query:t,...s})}delete(e,t,s){const{container_id:n}=t;return this._client.delete(et`/containers/${n}/files/${e}`,{...s,headers:ys([{Accept:"*/*"},s?.headers])})}};on.Content=rn;class an extends ze{constructor(){super(...arguments),this.files=new on(this._client)}create(e,t){return this._client.post("/containers",{body:e,...t})}retrieve(e,t){return this._client.get(et`/containers/${e}`,t)}list(e={},t){return this._client.getAPIList("/containers",Me,{query:e,...t})}delete(e,t){return this._client.delete(et`/containers/${e}`,{...t,headers:ys([{Accept:"*/*"},t?.headers])})}}an.Files=on;class cn extends ze{create(e,t,s){const{include:n,...r}=t;return this._client.post(et`/conversations/${e}/items`,{query:{include:n},body:r,...s})}retrieve(e,t,s){const{conversation_id:n,...r}=t;return this._client.get(et`/conversations/${n}/items/${e}`,{query:r,...s})}list(e,t={},s){return this._client.getAPIList(et`/conversations/${e}/items`,De,{query:t,...s})}delete(e,t,s){const{conversation_id:n}=t;return this._client.delete(et`/conversations/${n}/items/${e}`,s)}}class ln extends ze{constructor(){super(...arguments),this.items=new cn(this._client)}create(e={},t){return this._client.post("/conversations",{body:e,...t})}retrieve(e,t){return this._client.get(et`/conversations/${e}`,t)}update(e,t,s){return this._client.post(et`/conversations/${e}`,{body:t,...s})}delete(e,t){return this._client.delete(et`/conversations/${e}`,t)}}ln.Items=cn;class un extends ze{create(e,t){const s=!!e.encoding_format;let n=s?e.encoding_format:"base64";s&&Ee(this._client).debug("embeddings/user defined encoding_format:",e.encoding_format);const r=this._client.post("/embeddings",{body:{...e,encoding_format:n},...t});return s?r:(Ee(this._client).debug("embeddings/decoding base64 embeddings from base64"),r._thenUnwrap((e=>(e&&e.data&&e.data.forEach((e=>{const 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this._client.get(et`/fine_tuning/checkpoints/${e}/permissions`,{query:t,...s})}delete(e,t,s){const{fine_tuned_model_checkpoint:n}=t;return this._client.delete(et`/fine_tuning/checkpoints/${n}/permissions/${e}`,s)}}let wn=class extends ze{constructor(){super(...arguments),this.permissions=new _n(this._client)}};wn.Permissions=_n;class bn extends ze{list(e,t={},s){return this._client.getAPIList(et`/fine_tuning/jobs/${e}/checkpoints`,Me,{query:t,...s})}}class vn extends ze{constructor(){super(...arguments),this.checkpoints=new bn(this._client)}create(e,t){return this._client.post("/fine_tuning/jobs",{body:e,...t})}retrieve(e,t){return this._client.get(et`/fine_tuning/jobs/${e}`,t)}list(e={},t){return this._client.getAPIList("/fine_tuning/jobs",Me,{query:e,...t})}cancel(e,t){return this._client.post(et`/fine_tuning/jobs/${e}/cancel`,t)}listEvents(e,t={},s){return this._client.getAPIList(et`/fine_tuning/jobs/${e}/events`,Me,{query:t,...s})}pause(e,t){return 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(this.v = v, this) : new __await(v);\r\n}\r\n\r\nexport function __asyncGenerator(thisArg, _arguments, generator) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var g = generator.apply(thisArg, _arguments || []), i, q = [];\r\n return i = Object.create((typeof AsyncIterator === \"function\" ? AsyncIterator : Object).prototype), verb(\"next\"), verb(\"throw\"), verb(\"return\", awaitReturn), i[Symbol.asyncIterator] = function () { return this; }, i;\r\n function awaitReturn(f) { return function (v) { return Promise.resolve(v).then(f, reject); }; }\r\n function verb(n, f) { if (g[n]) { i[n] = function (v) { return new Promise(function (a, b) { q.push([n, v, a, b]) > 1 || resume(n, v); }); }; if (f) i[n] = f(i[n]); } }\r\n function resume(n, v) { try { step(g[n](v)); } catch (e) { settle(q[0][3], e); } }\r\n function step(r) { r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r); }\r\n function fulfill(value) { resume(\"next\", value); }\r\n function reject(value) { resume(\"throw\", value); }\r\n function settle(f, v) { if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]); }\r\n}\r\n\r\nexport function __asyncDelegator(o) {\r\n var i, p;\r\n return i = {}, verb(\"next\"), verb(\"throw\", function (e) { throw e; }), verb(\"return\"), i[Symbol.iterator] = function () { return this; }, i;\r\n function verb(n, f) { i[n] = o[n] ? function (v) { return (p = !p) ? { value: __await(o[n](v)), done: false } : f ? f(v) : v; } : f; }\r\n}\r\n\r\nexport function __asyncValues(o) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var m = o[Symbol.asyncIterator], i;\r\n return m ? m.call(o) : (o = typeof __values === \"function\" ? __values(o) : o[Symbol.iterator](), i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i);\r\n function verb(n) { i[n] = o[n] && function (v) { return new Promise(function (resolve, reject) { v = o[n](v), settle(resolve, reject, v.done, v.value); }); }; }\r\n function settle(resolve, reject, d, v) { Promise.resolve(v).then(function(v) { resolve({ value: v, done: d }); }, reject); }\r\n}\r\n\r\nexport function __makeTemplateObject(cooked, raw) {\r\n if (Object.defineProperty) { Object.defineProperty(cooked, \"raw\", { value: raw }); } else { cooked.raw = raw; }\r\n return cooked;\r\n};\r\n\r\nvar __setModuleDefault = Object.create ? (function(o, v) {\r\n Object.defineProperty(o, \"default\", { enumerable: true, value: v });\r\n}) : function(o, v) {\r\n o[\"default\"] = v;\r\n};\r\n\r\nvar ownKeys = function(o) {\r\n ownKeys = Object.getOwnPropertyNames || function (o) {\r\n var ar = [];\r\n for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;\r\n return ar;\r\n };\r\n return ownKeys(o);\r\n};\r\n\r\nexport function __importStar(mod) {\r\n if (mod && mod.__esModule) return mod;\r\n var result = {};\r\n if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== \"default\") __createBinding(result, mod, k[i]);\r\n __setModuleDefault(result, mod);\r\n return result;\r\n}\r\n\r\nexport function __importDefault(mod) {\r\n return (mod && mod.__esModule) ? mod : { default: mod };\r\n}\r\n\r\nexport function __classPrivateFieldGet(receiver, state, kind, f) {\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\r\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\r\n}\r\n\r\nexport function __classPrivateFieldSet(receiver, state, value, kind, f) {\r\n if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\r\n return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\r\n}\r\n\r\nexport function __classPrivateFieldIn(state, receiver) {\r\n if (receiver === null || (typeof receiver !== \"object\" && typeof receiver !== \"function\")) throw new TypeError(\"Cannot use 'in' operator on non-object\");\r\n return typeof state === \"function\" ? receiver === state : state.has(receiver);\r\n}\r\n\r\nexport function __addDisposableResource(env, value, async) {\r\n if (value !== null && value !== void 0) {\r\n if (typeof value !== \"object\" && typeof value !== \"function\") throw new TypeError(\"Object expected.\");\r\n var dispose, inner;\r\n if (async) {\r\n if (!Symbol.asyncDispose) throw new TypeError(\"Symbol.asyncDispose is not defined.\");\r\n dispose = value[Symbol.asyncDispose];\r\n }\r\n if (dispose === void 0) {\r\n if (!Symbol.dispose) throw new TypeError(\"Symbol.dispose is not defined.\");\r\n dispose = value[Symbol.dispose];\r\n if (async) inner = dispose;\r\n }\r\n if (typeof dispose !== \"function\") throw new TypeError(\"Object not disposable.\");\r\n if (inner) dispose = function() { try { inner.call(this); } catch (e) { return Promise.reject(e); } };\r\n env.stack.push({ value: value, dispose: dispose, async: async });\r\n }\r\n else if (async) {\r\n env.stack.push({ async: true });\r\n }\r\n return value;\r\n\r\n}\r\n\r\nvar _SuppressedError = typeof SuppressedError === \"function\" ? SuppressedError : function (error, suppressed, message) {\r\n var e = new Error(message);\r\n return e.name = \"SuppressedError\", e.error = error, e.suppressed = suppressed, e;\r\n};\r\n\r\nexport function __disposeResources(env) {\r\n function fail(e) {\r\n env.error = env.hasError ? new _SuppressedError(e, env.error, \"An error was suppressed during disposal.\") : e;\r\n env.hasError = true;\r\n }\r\n var r, s = 0;\r\n function next() {\r\n while (r = env.stack.pop()) {\r\n try {\r\n if (!r.async && s === 1) return s = 0, env.stack.push(r), Promise.resolve().then(next);\r\n if (r.dispose) {\r\n var result = r.dispose.call(r.value);\r\n if (r.async) return s |= 2, Promise.resolve(result).then(next, function(e) { fail(e); return next(); });\r\n }\r\n else s |= 1;\r\n }\r\n catch (e) {\r\n fail(e);\r\n }\r\n }\r\n if (s === 1) return env.hasError ? Promise.reject(env.error) : Promise.resolve();\r\n if (env.hasError) throw env.error;\r\n }\r\n return next();\r\n}\r\n\r\nexport function __rewriteRelativeImportExtension(path, preserveJsx) {\r\n if (typeof path === \"string\" && /^\\.\\.?\\//.test(path)) {\r\n return path.replace(/\\.(tsx)$|((?:\\.d)?)((?:\\.[^./]+?)?)\\.([cm]?)ts$/i, function (m, tsx, d, ext, cm) {\r\n return tsx ? preserveJsx ? \".jsx\" : \".js\" : d && (!ext || !cm) ? m : (d + ext + \".\" + cm.toLowerCase() + \"js\");\r\n });\r\n }\r\n return path;\r\n}\r\n\r\nexport default {\r\n __extends: __extends,\r\n __assign: __assign,\r\n __rest: __rest,\r\n __decorate: __decorate,\r\n __param: __param,\r\n __esDecorate: __esDecorate,\r\n __runInitializers: __runInitializers,\r\n __propKey: __propKey,\r\n __setFunctionName: __setFunctionName,\r\n __metadata: __metadata,\r\n __awaiter: __awaiter,\r\n __generator: __generator,\r\n __createBinding: __createBinding,\r\n __exportStar: __exportStar,\r\n __values: __values,\r\n __read: __read,\r\n __spread: __spread,\r\n __spreadArrays: __spreadArrays,\r\n __spreadArray: __spreadArray,\r\n __await: __await,\r\n __asyncGenerator: __asyncGenerator,\r\n __asyncDelegator: __asyncDelegator,\r\n __asyncValues: __asyncValues,\r\n __makeTemplateObject: __makeTemplateObject,\r\n __importStar: __importStar,\r\n __importDefault: __importDefault,\r\n __classPrivateFieldGet: __classPrivateFieldGet,\r\n __classPrivateFieldSet: __classPrivateFieldSet,\r\n __classPrivateFieldIn: __classPrivateFieldIn,\r\n __addDisposableResource: __addDisposableResource,\r\n __disposeResources: __disposeResources,\r\n __rewriteRelativeImportExtension: __rewriteRelativeImportExtension,\r\n};\r\n",null,null,null,null,null,null,"function __classPrivateFieldSet(receiver, state, value, kind, f) {\n if (kind === \"m\")\n throw new TypeError(\"Private method is not writable\");\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a setter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\n return kind === \"a\" ? f.call(receiver, value) : f ? (f.value = value) : state.set(receiver, value), value;\n}\nfunction __classPrivateFieldGet(receiver, state, kind, f) {\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a getter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\n}\nexport { __classPrivateFieldSet, __classPrivateFieldGet };\n","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * https://stackoverflow.com/a/2117523\n */\nexport let uuid4 = function () {\n const { crypto } = globalThis;\n if (crypto?.randomUUID) {\n uuid4 = crypto.randomUUID.bind(crypto);\n return crypto.randomUUID();\n }\n const u8 = new Uint8Array(1);\n const randomByte = crypto ? () => crypto.getRandomValues(u8)[0] : () => (Math.random() * 0xff) & 0xff;\n return '10000000-1000-4000-8000-100000000000'.replace(/[018]/g, (c) => (+c ^ (randomByte() & (15 >> (+c / 4)))).toString(16));\n};\n//# sourceMappingURL=uuid.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function isAbortError(err) {\n return (typeof err === 'object' &&\n err !== null &&\n // Spec-compliant fetch implementations\n (('name' in err && err.name === 'AbortError') ||\n // Expo fetch\n ('message' in err && String(err.message).includes('FetchRequestCanceledException'))));\n}\nexport const castToError = (err) => {\n if (err instanceof Error)\n return err;\n if (typeof err === 'object' && err !== null) {\n try {\n if (Object.prototype.toString.call(err) === '[object Error]') {\n // @ts-ignore - not all envs have native support for cause yet\n const error = new Error(err.message, err.cause ? { cause: err.cause } : {});\n if (err.stack)\n error.stack = err.stack;\n // @ts-ignore - not all envs have native support for cause yet\n if (err.cause && !error.cause)\n error.cause = err.cause;\n if (err.name)\n error.name = err.name;\n return error;\n }\n }\n catch { }\n try {\n return new Error(JSON.stringify(err));\n }\n catch { }\n }\n return new Error(err);\n};\n//# sourceMappingURL=errors.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { castToError } from \"../internal/errors.mjs\";\nexport class OpenAIError extends Error {\n}\nexport class APIError extends OpenAIError {\n constructor(status, error, message, headers) {\n super(`${APIError.makeMessage(status, error, message)}`);\n this.status = status;\n this.headers = headers;\n this.requestID = headers?.get('x-request-id');\n this.error = error;\n const data = error;\n this.code = data?.['code'];\n this.param = data?.['param'];\n this.type = data?.['type'];\n }\n static makeMessage(status, error, message) {\n const msg = error?.message ?\n typeof error.message === 'string' ?\n error.message\n : JSON.stringify(error.message)\n : error ? JSON.stringify(error)\n : message;\n if (status && msg) {\n return `${status} ${msg}`;\n }\n if (status) {\n return `${status} status code (no body)`;\n }\n if (msg) {\n return msg;\n }\n return '(no status code or body)';\n }\n static generate(status, errorResponse, message, headers) {\n if (!status || !headers) {\n return new APIConnectionError({ message, cause: castToError(errorResponse) });\n }\n const error = errorResponse?.['error'];\n if (status === 400) {\n return new BadRequestError(status, error, message, headers);\n }\n if (status === 401) {\n return new AuthenticationError(status, error, message, headers);\n }\n if (status === 403) {\n return new PermissionDeniedError(status, error, message, headers);\n }\n if (status === 404) {\n return new NotFoundError(status, error, message, headers);\n }\n if (status === 409) {\n return new ConflictError(status, error, message, headers);\n }\n if (status === 422) {\n return new UnprocessableEntityError(status, error, message, headers);\n }\n if (status === 429) {\n return new RateLimitError(status, error, message, headers);\n }\n if (status >= 500) {\n return new InternalServerError(status, error, message, headers);\n }\n return new APIError(status, error, message, headers);\n }\n}\nexport class APIUserAbortError extends APIError {\n constructor({ message } = {}) {\n super(undefined, undefined, message || 'Request was aborted.', undefined);\n }\n}\nexport class APIConnectionError extends APIError {\n constructor({ message, cause }) {\n super(undefined, undefined, message || 'Connection error.', undefined);\n // in some environments the 'cause' property is already declared\n // @ts-ignore\n if (cause)\n this.cause = cause;\n }\n}\nexport class APIConnectionTimeoutError extends APIConnectionError {\n constructor({ message } = {}) {\n super({ message: message ?? 'Request timed out.' });\n }\n}\nexport class BadRequestError extends APIError {\n}\nexport class AuthenticationError extends APIError {\n}\nexport class PermissionDeniedError extends APIError {\n}\nexport class NotFoundError extends APIError {\n}\nexport class ConflictError extends APIError {\n}\nexport class UnprocessableEntityError extends APIError {\n}\nexport class RateLimitError extends APIError {\n}\nexport class InternalServerError extends APIError {\n}\nexport class LengthFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the length limit was reached`);\n }\n}\nexport class ContentFilterFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the request was rejected by the content filter`);\n }\n}\nexport class InvalidWebhookSignatureError extends Error {\n constructor(message) {\n super(message);\n }\n}\n//# sourceMappingURL=error.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\n// https://url.spec.whatwg.org/#url-scheme-string\nconst startsWithSchemeRegexp = /^[a-z][a-z0-9+.-]*:/i;\nexport const isAbsoluteURL = (url) => {\n return startsWithSchemeRegexp.test(url);\n};\nexport let isArray = (val) => ((isArray = Array.isArray), isArray(val));\nexport let isReadonlyArray = isArray;\n/** Returns an object if the given value isn't an object, otherwise returns as-is */\nexport function maybeObj(x) {\n if (typeof x !== 'object') {\n return {};\n }\n return x ?? {};\n}\n// https://stackoverflow.com/a/34491287\nexport function isEmptyObj(obj) {\n if (!obj)\n return true;\n for (const _k in obj)\n return false;\n return true;\n}\n// https://eslint.org/docs/latest/rules/no-prototype-builtins\nexport function hasOwn(obj, key) {\n return Object.prototype.hasOwnProperty.call(obj, key);\n}\nexport function isObj(obj) {\n return obj != null && typeof obj === 'object' && !Array.isArray(obj);\n}\nexport const ensurePresent = (value) => {\n if (value == null) {\n throw new OpenAIError(`Expected a value to be given but received ${value} instead.`);\n }\n return value;\n};\nexport const validatePositiveInteger = (name, n) => {\n if (typeof n !== 'number' || !Number.isInteger(n)) {\n throw new OpenAIError(`${name} must be an integer`);\n }\n if (n < 0) {\n throw new OpenAIError(`${name} must be a positive integer`);\n }\n return n;\n};\nexport const coerceInteger = (value) => {\n if (typeof value === 'number')\n return Math.round(value);\n if (typeof value === 'string')\n return parseInt(value, 10);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceFloat = (value) => {\n if (typeof value === 'number')\n return value;\n if (typeof value === 'string')\n return parseFloat(value);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceBoolean = (value) => {\n if (typeof value === 'boolean')\n return value;\n if (typeof value === 'string')\n return value === 'true';\n return Boolean(value);\n};\nexport const maybeCoerceInteger = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceInteger(value);\n};\nexport const maybeCoerceFloat = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceFloat(value);\n};\nexport const maybeCoerceBoolean = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceBoolean(value);\n};\nexport const safeJSON = (text) => {\n try {\n return JSON.parse(text);\n }\n catch (err) {\n return undefined;\n }\n};\n//# sourceMappingURL=values.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));\n//# sourceMappingURL=sleep.mjs.map","export const VERSION = '5.23.2'; // x-release-please-version\n//# sourceMappingURL=version.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { VERSION } from \"../version.mjs\";\nexport const isRunningInBrowser = () => {\n return (\n // @ts-ignore\n typeof window !== 'undefined' &&\n // @ts-ignore\n typeof window.document !== 'undefined' &&\n // @ts-ignore\n typeof navigator !== 'undefined');\n};\n/**\n * Note this does not detect 'browser'; for that, use getBrowserInfo().\n */\nfunction getDetectedPlatform() {\n if (typeof Deno !== 'undefined' && Deno.build != null) {\n return 'deno';\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return 'edge';\n }\n if (Object.prototype.toString.call(typeof globalThis.process !== 'undefined' ? globalThis.process : 0) === '[object process]') {\n return 'node';\n }\n return 'unknown';\n}\nconst getPlatformProperties = () => {\n const detectedPlatform = getDetectedPlatform();\n if (detectedPlatform === 'deno') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(Deno.build.os),\n 'X-Stainless-Arch': normalizeArch(Deno.build.arch),\n 'X-Stainless-Runtime': 'deno',\n 'X-Stainless-Runtime-Version': typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown',\n };\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': `other:${EdgeRuntime}`,\n 'X-Stainless-Runtime': 'edge',\n 'X-Stainless-Runtime-Version': globalThis.process.version,\n };\n }\n // Check if Node.js\n if (detectedPlatform === 'node') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(globalThis.process.platform ?? 'unknown'),\n 'X-Stainless-Arch': normalizeArch(globalThis.process.arch ?? 'unknown'),\n 'X-Stainless-Runtime': 'node',\n 'X-Stainless-Runtime-Version': globalThis.process.version ?? 'unknown',\n };\n }\n const browserInfo = getBrowserInfo();\n if (browserInfo) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': `browser:${browserInfo.browser}`,\n 'X-Stainless-Runtime-Version': browserInfo.version,\n };\n }\n // TODO add support for Cloudflare workers, etc.\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': 'unknown',\n 'X-Stainless-Runtime-Version': 'unknown',\n };\n};\n// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts\nfunction getBrowserInfo() {\n if (typeof navigator === 'undefined' || !navigator) {\n return null;\n }\n // NOTE: The order matters here!\n const browserPatterns = [\n { key: 'edge', pattern: /Edge(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /MSIE(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /Trident(?:.*rv\\:(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'chrome', pattern: /Chrome(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'firefox', pattern: /Firefox(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'safari', pattern: /(?:Version\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?(?:\\W+Mobile\\S*)?\\W+Safari/ },\n ];\n // Find the FIRST matching browser\n for (const { key, pattern } of browserPatterns) {\n const match = pattern.exec(navigator.userAgent);\n if (match) {\n const major = match[1] || 0;\n const minor = match[2] || 0;\n const patch = match[3] || 0;\n return { browser: key, version: `${major}.${minor}.${patch}` };\n }\n }\n return null;\n}\nconst normalizeArch = (arch) => {\n // Node docs:\n // - https://nodejs.org/api/process.html#processarch\n // Deno docs:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n if (arch === 'x32')\n return 'x32';\n if (arch === 'x86_64' || arch === 'x64')\n return 'x64';\n if (arch === 'arm')\n return 'arm';\n if (arch === 'aarch64' || arch === 'arm64')\n return 'arm64';\n if (arch)\n return `other:${arch}`;\n return 'unknown';\n};\nconst normalizePlatform = (platform) => {\n // Node platforms:\n // - https://nodejs.org/api/process.html#processplatform\n // Deno platforms:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n // - https://github.com/denoland/deno/issues/14799\n platform = platform.toLowerCase();\n // NOTE: this iOS check is untested and may not work\n // Node does not work natively on IOS, there is a fork at\n // https://github.com/nodejs-mobile/nodejs-mobile\n // however it is unknown at the time of writing how to detect if it is running\n if (platform.includes('ios'))\n return 'iOS';\n if (platform === 'android')\n return 'Android';\n if (platform === 'darwin')\n return 'MacOS';\n if (platform === 'win32')\n return 'Windows';\n if (platform === 'freebsd')\n return 'FreeBSD';\n if (platform === 'openbsd')\n return 'OpenBSD';\n if (platform === 'linux')\n return 'Linux';\n if (platform)\n return `Other:${platform}`;\n return 'Unknown';\n};\nlet _platformHeaders;\nexport const getPlatformHeaders = () => {\n return (_platformHeaders ?? (_platformHeaders = getPlatformProperties()));\n};\n//# sourceMappingURL=detect-platform.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function getDefaultFetch() {\n if (typeof fetch !== 'undefined') {\n return fetch;\n }\n throw new Error('`fetch` is not defined as a global; Either pass `fetch` to the client, `new OpenAI({ fetch })` or polyfill the global, `globalThis.fetch = fetch`');\n}\nexport function makeReadableStream(...args) {\n const ReadableStream = globalThis.ReadableStream;\n if (typeof ReadableStream === 'undefined') {\n // Note: All of the platforms / runtimes we officially support already define\n // `ReadableStream` as a global, so this should only ever be hit on unsupported runtimes.\n throw new Error('`ReadableStream` is not defined as a global; You will need to polyfill it, `globalThis.ReadableStream = ReadableStream`');\n }\n return new ReadableStream(...args);\n}\nexport function ReadableStreamFrom(iterable) {\n let iter = Symbol.asyncIterator in iterable ? iterable[Symbol.asyncIterator]() : iterable[Symbol.iterator]();\n return makeReadableStream({\n start() { },\n async pull(controller) {\n const { done, value } = await iter.next();\n if (done) {\n controller.close();\n }\n else {\n controller.enqueue(value);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n}\n/**\n * Most browsers don't yet have async iterable support for ReadableStream,\n * and Node has a very different way of reading bytes from its \"ReadableStream\".\n *\n * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490\n */\nexport function ReadableStreamToAsyncIterable(stream) {\n if (stream[Symbol.asyncIterator])\n return stream;\n const reader = stream.getReader();\n return {\n async next() {\n try {\n const result = await reader.read();\n if (result?.done)\n reader.releaseLock(); // release lock when stream becomes closed\n return result;\n }\n catch (e) {\n reader.releaseLock(); // release lock when stream becomes errored\n throw e;\n }\n },\n async return() {\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n return { done: true, value: undefined };\n },\n [Symbol.asyncIterator]() {\n return this;\n },\n };\n}\n/**\n * Cancels a ReadableStream we don't need to consume.\n * See https://undici.nodejs.org/#/?id=garbage-collection\n */\nexport async function CancelReadableStream(stream) {\n if (stream === null || typeof stream !== 'object')\n return;\n if (stream[Symbol.asyncIterator]) {\n await stream[Symbol.asyncIterator]().return?.();\n return;\n }\n const reader = stream.getReader();\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n}\n//# sourceMappingURL=shims.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const FallbackEncoder = ({ headers, body }) => {\n return {\n bodyHeaders: {\n 'content-type': 'application/json',\n },\n body: JSON.stringify(body),\n };\n};\n//# sourceMappingURL=request-options.mjs.map","export const default_format = 'RFC3986';\nexport const default_formatter = (v) => String(v);\nexport const formatters = {\n RFC1738: (v) => String(v).replace(/%20/g, '+'),\n RFC3986: default_formatter,\n};\nexport const RFC1738 = 'RFC1738';\nexport const RFC3986 = 'RFC3986';\n//# sourceMappingURL=formats.mjs.map","import { RFC1738 } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nexport let has = (obj, key) => ((has = Object.hasOwn ?? Function.prototype.call.bind(Object.prototype.hasOwnProperty)),\n has(obj, key));\nconst hex_table = /* @__PURE__ */ (() => {\n const array = [];\n for (let i = 0; i < 256; ++i) {\n array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase());\n }\n return array;\n})();\nfunction compact_queue(queue) {\n while (queue.length > 1) {\n const item = queue.pop();\n if (!item)\n continue;\n const obj = item.obj[item.prop];\n if (isArray(obj)) {\n const compacted = [];\n for (let j = 0; j < obj.length; ++j) {\n if (typeof obj[j] !== 'undefined') {\n compacted.push(obj[j]);\n }\n }\n // @ts-ignore\n item.obj[item.prop] = compacted;\n }\n }\n}\nfunction array_to_object(source, options) {\n const obj = options && options.plainObjects ? Object.create(null) : {};\n for (let i = 0; i < source.length; ++i) {\n if (typeof source[i] !== 'undefined') {\n obj[i] = source[i];\n }\n }\n return obj;\n}\nexport function merge(target, source, options = {}) {\n if (!source) {\n return target;\n }\n if (typeof source !== 'object') {\n if (isArray(target)) {\n target.push(source);\n }\n else if (target && typeof target === 'object') {\n if ((options && (options.plainObjects || options.allowPrototypes)) || !has(Object.prototype, source)) {\n target[source] = true;\n }\n }\n else {\n return [target, source];\n }\n return target;\n }\n if (!target || typeof target !== 'object') {\n return [target].concat(source);\n }\n let mergeTarget = target;\n if (isArray(target) && !isArray(source)) {\n // @ts-ignore\n mergeTarget = array_to_object(target, options);\n }\n if (isArray(target) && isArray(source)) {\n source.forEach(function (item, i) {\n if (has(target, i)) {\n const targetItem = target[i];\n if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') {\n target[i] = merge(targetItem, item, options);\n }\n else {\n target.push(item);\n }\n }\n else {\n target[i] = item;\n }\n });\n return target;\n }\n return Object.keys(source).reduce(function (acc, key) {\n const value = source[key];\n if (has(acc, key)) {\n acc[key] = merge(acc[key], value, options);\n }\n else {\n acc[key] = value;\n }\n return acc;\n }, mergeTarget);\n}\nexport function assign_single_source(target, source) {\n return Object.keys(source).reduce(function (acc, key) {\n acc[key] = source[key];\n return acc;\n }, target);\n}\nexport function decode(str, _, charset) {\n const strWithoutPlus = str.replace(/\\+/g, ' ');\n if (charset === 'iso-8859-1') {\n // unescape never throws, no try...catch needed:\n return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape);\n }\n // utf-8\n try {\n return decodeURIComponent(strWithoutPlus);\n }\n catch (e) {\n return strWithoutPlus;\n }\n}\nconst limit = 1024;\nexport const encode = (str, _defaultEncoder, charset, _kind, format) => {\n // This code was originally written by Brian White for the io.js core querystring library.\n // It has been adapted here for stricter adherence to RFC 3986\n if (str.length === 0) {\n return str;\n }\n let string = str;\n if (typeof str === 'symbol') {\n string = Symbol.prototype.toString.call(str);\n }\n else if (typeof str !== 'string') {\n string = String(str);\n }\n if (charset === 'iso-8859-1') {\n return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) {\n return '%26%23' + parseInt($0.slice(2), 16) + '%3B';\n });\n }\n let out = '';\n for (let j = 0; j < string.length; j += limit) {\n const segment = string.length >= limit ? string.slice(j, j + limit) : string;\n const arr = [];\n for (let i = 0; i < segment.length; ++i) {\n let c = segment.charCodeAt(i);\n if (c === 0x2d || // -\n c === 0x2e || // .\n c === 0x5f || // _\n c === 0x7e || // ~\n (c >= 0x30 && c <= 0x39) || // 0-9\n (c >= 0x41 && c <= 0x5a) || // a-z\n (c >= 0x61 && c <= 0x7a) || // A-Z\n (format === RFC1738 && (c === 0x28 || c === 0x29)) // ( )\n ) {\n arr[arr.length] = segment.charAt(i);\n continue;\n }\n if (c < 0x80) {\n arr[arr.length] = hex_table[c];\n continue;\n }\n if (c < 0x800) {\n arr[arr.length] = hex_table[0xc0 | (c >> 6)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n if (c < 0xd800 || c >= 0xe000) {\n arr[arr.length] =\n hex_table[0xe0 | (c >> 12)] + hex_table[0x80 | ((c >> 6) & 0x3f)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n i += 1;\n c = 0x10000 + (((c & 0x3ff) << 10) | (segment.charCodeAt(i) & 0x3ff));\n arr[arr.length] =\n hex_table[0xf0 | (c >> 18)] +\n hex_table[0x80 | ((c >> 12) & 0x3f)] +\n hex_table[0x80 | ((c >> 6) & 0x3f)] +\n hex_table[0x80 | (c & 0x3f)];\n }\n out += arr.join('');\n }\n return out;\n};\nexport function compact(value) {\n const queue = [{ obj: { o: value }, prop: 'o' }];\n const refs = [];\n for (let i = 0; i < queue.length; ++i) {\n const item = queue[i];\n // @ts-ignore\n const obj = item.obj[item.prop];\n const keys = Object.keys(obj);\n for (let j = 0; j < keys.length; ++j) {\n const key = keys[j];\n const val = obj[key];\n if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) {\n queue.push({ obj: obj, prop: key });\n refs.push(val);\n }\n }\n }\n compact_queue(queue);\n return value;\n}\nexport function is_regexp(obj) {\n return Object.prototype.toString.call(obj) === '[object RegExp]';\n}\nexport function is_buffer(obj) {\n if (!obj || typeof obj !== 'object') {\n return false;\n }\n return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj));\n}\nexport function combine(a, b) {\n return [].concat(a, b);\n}\nexport function maybe_map(val, fn) {\n if (isArray(val)) {\n const mapped = [];\n for (let i = 0; i < val.length; i += 1) {\n mapped.push(fn(val[i]));\n }\n return mapped;\n }\n return fn(val);\n}\n//# sourceMappingURL=utils.mjs.map","import { encode, is_buffer, maybe_map, has } from \"./utils.mjs\";\nimport { default_format, default_formatter, formatters } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nconst array_prefix_generators = {\n brackets(prefix) {\n return String(prefix) + '[]';\n },\n comma: 'comma',\n indices(prefix, key) {\n return String(prefix) + '[' + key + ']';\n },\n repeat(prefix) {\n return String(prefix);\n },\n};\nconst push_to_array = function (arr, value_or_array) {\n Array.prototype.push.apply(arr, isArray(value_or_array) ? value_or_array : [value_or_array]);\n};\nlet toISOString;\nconst defaults = {\n addQueryPrefix: false,\n allowDots: false,\n allowEmptyArrays: false,\n arrayFormat: 'indices',\n charset: 'utf-8',\n charsetSentinel: false,\n delimiter: '&',\n encode: true,\n encodeDotInKeys: false,\n encoder: encode,\n encodeValuesOnly: false,\n format: default_format,\n formatter: default_formatter,\n /** @deprecated */\n indices: false,\n serializeDate(date) {\n return (toISOString ?? (toISOString = Function.prototype.call.bind(Date.prototype.toISOString)))(date);\n },\n skipNulls: false,\n strictNullHandling: false,\n};\nfunction is_non_nullish_primitive(v) {\n return (typeof v === 'string' ||\n typeof v === 'number' ||\n typeof v === 'boolean' ||\n typeof v === 'symbol' ||\n typeof v === 'bigint');\n}\nconst sentinel = {};\nfunction inner_stringify(object, prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, sideChannel) {\n let obj = object;\n let tmp_sc = sideChannel;\n let step = 0;\n let find_flag = false;\n while ((tmp_sc = tmp_sc.get(sentinel)) !== void undefined && !find_flag) {\n // Where object last appeared in the ref tree\n const pos = tmp_sc.get(object);\n step += 1;\n if (typeof pos !== 'undefined') {\n if (pos === step) {\n throw new RangeError('Cyclic object value');\n }\n else {\n find_flag = true; // Break while\n }\n }\n if (typeof tmp_sc.get(sentinel) === 'undefined') {\n step = 0;\n }\n }\n if (typeof filter === 'function') {\n obj = filter(prefix, obj);\n }\n else if (obj instanceof Date) {\n obj = serializeDate?.(obj);\n }\n else if (generateArrayPrefix === 'comma' && isArray(obj)) {\n obj = maybe_map(obj, function (value) {\n if (value instanceof Date) {\n return serializeDate?.(value);\n }\n return value;\n });\n }\n if (obj === null) {\n if (strictNullHandling) {\n return encoder && !encodeValuesOnly ?\n // @ts-expect-error\n encoder(prefix, defaults.encoder, charset, 'key', format)\n : prefix;\n }\n obj = '';\n }\n if (is_non_nullish_primitive(obj) || is_buffer(obj)) {\n if (encoder) {\n const key_value = encodeValuesOnly ? prefix\n // @ts-expect-error\n : encoder(prefix, defaults.encoder, charset, 'key', format);\n return [\n formatter?.(key_value) +\n '=' +\n // @ts-expect-error\n formatter?.(encoder(obj, defaults.encoder, charset, 'value', format)),\n ];\n }\n return [formatter?.(prefix) + '=' + formatter?.(String(obj))];\n }\n const values = [];\n if (typeof obj === 'undefined') {\n return values;\n }\n let obj_keys;\n if (generateArrayPrefix === 'comma' && isArray(obj)) {\n // we need to join elements in\n if (encodeValuesOnly && encoder) {\n // @ts-expect-error values only\n obj = maybe_map(obj, encoder);\n }\n obj_keys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }];\n }\n else if (isArray(filter)) {\n obj_keys = filter;\n }\n else {\n const keys = Object.keys(obj);\n obj_keys = sort ? keys.sort(sort) : keys;\n }\n const encoded_prefix = encodeDotInKeys ? String(prefix).replace(/\\./g, '%2E') : String(prefix);\n const adjusted_prefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? encoded_prefix + '[]' : encoded_prefix;\n if (allowEmptyArrays && isArray(obj) && obj.length === 0) {\n return adjusted_prefix + '[]';\n }\n for (let j = 0; j < obj_keys.length; ++j) {\n const key = obj_keys[j];\n const value = \n // @ts-ignore\n typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key];\n if (skipNulls && value === null) {\n continue;\n }\n // @ts-ignore\n const encoded_key = allowDots && encodeDotInKeys ? key.replace(/\\./g, '%2E') : key;\n const key_prefix = isArray(obj) ?\n typeof generateArrayPrefix === 'function' ?\n generateArrayPrefix(adjusted_prefix, encoded_key)\n : adjusted_prefix\n : adjusted_prefix + (allowDots ? '.' + encoded_key : '[' + encoded_key + ']');\n sideChannel.set(object, step);\n const valueSideChannel = new WeakMap();\n valueSideChannel.set(sentinel, sideChannel);\n push_to_array(values, inner_stringify(value, key_prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, \n // @ts-ignore\n generateArrayPrefix === 'comma' && encodeValuesOnly && isArray(obj) ? null : encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, valueSideChannel));\n }\n return values;\n}\nfunction normalize_stringify_options(opts = defaults) {\n if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n }\n if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') {\n throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided');\n }\n if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') {\n throw new TypeError('Encoder has to be a function.');\n }\n const charset = opts.charset || defaults.charset;\n if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n }\n let format = default_format;\n if (typeof opts.format !== 'undefined') {\n if (!has(formatters, opts.format)) {\n throw new TypeError('Unknown format option provided.');\n }\n format = opts.format;\n }\n const formatter = formatters[format];\n let filter = defaults.filter;\n if (typeof opts.filter === 'function' || isArray(opts.filter)) {\n filter = opts.filter;\n }\n let arrayFormat;\n if (opts.arrayFormat && opts.arrayFormat in array_prefix_generators) {\n arrayFormat = opts.arrayFormat;\n }\n else if ('indices' in opts) {\n arrayFormat = opts.indices ? 'indices' : 'repeat';\n }\n else {\n arrayFormat = defaults.arrayFormat;\n }\n if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') {\n throw new TypeError('`commaRoundTrip` must be a boolean, or absent');\n }\n const allowDots = typeof opts.allowDots === 'undefined' ?\n !!opts.encodeDotInKeys === true ?\n true\n : defaults.allowDots\n : !!opts.allowDots;\n return {\n addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix,\n // @ts-ignore\n allowDots: allowDots,\n allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n arrayFormat: arrayFormat,\n charset: charset,\n charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n commaRoundTrip: !!opts.commaRoundTrip,\n delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter,\n encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode,\n encodeDotInKeys: typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys,\n encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder,\n encodeValuesOnly: typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly,\n filter: filter,\n format: format,\n formatter: formatter,\n serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate,\n skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls,\n // @ts-ignore\n sort: typeof opts.sort === 'function' ? opts.sort : null,\n strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling,\n };\n}\nexport function stringify(object, opts = {}) {\n let obj = object;\n const options = normalize_stringify_options(opts);\n let obj_keys;\n let filter;\n if (typeof options.filter === 'function') {\n filter = options.filter;\n obj = filter('', obj);\n }\n else if (isArray(options.filter)) {\n filter = options.filter;\n obj_keys = filter;\n }\n const keys = [];\n if (typeof obj !== 'object' || obj === null) {\n return '';\n }\n const generateArrayPrefix = array_prefix_generators[options.arrayFormat];\n const commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip;\n if (!obj_keys) {\n obj_keys = Object.keys(obj);\n }\n if (options.sort) {\n obj_keys.sort(options.sort);\n }\n const sideChannel = new WeakMap();\n for (let i = 0; i < obj_keys.length; ++i) {\n const key = obj_keys[i];\n if (options.skipNulls && obj[key] === null) {\n continue;\n }\n push_to_array(keys, inner_stringify(obj[key], key, \n // @ts-expect-error\n generateArrayPrefix, commaRoundTrip, options.allowEmptyArrays, options.strictNullHandling, options.skipNulls, options.encodeDotInKeys, options.encode ? options.encoder : null, options.filter, options.sort, options.allowDots, options.serializeDate, options.format, options.formatter, options.encodeValuesOnly, options.charset, sideChannel));\n }\n const joined = keys.join(options.delimiter);\n let prefix = options.addQueryPrefix === true ? '?' : '';\n if (options.charsetSentinel) {\n if (options.charset === 'iso-8859-1') {\n // encodeURIComponent('✓'), the \"numeric entity\" representation of a checkmark\n prefix += 'utf8=%26%2310003%3B&';\n }\n else {\n // encodeURIComponent('✓')\n prefix += 'utf8=%E2%9C%93&';\n }\n }\n return joined.length > 0 ? prefix + joined : '';\n}\n//# sourceMappingURL=stringify.mjs.map","export function concatBytes(buffers) {\n let length = 0;\n for (const buffer of buffers) {\n length += buffer.length;\n }\n const output = new Uint8Array(length);\n let index = 0;\n for (const buffer of buffers) {\n output.set(buffer, index);\n index += buffer.length;\n }\n return output;\n}\nlet encodeUTF8_;\nexport function encodeUTF8(str) {\n let encoder;\n return (encodeUTF8_ ??\n ((encoder = new globalThis.TextEncoder()), (encodeUTF8_ = encoder.encode.bind(encoder))))(str);\n}\nlet decodeUTF8_;\nexport function decodeUTF8(bytes) {\n let decoder;\n return (decodeUTF8_ ??\n ((decoder = new globalThis.TextDecoder()), (decodeUTF8_ = decoder.decode.bind(decoder))))(bytes);\n}\n//# sourceMappingURL=bytes.mjs.map","var _LineDecoder_buffer, _LineDecoder_carriageReturnIndex;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../tslib.mjs\";\nimport { concatBytes, decodeUTF8, encodeUTF8 } from \"../utils/bytes.mjs\";\n/**\n * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally\n * reading lines from text.\n *\n * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258\n */\nexport class LineDecoder {\n constructor() {\n _LineDecoder_buffer.set(this, void 0);\n _LineDecoder_carriageReturnIndex.set(this, void 0);\n __classPrivateFieldSet(this, _LineDecoder_buffer, new Uint8Array(), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n decode(chunk) {\n if (chunk == null) {\n return [];\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n __classPrivateFieldSet(this, _LineDecoder_buffer, concatBytes([__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), binaryChunk]), \"f\");\n const lines = [];\n let patternIndex;\n while ((patternIndex = findNewlineIndex(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\"))) != null) {\n if (patternIndex.carriage && __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") == null) {\n // skip until we either get a corresponding `\\n`, a new `\\r` or nothing\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, patternIndex.index, \"f\");\n continue;\n }\n // we got double \\r or \\rtext\\n\n if (__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") != null &&\n (patternIndex.index !== __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") + 1 || patternIndex.carriage)) {\n lines.push(decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") - 1)));\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\")), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n continue;\n }\n const endIndex = __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") !== null ? patternIndex.preceding - 1 : patternIndex.preceding;\n const line = decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, endIndex));\n lines.push(line);\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(patternIndex.index), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n return lines;\n }\n flush() {\n if (!__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").length) {\n return [];\n }\n return this.decode('\\n');\n }\n}\n_LineDecoder_buffer = new WeakMap(), _LineDecoder_carriageReturnIndex = new WeakMap();\n// prettier-ignore\nLineDecoder.NEWLINE_CHARS = new Set(['\\n', '\\r']);\nLineDecoder.NEWLINE_REGEXP = /\\r\\n|[\\n\\r]/g;\n/**\n * This function searches the buffer for the end patterns, (\\r or \\n)\n * and returns an object with the index preceding the matched newline and the\n * index after the newline char. `null` is returned if no new line is found.\n *\n * ```ts\n * findNewLineIndex('abc\\ndef') -> { preceding: 2, index: 3 }\n * ```\n */\nfunction findNewlineIndex(buffer, startIndex) {\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = startIndex ?? 0; i < buffer.length; i++) {\n if (buffer[i] === newline) {\n return { preceding: i, index: i + 1, carriage: false };\n }\n if (buffer[i] === carriage) {\n return { preceding: i, index: i + 1, carriage: true };\n }\n }\n return null;\n}\nexport function findDoubleNewlineIndex(buffer) {\n // This function searches the buffer for the end patterns (\\r\\r, \\n\\n, \\r\\n\\r\\n)\n // and returns the index right after the first occurrence of any pattern,\n // or -1 if none of the patterns are found.\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = 0; i < buffer.length - 1; i++) {\n if (buffer[i] === newline && buffer[i + 1] === newline) {\n // \\n\\n\n return i + 2;\n }\n if (buffer[i] === carriage && buffer[i + 1] === carriage) {\n // \\r\\r\n return i + 2;\n }\n if (buffer[i] === carriage &&\n buffer[i + 1] === newline &&\n i + 3 < buffer.length &&\n buffer[i + 2] === carriage &&\n buffer[i + 3] === newline) {\n // \\r\\n\\r\\n\n return i + 4;\n }\n }\n return -1;\n}\n//# sourceMappingURL=line.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { hasOwn } from \"./values.mjs\";\nconst levelNumbers = {\n off: 0,\n error: 200,\n warn: 300,\n info: 400,\n debug: 500,\n};\nexport const parseLogLevel = (maybeLevel, sourceName, client) => {\n if (!maybeLevel) {\n return undefined;\n }\n if (hasOwn(levelNumbers, maybeLevel)) {\n return maybeLevel;\n }\n loggerFor(client).warn(`${sourceName} was set to ${JSON.stringify(maybeLevel)}, expected one of ${JSON.stringify(Object.keys(levelNumbers))}`);\n return undefined;\n};\nfunction noop() { }\nfunction makeLogFn(fnLevel, logger, logLevel) {\n if (!logger || levelNumbers[fnLevel] > levelNumbers[logLevel]) {\n return noop;\n }\n else {\n // Don't wrap logger functions, we want the stacktrace intact!\n return logger[fnLevel].bind(logger);\n }\n}\nconst noopLogger = {\n error: noop,\n warn: noop,\n info: noop,\n debug: noop,\n};\nlet cachedLoggers = /* @__PURE__ */ new WeakMap();\nexport function loggerFor(client) {\n const logger = client.logger;\n const logLevel = client.logLevel ?? 'off';\n if (!logger) {\n return noopLogger;\n }\n const cachedLogger = cachedLoggers.get(logger);\n if (cachedLogger && cachedLogger[0] === logLevel) {\n return cachedLogger[1];\n }\n const levelLogger = {\n error: makeLogFn('error', logger, logLevel),\n warn: makeLogFn('warn', logger, logLevel),\n info: makeLogFn('info', logger, logLevel),\n debug: makeLogFn('debug', logger, logLevel),\n };\n cachedLoggers.set(logger, [logLevel, levelLogger]);\n return levelLogger;\n}\nexport const formatRequestDetails = (details) => {\n if (details.options) {\n details.options = { ...details.options };\n delete details.options['headers']; // redundant + leaks internals\n }\n if (details.headers) {\n details.headers = Object.fromEntries((details.headers instanceof Headers ? [...details.headers] : Object.entries(details.headers)).map(([name, value]) => [\n name,\n (name.toLowerCase() === 'authorization' ||\n name.toLowerCase() === 'cookie' ||\n name.toLowerCase() === 'set-cookie') ?\n '***'\n : value,\n ]));\n }\n if ('retryOfRequestLogID' in details) {\n if (details.retryOfRequestLogID) {\n details.retryOf = details.retryOfRequestLogID;\n }\n delete details.retryOfRequestLogID;\n }\n return details;\n};\n//# sourceMappingURL=log.mjs.map","var _Stream_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { makeReadableStream } from \"../internal/shims.mjs\";\nimport { findDoubleNewlineIndex, LineDecoder } from \"../internal/decoders/line.mjs\";\nimport { ReadableStreamToAsyncIterable } from \"../internal/shims.mjs\";\nimport { isAbortError } from \"../internal/errors.mjs\";\nimport { encodeUTF8 } from \"../internal/utils/bytes.mjs\";\nimport { loggerFor } from \"../internal/utils/log.mjs\";\nimport { APIError } from \"./error.mjs\";\nexport class Stream {\n constructor(iterator, controller, client) {\n this.iterator = iterator;\n _Stream_client.set(this, void 0);\n this.controller = controller;\n __classPrivateFieldSet(this, _Stream_client, client, \"f\");\n }\n static fromSSEResponse(response, controller, client) {\n let consumed = false;\n const logger = client ? loggerFor(client) : console;\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const sse of _iterSSEMessages(response, controller)) {\n if (done)\n continue;\n if (sse.data.startsWith('[DONE]')) {\n done = true;\n continue;\n }\n if (sse.event === null || !sse.event.startsWith('thread.')) {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n logger.error(`Could not parse message into JSON:`, sse.data);\n logger.error(`From chunk:`, sse.raw);\n throw e;\n }\n if (data && data.error) {\n throw new APIError(undefined, data.error, undefined, response.headers);\n }\n yield data;\n }\n else {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n console.error(`Could not parse message into JSON:`, sse.data);\n console.error(`From chunk:`, sse.raw);\n throw e;\n }\n // TODO: Is this where the error should be thrown?\n if (sse.event == 'error') {\n throw new APIError(undefined, data.error, data.message, undefined);\n }\n yield { event: sse.event, data: data };\n }\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n /**\n * Generates a Stream from a newline-separated ReadableStream\n * where each item is a JSON value.\n */\n static fromReadableStream(readableStream, controller, client) {\n let consumed = false;\n async function* iterLines() {\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(readableStream);\n for await (const chunk of iter) {\n for (const line of lineDecoder.decode(chunk)) {\n yield line;\n }\n }\n for (const line of lineDecoder.flush()) {\n yield line;\n }\n }\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const line of iterLines()) {\n if (done)\n continue;\n if (line)\n yield JSON.parse(line);\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n [(_Stream_client = new WeakMap(), Symbol.asyncIterator)]() {\n return this.iterator();\n }\n /**\n * Splits the stream into two streams which can be\n * independently read from at different speeds.\n */\n tee() {\n const left = [];\n const right = [];\n const iterator = this.iterator();\n const teeIterator = (queue) => {\n return {\n next: () => {\n if (queue.length === 0) {\n const result = iterator.next();\n left.push(result);\n right.push(result);\n }\n return queue.shift();\n },\n };\n };\n return [\n new Stream(() => teeIterator(left), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n new Stream(() => teeIterator(right), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n ];\n }\n /**\n * Converts this stream to a newline-separated ReadableStream of\n * JSON stringified values in the stream\n * which can be turned back into a Stream with `Stream.fromReadableStream()`.\n */\n toReadableStream() {\n const self = this;\n let iter;\n return makeReadableStream({\n async start() {\n iter = self[Symbol.asyncIterator]();\n },\n async pull(ctrl) {\n try {\n const { value, done } = await iter.next();\n if (done)\n return ctrl.close();\n const bytes = encodeUTF8(JSON.stringify(value) + '\\n');\n ctrl.enqueue(bytes);\n }\n catch (err) {\n ctrl.error(err);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n }\n}\nexport async function* _iterSSEMessages(response, controller) {\n if (!response.body) {\n controller.abort();\n if (typeof globalThis.navigator !== 'undefined' &&\n globalThis.navigator.product === 'ReactNative') {\n throw new OpenAIError(`The default react-native fetch implementation does not support streaming. Please use expo/fetch: https://docs.expo.dev/versions/latest/sdk/expo/#expofetch-api`);\n }\n throw new OpenAIError(`Attempted to iterate over a response with no body`);\n }\n const sseDecoder = new SSEDecoder();\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(response.body);\n for await (const sseChunk of iterSSEChunks(iter)) {\n for (const line of lineDecoder.decode(sseChunk)) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n }\n for (const line of lineDecoder.flush()) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n}\n/**\n * Given an async iterable iterator, iterates over it and yields full\n * SSE chunks, i.e. yields when a double new-line is encountered.\n */\nasync function* iterSSEChunks(iterator) {\n let data = new Uint8Array();\n for await (const chunk of iterator) {\n if (chunk == null) {\n continue;\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n let newData = new Uint8Array(data.length + binaryChunk.length);\n newData.set(data);\n newData.set(binaryChunk, data.length);\n data = newData;\n let patternIndex;\n while ((patternIndex = findDoubleNewlineIndex(data)) !== -1) {\n yield data.slice(0, patternIndex);\n data = data.slice(patternIndex);\n }\n }\n if (data.length > 0) {\n yield data;\n }\n}\nclass SSEDecoder {\n constructor() {\n this.event = null;\n this.data = [];\n this.chunks = [];\n }\n decode(line) {\n if (line.endsWith('\\r')) {\n line = line.substring(0, line.length - 1);\n }\n if (!line) {\n // empty line and we didn't previously encounter any messages\n if (!this.event && !this.data.length)\n return null;\n const sse = {\n event: this.event,\n data: this.data.join('\\n'),\n raw: this.chunks,\n };\n this.event = null;\n this.data = [];\n this.chunks = [];\n return sse;\n }\n this.chunks.push(line);\n if (line.startsWith(':')) {\n return null;\n }\n let [fieldname, _, value] = partition(line, ':');\n if (value.startsWith(' ')) {\n value = value.substring(1);\n }\n if (fieldname === 'event') {\n this.event = value;\n }\n else if (fieldname === 'data') {\n this.data.push(value);\n }\n return null;\n }\n}\nfunction partition(str, delimiter) {\n const index = str.indexOf(delimiter);\n if (index !== -1) {\n return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)];\n }\n return [str, '', ''];\n}\n//# sourceMappingURL=streaming.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _APIPromise_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { defaultParseResponse, addRequestID, } from \"../internal/parse.mjs\";\n/**\n * A subclass of `Promise` providing additional helper methods\n * for interacting with the SDK.\n */\nexport class APIPromise extends Promise {\n constructor(client, responsePromise, parseResponse = defaultParseResponse) {\n super((resolve) => {\n // this is maybe a bit weird but this has to be a no-op to not implicitly\n // parse the response body; instead .then, .catch, .finally are overridden\n // to parse the response\n resolve(null);\n });\n this.responsePromise = responsePromise;\n this.parseResponse = parseResponse;\n _APIPromise_client.set(this, void 0);\n __classPrivateFieldSet(this, _APIPromise_client, client, \"f\");\n }\n _thenUnwrap(transform) {\n return new APIPromise(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), this.responsePromise, async (client, props) => addRequestID(transform(await this.parseResponse(client, props), props), props.response));\n }\n /**\n * Gets the raw `Response` instance instead of parsing the response\n * data.\n *\n * If you want to parse the response body but still get the `Response`\n * instance, you can use {@link withResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n asResponse() {\n return this.responsePromise.then((p) => p.response);\n }\n /**\n * Gets the parsed response data, the raw `Response` instance and the ID of the request,\n * returned via the X-Request-ID header which is useful for debugging requests and reporting\n * issues to OpenAI.\n *\n * If you just want to get the raw `Response` instance without parsing it,\n * you can use {@link asResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n async withResponse() {\n const [data, response] = await Promise.all([this.parse(), this.asResponse()]);\n return { data, response, request_id: response.headers.get('x-request-id') };\n }\n parse() {\n if (!this.parsedPromise) {\n this.parsedPromise = this.responsePromise.then((data) => this.parseResponse(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), data));\n }\n return this.parsedPromise;\n }\n then(onfulfilled, onrejected) {\n return this.parse().then(onfulfilled, onrejected);\n }\n catch(onrejected) {\n return this.parse().catch(onrejected);\n }\n finally(onfinally) {\n return this.parse().finally(onfinally);\n }\n}\n_APIPromise_client = new WeakMap();\n//# sourceMappingURL=api-promise.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _AbstractPage_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { defaultParseResponse } from \"../internal/parse.mjs\";\nimport { APIPromise } from \"./api-promise.mjs\";\nimport { maybeObj } from \"../internal/utils/values.mjs\";\nexport class AbstractPage {\n constructor(client, response, body, options) {\n _AbstractPage_client.set(this, void 0);\n __classPrivateFieldSet(this, _AbstractPage_client, client, \"f\");\n this.options = options;\n this.response = response;\n this.body = body;\n }\n hasNextPage() {\n const items = this.getPaginatedItems();\n if (!items.length)\n return false;\n return this.nextPageRequestOptions() != null;\n }\n async getNextPage() {\n const nextOptions = this.nextPageRequestOptions();\n if (!nextOptions) {\n throw new OpenAIError('No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.');\n }\n return await __classPrivateFieldGet(this, _AbstractPage_client, \"f\").requestAPIList(this.constructor, nextOptions);\n }\n async *iterPages() {\n let page = this;\n yield page;\n while (page.hasNextPage()) {\n page = await page.getNextPage();\n yield page;\n }\n }\n async *[(_AbstractPage_client = new WeakMap(), Symbol.asyncIterator)]() {\n for await (const page of this.iterPages()) {\n for (const item of page.getPaginatedItems()) {\n yield item;\n }\n }\n }\n}\n/**\n * This subclass of Promise will resolve to an instantiated Page once the request completes.\n *\n * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\nexport class PagePromise extends APIPromise {\n constructor(client, request, Page) {\n super(client, request, async (client, props) => new Page(client, props.response, await defaultParseResponse(client, props), props.options));\n }\n /**\n * Allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\n async *[Symbol.asyncIterator]() {\n const page = await this;\n for await (const item of page) {\n yield item;\n }\n }\n}\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class Page extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.object = body.object;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n nextPageRequestOptions() {\n return null;\n }\n}\nexport class CursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const data = this.getPaginatedItems();\n const id = data[data.length - 1]?.id;\n if (!id) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: id,\n },\n };\n }\n}\nexport class ConversationCursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n this.last_id = body.last_id || '';\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const cursor = this.last_id;\n if (!cursor) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: cursor,\n },\n };\n }\n}\n//# sourceMappingURL=pagination.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { Stream } from \"../core/streaming.mjs\";\nimport { formatRequestDetails, loggerFor } from \"./utils/log.mjs\";\nexport async function defaultParseResponse(client, props) {\n const { response, requestLogID, retryOfRequestLogID, startTime } = props;\n const body = await (async () => {\n if (props.options.stream) {\n loggerFor(client).debug('response', response.status, response.url, response.headers, response.body);\n // Note: there is an invariant here that isn't represented in the type system\n // that if you set `stream: true` the response type must also be `Stream`\n if (props.options.__streamClass) {\n return props.options.__streamClass.fromSSEResponse(response, props.controller, client);\n }\n return Stream.fromSSEResponse(response, props.controller, client);\n }\n // fetch refuses to read the body when the status code is 204.\n if (response.status === 204) {\n return null;\n }\n if (props.options.__binaryResponse) {\n return response;\n }\n const contentType = response.headers.get('content-type');\n const mediaType = contentType?.split(';')[0]?.trim();\n const isJSON = mediaType?.includes('application/json') || mediaType?.endsWith('+json');\n if (isJSON) {\n const json = await response.json();\n return addRequestID(json, response);\n }\n const text = await response.text();\n return text;\n })();\n loggerFor(client).debug(`[${requestLogID}] response parsed`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n body,\n durationMs: Date.now() - startTime,\n }));\n return body;\n}\nexport function addRequestID(value, response) {\n if (!value || typeof value !== 'object' || Array.isArray(value)) {\n return value;\n }\n return Object.defineProperty(value, '_request_id', {\n value: response.headers.get('x-request-id'),\n enumerable: false,\n });\n}\n//# sourceMappingURL=parse.mjs.map","import { ReadableStreamFrom } from \"./shims.mjs\";\nexport const checkFileSupport = () => {\n if (typeof File === 'undefined') {\n const { process } = globalThis;\n const isOldNode = typeof process?.versions?.node === 'string' && parseInt(process.versions.node.split('.')) < 20;\n throw new Error('`File` is not defined as a global, which is required for file uploads.' +\n (isOldNode ?\n \" Update to Node 20 LTS or newer, or set `globalThis.File` to `import('node:buffer').File`.\"\n : ''));\n }\n};\n/**\n * Construct a `File` instance. This is used to ensure a helpful error is thrown\n * for environments that don't define a global `File` yet.\n */\nexport function makeFile(fileBits, fileName, options) {\n checkFileSupport();\n return new File(fileBits, fileName ?? 'unknown_file', options);\n}\nexport function getName(value) {\n return (((typeof value === 'object' &&\n value !== null &&\n (('name' in value && value.name && String(value.name)) ||\n ('url' in value && value.url && String(value.url)) ||\n ('filename' in value && value.filename && String(value.filename)) ||\n ('path' in value && value.path && String(value.path)))) ||\n '')\n .split(/[\\\\/]/)\n .pop() || undefined);\n}\nexport const isAsyncIterable = (value) => value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function';\n/**\n * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value.\n * Otherwise returns the request as is.\n */\nexport const maybeMultipartFormRequestOptions = async (opts, fetch) => {\n if (!hasUploadableValue(opts.body))\n return opts;\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nexport const multipartFormRequestOptions = async (opts, fetch) => {\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nconst supportsFormDataMap = /* @__PURE__ */ new WeakMap();\n/**\n * node-fetch doesn't support the global FormData object in recent node versions. Instead of sending\n * properly-encoded form data, it just stringifies the object, resulting in a request body of \"[object FormData]\".\n * This function detects if the fetch function provided supports the global FormData object to avoid\n * confusing error messages later on.\n */\nfunction supportsFormData(fetchObject) {\n const fetch = typeof fetchObject === 'function' ? fetchObject : fetchObject.fetch;\n const cached = supportsFormDataMap.get(fetch);\n if (cached)\n return cached;\n const promise = (async () => {\n try {\n const FetchResponse = ('Response' in fetch ?\n fetch.Response\n : (await fetch('data:,')).constructor);\n const data = new FormData();\n if (data.toString() === (await new FetchResponse(data).text())) {\n return false;\n }\n return true;\n }\n catch {\n // avoid false negatives\n return true;\n }\n })();\n supportsFormDataMap.set(fetch, promise);\n return promise;\n}\nexport const createForm = async (body, fetch) => {\n if (!(await supportsFormData(fetch))) {\n throw new TypeError('The provided fetch function does not support file uploads with the current global FormData class.');\n }\n const form = new FormData();\n await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value)));\n return form;\n};\n// We check for Blob not File because Bun.File doesn't inherit from File,\n// but they both inherit from Blob and have a `name` property at runtime.\nconst isNamedBlob = (value) => value instanceof Blob && 'name' in value;\nconst isUploadable = (value) => typeof value === 'object' &&\n value !== null &&\n (value instanceof Response || isAsyncIterable(value) || isNamedBlob(value));\nconst hasUploadableValue = (value) => {\n if (isUploadable(value))\n return true;\n if (Array.isArray(value))\n return value.some(hasUploadableValue);\n if (value && typeof value === 'object') {\n for (const k in value) {\n if (hasUploadableValue(value[k]))\n return true;\n }\n }\n return false;\n};\nconst addFormValue = async (form, key, value) => {\n if (value === undefined)\n return;\n if (value == null) {\n throw new TypeError(`Received null for \"${key}\"; to pass null in FormData, you must use the string 'null'`);\n }\n // TODO: make nested formats configurable\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n form.append(key, String(value));\n }\n else if (value instanceof Response) {\n form.append(key, makeFile([await value.blob()], getName(value)));\n }\n else if (isAsyncIterable(value)) {\n form.append(key, makeFile([await new Response(ReadableStreamFrom(value)).blob()], getName(value)));\n }\n else if (isNamedBlob(value)) {\n form.append(key, value, getName(value));\n }\n else if (Array.isArray(value)) {\n await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry)));\n }\n else if (typeof value === 'object') {\n await Promise.all(Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)));\n }\n else {\n throw new TypeError(`Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`);\n }\n};\n//# sourceMappingURL=uploads.mjs.map","import { getName, makeFile, isAsyncIterable } from \"./uploads.mjs\";\nimport { checkFileSupport } from \"./uploads.mjs\";\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isBlobLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.size === 'number' &&\n typeof value.type === 'string' &&\n typeof value.text === 'function' &&\n typeof value.slice === 'function' &&\n typeof value.arrayBuffer === 'function';\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isFileLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.name === 'string' &&\n typeof value.lastModified === 'number' &&\n isBlobLike(value);\nconst isResponseLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.url === 'string' &&\n typeof value.blob === 'function';\n/**\n * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats\n * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s\n * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible\n * @param {Object=} options additional properties\n * @param {string=} options.type the MIME type of the content\n * @param {number=} options.lastModified the last modified timestamp\n * @returns a {@link File} with the given properties\n */\nexport async function toFile(value, name, options) {\n checkFileSupport();\n // If it's a promise, resolve it.\n value = await value;\n // If we've been given a `File` we don't need to do anything\n if (isFileLike(value)) {\n if (value instanceof File) {\n return value;\n }\n return makeFile([await value.arrayBuffer()], value.name);\n }\n if (isResponseLike(value)) {\n const blob = await value.blob();\n name || (name = new URL(value.url).pathname.split(/[\\\\/]/).pop());\n return makeFile(await getBytes(blob), name, options);\n }\n const parts = await getBytes(value);\n name || (name = getName(value));\n if (!options?.type) {\n const type = parts.find((part) => typeof part === 'object' && 'type' in part && part.type);\n if (typeof type === 'string') {\n options = { ...options, type };\n }\n }\n return makeFile(parts, name, options);\n}\nasync function getBytes(value) {\n let parts = [];\n if (typeof value === 'string' ||\n ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc.\n value instanceof ArrayBuffer) {\n parts.push(value);\n }\n else if (isBlobLike(value)) {\n parts.push(value instanceof Blob ? value : await value.arrayBuffer());\n }\n else if (isAsyncIterable(value) // includes Readable, ReadableStream, etc.\n ) {\n for await (const chunk of value) {\n parts.push(...(await getBytes(chunk))); // TODO, consider validating?\n }\n }\n else {\n const constructor = value?.constructor?.name;\n throw new Error(`Unexpected data type: ${typeof value}${constructor ? `; constructor: ${constructor}` : ''}${propsForError(value)}`);\n }\n return parts;\n}\nfunction propsForError(value) {\n if (typeof value !== 'object' || value === null)\n return '';\n const props = Object.getOwnPropertyNames(value);\n return `; props: [${props.map((p) => `\"${p}\"`).join(', ')}]`;\n}\n//# sourceMappingURL=to-file.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport class APIResource {\n constructor(client) {\n this._client = client;\n }\n}\n//# sourceMappingURL=resource.mjs.map","import { OpenAIError } from \"../../core/error.mjs\";\n/**\n * Percent-encode everything that isn't safe to have in a path without encoding safe chars.\n *\n * Taken from https://datatracker.ietf.org/doc/html/rfc3986#section-3.3:\n * > unreserved = ALPHA / DIGIT / \"-\" / \".\" / \"_\" / \"~\"\n * > sub-delims = \"!\" / \"$\" / \"&\" / \"'\" / \"(\" / \")\" / \"*\" / \"+\" / \",\" / \";\" / \"=\"\n * > pchar = unreserved / pct-encoded / sub-delims / \":\" / \"@\"\n */\nexport function encodeURIPath(str) {\n return str.replace(/[^A-Za-z0-9\\-._~!$&'()*+,;=:@]+/g, encodeURIComponent);\n}\nconst EMPTY = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.create(null));\nexport const createPathTagFunction = (pathEncoder = encodeURIPath) => function path(statics, ...params) {\n // If there are no params, no processing is needed.\n if (statics.length === 1)\n return statics[0];\n let postPath = false;\n const invalidSegments = [];\n const path = statics.reduce((previousValue, currentValue, index) => {\n if (/[?#]/.test(currentValue)) {\n postPath = true;\n }\n const value = params[index];\n let encoded = (postPath ? encodeURIComponent : pathEncoder)('' + value);\n if (index !== params.length &&\n (value == null ||\n (typeof value === 'object' &&\n // handle values from other realms\n value.toString ===\n Object.getPrototypeOf(Object.getPrototypeOf(value.hasOwnProperty ?? EMPTY) ?? EMPTY)\n ?.toString))) {\n encoded = value + '';\n invalidSegments.push({\n start: previousValue.length + currentValue.length,\n length: encoded.length,\n error: `Value of type ${Object.prototype.toString\n .call(value)\n .slice(8, -1)} is not a valid path parameter`,\n });\n }\n return previousValue + currentValue + (index === params.length ? '' : encoded);\n }, '');\n const pathOnly = path.split(/[?#]/, 1)[0];\n const invalidSegmentPattern = /(?<=^|\\/)(?:\\.|%2e){1,2}(?=\\/|$)/gi;\n let match;\n // Find all invalid segments\n while ((match = invalidSegmentPattern.exec(pathOnly)) !== null) {\n invalidSegments.push({\n start: match.index,\n length: match[0].length,\n error: `Value \"${match[0]}\" can\\'t be safely passed as a path parameter`,\n });\n }\n invalidSegments.sort((a, b) => a.start - b.start);\n if (invalidSegments.length > 0) {\n let lastEnd = 0;\n const underline = invalidSegments.reduce((acc, segment) => {\n const spaces = ' '.repeat(segment.start - lastEnd);\n const arrows = '^'.repeat(segment.length);\n lastEnd = segment.start + segment.length;\n return acc + spaces + arrows;\n }, '');\n throw new OpenAIError(`Path parameters result in path with invalid segments:\\n${invalidSegments\n .map((e) => e.error)\n .join('\\n')}\\n${path}\\n${underline}`);\n }\n return path;\n};\n/**\n * URI-encodes path params and ensures no unsafe /./ or /../ path segments are introduced.\n */\nexport const path = /* @__PURE__ */ createPathTagFunction(encodeURIPath);\n//# sourceMappingURL=path.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Messages extends APIResource {\n /**\n * Get the messages in a stored chat completion. Only Chat Completions that have\n * been created with the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list(\n * 'completion_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(completionID, query = {}, options) {\n return this._client.getAPIList(path `/chat/completions/${completionID}/messages`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=messages.mjs.map","import { ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError } from \"../error.mjs\";\nexport function isChatCompletionFunctionTool(tool) {\n return tool !== undefined && 'function' in tool && tool.function !== undefined;\n}\nexport function makeParseableResponseFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function makeParseableTextFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableResponseFormat(response_format) {\n return response_format?.['$brand'] === 'auto-parseable-response-format';\n}\nexport function makeParseableTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nexport function maybeParseChatCompletion(completion, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...completion,\n choices: completion.choices.map((choice) => {\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n parsed: null,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls,\n }\n : undefined),\n },\n };\n }),\n };\n }\n return parseChatCompletion(completion, params);\n}\nexport function parseChatCompletion(completion, params) {\n const choices = completion.choices.map((choice) => {\n if (choice.finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (choice.finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls?.map((toolCall) => parseToolCall(params, toolCall)) ?? undefined,\n }\n : undefined),\n parsed: choice.message.content && !choice.message.refusal ?\n parseResponseFormat(params, choice.message.content)\n : null,\n },\n };\n });\n return { ...completion, choices };\n}\nfunction parseResponseFormat(params, content) {\n if (params.response_format?.type !== 'json_schema') {\n return null;\n }\n if (params.response_format?.type === 'json_schema') {\n if ('$parseRaw' in params.response_format) {\n const response_format = params.response_format;\n return response_format.$parseRaw(content);\n }\n return JSON.parse(content);\n }\n return null;\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name); // TS doesn't narrow based on isChatCompletionTool\n return {\n ...toolCall,\n function: {\n ...toolCall.function,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCall.function.arguments)\n : null,\n },\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params || !('tools' in params) || !params.tools) {\n return false;\n }\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name);\n return (isChatCompletionFunctionTool(inputTool) &&\n (isAutoParsableTool(inputTool) || inputTool?.function.strict || false));\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.response_format)) {\n return true;\n }\n return (params.tools?.some((t) => isAutoParsableTool(t) || (t.type === 'function' && t.function.strict === true)) ?? false);\n}\nexport function assertToolCallsAreChatCompletionFunctionToolCalls(toolCalls) {\n for (const toolCall of toolCalls || []) {\n if (toolCall.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool calls are supported; Received \\`${toolCall.type}\\``);\n }\n }\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\n//# sourceMappingURL=parser.mjs.map","export const isAssistantMessage = (message) => {\n return message?.role === 'assistant';\n};\nexport const isToolMessage = (message) => {\n return message?.role === 'tool';\n};\nexport function isPresent(obj) {\n return obj != null;\n}\n//# sourceMappingURL=chatCompletionUtils.mjs.map","var _EventStream_instances, _EventStream_connectedPromise, _EventStream_resolveConnectedPromise, _EventStream_rejectConnectedPromise, _EventStream_endPromise, _EventStream_resolveEndPromise, _EventStream_rejectEndPromise, _EventStream_listeners, _EventStream_ended, _EventStream_errored, _EventStream_aborted, _EventStream_catchingPromiseCreated, _EventStream_handleError;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nexport class EventStream {\n constructor() {\n _EventStream_instances.add(this);\n this.controller = new AbortController();\n _EventStream_connectedPromise.set(this, void 0);\n _EventStream_resolveConnectedPromise.set(this, () => { });\n _EventStream_rejectConnectedPromise.set(this, () => { });\n _EventStream_endPromise.set(this, void 0);\n _EventStream_resolveEndPromise.set(this, () => { });\n _EventStream_rejectEndPromise.set(this, () => { });\n _EventStream_listeners.set(this, {});\n _EventStream_ended.set(this, false);\n _EventStream_errored.set(this, false);\n _EventStream_aborted.set(this, false);\n _EventStream_catchingPromiseCreated.set(this, false);\n __classPrivateFieldSet(this, _EventStream_connectedPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveConnectedPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectConnectedPromise, reject, \"f\");\n }), \"f\");\n __classPrivateFieldSet(this, _EventStream_endPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveEndPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectEndPromise, reject, \"f\");\n }), \"f\");\n // Don't let these promises cause unhandled rejection errors.\n // we will manually cause an unhandled rejection error later\n // if the user hasn't registered any error listener or called\n // any promise-returning method.\n __classPrivateFieldGet(this, _EventStream_connectedPromise, \"f\").catch(() => { });\n __classPrivateFieldGet(this, _EventStream_endPromise, \"f\").catch(() => { });\n }\n _run(executor) {\n // Unfortunately if we call `executor()` immediately we get runtime errors about\n // references to `this` before the `super()` constructor call returns.\n setTimeout(() => {\n executor().then(() => {\n this._emitFinal();\n this._emit('end');\n }, __classPrivateFieldGet(this, _EventStream_instances, \"m\", _EventStream_handleError).bind(this));\n }, 0);\n }\n _connected() {\n if (this.ended)\n return;\n __classPrivateFieldGet(this, _EventStream_resolveConnectedPromise, \"f\").call(this);\n this._emit('connect');\n }\n get ended() {\n return __classPrivateFieldGet(this, _EventStream_ended, \"f\");\n }\n get errored() {\n return __classPrivateFieldGet(this, _EventStream_errored, \"f\");\n }\n get aborted() {\n return __classPrivateFieldGet(this, _EventStream_aborted, \"f\");\n }\n abort() {\n this.controller.abort();\n }\n /**\n * Adds the listener function to the end of the listeners array for the event.\n * No checks are made to see if the listener has already been added. Multiple calls passing\n * the same combination of event and listener will result in the listener being added, and\n * called, multiple times.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n on(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener });\n return this;\n }\n /**\n * Removes the specified listener from the listener array for the event.\n * off() will remove, at most, one instance of a listener from the listener array. If any single\n * listener has been added multiple times to the listener array for the specified event, then\n * off() must be called multiple times to remove each instance.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n off(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (!listeners)\n return this;\n const index = listeners.findIndex((l) => l.listener === listener);\n if (index >= 0)\n listeners.splice(index, 1);\n return this;\n }\n /**\n * Adds a one-time listener function for the event. The next time the event is triggered,\n * this listener is removed and then invoked.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n once(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener, once: true });\n return this;\n }\n /**\n * This is similar to `.once()`, but returns a Promise that resolves the next time\n * the event is triggered, instead of calling a listener callback.\n * @returns a Promise that resolves the next time given event is triggered,\n * or rejects if an error is emitted. (If you request the 'error' event,\n * returns a promise that resolves with the error).\n *\n * Example:\n *\n * const message = await stream.emitted('message') // rejects if the stream errors\n */\n emitted(event) {\n return new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n if (event !== 'error')\n this.once('error', reject);\n this.once(event, resolve);\n });\n }\n async done() {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n await __classPrivateFieldGet(this, _EventStream_endPromise, \"f\");\n }\n _emit(event, ...args) {\n // make sure we don't emit any events after end\n if (__classPrivateFieldGet(this, _EventStream_ended, \"f\")) {\n return;\n }\n if (event === 'end') {\n __classPrivateFieldSet(this, _EventStream_ended, true, \"f\");\n __classPrivateFieldGet(this, _EventStream_resolveEndPromise, \"f\").call(this);\n }\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (listeners) {\n __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = listeners.filter((l) => !l.once);\n listeners.forEach(({ listener }) => listener(...args));\n }\n if (event === 'abort') {\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n return;\n }\n if (event === 'error') {\n // NOTE: _emit('error', error) should only be called from #handleError().\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n // Trigger an unhandled rejection if the user hasn't registered any error handlers.\n // If you are seeing stack traces here, make sure to handle errors via either:\n // - runner.on('error', () => ...)\n // - await runner.done()\n // - await runner.finalChatCompletion()\n // - etc.\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n }\n }\n _emitFinal() { }\n}\n_EventStream_connectedPromise = new WeakMap(), _EventStream_resolveConnectedPromise = new WeakMap(), _EventStream_rejectConnectedPromise = new WeakMap(), _EventStream_endPromise = new WeakMap(), _EventStream_resolveEndPromise = new WeakMap(), _EventStream_rejectEndPromise = new WeakMap(), _EventStream_listeners = new WeakMap(), _EventStream_ended = new WeakMap(), _EventStream_errored = new WeakMap(), _EventStream_aborted = new WeakMap(), _EventStream_catchingPromiseCreated = new WeakMap(), _EventStream_instances = new WeakSet(), _EventStream_handleError = function _EventStream_handleError(error) {\n __classPrivateFieldSet(this, _EventStream_errored, true, \"f\");\n if (error instanceof Error && error.name === 'AbortError') {\n error = new APIUserAbortError();\n }\n if (error instanceof APIUserAbortError) {\n __classPrivateFieldSet(this, _EventStream_aborted, true, \"f\");\n return this._emit('abort', error);\n }\n if (error instanceof OpenAIError) {\n return this._emit('error', error);\n }\n if (error instanceof Error) {\n const openAIError = new OpenAIError(error.message);\n // @ts-ignore\n openAIError.cause = error;\n return this._emit('error', openAIError);\n }\n return this._emit('error', new OpenAIError(String(error)));\n};\n//# sourceMappingURL=EventStream.mjs.map","var _AbstractChatCompletionRunner_instances, _AbstractChatCompletionRunner_getFinalContent, _AbstractChatCompletionRunner_getFinalMessage, _AbstractChatCompletionRunner_getFinalFunctionToolCall, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult, _AbstractChatCompletionRunner_calculateTotalUsage, _AbstractChatCompletionRunner_validateParams, _AbstractChatCompletionRunner_stringifyFunctionCallResult;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableTool, parseChatCompletion } from \"../lib/parser.mjs\";\nimport { isAssistantMessage, isToolMessage } from \"./chatCompletionUtils.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isRunnableFunctionWithParse, } from \"./RunnableFunction.mjs\";\nconst DEFAULT_MAX_CHAT_COMPLETIONS = 10;\nexport class AbstractChatCompletionRunner extends EventStream {\n constructor() {\n super(...arguments);\n _AbstractChatCompletionRunner_instances.add(this);\n this._chatCompletions = [];\n this.messages = [];\n }\n _addChatCompletion(chatCompletion) {\n this._chatCompletions.push(chatCompletion);\n this._emit('chatCompletion', chatCompletion);\n const message = chatCompletion.choices[0]?.message;\n if (message)\n this._addMessage(message);\n return chatCompletion;\n }\n _addMessage(message, emit = true) {\n if (!('content' in message))\n message.content = null;\n this.messages.push(message);\n if (emit) {\n this._emit('message', message);\n if (isToolMessage(message) && message.content) {\n // Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function.\n this._emit('functionToolCallResult', message.content);\n }\n else if (isAssistantMessage(message) && message.tool_calls) {\n for (const tool_call of message.tool_calls) {\n if (tool_call.type === 'function') {\n this._emit('functionToolCall', tool_call.function);\n }\n }\n }\n }\n }\n /**\n * @returns a promise that resolves with the final ChatCompletion, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletion.\n */\n async finalChatCompletion() {\n await this.done();\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (!completion)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return completion;\n }\n /**\n * @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalContent() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n }\n /**\n * @returns a promise that resolves with the the final assistant ChatCompletionMessage response,\n * or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalMessage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n }\n /**\n * @returns a promise that resolves with the content of the final FunctionCall, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalFunctionToolCall() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n }\n async finalFunctionToolCallResult() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n }\n async totalUsage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this);\n }\n allChatCompletions() {\n return [...this._chatCompletions];\n }\n _emitFinal() {\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (completion)\n this._emit('finalChatCompletion', completion);\n const finalMessage = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n if (finalMessage)\n this._emit('finalMessage', finalMessage);\n const finalContent = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n if (finalContent)\n this._emit('finalContent', finalContent);\n const finalFunctionCall = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n if (finalFunctionCall)\n this._emit('finalFunctionToolCall', finalFunctionCall);\n const finalFunctionCallResult = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n if (finalFunctionCallResult != null)\n this._emit('finalFunctionToolCallResult', finalFunctionCallResult);\n if (this._chatCompletions.some((c) => c.usage)) {\n this._emit('totalUsage', __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this));\n }\n }\n async _createChatCompletion(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_validateParams).call(this, params);\n const chatCompletion = await client.chat.completions.create({ ...params, stream: false }, { ...options, signal: this.controller.signal });\n this._connected();\n return this._addChatCompletion(parseChatCompletion(chatCompletion, params));\n }\n async _runChatCompletion(client, params, options) {\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n return await this._createChatCompletion(client, params, options);\n }\n async _runTools(client, params, options) {\n const role = 'tool';\n const { tool_choice = 'auto', stream, ...restParams } = params;\n const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice.type === 'function' && tool_choice?.function?.name;\n const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {};\n // TODO(someday): clean this logic up\n const inputTools = params.tools.map((tool) => {\n if (isAutoParsableTool(tool)) {\n if (!tool.$callback) {\n throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function');\n }\n return {\n type: 'function',\n function: {\n function: tool.$callback,\n name: tool.function.name,\n description: tool.function.description || '',\n parameters: tool.function.parameters,\n parse: tool.$parseRaw,\n strict: true,\n },\n };\n }\n return tool;\n });\n const functionsByName = {};\n for (const f of inputTools) {\n if (f.type === 'function') {\n functionsByName[f.function.name || f.function.function.name] = f.function;\n }\n }\n const tools = 'tools' in params ?\n inputTools.map((t) => t.type === 'function' ?\n {\n type: 'function',\n function: {\n name: t.function.name || t.function.function.name,\n parameters: t.function.parameters,\n description: t.function.description,\n strict: t.function.strict,\n },\n }\n : t)\n : undefined;\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n for (let i = 0; i < maxChatCompletions; ++i) {\n const chatCompletion = await this._createChatCompletion(client, {\n ...restParams,\n tool_choice,\n tools,\n messages: [...this.messages],\n }, options);\n const message = chatCompletion.choices[0]?.message;\n if (!message) {\n throw new OpenAIError(`missing message in ChatCompletion response`);\n }\n if (!message.tool_calls?.length) {\n return;\n }\n for (const tool_call of message.tool_calls) {\n if (tool_call.type !== 'function')\n continue;\n const tool_call_id = tool_call.id;\n const { name, arguments: args } = tool_call.function;\n const fn = functionsByName[name];\n if (!fn) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys(functionsByName)\n .map((name) => JSON.stringify(name))\n .join(', ')}. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n else if (singleFunctionToCall && singleFunctionToCall !== name) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify(singleFunctionToCall)} requested. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n let parsed;\n try {\n parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args;\n }\n catch (error) {\n const content = error instanceof Error ? error.message : String(error);\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n // @ts-expect-error it can't rule out `never` type.\n const rawContent = await fn.function(parsed, this);\n const content = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_stringifyFunctionCallResult).call(this, rawContent);\n this._addMessage({ role, tool_call_id, content });\n if (singleFunctionToCall) {\n return;\n }\n }\n }\n return;\n }\n}\n_AbstractChatCompletionRunner_instances = new WeakSet(), _AbstractChatCompletionRunner_getFinalContent = function _AbstractChatCompletionRunner_getFinalContent() {\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this).content ?? null;\n}, _AbstractChatCompletionRunner_getFinalMessage = function _AbstractChatCompletionRunner_getFinalMessage() {\n let i = this.messages.length;\n while (i-- > 0) {\n const message = this.messages[i];\n if (isAssistantMessage(message)) {\n // TODO: support audio here\n const ret = {\n ...message,\n content: message.content ?? null,\n refusal: message.refusal ?? null,\n };\n return ret;\n }\n }\n throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant');\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCall = function _AbstractChatCompletionRunner_getFinalFunctionToolCall() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isAssistantMessage(message) && message?.tool_calls?.length) {\n return message.tool_calls.filter((x) => x.type === 'function').at(-1)?.function;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult = function _AbstractChatCompletionRunner_getFinalFunctionToolCallResult() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isToolMessage(message) &&\n message.content != null &&\n typeof message.content === 'string' &&\n this.messages.some((x) => x.role === 'assistant' &&\n x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id))) {\n return message.content;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_calculateTotalUsage = function _AbstractChatCompletionRunner_calculateTotalUsage() {\n const total = {\n completion_tokens: 0,\n prompt_tokens: 0,\n total_tokens: 0,\n };\n for (const { usage } of this._chatCompletions) {\n if (usage) {\n total.completion_tokens += usage.completion_tokens;\n total.prompt_tokens += usage.prompt_tokens;\n total.total_tokens += usage.total_tokens;\n }\n }\n return total;\n}, _AbstractChatCompletionRunner_validateParams = function _AbstractChatCompletionRunner_validateParams(params) {\n if (params.n != null && params.n > 1) {\n throw new OpenAIError('ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.');\n }\n}, _AbstractChatCompletionRunner_stringifyFunctionCallResult = function _AbstractChatCompletionRunner_stringifyFunctionCallResult(rawContent) {\n return (typeof rawContent === 'string' ? rawContent\n : rawContent === undefined ? 'undefined'\n : JSON.stringify(rawContent));\n};\n//# sourceMappingURL=AbstractChatCompletionRunner.mjs.map","export function isRunnableFunctionWithParse(fn) {\n return typeof fn.parse === 'function';\n}\n/**\n * This is helper class for passing a `function` and `parse` where the `function`\n * argument type matches the `parse` return type.\n */\nexport class ParsingToolFunction {\n constructor(input) {\n this.type = 'function';\n this.function = input;\n }\n}\n//# sourceMappingURL=RunnableFunction.mjs.map","import { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nimport { isAssistantMessage } from \"./chatCompletionUtils.mjs\";\nexport class ChatCompletionRunner extends AbstractChatCompletionRunner {\n static runTools(client, params, options) {\n const runner = new ChatCompletionRunner();\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n _addMessage(message, emit = true) {\n super._addMessage(message, emit);\n if (isAssistantMessage(message) && message.content) {\n this._emit('content', message.content);\n }\n }\n}\n//# sourceMappingURL=ChatCompletionRunner.mjs.map","const STR = 0b000000001;\nconst NUM = 0b000000010;\nconst ARR = 0b000000100;\nconst OBJ = 0b000001000;\nconst NULL = 0b000010000;\nconst BOOL = 0b000100000;\nconst NAN = 0b001000000;\nconst INFINITY = 0b010000000;\nconst MINUS_INFINITY = 0b100000000;\nconst INF = INFINITY | MINUS_INFINITY;\nconst SPECIAL = NULL | BOOL | INF | NAN;\nconst ATOM = STR | NUM | SPECIAL;\nconst COLLECTION = ARR | OBJ;\nconst ALL = ATOM | COLLECTION;\nconst Allow = {\n STR,\n NUM,\n ARR,\n OBJ,\n NULL,\n BOOL,\n NAN,\n INFINITY,\n MINUS_INFINITY,\n INF,\n SPECIAL,\n ATOM,\n COLLECTION,\n ALL,\n};\n// The JSON string segment was unable to be parsed completely\nclass PartialJSON extends Error {\n}\nclass MalformedJSON extends Error {\n}\n/**\n * Parse incomplete JSON\n * @param {string} jsonString Partial JSON to be parsed\n * @param {number} allowPartial Specify what types are allowed to be partial, see {@link Allow} for details\n * @returns The parsed JSON\n * @throws {PartialJSON} If the JSON is incomplete (related to the `allow` parameter)\n * @throws {MalformedJSON} If the JSON is malformed\n */\nfunction parseJSON(jsonString, allowPartial = Allow.ALL) {\n if (typeof jsonString !== 'string') {\n throw new TypeError(`expecting str, got ${typeof jsonString}`);\n }\n if (!jsonString.trim()) {\n throw new Error(`${jsonString} is empty`);\n }\n return _parseJSON(jsonString.trim(), allowPartial);\n}\nconst _parseJSON = (jsonString, allow) => {\n const length = jsonString.length;\n let index = 0;\n const markPartialJSON = (msg) => {\n throw new PartialJSON(`${msg} at position ${index}`);\n };\n const throwMalformedError = (msg) => {\n throw new MalformedJSON(`${msg} at position ${index}`);\n };\n const parseAny = () => {\n skipBlank();\n if (index >= length)\n markPartialJSON('Unexpected end of input');\n if (jsonString[index] === '\"')\n return parseStr();\n if (jsonString[index] === '{')\n return parseObj();\n if (jsonString[index] === '[')\n return parseArr();\n if (jsonString.substring(index, index + 4) === 'null' ||\n (Allow.NULL & allow && length - index < 4 && 'null'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return null;\n }\n if (jsonString.substring(index, index + 4) === 'true' ||\n (Allow.BOOL & allow && length - index < 4 && 'true'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return true;\n }\n if (jsonString.substring(index, index + 5) === 'false' ||\n (Allow.BOOL & allow && length - index < 5 && 'false'.startsWith(jsonString.substring(index)))) {\n index += 5;\n return false;\n }\n if (jsonString.substring(index, index + 8) === 'Infinity' ||\n (Allow.INFINITY & allow && length - index < 8 && 'Infinity'.startsWith(jsonString.substring(index)))) {\n index += 8;\n return Infinity;\n }\n if (jsonString.substring(index, index + 9) === '-Infinity' ||\n (Allow.MINUS_INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n '-Infinity'.startsWith(jsonString.substring(index)))) {\n index += 9;\n return -Infinity;\n }\n if (jsonString.substring(index, index + 3) === 'NaN' ||\n (Allow.NAN & allow && length - index < 3 && 'NaN'.startsWith(jsonString.substring(index)))) {\n index += 3;\n return NaN;\n }\n return parseNum();\n };\n const parseStr = () => {\n const start = index;\n let escape = false;\n index++; // skip initial quote\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === '\\\\'))) {\n escape = jsonString[index] === '\\\\' ? !escape : false;\n index++;\n }\n if (jsonString.charAt(index) == '\"') {\n try {\n return JSON.parse(jsonString.substring(start, ++index - Number(escape)));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n else if (Allow.STR & allow) {\n try {\n return JSON.parse(jsonString.substring(start, index - Number(escape)) + '\"');\n }\n catch (e) {\n // SyntaxError: Invalid escape sequence\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('\\\\')) + '\"');\n }\n }\n markPartialJSON('Unterminated string literal');\n };\n const parseObj = () => {\n index++; // skip initial brace\n skipBlank();\n const obj = {};\n try {\n while (jsonString[index] !== '}') {\n skipBlank();\n if (index >= length && Allow.OBJ & allow)\n return obj;\n const key = parseStr();\n skipBlank();\n index++; // skip colon\n try {\n const value = parseAny();\n Object.defineProperty(obj, key, { value, writable: true, enumerable: true, configurable: true });\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n throw e;\n }\n skipBlank();\n if (jsonString[index] === ',')\n index++; // skip comma\n }\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n markPartialJSON(\"Expected '}' at end of object\");\n }\n index++; // skip final brace\n return obj;\n };\n const parseArr = () => {\n index++; // skip initial bracket\n const arr = [];\n try {\n while (jsonString[index] !== ']') {\n arr.push(parseAny());\n skipBlank();\n if (jsonString[index] === ',') {\n index++; // skip comma\n }\n }\n }\n catch (e) {\n if (Allow.ARR & allow) {\n return arr;\n }\n markPartialJSON(\"Expected ']' at end of array\");\n }\n index++; // skip final bracket\n return arr;\n };\n const parseNum = () => {\n if (index === 0) {\n if (jsonString === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString);\n }\n catch (e) {\n if (Allow.NUM & allow) {\n try {\n if ('.' === jsonString[jsonString.length - 1])\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('.')));\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('e')));\n }\n catch (e) { }\n }\n throwMalformedError(String(e));\n }\n }\n const start = index;\n if (jsonString[index] === '-')\n index++;\n while (jsonString[index] && !',]}'.includes(jsonString[index]))\n index++;\n if (index == length && !(Allow.NUM & allow))\n markPartialJSON('Unterminated number literal');\n try {\n return JSON.parse(jsonString.substring(start, index));\n }\n catch (e) {\n if (jsonString.substring(start, index) === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('e')));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n };\n const skipBlank = () => {\n while (index < length && ' \\n\\r\\t'.includes(jsonString[index])) {\n index++;\n }\n };\n return parseAny();\n};\n// using this function with malformed JSON is undefined behavior\nconst partialParse = (input) => parseJSON(input, Allow.ALL ^ Allow.NUM);\nexport { partialParse, PartialJSON, MalformedJSON };\n//# sourceMappingURL=parser.mjs.map","var _ChatCompletionStream_instances, _ChatCompletionStream_params, _ChatCompletionStream_choiceEventStates, _ChatCompletionStream_currentChatCompletionSnapshot, _ChatCompletionStream_beginRequest, _ChatCompletionStream_getChoiceEventState, _ChatCompletionStream_addChunk, _ChatCompletionStream_emitToolCallDoneEvent, _ChatCompletionStream_emitContentDoneEvents, _ChatCompletionStream_endRequest, _ChatCompletionStream_getAutoParseableResponseFormat, _ChatCompletionStream_accumulateChatCompletion;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { partialParse } from \"../_vendor/partial-json-parser/parser.mjs\";\nimport { APIUserAbortError, ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError, } from \"../error.mjs\";\nimport { hasAutoParseableInput, isAutoParsableResponseFormat, isAutoParsableTool, isChatCompletionFunctionTool, maybeParseChatCompletion, shouldParseToolCall, } from \"../lib/parser.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nexport class ChatCompletionStream extends AbstractChatCompletionRunner {\n constructor(params) {\n super();\n _ChatCompletionStream_instances.add(this);\n _ChatCompletionStream_params.set(this, void 0);\n _ChatCompletionStream_choiceEventStates.set(this, void 0);\n _ChatCompletionStream_currentChatCompletionSnapshot.set(this, void 0);\n __classPrivateFieldSet(this, _ChatCompletionStream_params, params, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n }\n get currentChatCompletionSnapshot() {\n return __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n }\n /**\n * Intended for use on the frontend, consuming a stream produced with\n * `.toReadableStream()` on the backend.\n *\n * Note that messages sent to the model do not appear in `.on('message')`\n * in this context.\n */\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStream(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static createChatCompletion(client, params, options) {\n const runner = new ChatCompletionStream(params);\n runner._run(() => runner._runChatCompletion(client, { ...params, stream: true }, { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }));\n return runner;\n }\n async _createChatCompletion(client, params, options) {\n super._createChatCompletion;\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n const stream = await client.chat.completions.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const chunk of stream) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n let chatId;\n for await (const chunk of stream) {\n if (chatId && chatId !== chunk.id) {\n // A new request has been made.\n this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n chatId = chunk.id;\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n [(_ChatCompletionStream_params = new WeakMap(), _ChatCompletionStream_choiceEventStates = new WeakMap(), _ChatCompletionStream_currentChatCompletionSnapshot = new WeakMap(), _ChatCompletionStream_instances = new WeakSet(), _ChatCompletionStream_beginRequest = function _ChatCompletionStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n }, _ChatCompletionStream_getChoiceEventState = function _ChatCompletionStream_getChoiceEventState(choice) {\n let state = __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index];\n if (state) {\n return state;\n }\n state = {\n content_done: false,\n refusal_done: false,\n logprobs_content_done: false,\n logprobs_refusal_done: false,\n done_tool_calls: new Set(),\n current_tool_call_index: null,\n };\n __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index] = state;\n return state;\n }, _ChatCompletionStream_addChunk = function _ChatCompletionStream_addChunk(chunk) {\n if (this.ended)\n return;\n const completion = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_accumulateChatCompletion).call(this, chunk);\n this._emit('chunk', chunk, completion);\n for (const choice of chunk.choices) {\n const choiceSnapshot = completion.choices[choice.index];\n if (choice.delta.content != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.content) {\n this._emit('content', choice.delta.content, choiceSnapshot.message.content);\n this._emit('content.delta', {\n delta: choice.delta.content,\n snapshot: choiceSnapshot.message.content,\n parsed: choiceSnapshot.message.parsed,\n });\n }\n if (choice.delta.refusal != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.refusal) {\n this._emit('refusal.delta', {\n delta: choice.delta.refusal,\n snapshot: choiceSnapshot.message.refusal,\n });\n }\n if (choice.logprobs?.content != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.content.delta', {\n content: choice.logprobs?.content,\n snapshot: choiceSnapshot.logprobs?.content ?? [],\n });\n }\n if (choice.logprobs?.refusal != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.refusal.delta', {\n refusal: choice.logprobs?.refusal,\n snapshot: choiceSnapshot.logprobs?.refusal ?? [],\n });\n }\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.finish_reason) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n for (const toolCall of choice.delta.tool_calls ?? []) {\n if (state.current_tool_call_index !== toolCall.index) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n // new tool call started, the previous one is done\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n state.current_tool_call_index = toolCall.index;\n }\n for (const toolCallDelta of choice.delta.tool_calls ?? []) {\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallDelta.index];\n if (!toolCallSnapshot?.type) {\n continue;\n }\n if (toolCallSnapshot?.type === 'function') {\n this._emit('tool_calls.function.arguments.delta', {\n name: toolCallSnapshot.function?.name,\n index: toolCallDelta.index,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: toolCallSnapshot.function.parsed_arguments,\n arguments_delta: toolCallDelta.function?.arguments ?? '',\n });\n }\n else {\n assertNever(toolCallSnapshot?.type);\n }\n }\n }\n }, _ChatCompletionStream_emitToolCallDoneEvent = function _ChatCompletionStream_emitToolCallDoneEvent(choiceSnapshot, toolCallIndex) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (state.done_tool_calls.has(toolCallIndex)) {\n // we've already fired the done event\n return;\n }\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallIndex];\n if (!toolCallSnapshot) {\n throw new Error('no tool call snapshot');\n }\n if (!toolCallSnapshot.type) {\n throw new Error('tool call snapshot missing `type`');\n }\n if (toolCallSnapshot.type === 'function') {\n const inputTool = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.tools?.find((tool) => isChatCompletionFunctionTool(tool) && tool.function.name === toolCallSnapshot.function.name); // TS doesn't narrow based on isChatCompletionTool\n this._emit('tool_calls.function.arguments.done', {\n name: toolCallSnapshot.function.name,\n index: toolCallIndex,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCallSnapshot.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments)\n : null,\n });\n }\n else {\n assertNever(toolCallSnapshot.type);\n }\n }, _ChatCompletionStream_emitContentDoneEvents = function _ChatCompletionStream_emitContentDoneEvents(choiceSnapshot) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.message.content && !state.content_done) {\n state.content_done = true;\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this);\n this._emit('content.done', {\n content: choiceSnapshot.message.content,\n parsed: responseFormat ? responseFormat.$parseRaw(choiceSnapshot.message.content) : null,\n });\n }\n if (choiceSnapshot.message.refusal && !state.refusal_done) {\n state.refusal_done = true;\n this._emit('refusal.done', { refusal: choiceSnapshot.message.refusal });\n }\n if (choiceSnapshot.logprobs?.content && !state.logprobs_content_done) {\n state.logprobs_content_done = true;\n this._emit('logprobs.content.done', { content: choiceSnapshot.logprobs.content });\n }\n if (choiceSnapshot.logprobs?.refusal && !state.logprobs_refusal_done) {\n state.logprobs_refusal_done = true;\n this._emit('logprobs.refusal.done', { refusal: choiceSnapshot.logprobs.refusal });\n }\n }, _ChatCompletionStream_endRequest = function _ChatCompletionStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any chunks`);\n }\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n return finalizeChatCompletion(snapshot, __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"));\n }, _ChatCompletionStream_getAutoParseableResponseFormat = function _ChatCompletionStream_getAutoParseableResponseFormat() {\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.response_format;\n if (isAutoParsableResponseFormat(responseFormat)) {\n return responseFormat;\n }\n return null;\n }, _ChatCompletionStream_accumulateChatCompletion = function _ChatCompletionStream_accumulateChatCompletion(chunk) {\n var _a, _b, _c, _d;\n let snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n const { choices, ...rest } = chunk;\n if (!snapshot) {\n snapshot = __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, {\n ...rest,\n choices: [],\n }, \"f\");\n }\n else {\n Object.assign(snapshot, rest);\n }\n for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) {\n let choice = snapshot.choices[index];\n if (!choice) {\n choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other };\n }\n if (logprobs) {\n if (!choice.logprobs) {\n choice.logprobs = Object.assign({}, logprobs);\n }\n else {\n const { content, refusal, ...rest } = logprobs;\n assertIsEmpty(rest);\n Object.assign(choice.logprobs, rest);\n if (content) {\n (_a = choice.logprobs).content ?? (_a.content = []);\n choice.logprobs.content.push(...content);\n }\n if (refusal) {\n (_b = choice.logprobs).refusal ?? (_b.refusal = []);\n choice.logprobs.refusal.push(...refusal);\n }\n }\n }\n if (finish_reason) {\n choice.finish_reason = finish_reason;\n if (__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\") && hasAutoParseableInput(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"))) {\n if (finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n }\n }\n Object.assign(choice, other);\n if (!delta)\n continue; // Shouldn't happen; just in case.\n const { content, refusal, function_call, role, tool_calls, ...rest } = delta;\n assertIsEmpty(rest);\n Object.assign(choice.message, rest);\n if (refusal) {\n choice.message.refusal = (choice.message.refusal || '') + refusal;\n }\n if (role)\n choice.message.role = role;\n if (function_call) {\n if (!choice.message.function_call) {\n choice.message.function_call = function_call;\n }\n else {\n if (function_call.name)\n choice.message.function_call.name = function_call.name;\n if (function_call.arguments) {\n (_c = choice.message.function_call).arguments ?? (_c.arguments = '');\n choice.message.function_call.arguments += function_call.arguments;\n }\n }\n }\n if (content) {\n choice.message.content = (choice.message.content || '') + content;\n if (!choice.message.refusal && __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this)) {\n choice.message.parsed = partialParse(choice.message.content);\n }\n }\n if (tool_calls) {\n if (!choice.message.tool_calls)\n choice.message.tool_calls = [];\n for (const { index, id, type, function: fn, ...rest } of tool_calls) {\n const tool_call = ((_d = choice.message.tool_calls)[index] ?? (_d[index] = {}));\n Object.assign(tool_call, rest);\n if (id)\n tool_call.id = id;\n if (type)\n tool_call.type = type;\n if (fn)\n tool_call.function ?? (tool_call.function = { name: fn.name ?? '', arguments: '' });\n if (fn?.name)\n tool_call.function.name = fn.name;\n if (fn?.arguments) {\n tool_call.function.arguments += fn.arguments;\n if (shouldParseToolCall(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"), tool_call)) {\n tool_call.function.parsed_arguments = partialParse(tool_call.function.arguments);\n }\n }\n }\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('chunk', (chunk) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(chunk);\n }\n else {\n pushQueue.push(chunk);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n}\nfunction finalizeChatCompletion(snapshot, params) {\n const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;\n const completion = {\n ...rest,\n id,\n choices: choices.map(({ message, finish_reason, index, logprobs, ...choiceRest }) => {\n if (!finish_reason) {\n throw new OpenAIError(`missing finish_reason for choice ${index}`);\n }\n const { content = null, function_call, tool_calls, ...messageRest } = message;\n const role = message.role; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine.\n if (!role) {\n throw new OpenAIError(`missing role for choice ${index}`);\n }\n if (function_call) {\n const { arguments: args, name } = function_call;\n if (args == null) {\n throw new OpenAIError(`missing function_call.arguments for choice ${index}`);\n }\n if (!name) {\n throw new OpenAIError(`missing function_call.name for choice ${index}`);\n }\n return {\n ...choiceRest,\n message: {\n content,\n function_call: { arguments: args, name },\n role,\n refusal: message.refusal ?? null,\n },\n finish_reason,\n index,\n logprobs,\n };\n }\n if (tool_calls) {\n return {\n ...choiceRest,\n index,\n finish_reason,\n logprobs,\n message: {\n ...messageRest,\n role,\n content,\n refusal: message.refusal ?? null,\n tool_calls: tool_calls.map((tool_call, i) => {\n const { function: fn, type, id, ...toolRest } = tool_call;\n const { arguments: args, name, ...fnRest } = fn || {};\n if (id == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\\n${str(snapshot)}`);\n }\n if (type == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\\n${str(snapshot)}`);\n }\n if (name == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.name\\n${str(snapshot)}`);\n }\n if (args == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.arguments\\n${str(snapshot)}`);\n }\n return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } };\n }),\n },\n };\n }\n return {\n ...choiceRest,\n message: { ...messageRest, content, role, refusal: message.refusal ?? null },\n finish_reason,\n index,\n logprobs,\n };\n }),\n created,\n model,\n object: 'chat.completion',\n ...(system_fingerprint ? { system_fingerprint } : {}),\n };\n return maybeParseChatCompletion(completion, params);\n}\nfunction str(x) {\n return JSON.stringify(x);\n}\n/**\n * Ensures the given argument is an empty object, useful for\n * asserting that all known properties on an object have been\n * destructured.\n */\nfunction assertIsEmpty(obj) {\n return;\n}\nfunction assertNever(_x) { }\n//# sourceMappingURL=ChatCompletionStream.mjs.map","import { ChatCompletionStream } from \"./ChatCompletionStream.mjs\";\nexport class ChatCompletionStreamingRunner extends ChatCompletionStream {\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStreamingRunner(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static runTools(client, params, options) {\n const runner = new ChatCompletionStreamingRunner(\n // @ts-expect-error TODO these types are incompatible\n params);\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n}\n//# sourceMappingURL=ChatCompletionStreamingRunner.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages } from \"./messages.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nimport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nimport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nimport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nimport { parseChatCompletion, validateInputTools } from \"../../../lib/parser.mjs\";\nexport class Completions extends APIResource {\n constructor() {\n super(...arguments);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n create(body, options) {\n return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false });\n }\n /**\n * Get a stored chat completion. Only Chat Completions that have been created with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * const chatCompletion =\n * await client.chat.completions.retrieve('completion_id');\n * ```\n */\n retrieve(completionID, options) {\n return this._client.get(path `/chat/completions/${completionID}`, options);\n }\n /**\n * Modify a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be modified. Currently, the only\n * supported modification is to update the `metadata` field.\n *\n * @example\n * ```ts\n * const chatCompletion = await client.chat.completions.update(\n * 'completion_id',\n * { metadata: { foo: 'string' } },\n * );\n * ```\n */\n update(completionID, body, options) {\n return this._client.post(path `/chat/completions/${completionID}`, { body, ...options });\n }\n /**\n * List stored Chat Completions. Only Chat Completions that have been stored with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletion of client.chat.completions.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/chat/completions', (CursorPage), { query, ...options });\n }\n /**\n * Delete a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be deleted.\n *\n * @example\n * ```ts\n * const chatCompletionDeleted =\n * await client.chat.completions.delete('completion_id');\n * ```\n */\n delete(completionID, options) {\n return this._client.delete(path `/chat/completions/${completionID}`, options);\n }\n parse(body, options) {\n validateInputTools(body.tools);\n return this._client.chat.completions\n .create(body, {\n ...options,\n headers: {\n ...options?.headers,\n 'X-Stainless-Helper-Method': 'chat.completions.parse',\n },\n })\n ._thenUnwrap((completion) => parseChatCompletion(completion, body));\n }\n runTools(body, options) {\n if (body.stream) {\n return ChatCompletionStreamingRunner.runTools(this._client, body, options);\n }\n return ChatCompletionRunner.runTools(this._client, body, options);\n }\n /**\n * Creates a chat completion stream\n */\n stream(body, options) {\n return ChatCompletionStream.createChatCompletion(this._client, body, options);\n }\n}\nexport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nexport { ParsingToolFunction, } from \"../../../lib/RunnableFunction.mjs\";\nexport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nexport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nCompletions.Messages = Messages;\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as CompletionsAPI from \"./completions/completions.mjs\";\nimport { Completions, } from \"./completions/completions.mjs\";\nexport class Chat extends APIResource {\n constructor() {\n super(...arguments);\n this.completions = new CompletionsAPI.Completions(this._client);\n }\n}\nChat.Completions = Completions;\n//# sourceMappingURL=chat.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { isReadonlyArray } from \"./utils/values.mjs\";\nconst brand_privateNullableHeaders = /* @__PURE__ */ Symbol('brand.privateNullableHeaders');\nfunction* iterateHeaders(headers) {\n if (!headers)\n return;\n if (brand_privateNullableHeaders in headers) {\n const { values, nulls } = headers;\n yield* values.entries();\n for (const name of nulls) {\n yield [name, null];\n }\n return;\n }\n let shouldClear = false;\n let iter;\n if (headers instanceof Headers) {\n iter = headers.entries();\n }\n else if (isReadonlyArray(headers)) {\n iter = headers;\n }\n else {\n shouldClear = true;\n iter = Object.entries(headers ?? {});\n }\n for (let row of iter) {\n const name = row[0];\n if (typeof name !== 'string')\n throw new TypeError('expected header name to be a string');\n const values = isReadonlyArray(row[1]) ? row[1] : [row[1]];\n let didClear = false;\n for (const value of values) {\n if (value === undefined)\n continue;\n // Objects keys always overwrite older headers, they never append.\n // Yield a null to clear the header before adding the new values.\n if (shouldClear && !didClear) {\n didClear = true;\n yield [name, null];\n }\n yield [name, value];\n }\n }\n}\nexport const buildHeaders = (newHeaders) => {\n const targetHeaders = new Headers();\n const nullHeaders = new Set();\n for (const headers of newHeaders) {\n const seenHeaders = new Set();\n for (const [name, value] of iterateHeaders(headers)) {\n const lowerName = name.toLowerCase();\n if (!seenHeaders.has(lowerName)) {\n targetHeaders.delete(name);\n seenHeaders.add(lowerName);\n }\n if (value === null) {\n targetHeaders.delete(name);\n nullHeaders.add(lowerName);\n }\n else {\n targetHeaders.append(name, value);\n nullHeaders.delete(lowerName);\n }\n }\n }\n return { [brand_privateNullableHeaders]: true, values: targetHeaders, nulls: nullHeaders };\n};\nexport const isEmptyHeaders = (headers) => {\n for (const _ of iterateHeaders(headers))\n return false;\n return true;\n};\n//# sourceMappingURL=headers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nexport class Speech extends APIResource {\n /**\n * Generates audio from the input text.\n *\n * @example\n * ```ts\n * const speech = await client.audio.speech.create({\n * input: 'input',\n * model: 'string',\n * voice: 'ash',\n * });\n *\n * const content = await speech.blob();\n * console.log(content);\n * ```\n */\n create(body, options) {\n return this._client.post('/audio/speech', {\n body,\n ...options,\n headers: buildHeaders([{ Accept: 'application/octet-stream' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=speech.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Transcriptions extends APIResource {\n create(body, options) {\n return this._client.post('/audio/transcriptions', multipartFormRequestOptions({\n body,\n ...options,\n stream: body.stream ?? false,\n __metadata: { model: body.model },\n }, this._client));\n }\n}\n//# sourceMappingURL=transcriptions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Translations extends APIResource {\n create(body, options) {\n return this._client.post('/audio/translations', multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }, this._client));\n }\n}\n//# sourceMappingURL=translations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as SpeechAPI from \"./speech.mjs\";\nimport { Speech } from \"./speech.mjs\";\nimport * as TranscriptionsAPI from \"./transcriptions.mjs\";\nimport { Transcriptions, } from \"./transcriptions.mjs\";\nimport * as TranslationsAPI from \"./translations.mjs\";\nimport { Translations, } from \"./translations.mjs\";\nexport class Audio extends APIResource {\n constructor() {\n super(...arguments);\n this.transcriptions = new TranscriptionsAPI.Transcriptions(this._client);\n this.translations = new TranslationsAPI.Translations(this._client);\n this.speech = new SpeechAPI.Speech(this._client);\n }\n}\nAudio.Transcriptions = Transcriptions;\nAudio.Translations = Translations;\nAudio.Speech = Speech;\n//# sourceMappingURL=audio.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Batches extends APIResource {\n /**\n * Creates and executes a batch from an uploaded file of requests\n */\n create(body, options) {\n return this._client.post('/batches', { body, ...options });\n }\n /**\n * Retrieves a batch.\n */\n retrieve(batchID, options) {\n return this._client.get(path `/batches/${batchID}`, options);\n }\n /**\n * List your organization's batches.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/batches', (CursorPage), { query, ...options });\n }\n /**\n * Cancels an in-progress batch. The batch will be in status `cancelling` for up to\n * 10 minutes, before changing to `cancelled`, where it will have partial results\n * (if any) available in the output file.\n */\n cancel(batchID, options) {\n return this._client.post(path `/batches/${batchID}/cancel`, options);\n }\n}\n//# sourceMappingURL=batches.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Assistants extends APIResource {\n /**\n * Create an assistant with a model and instructions.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.create({\n * model: 'gpt-4o',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/assistants', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.retrieve(\n * 'assistant_id',\n * );\n * ```\n */\n retrieve(assistantID, options) {\n return this._client.get(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.update(\n * 'assistant_id',\n * );\n * ```\n */\n update(assistantID, body, options) {\n return this._client.post(path `/assistants/${assistantID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of assistants.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const assistant of client.beta.assistants.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/assistants', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete an assistant.\n *\n * @example\n * ```ts\n * const assistantDeleted =\n * await client.beta.assistants.delete('assistant_id');\n * ```\n */\n delete(assistantID, options) {\n return this._client.delete(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=assistants.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class Sessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API. Can be configured with the same session parameters as the\n * `session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const session =\n * await client.beta.realtime.sessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class TranscriptionSessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API specifically for realtime transcriptions. Can be configured with\n * the same session parameters as the `transcription_session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const transcriptionSession =\n * await client.beta.realtime.transcriptionSessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/transcription_sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=transcription-sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as SessionsAPI from \"./sessions.mjs\";\nimport { Sessions, } from \"./sessions.mjs\";\nimport * as TranscriptionSessionsAPI from \"./transcription-sessions.mjs\";\nimport { TranscriptionSessions, } from \"./transcription-sessions.mjs\";\n/**\n * @deprecated Realtime has now launched and is generally available. The old beta API is now deprecated.\n */\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.sessions = new SessionsAPI.Sessions(this._client);\n this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);\n }\n}\nRealtime.Sessions = Sessions;\nRealtime.TranscriptionSessions = TranscriptionSessions;\n//# sourceMappingURL=realtime.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Messages extends APIResource {\n /**\n * Create a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}/messages`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieve a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(messageID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(messageID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/messages/${messageID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of messages for a given thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/messages`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Deletes a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(messageID, params, options) {\n const { thread_id } = params;\n return this._client.delete(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=messages.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Steps extends APIResource {\n /**\n * Retrieves a run step.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(stepID, params, options) {\n const { thread_id, run_id, ...query } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${run_id}/steps/${stepID}`, {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of run steps belonging to a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(runID, params, options) {\n const { thread_id, ...query } = params;\n return this._client.getAPIList(path `/threads/${thread_id}/runs/${runID}/steps`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=steps.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\nimport { encodeUTF8 } from \"./bytes.mjs\";\nexport const toBase64 = (data) => {\n if (!data)\n return '';\n if (typeof globalThis.Buffer !== 'undefined') {\n return globalThis.Buffer.from(data).toString('base64');\n }\n if (typeof data === 'string') {\n data = encodeUTF8(data);\n }\n if (typeof btoa !== 'undefined') {\n return btoa(String.fromCharCode.apply(null, data));\n }\n throw new OpenAIError('Cannot generate base64 string; Expected `Buffer` or `btoa` to be defined');\n};\nexport const fromBase64 = (str) => {\n if (typeof globalThis.Buffer !== 'undefined') {\n const buf = globalThis.Buffer.from(str, 'base64');\n return new Uint8Array(buf.buffer, buf.byteOffset, buf.byteLength);\n }\n if (typeof atob !== 'undefined') {\n const bstr = atob(str);\n const buf = new Uint8Array(bstr.length);\n for (let i = 0; i < bstr.length; i++) {\n buf[i] = bstr.charCodeAt(i);\n }\n return buf;\n }\n throw new OpenAIError('Cannot decode base64 string; Expected `Buffer` or `atob` to be defined');\n};\n/**\n * Converts a Base64 encoded string to a Float32Array.\n * @param base64Str - The Base64 encoded string.\n * @returns An Array of numbers interpreted as Float32 values.\n */\nexport const toFloat32Array = (base64Str) => {\n if (typeof Buffer !== 'undefined') {\n // for Node.js environment\n const buf = Buffer.from(base64Str, 'base64');\n return Array.from(new Float32Array(buf.buffer, buf.byteOffset, buf.length / Float32Array.BYTES_PER_ELEMENT));\n }\n else {\n // for legacy web platform APIs\n const binaryStr = atob(base64Str);\n const len = binaryStr.length;\n const bytes = new Uint8Array(len);\n for (let i = 0; i < len; i++) {\n bytes[i] = binaryStr.charCodeAt(i);\n }\n return Array.from(new Float32Array(bytes.buffer));\n }\n};\n//# sourceMappingURL=base64.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * Read an environment variable.\n *\n * Trims beginning and trailing whitespace.\n *\n * Will return undefined if the environment variable doesn't exist or cannot be accessed.\n */\nexport const readEnv = (env) => {\n if (typeof globalThis.process !== 'undefined') {\n return globalThis.process.env?.[env]?.trim() ?? undefined;\n }\n if (typeof globalThis.Deno !== 'undefined') {\n return globalThis.Deno.env?.get?.(env)?.trim();\n }\n return undefined;\n};\n//# sourceMappingURL=env.mjs.map","var _AssistantStream_instances, _a, _AssistantStream_events, _AssistantStream_runStepSnapshots, _AssistantStream_messageSnapshots, _AssistantStream_messageSnapshot, _AssistantStream_finalRun, _AssistantStream_currentContentIndex, _AssistantStream_currentContent, _AssistantStream_currentToolCallIndex, _AssistantStream_currentToolCall, _AssistantStream_currentEvent, _AssistantStream_currentRunSnapshot, _AssistantStream_currentRunStepSnapshot, _AssistantStream_addEvent, _AssistantStream_endRequest, _AssistantStream_handleMessage, _AssistantStream_handleRunStep, _AssistantStream_handleEvent, _AssistantStream_accumulateRunStep, _AssistantStream_accumulateMessage, _AssistantStream_accumulateContent, _AssistantStream_handleRun;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isObj } from \"../internal/utils.mjs\";\nexport class AssistantStream extends EventStream {\n constructor() {\n super(...arguments);\n _AssistantStream_instances.add(this);\n //Track all events in a single list for reference\n _AssistantStream_events.set(this, []);\n //Used to accumulate deltas\n //We are accumulating many types so the value here is not strict\n _AssistantStream_runStepSnapshots.set(this, {});\n _AssistantStream_messageSnapshots.set(this, {});\n _AssistantStream_messageSnapshot.set(this, void 0);\n _AssistantStream_finalRun.set(this, void 0);\n _AssistantStream_currentContentIndex.set(this, void 0);\n _AssistantStream_currentContent.set(this, void 0);\n _AssistantStream_currentToolCallIndex.set(this, void 0);\n _AssistantStream_currentToolCall.set(this, void 0);\n //For current snapshot methods\n _AssistantStream_currentEvent.set(this, void 0);\n _AssistantStream_currentRunSnapshot.set(this, void 0);\n _AssistantStream_currentRunStepSnapshot.set(this, void 0);\n }\n [(_AssistantStream_events = new WeakMap(), _AssistantStream_runStepSnapshots = new WeakMap(), _AssistantStream_messageSnapshots = new WeakMap(), _AssistantStream_messageSnapshot = new WeakMap(), _AssistantStream_finalRun = new WeakMap(), _AssistantStream_currentContentIndex = new WeakMap(), _AssistantStream_currentContent = new WeakMap(), _AssistantStream_currentToolCallIndex = new WeakMap(), _AssistantStream_currentToolCall = new WeakMap(), _AssistantStream_currentEvent = new WeakMap(), _AssistantStream_currentRunSnapshot = new WeakMap(), _AssistantStream_currentRunStepSnapshot = new WeakMap(), _AssistantStream_instances = new WeakSet(), Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n //Catch all for passing along all events\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n static fromReadableStream(stream) {\n const runner = new _a();\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n static createToolAssistantStream(runId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runToolAssistantStream(runId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createToolAssistantStream(run, runId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.submitToolOutputs(runId, body, {\n ...options,\n signal: this.controller.signal,\n });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static createThreadAssistantStream(params, thread, options) {\n const runner = new _a();\n runner._run(() => runner._threadAssistantStream(params, thread, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n static createAssistantStream(threadId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runAssistantStream(threadId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n currentEvent() {\n return __classPrivateFieldGet(this, _AssistantStream_currentEvent, \"f\");\n }\n currentRun() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunSnapshot, \"f\");\n }\n currentMessageSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\");\n }\n currentRunStepSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunStepSnapshot, \"f\");\n }\n async finalRunSteps() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\"));\n }\n async finalMessages() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\"));\n }\n async finalRun() {\n await this.done();\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run was not received.');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n }\n async _createThreadAssistantStream(thread, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await thread.createAndRun(body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n async _createAssistantStream(run, threadId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.create(threadId, body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static accumulateDelta(acc, delta) {\n for (const [key, deltaValue] of Object.entries(delta)) {\n if (!acc.hasOwnProperty(key)) {\n acc[key] = deltaValue;\n continue;\n }\n let accValue = acc[key];\n if (accValue === null || accValue === undefined) {\n acc[key] = deltaValue;\n continue;\n }\n // We don't accumulate these special properties\n if (key === 'index' || key === 'type') {\n acc[key] = deltaValue;\n continue;\n }\n // Type-specific accumulation logic\n if (typeof accValue === 'string' && typeof deltaValue === 'string') {\n accValue += deltaValue;\n }\n else if (typeof accValue === 'number' && typeof deltaValue === 'number') {\n accValue += deltaValue;\n }\n else if (isObj(accValue) && isObj(deltaValue)) {\n accValue = this.accumulateDelta(accValue, deltaValue);\n }\n else if (Array.isArray(accValue) && Array.isArray(deltaValue)) {\n if (accValue.every((x) => typeof x === 'string' || typeof x === 'number')) {\n accValue.push(...deltaValue); // Use spread syntax for efficient addition\n continue;\n }\n for (const deltaEntry of deltaValue) {\n if (!isObj(deltaEntry)) {\n throw new Error(`Expected array delta entry to be an object but got: ${deltaEntry}`);\n }\n const index = deltaEntry['index'];\n if (index == null) {\n console.error(deltaEntry);\n throw new Error('Expected array delta entry to have an `index` property');\n }\n if (typeof index !== 'number') {\n throw new Error(`Expected array delta entry \\`index\\` property to be a number but got ${index}`);\n }\n const accEntry = accValue[index];\n if (accEntry == null) {\n accValue.push(deltaEntry);\n }\n else {\n accValue[index] = this.accumulateDelta(accEntry, deltaEntry);\n }\n }\n continue;\n }\n else {\n throw Error(`Unhandled record type: ${key}, deltaValue: ${deltaValue}, accValue: ${accValue}`);\n }\n acc[key] = accValue;\n }\n return acc;\n }\n _addRun(run) {\n return run;\n }\n async _threadAssistantStream(params, thread, options) {\n return await this._createThreadAssistantStream(thread, params, options);\n }\n async _runAssistantStream(threadId, runs, params, options) {\n return await this._createAssistantStream(runs, threadId, params, options);\n }\n async _runToolAssistantStream(runId, runs, params, options) {\n return await this._createToolAssistantStream(runs, runId, params, options);\n }\n}\n_a = AssistantStream, _AssistantStream_addEvent = function _AssistantStream_addEvent(event) {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _AssistantStream_currentEvent, event, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleEvent).call(this, event);\n switch (event.event) {\n case 'thread.created':\n //No action on this event.\n break;\n case 'thread.run.created':\n case 'thread.run.queued':\n case 'thread.run.in_progress':\n case 'thread.run.requires_action':\n case 'thread.run.completed':\n case 'thread.run.incomplete':\n case 'thread.run.failed':\n case 'thread.run.cancelling':\n case 'thread.run.cancelled':\n case 'thread.run.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRun).call(this, event);\n break;\n case 'thread.run.step.created':\n case 'thread.run.step.in_progress':\n case 'thread.run.step.delta':\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRunStep).call(this, event);\n break;\n case 'thread.message.created':\n case 'thread.message.in_progress':\n case 'thread.message.delta':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleMessage).call(this, event);\n break;\n case 'error':\n //This is included for completeness, but errors are processed in the SSE event processing so this should not occur\n throw new Error('Encountered an error event in event processing - errors should be processed earlier');\n default:\n assertNever(event);\n }\n}, _AssistantStream_endRequest = function _AssistantStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run has not been received');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n}, _AssistantStream_handleMessage = function _AssistantStream_handleMessage(event) {\n const [accumulatedMessage, newContent] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateMessage).call(this, event, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, accumulatedMessage, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\")[accumulatedMessage.id] = accumulatedMessage;\n for (const content of newContent) {\n const snapshotContent = accumulatedMessage.content[content.index];\n if (snapshotContent?.type == 'text') {\n this._emit('textCreated', snapshotContent.text);\n }\n }\n switch (event.event) {\n case 'thread.message.created':\n this._emit('messageCreated', event.data);\n break;\n case 'thread.message.in_progress':\n break;\n case 'thread.message.delta':\n this._emit('messageDelta', event.data.delta, accumulatedMessage);\n if (event.data.delta.content) {\n for (const content of event.data.delta.content) {\n //If it is text delta, emit a text delta event\n if (content.type == 'text' && content.text) {\n let textDelta = content.text;\n let snapshot = accumulatedMessage.content[content.index];\n if (snapshot && snapshot.type == 'text') {\n this._emit('textDelta', textDelta, snapshot.text);\n }\n else {\n throw Error('The snapshot associated with this text delta is not text or missing');\n }\n }\n if (content.index != __classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")) {\n //See if we have in progress content\n if (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\")) {\n switch (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").type) {\n case 'text':\n this._emit('textDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'image_file':\n this._emit('imageFileDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContentIndex, content.index, \"f\");\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContent, accumulatedMessage.content[content.index], \"f\");\n }\n }\n break;\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //We emit the latest content we were working on on completion (including incomplete)\n if (__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\") !== undefined) {\n const currentContent = event.data.content[__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")];\n if (currentContent) {\n switch (currentContent.type) {\n case 'image_file':\n this._emit('imageFileDone', currentContent.image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'text':\n this._emit('textDone', currentContent.text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n }\n if (__classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\")) {\n this._emit('messageDone', event.data);\n }\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, undefined, \"f\");\n }\n}, _AssistantStream_handleRunStep = function _AssistantStream_handleRunStep(event) {\n const accumulatedRunStep = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateRunStep).call(this, event);\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, accumulatedRunStep, \"f\");\n switch (event.event) {\n case 'thread.run.step.created':\n this._emit('runStepCreated', event.data);\n break;\n case 'thread.run.step.delta':\n const delta = event.data.delta;\n if (delta.step_details &&\n delta.step_details.type == 'tool_calls' &&\n delta.step_details.tool_calls &&\n accumulatedRunStep.step_details.type == 'tool_calls') {\n for (const toolCall of delta.step_details.tool_calls) {\n if (toolCall.index == __classPrivateFieldGet(this, _AssistantStream_currentToolCallIndex, \"f\")) {\n this._emit('toolCallDelta', toolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index]);\n }\n else {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n __classPrivateFieldSet(this, _AssistantStream_currentToolCallIndex, toolCall.index, \"f\");\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index], \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"))\n this._emit('toolCallCreated', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n }\n }\n this._emit('runStepDelta', event.data.delta, accumulatedRunStep);\n break;\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, undefined, \"f\");\n const details = event.data.step_details;\n if (details.type == 'tool_calls') {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n }\n this._emit('runStepDone', event.data, accumulatedRunStep);\n break;\n case 'thread.run.step.in_progress':\n break;\n }\n}, _AssistantStream_handleEvent = function _AssistantStream_handleEvent(event) {\n __classPrivateFieldGet(this, _AssistantStream_events, \"f\").push(event);\n this._emit('event', event);\n}, _AssistantStream_accumulateRunStep = function _AssistantStream_accumulateRunStep(event) {\n switch (event.event) {\n case 'thread.run.step.created':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n return event.data;\n case 'thread.run.step.delta':\n let snapshot = __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n if (!snapshot) {\n throw Error('Received a RunStepDelta before creation of a snapshot');\n }\n let data = event.data;\n if (data.delta) {\n const accumulated = _a.accumulateDelta(snapshot, data.delta);\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = accumulated;\n }\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n case 'thread.run.step.in_progress':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n break;\n }\n if (__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id])\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n throw new Error('No snapshot available');\n}, _AssistantStream_accumulateMessage = function _AssistantStream_accumulateMessage(event, snapshot) {\n let newContent = [];\n switch (event.event) {\n case 'thread.message.created':\n //On creation the snapshot is just the initial message\n return [event.data, newContent];\n case 'thread.message.delta':\n if (!snapshot) {\n throw Error('Received a delta with no existing snapshot (there should be one from message creation)');\n }\n let data = event.data;\n //If this delta does not have content, nothing to process\n if (data.delta.content) {\n for (const contentElement of data.delta.content) {\n if (contentElement.index in snapshot.content) {\n let currentContent = snapshot.content[contentElement.index];\n snapshot.content[contentElement.index] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateContent).call(this, contentElement, currentContent);\n }\n else {\n snapshot.content[contentElement.index] = contentElement;\n // This is a new element\n newContent.push(contentElement);\n }\n }\n }\n return [snapshot, newContent];\n case 'thread.message.in_progress':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //No changes on other thread events\n if (snapshot) {\n return [snapshot, newContent];\n }\n else {\n throw Error('Received thread message event with no existing snapshot');\n }\n }\n throw Error('Tried to accumulate a non-message event');\n}, _AssistantStream_accumulateContent = function _AssistantStream_accumulateContent(contentElement, currentContent) {\n return _a.accumulateDelta(currentContent, contentElement);\n}, _AssistantStream_handleRun = function _AssistantStream_handleRun(event) {\n __classPrivateFieldSet(this, _AssistantStream_currentRunSnapshot, event.data, \"f\");\n switch (event.event) {\n case 'thread.run.created':\n break;\n case 'thread.run.queued':\n break;\n case 'thread.run.in_progress':\n break;\n case 'thread.run.requires_action':\n case 'thread.run.cancelled':\n case 'thread.run.failed':\n case 'thread.run.completed':\n case 'thread.run.expired':\n case 'thread.run.incomplete':\n __classPrivateFieldSet(this, _AssistantStream_finalRun, event.data, \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n break;\n case 'thread.run.cancelling':\n break;\n }\n};\nfunction assertNever(_x) { }\n//# sourceMappingURL=AssistantStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport * as StepsAPI from \"./steps.mjs\";\nimport { Steps, } from \"./steps.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../../lib/AssistantStream.mjs\";\nimport { sleep } from \"../../../../internal/utils/sleep.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.steps = new StepsAPI.Steps(this._client);\n }\n create(threadID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/threads/${threadID}/runs`, {\n query: { include },\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * Retrieves a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(runID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${runID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of runs belonging to a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/runs`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancels a run that is `in_progress`.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n cancel(runID, params, options) {\n const { thread_id } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * A helper to create a run an poll for a terminal state. More information on Run\n * lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndPoll(threadId, body, options) {\n const run = await this.create(threadId, body, options);\n return await this.poll(run.id, { thread_id: threadId }, options);\n }\n /**\n * Create a Run stream\n *\n * @deprecated use `stream` instead\n */\n createAndStream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n /**\n * A helper to poll a run status until it reaches a terminal state. More\n * information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async poll(runId, params, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: run, response } = await this.retrieve(runId, params, {\n ...options,\n headers: { ...options?.headers, ...headers },\n }).withResponse();\n switch (run.status) {\n //If we are in any sort of intermediate state we poll\n case 'queued':\n case 'in_progress':\n case 'cancelling':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n //We return the run in any terminal state.\n case 'requires_action':\n case 'incomplete':\n case 'cancelled':\n case 'completed':\n case 'failed':\n case 'expired':\n return run;\n }\n }\n }\n /**\n * Create a Run stream\n */\n stream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n submitToolOutputs(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/submit_tool_outputs`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * A helper to submit a tool output to a run and poll for a terminal run state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async submitToolOutputsAndPoll(runId, params, options) {\n const run = await this.submitToolOutputs(runId, params, options);\n return await this.poll(run.id, params, options);\n }\n /**\n * Submit the tool outputs from a previous run and stream the run to a terminal\n * state. More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n submitToolOutputsStream(runId, params, options) {\n return AssistantStream.createToolAssistantStream(runId, this._client.beta.threads.runs, params, options);\n }\n}\nRuns.Steps = Steps;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages, } from \"./messages.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../lib/AssistantStream.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Threads extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n /**\n * Create a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(body = {}, options) {\n return this._client.post('/threads', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(threadID, options) {\n return this._client.get(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(threadID, options) {\n return this._client.delete(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n createAndRun(body, options) {\n return this._client.post('/threads/runs', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: body.stream ?? false,\n });\n }\n /**\n * A helper to create a thread, start a run and then poll for a terminal state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndRunPoll(body, options) {\n const run = await this.createAndRun(body, options);\n return await this.runs.poll(run.id, { thread_id: run.thread_id }, options);\n }\n /**\n * Create a thread and stream the run back\n */\n createAndRunStream(body, options) {\n return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options);\n }\n}\nThreads.Runs = Runs;\nThreads.Messages = Messages;\n//# sourceMappingURL=threads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as AssistantsAPI from \"./assistants.mjs\";\nimport { Assistants, } from \"./assistants.mjs\";\nimport * as RealtimeAPI from \"./realtime/realtime.mjs\";\nimport { Realtime, } from \"./realtime/realtime.mjs\";\nimport * as ThreadsAPI from \"./threads/threads.mjs\";\nimport { Threads, } from \"./threads/threads.mjs\";\nexport class Beta extends APIResource {\n constructor() {\n super(...arguments);\n this.realtime = new RealtimeAPI.Realtime(this._client);\n this.assistants = new AssistantsAPI.Assistants(this._client);\n this.threads = new ThreadsAPI.Threads(this._client);\n }\n}\nBeta.Realtime = Realtime;\nBeta.Assistants = Assistants;\nBeta.Threads = Threads;\n//# sourceMappingURL=beta.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Completions extends APIResource {\n create(body, options) {\n return this._client.post('/completions', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Content extends APIResource {\n /**\n * Retrieve Container File Content\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=content.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as ContentAPI from \"./content.mjs\";\nimport { Content } from \"./content.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { multipartFormRequestOptions } from \"../../../internal/uploads.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n constructor() {\n super(...arguments);\n this.content = new ContentAPI.Content(this._client);\n }\n /**\n * Create a Container File\n *\n * You can send either a multipart/form-data request with the raw file content, or\n * a JSON request with a file ID.\n */\n create(containerID, body, options) {\n return this._client.post(path `/containers/${containerID}/files`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Retrieve Container File\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}`, options);\n }\n /**\n * List Container files\n */\n list(containerID, query = {}, options) {\n return this._client.getAPIList(path `/containers/${containerID}/files`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete Container File\n */\n delete(fileID, params, options) {\n const { container_id } = params;\n return this._client.delete(path `/containers/${container_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nFiles.Content = Content;\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FilesAPI from \"./files/files.mjs\";\nimport { Files, } from \"./files/files.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Containers extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n }\n /**\n * Create Container\n */\n create(body, options) {\n return this._client.post('/containers', { body, ...options });\n }\n /**\n * Retrieve Container\n */\n retrieve(containerID, options) {\n return this._client.get(path `/containers/${containerID}`, options);\n }\n /**\n * List Containers\n */\n list(query = {}, options) {\n return this._client.getAPIList('/containers', (CursorPage), { query, ...options });\n }\n /**\n * Delete Container\n */\n delete(containerID, options) {\n return this._client.delete(path `/containers/${containerID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nContainers.Files = Files;\n//# sourceMappingURL=containers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { ConversationCursorPage, } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Items extends APIResource {\n /**\n * Create items in a conversation with the given ID.\n */\n create(conversationID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/conversations/${conversationID}/items`, {\n query: { include },\n body,\n ...options,\n });\n }\n /**\n * Get a single item from a conversation with the given IDs.\n */\n retrieve(itemID, params, options) {\n const { conversation_id, ...query } = params;\n return this._client.get(path `/conversations/${conversation_id}/items/${itemID}`, { query, ...options });\n }\n /**\n * List all items for a conversation with the given ID.\n */\n list(conversationID, query = {}, options) {\n return this._client.getAPIList(path `/conversations/${conversationID}/items`, (ConversationCursorPage), { query, ...options });\n }\n /**\n * Delete an item from a conversation with the given IDs.\n */\n delete(itemID, params, options) {\n const { conversation_id } = params;\n return this._client.delete(path `/conversations/${conversation_id}/items/${itemID}`, options);\n }\n}\n//# sourceMappingURL=items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ItemsAPI from \"./items.mjs\";\nimport { Items, } from \"./items.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Conversations extends APIResource {\n constructor() {\n super(...arguments);\n this.items = new ItemsAPI.Items(this._client);\n }\n /**\n * Create a conversation.\n */\n create(body = {}, options) {\n return this._client.post('/conversations', { body, ...options });\n }\n /**\n * Get a conversation\n */\n retrieve(conversationID, options) {\n return this._client.get(path `/conversations/${conversationID}`, options);\n }\n /**\n * Update a conversation\n */\n update(conversationID, body, options) {\n return this._client.post(path `/conversations/${conversationID}`, { body, ...options });\n }\n /**\n * Delete a conversation. Items in the conversation will not be deleted.\n */\n delete(conversationID, options) {\n return this._client.delete(path `/conversations/${conversationID}`, options);\n }\n}\nConversations.Items = Items;\n//# sourceMappingURL=conversations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { loggerFor, toFloat32Array } from \"../internal/utils.mjs\";\nexport class Embeddings extends APIResource {\n /**\n * Creates an embedding vector representing the input text.\n *\n * @example\n * ```ts\n * const createEmbeddingResponse =\n * await client.embeddings.create({\n * input: 'The quick brown fox jumped over the lazy dog',\n * model: 'text-embedding-3-small',\n * });\n * ```\n */\n create(body, options) {\n const hasUserProvidedEncodingFormat = !!body.encoding_format;\n // No encoding_format specified, defaulting to base64 for performance reasons\n // See https://github.com/openai/openai-node/pull/1312\n let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';\n if (hasUserProvidedEncodingFormat) {\n loggerFor(this._client).debug('embeddings/user defined encoding_format:', body.encoding_format);\n }\n const response = this._client.post('/embeddings', {\n body: {\n ...body,\n encoding_format: encoding_format,\n },\n ...options,\n });\n // if the user specified an encoding_format, return the response as-is\n if (hasUserProvidedEncodingFormat) {\n return response;\n }\n // in this stage, we are sure the user did not specify an encoding_format\n // and we defaulted to base64 for performance reasons\n // we are sure then that the response is base64 encoded, let's decode it\n // the returned result will be a float32 array since this is OpenAI API's default encoding\n loggerFor(this._client).debug('embeddings/decoding base64 embeddings from base64');\n return response._thenUnwrap((response) => {\n if (response && response.data) {\n response.data.forEach((embeddingBase64Obj) => {\n const embeddingBase64Str = embeddingBase64Obj.embedding;\n embeddingBase64Obj.embedding = toFloat32Array(embeddingBase64Str);\n });\n }\n return response;\n });\n }\n}\n//# sourceMappingURL=embeddings.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class OutputItems extends APIResource {\n /**\n * Get an evaluation run output item by ID.\n */\n retrieve(outputItemID, params, options) {\n const { eval_id, run_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);\n }\n /**\n * Get a list of output items for an evaluation run.\n */\n list(runID, params, options) {\n const { eval_id, ...query } = params;\n return this._client.getAPIList(path `/evals/${eval_id}/runs/${runID}/output_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=output-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as OutputItemsAPI from \"./output-items.mjs\";\nimport { OutputItems, } from \"./output-items.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.outputItems = new OutputItemsAPI.OutputItems(this._client);\n }\n /**\n * Kicks off a new run for a given evaluation, specifying the data source, and what\n * model configuration to use to test. The datasource will be validated against the\n * schema specified in the config of the evaluation.\n */\n create(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}/runs`, { body, ...options });\n }\n /**\n * Get an evaluation run by ID.\n */\n retrieve(runID, params, options) {\n const { eval_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Get a list of runs for an evaluation.\n */\n list(evalID, query = {}, options) {\n return this._client.getAPIList(path `/evals/${evalID}/runs`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete an eval run.\n */\n delete(runID, params, options) {\n const { eval_id } = params;\n return this._client.delete(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Cancel an ongoing evaluation run.\n */\n cancel(runID, params, options) {\n const { eval_id } = params;\n return this._client.post(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n}\nRuns.OutputItems = OutputItems;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Evals extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n }\n /**\n * Create the structure of an evaluation that can be used to test a model's\n * performance. An evaluation is a set of testing criteria and the config for a\n * data source, which dictates the schema of the data used in the evaluation. After\n * creating an evaluation, you can run it on different models and model parameters.\n * We support several types of graders and datasources. For more information, see\n * the [Evals guide](https://platform.openai.com/docs/guides/evals).\n */\n create(body, options) {\n return this._client.post('/evals', { body, ...options });\n }\n /**\n * Get an evaluation by ID.\n */\n retrieve(evalID, options) {\n return this._client.get(path `/evals/${evalID}`, options);\n }\n /**\n * Update certain properties of an evaluation.\n */\n update(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}`, { body, ...options });\n }\n /**\n * List evaluations for a project.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/evals', (CursorPage), { query, ...options });\n }\n /**\n * Delete an evaluation.\n */\n delete(evalID, options) {\n return this._client.delete(path `/evals/${evalID}`, options);\n }\n}\nEvals.Runs = Runs;\n//# sourceMappingURL=evals.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nimport { sleep } from \"../internal/utils/sleep.mjs\";\nimport { APIConnectionTimeoutError } from \"../error.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Upload a file that can be used across various endpoints. Individual files can be\n * up to 512 MB, and the size of all files uploaded by one organization can be up\n * to 1 TB.\n *\n * The Assistants API supports files up to 2 million tokens and of specific file\n * types. See the\n * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for\n * details.\n *\n * The Fine-tuning API only supports `.jsonl` files. The input also has certain\n * required formats for fine-tuning\n * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or\n * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)\n * models.\n *\n * The Batch API only supports `.jsonl` files up to 200 MB in size. The input also\n * has a specific required\n * [format](https://platform.openai.com/docs/api-reference/batch/request-input).\n *\n * Please [contact us](https://help.openai.com/) if you need to increase these\n * storage limits.\n */\n create(body, options) {\n return this._client.post('/files', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Returns information about a specific file.\n */\n retrieve(fileID, options) {\n return this._client.get(path `/files/${fileID}`, options);\n }\n /**\n * Returns a list of files.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/files', (CursorPage), { query, ...options });\n }\n /**\n * Delete a file.\n */\n delete(fileID, options) {\n return this._client.delete(path `/files/${fileID}`, options);\n }\n /**\n * Returns the contents of the specified file.\n */\n content(fileID, options) {\n return this._client.get(path `/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n /**\n * Waits for the given file to be processed, default timeout is 30 mins.\n */\n async waitForProcessing(id, { pollInterval = 5000, maxWait = 30 * 60 * 1000 } = {}) {\n const TERMINAL_STATES = new Set(['processed', 'error', 'deleted']);\n const start = Date.now();\n let file = await this.retrieve(id);\n while (!file.status || !TERMINAL_STATES.has(file.status)) {\n await sleep(pollInterval);\n file = await this.retrieve(id);\n if (Date.now() - start > maxWait) {\n throw new APIConnectionTimeoutError({\n message: `Giving up on waiting for file ${id} to finish processing after ${maxWait} milliseconds.`,\n });\n }\n }\n return file;\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class Methods extends APIResource {\n}\n//# sourceMappingURL=methods.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nexport class Graders extends APIResource {\n /**\n * Run a grader.\n *\n * @example\n * ```ts\n * const response = await client.fineTuning.alpha.graders.run({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * model_sample: 'model_sample',\n * });\n * ```\n */\n run(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/run', { body, ...options });\n }\n /**\n * Validate a grader.\n *\n * @example\n * ```ts\n * const response =\n * await client.fineTuning.alpha.graders.validate({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * });\n * ```\n */\n validate(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options });\n }\n}\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as GradersAPI from \"./graders.mjs\";\nimport { Graders, } from \"./graders.mjs\";\nexport class Alpha extends APIResource {\n constructor() {\n super(...arguments);\n this.graders = new GradersAPI.Graders(this._client);\n }\n}\nAlpha.Graders = Graders;\n//# sourceMappingURL=alpha.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { Page } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Permissions extends APIResource {\n /**\n * **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).\n *\n * This enables organization owners to share fine-tuned models with other projects\n * in their organization.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const permissionCreateResponse of client.fineTuning.checkpoints.permissions.create(\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * { project_ids: ['string'] },\n * )) {\n * // ...\n * }\n * ```\n */\n create(fineTunedModelCheckpoint, body, options) {\n return this._client.getAPIList(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, (Page), { body, method: 'post', ...options });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to view all permissions for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTunedModelCheckpoint, query = {}, options) {\n return this._client.get(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, {\n query,\n ...options,\n });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to delete a permission for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.delete(\n * 'cp_zc4Q7MP6XxulcVzj4MZdwsAB',\n * {\n * fine_tuned_model_checkpoint:\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * },\n * );\n * ```\n */\n delete(permissionID, params, options) {\n const { fine_tuned_model_checkpoint } = params;\n return this._client.delete(path `/fine_tuning/checkpoints/${fine_tuned_model_checkpoint}/permissions/${permissionID}`, options);\n }\n}\n//# sourceMappingURL=permissions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as PermissionsAPI from \"./permissions.mjs\";\nimport { Permissions, } from \"./permissions.mjs\";\nexport class Checkpoints extends APIResource {\n constructor() {\n super(...arguments);\n this.permissions = new PermissionsAPI.Permissions(this._client);\n }\n}\nCheckpoints.Permissions = Permissions;\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Checkpoints extends APIResource {\n /**\n * List checkpoints for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobCheckpoint of client.fineTuning.jobs.checkpoints.list(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n list(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/checkpoints`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints.mjs\";\nimport { Checkpoints, } from \"./checkpoints.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Jobs extends APIResource {\n constructor() {\n super(...arguments);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n }\n /**\n * Creates a fine-tuning job which begins the process of creating a new model from\n * a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.create({\n * model: 'gpt-4o-mini',\n * training_file: 'file-abc123',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/fine_tuning/jobs', { body, ...options });\n }\n /**\n * Get info about a fine-tuning job.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTuningJobID, options) {\n return this._client.get(path `/fine_tuning/jobs/${fineTuningJobID}`, options);\n }\n /**\n * List your organization's fine-tuning jobs\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJob of client.fineTuning.jobs.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/fine_tuning/jobs', (CursorPage), { query, ...options });\n }\n /**\n * Immediately cancel a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.cancel(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n cancel(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/cancel`, options);\n }\n /**\n * Get status updates for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n listEvents(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/events`, (CursorPage), { query, ...options });\n }\n /**\n * Pause a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.pause(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n pause(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/pause`, options);\n }\n /**\n * Resume a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.resume(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n resume(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/resume`, options);\n }\n}\nJobs.Checkpoints = Checkpoints;\n//# sourceMappingURL=jobs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as MethodsAPI from \"./methods.mjs\";\nimport { Methods, } from \"./methods.mjs\";\nimport * as AlphaAPI from \"./alpha/alpha.mjs\";\nimport { Alpha } from \"./alpha/alpha.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints/checkpoints.mjs\";\nimport { Checkpoints } from \"./checkpoints/checkpoints.mjs\";\nimport * as JobsAPI from \"./jobs/jobs.mjs\";\nimport { Jobs, } from \"./jobs/jobs.mjs\";\nexport class FineTuning extends APIResource {\n constructor() {\n super(...arguments);\n this.methods = new MethodsAPI.Methods(this._client);\n this.jobs = new JobsAPI.Jobs(this._client);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n this.alpha = new AlphaAPI.Alpha(this._client);\n }\n}\nFineTuning.Methods = Methods;\nFineTuning.Jobs = Jobs;\nFineTuning.Checkpoints = Checkpoints;\nFineTuning.Alpha = Alpha;\n//# sourceMappingURL=fine-tuning.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class GraderModels extends APIResource {\n}\n//# sourceMappingURL=grader-models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as GraderModelsAPI from \"./grader-models.mjs\";\nimport { GraderModels, } from \"./grader-models.mjs\";\nexport class Graders extends APIResource {\n constructor() {\n super(...arguments);\n this.graderModels = new GraderModelsAPI.GraderModels(this._client);\n }\n}\nGraders.GraderModels = GraderModels;\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nexport class Images extends APIResource {\n /**\n * Creates a variation of a given image. This endpoint only supports `dall-e-2`.\n *\n * @example\n * ```ts\n * const imagesResponse = await client.images.createVariation({\n * image: fs.createReadStream('otter.png'),\n * });\n * ```\n */\n createVariation(body, options) {\n return this._client.post('/images/variations', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n edit(body, options) {\n return this._client.post('/images/edits', multipartFormRequestOptions({ body, ...options, stream: body.stream ?? false }, this._client));\n }\n generate(body, options) {\n return this._client.post('/images/generations', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=images.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { Page } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Models extends APIResource {\n /**\n * Retrieves a model instance, providing basic information about the model such as\n * the owner and permissioning.\n */\n retrieve(model, options) {\n return this._client.get(path `/models/${model}`, options);\n }\n /**\n * Lists the currently available models, and provides basic information about each\n * one such as the owner and availability.\n */\n list(options) {\n return this._client.getAPIList('/models', (Page), options);\n }\n /**\n * Delete a fine-tuned model. You must have the Owner role in your organization to\n * delete a model.\n */\n delete(model, options) {\n return this._client.delete(path `/models/${model}`, options);\n }\n}\n//# sourceMappingURL=models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Moderations extends APIResource {\n /**\n * Classifies if text and/or image inputs are potentially harmful. Learn more in\n * the [moderation guide](https://platform.openai.com/docs/guides/moderation).\n */\n create(body, options) {\n return this._client.post('/moderations', { body, ...options });\n }\n}\n//# sourceMappingURL=moderations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class ClientSecrets extends APIResource {\n /**\n * Create a Realtime client secret with an associated session configuration.\n */\n create(body, options) {\n return this._client.post('/realtime/client_secrets', { body, ...options });\n }\n}\n//# sourceMappingURL=client-secrets.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ClientSecretsAPI from \"./client-secrets.mjs\";\nimport { ClientSecrets, } from \"./client-secrets.mjs\";\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.clientSecrets = new ClientSecretsAPI.ClientSecrets(this._client);\n }\n}\nRealtime.ClientSecrets = ClientSecrets;\n//# sourceMappingURL=realtime.mjs.map","import { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableResponseFormat } from \"../lib/parser.mjs\";\nexport function maybeParseResponse(response, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...response,\n output_parsed: null,\n output: response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: null,\n };\n }\n if (item.type === 'message') {\n return {\n ...item,\n content: item.content.map((content) => ({\n ...content,\n parsed: null,\n })),\n };\n }\n else {\n return item;\n }\n }),\n };\n }\n return parseResponse(response, params);\n}\nexport function parseResponse(response, params) {\n const output = response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: parseToolCall(params, item),\n };\n }\n if (item.type === 'message') {\n const content = item.content.map((content) => {\n if (content.type === 'output_text') {\n return {\n ...content,\n parsed: parseTextFormat(params, content.text),\n };\n }\n return content;\n });\n return {\n ...item,\n content,\n };\n }\n return item;\n });\n const parsed = Object.assign({}, response, { output });\n if (!Object.getOwnPropertyDescriptor(response, 'output_text')) {\n addOutputText(parsed);\n }\n Object.defineProperty(parsed, 'output_parsed', {\n enumerable: true,\n get() {\n for (const output of parsed.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text' && content.parsed !== null) {\n return content.parsed;\n }\n }\n }\n return null;\n },\n });\n return parsed;\n}\nfunction parseTextFormat(params, content) {\n if (params.text?.format?.type !== 'json_schema') {\n return null;\n }\n if ('$parseRaw' in params.text?.format) {\n const text_format = params.text?.format;\n return text_format.$parseRaw(content);\n }\n return JSON.parse(content);\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.text?.format)) {\n return true;\n }\n return false;\n}\nexport function makeParseableResponseTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nfunction getInputToolByName(input_tools, name) {\n return input_tools.find((tool) => tool.type === 'function' && tool.name === name);\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return {\n ...toolCall,\n ...toolCall,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.arguments)\n : inputTool?.strict ? JSON.parse(toolCall.arguments)\n : null,\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params) {\n return false;\n }\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return isAutoParsableTool(inputTool) || inputTool?.strict || false;\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\nexport function addOutputText(rsp) {\n const texts = [];\n for (const output of rsp.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text') {\n texts.push(content.text);\n }\n }\n }\n rsp.output_text = texts.join('');\n}\n//# sourceMappingURL=ResponsesParser.mjs.map","var _ResponseStream_instances, _ResponseStream_params, _ResponseStream_currentResponseSnapshot, _ResponseStream_finalResponse, _ResponseStream_beginRequest, _ResponseStream_addEvent, _ResponseStream_endRequest, _ResponseStream_accumulateResponse;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../../error.mjs\";\nimport { EventStream } from \"../EventStream.mjs\";\nimport { maybeParseResponse } from \"../ResponsesParser.mjs\";\nexport class ResponseStream extends EventStream {\n constructor(params) {\n super();\n _ResponseStream_instances.add(this);\n _ResponseStream_params.set(this, void 0);\n _ResponseStream_currentResponseSnapshot.set(this, void 0);\n _ResponseStream_finalResponse.set(this, void 0);\n __classPrivateFieldSet(this, _ResponseStream_params, params, \"f\");\n }\n static createResponse(client, params, options) {\n const runner = new ResponseStream(params);\n runner._run(() => runner._createOrRetrieveResponse(client, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createOrRetrieveResponse(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_beginRequest).call(this);\n let stream;\n let starting_after = null;\n if ('response_id' in params) {\n stream = await client.responses.retrieve(params.response_id, { stream: true }, { ...options, signal: this.controller.signal, stream: true });\n starting_after = params.starting_after ?? null;\n }\n else {\n stream = await client.responses.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n }\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_addEvent).call(this, event, starting_after);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_endRequest).call(this);\n }\n [(_ResponseStream_params = new WeakMap(), _ResponseStream_currentResponseSnapshot = new WeakMap(), _ResponseStream_finalResponse = new WeakMap(), _ResponseStream_instances = new WeakSet(), _ResponseStream_beginRequest = function _ResponseStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n }, _ResponseStream_addEvent = function _ResponseStream_addEvent(event, starting_after) {\n if (this.ended)\n return;\n const maybeEmit = (name, event) => {\n if (starting_after == null || event.sequence_number > starting_after) {\n this._emit(name, event);\n }\n };\n const response = __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_accumulateResponse).call(this, event);\n maybeEmit('event', event);\n switch (event.type) {\n case 'response.output_text.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n maybeEmit('response.output_text.delta', {\n ...event,\n snapshot: content.text,\n });\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n maybeEmit('response.function_call_arguments.delta', {\n ...event,\n snapshot: output.arguments,\n });\n }\n break;\n }\n default:\n maybeEmit(event.type, event);\n break;\n }\n }, _ResponseStream_endRequest = function _ResponseStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any events`);\n }\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n const parsedResponse = finalizeResponse(snapshot, __classPrivateFieldGet(this, _ResponseStream_params, \"f\"));\n __classPrivateFieldSet(this, _ResponseStream_finalResponse, parsedResponse, \"f\");\n return parsedResponse;\n }, _ResponseStream_accumulateResponse = function _ResponseStream_accumulateResponse(event) {\n let snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n if (event.type !== 'response.created') {\n throw new OpenAIError(`When snapshot hasn't been set yet, expected 'response.created' event, got ${event.type}`);\n }\n snapshot = __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n return snapshot;\n }\n switch (event.type) {\n case 'response.output_item.added': {\n snapshot.output.push(event.item);\n break;\n }\n case 'response.content_part.added': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n const type = output.type;\n const part = event.part;\n if (type === 'message' && part.type !== 'reasoning_text') {\n output.content.push(part);\n }\n else if (type === 'reasoning' && part.type === 'reasoning_text') {\n if (!output.content) {\n output.content = [];\n }\n output.content.push(part);\n }\n break;\n }\n case 'response.output_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n output.arguments += event.delta;\n }\n break;\n }\n case 'response.reasoning_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'reasoning') {\n const content = output.content?.[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'reasoning_text') {\n throw new OpenAIError(`expected content to be 'reasoning_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.completed': {\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n break;\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((event) => (event ? { value: event, done: false } : { value: undefined, done: true }));\n }\n const event = pushQueue.shift();\n return { value: event, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n /**\n * @returns a promise that resolves with the final Response, or rejects\n * if an error occurred or the stream ended prematurely without producing a REsponse.\n */\n async finalResponse() {\n await this.done();\n const response = __classPrivateFieldGet(this, _ResponseStream_finalResponse, \"f\");\n if (!response)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return response;\n }\n}\nfunction finalizeResponse(snapshot, params) {\n return maybeParseResponse(snapshot, params);\n}\n//# sourceMappingURL=ResponseStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class InputItems extends APIResource {\n /**\n * Returns a list of input items for a given response.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const responseItem of client.responses.inputItems.list(\n * 'response_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(responseID, query = {}, options) {\n return this._client.getAPIList(path `/responses/${responseID}/input_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=input-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { parseResponse, addOutputText, } from \"../../lib/ResponsesParser.mjs\";\nimport { ResponseStream } from \"../../lib/responses/ResponseStream.mjs\";\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as InputItemsAPI from \"./input-items.mjs\";\nimport { InputItems } from \"./input-items.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Responses extends APIResource {\n constructor() {\n super(...arguments);\n this.inputItems = new InputItemsAPI.InputItems(this._client);\n }\n create(body, options) {\n return this._client.post('/responses', { body, ...options, stream: body.stream ?? false })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n retrieve(responseID, query = {}, options) {\n return this._client.get(path `/responses/${responseID}`, {\n query,\n ...options,\n stream: query?.stream ?? false,\n })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n /**\n * Deletes a model response with the given ID.\n *\n * @example\n * ```ts\n * await client.responses.delete(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n delete(responseID, options) {\n return this._client.delete(path `/responses/${responseID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n parse(body, options) {\n return this._client.responses\n .create(body, options)\n ._thenUnwrap((response) => parseResponse(response, body));\n }\n /**\n * Creates a model response stream\n */\n stream(body, options) {\n return ResponseStream.createResponse(this._client, body, options);\n }\n /**\n * Cancels a model response with the given ID. Only responses created with the\n * `background` parameter set to `true` can be cancelled.\n * [Learn more](https://platform.openai.com/docs/guides/background).\n *\n * @example\n * ```ts\n * const response = await client.responses.cancel(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n cancel(responseID, options) {\n return this._client.post(path `/responses/${responseID}/cancel`, options);\n }\n}\nResponses.InputItems = InputItems;\n//# sourceMappingURL=responses.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Parts extends APIResource {\n /**\n * Adds a\n * [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.\n * A Part represents a chunk of bytes from the file you are trying to upload.\n *\n * Each Part can be at most 64 MB, and you can add Parts until you hit the Upload\n * maximum of 8 GB.\n *\n * It is possible to add multiple Parts in parallel. You can decide the intended\n * order of the Parts when you\n * [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).\n */\n create(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/parts`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n}\n//# sourceMappingURL=parts.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as PartsAPI from \"./parts.mjs\";\nimport { Parts } from \"./parts.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Uploads extends APIResource {\n constructor() {\n super(...arguments);\n this.parts = new PartsAPI.Parts(this._client);\n }\n /**\n * Creates an intermediate\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object\n * that you can add\n * [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.\n * Currently, an Upload can accept at most 8 GB in total and expires after an hour\n * after you create it.\n *\n * Once you complete the Upload, we will create a\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * contains all the parts you uploaded. This File is usable in the rest of our\n * platform as a regular File object.\n *\n * For certain `purpose` values, the correct `mime_type` must be specified. Please\n * refer to documentation for the\n * [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).\n *\n * For guidance on the proper filename extensions for each purpose, please follow\n * the documentation on\n * [creating a File](https://platform.openai.com/docs/api-reference/files/create).\n */\n create(body, options) {\n return this._client.post('/uploads', { body, ...options });\n }\n /**\n * Cancels the Upload. No Parts may be added after an Upload is cancelled.\n */\n cancel(uploadID, options) {\n return this._client.post(path `/uploads/${uploadID}/cancel`, options);\n }\n /**\n * Completes the\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object).\n *\n * Within the returned Upload object, there is a nested\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * is ready to use in the rest of the platform.\n *\n * You can specify the order of the Parts by passing in an ordered list of the Part\n * IDs.\n *\n * The number of bytes uploaded upon completion must match the number of bytes\n * initially specified when creating the Upload object. No Parts may be added after\n * an Upload is completed.\n */\n complete(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/complete`, { body, ...options });\n }\n}\nUploads.Parts = Parts;\n//# sourceMappingURL=uploads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils/sleep.mjs\";\nimport { allSettledWithThrow } from \"../../lib/Util.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class FileBatches extends APIResource {\n /**\n * Create a vector store file batch.\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/file_batches`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file batch.\n */\n retrieve(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/file_batches/${batchID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancel a vector store file batch. This attempts to cancel the processing of\n * files in this batch as soon as possible.\n */\n cancel(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Create a vector store batch and poll until all files have been processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const batch = await this.create(vectorStoreId, body);\n return await this.poll(vectorStoreId, batch.id, options);\n }\n /**\n * Returns a list of vector store files in a batch.\n */\n listFiles(batchID, params, options) {\n const { vector_store_id, ...query } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/files`, (CursorPage), { query, ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n /**\n * Wait for the given file batch to be processed.\n *\n * Note: this will return even if one of the files failed to process, you need to\n * check batch.file_counts.failed_count to handle this case.\n */\n async poll(vectorStoreID, batchID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: batch, response } = await this.retrieve(batchID, { vector_store_id: vectorStoreID }, {\n ...options,\n headers,\n }).withResponse();\n switch (batch.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'cancelled':\n case 'completed':\n return batch;\n }\n }\n }\n /**\n * Uploads the given files concurrently and then creates a vector store file batch.\n *\n * The concurrency limit is configurable using the `maxConcurrency` parameter.\n */\n async uploadAndPoll(vectorStoreId, { files, fileIds = [] }, options) {\n if (files == null || files.length == 0) {\n throw new Error(`No \\`files\\` provided to process. If you've already uploaded files you should use \\`.createAndPoll()\\` instead`);\n }\n const configuredConcurrency = options?.maxConcurrency ?? 5;\n // We cap the number of workers at the number of files (so we don't start any unnecessary workers)\n const concurrencyLimit = Math.min(configuredConcurrency, files.length);\n const client = this._client;\n const fileIterator = files.values();\n const allFileIds = [...fileIds];\n // This code is based on this design. The libraries don't accommodate our environment limits.\n // https://stackoverflow.com/questions/40639432/what-is-the-best-way-to-limit-concurrency-when-using-es6s-promise-all\n async function processFiles(iterator) {\n for (let item of iterator) {\n const fileObj = await client.files.create({ file: item, purpose: 'assistants' }, options);\n allFileIds.push(fileObj.id);\n }\n }\n // Start workers to process results\n const workers = Array(concurrencyLimit).fill(fileIterator).map(processFiles);\n // Wait for all processing to complete.\n await allSettledWithThrow(workers);\n return await this.createAndPoll(vectorStoreId, {\n file_ids: allFileIds,\n });\n }\n}\n//# sourceMappingURL=file-batches.mjs.map","/**\n * Like `Promise.allSettled()` but throws an error if any promises are rejected.\n */\nexport const allSettledWithThrow = async (promises) => {\n const results = await Promise.allSettled(promises);\n const rejected = results.filter((result) => result.status === 'rejected');\n if (rejected.length) {\n for (const result of rejected) {\n console.error(result.reason);\n }\n throw new Error(`${rejected.length} promise(s) failed - see the above errors`);\n }\n // Note: TS was complaining about using `.filter().map()` here for some reason\n const values = [];\n for (const result of results) {\n if (result.status === 'fulfilled') {\n values.push(result.value);\n }\n }\n return values;\n};\n//# sourceMappingURL=Util.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Create a vector store file by attaching a\n * [File](https://platform.openai.com/docs/api-reference/files) to a\n * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/files`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file.\n */\n retrieve(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Update attributes on a vector store file.\n */\n update(fileID, params, options) {\n const { vector_store_id, ...body } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector store files.\n */\n list(vectorStoreID, query = {}, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/files`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store file. This will remove the file from the vector store but\n * the file itself will not be deleted. To delete the file, use the\n * [delete file](https://platform.openai.com/docs/api-reference/files/delete)\n * endpoint.\n */\n delete(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.delete(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Attach a file to the given vector store and wait for it to be processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const file = await this.create(vectorStoreId, body, options);\n return await this.poll(vectorStoreId, file.id, options);\n }\n /**\n * Wait for the vector store file to finish processing.\n *\n * Note: this will return even if the file failed to process, you need to check\n * file.last_error and file.status to handle these cases\n */\n async poll(vectorStoreID, fileID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const fileResponse = await this.retrieve(fileID, {\n vector_store_id: vectorStoreID,\n }, { ...options, headers }).withResponse();\n const file = fileResponse.data;\n switch (file.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'completed':\n return file;\n }\n }\n }\n /**\n * Upload a file to the `files` API and then attach it to the given vector store.\n *\n * Note the file will be asynchronously processed (you can use the alternative\n * polling helper method to wait for processing to complete).\n */\n async upload(vectorStoreId, file, options) {\n const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options);\n return this.create(vectorStoreId, { file_id: fileInfo.id }, options);\n }\n /**\n * Add a file to a vector store and poll until processing is complete.\n */\n async uploadAndPoll(vectorStoreId, file, options) {\n const fileInfo = await this.upload(vectorStoreId, file, options);\n return await this.poll(vectorStoreId, fileInfo.id, options);\n }\n /**\n * Retrieve the parsed contents of a vector store file.\n */\n content(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/files/${fileID}/content`, (Page), { ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FileBatchesAPI from \"./file-batches.mjs\";\nimport { FileBatches, } from \"./file-batches.mjs\";\nimport * as FilesAPI from \"./files.mjs\";\nimport { Files, } from \"./files.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class VectorStores extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n this.fileBatches = new FileBatchesAPI.FileBatches(this._client);\n }\n /**\n * Create a vector store.\n */\n create(body, options) {\n return this._client.post('/vector_stores', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store.\n */\n retrieve(vectorStoreID, options) {\n return this._client.get(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a vector store.\n */\n update(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector stores.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/vector_stores', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store.\n */\n delete(vectorStoreID, options) {\n return this._client.delete(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Search a vector store for relevant chunks based on a query and file attributes\n * filter.\n */\n search(vectorStoreID, body, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/search`, (Page), {\n body,\n method: 'post',\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\nVectorStores.Files = Files;\nVectorStores.FileBatches = FileBatches;\n//# sourceMappingURL=vector-stores.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _Webhooks_instances, _Webhooks_validateSecret, _Webhooks_getRequiredHeader;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { InvalidWebhookSignatureError } from \"../error.mjs\";\nimport { APIResource } from \"../core/resource.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nexport class Webhooks extends APIResource {\n constructor() {\n super(...arguments);\n _Webhooks_instances.add(this);\n }\n /**\n * Validates that the given payload was sent by OpenAI and parses the payload.\n */\n async unwrap(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n await this.verifySignature(payload, headers, secret, tolerance);\n return JSON.parse(payload);\n }\n /**\n * Validates whether or not the webhook payload was sent by OpenAI.\n *\n * An error will be raised if the webhook payload was not sent by OpenAI.\n *\n * @param payload - The webhook payload\n * @param headers - The webhook headers\n * @param secret - The webhook secret (optional, will use client secret if not provided)\n * @param tolerance - Maximum age of the webhook in seconds (default: 300 = 5 minutes)\n */\n async verifySignature(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n if (typeof crypto === 'undefined' ||\n typeof crypto.subtle.importKey !== 'function' ||\n typeof crypto.subtle.verify !== 'function') {\n throw new Error('Webhook signature verification is only supported when the `crypto` global is defined');\n }\n __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_validateSecret).call(this, secret);\n const headersObj = buildHeaders([headers]).values;\n const signatureHeader = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-signature');\n const timestamp = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-timestamp');\n const webhookId = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-id');\n // Validate timestamp to prevent replay attacks\n const timestampSeconds = parseInt(timestamp, 10);\n if (isNaN(timestampSeconds)) {\n throw new InvalidWebhookSignatureError('Invalid webhook timestamp format');\n }\n const nowSeconds = Math.floor(Date.now() / 1000);\n if (nowSeconds - timestampSeconds > tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too old');\n }\n if (timestampSeconds > nowSeconds + tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too new');\n }\n // Extract signatures from v1, format\n // The signature header can have multiple values, separated by spaces.\n // Each value is in the format v1,. We should accept if any match.\n const signatures = signatureHeader\n .split(' ')\n .map((part) => (part.startsWith('v1,') ? part.substring(3) : part));\n // Decode the secret if it starts with whsec_\n const decodedSecret = secret.startsWith('whsec_') ?\n Buffer.from(secret.replace('whsec_', ''), 'base64')\n : Buffer.from(secret, 'utf-8');\n // Create the signed payload: {webhook_id}.{timestamp}.{payload}\n const signedPayload = webhookId ? `${webhookId}.${timestamp}.${payload}` : `${timestamp}.${payload}`;\n // Import the secret as a cryptographic key for HMAC\n const key = await crypto.subtle.importKey('raw', decodedSecret, { name: 'HMAC', hash: 'SHA-256' }, false, ['verify']);\n // Check if any signature matches using timing-safe WebCrypto verify\n for (const signature of signatures) {\n try {\n const signatureBytes = Buffer.from(signature, 'base64');\n const isValid = await crypto.subtle.verify('HMAC', key, signatureBytes, new TextEncoder().encode(signedPayload));\n if (isValid) {\n return; // Valid signature found\n }\n }\n catch {\n // Invalid base64 or signature format, continue to next signature\n continue;\n }\n }\n throw new InvalidWebhookSignatureError('The given webhook signature does not match the expected signature');\n }\n}\n_Webhooks_instances = new WeakSet(), _Webhooks_validateSecret = function _Webhooks_validateSecret(secret) {\n if (typeof secret !== 'string' || secret.length === 0) {\n throw new Error(`The webhook secret must either be set using the env var, OPENAI_WEBHOOK_SECRET, on the client class, OpenAI({ webhookSecret: '123' }), or passed to this function`);\n }\n}, _Webhooks_getRequiredHeader = function _Webhooks_getRequiredHeader(headers, name) {\n if (!headers) {\n throw new Error(`Headers are required`);\n }\n const value = headers.get(name);\n if (value === null || value === undefined) {\n throw new Error(`Missing required header: ${name}`);\n }\n return value;\n};\n//# sourceMappingURL=webhooks.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _OpenAI_instances, _a, _OpenAI_encoder, _OpenAI_baseURLOverridden;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"./internal/tslib.mjs\";\nimport { uuid4 } from \"./internal/utils/uuid.mjs\";\nimport { validatePositiveInteger, isAbsoluteURL, safeJSON } from \"./internal/utils/values.mjs\";\nimport { sleep } from \"./internal/utils/sleep.mjs\";\nimport { castToError, isAbortError } from \"./internal/errors.mjs\";\nimport { getPlatformHeaders } from \"./internal/detect-platform.mjs\";\nimport * as Shims from \"./internal/shims.mjs\";\nimport * as Opts from \"./internal/request-options.mjs\";\nimport * as qs from \"./internal/qs/index.mjs\";\nimport { VERSION } from \"./version.mjs\";\nimport * as Errors from \"./core/error.mjs\";\nimport * as Pagination from \"./core/pagination.mjs\";\nimport * as Uploads from \"./core/uploads.mjs\";\nimport * as API from \"./resources/index.mjs\";\nimport { APIPromise } from \"./core/api-promise.mjs\";\nimport { Batches, } from \"./resources/batches.mjs\";\nimport { Completions, } from \"./resources/completions.mjs\";\nimport { Embeddings, } from \"./resources/embeddings.mjs\";\nimport { Files, } from \"./resources/files.mjs\";\nimport { Images, } from \"./resources/images.mjs\";\nimport { Models } from \"./resources/models.mjs\";\nimport { Moderations, } from \"./resources/moderations.mjs\";\nimport { Webhooks } from \"./resources/webhooks.mjs\";\nimport { Audio } from \"./resources/audio/audio.mjs\";\nimport { Beta } from \"./resources/beta/beta.mjs\";\nimport { Chat } from \"./resources/chat/chat.mjs\";\nimport { Containers, } from \"./resources/containers/containers.mjs\";\nimport { Conversations } from \"./resources/conversations/conversations.mjs\";\nimport { Evals, } from \"./resources/evals/evals.mjs\";\nimport { FineTuning } from \"./resources/fine-tuning/fine-tuning.mjs\";\nimport { Graders } from \"./resources/graders/graders.mjs\";\nimport { Realtime } from \"./resources/realtime/realtime.mjs\";\nimport { Responses } from \"./resources/responses/responses.mjs\";\nimport { Uploads as UploadsAPIUploads, } from \"./resources/uploads/uploads.mjs\";\nimport { VectorStores, } from \"./resources/vector-stores/vector-stores.mjs\";\nimport { isRunningInBrowser } from \"./internal/detect-platform.mjs\";\nimport { buildHeaders } from \"./internal/headers.mjs\";\nimport { readEnv } from \"./internal/utils/env.mjs\";\nimport { formatRequestDetails, loggerFor, parseLogLevel, } from \"./internal/utils/log.mjs\";\nimport { isEmptyObj } from \"./internal/utils/values.mjs\";\n/**\n * API Client for interfacing with the OpenAI API.\n */\nexport class OpenAI {\n /**\n * API Client for interfacing with the OpenAI API.\n *\n * @param {string | undefined} [opts.apiKey=process.env['OPENAI_API_KEY'] ?? undefined]\n * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null]\n * @param {string | null | undefined} [opts.project=process.env['OPENAI_PROJECT_ID'] ?? null]\n * @param {string | null | undefined} [opts.webhookSecret=process.env['OPENAI_WEBHOOK_SECRET'] ?? null]\n * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL'] ?? https://api.openai.com/v1] - Override the default base URL for the API.\n * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.\n * @param {MergedRequestInit} [opts.fetchOptions] - Additional `RequestInit` options to be passed to `fetch` calls.\n * @param {Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.\n * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.\n * @param {HeadersLike} opts.defaultHeaders - Default headers to include with every request to the API.\n * @param {Record} opts.defaultQuery - Default query parameters to include with every request to the API.\n * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n */\n constructor({ baseURL = readEnv('OPENAI_BASE_URL'), apiKey = readEnv('OPENAI_API_KEY'), organization = readEnv('OPENAI_ORG_ID') ?? null, project = readEnv('OPENAI_PROJECT_ID') ?? null, webhookSecret = readEnv('OPENAI_WEBHOOK_SECRET') ?? null, ...opts } = {}) {\n _OpenAI_instances.add(this);\n _OpenAI_encoder.set(this, void 0);\n this.completions = new API.Completions(this);\n this.chat = new API.Chat(this);\n this.embeddings = new API.Embeddings(this);\n this.files = new API.Files(this);\n this.images = new API.Images(this);\n this.audio = new API.Audio(this);\n this.moderations = new API.Moderations(this);\n this.models = new API.Models(this);\n this.fineTuning = new API.FineTuning(this);\n this.graders = new API.Graders(this);\n this.vectorStores = new API.VectorStores(this);\n this.webhooks = new API.Webhooks(this);\n this.beta = new API.Beta(this);\n this.batches = new API.Batches(this);\n this.uploads = new API.Uploads(this);\n this.responses = new API.Responses(this);\n this.realtime = new API.Realtime(this);\n this.conversations = new API.Conversations(this);\n this.evals = new API.Evals(this);\n this.containers = new API.Containers(this);\n if (apiKey === undefined) {\n throw new Errors.OpenAIError('Missing credentials. Please pass an `apiKey`, or set the `OPENAI_API_KEY` environment variable.');\n }\n const options = {\n apiKey,\n organization,\n project,\n webhookSecret,\n ...opts,\n baseURL: baseURL || `https://api.openai.com/v1`,\n };\n if (!options.dangerouslyAllowBrowser && isRunningInBrowser()) {\n throw new Errors.OpenAIError(\"It looks like you're running in a browser-like environment.\\n\\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\\nIf you understand the risks and have appropriate mitigations in place,\\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\\n\\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\\n\\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\\n\");\n }\n this.baseURL = options.baseURL;\n this.timeout = options.timeout ?? _a.DEFAULT_TIMEOUT /* 10 minutes */;\n this.logger = options.logger ?? console;\n const defaultLogLevel = 'warn';\n // Set default logLevel early so that we can log a warning in parseLogLevel.\n this.logLevel = defaultLogLevel;\n this.logLevel =\n parseLogLevel(options.logLevel, 'ClientOptions.logLevel', this) ??\n parseLogLevel(readEnv('OPENAI_LOG'), \"process.env['OPENAI_LOG']\", this) ??\n defaultLogLevel;\n this.fetchOptions = options.fetchOptions;\n this.maxRetries = options.maxRetries ?? 2;\n this.fetch = options.fetch ?? Shims.getDefaultFetch();\n __classPrivateFieldSet(this, _OpenAI_encoder, Opts.FallbackEncoder, \"f\");\n this._options = options;\n this.apiKey = typeof apiKey === 'string' ? apiKey : 'Missing Key';\n this.organization = organization;\n this.project = project;\n this.webhookSecret = webhookSecret;\n }\n /**\n * Create a new client instance re-using the same options given to the current client with optional overriding.\n */\n withOptions(options) {\n const client = new this.constructor({\n ...this._options,\n baseURL: this.baseURL,\n maxRetries: this.maxRetries,\n timeout: this.timeout,\n logger: this.logger,\n logLevel: this.logLevel,\n fetch: this.fetch,\n fetchOptions: this.fetchOptions,\n apiKey: this.apiKey,\n organization: this.organization,\n project: this.project,\n webhookSecret: this.webhookSecret,\n ...options,\n });\n return client;\n }\n defaultQuery() {\n return this._options.defaultQuery;\n }\n validateHeaders({ values, nulls }) {\n return;\n }\n async authHeaders(opts) {\n return buildHeaders([{ Authorization: `Bearer ${this.apiKey}` }]);\n }\n stringifyQuery(query) {\n return qs.stringify(query, { arrayFormat: 'brackets' });\n }\n getUserAgent() {\n return `${this.constructor.name}/JS ${VERSION}`;\n }\n defaultIdempotencyKey() {\n return `stainless-node-retry-${uuid4()}`;\n }\n makeStatusError(status, error, message, headers) {\n return Errors.APIError.generate(status, error, message, headers);\n }\n async _callApiKey() {\n const apiKey = this._options.apiKey;\n if (typeof apiKey !== 'function')\n return false;\n let token;\n try {\n token = await apiKey();\n }\n catch (err) {\n if (err instanceof Errors.OpenAIError)\n throw err;\n throw new Errors.OpenAIError(`Failed to get token from 'apiKey' function: ${err.message}`, \n // @ts-ignore\n { cause: err });\n }\n if (typeof token !== 'string' || !token) {\n throw new Errors.OpenAIError(`Expected 'apiKey' function argument to return a string but it returned ${token}`);\n }\n this.apiKey = token;\n return true;\n }\n buildURL(path, query, defaultBaseURL) {\n const baseURL = (!__classPrivateFieldGet(this, _OpenAI_instances, \"m\", _OpenAI_baseURLOverridden).call(this) && defaultBaseURL) || this.baseURL;\n const url = isAbsoluteURL(path) ?\n new URL(path)\n : new URL(baseURL + (baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path));\n const defaultQuery = this.defaultQuery();\n if (!isEmptyObj(defaultQuery)) {\n query = { ...defaultQuery, ...query };\n }\n if (typeof query === 'object' && query && !Array.isArray(query)) {\n url.search = this.stringifyQuery(query);\n }\n return url.toString();\n }\n /**\n * Used as a callback for mutating the given `FinalRequestOptions` object.\n */\n async prepareOptions(options) {\n await this._callApiKey();\n }\n /**\n * Used as a callback for mutating the given `RequestInit` object.\n *\n * This is useful for cases where you want to add certain headers based off of\n * the request properties, e.g. `method` or `url`.\n */\n async prepareRequest(request, { url, options }) { }\n get(path, opts) {\n return this.methodRequest('get', path, opts);\n }\n post(path, opts) {\n return this.methodRequest('post', path, opts);\n }\n patch(path, opts) {\n return this.methodRequest('patch', path, opts);\n }\n put(path, opts) {\n return this.methodRequest('put', path, opts);\n }\n delete(path, opts) {\n return this.methodRequest('delete', path, opts);\n }\n methodRequest(method, path, opts) {\n return this.request(Promise.resolve(opts).then((opts) => {\n return { method, path, ...opts };\n }));\n }\n request(options, remainingRetries = null) {\n return new APIPromise(this, this.makeRequest(options, remainingRetries, undefined));\n }\n async makeRequest(optionsInput, retriesRemaining, retryOfRequestLogID) {\n const options = await optionsInput;\n const maxRetries = options.maxRetries ?? this.maxRetries;\n if (retriesRemaining == null) {\n retriesRemaining = maxRetries;\n }\n await this.prepareOptions(options);\n const { req, url, timeout } = await this.buildRequest(options, {\n retryCount: maxRetries - retriesRemaining,\n });\n await this.prepareRequest(req, { url, options });\n /** Not an API request ID, just for correlating local log entries. */\n const requestLogID = 'log_' + ((Math.random() * (1 << 24)) | 0).toString(16).padStart(6, '0');\n const retryLogStr = retryOfRequestLogID === undefined ? '' : `, retryOf: ${retryOfRequestLogID}`;\n const startTime = Date.now();\n loggerFor(this).debug(`[${requestLogID}] sending request`, formatRequestDetails({\n retryOfRequestLogID,\n method: options.method,\n url,\n options,\n headers: req.headers,\n }));\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n const controller = new AbortController();\n const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError);\n const headersTime = Date.now();\n if (response instanceof globalThis.Error) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n // detect native connection timeout errors\n // deno throws \"TypeError: error sending request for url (https://example/): client error (Connect): tcp connect error: Operation timed out (os error 60): Operation timed out (os error 60)\"\n // undici throws \"TypeError: fetch failed\" with cause \"ConnectTimeoutError: Connect Timeout Error (attempted address: example:443, timeout: 1ms)\"\n // others do not provide enough information to distinguish timeouts from other connection errors\n const isTimeout = isAbortError(response) ||\n /timed? ?out/i.test(String(response) + ('cause' in response ? String(response.cause) : ''));\n if (retriesRemaining) {\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID);\n }\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - error; no more retries left`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (error; no more retries left)`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n if (isTimeout) {\n throw new Errors.APIConnectionTimeoutError();\n }\n throw new Errors.APIConnectionError({ cause: response });\n }\n const specialHeaders = [...response.headers.entries()]\n .filter(([name]) => name === 'x-request-id')\n .map(([name, value]) => ', ' + name + ': ' + JSON.stringify(value))\n .join('');\n const responseInfo = `[${requestLogID}${retryLogStr}${specialHeaders}] ${req.method} ${url} ${response.ok ? 'succeeded' : 'failed'} with status ${response.status} in ${headersTime - startTime}ms`;\n if (!response.ok) {\n const shouldRetry = await this.shouldRetry(response);\n if (retriesRemaining && shouldRetry) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n // We don't need the body of this response.\n await Shims.CancelReadableStream(response.body);\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID, response.headers);\n }\n const retryMessage = shouldRetry ? `error; no more retries left` : `error; not retryable`;\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n const errText = await response.text().catch((err) => castToError(err).message);\n const errJSON = safeJSON(errText);\n const errMessage = errJSON ? undefined : errText;\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n message: errMessage,\n durationMs: Date.now() - startTime,\n }));\n const err = this.makeStatusError(response.status, errJSON, errMessage, response.headers);\n throw err;\n }\n loggerFor(this).info(responseInfo);\n loggerFor(this).debug(`[${requestLogID}] response start`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return { response, options, controller, requestLogID, retryOfRequestLogID, startTime };\n }\n getAPIList(path, Page, opts) {\n return this.requestAPIList(Page, { method: 'get', path, ...opts });\n }\n requestAPIList(Page, options) {\n const request = this.makeRequest(options, null, undefined);\n return new Pagination.PagePromise(this, request, Page);\n }\n async fetchWithTimeout(url, init, ms, controller) {\n const { signal, method, ...options } = init || {};\n if (signal)\n signal.addEventListener('abort', () => controller.abort());\n const timeout = setTimeout(() => controller.abort(), ms);\n const isReadableBody = (globalThis.ReadableStream && options.body instanceof globalThis.ReadableStream) ||\n (typeof options.body === 'object' && options.body !== null && Symbol.asyncIterator in options.body);\n const fetchOptions = {\n signal: controller.signal,\n ...(isReadableBody ? { duplex: 'half' } : {}),\n method: 'GET',\n ...options,\n };\n if (method) {\n // Custom methods like 'patch' need to be uppercased\n // See https://github.com/nodejs/undici/issues/2294\n fetchOptions.method = method.toUpperCase();\n }\n try {\n // use undefined this binding; fetch errors if bound to something else in browser/cloudflare\n return await this.fetch.call(undefined, url, fetchOptions);\n }\n finally {\n clearTimeout(timeout);\n }\n }\n async shouldRetry(response) {\n // Note this is not a standard header.\n const shouldRetryHeader = response.headers.get('x-should-retry');\n // If the server explicitly says whether or not to retry, obey.\n if (shouldRetryHeader === 'true')\n return true;\n if (shouldRetryHeader === 'false')\n return false;\n // Retry on request timeouts.\n if (response.status === 408)\n return true;\n // Retry on lock timeouts.\n if (response.status === 409)\n return true;\n // Retry on rate limits.\n if (response.status === 429)\n return true;\n // Retry internal errors.\n if (response.status >= 500)\n return true;\n return false;\n }\n async retryRequest(options, retriesRemaining, requestLogID, responseHeaders) {\n let timeoutMillis;\n // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it.\n const retryAfterMillisHeader = responseHeaders?.get('retry-after-ms');\n if (retryAfterMillisHeader) {\n const timeoutMs = parseFloat(retryAfterMillisHeader);\n if (!Number.isNaN(timeoutMs)) {\n timeoutMillis = timeoutMs;\n }\n }\n // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n const retryAfterHeader = responseHeaders?.get('retry-after');\n if (retryAfterHeader && !timeoutMillis) {\n const timeoutSeconds = parseFloat(retryAfterHeader);\n if (!Number.isNaN(timeoutSeconds)) {\n timeoutMillis = timeoutSeconds * 1000;\n }\n else {\n timeoutMillis = Date.parse(retryAfterHeader) - Date.now();\n }\n }\n // If the API asks us to wait a certain amount of time (and it's a reasonable amount),\n // just do what it says, but otherwise calculate a default\n if (!(timeoutMillis && 0 <= timeoutMillis && timeoutMillis < 60 * 1000)) {\n const maxRetries = options.maxRetries ?? this.maxRetries;\n timeoutMillis = this.calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries);\n }\n await sleep(timeoutMillis);\n return this.makeRequest(options, retriesRemaining - 1, requestLogID);\n }\n calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries) {\n const initialRetryDelay = 0.5;\n const maxRetryDelay = 8.0;\n const numRetries = maxRetries - retriesRemaining;\n // Apply exponential backoff, but not more than the max.\n const sleepSeconds = Math.min(initialRetryDelay * Math.pow(2, numRetries), maxRetryDelay);\n // Apply some jitter, take up to at most 25 percent of the retry time.\n const jitter = 1 - Math.random() * 0.25;\n return sleepSeconds * jitter * 1000;\n }\n async buildRequest(inputOptions, { retryCount = 0 } = {}) {\n const options = { ...inputOptions };\n const { method, path, query, defaultBaseURL } = options;\n const url = this.buildURL(path, query, defaultBaseURL);\n if ('timeout' in options)\n validatePositiveInteger('timeout', options.timeout);\n options.timeout = 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Errors.APIError;\nOpenAI.APIConnectionError = Errors.APIConnectionError;\nOpenAI.APIConnectionTimeoutError = Errors.APIConnectionTimeoutError;\nOpenAI.APIUserAbortError = Errors.APIUserAbortError;\nOpenAI.NotFoundError = Errors.NotFoundError;\nOpenAI.ConflictError = Errors.ConflictError;\nOpenAI.RateLimitError = Errors.RateLimitError;\nOpenAI.BadRequestError = Errors.BadRequestError;\nOpenAI.AuthenticationError = Errors.AuthenticationError;\nOpenAI.InternalServerError = Errors.InternalServerError;\nOpenAI.PermissionDeniedError = Errors.PermissionDeniedError;\nOpenAI.UnprocessableEntityError = Errors.UnprocessableEntityError;\nOpenAI.InvalidWebhookSignatureError = Errors.InvalidWebhookSignatureError;\nOpenAI.toFile = Uploads.toFile;\nOpenAI.Completions = Completions;\nOpenAI.Chat = Chat;\nOpenAI.Embeddings = Embeddings;\nOpenAI.Files = Files;\nOpenAI.Images = Images;\nOpenAI.Audio = Audio;\nOpenAI.Moderations = Moderations;\nOpenAI.Models = Models;\nOpenAI.FineTuning = 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(function(o, m, k, k2) {\r\n if (k2 === undefined) k2 = k;\r\n var desc = Object.getOwnPropertyDescriptor(m, k);\r\n if (!desc || (\"get\" in desc ? !m.__esModule : desc.writable || desc.configurable)) {\r\n desc = { enumerable: true, get: function() { return m[k]; } };\r\n }\r\n Object.defineProperty(o, k2, desc);\r\n}) : (function(o, m, k, k2) {\r\n if (k2 === undefined) k2 = k;\r\n o[k2] = m[k];\r\n});\r\n\r\nexport function __exportStar(m, o) {\r\n for (var p in m) if (p !== \"default\" && !Object.prototype.hasOwnProperty.call(o, p)) __createBinding(o, m, p);\r\n}\r\n\r\nexport function __values(o) {\r\n var s = typeof Symbol === \"function\" && Symbol.iterator, m = s && o[s], i = 0;\r\n if (m) return m.call(o);\r\n if (o && typeof o.length === \"number\") return {\r\n next: function () {\r\n if (o && i >= o.length) o = void 0;\r\n return { value: o && o[i++], done: !o };\r\n }\r\n };\r\n throw new TypeError(s ? \"Object is not iterable.\" : \"Symbol.iterator is not defined.\");\r\n}\r\n\r\nexport function __read(o, n) {\r\n var m = typeof Symbol === \"function\" && o[Symbol.iterator];\r\n if (!m) return o;\r\n var i = m.call(o), r, ar = [], e;\r\n try {\r\n while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);\r\n }\r\n catch (error) { e = { error: error }; }\r\n finally {\r\n try {\r\n if (r && !r.done && (m = i[\"return\"])) m.call(i);\r\n }\r\n finally { if (e) throw e.error; }\r\n }\r\n return ar;\r\n}\r\n\r\n/** @deprecated */\r\nexport function __spread() {\r\n for (var ar = [], i = 0; i < arguments.length; i++)\r\n ar = ar.concat(__read(arguments[i]));\r\n return ar;\r\n}\r\n\r\n/** @deprecated */\r\nexport function __spreadArrays() {\r\n for (var s = 0, i = 0, il = arguments.length; i < il; i++) s += arguments[i].length;\r\n for (var r = Array(s), k = 0, i = 0; i < il; i++)\r\n for (var a = arguments[i], j = 0, jl = a.length; j < jl; j++, k++)\r\n r[k] = a[j];\r\n return r;\r\n}\r\n\r\nexport function __spreadArray(to, from, pack) {\r\n if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {\r\n if (ar || !(i in from)) {\r\n if (!ar) ar = Array.prototype.slice.call(from, 0, i);\r\n ar[i] = from[i];\r\n }\r\n }\r\n return to.concat(ar || Array.prototype.slice.call(from));\r\n}\r\n\r\nexport function __await(v) {\r\n return this instanceof __await ? (this.v = v, this) : new __await(v);\r\n}\r\n\r\nexport function __asyncGenerator(thisArg, _arguments, generator) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var g = generator.apply(thisArg, _arguments || []), i, q = [];\r\n return i = Object.create((typeof AsyncIterator === \"function\" ? AsyncIterator : Object).prototype), verb(\"next\"), verb(\"throw\"), verb(\"return\", awaitReturn), i[Symbol.asyncIterator] = function () { return this; }, i;\r\n function awaitReturn(f) { return function (v) { return Promise.resolve(v).then(f, reject); }; }\r\n function verb(n, f) { if (g[n]) { i[n] = function (v) { return new Promise(function (a, b) { q.push([n, v, a, b]) > 1 || resume(n, v); }); }; if (f) i[n] = f(i[n]); } }\r\n function resume(n, v) { try { step(g[n](v)); } catch (e) { settle(q[0][3], e); } }\r\n function step(r) { r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r); }\r\n function fulfill(value) { resume(\"next\", value); }\r\n function reject(value) { resume(\"throw\", value); }\r\n function settle(f, v) { if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]); }\r\n}\r\n\r\nexport function __asyncDelegator(o) {\r\n var i, p;\r\n return i = {}, verb(\"next\"), verb(\"throw\", function (e) { throw e; }), verb(\"return\"), i[Symbol.iterator] = function () { return this; }, i;\r\n function verb(n, f) { i[n] = o[n] ? function (v) { return (p = !p) ? { value: __await(o[n](v)), done: false } : f ? f(v) : v; } : f; }\r\n}\r\n\r\nexport function __asyncValues(o) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var m = o[Symbol.asyncIterator], i;\r\n return m ? m.call(o) : (o = typeof __values === \"function\" ? __values(o) : o[Symbol.iterator](), i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i);\r\n function verb(n) { i[n] = o[n] && function (v) { return new Promise(function (resolve, reject) { v = o[n](v), settle(resolve, reject, v.done, v.value); }); }; }\r\n function settle(resolve, reject, d, v) { Promise.resolve(v).then(function(v) { resolve({ value: v, done: d }); }, reject); }\r\n}\r\n\r\nexport function __makeTemplateObject(cooked, raw) {\r\n if (Object.defineProperty) { Object.defineProperty(cooked, \"raw\", { value: raw }); } else { cooked.raw = raw; }\r\n return cooked;\r\n};\r\n\r\nvar __setModuleDefault = Object.create ? (function(o, v) {\r\n Object.defineProperty(o, \"default\", { enumerable: true, value: v });\r\n}) : function(o, v) {\r\n o[\"default\"] = v;\r\n};\r\n\r\nvar ownKeys = function(o) {\r\n ownKeys = Object.getOwnPropertyNames || function (o) {\r\n var ar = [];\r\n for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;\r\n return ar;\r\n };\r\n return ownKeys(o);\r\n};\r\n\r\nexport function __importStar(mod) {\r\n if (mod && mod.__esModule) return mod;\r\n var result = {};\r\n if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== \"default\") __createBinding(result, mod, k[i]);\r\n __setModuleDefault(result, mod);\r\n return result;\r\n}\r\n\r\nexport function __importDefault(mod) {\r\n return (mod && mod.__esModule) ? mod : { default: mod };\r\n}\r\n\r\nexport function __classPrivateFieldGet(receiver, state, kind, f) {\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\r\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\r\n}\r\n\r\nexport function __classPrivateFieldSet(receiver, state, value, kind, f) {\r\n if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\r\n return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\r\n}\r\n\r\nexport function __classPrivateFieldIn(state, receiver) {\r\n if (receiver === null || (typeof receiver !== \"object\" && typeof receiver !== \"function\")) throw new TypeError(\"Cannot use 'in' operator on non-object\");\r\n return typeof state === \"function\" ? receiver === state : state.has(receiver);\r\n}\r\n\r\nexport function __addDisposableResource(env, value, async) {\r\n if (value !== null && value !== void 0) {\r\n if (typeof value !== \"object\" && typeof value !== \"function\") throw new TypeError(\"Object expected.\");\r\n var dispose, inner;\r\n if (async) {\r\n if (!Symbol.asyncDispose) throw new TypeError(\"Symbol.asyncDispose is not defined.\");\r\n dispose = value[Symbol.asyncDispose];\r\n }\r\n if (dispose === void 0) {\r\n if (!Symbol.dispose) throw new TypeError(\"Symbol.dispose is not defined.\");\r\n dispose = value[Symbol.dispose];\r\n if (async) inner = dispose;\r\n }\r\n if (typeof dispose !== \"function\") throw new TypeError(\"Object not disposable.\");\r\n if (inner) dispose = function() { try { inner.call(this); } catch (e) { return Promise.reject(e); } };\r\n env.stack.push({ value: value, dispose: dispose, async: async });\r\n }\r\n else if (async) {\r\n env.stack.push({ async: true });\r\n }\r\n return value;\r\n\r\n}\r\n\r\nvar _SuppressedError = typeof SuppressedError === \"function\" ? SuppressedError : function (error, suppressed, message) {\r\n var e = new Error(message);\r\n return e.name = \"SuppressedError\", e.error = error, e.suppressed = suppressed, e;\r\n};\r\n\r\nexport function __disposeResources(env) {\r\n function fail(e) {\r\n env.error = env.hasError ? new _SuppressedError(e, env.error, \"An error was suppressed during disposal.\") : e;\r\n env.hasError = true;\r\n }\r\n var r, s = 0;\r\n function next() {\r\n while (r = env.stack.pop()) {\r\n try {\r\n if (!r.async && s === 1) return s = 0, env.stack.push(r), Promise.resolve().then(next);\r\n if (r.dispose) {\r\n var result = r.dispose.call(r.value);\r\n if (r.async) return s |= 2, Promise.resolve(result).then(next, function(e) { fail(e); return next(); });\r\n }\r\n else s |= 1;\r\n }\r\n catch (e) {\r\n fail(e);\r\n }\r\n }\r\n if (s === 1) return env.hasError ? Promise.reject(env.error) : Promise.resolve();\r\n if (env.hasError) throw env.error;\r\n }\r\n return next();\r\n}\r\n\r\nexport function __rewriteRelativeImportExtension(path, preserveJsx) {\r\n if (typeof path === \"string\" && /^\\.\\.?\\//.test(path)) {\r\n return path.replace(/\\.(tsx)$|((?:\\.d)?)((?:\\.[^./]+?)?)\\.([cm]?)ts$/i, function (m, tsx, d, ext, cm) {\r\n return tsx ? preserveJsx ? \".jsx\" : \".js\" : d && (!ext || !cm) ? m : (d + ext + \".\" + cm.toLowerCase() + \"js\");\r\n });\r\n }\r\n return path;\r\n}\r\n\r\nexport default {\r\n __extends: __extends,\r\n __assign: __assign,\r\n __rest: __rest,\r\n __decorate: __decorate,\r\n __param: __param,\r\n __esDecorate: __esDecorate,\r\n __runInitializers: __runInitializers,\r\n __propKey: __propKey,\r\n __setFunctionName: __setFunctionName,\r\n __metadata: __metadata,\r\n __awaiter: __awaiter,\r\n __generator: __generator,\r\n __createBinding: __createBinding,\r\n __exportStar: __exportStar,\r\n __values: __values,\r\n __read: __read,\r\n __spread: __spread,\r\n __spreadArrays: __spreadArrays,\r\n __spreadArray: __spreadArray,\r\n __await: __await,\r\n __asyncGenerator: __asyncGenerator,\r\n __asyncDelegator: __asyncDelegator,\r\n __asyncValues: __asyncValues,\r\n __makeTemplateObject: __makeTemplateObject,\r\n __importStar: __importStar,\r\n __importDefault: __importDefault,\r\n __classPrivateFieldGet: __classPrivateFieldGet,\r\n __classPrivateFieldSet: __classPrivateFieldSet,\r\n __classPrivateFieldIn: __classPrivateFieldIn,\r\n __addDisposableResource: __addDisposableResource,\r\n __disposeResources: __disposeResources,\r\n __rewriteRelativeImportExtension: __rewriteRelativeImportExtension,\r\n};\r\n",null,null,null,null,null,null,null,null,"function __classPrivateFieldSet(receiver, state, value, kind, f) {\n if (kind === \"m\")\n throw new TypeError(\"Private method is not writable\");\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a setter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\n return kind === \"a\" ? f.call(receiver, value) : f ? (f.value = value) : state.set(receiver, value), value;\n}\nfunction __classPrivateFieldGet(receiver, state, kind, f) {\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a getter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\n}\nexport { __classPrivateFieldSet, __classPrivateFieldGet };\n","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * https://stackoverflow.com/a/2117523\n */\nexport let uuid4 = function () {\n const { crypto } = globalThis;\n if (crypto?.randomUUID) {\n uuid4 = crypto.randomUUID.bind(crypto);\n return crypto.randomUUID();\n }\n const u8 = new Uint8Array(1);\n const randomByte = crypto ? () => crypto.getRandomValues(u8)[0] : () => (Math.random() * 0xff) & 0xff;\n return '10000000-1000-4000-8000-100000000000'.replace(/[018]/g, (c) => (+c ^ (randomByte() & (15 >> (+c / 4)))).toString(16));\n};\n//# sourceMappingURL=uuid.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function isAbortError(err) {\n return (typeof err === 'object' &&\n err !== null &&\n // Spec-compliant fetch implementations\n (('name' in err && err.name === 'AbortError') ||\n // Expo fetch\n ('message' in err && String(err.message).includes('FetchRequestCanceledException'))));\n}\nexport const castToError = (err) => {\n if (err instanceof Error)\n return err;\n if (typeof err === 'object' && err !== null) {\n try {\n if (Object.prototype.toString.call(err) === '[object Error]') {\n // @ts-ignore - not all envs have native support for cause yet\n const error = new Error(err.message, err.cause ? { cause: err.cause } : {});\n if (err.stack)\n error.stack = err.stack;\n // @ts-ignore - not all envs have native support for cause yet\n if (err.cause && !error.cause)\n error.cause = err.cause;\n if (err.name)\n error.name = err.name;\n return error;\n }\n }\n catch { }\n try {\n return new Error(JSON.stringify(err));\n }\n catch { }\n }\n return new Error(err);\n};\n//# sourceMappingURL=errors.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { castToError } from \"../internal/errors.mjs\";\nexport class OpenAIError extends Error {\n}\nexport class APIError extends OpenAIError {\n constructor(status, error, message, headers) {\n super(`${APIError.makeMessage(status, error, message)}`);\n this.status = status;\n this.headers = headers;\n this.requestID = headers?.get('x-request-id');\n this.error = error;\n const data = error;\n this.code = data?.['code'];\n this.param = data?.['param'];\n this.type = data?.['type'];\n }\n static makeMessage(status, error, message) {\n const msg = error?.message ?\n typeof error.message === 'string' ?\n error.message\n : JSON.stringify(error.message)\n : error ? JSON.stringify(error)\n : message;\n if (status && msg) {\n return `${status} ${msg}`;\n }\n if (status) {\n return `${status} status code (no body)`;\n }\n if (msg) {\n return msg;\n }\n return '(no status code or body)';\n }\n static generate(status, errorResponse, message, headers) {\n if (!status || !headers) {\n return new APIConnectionError({ message, cause: castToError(errorResponse) });\n }\n const error = errorResponse?.['error'];\n if (status === 400) {\n return new BadRequestError(status, error, message, headers);\n }\n if (status === 401) {\n return new AuthenticationError(status, error, message, headers);\n }\n if (status === 403) {\n return new PermissionDeniedError(status, error, message, headers);\n }\n if (status === 404) {\n return new NotFoundError(status, error, message, headers);\n }\n if (status === 409) {\n return new ConflictError(status, error, message, headers);\n }\n if (status === 422) {\n return new UnprocessableEntityError(status, error, message, headers);\n }\n if (status === 429) {\n return new RateLimitError(status, error, message, headers);\n }\n if (status >= 500) {\n return new InternalServerError(status, error, message, headers);\n }\n return new APIError(status, error, message, headers);\n }\n}\nexport class APIUserAbortError extends APIError {\n constructor({ message } = {}) {\n super(undefined, undefined, message || 'Request was aborted.', undefined);\n }\n}\nexport class APIConnectionError extends APIError {\n constructor({ message, cause }) {\n super(undefined, undefined, message || 'Connection error.', undefined);\n // in some environments the 'cause' property is already declared\n // @ts-ignore\n if (cause)\n this.cause = cause;\n }\n}\nexport class APIConnectionTimeoutError extends APIConnectionError {\n constructor({ message } = {}) {\n super({ message: message ?? 'Request timed out.' });\n }\n}\nexport class BadRequestError extends APIError {\n}\nexport class AuthenticationError extends APIError {\n}\nexport class PermissionDeniedError extends APIError {\n}\nexport class NotFoundError extends APIError {\n}\nexport class ConflictError extends APIError {\n}\nexport class UnprocessableEntityError extends APIError {\n}\nexport class RateLimitError extends APIError {\n}\nexport class InternalServerError extends APIError {\n}\nexport class LengthFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the length limit was reached`);\n }\n}\nexport class ContentFilterFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the request was rejected by the content filter`);\n }\n}\nexport class InvalidWebhookSignatureError extends Error {\n constructor(message) {\n super(message);\n }\n}\n//# sourceMappingURL=error.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\n// https://url.spec.whatwg.org/#url-scheme-string\nconst startsWithSchemeRegexp = /^[a-z][a-z0-9+.-]*:/i;\nexport const isAbsoluteURL = (url) => {\n return startsWithSchemeRegexp.test(url);\n};\nexport let isArray = (val) => ((isArray = Array.isArray), isArray(val));\nexport let isReadonlyArray = isArray;\n/** Returns an object if the given value isn't an object, otherwise returns as-is */\nexport function maybeObj(x) {\n if (typeof x !== 'object') {\n return {};\n }\n return x ?? {};\n}\n// https://stackoverflow.com/a/34491287\nexport function isEmptyObj(obj) {\n if (!obj)\n return true;\n for (const _k in obj)\n return false;\n return true;\n}\n// https://eslint.org/docs/latest/rules/no-prototype-builtins\nexport function hasOwn(obj, key) {\n return Object.prototype.hasOwnProperty.call(obj, key);\n}\nexport function isObj(obj) {\n return obj != null && typeof obj === 'object' && !Array.isArray(obj);\n}\nexport const ensurePresent = (value) => {\n if (value == null) {\n throw new OpenAIError(`Expected a value to be given but received ${value} instead.`);\n }\n return value;\n};\nexport const validatePositiveInteger = (name, n) => {\n if (typeof n !== 'number' || !Number.isInteger(n)) {\n throw new OpenAIError(`${name} must be an integer`);\n }\n if (n < 0) {\n throw new OpenAIError(`${name} must be a positive integer`);\n }\n return n;\n};\nexport const coerceInteger = (value) => {\n if (typeof value === 'number')\n return Math.round(value);\n if (typeof value === 'string')\n return parseInt(value, 10);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceFloat = (value) => {\n if (typeof value === 'number')\n return value;\n if (typeof value === 'string')\n return parseFloat(value);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceBoolean = (value) => {\n if (typeof value === 'boolean')\n return value;\n if (typeof value === 'string')\n return value === 'true';\n return Boolean(value);\n};\nexport const maybeCoerceInteger = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceInteger(value);\n};\nexport const maybeCoerceFloat = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceFloat(value);\n};\nexport const maybeCoerceBoolean = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceBoolean(value);\n};\nexport const safeJSON = (text) => {\n try {\n return JSON.parse(text);\n }\n catch (err) {\n return undefined;\n }\n};\n//# sourceMappingURL=values.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));\n//# sourceMappingURL=sleep.mjs.map","export const VERSION = '5.23.2'; // x-release-please-version\n//# sourceMappingURL=version.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { VERSION } from \"../version.mjs\";\nexport const isRunningInBrowser = () => {\n return (\n // @ts-ignore\n typeof window !== 'undefined' &&\n // @ts-ignore\n typeof window.document !== 'undefined' &&\n // @ts-ignore\n typeof navigator !== 'undefined');\n};\n/**\n * Note this does not detect 'browser'; for that, use getBrowserInfo().\n */\nfunction getDetectedPlatform() {\n if (typeof Deno !== 'undefined' && Deno.build != null) {\n return 'deno';\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return 'edge';\n }\n if (Object.prototype.toString.call(typeof globalThis.process !== 'undefined' ? globalThis.process : 0) === '[object process]') {\n return 'node';\n }\n return 'unknown';\n}\nconst getPlatformProperties = () => {\n const detectedPlatform = getDetectedPlatform();\n if (detectedPlatform === 'deno') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(Deno.build.os),\n 'X-Stainless-Arch': normalizeArch(Deno.build.arch),\n 'X-Stainless-Runtime': 'deno',\n 'X-Stainless-Runtime-Version': typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown',\n };\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': `other:${EdgeRuntime}`,\n 'X-Stainless-Runtime': 'edge',\n 'X-Stainless-Runtime-Version': globalThis.process.version,\n };\n }\n // Check if Node.js\n if (detectedPlatform === 'node') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(globalThis.process.platform ?? 'unknown'),\n 'X-Stainless-Arch': normalizeArch(globalThis.process.arch ?? 'unknown'),\n 'X-Stainless-Runtime': 'node',\n 'X-Stainless-Runtime-Version': globalThis.process.version ?? 'unknown',\n };\n }\n const browserInfo = getBrowserInfo();\n if (browserInfo) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': `browser:${browserInfo.browser}`,\n 'X-Stainless-Runtime-Version': browserInfo.version,\n };\n }\n // TODO add support for Cloudflare workers, etc.\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': 'unknown',\n 'X-Stainless-Runtime-Version': 'unknown',\n };\n};\n// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts\nfunction getBrowserInfo() {\n if (typeof navigator === 'undefined' || !navigator) {\n return null;\n }\n // NOTE: The order matters here!\n const browserPatterns = [\n { key: 'edge', pattern: /Edge(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /MSIE(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /Trident(?:.*rv\\:(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'chrome', pattern: /Chrome(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'firefox', pattern: /Firefox(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'safari', pattern: /(?:Version\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?(?:\\W+Mobile\\S*)?\\W+Safari/ },\n ];\n // Find the FIRST matching browser\n for (const { key, pattern } of browserPatterns) {\n const match = pattern.exec(navigator.userAgent);\n if (match) {\n const major = match[1] || 0;\n const minor = match[2] || 0;\n const patch = match[3] || 0;\n return { browser: key, version: `${major}.${minor}.${patch}` };\n }\n }\n return null;\n}\nconst normalizeArch = (arch) => {\n // Node docs:\n // - https://nodejs.org/api/process.html#processarch\n // Deno docs:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n if (arch === 'x32')\n return 'x32';\n if (arch === 'x86_64' || arch === 'x64')\n return 'x64';\n if (arch === 'arm')\n return 'arm';\n if (arch === 'aarch64' || arch === 'arm64')\n return 'arm64';\n if (arch)\n return `other:${arch}`;\n return 'unknown';\n};\nconst normalizePlatform = (platform) => {\n // Node platforms:\n // - https://nodejs.org/api/process.html#processplatform\n // Deno platforms:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n // - https://github.com/denoland/deno/issues/14799\n platform = platform.toLowerCase();\n // NOTE: this iOS check is untested and may not work\n // Node does not work natively on IOS, there is a fork at\n // https://github.com/nodejs-mobile/nodejs-mobile\n // however it is unknown at the time of writing how to detect if it is running\n if (platform.includes('ios'))\n return 'iOS';\n if (platform === 'android')\n return 'Android';\n if (platform === 'darwin')\n return 'MacOS';\n if (platform === 'win32')\n return 'Windows';\n if (platform === 'freebsd')\n return 'FreeBSD';\n if (platform === 'openbsd')\n return 'OpenBSD';\n if (platform === 'linux')\n return 'Linux';\n if (platform)\n return `Other:${platform}`;\n return 'Unknown';\n};\nlet _platformHeaders;\nexport const getPlatformHeaders = () => {\n return (_platformHeaders ?? (_platformHeaders = getPlatformProperties()));\n};\n//# sourceMappingURL=detect-platform.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function getDefaultFetch() {\n if (typeof fetch !== 'undefined') {\n return fetch;\n }\n throw new Error('`fetch` is not defined as a global; Either pass `fetch` to the client, `new OpenAI({ fetch })` or polyfill the global, `globalThis.fetch = fetch`');\n}\nexport function makeReadableStream(...args) {\n const ReadableStream = globalThis.ReadableStream;\n if (typeof ReadableStream === 'undefined') {\n // Note: All of the platforms / runtimes we officially support already define\n // `ReadableStream` as a global, so this should only ever be hit on unsupported runtimes.\n throw new Error('`ReadableStream` is not defined as a global; You will need to polyfill it, `globalThis.ReadableStream = ReadableStream`');\n }\n return new ReadableStream(...args);\n}\nexport function ReadableStreamFrom(iterable) {\n let iter = Symbol.asyncIterator in iterable ? iterable[Symbol.asyncIterator]() : iterable[Symbol.iterator]();\n return makeReadableStream({\n start() { },\n async pull(controller) {\n const { done, value } = await iter.next();\n if (done) {\n controller.close();\n }\n else {\n controller.enqueue(value);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n}\n/**\n * Most browsers don't yet have async iterable support for ReadableStream,\n * and Node has a very different way of reading bytes from its \"ReadableStream\".\n *\n * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490\n */\nexport function ReadableStreamToAsyncIterable(stream) {\n if (stream[Symbol.asyncIterator])\n return stream;\n const reader = stream.getReader();\n return {\n async next() {\n try {\n const result = await reader.read();\n if (result?.done)\n reader.releaseLock(); // release lock when stream becomes closed\n return result;\n }\n catch (e) {\n reader.releaseLock(); // release lock when stream becomes errored\n throw e;\n }\n },\n async return() {\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n return { done: true, value: undefined };\n },\n [Symbol.asyncIterator]() {\n return this;\n },\n };\n}\n/**\n * Cancels a ReadableStream we don't need to consume.\n * See https://undici.nodejs.org/#/?id=garbage-collection\n */\nexport async function CancelReadableStream(stream) {\n if (stream === null || typeof stream !== 'object')\n return;\n if (stream[Symbol.asyncIterator]) {\n await stream[Symbol.asyncIterator]().return?.();\n return;\n }\n const reader = stream.getReader();\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n}\n//# sourceMappingURL=shims.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const FallbackEncoder = ({ headers, body }) => {\n return {\n bodyHeaders: {\n 'content-type': 'application/json',\n },\n body: JSON.stringify(body),\n };\n};\n//# sourceMappingURL=request-options.mjs.map","export const default_format = 'RFC3986';\nexport const default_formatter = (v) => String(v);\nexport const formatters = {\n RFC1738: (v) => String(v).replace(/%20/g, '+'),\n RFC3986: default_formatter,\n};\nexport const RFC1738 = 'RFC1738';\nexport const RFC3986 = 'RFC3986';\n//# sourceMappingURL=formats.mjs.map","import { RFC1738 } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nexport let has = (obj, key) => ((has = Object.hasOwn ?? Function.prototype.call.bind(Object.prototype.hasOwnProperty)),\n has(obj, key));\nconst hex_table = /* @__PURE__ */ (() => {\n const array = [];\n for (let i = 0; i < 256; ++i) {\n array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase());\n }\n return array;\n})();\nfunction compact_queue(queue) {\n while (queue.length > 1) {\n const item = queue.pop();\n if (!item)\n continue;\n const obj = item.obj[item.prop];\n if (isArray(obj)) {\n const compacted = [];\n for (let j = 0; j < obj.length; ++j) {\n if (typeof obj[j] !== 'undefined') {\n compacted.push(obj[j]);\n }\n }\n // @ts-ignore\n item.obj[item.prop] = compacted;\n }\n }\n}\nfunction array_to_object(source, options) {\n const obj = options && options.plainObjects ? Object.create(null) : {};\n for (let i = 0; i < source.length; ++i) {\n if (typeof source[i] !== 'undefined') {\n obj[i] = source[i];\n }\n }\n return obj;\n}\nexport function merge(target, source, options = {}) {\n if (!source) {\n return target;\n }\n if (typeof source !== 'object') {\n if (isArray(target)) {\n target.push(source);\n }\n else if (target && typeof target === 'object') {\n if ((options && (options.plainObjects || options.allowPrototypes)) || !has(Object.prototype, source)) {\n target[source] = true;\n }\n }\n else {\n return [target, source];\n }\n return target;\n }\n if (!target || typeof target !== 'object') {\n return [target].concat(source);\n }\n let mergeTarget = target;\n if (isArray(target) && !isArray(source)) {\n // @ts-ignore\n mergeTarget = array_to_object(target, options);\n }\n if (isArray(target) && isArray(source)) {\n source.forEach(function (item, i) {\n if (has(target, i)) {\n const targetItem = target[i];\n if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') {\n target[i] = merge(targetItem, item, options);\n }\n else {\n target.push(item);\n }\n }\n else {\n target[i] = item;\n }\n });\n return target;\n }\n return Object.keys(source).reduce(function (acc, key) {\n const value = source[key];\n if (has(acc, key)) {\n acc[key] = merge(acc[key], value, options);\n }\n else {\n acc[key] = value;\n }\n return acc;\n }, mergeTarget);\n}\nexport function assign_single_source(target, source) {\n return Object.keys(source).reduce(function (acc, key) {\n acc[key] = source[key];\n return acc;\n }, target);\n}\nexport function decode(str, _, charset) {\n const strWithoutPlus = str.replace(/\\+/g, ' ');\n if (charset === 'iso-8859-1') {\n // unescape never throws, no try...catch needed:\n return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape);\n }\n // utf-8\n try {\n return decodeURIComponent(strWithoutPlus);\n }\n catch (e) {\n return strWithoutPlus;\n }\n}\nconst limit = 1024;\nexport const encode = (str, _defaultEncoder, charset, _kind, format) => {\n // This code was originally written by Brian White for the io.js core querystring library.\n // It has been adapted here for stricter adherence to RFC 3986\n if (str.length === 0) {\n return str;\n }\n let string = str;\n if (typeof str === 'symbol') {\n string = Symbol.prototype.toString.call(str);\n }\n else if (typeof str !== 'string') {\n string = String(str);\n }\n if (charset === 'iso-8859-1') {\n return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) {\n return '%26%23' + parseInt($0.slice(2), 16) + '%3B';\n });\n }\n let out = '';\n for (let j = 0; j < string.length; j += limit) {\n const segment = string.length >= limit ? string.slice(j, j + limit) : string;\n const arr = [];\n for (let i = 0; i < segment.length; ++i) {\n let c = segment.charCodeAt(i);\n if (c === 0x2d || // -\n c === 0x2e || // .\n c === 0x5f || // _\n c === 0x7e || // ~\n (c >= 0x30 && c <= 0x39) || // 0-9\n (c >= 0x41 && c <= 0x5a) || // a-z\n (c >= 0x61 && c <= 0x7a) || // A-Z\n (format === RFC1738 && (c === 0x28 || c === 0x29)) // ( )\n ) {\n arr[arr.length] = segment.charAt(i);\n continue;\n }\n if (c < 0x80) {\n arr[arr.length] = hex_table[c];\n continue;\n }\n if (c < 0x800) {\n arr[arr.length] = hex_table[0xc0 | (c >> 6)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n if (c < 0xd800 || c >= 0xe000) {\n arr[arr.length] =\n hex_table[0xe0 | (c >> 12)] + hex_table[0x80 | ((c >> 6) & 0x3f)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n i += 1;\n c = 0x10000 + (((c & 0x3ff) << 10) | (segment.charCodeAt(i) & 0x3ff));\n arr[arr.length] =\n hex_table[0xf0 | (c >> 18)] +\n hex_table[0x80 | ((c >> 12) & 0x3f)] +\n hex_table[0x80 | ((c >> 6) & 0x3f)] +\n hex_table[0x80 | (c & 0x3f)];\n }\n out += arr.join('');\n }\n return out;\n};\nexport function compact(value) {\n const queue = [{ obj: { o: value }, prop: 'o' }];\n const refs = [];\n for (let i = 0; i < queue.length; ++i) {\n const item = queue[i];\n // @ts-ignore\n const obj = item.obj[item.prop];\n const keys = Object.keys(obj);\n for (let j = 0; j < keys.length; ++j) {\n const key = keys[j];\n const val = obj[key];\n if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) {\n queue.push({ obj: obj, prop: key });\n refs.push(val);\n }\n }\n }\n compact_queue(queue);\n return value;\n}\nexport function is_regexp(obj) {\n return Object.prototype.toString.call(obj) === '[object RegExp]';\n}\nexport function is_buffer(obj) {\n if (!obj || typeof obj !== 'object') {\n return false;\n }\n return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj));\n}\nexport function combine(a, b) {\n return [].concat(a, b);\n}\nexport function maybe_map(val, fn) {\n if (isArray(val)) {\n const mapped = [];\n for (let i = 0; i < val.length; i += 1) {\n mapped.push(fn(val[i]));\n }\n return mapped;\n }\n return fn(val);\n}\n//# sourceMappingURL=utils.mjs.map","import { encode, is_buffer, maybe_map, has } from \"./utils.mjs\";\nimport { default_format, default_formatter, formatters } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nconst array_prefix_generators = {\n brackets(prefix) {\n return String(prefix) + '[]';\n },\n comma: 'comma',\n indices(prefix, key) {\n return String(prefix) + '[' + key + ']';\n },\n repeat(prefix) {\n return String(prefix);\n },\n};\nconst push_to_array = function (arr, value_or_array) {\n Array.prototype.push.apply(arr, isArray(value_or_array) ? value_or_array : [value_or_array]);\n};\nlet toISOString;\nconst defaults = {\n addQueryPrefix: false,\n allowDots: false,\n allowEmptyArrays: false,\n arrayFormat: 'indices',\n charset: 'utf-8',\n charsetSentinel: false,\n delimiter: '&',\n encode: true,\n encodeDotInKeys: false,\n encoder: encode,\n encodeValuesOnly: false,\n format: default_format,\n formatter: default_formatter,\n /** @deprecated */\n indices: false,\n serializeDate(date) {\n return (toISOString ?? (toISOString = Function.prototype.call.bind(Date.prototype.toISOString)))(date);\n },\n skipNulls: false,\n strictNullHandling: false,\n};\nfunction is_non_nullish_primitive(v) {\n return (typeof v === 'string' ||\n typeof v === 'number' ||\n typeof v === 'boolean' ||\n typeof v === 'symbol' ||\n typeof v === 'bigint');\n}\nconst sentinel = {};\nfunction inner_stringify(object, prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, sideChannel) {\n let obj = object;\n let tmp_sc = sideChannel;\n let step = 0;\n let find_flag = false;\n while ((tmp_sc = tmp_sc.get(sentinel)) !== void undefined && !find_flag) {\n // Where object last appeared in the ref tree\n const pos = tmp_sc.get(object);\n step += 1;\n if (typeof pos !== 'undefined') {\n if (pos === step) {\n throw new RangeError('Cyclic object value');\n }\n else {\n find_flag = true; // Break while\n }\n }\n if (typeof tmp_sc.get(sentinel) === 'undefined') {\n step = 0;\n }\n }\n if (typeof filter === 'function') {\n obj = filter(prefix, obj);\n }\n else if (obj instanceof Date) {\n obj = serializeDate?.(obj);\n }\n else if (generateArrayPrefix === 'comma' && isArray(obj)) {\n obj = maybe_map(obj, function (value) {\n if (value instanceof Date) {\n return serializeDate?.(value);\n }\n return value;\n });\n }\n if (obj === null) {\n if (strictNullHandling) {\n return encoder && !encodeValuesOnly ?\n // @ts-expect-error\n encoder(prefix, defaults.encoder, charset, 'key', format)\n : prefix;\n }\n obj = '';\n }\n if (is_non_nullish_primitive(obj) || is_buffer(obj)) {\n if (encoder) {\n const key_value = encodeValuesOnly ? prefix\n // @ts-expect-error\n : encoder(prefix, defaults.encoder, charset, 'key', format);\n return [\n formatter?.(key_value) +\n '=' +\n // @ts-expect-error\n formatter?.(encoder(obj, defaults.encoder, charset, 'value', format)),\n ];\n }\n return [formatter?.(prefix) + '=' + formatter?.(String(obj))];\n }\n const values = [];\n if (typeof obj === 'undefined') {\n return values;\n }\n let obj_keys;\n if (generateArrayPrefix === 'comma' && isArray(obj)) {\n // we need to join elements in\n if (encodeValuesOnly && encoder) {\n // @ts-expect-error values only\n obj = maybe_map(obj, encoder);\n }\n obj_keys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }];\n }\n else if (isArray(filter)) {\n obj_keys = filter;\n }\n else {\n const keys = Object.keys(obj);\n obj_keys = sort ? keys.sort(sort) : keys;\n }\n const encoded_prefix = encodeDotInKeys ? String(prefix).replace(/\\./g, '%2E') : String(prefix);\n const adjusted_prefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? encoded_prefix + '[]' : encoded_prefix;\n if (allowEmptyArrays && isArray(obj) && obj.length === 0) {\n return adjusted_prefix + '[]';\n }\n for (let j = 0; j < obj_keys.length; ++j) {\n const key = obj_keys[j];\n const value = \n // @ts-ignore\n typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key];\n if (skipNulls && value === null) {\n continue;\n }\n // @ts-ignore\n const encoded_key = allowDots && encodeDotInKeys ? key.replace(/\\./g, '%2E') : key;\n const key_prefix = isArray(obj) ?\n typeof generateArrayPrefix === 'function' ?\n generateArrayPrefix(adjusted_prefix, encoded_key)\n : adjusted_prefix\n : adjusted_prefix + (allowDots ? '.' + encoded_key : '[' + encoded_key + ']');\n sideChannel.set(object, step);\n const valueSideChannel = new WeakMap();\n valueSideChannel.set(sentinel, sideChannel);\n push_to_array(values, inner_stringify(value, key_prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, \n // @ts-ignore\n generateArrayPrefix === 'comma' && encodeValuesOnly && isArray(obj) ? null : encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, valueSideChannel));\n }\n return values;\n}\nfunction normalize_stringify_options(opts = defaults) {\n if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n }\n if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') {\n throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided');\n }\n if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') {\n throw new TypeError('Encoder has to be a function.');\n }\n const charset = opts.charset || defaults.charset;\n if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n }\n let format = default_format;\n if (typeof opts.format !== 'undefined') {\n if (!has(formatters, opts.format)) {\n throw new TypeError('Unknown format option provided.');\n }\n format = opts.format;\n }\n const formatter = formatters[format];\n let filter = defaults.filter;\n if (typeof opts.filter === 'function' || isArray(opts.filter)) {\n filter = opts.filter;\n }\n let arrayFormat;\n if (opts.arrayFormat && opts.arrayFormat in array_prefix_generators) {\n arrayFormat = opts.arrayFormat;\n }\n else if ('indices' in opts) {\n arrayFormat = opts.indices ? 'indices' : 'repeat';\n }\n else {\n arrayFormat = defaults.arrayFormat;\n }\n if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') {\n throw new TypeError('`commaRoundTrip` must be a boolean, or absent');\n }\n const allowDots = typeof opts.allowDots === 'undefined' ?\n !!opts.encodeDotInKeys === true ?\n true\n : defaults.allowDots\n : !!opts.allowDots;\n return {\n addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix,\n // @ts-ignore\n allowDots: allowDots,\n allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n arrayFormat: arrayFormat,\n charset: charset,\n charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n commaRoundTrip: !!opts.commaRoundTrip,\n delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter,\n encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode,\n encodeDotInKeys: typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys,\n encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder,\n encodeValuesOnly: typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly,\n filter: filter,\n format: format,\n formatter: formatter,\n serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate,\n skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls,\n // @ts-ignore\n sort: typeof opts.sort === 'function' ? opts.sort : null,\n strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling,\n };\n}\nexport function stringify(object, opts = {}) {\n let obj = object;\n const options = normalize_stringify_options(opts);\n let obj_keys;\n let filter;\n if (typeof options.filter === 'function') {\n filter = options.filter;\n obj = filter('', obj);\n }\n else if (isArray(options.filter)) {\n filter = options.filter;\n obj_keys = filter;\n }\n const keys = [];\n if (typeof obj !== 'object' || obj === null) {\n return '';\n }\n const generateArrayPrefix = array_prefix_generators[options.arrayFormat];\n const commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip;\n if (!obj_keys) {\n obj_keys = Object.keys(obj);\n }\n if (options.sort) {\n obj_keys.sort(options.sort);\n }\n const sideChannel = new WeakMap();\n for (let i = 0; i < obj_keys.length; ++i) {\n const key = obj_keys[i];\n if (options.skipNulls && obj[key] === null) {\n continue;\n }\n push_to_array(keys, inner_stringify(obj[key], key, \n // @ts-expect-error\n generateArrayPrefix, commaRoundTrip, options.allowEmptyArrays, options.strictNullHandling, options.skipNulls, options.encodeDotInKeys, options.encode ? options.encoder : null, options.filter, options.sort, options.allowDots, options.serializeDate, options.format, options.formatter, options.encodeValuesOnly, options.charset, sideChannel));\n }\n const joined = keys.join(options.delimiter);\n let prefix = options.addQueryPrefix === true ? '?' : '';\n if (options.charsetSentinel) {\n if (options.charset === 'iso-8859-1') {\n // encodeURIComponent('✓'), the \"numeric entity\" representation of a checkmark\n prefix += 'utf8=%26%2310003%3B&';\n }\n else {\n // encodeURIComponent('✓')\n prefix += 'utf8=%E2%9C%93&';\n }\n }\n return joined.length > 0 ? prefix + joined : '';\n}\n//# sourceMappingURL=stringify.mjs.map","export function concatBytes(buffers) {\n let length = 0;\n for (const buffer of buffers) {\n length += buffer.length;\n }\n const output = new Uint8Array(length);\n let index = 0;\n for (const buffer of buffers) {\n output.set(buffer, index);\n index += buffer.length;\n }\n return output;\n}\nlet encodeUTF8_;\nexport function encodeUTF8(str) {\n let encoder;\n return (encodeUTF8_ ??\n ((encoder = new globalThis.TextEncoder()), (encodeUTF8_ = encoder.encode.bind(encoder))))(str);\n}\nlet decodeUTF8_;\nexport function decodeUTF8(bytes) {\n let decoder;\n return (decodeUTF8_ ??\n ((decoder = new globalThis.TextDecoder()), (decodeUTF8_ = decoder.decode.bind(decoder))))(bytes);\n}\n//# sourceMappingURL=bytes.mjs.map","var _LineDecoder_buffer, _LineDecoder_carriageReturnIndex;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../tslib.mjs\";\nimport { concatBytes, decodeUTF8, encodeUTF8 } from \"../utils/bytes.mjs\";\n/**\n * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally\n * reading lines from text.\n *\n * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258\n */\nexport class LineDecoder {\n constructor() {\n _LineDecoder_buffer.set(this, void 0);\n _LineDecoder_carriageReturnIndex.set(this, void 0);\n __classPrivateFieldSet(this, _LineDecoder_buffer, new Uint8Array(), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n decode(chunk) {\n if (chunk == null) {\n return [];\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n __classPrivateFieldSet(this, _LineDecoder_buffer, concatBytes([__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), binaryChunk]), \"f\");\n const lines = [];\n let patternIndex;\n while ((patternIndex = findNewlineIndex(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\"))) != null) {\n if (patternIndex.carriage && __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") == null) {\n // skip until we either get a corresponding `\\n`, a new `\\r` or nothing\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, patternIndex.index, \"f\");\n continue;\n }\n // we got double \\r or \\rtext\\n\n if (__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") != null &&\n (patternIndex.index !== __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") + 1 || patternIndex.carriage)) {\n lines.push(decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") - 1)));\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\")), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n continue;\n }\n const endIndex = __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") !== null ? patternIndex.preceding - 1 : patternIndex.preceding;\n const line = decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, endIndex));\n lines.push(line);\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(patternIndex.index), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n return lines;\n }\n flush() {\n if (!__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").length) {\n return [];\n }\n return this.decode('\\n');\n }\n}\n_LineDecoder_buffer = new WeakMap(), _LineDecoder_carriageReturnIndex = new WeakMap();\n// prettier-ignore\nLineDecoder.NEWLINE_CHARS = new Set(['\\n', '\\r']);\nLineDecoder.NEWLINE_REGEXP = /\\r\\n|[\\n\\r]/g;\n/**\n * This function searches the buffer for the end patterns, (\\r or \\n)\n * and returns an object with the index preceding the matched newline and the\n * index after the newline char. `null` is returned if no new line is found.\n *\n * ```ts\n * findNewLineIndex('abc\\ndef') -> { preceding: 2, index: 3 }\n * ```\n */\nfunction findNewlineIndex(buffer, startIndex) {\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = startIndex ?? 0; i < buffer.length; i++) {\n if (buffer[i] === newline) {\n return { preceding: i, index: i + 1, carriage: false };\n }\n if (buffer[i] === carriage) {\n return { preceding: i, index: i + 1, carriage: true };\n }\n }\n return null;\n}\nexport function findDoubleNewlineIndex(buffer) {\n // This function searches the buffer for the end patterns (\\r\\r, \\n\\n, \\r\\n\\r\\n)\n // and returns the index right after the first occurrence of any pattern,\n // or -1 if none of the patterns are found.\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = 0; i < buffer.length - 1; i++) {\n if (buffer[i] === newline && buffer[i + 1] === newline) {\n // \\n\\n\n return i + 2;\n }\n if (buffer[i] === carriage && buffer[i + 1] === carriage) {\n // \\r\\r\n return i + 2;\n }\n if (buffer[i] === carriage &&\n buffer[i + 1] === newline &&\n i + 3 < buffer.length &&\n buffer[i + 2] === carriage &&\n buffer[i + 3] === newline) {\n // \\r\\n\\r\\n\n return i + 4;\n }\n }\n return -1;\n}\n//# sourceMappingURL=line.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { hasOwn } from \"./values.mjs\";\nconst levelNumbers = {\n off: 0,\n error: 200,\n warn: 300,\n info: 400,\n debug: 500,\n};\nexport const parseLogLevel = (maybeLevel, sourceName, client) => {\n if (!maybeLevel) {\n return undefined;\n }\n if (hasOwn(levelNumbers, maybeLevel)) {\n return maybeLevel;\n }\n loggerFor(client).warn(`${sourceName} was set to ${JSON.stringify(maybeLevel)}, expected one of ${JSON.stringify(Object.keys(levelNumbers))}`);\n return undefined;\n};\nfunction noop() { }\nfunction makeLogFn(fnLevel, logger, logLevel) {\n if (!logger || levelNumbers[fnLevel] > levelNumbers[logLevel]) {\n return noop;\n }\n else {\n // Don't wrap logger functions, we want the stacktrace intact!\n return logger[fnLevel].bind(logger);\n }\n}\nconst noopLogger = {\n error: noop,\n warn: noop,\n info: noop,\n debug: noop,\n};\nlet cachedLoggers = /* @__PURE__ */ new WeakMap();\nexport function loggerFor(client) {\n const logger = client.logger;\n const logLevel = client.logLevel ?? 'off';\n if (!logger) {\n return noopLogger;\n }\n const cachedLogger = cachedLoggers.get(logger);\n if (cachedLogger && cachedLogger[0] === logLevel) {\n return cachedLogger[1];\n }\n const levelLogger = {\n error: makeLogFn('error', logger, logLevel),\n warn: makeLogFn('warn', logger, logLevel),\n info: makeLogFn('info', logger, logLevel),\n debug: makeLogFn('debug', logger, logLevel),\n };\n cachedLoggers.set(logger, [logLevel, levelLogger]);\n return levelLogger;\n}\nexport const formatRequestDetails = (details) => {\n if (details.options) {\n details.options = { ...details.options };\n delete details.options['headers']; // redundant + leaks internals\n }\n if (details.headers) {\n details.headers = Object.fromEntries((details.headers instanceof Headers ? [...details.headers] : Object.entries(details.headers)).map(([name, value]) => [\n name,\n (name.toLowerCase() === 'authorization' ||\n name.toLowerCase() === 'cookie' ||\n name.toLowerCase() === 'set-cookie') ?\n '***'\n : value,\n ]));\n }\n if ('retryOfRequestLogID' in details) {\n if (details.retryOfRequestLogID) {\n details.retryOf = details.retryOfRequestLogID;\n }\n delete details.retryOfRequestLogID;\n }\n return details;\n};\n//# sourceMappingURL=log.mjs.map","var _Stream_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { makeReadableStream } from \"../internal/shims.mjs\";\nimport { findDoubleNewlineIndex, LineDecoder } from \"../internal/decoders/line.mjs\";\nimport { ReadableStreamToAsyncIterable } from \"../internal/shims.mjs\";\nimport { isAbortError } from \"../internal/errors.mjs\";\nimport { encodeUTF8 } from \"../internal/utils/bytes.mjs\";\nimport { loggerFor } from \"../internal/utils/log.mjs\";\nimport { APIError } from \"./error.mjs\";\nexport class Stream {\n constructor(iterator, controller, client) {\n this.iterator = iterator;\n _Stream_client.set(this, void 0);\n this.controller = controller;\n __classPrivateFieldSet(this, _Stream_client, client, \"f\");\n }\n static fromSSEResponse(response, controller, client) {\n let consumed = false;\n const logger = client ? loggerFor(client) : console;\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const sse of _iterSSEMessages(response, controller)) {\n if (done)\n continue;\n if (sse.data.startsWith('[DONE]')) {\n done = true;\n continue;\n }\n if (sse.event === null || !sse.event.startsWith('thread.')) {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n logger.error(`Could not parse message into JSON:`, sse.data);\n logger.error(`From chunk:`, sse.raw);\n throw e;\n }\n if (data && data.error) {\n throw new APIError(undefined, data.error, undefined, response.headers);\n }\n yield data;\n }\n else {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n console.error(`Could not parse message into JSON:`, sse.data);\n console.error(`From chunk:`, sse.raw);\n throw e;\n }\n // TODO: Is this where the error should be thrown?\n if (sse.event == 'error') {\n throw new APIError(undefined, data.error, data.message, undefined);\n }\n yield { event: sse.event, data: data };\n }\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n /**\n * Generates a Stream from a newline-separated ReadableStream\n * where each item is a JSON value.\n */\n static fromReadableStream(readableStream, controller, client) {\n let consumed = false;\n async function* iterLines() {\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(readableStream);\n for await (const chunk of iter) {\n for (const line of lineDecoder.decode(chunk)) {\n yield line;\n }\n }\n for (const line of lineDecoder.flush()) {\n yield line;\n }\n }\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const line of iterLines()) {\n if (done)\n continue;\n if (line)\n yield JSON.parse(line);\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n [(_Stream_client = new WeakMap(), Symbol.asyncIterator)]() {\n return this.iterator();\n }\n /**\n * Splits the stream into two streams which can be\n * independently read from at different speeds.\n */\n tee() {\n const left = [];\n const right = [];\n const iterator = this.iterator();\n const teeIterator = (queue) => {\n return {\n next: () => {\n if (queue.length === 0) {\n const result = iterator.next();\n left.push(result);\n right.push(result);\n }\n return queue.shift();\n },\n };\n };\n return [\n new Stream(() => teeIterator(left), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n new Stream(() => teeIterator(right), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n ];\n }\n /**\n * Converts this stream to a newline-separated ReadableStream of\n * JSON stringified values in the stream\n * which can be turned back into a Stream with `Stream.fromReadableStream()`.\n */\n toReadableStream() {\n const self = this;\n let iter;\n return makeReadableStream({\n async start() {\n iter = self[Symbol.asyncIterator]();\n },\n async pull(ctrl) {\n try {\n const { value, done } = await iter.next();\n if (done)\n return ctrl.close();\n const bytes = encodeUTF8(JSON.stringify(value) + '\\n');\n ctrl.enqueue(bytes);\n }\n catch (err) {\n ctrl.error(err);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n }\n}\nexport async function* _iterSSEMessages(response, controller) {\n if (!response.body) {\n controller.abort();\n if (typeof globalThis.navigator !== 'undefined' &&\n globalThis.navigator.product === 'ReactNative') {\n throw new OpenAIError(`The default react-native fetch implementation does not support streaming. Please use expo/fetch: https://docs.expo.dev/versions/latest/sdk/expo/#expofetch-api`);\n }\n throw new OpenAIError(`Attempted to iterate over a response with no body`);\n }\n const sseDecoder = new SSEDecoder();\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(response.body);\n for await (const sseChunk of iterSSEChunks(iter)) {\n for (const line of lineDecoder.decode(sseChunk)) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n }\n for (const line of lineDecoder.flush()) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n}\n/**\n * Given an async iterable iterator, iterates over it and yields full\n * SSE chunks, i.e. yields when a double new-line is encountered.\n */\nasync function* iterSSEChunks(iterator) {\n let data = new Uint8Array();\n for await (const chunk of iterator) {\n if (chunk == null) {\n continue;\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n let newData = new Uint8Array(data.length + binaryChunk.length);\n newData.set(data);\n newData.set(binaryChunk, data.length);\n data = newData;\n let patternIndex;\n while ((patternIndex = findDoubleNewlineIndex(data)) !== -1) {\n yield data.slice(0, patternIndex);\n data = data.slice(patternIndex);\n }\n }\n if (data.length > 0) {\n yield data;\n }\n}\nclass SSEDecoder {\n constructor() {\n this.event = null;\n this.data = [];\n this.chunks = [];\n }\n decode(line) {\n if (line.endsWith('\\r')) {\n line = line.substring(0, line.length - 1);\n }\n if (!line) {\n // empty line and we didn't previously encounter any messages\n if (!this.event && !this.data.length)\n return null;\n const sse = {\n event: this.event,\n data: this.data.join('\\n'),\n raw: this.chunks,\n };\n this.event = null;\n this.data = [];\n this.chunks = [];\n return sse;\n }\n this.chunks.push(line);\n if (line.startsWith(':')) {\n return null;\n }\n let [fieldname, _, value] = partition(line, ':');\n if (value.startsWith(' ')) {\n value = value.substring(1);\n }\n if (fieldname === 'event') {\n this.event = value;\n }\n else if (fieldname === 'data') {\n this.data.push(value);\n }\n return null;\n }\n}\nfunction partition(str, delimiter) {\n const index = str.indexOf(delimiter);\n if (index !== -1) {\n return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)];\n }\n return [str, '', ''];\n}\n//# sourceMappingURL=streaming.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _APIPromise_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { defaultParseResponse, addRequestID, } from \"../internal/parse.mjs\";\n/**\n * A subclass of `Promise` providing additional helper methods\n * for interacting with the SDK.\n */\nexport class APIPromise extends Promise {\n constructor(client, responsePromise, parseResponse = defaultParseResponse) {\n super((resolve) => {\n // this is maybe a bit weird but this has to be a no-op to not implicitly\n // parse the response body; instead .then, .catch, .finally are overridden\n // to parse the response\n resolve(null);\n });\n this.responsePromise = responsePromise;\n this.parseResponse = parseResponse;\n _APIPromise_client.set(this, void 0);\n __classPrivateFieldSet(this, _APIPromise_client, client, \"f\");\n }\n _thenUnwrap(transform) {\n return new APIPromise(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), this.responsePromise, async (client, props) => addRequestID(transform(await this.parseResponse(client, props), props), props.response));\n }\n /**\n * Gets the raw `Response` instance instead of parsing the response\n * data.\n *\n * If you want to parse the response body but still get the `Response`\n * instance, you can use {@link withResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n asResponse() {\n return this.responsePromise.then((p) => p.response);\n }\n /**\n * Gets the parsed response data, the raw `Response` instance and the ID of the request,\n * returned via the X-Request-ID header which is useful for debugging requests and reporting\n * issues to OpenAI.\n *\n * If you just want to get the raw `Response` instance without parsing it,\n * you can use {@link asResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n async withResponse() {\n const [data, response] = await Promise.all([this.parse(), this.asResponse()]);\n return { data, response, request_id: response.headers.get('x-request-id') };\n }\n parse() {\n if (!this.parsedPromise) {\n this.parsedPromise = this.responsePromise.then((data) => this.parseResponse(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), data));\n }\n return this.parsedPromise;\n }\n then(onfulfilled, onrejected) {\n return this.parse().then(onfulfilled, onrejected);\n }\n catch(onrejected) {\n return this.parse().catch(onrejected);\n }\n finally(onfinally) {\n return this.parse().finally(onfinally);\n }\n}\n_APIPromise_client = new WeakMap();\n//# sourceMappingURL=api-promise.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _AbstractPage_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { defaultParseResponse } from \"../internal/parse.mjs\";\nimport { APIPromise } from \"./api-promise.mjs\";\nimport { maybeObj } from \"../internal/utils/values.mjs\";\nexport class AbstractPage {\n constructor(client, response, body, options) {\n _AbstractPage_client.set(this, void 0);\n __classPrivateFieldSet(this, _AbstractPage_client, client, \"f\");\n this.options = options;\n this.response = response;\n this.body = body;\n }\n hasNextPage() {\n const items = this.getPaginatedItems();\n if (!items.length)\n return false;\n return this.nextPageRequestOptions() != null;\n }\n async getNextPage() {\n const nextOptions = this.nextPageRequestOptions();\n if (!nextOptions) {\n throw new OpenAIError('No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.');\n }\n return await __classPrivateFieldGet(this, _AbstractPage_client, \"f\").requestAPIList(this.constructor, nextOptions);\n }\n async *iterPages() {\n let page = this;\n yield page;\n while (page.hasNextPage()) {\n page = await page.getNextPage();\n yield page;\n }\n }\n async *[(_AbstractPage_client = new WeakMap(), Symbol.asyncIterator)]() {\n for await (const page of this.iterPages()) {\n for (const item of page.getPaginatedItems()) {\n yield item;\n }\n }\n }\n}\n/**\n * This subclass of Promise will resolve to an instantiated Page once the request completes.\n *\n * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\nexport class PagePromise extends APIPromise {\n constructor(client, request, Page) {\n super(client, request, async (client, props) => new Page(client, props.response, await defaultParseResponse(client, props), props.options));\n }\n /**\n * Allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\n async *[Symbol.asyncIterator]() {\n const page = await this;\n for await (const item of page) {\n yield item;\n }\n }\n}\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class Page extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.object = body.object;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n nextPageRequestOptions() {\n return null;\n }\n}\nexport class CursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const data = this.getPaginatedItems();\n const id = data[data.length - 1]?.id;\n if (!id) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: id,\n },\n };\n }\n}\nexport class ConversationCursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n this.last_id = body.last_id || '';\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const cursor = this.last_id;\n if (!cursor) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: cursor,\n },\n };\n }\n}\n//# sourceMappingURL=pagination.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { Stream } from \"../core/streaming.mjs\";\nimport { formatRequestDetails, loggerFor } from \"./utils/log.mjs\";\nexport async function defaultParseResponse(client, props) {\n const { response, requestLogID, retryOfRequestLogID, startTime } = props;\n const body = await (async () => {\n if (props.options.stream) {\n loggerFor(client).debug('response', response.status, response.url, response.headers, response.body);\n // Note: there is an invariant here that isn't represented in the type system\n // that if you set `stream: true` the response type must also be `Stream`\n if (props.options.__streamClass) {\n return props.options.__streamClass.fromSSEResponse(response, props.controller, client);\n }\n return Stream.fromSSEResponse(response, props.controller, client);\n }\n // fetch refuses to read the body when the status code is 204.\n if (response.status === 204) {\n return null;\n }\n if (props.options.__binaryResponse) {\n return response;\n }\n const contentType = response.headers.get('content-type');\n const mediaType = contentType?.split(';')[0]?.trim();\n const isJSON = mediaType?.includes('application/json') || mediaType?.endsWith('+json');\n if (isJSON) {\n const json = await response.json();\n return addRequestID(json, response);\n }\n const text = await response.text();\n return text;\n })();\n loggerFor(client).debug(`[${requestLogID}] response parsed`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n body,\n durationMs: Date.now() - startTime,\n }));\n return body;\n}\nexport function addRequestID(value, response) {\n if (!value || typeof value !== 'object' || Array.isArray(value)) {\n return value;\n }\n return Object.defineProperty(value, '_request_id', {\n value: response.headers.get('x-request-id'),\n enumerable: false,\n });\n}\n//# sourceMappingURL=parse.mjs.map","import { ReadableStreamFrom } from \"./shims.mjs\";\nexport const checkFileSupport = () => {\n if (typeof File === 'undefined') {\n const { process } = globalThis;\n const isOldNode = typeof process?.versions?.node === 'string' && parseInt(process.versions.node.split('.')) < 20;\n throw new Error('`File` is not defined as a global, which is required for file uploads.' +\n (isOldNode ?\n \" Update to Node 20 LTS or newer, or set `globalThis.File` to `import('node:buffer').File`.\"\n : ''));\n }\n};\n/**\n * Construct a `File` instance. This is used to ensure a helpful error is thrown\n * for environments that don't define a global `File` yet.\n */\nexport function makeFile(fileBits, fileName, options) {\n checkFileSupport();\n return new File(fileBits, fileName ?? 'unknown_file', options);\n}\nexport function getName(value) {\n return (((typeof value === 'object' &&\n value !== null &&\n (('name' in value && value.name && String(value.name)) ||\n ('url' in value && value.url && String(value.url)) ||\n ('filename' in value && value.filename && String(value.filename)) ||\n ('path' in value && value.path && String(value.path)))) ||\n '')\n .split(/[\\\\/]/)\n .pop() || undefined);\n}\nexport const isAsyncIterable = (value) => value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function';\n/**\n * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value.\n * Otherwise returns the request as is.\n */\nexport const maybeMultipartFormRequestOptions = async (opts, fetch) => {\n if (!hasUploadableValue(opts.body))\n return opts;\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nexport const multipartFormRequestOptions = async (opts, fetch) => {\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nconst supportsFormDataMap = /* @__PURE__ */ new WeakMap();\n/**\n * node-fetch doesn't support the global FormData object in recent node versions. Instead of sending\n * properly-encoded form data, it just stringifies the object, resulting in a request body of \"[object FormData]\".\n * This function detects if the fetch function provided supports the global FormData object to avoid\n * confusing error messages later on.\n */\nfunction supportsFormData(fetchObject) {\n const fetch = typeof fetchObject === 'function' ? fetchObject : fetchObject.fetch;\n const cached = supportsFormDataMap.get(fetch);\n if (cached)\n return cached;\n const promise = (async () => {\n try {\n const FetchResponse = ('Response' in fetch ?\n fetch.Response\n : (await fetch('data:,')).constructor);\n const data = new FormData();\n if (data.toString() === (await new FetchResponse(data).text())) {\n return false;\n }\n return true;\n }\n catch {\n // avoid false negatives\n return true;\n }\n })();\n supportsFormDataMap.set(fetch, promise);\n return promise;\n}\nexport const createForm = async (body, fetch) => {\n if (!(await supportsFormData(fetch))) {\n throw new TypeError('The provided fetch function does not support file uploads with the current global FormData class.');\n }\n const form = new FormData();\n await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value)));\n return form;\n};\n// We check for Blob not File because Bun.File doesn't inherit from File,\n// but they both inherit from Blob and have a `name` property at runtime.\nconst isNamedBlob = (value) => value instanceof Blob && 'name' in value;\nconst isUploadable = (value) => typeof value === 'object' &&\n value !== null &&\n (value instanceof Response || isAsyncIterable(value) || isNamedBlob(value));\nconst hasUploadableValue = (value) => {\n if (isUploadable(value))\n return true;\n if (Array.isArray(value))\n return value.some(hasUploadableValue);\n if (value && typeof value === 'object') {\n for (const k in value) {\n if (hasUploadableValue(value[k]))\n return true;\n }\n }\n return false;\n};\nconst addFormValue = async (form, key, value) => {\n if (value === undefined)\n return;\n if (value == null) {\n throw new TypeError(`Received null for \"${key}\"; to pass null in FormData, you must use the string 'null'`);\n }\n // TODO: make nested formats configurable\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n form.append(key, String(value));\n }\n else if (value instanceof Response) {\n form.append(key, makeFile([await value.blob()], getName(value)));\n }\n else if (isAsyncIterable(value)) {\n form.append(key, makeFile([await new Response(ReadableStreamFrom(value)).blob()], getName(value)));\n }\n else if (isNamedBlob(value)) {\n form.append(key, value, getName(value));\n }\n else if (Array.isArray(value)) {\n await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry)));\n }\n else if (typeof value === 'object') {\n await Promise.all(Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)));\n }\n else {\n throw new TypeError(`Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`);\n }\n};\n//# sourceMappingURL=uploads.mjs.map","import { getName, makeFile, isAsyncIterable } from \"./uploads.mjs\";\nimport { checkFileSupport } from \"./uploads.mjs\";\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isBlobLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.size === 'number' &&\n typeof value.type === 'string' &&\n typeof value.text === 'function' &&\n typeof value.slice === 'function' &&\n typeof value.arrayBuffer === 'function';\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isFileLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.name === 'string' &&\n typeof value.lastModified === 'number' &&\n isBlobLike(value);\nconst isResponseLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.url === 'string' &&\n typeof value.blob === 'function';\n/**\n * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats\n * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s\n * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible\n * @param {Object=} options additional properties\n * @param {string=} options.type the MIME type of the content\n * @param {number=} options.lastModified the last modified timestamp\n * @returns a {@link File} with the given properties\n */\nexport async function toFile(value, name, options) {\n checkFileSupport();\n // If it's a promise, resolve it.\n value = await value;\n // If we've been given a `File` we don't need to do anything\n if (isFileLike(value)) {\n if (value instanceof File) {\n return value;\n }\n return makeFile([await value.arrayBuffer()], value.name);\n }\n if (isResponseLike(value)) {\n const blob = await value.blob();\n name || (name = new URL(value.url).pathname.split(/[\\\\/]/).pop());\n return makeFile(await getBytes(blob), name, options);\n }\n const parts = await getBytes(value);\n name || (name = getName(value));\n if (!options?.type) {\n const type = parts.find((part) => typeof part === 'object' && 'type' in part && part.type);\n if (typeof type === 'string') {\n options = { ...options, type };\n }\n }\n return makeFile(parts, name, options);\n}\nasync function getBytes(value) {\n let parts = [];\n if (typeof value === 'string' ||\n ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc.\n value instanceof ArrayBuffer) {\n parts.push(value);\n }\n else if (isBlobLike(value)) {\n parts.push(value instanceof Blob ? value : await value.arrayBuffer());\n }\n else if (isAsyncIterable(value) // includes Readable, ReadableStream, etc.\n ) {\n for await (const chunk of value) {\n parts.push(...(await getBytes(chunk))); // TODO, consider validating?\n }\n }\n else {\n const constructor = value?.constructor?.name;\n throw new Error(`Unexpected data type: ${typeof value}${constructor ? `; constructor: ${constructor}` : ''}${propsForError(value)}`);\n }\n return parts;\n}\nfunction propsForError(value) {\n if (typeof value !== 'object' || value === null)\n return '';\n const props = Object.getOwnPropertyNames(value);\n return `; props: [${props.map((p) => `\"${p}\"`).join(', ')}]`;\n}\n//# sourceMappingURL=to-file.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport class APIResource {\n constructor(client) {\n this._client = client;\n }\n}\n//# sourceMappingURL=resource.mjs.map","import { OpenAIError } from \"../../core/error.mjs\";\n/**\n * Percent-encode everything that isn't safe to have in a path without encoding safe chars.\n *\n * Taken from https://datatracker.ietf.org/doc/html/rfc3986#section-3.3:\n * > unreserved = ALPHA / DIGIT / \"-\" / \".\" / \"_\" / \"~\"\n * > sub-delims = \"!\" / \"$\" / \"&\" / \"'\" / \"(\" / \")\" / \"*\" / \"+\" / \",\" / \";\" / \"=\"\n * > pchar = unreserved / pct-encoded / sub-delims / \":\" / \"@\"\n */\nexport function encodeURIPath(str) {\n return str.replace(/[^A-Za-z0-9\\-._~!$&'()*+,;=:@]+/g, encodeURIComponent);\n}\nconst EMPTY = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.create(null));\nexport const createPathTagFunction = (pathEncoder = encodeURIPath) => function path(statics, ...params) {\n // If there are no params, no processing is needed.\n if (statics.length === 1)\n return statics[0];\n let postPath = false;\n const invalidSegments = [];\n const path = statics.reduce((previousValue, currentValue, index) => {\n if (/[?#]/.test(currentValue)) {\n postPath = true;\n }\n const value = params[index];\n let encoded = (postPath ? encodeURIComponent : pathEncoder)('' + value);\n if (index !== params.length &&\n (value == null ||\n (typeof value === 'object' &&\n // handle values from other realms\n value.toString ===\n Object.getPrototypeOf(Object.getPrototypeOf(value.hasOwnProperty ?? EMPTY) ?? EMPTY)\n ?.toString))) {\n encoded = value + '';\n invalidSegments.push({\n start: previousValue.length + currentValue.length,\n length: encoded.length,\n error: `Value of type ${Object.prototype.toString\n .call(value)\n .slice(8, -1)} is not a valid path parameter`,\n });\n }\n return previousValue + currentValue + (index === params.length ? '' : encoded);\n }, '');\n const pathOnly = path.split(/[?#]/, 1)[0];\n const invalidSegmentPattern = /(?<=^|\\/)(?:\\.|%2e){1,2}(?=\\/|$)/gi;\n let match;\n // Find all invalid segments\n while ((match = invalidSegmentPattern.exec(pathOnly)) !== null) {\n invalidSegments.push({\n start: match.index,\n length: match[0].length,\n error: `Value \"${match[0]}\" can\\'t be safely passed as a path parameter`,\n });\n }\n invalidSegments.sort((a, b) => a.start - b.start);\n if (invalidSegments.length > 0) {\n let lastEnd = 0;\n const underline = invalidSegments.reduce((acc, segment) => {\n const spaces = ' '.repeat(segment.start - lastEnd);\n const arrows = '^'.repeat(segment.length);\n lastEnd = segment.start + segment.length;\n return acc + spaces + arrows;\n }, '');\n throw new OpenAIError(`Path parameters result in path with invalid segments:\\n${invalidSegments\n .map((e) => e.error)\n .join('\\n')}\\n${path}\\n${underline}`);\n }\n return path;\n};\n/**\n * URI-encodes path params and ensures no unsafe /./ or /../ path segments are introduced.\n */\nexport const path = /* @__PURE__ */ createPathTagFunction(encodeURIPath);\n//# sourceMappingURL=path.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Messages extends APIResource {\n /**\n * Get the messages in a stored chat completion. Only Chat Completions that have\n * been created with the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list(\n * 'completion_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(completionID, query = {}, options) {\n return this._client.getAPIList(path `/chat/completions/${completionID}/messages`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=messages.mjs.map","import { ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError } from \"../error.mjs\";\nexport function isChatCompletionFunctionTool(tool) {\n return tool !== undefined && 'function' in tool && tool.function !== undefined;\n}\nexport function makeParseableResponseFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function makeParseableTextFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableResponseFormat(response_format) {\n return response_format?.['$brand'] === 'auto-parseable-response-format';\n}\nexport function makeParseableTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nexport function maybeParseChatCompletion(completion, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...completion,\n choices: completion.choices.map((choice) => {\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n parsed: null,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls,\n }\n : undefined),\n },\n };\n }),\n };\n }\n return parseChatCompletion(completion, params);\n}\nexport function parseChatCompletion(completion, params) {\n const choices = completion.choices.map((choice) => {\n if (choice.finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (choice.finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls?.map((toolCall) => parseToolCall(params, toolCall)) ?? undefined,\n }\n : undefined),\n parsed: choice.message.content && !choice.message.refusal ?\n parseResponseFormat(params, choice.message.content)\n : null,\n },\n };\n });\n return { ...completion, choices };\n}\nfunction parseResponseFormat(params, content) {\n if (params.response_format?.type !== 'json_schema') {\n return null;\n }\n if (params.response_format?.type === 'json_schema') {\n if ('$parseRaw' in params.response_format) {\n const response_format = params.response_format;\n return response_format.$parseRaw(content);\n }\n return JSON.parse(content);\n }\n return null;\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name); // TS doesn't narrow based on isChatCompletionTool\n return {\n ...toolCall,\n function: {\n ...toolCall.function,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCall.function.arguments)\n : null,\n },\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params || !('tools' in params) || !params.tools) {\n return false;\n }\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name);\n return (isChatCompletionFunctionTool(inputTool) &&\n (isAutoParsableTool(inputTool) || inputTool?.function.strict || false));\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.response_format)) {\n return true;\n }\n return (params.tools?.some((t) => isAutoParsableTool(t) || (t.type === 'function' && t.function.strict === true)) ?? false);\n}\nexport function assertToolCallsAreChatCompletionFunctionToolCalls(toolCalls) {\n for (const toolCall of toolCalls || []) {\n if (toolCall.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool calls are supported; Received \\`${toolCall.type}\\``);\n }\n }\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\n//# sourceMappingURL=parser.mjs.map","export const isAssistantMessage = (message) => {\n return message?.role === 'assistant';\n};\nexport const isToolMessage = (message) => {\n return message?.role === 'tool';\n};\nexport function isPresent(obj) {\n return obj != null;\n}\n//# sourceMappingURL=chatCompletionUtils.mjs.map","var _EventStream_instances, _EventStream_connectedPromise, _EventStream_resolveConnectedPromise, _EventStream_rejectConnectedPromise, _EventStream_endPromise, _EventStream_resolveEndPromise, _EventStream_rejectEndPromise, _EventStream_listeners, _EventStream_ended, _EventStream_errored, _EventStream_aborted, _EventStream_catchingPromiseCreated, _EventStream_handleError;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nexport class EventStream {\n constructor() {\n _EventStream_instances.add(this);\n this.controller = new AbortController();\n _EventStream_connectedPromise.set(this, void 0);\n _EventStream_resolveConnectedPromise.set(this, () => { });\n _EventStream_rejectConnectedPromise.set(this, () => { });\n _EventStream_endPromise.set(this, void 0);\n _EventStream_resolveEndPromise.set(this, () => { });\n _EventStream_rejectEndPromise.set(this, () => { });\n _EventStream_listeners.set(this, {});\n _EventStream_ended.set(this, false);\n _EventStream_errored.set(this, false);\n _EventStream_aborted.set(this, false);\n _EventStream_catchingPromiseCreated.set(this, false);\n __classPrivateFieldSet(this, _EventStream_connectedPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveConnectedPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectConnectedPromise, reject, \"f\");\n }), \"f\");\n __classPrivateFieldSet(this, _EventStream_endPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveEndPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectEndPromise, reject, \"f\");\n }), \"f\");\n // Don't let these promises cause unhandled rejection errors.\n // we will manually cause an unhandled rejection error later\n // if the user hasn't registered any error listener or called\n // any promise-returning method.\n __classPrivateFieldGet(this, _EventStream_connectedPromise, \"f\").catch(() => { });\n __classPrivateFieldGet(this, _EventStream_endPromise, \"f\").catch(() => { });\n }\n _run(executor) {\n // Unfortunately if we call `executor()` immediately we get runtime errors about\n // references to `this` before the `super()` constructor call returns.\n setTimeout(() => {\n executor().then(() => {\n this._emitFinal();\n this._emit('end');\n }, __classPrivateFieldGet(this, _EventStream_instances, \"m\", _EventStream_handleError).bind(this));\n }, 0);\n }\n _connected() {\n if (this.ended)\n return;\n __classPrivateFieldGet(this, _EventStream_resolveConnectedPromise, \"f\").call(this);\n this._emit('connect');\n }\n get ended() {\n return __classPrivateFieldGet(this, _EventStream_ended, \"f\");\n }\n get errored() {\n return __classPrivateFieldGet(this, _EventStream_errored, \"f\");\n }\n get aborted() {\n return __classPrivateFieldGet(this, _EventStream_aborted, \"f\");\n }\n abort() {\n this.controller.abort();\n }\n /**\n * Adds the listener function to the end of the listeners array for the event.\n * No checks are made to see if the listener has already been added. Multiple calls passing\n * the same combination of event and listener will result in the listener being added, and\n * called, multiple times.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n on(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener });\n return this;\n }\n /**\n * Removes the specified listener from the listener array for the event.\n * off() will remove, at most, one instance of a listener from the listener array. If any single\n * listener has been added multiple times to the listener array for the specified event, then\n * off() must be called multiple times to remove each instance.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n off(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (!listeners)\n return this;\n const index = listeners.findIndex((l) => l.listener === listener);\n if (index >= 0)\n listeners.splice(index, 1);\n return this;\n }\n /**\n * Adds a one-time listener function for the event. The next time the event is triggered,\n * this listener is removed and then invoked.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n once(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener, once: true });\n return this;\n }\n /**\n * This is similar to `.once()`, but returns a Promise that resolves the next time\n * the event is triggered, instead of calling a listener callback.\n * @returns a Promise that resolves the next time given event is triggered,\n * or rejects if an error is emitted. (If you request the 'error' event,\n * returns a promise that resolves with the error).\n *\n * Example:\n *\n * const message = await stream.emitted('message') // rejects if the stream errors\n */\n emitted(event) {\n return new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n if (event !== 'error')\n this.once('error', reject);\n this.once(event, resolve);\n });\n }\n async done() {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n await __classPrivateFieldGet(this, _EventStream_endPromise, \"f\");\n }\n _emit(event, ...args) {\n // make sure we don't emit any events after end\n if (__classPrivateFieldGet(this, _EventStream_ended, \"f\")) {\n return;\n }\n if (event === 'end') {\n __classPrivateFieldSet(this, _EventStream_ended, true, \"f\");\n __classPrivateFieldGet(this, _EventStream_resolveEndPromise, \"f\").call(this);\n }\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (listeners) {\n __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = listeners.filter((l) => !l.once);\n listeners.forEach(({ listener }) => listener(...args));\n }\n if (event === 'abort') {\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n return;\n }\n if (event === 'error') {\n // NOTE: _emit('error', error) should only be called from #handleError().\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n // Trigger an unhandled rejection if the user hasn't registered any error handlers.\n // If you are seeing stack traces here, make sure to handle errors via either:\n // - runner.on('error', () => ...)\n // - await runner.done()\n // - await runner.finalChatCompletion()\n // - etc.\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n }\n }\n _emitFinal() { }\n}\n_EventStream_connectedPromise = new WeakMap(), _EventStream_resolveConnectedPromise = new WeakMap(), _EventStream_rejectConnectedPromise = new WeakMap(), _EventStream_endPromise = new WeakMap(), _EventStream_resolveEndPromise = new WeakMap(), _EventStream_rejectEndPromise = new WeakMap(), _EventStream_listeners = new WeakMap(), _EventStream_ended = new WeakMap(), _EventStream_errored = new WeakMap(), _EventStream_aborted = new WeakMap(), _EventStream_catchingPromiseCreated = new WeakMap(), _EventStream_instances = new WeakSet(), _EventStream_handleError = function _EventStream_handleError(error) {\n __classPrivateFieldSet(this, _EventStream_errored, true, \"f\");\n if (error instanceof Error && error.name === 'AbortError') {\n error = new APIUserAbortError();\n }\n if (error instanceof APIUserAbortError) {\n __classPrivateFieldSet(this, _EventStream_aborted, true, \"f\");\n return this._emit('abort', error);\n }\n if (error instanceof OpenAIError) {\n return this._emit('error', error);\n }\n if (error instanceof Error) {\n const openAIError = new OpenAIError(error.message);\n // @ts-ignore\n openAIError.cause = error;\n return this._emit('error', openAIError);\n }\n return this._emit('error', new OpenAIError(String(error)));\n};\n//# sourceMappingURL=EventStream.mjs.map","var _AbstractChatCompletionRunner_instances, _AbstractChatCompletionRunner_getFinalContent, _AbstractChatCompletionRunner_getFinalMessage, _AbstractChatCompletionRunner_getFinalFunctionToolCall, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult, _AbstractChatCompletionRunner_calculateTotalUsage, _AbstractChatCompletionRunner_validateParams, _AbstractChatCompletionRunner_stringifyFunctionCallResult;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableTool, parseChatCompletion } from \"../lib/parser.mjs\";\nimport { isAssistantMessage, isToolMessage } from \"./chatCompletionUtils.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isRunnableFunctionWithParse, } from \"./RunnableFunction.mjs\";\nconst DEFAULT_MAX_CHAT_COMPLETIONS = 10;\nexport class AbstractChatCompletionRunner extends EventStream {\n constructor() {\n super(...arguments);\n _AbstractChatCompletionRunner_instances.add(this);\n this._chatCompletions = [];\n this.messages = [];\n }\n _addChatCompletion(chatCompletion) {\n this._chatCompletions.push(chatCompletion);\n this._emit('chatCompletion', chatCompletion);\n const message = chatCompletion.choices[0]?.message;\n if (message)\n this._addMessage(message);\n return chatCompletion;\n }\n _addMessage(message, emit = true) {\n if (!('content' in message))\n message.content = null;\n this.messages.push(message);\n if (emit) {\n this._emit('message', message);\n if (isToolMessage(message) && message.content) {\n // Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function.\n this._emit('functionToolCallResult', message.content);\n }\n else if (isAssistantMessage(message) && message.tool_calls) {\n for (const tool_call of message.tool_calls) {\n if (tool_call.type === 'function') {\n this._emit('functionToolCall', tool_call.function);\n }\n }\n }\n }\n }\n /**\n * @returns a promise that resolves with the final ChatCompletion, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletion.\n */\n async finalChatCompletion() {\n await this.done();\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (!completion)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return completion;\n }\n /**\n * @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalContent() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n }\n /**\n * @returns a promise that resolves with the the final assistant ChatCompletionMessage response,\n * or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalMessage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n }\n /**\n * @returns a promise that resolves with the content of the final FunctionCall, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalFunctionToolCall() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n }\n async finalFunctionToolCallResult() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n }\n async totalUsage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this);\n }\n allChatCompletions() {\n return [...this._chatCompletions];\n }\n _emitFinal() {\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (completion)\n this._emit('finalChatCompletion', completion);\n const finalMessage = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n if (finalMessage)\n this._emit('finalMessage', finalMessage);\n const finalContent = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n if (finalContent)\n this._emit('finalContent', finalContent);\n const finalFunctionCall = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n if (finalFunctionCall)\n this._emit('finalFunctionToolCall', finalFunctionCall);\n const finalFunctionCallResult = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n if (finalFunctionCallResult != null)\n this._emit('finalFunctionToolCallResult', finalFunctionCallResult);\n if (this._chatCompletions.some((c) => c.usage)) {\n this._emit('totalUsage', __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this));\n }\n }\n async _createChatCompletion(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_validateParams).call(this, params);\n const chatCompletion = await client.chat.completions.create({ ...params, stream: false }, { ...options, signal: this.controller.signal });\n this._connected();\n return this._addChatCompletion(parseChatCompletion(chatCompletion, params));\n }\n async _runChatCompletion(client, params, options) {\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n return await this._createChatCompletion(client, params, options);\n }\n async _runTools(client, params, options) {\n const role = 'tool';\n const { tool_choice = 'auto', stream, ...restParams } = params;\n const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice.type === 'function' && tool_choice?.function?.name;\n const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {};\n // TODO(someday): clean this logic up\n const inputTools = params.tools.map((tool) => {\n if (isAutoParsableTool(tool)) {\n if (!tool.$callback) {\n throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function');\n }\n return {\n type: 'function',\n function: {\n function: tool.$callback,\n name: tool.function.name,\n description: tool.function.description || '',\n parameters: tool.function.parameters,\n parse: tool.$parseRaw,\n strict: true,\n },\n };\n }\n return tool;\n });\n const functionsByName = {};\n for (const f of inputTools) {\n if (f.type === 'function') {\n functionsByName[f.function.name || f.function.function.name] = f.function;\n }\n }\n const tools = 'tools' in params ?\n inputTools.map((t) => t.type === 'function' ?\n {\n type: 'function',\n function: {\n name: t.function.name || t.function.function.name,\n parameters: t.function.parameters,\n description: t.function.description,\n strict: t.function.strict,\n },\n }\n : t)\n : undefined;\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n for (let i = 0; i < maxChatCompletions; ++i) {\n const chatCompletion = await this._createChatCompletion(client, {\n ...restParams,\n tool_choice,\n tools,\n messages: [...this.messages],\n }, options);\n const message = chatCompletion.choices[0]?.message;\n if (!message) {\n throw new OpenAIError(`missing message in ChatCompletion response`);\n }\n if (!message.tool_calls?.length) {\n return;\n }\n for (const tool_call of message.tool_calls) {\n if (tool_call.type !== 'function')\n continue;\n const tool_call_id = tool_call.id;\n const { name, arguments: args } = tool_call.function;\n const fn = functionsByName[name];\n if (!fn) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys(functionsByName)\n .map((name) => JSON.stringify(name))\n .join(', ')}. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n else if (singleFunctionToCall && singleFunctionToCall !== name) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify(singleFunctionToCall)} requested. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n let parsed;\n try {\n parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args;\n }\n catch (error) {\n const content = error instanceof Error ? error.message : String(error);\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n // @ts-expect-error it can't rule out `never` type.\n const rawContent = await fn.function(parsed, this);\n const content = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_stringifyFunctionCallResult).call(this, rawContent);\n this._addMessage({ role, tool_call_id, content });\n if (singleFunctionToCall) {\n return;\n }\n }\n }\n return;\n }\n}\n_AbstractChatCompletionRunner_instances = new WeakSet(), _AbstractChatCompletionRunner_getFinalContent = function _AbstractChatCompletionRunner_getFinalContent() {\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this).content ?? null;\n}, _AbstractChatCompletionRunner_getFinalMessage = function _AbstractChatCompletionRunner_getFinalMessage() {\n let i = this.messages.length;\n while (i-- > 0) {\n const message = this.messages[i];\n if (isAssistantMessage(message)) {\n // TODO: support audio here\n const ret = {\n ...message,\n content: message.content ?? null,\n refusal: message.refusal ?? null,\n };\n return ret;\n }\n }\n throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant');\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCall = function _AbstractChatCompletionRunner_getFinalFunctionToolCall() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isAssistantMessage(message) && message?.tool_calls?.length) {\n return message.tool_calls.filter((x) => x.type === 'function').at(-1)?.function;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult = function _AbstractChatCompletionRunner_getFinalFunctionToolCallResult() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isToolMessage(message) &&\n message.content != null &&\n typeof message.content === 'string' &&\n this.messages.some((x) => x.role === 'assistant' &&\n x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id))) {\n return message.content;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_calculateTotalUsage = function _AbstractChatCompletionRunner_calculateTotalUsage() {\n const total = {\n completion_tokens: 0,\n prompt_tokens: 0,\n total_tokens: 0,\n };\n for (const { usage } of this._chatCompletions) {\n if (usage) {\n total.completion_tokens += usage.completion_tokens;\n total.prompt_tokens += usage.prompt_tokens;\n total.total_tokens += usage.total_tokens;\n }\n }\n return total;\n}, _AbstractChatCompletionRunner_validateParams = function _AbstractChatCompletionRunner_validateParams(params) {\n if (params.n != null && params.n > 1) {\n throw new OpenAIError('ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.');\n }\n}, _AbstractChatCompletionRunner_stringifyFunctionCallResult = function _AbstractChatCompletionRunner_stringifyFunctionCallResult(rawContent) {\n return (typeof rawContent === 'string' ? rawContent\n : rawContent === undefined ? 'undefined'\n : JSON.stringify(rawContent));\n};\n//# sourceMappingURL=AbstractChatCompletionRunner.mjs.map","export function isRunnableFunctionWithParse(fn) {\n return typeof fn.parse === 'function';\n}\n/**\n * This is helper class for passing a `function` and `parse` where the `function`\n * argument type matches the `parse` return type.\n */\nexport class ParsingToolFunction {\n constructor(input) {\n this.type = 'function';\n this.function = input;\n }\n}\n//# sourceMappingURL=RunnableFunction.mjs.map","import { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nimport { isAssistantMessage } from \"./chatCompletionUtils.mjs\";\nexport class ChatCompletionRunner extends AbstractChatCompletionRunner {\n static runTools(client, params, options) {\n const runner = new ChatCompletionRunner();\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n _addMessage(message, emit = true) {\n super._addMessage(message, emit);\n if (isAssistantMessage(message) && message.content) {\n this._emit('content', message.content);\n }\n }\n}\n//# sourceMappingURL=ChatCompletionRunner.mjs.map","const STR = 0b000000001;\nconst NUM = 0b000000010;\nconst ARR = 0b000000100;\nconst OBJ = 0b000001000;\nconst NULL = 0b000010000;\nconst BOOL = 0b000100000;\nconst NAN = 0b001000000;\nconst INFINITY = 0b010000000;\nconst MINUS_INFINITY = 0b100000000;\nconst INF = INFINITY | MINUS_INFINITY;\nconst SPECIAL = NULL | BOOL | INF | NAN;\nconst ATOM = STR | NUM | SPECIAL;\nconst COLLECTION = ARR | OBJ;\nconst ALL = ATOM | COLLECTION;\nconst Allow = {\n STR,\n NUM,\n ARR,\n OBJ,\n NULL,\n BOOL,\n NAN,\n INFINITY,\n MINUS_INFINITY,\n INF,\n SPECIAL,\n ATOM,\n COLLECTION,\n ALL,\n};\n// The JSON string segment was unable to be parsed completely\nclass PartialJSON extends Error {\n}\nclass MalformedJSON extends Error {\n}\n/**\n * Parse incomplete JSON\n * @param {string} jsonString Partial JSON to be parsed\n * @param {number} allowPartial Specify what types are allowed to be partial, see {@link Allow} for details\n * @returns The parsed JSON\n * @throws {PartialJSON} If the JSON is incomplete (related to the `allow` parameter)\n * @throws {MalformedJSON} If the JSON is malformed\n */\nfunction parseJSON(jsonString, allowPartial = Allow.ALL) {\n if (typeof jsonString !== 'string') {\n throw new TypeError(`expecting str, got ${typeof jsonString}`);\n }\n if (!jsonString.trim()) {\n throw new Error(`${jsonString} is empty`);\n }\n return _parseJSON(jsonString.trim(), allowPartial);\n}\nconst _parseJSON = (jsonString, allow) => {\n const length = jsonString.length;\n let index = 0;\n const markPartialJSON = (msg) => {\n throw new PartialJSON(`${msg} at position ${index}`);\n };\n const throwMalformedError = (msg) => {\n throw new MalformedJSON(`${msg} at position ${index}`);\n };\n const parseAny = () => {\n skipBlank();\n if (index >= length)\n markPartialJSON('Unexpected end of input');\n if (jsonString[index] === '\"')\n return parseStr();\n if (jsonString[index] === '{')\n return parseObj();\n if (jsonString[index] === '[')\n return parseArr();\n if (jsonString.substring(index, index + 4) === 'null' ||\n (Allow.NULL & allow && length - index < 4 && 'null'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return null;\n }\n if (jsonString.substring(index, index + 4) === 'true' ||\n (Allow.BOOL & allow && length - index < 4 && 'true'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return true;\n }\n if (jsonString.substring(index, index + 5) === 'false' ||\n (Allow.BOOL & allow && length - index < 5 && 'false'.startsWith(jsonString.substring(index)))) {\n index += 5;\n return false;\n }\n if (jsonString.substring(index, index + 8) === 'Infinity' ||\n (Allow.INFINITY & allow && length - index < 8 && 'Infinity'.startsWith(jsonString.substring(index)))) {\n index += 8;\n return Infinity;\n }\n if (jsonString.substring(index, index + 9) === '-Infinity' ||\n (Allow.MINUS_INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n '-Infinity'.startsWith(jsonString.substring(index)))) {\n index += 9;\n return -Infinity;\n }\n if (jsonString.substring(index, index + 3) === 'NaN' ||\n (Allow.NAN & allow && length - index < 3 && 'NaN'.startsWith(jsonString.substring(index)))) {\n index += 3;\n return NaN;\n }\n return parseNum();\n };\n const parseStr = () => {\n const start = index;\n let escape = false;\n index++; // skip initial quote\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === '\\\\'))) {\n escape = jsonString[index] === '\\\\' ? !escape : false;\n index++;\n }\n if (jsonString.charAt(index) == '\"') {\n try {\n return JSON.parse(jsonString.substring(start, ++index - Number(escape)));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n else if (Allow.STR & allow) {\n try {\n return JSON.parse(jsonString.substring(start, index - Number(escape)) + '\"');\n }\n catch (e) {\n // SyntaxError: Invalid escape sequence\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('\\\\')) + '\"');\n }\n }\n markPartialJSON('Unterminated string literal');\n };\n const parseObj = () => {\n index++; // skip initial brace\n skipBlank();\n const obj = {};\n try {\n while (jsonString[index] !== '}') {\n skipBlank();\n if (index >= length && Allow.OBJ & allow)\n return obj;\n const key = parseStr();\n skipBlank();\n index++; // skip colon\n try {\n const value = parseAny();\n Object.defineProperty(obj, key, { value, writable: true, enumerable: true, configurable: true });\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n throw e;\n }\n skipBlank();\n if (jsonString[index] === ',')\n index++; // skip comma\n }\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n markPartialJSON(\"Expected '}' at end of object\");\n }\n index++; // skip final brace\n return obj;\n };\n const parseArr = () => {\n index++; // skip initial bracket\n const arr = [];\n try {\n while (jsonString[index] !== ']') {\n arr.push(parseAny());\n skipBlank();\n if (jsonString[index] === ',') {\n index++; // skip comma\n }\n }\n }\n catch (e) {\n if (Allow.ARR & allow) {\n return arr;\n }\n markPartialJSON(\"Expected ']' at end of array\");\n }\n index++; // skip final bracket\n return arr;\n };\n const parseNum = () => {\n if (index === 0) {\n if (jsonString === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString);\n }\n catch (e) {\n if (Allow.NUM & allow) {\n try {\n if ('.' === jsonString[jsonString.length - 1])\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('.')));\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('e')));\n }\n catch (e) { }\n }\n throwMalformedError(String(e));\n }\n }\n const start = index;\n if (jsonString[index] === '-')\n index++;\n while (jsonString[index] && !',]}'.includes(jsonString[index]))\n index++;\n if (index == length && !(Allow.NUM & allow))\n markPartialJSON('Unterminated number literal');\n try {\n return JSON.parse(jsonString.substring(start, index));\n }\n catch (e) {\n if (jsonString.substring(start, index) === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('e')));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n };\n const skipBlank = () => {\n while (index < length && ' \\n\\r\\t'.includes(jsonString[index])) {\n index++;\n }\n };\n return parseAny();\n};\n// using this function with malformed JSON is undefined behavior\nconst partialParse = (input) => parseJSON(input, Allow.ALL ^ Allow.NUM);\nexport { partialParse, PartialJSON, MalformedJSON };\n//# sourceMappingURL=parser.mjs.map","var _ChatCompletionStream_instances, _ChatCompletionStream_params, _ChatCompletionStream_choiceEventStates, _ChatCompletionStream_currentChatCompletionSnapshot, _ChatCompletionStream_beginRequest, _ChatCompletionStream_getChoiceEventState, _ChatCompletionStream_addChunk, _ChatCompletionStream_emitToolCallDoneEvent, _ChatCompletionStream_emitContentDoneEvents, _ChatCompletionStream_endRequest, _ChatCompletionStream_getAutoParseableResponseFormat, _ChatCompletionStream_accumulateChatCompletion;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { partialParse } from \"../_vendor/partial-json-parser/parser.mjs\";\nimport { APIUserAbortError, ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError, } from \"../error.mjs\";\nimport { hasAutoParseableInput, isAutoParsableResponseFormat, isAutoParsableTool, isChatCompletionFunctionTool, maybeParseChatCompletion, shouldParseToolCall, } from \"../lib/parser.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nexport class ChatCompletionStream extends AbstractChatCompletionRunner {\n constructor(params) {\n super();\n _ChatCompletionStream_instances.add(this);\n _ChatCompletionStream_params.set(this, void 0);\n _ChatCompletionStream_choiceEventStates.set(this, void 0);\n _ChatCompletionStream_currentChatCompletionSnapshot.set(this, void 0);\n __classPrivateFieldSet(this, _ChatCompletionStream_params, params, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n }\n get currentChatCompletionSnapshot() {\n return __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n }\n /**\n * Intended for use on the frontend, consuming a stream produced with\n * `.toReadableStream()` on the backend.\n *\n * Note that messages sent to the model do not appear in `.on('message')`\n * in this context.\n */\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStream(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static createChatCompletion(client, params, options) {\n const runner = new ChatCompletionStream(params);\n runner._run(() => runner._runChatCompletion(client, { ...params, stream: true }, { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }));\n return runner;\n }\n async _createChatCompletion(client, params, options) {\n super._createChatCompletion;\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n const stream = await client.chat.completions.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const chunk of stream) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n let chatId;\n for await (const chunk of stream) {\n if (chatId && chatId !== chunk.id) {\n // A new request has been made.\n this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n chatId = chunk.id;\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n [(_ChatCompletionStream_params = new WeakMap(), _ChatCompletionStream_choiceEventStates = new WeakMap(), _ChatCompletionStream_currentChatCompletionSnapshot = new WeakMap(), _ChatCompletionStream_instances = new WeakSet(), _ChatCompletionStream_beginRequest = function _ChatCompletionStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n }, _ChatCompletionStream_getChoiceEventState = function _ChatCompletionStream_getChoiceEventState(choice) {\n let state = __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index];\n if (state) {\n return state;\n }\n state = {\n content_done: false,\n refusal_done: false,\n logprobs_content_done: false,\n logprobs_refusal_done: false,\n done_tool_calls: new Set(),\n current_tool_call_index: null,\n };\n __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index] = state;\n return state;\n }, _ChatCompletionStream_addChunk = function _ChatCompletionStream_addChunk(chunk) {\n if (this.ended)\n return;\n const completion = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_accumulateChatCompletion).call(this, chunk);\n this._emit('chunk', chunk, completion);\n for (const choice of chunk.choices) {\n const choiceSnapshot = completion.choices[choice.index];\n if (choice.delta.content != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.content) {\n this._emit('content', choice.delta.content, choiceSnapshot.message.content);\n this._emit('content.delta', {\n delta: choice.delta.content,\n snapshot: choiceSnapshot.message.content,\n parsed: choiceSnapshot.message.parsed,\n });\n }\n if (choice.delta.refusal != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.refusal) {\n this._emit('refusal.delta', {\n delta: choice.delta.refusal,\n snapshot: choiceSnapshot.message.refusal,\n });\n }\n if (choice.logprobs?.content != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.content.delta', {\n content: choice.logprobs?.content,\n snapshot: choiceSnapshot.logprobs?.content ?? [],\n });\n }\n if (choice.logprobs?.refusal != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.refusal.delta', {\n refusal: choice.logprobs?.refusal,\n snapshot: choiceSnapshot.logprobs?.refusal ?? [],\n });\n }\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.finish_reason) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n for (const toolCall of choice.delta.tool_calls ?? []) {\n if (state.current_tool_call_index !== toolCall.index) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n // new tool call started, the previous one is done\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n state.current_tool_call_index = toolCall.index;\n }\n for (const toolCallDelta of choice.delta.tool_calls ?? []) {\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallDelta.index];\n if (!toolCallSnapshot?.type) {\n continue;\n }\n if (toolCallSnapshot?.type === 'function') {\n this._emit('tool_calls.function.arguments.delta', {\n name: toolCallSnapshot.function?.name,\n index: toolCallDelta.index,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: toolCallSnapshot.function.parsed_arguments,\n arguments_delta: toolCallDelta.function?.arguments ?? '',\n });\n }\n else {\n assertNever(toolCallSnapshot?.type);\n }\n }\n }\n }, _ChatCompletionStream_emitToolCallDoneEvent = function _ChatCompletionStream_emitToolCallDoneEvent(choiceSnapshot, toolCallIndex) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (state.done_tool_calls.has(toolCallIndex)) {\n // we've already fired the done event\n return;\n }\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallIndex];\n if (!toolCallSnapshot) {\n throw new Error('no tool call snapshot');\n }\n if (!toolCallSnapshot.type) {\n throw new Error('tool call snapshot missing `type`');\n }\n if (toolCallSnapshot.type === 'function') {\n const inputTool = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.tools?.find((tool) => isChatCompletionFunctionTool(tool) && tool.function.name === toolCallSnapshot.function.name); // TS doesn't narrow based on isChatCompletionTool\n this._emit('tool_calls.function.arguments.done', {\n name: toolCallSnapshot.function.name,\n index: toolCallIndex,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCallSnapshot.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments)\n : null,\n });\n }\n else {\n assertNever(toolCallSnapshot.type);\n }\n }, _ChatCompletionStream_emitContentDoneEvents = function _ChatCompletionStream_emitContentDoneEvents(choiceSnapshot) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.message.content && !state.content_done) {\n state.content_done = true;\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this);\n this._emit('content.done', {\n content: choiceSnapshot.message.content,\n parsed: responseFormat ? responseFormat.$parseRaw(choiceSnapshot.message.content) : null,\n });\n }\n if (choiceSnapshot.message.refusal && !state.refusal_done) {\n state.refusal_done = true;\n this._emit('refusal.done', { refusal: choiceSnapshot.message.refusal });\n }\n if (choiceSnapshot.logprobs?.content && !state.logprobs_content_done) {\n state.logprobs_content_done = true;\n this._emit('logprobs.content.done', { content: choiceSnapshot.logprobs.content });\n }\n if (choiceSnapshot.logprobs?.refusal && !state.logprobs_refusal_done) {\n state.logprobs_refusal_done = true;\n this._emit('logprobs.refusal.done', { refusal: choiceSnapshot.logprobs.refusal });\n }\n }, _ChatCompletionStream_endRequest = function _ChatCompletionStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any chunks`);\n }\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n return finalizeChatCompletion(snapshot, __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"));\n }, _ChatCompletionStream_getAutoParseableResponseFormat = function _ChatCompletionStream_getAutoParseableResponseFormat() {\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.response_format;\n if (isAutoParsableResponseFormat(responseFormat)) {\n return responseFormat;\n }\n return null;\n }, _ChatCompletionStream_accumulateChatCompletion = function _ChatCompletionStream_accumulateChatCompletion(chunk) {\n var _a, _b, _c, _d;\n let snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n const { choices, ...rest } = chunk;\n if (!snapshot) {\n snapshot = __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, {\n ...rest,\n choices: [],\n }, \"f\");\n }\n else {\n Object.assign(snapshot, rest);\n }\n for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) {\n let choice = snapshot.choices[index];\n if (!choice) {\n choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other };\n }\n if (logprobs) {\n if (!choice.logprobs) {\n choice.logprobs = Object.assign({}, logprobs);\n }\n else {\n const { content, refusal, ...rest } = logprobs;\n assertIsEmpty(rest);\n Object.assign(choice.logprobs, rest);\n if (content) {\n (_a = choice.logprobs).content ?? (_a.content = []);\n choice.logprobs.content.push(...content);\n }\n if (refusal) {\n (_b = choice.logprobs).refusal ?? (_b.refusal = []);\n choice.logprobs.refusal.push(...refusal);\n }\n }\n }\n if (finish_reason) {\n choice.finish_reason = finish_reason;\n if (__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\") && hasAutoParseableInput(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"))) {\n if (finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n }\n }\n Object.assign(choice, other);\n if (!delta)\n continue; // Shouldn't happen; just in case.\n const { content, refusal, function_call, role, tool_calls, ...rest } = delta;\n assertIsEmpty(rest);\n Object.assign(choice.message, rest);\n if (refusal) {\n choice.message.refusal = (choice.message.refusal || '') + refusal;\n }\n if (role)\n choice.message.role = role;\n if (function_call) {\n if (!choice.message.function_call) {\n choice.message.function_call = function_call;\n }\n else {\n if (function_call.name)\n choice.message.function_call.name = function_call.name;\n if (function_call.arguments) {\n (_c = choice.message.function_call).arguments ?? (_c.arguments = '');\n choice.message.function_call.arguments += function_call.arguments;\n }\n }\n }\n if (content) {\n choice.message.content = (choice.message.content || '') + content;\n if (!choice.message.refusal && __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this)) {\n choice.message.parsed = partialParse(choice.message.content);\n }\n }\n if (tool_calls) {\n if (!choice.message.tool_calls)\n choice.message.tool_calls = [];\n for (const { index, id, type, function: fn, ...rest } of tool_calls) {\n const tool_call = ((_d = choice.message.tool_calls)[index] ?? (_d[index] = {}));\n Object.assign(tool_call, rest);\n if (id)\n tool_call.id = id;\n if (type)\n tool_call.type = type;\n if (fn)\n tool_call.function ?? (tool_call.function = { name: fn.name ?? '', arguments: '' });\n if (fn?.name)\n tool_call.function.name = fn.name;\n if (fn?.arguments) {\n tool_call.function.arguments += fn.arguments;\n if (shouldParseToolCall(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"), tool_call)) {\n tool_call.function.parsed_arguments = partialParse(tool_call.function.arguments);\n }\n }\n }\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('chunk', (chunk) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(chunk);\n }\n else {\n pushQueue.push(chunk);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n}\nfunction finalizeChatCompletion(snapshot, params) {\n const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;\n const completion = {\n ...rest,\n id,\n choices: choices.map(({ message, finish_reason, index, logprobs, ...choiceRest }) => {\n if (!finish_reason) {\n throw new OpenAIError(`missing finish_reason for choice ${index}`);\n }\n const { content = null, function_call, tool_calls, ...messageRest } = message;\n const role = message.role; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine.\n if (!role) {\n throw new OpenAIError(`missing role for choice ${index}`);\n }\n if (function_call) {\n const { arguments: args, name } = function_call;\n if (args == null) {\n throw new OpenAIError(`missing function_call.arguments for choice ${index}`);\n }\n if (!name) {\n throw new OpenAIError(`missing function_call.name for choice ${index}`);\n }\n return {\n ...choiceRest,\n message: {\n content,\n function_call: { arguments: args, name },\n role,\n refusal: message.refusal ?? null,\n },\n finish_reason,\n index,\n logprobs,\n };\n }\n if (tool_calls) {\n return {\n ...choiceRest,\n index,\n finish_reason,\n logprobs,\n message: {\n ...messageRest,\n role,\n content,\n refusal: message.refusal ?? null,\n tool_calls: tool_calls.map((tool_call, i) => {\n const { function: fn, type, id, ...toolRest } = tool_call;\n const { arguments: args, name, ...fnRest } = fn || {};\n if (id == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\\n${str(snapshot)}`);\n }\n if (type == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\\n${str(snapshot)}`);\n }\n if (name == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.name\\n${str(snapshot)}`);\n }\n if (args == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.arguments\\n${str(snapshot)}`);\n }\n return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } };\n }),\n },\n };\n }\n return {\n ...choiceRest,\n message: { ...messageRest, content, role, refusal: message.refusal ?? null },\n finish_reason,\n index,\n logprobs,\n };\n }),\n created,\n model,\n object: 'chat.completion',\n ...(system_fingerprint ? { system_fingerprint } : {}),\n };\n return maybeParseChatCompletion(completion, params);\n}\nfunction str(x) {\n return JSON.stringify(x);\n}\n/**\n * Ensures the given argument is an empty object, useful for\n * asserting that all known properties on an object have been\n * destructured.\n */\nfunction assertIsEmpty(obj) {\n return;\n}\nfunction assertNever(_x) { }\n//# sourceMappingURL=ChatCompletionStream.mjs.map","import { ChatCompletionStream } from \"./ChatCompletionStream.mjs\";\nexport class ChatCompletionStreamingRunner extends ChatCompletionStream {\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStreamingRunner(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static runTools(client, params, options) {\n const runner = new ChatCompletionStreamingRunner(\n // @ts-expect-error TODO these types are incompatible\n params);\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n}\n//# sourceMappingURL=ChatCompletionStreamingRunner.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages } from \"./messages.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nimport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nimport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nimport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nimport { parseChatCompletion, validateInputTools } from \"../../../lib/parser.mjs\";\nexport class Completions extends APIResource {\n constructor() {\n super(...arguments);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n create(body, options) {\n return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false });\n }\n /**\n * Get a stored chat completion. Only Chat Completions that have been created with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * const chatCompletion =\n * await client.chat.completions.retrieve('completion_id');\n * ```\n */\n retrieve(completionID, options) {\n return this._client.get(path `/chat/completions/${completionID}`, options);\n }\n /**\n * Modify a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be modified. Currently, the only\n * supported modification is to update the `metadata` field.\n *\n * @example\n * ```ts\n * const chatCompletion = await client.chat.completions.update(\n * 'completion_id',\n * { metadata: { foo: 'string' } },\n * );\n * ```\n */\n update(completionID, body, options) {\n return this._client.post(path `/chat/completions/${completionID}`, { body, ...options });\n }\n /**\n * List stored Chat Completions. Only Chat Completions that have been stored with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletion of client.chat.completions.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/chat/completions', (CursorPage), { query, ...options });\n }\n /**\n * Delete a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be deleted.\n *\n * @example\n * ```ts\n * const chatCompletionDeleted =\n * await client.chat.completions.delete('completion_id');\n * ```\n */\n delete(completionID, options) {\n return this._client.delete(path `/chat/completions/${completionID}`, options);\n }\n parse(body, options) {\n validateInputTools(body.tools);\n return this._client.chat.completions\n .create(body, {\n ...options,\n headers: {\n ...options?.headers,\n 'X-Stainless-Helper-Method': 'chat.completions.parse',\n },\n })\n ._thenUnwrap((completion) => parseChatCompletion(completion, body));\n }\n runTools(body, options) {\n if (body.stream) {\n return ChatCompletionStreamingRunner.runTools(this._client, body, options);\n }\n return ChatCompletionRunner.runTools(this._client, body, options);\n }\n /**\n * Creates a chat completion stream\n */\n stream(body, options) {\n return ChatCompletionStream.createChatCompletion(this._client, body, options);\n }\n}\nexport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nexport { ParsingToolFunction, } from \"../../../lib/RunnableFunction.mjs\";\nexport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nexport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nCompletions.Messages = Messages;\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as CompletionsAPI from \"./completions/completions.mjs\";\nimport { Completions, } from \"./completions/completions.mjs\";\nexport class Chat extends APIResource {\n constructor() {\n super(...arguments);\n this.completions = new CompletionsAPI.Completions(this._client);\n }\n}\nChat.Completions = Completions;\n//# sourceMappingURL=chat.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { isReadonlyArray } from \"./utils/values.mjs\";\nconst brand_privateNullableHeaders = /* @__PURE__ */ Symbol('brand.privateNullableHeaders');\nfunction* iterateHeaders(headers) {\n if (!headers)\n return;\n if (brand_privateNullableHeaders in headers) {\n const { values, nulls } = headers;\n yield* values.entries();\n for (const name of nulls) {\n yield [name, null];\n }\n return;\n }\n let shouldClear = false;\n let iter;\n if (headers instanceof Headers) {\n iter = headers.entries();\n }\n else if (isReadonlyArray(headers)) {\n iter = headers;\n }\n else {\n shouldClear = true;\n iter = Object.entries(headers ?? {});\n }\n for (let row of iter) {\n const name = row[0];\n if (typeof name !== 'string')\n throw new TypeError('expected header name to be a string');\n const values = isReadonlyArray(row[1]) ? row[1] : [row[1]];\n let didClear = false;\n for (const value of values) {\n if (value === undefined)\n continue;\n // Objects keys always overwrite older headers, they never append.\n // Yield a null to clear the header before adding the new values.\n if (shouldClear && !didClear) {\n didClear = true;\n yield [name, null];\n }\n yield [name, value];\n }\n }\n}\nexport const buildHeaders = (newHeaders) => {\n const targetHeaders = new Headers();\n const nullHeaders = new Set();\n for (const headers of newHeaders) {\n const seenHeaders = new Set();\n for (const [name, value] of iterateHeaders(headers)) {\n const lowerName = name.toLowerCase();\n if (!seenHeaders.has(lowerName)) {\n targetHeaders.delete(name);\n seenHeaders.add(lowerName);\n }\n if (value === null) {\n targetHeaders.delete(name);\n nullHeaders.add(lowerName);\n }\n else {\n targetHeaders.append(name, value);\n nullHeaders.delete(lowerName);\n }\n }\n }\n return { [brand_privateNullableHeaders]: true, values: targetHeaders, nulls: nullHeaders };\n};\nexport const isEmptyHeaders = (headers) => {\n for (const _ of iterateHeaders(headers))\n return false;\n return true;\n};\n//# sourceMappingURL=headers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nexport class Speech extends APIResource {\n /**\n * Generates audio from the input text.\n *\n * @example\n * ```ts\n * const speech = await client.audio.speech.create({\n * input: 'input',\n * model: 'string',\n * voice: 'ash',\n * });\n *\n * const content = await speech.blob();\n * console.log(content);\n * ```\n */\n create(body, options) {\n return this._client.post('/audio/speech', {\n body,\n ...options,\n headers: buildHeaders([{ Accept: 'application/octet-stream' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=speech.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Transcriptions extends APIResource {\n create(body, options) {\n return this._client.post('/audio/transcriptions', multipartFormRequestOptions({\n body,\n ...options,\n stream: body.stream ?? false,\n __metadata: { model: body.model },\n }, this._client));\n }\n}\n//# sourceMappingURL=transcriptions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Translations extends APIResource {\n create(body, options) {\n return this._client.post('/audio/translations', multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }, this._client));\n }\n}\n//# sourceMappingURL=translations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as SpeechAPI from \"./speech.mjs\";\nimport { Speech } from \"./speech.mjs\";\nimport * as TranscriptionsAPI from \"./transcriptions.mjs\";\nimport { Transcriptions, } from \"./transcriptions.mjs\";\nimport * as TranslationsAPI from \"./translations.mjs\";\nimport { Translations, } from \"./translations.mjs\";\nexport class Audio extends APIResource {\n constructor() {\n super(...arguments);\n this.transcriptions = new TranscriptionsAPI.Transcriptions(this._client);\n this.translations = new TranslationsAPI.Translations(this._client);\n this.speech = new SpeechAPI.Speech(this._client);\n }\n}\nAudio.Transcriptions = Transcriptions;\nAudio.Translations = Translations;\nAudio.Speech = Speech;\n//# sourceMappingURL=audio.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Batches extends APIResource {\n /**\n * Creates and executes a batch from an uploaded file of requests\n */\n create(body, options) {\n return this._client.post('/batches', { body, ...options });\n }\n /**\n * Retrieves a batch.\n */\n retrieve(batchID, options) {\n return this._client.get(path `/batches/${batchID}`, options);\n }\n /**\n * List your organization's batches.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/batches', (CursorPage), { query, ...options });\n }\n /**\n * Cancels an in-progress batch. The batch will be in status `cancelling` for up to\n * 10 minutes, before changing to `cancelled`, where it will have partial results\n * (if any) available in the output file.\n */\n cancel(batchID, options) {\n return this._client.post(path `/batches/${batchID}/cancel`, options);\n }\n}\n//# sourceMappingURL=batches.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Assistants extends APIResource {\n /**\n * Create an assistant with a model and instructions.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.create({\n * model: 'gpt-4o',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/assistants', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.retrieve(\n * 'assistant_id',\n * );\n * ```\n */\n retrieve(assistantID, options) {\n return this._client.get(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.update(\n * 'assistant_id',\n * );\n * ```\n */\n update(assistantID, body, options) {\n return this._client.post(path `/assistants/${assistantID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of assistants.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const assistant of client.beta.assistants.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/assistants', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete an assistant.\n *\n * @example\n * ```ts\n * const assistantDeleted =\n * await client.beta.assistants.delete('assistant_id');\n * ```\n */\n delete(assistantID, options) {\n return this._client.delete(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=assistants.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class Sessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API. Can be configured with the same session parameters as the\n * `session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const session =\n * await client.beta.realtime.sessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class TranscriptionSessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API specifically for realtime transcriptions. Can be configured with\n * the same session parameters as the `transcription_session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const transcriptionSession =\n * await client.beta.realtime.transcriptionSessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/transcription_sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=transcription-sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as SessionsAPI from \"./sessions.mjs\";\nimport { Sessions, } from \"./sessions.mjs\";\nimport * as TranscriptionSessionsAPI from \"./transcription-sessions.mjs\";\nimport { TranscriptionSessions, } from \"./transcription-sessions.mjs\";\n/**\n * @deprecated Realtime has now launched and is generally available. The old beta API is now deprecated.\n */\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.sessions = new SessionsAPI.Sessions(this._client);\n this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);\n }\n}\nRealtime.Sessions = Sessions;\nRealtime.TranscriptionSessions = TranscriptionSessions;\n//# sourceMappingURL=realtime.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Messages extends APIResource {\n /**\n * Create a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}/messages`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieve a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(messageID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(messageID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/messages/${messageID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of messages for a given thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/messages`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Deletes a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(messageID, params, options) {\n const { thread_id } = params;\n return this._client.delete(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=messages.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Steps extends APIResource {\n /**\n * Retrieves a run step.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(stepID, params, options) {\n const { thread_id, run_id, ...query } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${run_id}/steps/${stepID}`, {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of run steps belonging to a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(runID, params, options) {\n const { thread_id, ...query } = params;\n return this._client.getAPIList(path `/threads/${thread_id}/runs/${runID}/steps`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=steps.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\nimport { encodeUTF8 } from \"./bytes.mjs\";\nexport const toBase64 = (data) => {\n if (!data)\n return '';\n if (typeof globalThis.Buffer !== 'undefined') {\n return globalThis.Buffer.from(data).toString('base64');\n }\n if (typeof data === 'string') {\n data = encodeUTF8(data);\n }\n if (typeof btoa !== 'undefined') {\n return btoa(String.fromCharCode.apply(null, data));\n }\n throw new OpenAIError('Cannot generate base64 string; Expected `Buffer` or `btoa` to be defined');\n};\nexport const fromBase64 = (str) => {\n if (typeof globalThis.Buffer !== 'undefined') {\n const buf = globalThis.Buffer.from(str, 'base64');\n return new Uint8Array(buf.buffer, buf.byteOffset, buf.byteLength);\n }\n if (typeof atob !== 'undefined') {\n const bstr = atob(str);\n const buf = new Uint8Array(bstr.length);\n for (let i = 0; i < bstr.length; i++) {\n buf[i] = bstr.charCodeAt(i);\n }\n return buf;\n }\n throw new OpenAIError('Cannot decode base64 string; Expected `Buffer` or `atob` to be defined');\n};\n/**\n * Converts a Base64 encoded string to a Float32Array.\n * @param base64Str - The Base64 encoded string.\n * @returns An Array of numbers interpreted as Float32 values.\n */\nexport const toFloat32Array = (base64Str) => {\n if (typeof Buffer !== 'undefined') {\n // for Node.js environment\n const buf = Buffer.from(base64Str, 'base64');\n return Array.from(new Float32Array(buf.buffer, buf.byteOffset, buf.length / Float32Array.BYTES_PER_ELEMENT));\n }\n else {\n // for legacy web platform APIs\n const binaryStr = atob(base64Str);\n const len = binaryStr.length;\n const bytes = new Uint8Array(len);\n for (let i = 0; i < len; i++) {\n bytes[i] = binaryStr.charCodeAt(i);\n }\n return Array.from(new Float32Array(bytes.buffer));\n }\n};\n//# sourceMappingURL=base64.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * Read an environment variable.\n *\n * Trims beginning and trailing whitespace.\n *\n * Will return undefined if the environment variable doesn't exist or cannot be accessed.\n */\nexport const readEnv = (env) => {\n if (typeof globalThis.process !== 'undefined') {\n return globalThis.process.env?.[env]?.trim() ?? undefined;\n }\n if (typeof globalThis.Deno !== 'undefined') {\n return globalThis.Deno.env?.get?.(env)?.trim();\n }\n return undefined;\n};\n//# sourceMappingURL=env.mjs.map","var _AssistantStream_instances, _a, _AssistantStream_events, _AssistantStream_runStepSnapshots, _AssistantStream_messageSnapshots, _AssistantStream_messageSnapshot, _AssistantStream_finalRun, _AssistantStream_currentContentIndex, _AssistantStream_currentContent, _AssistantStream_currentToolCallIndex, _AssistantStream_currentToolCall, _AssistantStream_currentEvent, _AssistantStream_currentRunSnapshot, _AssistantStream_currentRunStepSnapshot, _AssistantStream_addEvent, _AssistantStream_endRequest, _AssistantStream_handleMessage, _AssistantStream_handleRunStep, _AssistantStream_handleEvent, _AssistantStream_accumulateRunStep, _AssistantStream_accumulateMessage, _AssistantStream_accumulateContent, _AssistantStream_handleRun;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isObj } from \"../internal/utils.mjs\";\nexport class AssistantStream extends EventStream {\n constructor() {\n super(...arguments);\n _AssistantStream_instances.add(this);\n //Track all events in a single list for reference\n _AssistantStream_events.set(this, []);\n //Used to accumulate deltas\n //We are accumulating many types so the value here is not strict\n _AssistantStream_runStepSnapshots.set(this, {});\n _AssistantStream_messageSnapshots.set(this, {});\n _AssistantStream_messageSnapshot.set(this, void 0);\n _AssistantStream_finalRun.set(this, void 0);\n _AssistantStream_currentContentIndex.set(this, void 0);\n _AssistantStream_currentContent.set(this, void 0);\n _AssistantStream_currentToolCallIndex.set(this, void 0);\n _AssistantStream_currentToolCall.set(this, void 0);\n //For current snapshot methods\n _AssistantStream_currentEvent.set(this, void 0);\n _AssistantStream_currentRunSnapshot.set(this, void 0);\n _AssistantStream_currentRunStepSnapshot.set(this, void 0);\n }\n [(_AssistantStream_events = new WeakMap(), _AssistantStream_runStepSnapshots = new WeakMap(), _AssistantStream_messageSnapshots = new WeakMap(), _AssistantStream_messageSnapshot = new WeakMap(), _AssistantStream_finalRun = new WeakMap(), _AssistantStream_currentContentIndex = new WeakMap(), _AssistantStream_currentContent = new WeakMap(), _AssistantStream_currentToolCallIndex = new WeakMap(), _AssistantStream_currentToolCall = new WeakMap(), _AssistantStream_currentEvent = new WeakMap(), _AssistantStream_currentRunSnapshot = new WeakMap(), _AssistantStream_currentRunStepSnapshot = new WeakMap(), _AssistantStream_instances = new WeakSet(), Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n //Catch all for passing along all events\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n static fromReadableStream(stream) {\n const runner = new _a();\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n static createToolAssistantStream(runId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runToolAssistantStream(runId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createToolAssistantStream(run, runId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.submitToolOutputs(runId, body, {\n ...options,\n signal: this.controller.signal,\n });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static createThreadAssistantStream(params, thread, options) {\n const runner = new _a();\n runner._run(() => runner._threadAssistantStream(params, thread, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n static createAssistantStream(threadId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runAssistantStream(threadId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n currentEvent() {\n return __classPrivateFieldGet(this, _AssistantStream_currentEvent, \"f\");\n }\n currentRun() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunSnapshot, \"f\");\n }\n currentMessageSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\");\n }\n currentRunStepSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunStepSnapshot, \"f\");\n }\n async finalRunSteps() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\"));\n }\n async finalMessages() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\"));\n }\n async finalRun() {\n await this.done();\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run was not received.');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n }\n async _createThreadAssistantStream(thread, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await thread.createAndRun(body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n async _createAssistantStream(run, threadId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.create(threadId, body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static accumulateDelta(acc, delta) {\n for (const [key, deltaValue] of Object.entries(delta)) {\n if (!acc.hasOwnProperty(key)) {\n acc[key] = deltaValue;\n continue;\n }\n let accValue = acc[key];\n if (accValue === null || accValue === undefined) {\n acc[key] = deltaValue;\n continue;\n }\n // We don't accumulate these special properties\n if (key === 'index' || key === 'type') {\n acc[key] = deltaValue;\n continue;\n }\n // Type-specific accumulation logic\n if (typeof accValue === 'string' && typeof deltaValue === 'string') {\n accValue += deltaValue;\n }\n else if (typeof accValue === 'number' && typeof deltaValue === 'number') {\n accValue += deltaValue;\n }\n else if (isObj(accValue) && isObj(deltaValue)) {\n accValue = this.accumulateDelta(accValue, deltaValue);\n }\n else if (Array.isArray(accValue) && Array.isArray(deltaValue)) {\n if (accValue.every((x) => typeof x === 'string' || typeof x === 'number')) {\n accValue.push(...deltaValue); // Use spread syntax for efficient addition\n continue;\n }\n for (const deltaEntry of deltaValue) {\n if (!isObj(deltaEntry)) {\n throw new Error(`Expected array delta entry to be an object but got: ${deltaEntry}`);\n }\n const index = deltaEntry['index'];\n if (index == null) {\n console.error(deltaEntry);\n throw new Error('Expected array delta entry to have an `index` property');\n }\n if (typeof index !== 'number') {\n throw new Error(`Expected array delta entry \\`index\\` property to be a number but got ${index}`);\n }\n const accEntry = accValue[index];\n if (accEntry == null) {\n accValue.push(deltaEntry);\n }\n else {\n accValue[index] = this.accumulateDelta(accEntry, deltaEntry);\n }\n }\n continue;\n }\n else {\n throw Error(`Unhandled record type: ${key}, deltaValue: ${deltaValue}, accValue: ${accValue}`);\n }\n acc[key] = accValue;\n }\n return acc;\n }\n _addRun(run) {\n return run;\n }\n async _threadAssistantStream(params, thread, options) {\n return await this._createThreadAssistantStream(thread, params, options);\n }\n async _runAssistantStream(threadId, runs, params, options) {\n return await this._createAssistantStream(runs, threadId, params, options);\n }\n async _runToolAssistantStream(runId, runs, params, options) {\n return await this._createToolAssistantStream(runs, runId, params, options);\n }\n}\n_a = AssistantStream, _AssistantStream_addEvent = function _AssistantStream_addEvent(event) {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _AssistantStream_currentEvent, event, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleEvent).call(this, event);\n switch (event.event) {\n case 'thread.created':\n //No action on this event.\n break;\n case 'thread.run.created':\n case 'thread.run.queued':\n case 'thread.run.in_progress':\n case 'thread.run.requires_action':\n case 'thread.run.completed':\n case 'thread.run.incomplete':\n case 'thread.run.failed':\n case 'thread.run.cancelling':\n case 'thread.run.cancelled':\n case 'thread.run.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRun).call(this, event);\n break;\n case 'thread.run.step.created':\n case 'thread.run.step.in_progress':\n case 'thread.run.step.delta':\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRunStep).call(this, event);\n break;\n case 'thread.message.created':\n case 'thread.message.in_progress':\n case 'thread.message.delta':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleMessage).call(this, event);\n break;\n case 'error':\n //This is included for completeness, but errors are processed in the SSE event processing so this should not occur\n throw new Error('Encountered an error event in event processing - errors should be processed earlier');\n default:\n assertNever(event);\n }\n}, _AssistantStream_endRequest = function _AssistantStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run has not been received');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n}, _AssistantStream_handleMessage = function _AssistantStream_handleMessage(event) {\n const [accumulatedMessage, newContent] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateMessage).call(this, event, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, accumulatedMessage, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\")[accumulatedMessage.id] = accumulatedMessage;\n for (const content of newContent) {\n const snapshotContent = accumulatedMessage.content[content.index];\n if (snapshotContent?.type == 'text') {\n this._emit('textCreated', snapshotContent.text);\n }\n }\n switch (event.event) {\n case 'thread.message.created':\n this._emit('messageCreated', event.data);\n break;\n case 'thread.message.in_progress':\n break;\n case 'thread.message.delta':\n this._emit('messageDelta', event.data.delta, accumulatedMessage);\n if (event.data.delta.content) {\n for (const content of event.data.delta.content) {\n //If it is text delta, emit a text delta event\n if (content.type == 'text' && content.text) {\n let textDelta = content.text;\n let snapshot = accumulatedMessage.content[content.index];\n if (snapshot && snapshot.type == 'text') {\n this._emit('textDelta', textDelta, snapshot.text);\n }\n else {\n throw Error('The snapshot associated with this text delta is not text or missing');\n }\n }\n if (content.index != __classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")) {\n //See if we have in progress content\n if (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\")) {\n switch (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").type) {\n case 'text':\n this._emit('textDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'image_file':\n this._emit('imageFileDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContentIndex, content.index, \"f\");\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContent, accumulatedMessage.content[content.index], \"f\");\n }\n }\n break;\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //We emit the latest content we were working on on completion (including incomplete)\n if (__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\") !== undefined) {\n const currentContent = event.data.content[__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")];\n if (currentContent) {\n switch (currentContent.type) {\n case 'image_file':\n this._emit('imageFileDone', currentContent.image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'text':\n this._emit('textDone', currentContent.text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n }\n if (__classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\")) {\n this._emit('messageDone', event.data);\n }\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, undefined, \"f\");\n }\n}, _AssistantStream_handleRunStep = function _AssistantStream_handleRunStep(event) {\n const accumulatedRunStep = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateRunStep).call(this, event);\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, accumulatedRunStep, \"f\");\n switch (event.event) {\n case 'thread.run.step.created':\n this._emit('runStepCreated', event.data);\n break;\n case 'thread.run.step.delta':\n const delta = event.data.delta;\n if (delta.step_details &&\n delta.step_details.type == 'tool_calls' &&\n delta.step_details.tool_calls &&\n accumulatedRunStep.step_details.type == 'tool_calls') {\n for (const toolCall of delta.step_details.tool_calls) {\n if (toolCall.index == __classPrivateFieldGet(this, _AssistantStream_currentToolCallIndex, \"f\")) {\n this._emit('toolCallDelta', toolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index]);\n }\n else {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n __classPrivateFieldSet(this, _AssistantStream_currentToolCallIndex, toolCall.index, \"f\");\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index], \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"))\n this._emit('toolCallCreated', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n }\n }\n this._emit('runStepDelta', event.data.delta, accumulatedRunStep);\n break;\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, undefined, \"f\");\n const details = event.data.step_details;\n if (details.type == 'tool_calls') {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n }\n this._emit('runStepDone', event.data, accumulatedRunStep);\n break;\n case 'thread.run.step.in_progress':\n break;\n }\n}, _AssistantStream_handleEvent = function _AssistantStream_handleEvent(event) {\n __classPrivateFieldGet(this, _AssistantStream_events, \"f\").push(event);\n this._emit('event', event);\n}, _AssistantStream_accumulateRunStep = function _AssistantStream_accumulateRunStep(event) {\n switch (event.event) {\n case 'thread.run.step.created':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n return event.data;\n case 'thread.run.step.delta':\n let snapshot = __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n if (!snapshot) {\n throw Error('Received a RunStepDelta before creation of a snapshot');\n }\n let data = event.data;\n if (data.delta) {\n const accumulated = _a.accumulateDelta(snapshot, data.delta);\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = accumulated;\n }\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n case 'thread.run.step.in_progress':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n break;\n }\n if (__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id])\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n throw new Error('No snapshot available');\n}, _AssistantStream_accumulateMessage = function _AssistantStream_accumulateMessage(event, snapshot) {\n let newContent = [];\n switch (event.event) {\n case 'thread.message.created':\n //On creation the snapshot is just the initial message\n return [event.data, newContent];\n case 'thread.message.delta':\n if (!snapshot) {\n throw Error('Received a delta with no existing snapshot (there should be one from message creation)');\n }\n let data = event.data;\n //If this delta does not have content, nothing to process\n if (data.delta.content) {\n for (const contentElement of data.delta.content) {\n if (contentElement.index in snapshot.content) {\n let currentContent = snapshot.content[contentElement.index];\n snapshot.content[contentElement.index] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateContent).call(this, contentElement, currentContent);\n }\n else {\n snapshot.content[contentElement.index] = contentElement;\n // This is a new element\n newContent.push(contentElement);\n }\n }\n }\n return [snapshot, newContent];\n case 'thread.message.in_progress':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //No changes on other thread events\n if (snapshot) {\n return [snapshot, newContent];\n }\n else {\n throw Error('Received thread message event with no existing snapshot');\n }\n }\n throw Error('Tried to accumulate a non-message event');\n}, _AssistantStream_accumulateContent = function _AssistantStream_accumulateContent(contentElement, currentContent) {\n return _a.accumulateDelta(currentContent, contentElement);\n}, _AssistantStream_handleRun = function _AssistantStream_handleRun(event) {\n __classPrivateFieldSet(this, _AssistantStream_currentRunSnapshot, event.data, \"f\");\n switch (event.event) {\n case 'thread.run.created':\n break;\n case 'thread.run.queued':\n break;\n case 'thread.run.in_progress':\n break;\n case 'thread.run.requires_action':\n case 'thread.run.cancelled':\n case 'thread.run.failed':\n case 'thread.run.completed':\n case 'thread.run.expired':\n case 'thread.run.incomplete':\n __classPrivateFieldSet(this, _AssistantStream_finalRun, event.data, \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n break;\n case 'thread.run.cancelling':\n break;\n }\n};\nfunction assertNever(_x) { }\n//# sourceMappingURL=AssistantStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport * as StepsAPI from \"./steps.mjs\";\nimport { Steps, } from \"./steps.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../../lib/AssistantStream.mjs\";\nimport { sleep } from \"../../../../internal/utils/sleep.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.steps = new StepsAPI.Steps(this._client);\n }\n create(threadID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/threads/${threadID}/runs`, {\n query: { include },\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * Retrieves a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(runID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${runID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of runs belonging to a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/runs`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancels a run that is `in_progress`.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n cancel(runID, params, options) {\n const { thread_id } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * A helper to create a run an poll for a terminal state. More information on Run\n * lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndPoll(threadId, body, options) {\n const run = await this.create(threadId, body, options);\n return await this.poll(run.id, { thread_id: threadId }, options);\n }\n /**\n * Create a Run stream\n *\n * @deprecated use `stream` instead\n */\n createAndStream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n /**\n * A helper to poll a run status until it reaches a terminal state. More\n * information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async poll(runId, params, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: run, response } = await this.retrieve(runId, params, {\n ...options,\n headers: { ...options?.headers, ...headers },\n }).withResponse();\n switch (run.status) {\n //If we are in any sort of intermediate state we poll\n case 'queued':\n case 'in_progress':\n case 'cancelling':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n //We return the run in any terminal state.\n case 'requires_action':\n case 'incomplete':\n case 'cancelled':\n case 'completed':\n case 'failed':\n case 'expired':\n return run;\n }\n }\n }\n /**\n * Create a Run stream\n */\n stream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n submitToolOutputs(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/submit_tool_outputs`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * A helper to submit a tool output to a run and poll for a terminal run state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async submitToolOutputsAndPoll(runId, params, options) {\n const run = await this.submitToolOutputs(runId, params, options);\n return await this.poll(run.id, params, options);\n }\n /**\n * Submit the tool outputs from a previous run and stream the run to a terminal\n * state. More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n submitToolOutputsStream(runId, params, options) {\n return AssistantStream.createToolAssistantStream(runId, this._client.beta.threads.runs, params, options);\n }\n}\nRuns.Steps = Steps;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages, } from \"./messages.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../lib/AssistantStream.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Threads extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n /**\n * Create a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(body = {}, options) {\n return this._client.post('/threads', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(threadID, options) {\n return this._client.get(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(threadID, options) {\n return this._client.delete(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n createAndRun(body, options) {\n return this._client.post('/threads/runs', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: body.stream ?? false,\n });\n }\n /**\n * A helper to create a thread, start a run and then poll for a terminal state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndRunPoll(body, options) {\n const run = await this.createAndRun(body, options);\n return await this.runs.poll(run.id, { thread_id: run.thread_id }, options);\n }\n /**\n * Create a thread and stream the run back\n */\n createAndRunStream(body, options) {\n return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options);\n }\n}\nThreads.Runs = Runs;\nThreads.Messages = Messages;\n//# sourceMappingURL=threads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as AssistantsAPI from \"./assistants.mjs\";\nimport { Assistants, } from \"./assistants.mjs\";\nimport * as RealtimeAPI from \"./realtime/realtime.mjs\";\nimport { Realtime, } from \"./realtime/realtime.mjs\";\nimport * as ThreadsAPI from \"./threads/threads.mjs\";\nimport { Threads, } from \"./threads/threads.mjs\";\nexport class Beta extends APIResource {\n constructor() {\n super(...arguments);\n this.realtime = new RealtimeAPI.Realtime(this._client);\n this.assistants = new AssistantsAPI.Assistants(this._client);\n this.threads = new ThreadsAPI.Threads(this._client);\n }\n}\nBeta.Realtime = Realtime;\nBeta.Assistants = Assistants;\nBeta.Threads = Threads;\n//# sourceMappingURL=beta.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Completions extends APIResource {\n create(body, options) {\n return this._client.post('/completions', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Content extends APIResource {\n /**\n * Retrieve Container File Content\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=content.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as ContentAPI from \"./content.mjs\";\nimport { Content } from \"./content.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { multipartFormRequestOptions } from \"../../../internal/uploads.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n constructor() {\n super(...arguments);\n this.content = new ContentAPI.Content(this._client);\n }\n /**\n * Create a Container File\n *\n * You can send either a multipart/form-data request with the raw file content, or\n * a JSON request with a file ID.\n */\n create(containerID, body, options) {\n return this._client.post(path `/containers/${containerID}/files`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Retrieve Container File\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}`, options);\n }\n /**\n * List Container files\n */\n list(containerID, query = {}, options) {\n return this._client.getAPIList(path `/containers/${containerID}/files`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete Container File\n */\n delete(fileID, params, options) {\n const { container_id } = params;\n return this._client.delete(path `/containers/${container_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nFiles.Content = Content;\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FilesAPI from \"./files/files.mjs\";\nimport { Files, } from \"./files/files.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Containers extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n }\n /**\n * Create Container\n */\n create(body, options) {\n return this._client.post('/containers', { body, ...options });\n }\n /**\n * Retrieve Container\n */\n retrieve(containerID, options) {\n return this._client.get(path `/containers/${containerID}`, options);\n }\n /**\n * List Containers\n */\n list(query = {}, options) {\n return this._client.getAPIList('/containers', (CursorPage), { query, ...options });\n }\n /**\n * Delete Container\n */\n delete(containerID, options) {\n return this._client.delete(path `/containers/${containerID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nContainers.Files = Files;\n//# sourceMappingURL=containers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { ConversationCursorPage, } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Items extends APIResource {\n /**\n * Create items in a conversation with the given ID.\n */\n create(conversationID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/conversations/${conversationID}/items`, {\n query: { include },\n body,\n ...options,\n });\n }\n /**\n * Get a single item from a conversation with the given IDs.\n */\n retrieve(itemID, params, options) {\n const { conversation_id, ...query } = params;\n return this._client.get(path `/conversations/${conversation_id}/items/${itemID}`, { query, ...options });\n }\n /**\n * List all items for a conversation with the given ID.\n */\n list(conversationID, query = {}, options) {\n return this._client.getAPIList(path `/conversations/${conversationID}/items`, (ConversationCursorPage), { query, ...options });\n }\n /**\n * Delete an item from a conversation with the given IDs.\n */\n delete(itemID, params, options) {\n const { conversation_id } = params;\n return this._client.delete(path `/conversations/${conversation_id}/items/${itemID}`, options);\n }\n}\n//# sourceMappingURL=items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ItemsAPI from \"./items.mjs\";\nimport { Items, } from \"./items.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Conversations extends APIResource {\n constructor() {\n super(...arguments);\n this.items = new ItemsAPI.Items(this._client);\n }\n /**\n * Create a conversation.\n */\n create(body = {}, options) {\n return this._client.post('/conversations', { body, ...options });\n }\n /**\n * Get a conversation\n */\n retrieve(conversationID, options) {\n return this._client.get(path `/conversations/${conversationID}`, options);\n }\n /**\n * Update a conversation\n */\n update(conversationID, body, options) {\n return this._client.post(path `/conversations/${conversationID}`, { body, ...options });\n }\n /**\n * Delete a conversation. Items in the conversation will not be deleted.\n */\n delete(conversationID, options) {\n return this._client.delete(path `/conversations/${conversationID}`, options);\n }\n}\nConversations.Items = Items;\n//# sourceMappingURL=conversations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { loggerFor, toFloat32Array } from \"../internal/utils.mjs\";\nexport class Embeddings extends APIResource {\n /**\n * Creates an embedding vector representing the input text.\n *\n * @example\n * ```ts\n * const createEmbeddingResponse =\n * await client.embeddings.create({\n * input: 'The quick brown fox jumped over the lazy dog',\n * model: 'text-embedding-3-small',\n * });\n * ```\n */\n create(body, options) {\n const hasUserProvidedEncodingFormat = !!body.encoding_format;\n // No encoding_format specified, defaulting to base64 for performance reasons\n // See https://github.com/openai/openai-node/pull/1312\n let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';\n if (hasUserProvidedEncodingFormat) {\n loggerFor(this._client).debug('embeddings/user defined encoding_format:', body.encoding_format);\n }\n const response = this._client.post('/embeddings', {\n body: {\n ...body,\n encoding_format: encoding_format,\n },\n ...options,\n });\n // if the user specified an encoding_format, return the response as-is\n if (hasUserProvidedEncodingFormat) {\n return response;\n }\n // in this stage, we are sure the user did not specify an encoding_format\n // and we defaulted to base64 for performance reasons\n // we are sure then that the response is base64 encoded, let's decode it\n // the returned result will be a float32 array since this is OpenAI API's default encoding\n loggerFor(this._client).debug('embeddings/decoding base64 embeddings from base64');\n return response._thenUnwrap((response) => {\n if (response && response.data) {\n response.data.forEach((embeddingBase64Obj) => {\n const embeddingBase64Str = embeddingBase64Obj.embedding;\n embeddingBase64Obj.embedding = toFloat32Array(embeddingBase64Str);\n });\n }\n return response;\n });\n }\n}\n//# sourceMappingURL=embeddings.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class OutputItems extends APIResource {\n /**\n * Get an evaluation run output item by ID.\n */\n retrieve(outputItemID, params, options) {\n const { eval_id, run_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);\n }\n /**\n * Get a list of output items for an evaluation run.\n */\n list(runID, params, options) {\n const { eval_id, ...query } = params;\n return this._client.getAPIList(path `/evals/${eval_id}/runs/${runID}/output_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=output-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as OutputItemsAPI from \"./output-items.mjs\";\nimport { OutputItems, } from \"./output-items.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.outputItems = new OutputItemsAPI.OutputItems(this._client);\n }\n /**\n * Kicks off a new run for a given evaluation, specifying the data source, and what\n * model configuration to use to test. The datasource will be validated against the\n * schema specified in the config of the evaluation.\n */\n create(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}/runs`, { body, ...options });\n }\n /**\n * Get an evaluation run by ID.\n */\n retrieve(runID, params, options) {\n const { eval_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Get a list of runs for an evaluation.\n */\n list(evalID, query = {}, options) {\n return this._client.getAPIList(path `/evals/${evalID}/runs`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete an eval run.\n */\n delete(runID, params, options) {\n const { eval_id } = params;\n return this._client.delete(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Cancel an ongoing evaluation run.\n */\n cancel(runID, params, options) {\n const { eval_id } = params;\n return this._client.post(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n}\nRuns.OutputItems = OutputItems;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Evals extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n }\n /**\n * Create the structure of an evaluation that can be used to test a model's\n * performance. An evaluation is a set of testing criteria and the config for a\n * data source, which dictates the schema of the data used in the evaluation. After\n * creating an evaluation, you can run it on different models and model parameters.\n * We support several types of graders and datasources. For more information, see\n * the [Evals guide](https://platform.openai.com/docs/guides/evals).\n */\n create(body, options) {\n return this._client.post('/evals', { body, ...options });\n }\n /**\n * Get an evaluation by ID.\n */\n retrieve(evalID, options) {\n return this._client.get(path `/evals/${evalID}`, options);\n }\n /**\n * Update certain properties of an evaluation.\n */\n update(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}`, { body, ...options });\n }\n /**\n * List evaluations for a project.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/evals', (CursorPage), { query, ...options });\n }\n /**\n * Delete an evaluation.\n */\n delete(evalID, options) {\n return this._client.delete(path `/evals/${evalID}`, options);\n }\n}\nEvals.Runs = Runs;\n//# sourceMappingURL=evals.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nimport { sleep } from \"../internal/utils/sleep.mjs\";\nimport { APIConnectionTimeoutError } from \"../error.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Upload a file that can be used across various endpoints. Individual files can be\n * up to 512 MB, and the size of all files uploaded by one organization can be up\n * to 1 TB.\n *\n * The Assistants API supports files up to 2 million tokens and of specific file\n * types. See the\n * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for\n * details.\n *\n * The Fine-tuning API only supports `.jsonl` files. The input also has certain\n * required formats for fine-tuning\n * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or\n * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)\n * models.\n *\n * The Batch API only supports `.jsonl` files up to 200 MB in size. The input also\n * has a specific required\n * [format](https://platform.openai.com/docs/api-reference/batch/request-input).\n *\n * Please [contact us](https://help.openai.com/) if you need to increase these\n * storage limits.\n */\n create(body, options) {\n return this._client.post('/files', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Returns information about a specific file.\n */\n retrieve(fileID, options) {\n return this._client.get(path `/files/${fileID}`, options);\n }\n /**\n * Returns a list of files.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/files', (CursorPage), { query, ...options });\n }\n /**\n * Delete a file.\n */\n delete(fileID, options) {\n return this._client.delete(path `/files/${fileID}`, options);\n }\n /**\n * Returns the contents of the specified file.\n */\n content(fileID, options) {\n return this._client.get(path `/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n /**\n * Waits for the given file to be processed, default timeout is 30 mins.\n */\n async waitForProcessing(id, { pollInterval = 5000, maxWait = 30 * 60 * 1000 } = {}) {\n const TERMINAL_STATES = new Set(['processed', 'error', 'deleted']);\n const start = Date.now();\n let file = await this.retrieve(id);\n while (!file.status || !TERMINAL_STATES.has(file.status)) {\n await sleep(pollInterval);\n file = await this.retrieve(id);\n if (Date.now() - start > maxWait) {\n throw new APIConnectionTimeoutError({\n message: `Giving up on waiting for file ${id} to finish processing after ${maxWait} milliseconds.`,\n });\n }\n }\n return file;\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class Methods extends APIResource {\n}\n//# sourceMappingURL=methods.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nexport class Graders extends APIResource {\n /**\n * Run a grader.\n *\n * @example\n * ```ts\n * const response = await client.fineTuning.alpha.graders.run({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * model_sample: 'model_sample',\n * });\n * ```\n */\n run(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/run', { body, ...options });\n }\n /**\n * Validate a grader.\n *\n * @example\n * ```ts\n * const response =\n * await client.fineTuning.alpha.graders.validate({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * });\n * ```\n */\n validate(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options });\n }\n}\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as GradersAPI from \"./graders.mjs\";\nimport { Graders, } from \"./graders.mjs\";\nexport class Alpha extends APIResource {\n constructor() {\n super(...arguments);\n this.graders = new GradersAPI.Graders(this._client);\n }\n}\nAlpha.Graders = Graders;\n//# sourceMappingURL=alpha.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { Page } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Permissions extends APIResource {\n /**\n * **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).\n *\n * This enables organization owners to share fine-tuned models with other projects\n * in their organization.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const permissionCreateResponse of client.fineTuning.checkpoints.permissions.create(\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * { project_ids: ['string'] },\n * )) {\n * // ...\n * }\n * ```\n */\n create(fineTunedModelCheckpoint, body, options) {\n return this._client.getAPIList(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, (Page), { body, method: 'post', ...options });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to view all permissions for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTunedModelCheckpoint, query = {}, options) {\n return this._client.get(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, {\n query,\n ...options,\n });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to delete a permission for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.delete(\n * 'cp_zc4Q7MP6XxulcVzj4MZdwsAB',\n * {\n * fine_tuned_model_checkpoint:\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * },\n * );\n * ```\n */\n delete(permissionID, params, options) {\n const { fine_tuned_model_checkpoint } = params;\n return this._client.delete(path `/fine_tuning/checkpoints/${fine_tuned_model_checkpoint}/permissions/${permissionID}`, options);\n }\n}\n//# sourceMappingURL=permissions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as PermissionsAPI from \"./permissions.mjs\";\nimport { Permissions, } from \"./permissions.mjs\";\nexport class Checkpoints extends APIResource {\n constructor() {\n super(...arguments);\n this.permissions = new PermissionsAPI.Permissions(this._client);\n }\n}\nCheckpoints.Permissions = Permissions;\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Checkpoints extends APIResource {\n /**\n * List checkpoints for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobCheckpoint of client.fineTuning.jobs.checkpoints.list(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n list(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/checkpoints`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints.mjs\";\nimport { Checkpoints, } from \"./checkpoints.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Jobs extends APIResource {\n constructor() {\n super(...arguments);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n }\n /**\n * Creates a fine-tuning job which begins the process of creating a new model from\n * a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.create({\n * model: 'gpt-4o-mini',\n * training_file: 'file-abc123',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/fine_tuning/jobs', { body, ...options });\n }\n /**\n * Get info about a fine-tuning job.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTuningJobID, options) {\n return this._client.get(path `/fine_tuning/jobs/${fineTuningJobID}`, options);\n }\n /**\n * List your organization's fine-tuning jobs\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJob of client.fineTuning.jobs.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/fine_tuning/jobs', (CursorPage), { query, ...options });\n }\n /**\n * Immediately cancel a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.cancel(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n cancel(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/cancel`, options);\n }\n /**\n * Get status updates for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n listEvents(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/events`, (CursorPage), { query, ...options });\n }\n /**\n * Pause a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.pause(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n pause(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/pause`, options);\n }\n /**\n * Resume a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.resume(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n resume(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/resume`, options);\n }\n}\nJobs.Checkpoints = Checkpoints;\n//# sourceMappingURL=jobs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as MethodsAPI from \"./methods.mjs\";\nimport { Methods, } from \"./methods.mjs\";\nimport * as AlphaAPI from \"./alpha/alpha.mjs\";\nimport { Alpha } from \"./alpha/alpha.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints/checkpoints.mjs\";\nimport { Checkpoints } from \"./checkpoints/checkpoints.mjs\";\nimport * as JobsAPI from \"./jobs/jobs.mjs\";\nimport { Jobs, } from \"./jobs/jobs.mjs\";\nexport class FineTuning extends APIResource {\n constructor() {\n super(...arguments);\n this.methods = new MethodsAPI.Methods(this._client);\n this.jobs = new JobsAPI.Jobs(this._client);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n this.alpha = new AlphaAPI.Alpha(this._client);\n }\n}\nFineTuning.Methods = Methods;\nFineTuning.Jobs = Jobs;\nFineTuning.Checkpoints = Checkpoints;\nFineTuning.Alpha = Alpha;\n//# sourceMappingURL=fine-tuning.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class GraderModels extends APIResource {\n}\n//# sourceMappingURL=grader-models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as GraderModelsAPI from \"./grader-models.mjs\";\nimport { GraderModels, } from \"./grader-models.mjs\";\nexport class Graders extends APIResource {\n constructor() {\n super(...arguments);\n this.graderModels = new GraderModelsAPI.GraderModels(this._client);\n }\n}\nGraders.GraderModels = GraderModels;\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nexport class Images extends APIResource {\n /**\n * Creates a variation of a given image. This endpoint only supports `dall-e-2`.\n *\n * @example\n * ```ts\n * const imagesResponse = await client.images.createVariation({\n * image: fs.createReadStream('otter.png'),\n * });\n * ```\n */\n createVariation(body, options) {\n return this._client.post('/images/variations', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n edit(body, options) {\n return this._client.post('/images/edits', multipartFormRequestOptions({ body, ...options, stream: body.stream ?? false }, this._client));\n }\n generate(body, options) {\n return this._client.post('/images/generations', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=images.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { Page } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Models extends APIResource {\n /**\n * Retrieves a model instance, providing basic information about the model such as\n * the owner and permissioning.\n */\n retrieve(model, options) {\n return this._client.get(path `/models/${model}`, options);\n }\n /**\n * Lists the currently available models, and provides basic information about each\n * one such as the owner and availability.\n */\n list(options) {\n return this._client.getAPIList('/models', (Page), options);\n }\n /**\n * Delete a fine-tuned model. You must have the Owner role in your organization to\n * delete a model.\n */\n delete(model, options) {\n return this._client.delete(path `/models/${model}`, options);\n }\n}\n//# sourceMappingURL=models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Moderations extends APIResource {\n /**\n * Classifies if text and/or image inputs are potentially harmful. Learn more in\n * the [moderation guide](https://platform.openai.com/docs/guides/moderation).\n */\n create(body, options) {\n return this._client.post('/moderations', { body, ...options });\n }\n}\n//# sourceMappingURL=moderations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class ClientSecrets extends APIResource {\n /**\n * Create a Realtime client secret with an associated session configuration.\n */\n create(body, options) {\n return this._client.post('/realtime/client_secrets', { body, ...options });\n }\n}\n//# sourceMappingURL=client-secrets.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ClientSecretsAPI from \"./client-secrets.mjs\";\nimport { ClientSecrets, } from \"./client-secrets.mjs\";\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.clientSecrets = new ClientSecretsAPI.ClientSecrets(this._client);\n }\n}\nRealtime.ClientSecrets = ClientSecrets;\n//# sourceMappingURL=realtime.mjs.map","import { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableResponseFormat } from \"../lib/parser.mjs\";\nexport function maybeParseResponse(response, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...response,\n output_parsed: null,\n output: response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: null,\n };\n }\n if (item.type === 'message') {\n return {\n ...item,\n content: item.content.map((content) => ({\n ...content,\n parsed: null,\n })),\n };\n }\n else {\n return item;\n }\n }),\n };\n }\n return parseResponse(response, params);\n}\nexport function parseResponse(response, params) {\n const output = response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: parseToolCall(params, item),\n };\n }\n if (item.type === 'message') {\n const content = item.content.map((content) => {\n if (content.type === 'output_text') {\n return {\n ...content,\n parsed: parseTextFormat(params, content.text),\n };\n }\n return content;\n });\n return {\n ...item,\n content,\n };\n }\n return item;\n });\n const parsed = Object.assign({}, response, { output });\n if (!Object.getOwnPropertyDescriptor(response, 'output_text')) {\n addOutputText(parsed);\n }\n Object.defineProperty(parsed, 'output_parsed', {\n enumerable: true,\n get() {\n for (const output of parsed.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text' && content.parsed !== null) {\n return content.parsed;\n }\n }\n }\n return null;\n },\n });\n return parsed;\n}\nfunction parseTextFormat(params, content) {\n if (params.text?.format?.type !== 'json_schema') {\n return null;\n }\n if ('$parseRaw' in params.text?.format) {\n const text_format = params.text?.format;\n return text_format.$parseRaw(content);\n }\n return JSON.parse(content);\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.text?.format)) {\n return true;\n }\n return false;\n}\nexport function makeParseableResponseTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nfunction getInputToolByName(input_tools, name) {\n return input_tools.find((tool) => tool.type === 'function' && tool.name === name);\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return {\n ...toolCall,\n ...toolCall,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.arguments)\n : inputTool?.strict ? JSON.parse(toolCall.arguments)\n : null,\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params) {\n return false;\n }\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return isAutoParsableTool(inputTool) || inputTool?.strict || false;\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\nexport function addOutputText(rsp) {\n const texts = [];\n for (const output of rsp.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text') {\n texts.push(content.text);\n }\n }\n }\n rsp.output_text = texts.join('');\n}\n//# sourceMappingURL=ResponsesParser.mjs.map","var _ResponseStream_instances, _ResponseStream_params, _ResponseStream_currentResponseSnapshot, _ResponseStream_finalResponse, _ResponseStream_beginRequest, _ResponseStream_addEvent, _ResponseStream_endRequest, _ResponseStream_accumulateResponse;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../../error.mjs\";\nimport { EventStream } from \"../EventStream.mjs\";\nimport { maybeParseResponse } from \"../ResponsesParser.mjs\";\nexport class ResponseStream extends EventStream {\n constructor(params) {\n super();\n _ResponseStream_instances.add(this);\n _ResponseStream_params.set(this, void 0);\n _ResponseStream_currentResponseSnapshot.set(this, void 0);\n _ResponseStream_finalResponse.set(this, void 0);\n __classPrivateFieldSet(this, _ResponseStream_params, params, \"f\");\n }\n static createResponse(client, params, options) {\n const runner = new ResponseStream(params);\n runner._run(() => runner._createOrRetrieveResponse(client, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createOrRetrieveResponse(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_beginRequest).call(this);\n let stream;\n let starting_after = null;\n if ('response_id' in params) {\n stream = await client.responses.retrieve(params.response_id, { stream: true }, { ...options, signal: this.controller.signal, stream: true });\n starting_after = params.starting_after ?? null;\n }\n else {\n stream = await client.responses.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n }\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_addEvent).call(this, event, starting_after);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_endRequest).call(this);\n }\n [(_ResponseStream_params = new WeakMap(), _ResponseStream_currentResponseSnapshot = new WeakMap(), _ResponseStream_finalResponse = new WeakMap(), _ResponseStream_instances = new WeakSet(), _ResponseStream_beginRequest = function _ResponseStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n }, _ResponseStream_addEvent = function _ResponseStream_addEvent(event, starting_after) {\n if (this.ended)\n return;\n const maybeEmit = (name, event) => {\n if (starting_after == null || event.sequence_number > starting_after) {\n this._emit(name, event);\n }\n };\n const response = __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_accumulateResponse).call(this, event);\n maybeEmit('event', event);\n switch (event.type) {\n case 'response.output_text.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n maybeEmit('response.output_text.delta', {\n ...event,\n snapshot: content.text,\n });\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n maybeEmit('response.function_call_arguments.delta', {\n ...event,\n snapshot: output.arguments,\n });\n }\n break;\n }\n default:\n maybeEmit(event.type, event);\n break;\n }\n }, _ResponseStream_endRequest = function _ResponseStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any events`);\n }\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n const parsedResponse = finalizeResponse(snapshot, __classPrivateFieldGet(this, _ResponseStream_params, \"f\"));\n __classPrivateFieldSet(this, _ResponseStream_finalResponse, parsedResponse, \"f\");\n return parsedResponse;\n }, _ResponseStream_accumulateResponse = function _ResponseStream_accumulateResponse(event) {\n let snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n if (event.type !== 'response.created') {\n throw new OpenAIError(`When snapshot hasn't been set yet, expected 'response.created' event, got ${event.type}`);\n }\n snapshot = __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n return snapshot;\n }\n switch (event.type) {\n case 'response.output_item.added': {\n snapshot.output.push(event.item);\n break;\n }\n case 'response.content_part.added': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n const type = output.type;\n const part = event.part;\n if (type === 'message' && part.type !== 'reasoning_text') {\n output.content.push(part);\n }\n else if (type === 'reasoning' && part.type === 'reasoning_text') {\n if (!output.content) {\n output.content = [];\n }\n output.content.push(part);\n }\n break;\n }\n case 'response.output_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n output.arguments += event.delta;\n }\n break;\n }\n case 'response.reasoning_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'reasoning') {\n const content = output.content?.[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'reasoning_text') {\n throw new OpenAIError(`expected content to be 'reasoning_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.completed': {\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n break;\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((event) => (event ? { value: event, done: false } : { value: undefined, done: true }));\n }\n const event = pushQueue.shift();\n return { value: event, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n /**\n * @returns a promise that resolves with the final Response, or rejects\n * if an error occurred or the stream ended prematurely without producing a REsponse.\n */\n async finalResponse() {\n await this.done();\n const response = __classPrivateFieldGet(this, _ResponseStream_finalResponse, \"f\");\n if (!response)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return response;\n }\n}\nfunction finalizeResponse(snapshot, params) {\n return maybeParseResponse(snapshot, params);\n}\n//# sourceMappingURL=ResponseStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class InputItems extends APIResource {\n /**\n * Returns a list of input items for a given response.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const responseItem of client.responses.inputItems.list(\n * 'response_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(responseID, query = {}, options) {\n return this._client.getAPIList(path `/responses/${responseID}/input_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=input-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { parseResponse, addOutputText, } from \"../../lib/ResponsesParser.mjs\";\nimport { ResponseStream } from \"../../lib/responses/ResponseStream.mjs\";\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as InputItemsAPI from \"./input-items.mjs\";\nimport { InputItems } from \"./input-items.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Responses extends APIResource {\n constructor() {\n super(...arguments);\n this.inputItems = new InputItemsAPI.InputItems(this._client);\n }\n create(body, options) {\n return this._client.post('/responses', { body, ...options, stream: body.stream ?? false })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n retrieve(responseID, query = {}, options) {\n return this._client.get(path `/responses/${responseID}`, {\n query,\n ...options,\n stream: query?.stream ?? false,\n })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n /**\n * Deletes a model response with the given ID.\n *\n * @example\n * ```ts\n * await client.responses.delete(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n delete(responseID, options) {\n return this._client.delete(path `/responses/${responseID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n parse(body, options) {\n return this._client.responses\n .create(body, options)\n ._thenUnwrap((response) => parseResponse(response, body));\n }\n /**\n * Creates a model response stream\n */\n stream(body, options) {\n return ResponseStream.createResponse(this._client, body, options);\n }\n /**\n * Cancels a model response with the given ID. Only responses created with the\n * `background` parameter set to `true` can be cancelled.\n * [Learn more](https://platform.openai.com/docs/guides/background).\n *\n * @example\n * ```ts\n * const response = await client.responses.cancel(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n cancel(responseID, options) {\n return this._client.post(path `/responses/${responseID}/cancel`, options);\n }\n}\nResponses.InputItems = InputItems;\n//# sourceMappingURL=responses.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Parts extends APIResource {\n /**\n * Adds a\n * [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.\n * A Part represents a chunk of bytes from the file you are trying to upload.\n *\n * Each Part can be at most 64 MB, and you can add Parts until you hit the Upload\n * maximum of 8 GB.\n *\n * It is possible to add multiple Parts in parallel. You can decide the intended\n * order of the Parts when you\n * [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).\n */\n create(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/parts`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n}\n//# sourceMappingURL=parts.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as PartsAPI from \"./parts.mjs\";\nimport { Parts } from \"./parts.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Uploads extends APIResource {\n constructor() {\n super(...arguments);\n this.parts = new PartsAPI.Parts(this._client);\n }\n /**\n * Creates an intermediate\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object\n * that you can add\n * [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.\n * Currently, an Upload can accept at most 8 GB in total and expires after an hour\n * after you create it.\n *\n * Once you complete the Upload, we will create a\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * contains all the parts you uploaded. This File is usable in the rest of our\n * platform as a regular File object.\n *\n * For certain `purpose` values, the correct `mime_type` must be specified. Please\n * refer to documentation for the\n * [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).\n *\n * For guidance on the proper filename extensions for each purpose, please follow\n * the documentation on\n * [creating a File](https://platform.openai.com/docs/api-reference/files/create).\n */\n create(body, options) {\n return this._client.post('/uploads', { body, ...options });\n }\n /**\n * Cancels the Upload. No Parts may be added after an Upload is cancelled.\n */\n cancel(uploadID, options) {\n return this._client.post(path `/uploads/${uploadID}/cancel`, options);\n }\n /**\n * Completes the\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object).\n *\n * Within the returned Upload object, there is a nested\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * is ready to use in the rest of the platform.\n *\n * You can specify the order of the Parts by passing in an ordered list of the Part\n * IDs.\n *\n * The number of bytes uploaded upon completion must match the number of bytes\n * initially specified when creating the Upload object. No Parts may be added after\n * an Upload is completed.\n */\n complete(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/complete`, { body, ...options });\n }\n}\nUploads.Parts = Parts;\n//# sourceMappingURL=uploads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils/sleep.mjs\";\nimport { allSettledWithThrow } from \"../../lib/Util.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class FileBatches extends APIResource {\n /**\n * Create a vector store file batch.\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/file_batches`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file batch.\n */\n retrieve(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/file_batches/${batchID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancel a vector store file batch. This attempts to cancel the processing of\n * files in this batch as soon as possible.\n */\n cancel(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Create a vector store batch and poll until all files have been processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const batch = await this.create(vectorStoreId, body);\n return await this.poll(vectorStoreId, batch.id, options);\n }\n /**\n * Returns a list of vector store files in a batch.\n */\n listFiles(batchID, params, options) {\n const { vector_store_id, ...query } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/files`, (CursorPage), { query, ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n /**\n * Wait for the given file batch to be processed.\n *\n * Note: this will return even if one of the files failed to process, you need to\n * check batch.file_counts.failed_count to handle this case.\n */\n async poll(vectorStoreID, batchID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: batch, response } = await this.retrieve(batchID, { vector_store_id: vectorStoreID }, {\n ...options,\n headers,\n }).withResponse();\n switch (batch.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'cancelled':\n case 'completed':\n return batch;\n }\n }\n }\n /**\n * Uploads the given files concurrently and then creates a vector store file batch.\n *\n * The concurrency limit is configurable using the `maxConcurrency` parameter.\n */\n async uploadAndPoll(vectorStoreId, { files, fileIds = [] }, options) {\n if (files == null || files.length == 0) {\n throw new Error(`No \\`files\\` provided to process. If you've already uploaded files you should use \\`.createAndPoll()\\` instead`);\n }\n const configuredConcurrency = options?.maxConcurrency ?? 5;\n // We cap the number of workers at the number of files (so we don't start any unnecessary workers)\n const concurrencyLimit = Math.min(configuredConcurrency, files.length);\n const client = this._client;\n const fileIterator = files.values();\n const allFileIds = [...fileIds];\n // This code is based on this design. The libraries don't accommodate our environment limits.\n // https://stackoverflow.com/questions/40639432/what-is-the-best-way-to-limit-concurrency-when-using-es6s-promise-all\n async function processFiles(iterator) {\n for (let item of iterator) {\n const fileObj = await client.files.create({ file: item, purpose: 'assistants' }, options);\n allFileIds.push(fileObj.id);\n }\n }\n // Start workers to process results\n const workers = Array(concurrencyLimit).fill(fileIterator).map(processFiles);\n // Wait for all processing to complete.\n await allSettledWithThrow(workers);\n return await this.createAndPoll(vectorStoreId, {\n file_ids: allFileIds,\n });\n }\n}\n//# sourceMappingURL=file-batches.mjs.map","/**\n * Like `Promise.allSettled()` but throws an error if any promises are rejected.\n */\nexport const allSettledWithThrow = async (promises) => {\n const results = await Promise.allSettled(promises);\n const rejected = results.filter((result) => result.status === 'rejected');\n if (rejected.length) {\n for (const result of rejected) {\n console.error(result.reason);\n }\n throw new Error(`${rejected.length} promise(s) failed - see the above errors`);\n }\n // Note: TS was complaining about using `.filter().map()` here for some reason\n const values = [];\n for (const result of results) {\n if (result.status === 'fulfilled') {\n values.push(result.value);\n }\n }\n return values;\n};\n//# sourceMappingURL=Util.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Create a vector store file by attaching a\n * [File](https://platform.openai.com/docs/api-reference/files) to a\n * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/files`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file.\n */\n retrieve(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Update attributes on a vector store file.\n */\n update(fileID, params, options) {\n const { vector_store_id, ...body } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector store files.\n */\n list(vectorStoreID, query = {}, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/files`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store file. This will remove the file from the vector store but\n * the file itself will not be deleted. To delete the file, use the\n * [delete file](https://platform.openai.com/docs/api-reference/files/delete)\n * endpoint.\n */\n delete(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.delete(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Attach a file to the given vector store and wait for it to be processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const file = await this.create(vectorStoreId, body, options);\n return await this.poll(vectorStoreId, file.id, options);\n }\n /**\n * Wait for the vector store file to finish processing.\n *\n * Note: this will return even if the file failed to process, you need to check\n * file.last_error and file.status to handle these cases\n */\n async poll(vectorStoreID, fileID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const fileResponse = await this.retrieve(fileID, {\n vector_store_id: vectorStoreID,\n }, { ...options, headers }).withResponse();\n const file = fileResponse.data;\n switch (file.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'completed':\n return file;\n }\n }\n }\n /**\n * Upload a file to the `files` API and then attach it to the given vector store.\n *\n * Note the file will be asynchronously processed (you can use the alternative\n * polling helper method to wait for processing to complete).\n */\n async upload(vectorStoreId, file, options) {\n const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options);\n return this.create(vectorStoreId, { file_id: fileInfo.id }, options);\n }\n /**\n * Add a file to a vector store and poll until processing is complete.\n */\n async uploadAndPoll(vectorStoreId, file, options) {\n const fileInfo = await this.upload(vectorStoreId, file, options);\n return await this.poll(vectorStoreId, fileInfo.id, options);\n }\n /**\n * Retrieve the parsed contents of a vector store file.\n */\n content(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/files/${fileID}/content`, (Page), { ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FileBatchesAPI from \"./file-batches.mjs\";\nimport { FileBatches, } from \"./file-batches.mjs\";\nimport * as FilesAPI from \"./files.mjs\";\nimport { Files, } from \"./files.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class VectorStores extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n this.fileBatches = new FileBatchesAPI.FileBatches(this._client);\n }\n /**\n * Create a vector store.\n */\n create(body, options) {\n return this._client.post('/vector_stores', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store.\n */\n retrieve(vectorStoreID, options) {\n return this._client.get(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a vector store.\n */\n update(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector stores.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/vector_stores', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store.\n */\n delete(vectorStoreID, options) {\n return this._client.delete(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Search a vector store for relevant chunks based on a query and file attributes\n * filter.\n */\n search(vectorStoreID, body, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/search`, (Page), {\n body,\n method: 'post',\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\nVectorStores.Files = Files;\nVectorStores.FileBatches = FileBatches;\n//# sourceMappingURL=vector-stores.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _Webhooks_instances, _Webhooks_validateSecret, _Webhooks_getRequiredHeader;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { InvalidWebhookSignatureError } from \"../error.mjs\";\nimport { APIResource } from \"../core/resource.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nexport class Webhooks extends APIResource {\n constructor() {\n super(...arguments);\n _Webhooks_instances.add(this);\n }\n /**\n * Validates that the given payload was sent by OpenAI and parses the payload.\n */\n async unwrap(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n await this.verifySignature(payload, headers, secret, tolerance);\n return JSON.parse(payload);\n }\n /**\n * Validates whether or not the webhook payload was sent by OpenAI.\n *\n * An error will be raised if the webhook payload was not sent by OpenAI.\n *\n * @param payload - The webhook payload\n * @param headers - The webhook headers\n * @param secret - The webhook secret (optional, will use client secret if not provided)\n * @param tolerance - Maximum age of the webhook in seconds (default: 300 = 5 minutes)\n */\n async verifySignature(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n if (typeof crypto === 'undefined' ||\n typeof crypto.subtle.importKey !== 'function' ||\n typeof crypto.subtle.verify !== 'function') {\n throw new Error('Webhook signature verification is only supported when the `crypto` global is defined');\n }\n __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_validateSecret).call(this, secret);\n const headersObj = buildHeaders([headers]).values;\n const signatureHeader = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-signature');\n const timestamp = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-timestamp');\n const webhookId = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-id');\n // Validate timestamp to prevent replay attacks\n const timestampSeconds = parseInt(timestamp, 10);\n if (isNaN(timestampSeconds)) {\n throw new InvalidWebhookSignatureError('Invalid webhook timestamp format');\n }\n const nowSeconds = Math.floor(Date.now() / 1000);\n if (nowSeconds - timestampSeconds > tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too old');\n }\n if (timestampSeconds > nowSeconds + tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too new');\n }\n // Extract signatures from v1, format\n // The signature header can have multiple values, separated by spaces.\n // Each value is in the format v1,. We should accept if any match.\n const signatures = signatureHeader\n .split(' ')\n .map((part) => (part.startsWith('v1,') ? part.substring(3) : part));\n // Decode the secret if it starts with whsec_\n const decodedSecret = secret.startsWith('whsec_') ?\n Buffer.from(secret.replace('whsec_', ''), 'base64')\n : Buffer.from(secret, 'utf-8');\n // Create the signed payload: {webhook_id}.{timestamp}.{payload}\n const signedPayload = webhookId ? `${webhookId}.${timestamp}.${payload}` : `${timestamp}.${payload}`;\n // Import the secret as a cryptographic key for HMAC\n const key = await crypto.subtle.importKey('raw', decodedSecret, { name: 'HMAC', hash: 'SHA-256' }, false, ['verify']);\n // Check if any signature matches using timing-safe WebCrypto verify\n for (const signature of signatures) {\n try {\n const signatureBytes = Buffer.from(signature, 'base64');\n const isValid = await crypto.subtle.verify('HMAC', key, signatureBytes, new TextEncoder().encode(signedPayload));\n if (isValid) {\n return; // Valid signature found\n }\n }\n catch {\n // Invalid base64 or signature format, continue to next signature\n continue;\n }\n }\n throw new InvalidWebhookSignatureError('The given webhook signature does not match the expected signature');\n }\n}\n_Webhooks_instances = new WeakSet(), _Webhooks_validateSecret = function _Webhooks_validateSecret(secret) {\n if (typeof secret !== 'string' || secret.length === 0) {\n throw new Error(`The webhook secret must either be set using the env var, OPENAI_WEBHOOK_SECRET, on the client class, OpenAI({ webhookSecret: '123' }), or passed to this function`);\n }\n}, _Webhooks_getRequiredHeader = function _Webhooks_getRequiredHeader(headers, name) {\n if (!headers) {\n throw new Error(`Headers are required`);\n }\n const value = headers.get(name);\n if (value === null || value === undefined) {\n throw new Error(`Missing required header: ${name}`);\n }\n return value;\n};\n//# sourceMappingURL=webhooks.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _OpenAI_instances, _a, _OpenAI_encoder, _OpenAI_baseURLOverridden;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"./internal/tslib.mjs\";\nimport { uuid4 } from \"./internal/utils/uuid.mjs\";\nimport { validatePositiveInteger, isAbsoluteURL, safeJSON } from \"./internal/utils/values.mjs\";\nimport { sleep } from \"./internal/utils/sleep.mjs\";\nimport { castToError, isAbortError } from \"./internal/errors.mjs\";\nimport { getPlatformHeaders } from \"./internal/detect-platform.mjs\";\nimport * as Shims from \"./internal/shims.mjs\";\nimport * as Opts from \"./internal/request-options.mjs\";\nimport * as qs from \"./internal/qs/index.mjs\";\nimport { VERSION } from \"./version.mjs\";\nimport * as Errors from \"./core/error.mjs\";\nimport * as Pagination from \"./core/pagination.mjs\";\nimport * as Uploads from \"./core/uploads.mjs\";\nimport * as API from \"./resources/index.mjs\";\nimport { APIPromise } from \"./core/api-promise.mjs\";\nimport { Batches, } from \"./resources/batches.mjs\";\nimport { Completions, } from \"./resources/completions.mjs\";\nimport { Embeddings, } from \"./resources/embeddings.mjs\";\nimport { Files, } from \"./resources/files.mjs\";\nimport { Images, } from \"./resources/images.mjs\";\nimport { Models } from \"./resources/models.mjs\";\nimport { Moderations, } from \"./resources/moderations.mjs\";\nimport { Webhooks } from \"./resources/webhooks.mjs\";\nimport { Audio } from \"./resources/audio/audio.mjs\";\nimport { Beta } from \"./resources/beta/beta.mjs\";\nimport { Chat } from \"./resources/chat/chat.mjs\";\nimport { Containers, } from \"./resources/containers/containers.mjs\";\nimport { Conversations } from \"./resources/conversations/conversations.mjs\";\nimport { Evals, } from \"./resources/evals/evals.mjs\";\nimport { FineTuning } from \"./resources/fine-tuning/fine-tuning.mjs\";\nimport { Graders } from \"./resources/graders/graders.mjs\";\nimport { Realtime } from \"./resources/realtime/realtime.mjs\";\nimport { Responses } from \"./resources/responses/responses.mjs\";\nimport { Uploads as UploadsAPIUploads, } from \"./resources/uploads/uploads.mjs\";\nimport { VectorStores, } from \"./resources/vector-stores/vector-stores.mjs\";\nimport { isRunningInBrowser } from \"./internal/detect-platform.mjs\";\nimport { buildHeaders } from \"./internal/headers.mjs\";\nimport { readEnv } from \"./internal/utils/env.mjs\";\nimport { formatRequestDetails, loggerFor, parseLogLevel, } from \"./internal/utils/log.mjs\";\nimport { isEmptyObj } from \"./internal/utils/values.mjs\";\n/**\n * API Client for interfacing with the OpenAI API.\n */\nexport class OpenAI {\n /**\n * API Client for interfacing with the OpenAI API.\n *\n * @param {string | undefined} [opts.apiKey=process.env['OPENAI_API_KEY'] ?? undefined]\n * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null]\n * @param {string | null | undefined} [opts.project=process.env['OPENAI_PROJECT_ID'] ?? null]\n * @param {string | null | undefined} [opts.webhookSecret=process.env['OPENAI_WEBHOOK_SECRET'] ?? null]\n * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL'] ?? https://api.openai.com/v1] - Override the default base URL for the API.\n * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.\n * @param {MergedRequestInit} [opts.fetchOptions] - Additional `RequestInit` options to be passed to `fetch` calls.\n * @param {Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.\n * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.\n * @param {HeadersLike} opts.defaultHeaders - Default headers to include with every request to the API.\n * @param {Record} opts.defaultQuery - Default query parameters to include with every request to the API.\n * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n */\n constructor({ baseURL = readEnv('OPENAI_BASE_URL'), apiKey = readEnv('OPENAI_API_KEY'), organization = readEnv('OPENAI_ORG_ID') ?? null, project = readEnv('OPENAI_PROJECT_ID') ?? null, webhookSecret = readEnv('OPENAI_WEBHOOK_SECRET') ?? null, ...opts } = {}) {\n _OpenAI_instances.add(this);\n _OpenAI_encoder.set(this, void 0);\n this.completions = new API.Completions(this);\n this.chat = new API.Chat(this);\n this.embeddings = new API.Embeddings(this);\n this.files = new API.Files(this);\n this.images = new API.Images(this);\n this.audio = new API.Audio(this);\n this.moderations = new API.Moderations(this);\n this.models = new API.Models(this);\n this.fineTuning = new API.FineTuning(this);\n this.graders = new API.Graders(this);\n this.vectorStores = new API.VectorStores(this);\n this.webhooks = new API.Webhooks(this);\n this.beta = new API.Beta(this);\n this.batches = new API.Batches(this);\n this.uploads = new API.Uploads(this);\n this.responses = new API.Responses(this);\n this.realtime = new API.Realtime(this);\n this.conversations = new API.Conversations(this);\n this.evals = new API.Evals(this);\n this.containers = new API.Containers(this);\n if (apiKey === undefined) {\n throw new Errors.OpenAIError('Missing credentials. Please pass an `apiKey`, or set the `OPENAI_API_KEY` environment variable.');\n }\n const options = {\n apiKey,\n organization,\n project,\n webhookSecret,\n ...opts,\n baseURL: baseURL || `https://api.openai.com/v1`,\n };\n if (!options.dangerouslyAllowBrowser && isRunningInBrowser()) {\n throw new Errors.OpenAIError(\"It looks like you're running in a browser-like environment.\\n\\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\\nIf you understand the risks and have appropriate mitigations in place,\\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\\n\\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\\n\\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\\n\");\n }\n this.baseURL = options.baseURL;\n this.timeout = options.timeout ?? _a.DEFAULT_TIMEOUT /* 10 minutes */;\n this.logger = options.logger ?? console;\n const defaultLogLevel = 'warn';\n // Set default logLevel early so that we can log a warning in parseLogLevel.\n this.logLevel = defaultLogLevel;\n this.logLevel =\n parseLogLevel(options.logLevel, 'ClientOptions.logLevel', this) ??\n parseLogLevel(readEnv('OPENAI_LOG'), \"process.env['OPENAI_LOG']\", this) ??\n defaultLogLevel;\n this.fetchOptions = options.fetchOptions;\n this.maxRetries = options.maxRetries ?? 2;\n this.fetch = options.fetch ?? Shims.getDefaultFetch();\n __classPrivateFieldSet(this, _OpenAI_encoder, Opts.FallbackEncoder, \"f\");\n this._options = options;\n this.apiKey = typeof apiKey === 'string' ? apiKey : 'Missing Key';\n this.organization = organization;\n this.project = project;\n this.webhookSecret = webhookSecret;\n }\n /**\n * Create a new client instance re-using the same options given to the current client with optional overriding.\n */\n withOptions(options) {\n const client = new this.constructor({\n ...this._options,\n baseURL: this.baseURL,\n maxRetries: this.maxRetries,\n timeout: this.timeout,\n logger: this.logger,\n logLevel: this.logLevel,\n fetch: this.fetch,\n fetchOptions: this.fetchOptions,\n apiKey: this.apiKey,\n organization: this.organization,\n project: this.project,\n webhookSecret: this.webhookSecret,\n ...options,\n });\n return client;\n }\n defaultQuery() {\n return this._options.defaultQuery;\n }\n validateHeaders({ values, nulls }) {\n return;\n }\n async authHeaders(opts) {\n return buildHeaders([{ Authorization: `Bearer ${this.apiKey}` }]);\n }\n stringifyQuery(query) {\n return qs.stringify(query, { arrayFormat: 'brackets' });\n }\n getUserAgent() {\n return `${this.constructor.name}/JS ${VERSION}`;\n }\n defaultIdempotencyKey() {\n return `stainless-node-retry-${uuid4()}`;\n }\n makeStatusError(status, error, message, headers) {\n return Errors.APIError.generate(status, error, message, headers);\n }\n async _callApiKey() {\n const apiKey = this._options.apiKey;\n if (typeof apiKey !== 'function')\n return false;\n let token;\n try {\n token = await apiKey();\n }\n catch (err) {\n if (err instanceof Errors.OpenAIError)\n throw err;\n throw new Errors.OpenAIError(`Failed to get token from 'apiKey' function: ${err.message}`, \n // @ts-ignore\n { cause: err });\n }\n if (typeof token !== 'string' || !token) {\n throw new Errors.OpenAIError(`Expected 'apiKey' function argument to return a string but it returned ${token}`);\n }\n this.apiKey = token;\n return true;\n }\n buildURL(path, query, defaultBaseURL) {\n const baseURL = (!__classPrivateFieldGet(this, _OpenAI_instances, \"m\", _OpenAI_baseURLOverridden).call(this) && defaultBaseURL) || this.baseURL;\n const url = isAbsoluteURL(path) ?\n new URL(path)\n : new URL(baseURL + (baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path));\n const defaultQuery = this.defaultQuery();\n if (!isEmptyObj(defaultQuery)) {\n query = { ...defaultQuery, ...query };\n }\n if (typeof query === 'object' && query && !Array.isArray(query)) {\n url.search = this.stringifyQuery(query);\n }\n return url.toString();\n }\n /**\n * Used as a callback for mutating the given `FinalRequestOptions` object.\n */\n async prepareOptions(options) {\n await this._callApiKey();\n }\n /**\n * Used as a callback for mutating the given `RequestInit` object.\n *\n * This is useful for cases where you want to add certain headers based off of\n * the request properties, e.g. `method` or `url`.\n */\n async prepareRequest(request, { url, options }) { }\n get(path, opts) {\n return this.methodRequest('get', path, opts);\n }\n post(path, opts) {\n return this.methodRequest('post', path, opts);\n }\n patch(path, opts) {\n return this.methodRequest('patch', path, opts);\n }\n put(path, opts) {\n return this.methodRequest('put', path, opts);\n }\n delete(path, opts) {\n return this.methodRequest('delete', path, opts);\n }\n methodRequest(method, path, opts) {\n return this.request(Promise.resolve(opts).then((opts) => {\n return { method, path, ...opts };\n }));\n }\n request(options, remainingRetries = null) {\n return new APIPromise(this, this.makeRequest(options, remainingRetries, undefined));\n }\n async makeRequest(optionsInput, retriesRemaining, retryOfRequestLogID) {\n const options = await optionsInput;\n const maxRetries = options.maxRetries ?? this.maxRetries;\n if (retriesRemaining == null) {\n retriesRemaining = maxRetries;\n }\n await this.prepareOptions(options);\n const { req, url, timeout } = await this.buildRequest(options, {\n retryCount: maxRetries - retriesRemaining,\n });\n await this.prepareRequest(req, { url, options });\n /** Not an API request ID, just for correlating local log entries. */\n const requestLogID = 'log_' + ((Math.random() * (1 << 24)) | 0).toString(16).padStart(6, '0');\n const retryLogStr = retryOfRequestLogID === undefined ? '' : `, retryOf: ${retryOfRequestLogID}`;\n const startTime = Date.now();\n loggerFor(this).debug(`[${requestLogID}] sending request`, formatRequestDetails({\n retryOfRequestLogID,\n method: options.method,\n url,\n options,\n headers: req.headers,\n }));\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n const controller = new AbortController();\n const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError);\n const headersTime = Date.now();\n if (response instanceof globalThis.Error) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n // detect native connection timeout errors\n // deno throws \"TypeError: error sending request for url (https://example/): client error (Connect): tcp connect error: Operation timed out (os error 60): Operation timed out (os error 60)\"\n // undici throws \"TypeError: fetch failed\" with cause \"ConnectTimeoutError: Connect Timeout Error (attempted address: example:443, timeout: 1ms)\"\n // others do not provide enough information to distinguish timeouts from other connection errors\n const isTimeout = isAbortError(response) ||\n /timed? ?out/i.test(String(response) + ('cause' in response ? String(response.cause) : ''));\n if (retriesRemaining) {\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID);\n }\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - error; no more retries left`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (error; no more retries left)`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n if (isTimeout) {\n throw new Errors.APIConnectionTimeoutError();\n }\n throw new Errors.APIConnectionError({ cause: response });\n }\n const specialHeaders = [...response.headers.entries()]\n .filter(([name]) => name === 'x-request-id')\n .map(([name, value]) => ', ' + name + ': ' + JSON.stringify(value))\n .join('');\n const responseInfo = `[${requestLogID}${retryLogStr}${specialHeaders}] ${req.method} ${url} ${response.ok ? 'succeeded' : 'failed'} with status ${response.status} in ${headersTime - startTime}ms`;\n if (!response.ok) {\n const shouldRetry = await this.shouldRetry(response);\n if (retriesRemaining && shouldRetry) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n // We don't need the body of this response.\n await Shims.CancelReadableStream(response.body);\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID, response.headers);\n }\n const retryMessage = shouldRetry ? `error; no more retries left` : `error; not retryable`;\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n const errText = await response.text().catch((err) => castToError(err).message);\n const errJSON = safeJSON(errText);\n const errMessage = errJSON ? undefined : errText;\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n message: errMessage,\n durationMs: Date.now() - startTime,\n }));\n const err = this.makeStatusError(response.status, errJSON, errMessage, response.headers);\n throw err;\n }\n loggerFor(this).info(responseInfo);\n loggerFor(this).debug(`[${requestLogID}] response start`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return { response, options, controller, requestLogID, retryOfRequestLogID, startTime };\n }\n getAPIList(path, Page, opts) {\n return this.requestAPIList(Page, { method: 'get', path, ...opts });\n }\n requestAPIList(Page, options) {\n const request = this.makeRequest(options, null, undefined);\n return new Pagination.PagePromise(this, request, Page);\n }\n async fetchWithTimeout(url, init, ms, controller) {\n const { signal, method, ...options } = init || {};\n if (signal)\n signal.addEventListener('abort', () => controller.abort());\n const timeout = setTimeout(() => controller.abort(), ms);\n const isReadableBody = (globalThis.ReadableStream && options.body instanceof globalThis.ReadableStream) ||\n (typeof options.body === 'object' && options.body !== null && Symbol.asyncIterator in options.body);\n const fetchOptions = {\n signal: controller.signal,\n ...(isReadableBody ? { duplex: 'half' } : {}),\n method: 'GET',\n ...options,\n };\n if (method) {\n // Custom methods like 'patch' need to be uppercased\n // See https://github.com/nodejs/undici/issues/2294\n fetchOptions.method = method.toUpperCase();\n }\n try {\n // use undefined this binding; fetch errors if bound to something else in browser/cloudflare\n return await this.fetch.call(undefined, url, fetchOptions);\n }\n finally {\n clearTimeout(timeout);\n }\n }\n async shouldRetry(response) {\n // Note this is not a standard header.\n const shouldRetryHeader = response.headers.get('x-should-retry');\n // If the server explicitly says whether or not to retry, obey.\n if (shouldRetryHeader === 'true')\n return true;\n if (shouldRetryHeader === 'false')\n return false;\n // Retry on request timeouts.\n if (response.status === 408)\n return true;\n // Retry on lock timeouts.\n if (response.status === 409)\n return true;\n // Retry on rate limits.\n if (response.status === 429)\n return true;\n // Retry internal errors.\n if (response.status >= 500)\n return true;\n return false;\n }\n async retryRequest(options, retriesRemaining, requestLogID, responseHeaders) {\n let timeoutMillis;\n // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it.\n const retryAfterMillisHeader = responseHeaders?.get('retry-after-ms');\n if (retryAfterMillisHeader) {\n const timeoutMs = parseFloat(retryAfterMillisHeader);\n if (!Number.isNaN(timeoutMs)) {\n timeoutMillis = timeoutMs;\n }\n }\n // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n const retryAfterHeader = responseHeaders?.get('retry-after');\n if (retryAfterHeader && !timeoutMillis) {\n const timeoutSeconds = parseFloat(retryAfterHeader);\n if (!Number.isNaN(timeoutSeconds)) {\n timeoutMillis = timeoutSeconds * 1000;\n }\n else {\n timeoutMillis = Date.parse(retryAfterHeader) - Date.now();\n }\n }\n // If the API asks us to wait a certain amount of time (and it's a reasonable amount),\n // just do what it says, but otherwise calculate a default\n if (!(timeoutMillis && 0 <= timeoutMillis && timeoutMillis < 60 * 1000)) {\n const maxRetries = options.maxRetries ?? this.maxRetries;\n timeoutMillis = this.calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries);\n }\n await sleep(timeoutMillis);\n return this.makeRequest(options, retriesRemaining - 1, requestLogID);\n }\n calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries) {\n const initialRetryDelay = 0.5;\n const maxRetryDelay = 8.0;\n const numRetries = maxRetries - retriesRemaining;\n // Apply exponential backoff, but not more than the max.\n const sleepSeconds = Math.min(initialRetryDelay * Math.pow(2, numRetries), maxRetryDelay);\n // Apply some jitter, take up to at most 25 percent of the retry time.\n const jitter = 1 - Math.random() * 0.25;\n return sleepSeconds * jitter * 1000;\n }\n async buildRequest(inputOptions, { retryCount = 0 } = {}) {\n const options = { ...inputOptions };\n const { method, path, query, defaultBaseURL } = options;\n const url = this.buildURL(path, query, defaultBaseURL);\n if ('timeout' in options)\n validatePositiveInteger('timeout', options.timeout);\n options.timeout = options.timeout ?? this.timeout;\n const { bodyHeaders, body } = this.buildBody({ options });\n const reqHeaders = await this.buildHeaders({ options: inputOptions, method, bodyHeaders, retryCount });\n const req = {\n method,\n headers: reqHeaders,\n ...(options.signal && { signal: options.signal }),\n ...(globalThis.ReadableStream &&\n body instanceof globalThis.ReadableStream && { duplex: 'half' }),\n ...(body && { body }),\n ...(this.fetchOptions ?? {}),\n ...(options.fetchOptions ?? {}),\n };\n return { req, url, timeout: options.timeout };\n }\n async buildHeaders({ options, method, bodyHeaders, retryCount, }) {\n let idempotencyHeaders = {};\n if (this.idempotencyHeader && method !== 'get') {\n if (!options.idempotencyKey)\n options.idempotencyKey = this.defaultIdempotencyKey();\n idempotencyHeaders[this.idempotencyHeader] = options.idempotencyKey;\n }\n const headers = buildHeaders([\n idempotencyHeaders,\n {\n Accept: 'application/json',\n 'User-Agent': this.getUserAgent(),\n 'X-Stainless-Retry-Count': String(retryCount),\n ...(options.timeout ? { 'X-Stainless-Timeout': String(Math.trunc(options.timeout / 1000)) } : {}),\n ...getPlatformHeaders(),\n 'OpenAI-Organization': this.organization,\n 'OpenAI-Project': this.project,\n },\n await this.authHeaders(options),\n this._options.defaultHeaders,\n bodyHeaders,\n options.headers,\n ]);\n this.validateHeaders(headers);\n return headers.values;\n }\n buildBody({ options: { body, headers: rawHeaders } }) {\n if (!body) {\n return { bodyHeaders: undefined, body: undefined };\n }\n const headers = buildHeaders([rawHeaders]);\n if (\n // Pass raw type verbatim\n ArrayBuffer.isView(body) ||\n body instanceof ArrayBuffer ||\n body instanceof DataView ||\n (typeof body === 'string' &&\n // Preserve legacy string encoding behavior for now\n headers.values.has('content-type')) ||\n // `Blob` is superset of `File`\n (globalThis.Blob && body instanceof globalThis.Blob) ||\n // `FormData` -> `multipart/form-data`\n body instanceof FormData ||\n // `URLSearchParams` -> `application/x-www-form-urlencoded`\n body instanceof URLSearchParams ||\n // Send chunked stream (each chunk has own `length`)\n (globalThis.ReadableStream && body instanceof globalThis.ReadableStream)) {\n return { bodyHeaders: undefined, body: body };\n }\n else if (typeof body === 'object' &&\n (Symbol.asyncIterator in body ||\n (Symbol.iterator in body && 'next' in body && typeof body.next === 'function'))) {\n return { bodyHeaders: undefined, body: Shims.ReadableStreamFrom(body) };\n }\n else {\n return __classPrivateFieldGet(this, _OpenAI_encoder, \"f\").call(this, { body, headers });\n }\n }\n}\n_a = OpenAI, _OpenAI_encoder = new WeakMap(), _OpenAI_instances = new WeakSet(), _OpenAI_baseURLOverridden = function _OpenAI_baseURLOverridden() {\n return this.baseURL !== 'https://api.openai.com/v1';\n};\nOpenAI.OpenAI = _a;\nOpenAI.DEFAULT_TIMEOUT = 600000; // 10 minutes\nOpenAI.OpenAIError = Errors.OpenAIError;\nOpenAI.APIError = Errors.APIError;\nOpenAI.APIConnectionError = Errors.APIConnectionError;\nOpenAI.APIConnectionTimeoutError = Errors.APIConnectionTimeoutError;\nOpenAI.APIUserAbortError = Errors.APIUserAbortError;\nOpenAI.NotFoundError = Errors.NotFoundError;\nOpenAI.ConflictError = Errors.ConflictError;\nOpenAI.RateLimitError = Errors.RateLimitError;\nOpenAI.BadRequestError = Errors.BadRequestError;\nOpenAI.AuthenticationError = Errors.AuthenticationError;\nOpenAI.InternalServerError = Errors.InternalServerError;\nOpenAI.PermissionDeniedError = Errors.PermissionDeniedError;\nOpenAI.UnprocessableEntityError = Errors.UnprocessableEntityError;\nOpenAI.InvalidWebhookSignatureError = Errors.InvalidWebhookSignatureError;\nOpenAI.toFile = Uploads.toFile;\nOpenAI.Completions = Completions;\nOpenAI.Chat = Chat;\nOpenAI.Embeddings = Embeddings;\nOpenAI.Files = Files;\nOpenAI.Images = Images;\nOpenAI.Audio = Audio;\nOpenAI.Moderations = Moderations;\nOpenAI.Models = Models;\nOpenAI.FineTuning = FineTuning;\nOpenAI.Graders = Graders;\nOpenAI.VectorStores = VectorStores;\nOpenAI.Webhooks = Webhooks;\nOpenAI.Beta = Beta;\nOpenAI.Batches = Batches;\nOpenAI.Uploads = UploadsAPIUploads;\nOpenAI.Responses = Responses;\nOpenAI.Realtime = Realtime;\nOpenAI.Conversations = Conversations;\nOpenAI.Evals = Evals;\nOpenAI.Containers = Containers;\n//# 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\ No newline at end of file diff --git a/extension/icon.png b/extension/icon.png index 9402a78..53f75ad 100644 Binary files a/extension/icon.png and b/extension/icon.png differ diff --git a/extension/manifest.json b/extension/manifest.json index f1589a2..4867eb6 100644 --- a/extension/manifest.json +++ b/extension/manifest.json @@ -1,21 +1,19 @@ { "manifest_version": 3, - "name": "MoodleGPT", - "version": "1.1.5", - "description": "Hidden chat-gpt for your moodle quiz", + "name": "SparkAssist", + "version": "2.0.0", + "description": "An AI study assistant for your quizzes", "permissions": ["storage"], "action": { "default_icon": "icon.png", "default_popup": "./popup/index.html" }, - "icons": { "16": "icon.png", "32": "icon.png", "48": "icon.png", "128": "icon.png" }, - "content_scripts": [ { "matches": ["*://*/**/mod/quiz/attempt.php*", "*://*/mod/quiz/attempt.php*", "file:///*"], diff --git a/extension/popup/index.html b/extension/popup/index.html index 3b2c346..b184518 100644 --- a/extension/popup/index.html +++ b/extension/popup/index.html @@ -2,166 +2,25 @@ - - MoodleGPT + SparkAssist + + + + + - - - -
-
- - icon - -
-

MoodleGPT

-

-
-
- - -
-
- - -
-
- - - - -
-
- - - - - -
- Advanced settings -
- -
- -

Mode:

-
-
-
    -
    • -
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    • -
  • - -
    • -
-
-
- -

Options:

-
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- - -
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- - -
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- - -
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- - -
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- - -
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- - -
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- - -
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- - -
- - -
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{Message}

-
- -
-
- - - See the documentation - - - - Need Help - -
-
+
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extends St{constructor(){super(...arguments),mt.add(this),this._chatCompletions=[],this.messages=[]}_addChatCompletion(e){this._chatCompletions.push(e),this._emit("chatCompletion",e);const t=e.choices[0]?.message;return t&&this._addMessage(t),e}_addMessage(e,t=!0){if("content"in e||(e.content=null),this.messages.push(e),t)if(this._emit("message",e),tt(e)&&e.content)this._emit("functionToolCallResult",e.content);else if(et(e)&&e.tool_calls)for(const t of e.tool_calls)"function"===t.type&&this._emit("functionToolCall",t.function)}async finalChatCompletion(){await this.done();const e=this._chatCompletions[this._chatCompletions.length-1];if(!e)throw new c("stream ended without producing a ChatCompletion");return e}async finalContent(){return await this.done(),o(this,mt,"m",gt).call(this)}async finalMessage(){return await this.done(),o(this,mt,"m",yt).call(this)}async finalFunctionToolCall(){return await this.done(),o(this,mt,"m",wt).call(this)}async finalFunctionToolCallResult(){return 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this._connected(),this._addChatCompletion(ze(r,t))}async _runChatCompletion(e,t,s){for(const e of t.messages)this._addMessage(e,!1);return await this._createChatCompletion(e,t,s)}async _runTools(e,t,s){const n="tool",{tool_choice:r="auto",stream:i,...a}=t,l="string"!=typeof r&&"function"===r.type&&r?.function?.name,{maxChatCompletions:u=At}=s||{},h=t.tools.map((e=>{if(Ve(e)){if(!e.$callback)throw new c("Tool given to `.runTools()` that does not have an associated function");return{type:"function",function:{function:e.$callback,name:e.function.name,description:e.function.description||"",parameters:e.function.parameters,parse:e.$parseRaw,strict:!0}}}return e})),d={};for(const e of h)"function"===e.type&&(d[e.function.name||e.function.function.name]=e.function);const f="tools"in t?h.map((e=>"function"===e.type?{type:"function",function:{name:e.function.name||e.function.function.name,parameters:e.function.parameters,description:e.function.description,strict:e.function.strict}}:e)):void 0;for(const e of t.messages)this._addMessage(e,!1);for(let t=0;tJSON.stringify(e))).join(", ")}. 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To use n>1, please use chat.completions.create() directly.")},xt=function(e){return"string"==typeof e?e:void 0===e?"undefined":JSON.stringify(e)};class Ot extends It{static runTools(e,t,s){const n=new Ot,r={...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"runTools"}};return n._run((()=>n._runTools(e,t,r))),n}_addMessage(e,t=!0){super._addMessage(e,t),et(e)&&e.content&&this._emit("content",e.content)}}const kt=1,Rt=2,Et=4,Pt=8,Ct=16,Tt=32,qt=64,jt=128,Mt=256,Lt=511;class Nt extends Error{}class Dt extends Error{}const Wt=(e,t)=>{const s=e.length;let n=0;const r=e=>{throw new Nt(`${e} at position ${n}`)},o=e=>{throw new Dt(`${e} at position ${n}`)},i=()=>(h(),n>=s&&r("Unexpected end of 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is");try{return JSON.parse(e)}catch(s){if(Rt&t)try{return"."===e[e.length-1]?JSON.parse(e.substring(0,e.lastIndexOf("."))):JSON.parse(e.substring(0,e.lastIndexOf("e")))}catch(e){}o(String(s))}}const i=n;for("-"===e[n]&&n++;e[n]&&!",]}".includes(e[n]);)n++;n!=s||Rt&t||r("Unterminated number literal");try{return JSON.parse(e.substring(i,n))}catch(s){"-"===e.substring(i,n)&&Rt&t&&r("Not sure what '-' is");try{return JSON.parse(e.substring(i,e.lastIndexOf("e")))}catch(e){o(String(e))}}},h=()=>{for(;nfunction(e,t=Lt){if("string"!=typeof e)throw new TypeError("expecting str, got "+typeof e);if(!e.trim())throw new Error(`${e} is empty`);return Wt(e.trim(),t)}(e,Lt^Rt);var Ut,Ft,Xt,Ht,Kt,Jt,Vt,zt,Gt,Qt,Yt,Zt;class es extends It{constructor(e){super(),Ut.add(this),Ft.set(this,void 0),Xt.set(this,void 0),Ht.set(this,void 0),r(this,Ft,e),r(this,Xt,[])}get currentChatCompletionSnapshot(){return o(this,Ht,"f")}static fromReadableStream(e){const t=new es(null);return t._run((()=>t._fromReadableStream(e))),t}static createChatCompletion(e,t,s){const n=new es(t);return n._run((()=>n._runChatCompletion(e,{...t,stream:!0},{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),n}async _createChatCompletion(e,t,s){super._createChatCompletion;const n=s?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),o(this,Ut,"m",Kt).call(this);const r=await e.chat.completions.create({...t,stream:!0},{...s,signal:this.controller.signal});this._connected();for await(const e of r)o(this,Ut,"m",Vt).call(this,e);if(r.controller.signal?.aborted)throw new h;return this._addChatCompletion(o(this,Ut,"m",Qt).call(this))}async _fromReadableStream(e,t){const s=t?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),o(this,Ut,"m",Kt).call(this),this._connected();const n=be.fromReadableStream(e,this.controller);let r;for await(const e of n)r&&r!==e.id&&this._addChatCompletion(o(this,Ut,"m",Qt).call(this)),o(this,Ut,"m",Vt).call(this,e),r=e.id;if(n.controller.signal?.aborted)throw new h;return this._addChatCompletion(o(this,Ut,"m",Qt).call(this))}[(Ft=new WeakMap,Xt=new WeakMap,Ht=new WeakMap,Ut=new WeakSet,Kt=function(){this.ended||r(this,Ht,void 0)},Jt=function(e){let t=o(this,Xt,"f")[e.index];return t||(t={content_done:!1,refusal_done:!1,logprobs_content_done:!1,logprobs_refusal_done:!1,done_tool_calls:new Set,current_tool_call_index:null},o(this,Xt,"f")[e.index]=t,t)},Vt=function(e){if(this.ended)return;const t=o(this,Ut,"m",Zt).call(this,e);this._emit("chunk",e,t);for(const s of e.choices){const e=t.choices[s.index];null!=s.delta.content&&"assistant"===e.message?.role&&e.message?.content&&(this._emit("content",s.delta.content,e.message.content),this._emit("content.delta",{delta:s.delta.content,snapshot:e.message.content,parsed:e.message.parsed})),null!=s.delta.refusal&&"assistant"===e.message?.role&&e.message?.refusal&&this._emit("refusal.delta",{delta:s.delta.refusal,snapshot:e.message.refusal}),null!=s.logprobs?.content&&"assistant"===e.message?.role&&this._emit("logprobs.content.delta",{content:s.logprobs?.content,snapshot:e.logprobs?.content??[]}),null!=s.logprobs?.refusal&&"assistant"===e.message?.role&&this._emit("logprobs.refusal.delta",{refusal:s.logprobs?.refusal,snapshot:e.logprobs?.refusal??[]});const n=o(this,Ut,"m",Jt).call(this,e);e.finish_reason&&(o(this,Ut,"m",Gt).call(this,e),null!=n.current_tool_call_index&&o(this,Ut,"m",zt).call(this,e,n.current_tool_call_index));for(const t of s.delta.tool_calls??[])n.current_tool_call_index!==t.index&&(o(this,Ut,"m",Gt).call(this,e),null!=n.current_tool_call_index&&o(this,Ut,"m",zt).call(this,e,n.current_tool_call_index)),n.current_tool_call_index=t.index;for(const t of s.delta.tool_calls??[]){const s=e.message.tool_calls?.[t.index];s?.type&&("function"===s?.type&&this._emit("tool_calls.function.arguments.delta",{name:s.function?.name,index:t.index,arguments:s.function.arguments,parsed_arguments:s.function.parsed_arguments,arguments_delta:t.function?.arguments??""}))}}},zt=function(e,t){if(o(this,Ut,"m",Jt).call(this,e).done_tool_calls.has(t))return;const s=e.message.tool_calls?.[t];if(!s)throw new Error("no tool call snapshot");if(!s.type)throw new Error("tool call snapshot missing `type`");if("function"===s.type){const e=o(this,Ft,"f")?.tools?.find((e=>Ke(e)&&e.function.name===s.function.name));this._emit("tool_calls.function.arguments.done",{name:s.function.name,index:t,arguments:s.function.arguments,parsed_arguments:Ve(e)?e.$parseRaw(s.function.arguments):e?.function.strict?JSON.parse(s.function.arguments):null})}else s.type},Gt=function(e){const t=o(this,Ut,"m",Jt).call(this,e);if(e.message.content&&!t.content_done){t.content_done=!0;const s=o(this,Ut,"m",Yt).call(this);this._emit("content.done",{content:e.message.content,parsed:s?s.$parseRaw(e.message.content):null})}e.message.refusal&&!t.refusal_done&&(t.refusal_done=!0,this._emit("refusal.done",{refusal:e.message.refusal})),e.logprobs?.content&&!t.logprobs_content_done&&(t.logprobs_content_done=!0,this._emit("logprobs.content.done",{content:e.logprobs.content})),e.logprobs?.refusal&&!t.logprobs_refusal_done&&(t.logprobs_refusal_done=!0,this._emit("logprobs.refusal.done",{refusal:e.logprobs.refusal}))},Qt=function(){if(this.ended)throw new c("stream has ended, this shouldn't happen");const e=o(this,Ht,"f");if(!e)throw new c("request ended without sending any chunks");return r(this,Ht,void 0),r(this,Xt,[]),function(e,t){const{id:s,choices:n,created:r,model:o,system_fingerprint:i,...a}=e,l={...a,id:s,choices:n.map((({message:t,finish_reason:s,index:n,logprobs:r,...o})=>{if(!s)throw new c(`missing finish_reason for choice ${n}`);const{content:i=null,function_call:a,tool_calls:l,...u}=t,h=t.role;if(!h)throw new c(`missing role for choice ${n}`);if(a){const{arguments:e,name:l}=a;if(null==e)throw new c(`missing function_call.arguments for choice ${n}`);if(!l)throw new c(`missing function_call.name for choice ${n}`);return{...o,message:{content:i,function_call:{arguments:e,name:l},role:h,refusal:t.refusal??null},finish_reason:s,index:n,logprobs:r}}return l?{...o,index:n,finish_reason:s,logprobs:r,message:{...u,role:h,content:i,refusal:t.refusal??null,tool_calls:l.map(((t,s)=>{const{function:r,type:o,id:i,...a}=t,{arguments:l,name:u,...h}=r||{};if(null==i)throw new c(`missing choices[${n}].tool_calls[${s}].id\n${ts(e)}`);if(null==o)throw new c(`missing choices[${n}].tool_calls[${s}].type\n${ts(e)}`);if(null==u)throw new c(`missing choices[${n}].tool_calls[${s}].function.name\n${ts(e)}`);if(null==l)throw new c(`missing choices[${n}].tool_calls[${s}].function.arguments\n${ts(e)}`);return{...a,id:i,type:o,function:{...h,name:u,arguments:l}}}))}}:{...o,message:{...u,content:i,role:h,refusal:t.refusal??null},finish_reason:s,index:n,logprobs:r}})),created:r,model:o,object:"chat.completion",...i?{system_fingerprint:i}:{}};return function(e,t){return t&&Ye(t)?ze(e,t):{...e,choices:e.choices.map((e=>(Ze(e.message.tool_calls),{...e,message:{...e.message,parsed:null,...e.message.tool_calls?{tool_calls:e.message.tool_calls}:void 0}})))}}(l,t)}(e,o(this,Ft,"f"))},Yt=function(){const e=o(this,Ft,"f")?.response_format;return Je(e)?e:null},Zt=function(e){var t,s,n,i;let a=o(this,Ht,"f");const{choices:l,...c}=e;a?Object.assign(a,c):a=r(this,Ht,{...c,choices:[]});for(const{delta:r,finish_reason:l,index:c,logprobs:u=null,...h}of e.choices){let e=a.choices[c];if(e||(e=a.choices[c]={finish_reason:l,index:c,message:{},logprobs:u,...h}),u)if(e.logprobs){const{content:n,refusal:r,...o}=u;Object.assign(e.logprobs,o),n&&((t=e.logprobs).content??(t.content=[]),e.logprobs.content.push(...n)),r&&((s=e.logprobs).refusal??(s.refusal=[]),e.logprobs.refusal.push(...r))}else e.logprobs=Object.assign({},u);if(l&&(e.finish_reason=l,o(this,Ft,"f")&&Ye(o(this,Ft,"f")))){if("length"===l)throw new x;if("content_filter"===l)throw new S}if(Object.assign(e,h),!r)continue;const{content:d,refusal:f,function_call:p,role:m,tool_calls:g,...y}=r;if(Object.assign(e.message,y),f&&(e.message.refusal=(e.message.refusal||"")+f),m&&(e.message.role=m),p&&(e.message.function_call?(p.name&&(e.message.function_call.name=p.name),p.arguments&&((n=e.message.function_call).arguments??(n.arguments=""),e.message.function_call.arguments+=p.arguments)):e.message.function_call=p),d&&(e.message.content=(e.message.content||"")+d,!e.message.refusal&&o(this,Ut,"m",Yt).call(this)&&(e.message.parsed=Bt(e.message.content))),g){e.message.tool_calls||(e.message.tool_calls=[]);for(const{index:t,id:s,type:n,function:r,...a}of g){const l=(i=e.message.tool_calls)[t]??(i[t]={});Object.assign(l,a),s&&(l.id=s),n&&(l.type=n),r&&(l.function??(l.function={name:r.name??"",arguments:""})),r?.name&&(l.function.name=r.name),r?.arguments&&(l.function.arguments+=r.arguments,Qe(o(this,Ft,"f"),l)&&(l.function.parsed_arguments=Bt(l.function.arguments)))}}}return a},Symbol.asyncIterator)](){const e=[],t=[];let s=!1;return this.on("chunk",(s=>{const n=t.shift();n?n.resolve(s):e.push(s)})),this.on("end",(()=>{s=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),this.on("error",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),{next:async()=>{if(!e.length)return s?{value:void 0,done:!0}:new Promise(((e,s)=>t.push({resolve:e,reject:s}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new be(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function ts(e){return JSON.stringify(e)}class ss extends es{static fromReadableStream(e){const t=new ss(null);return t._run((()=>t._fromReadableStream(e))),t}static runTools(e,t,s){const n=new ss(t),r={...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"runTools"}};return n._run((()=>n._runTools(e,t,r))),n}}let ns=class extends We{constructor(){super(...arguments),this.messages=new He(this._client)}create(e,t){return this._client.post("/chat/completions",{body:e,...t,stream:e.stream??!1})}retrieve(e,t){return this._client.get(Xe`/chat/completions/${e}`,t)}update(e,t,s){return this._client.post(Xe`/chat/completions/${e}`,{body:t,...s})}list(e={},t){return this._client.getAPIList("/chat/completions",ke,{query:e,...t})}delete(e,t){return this._client.delete(Xe`/chat/completions/${e}`,t)}parse(e,t){return function(e){for(const t of e??[]){if("function"!==t.type)throw new c(`Currently only \`function\` tool types support auto-parsing; Received \`${t.type}\``);if(!0!==t.function.strict)throw new c(`The \`${t.function.name}\` tool is not marked with \`strict: true\`. Only strict function tools can be auto-parsed`)}}(e.tools),this._client.chat.completions.create(e,{...t,headers:{...t?.headers,"X-Stainless-Helper-Method":"chat.completions.parse"}})._thenUnwrap((t=>ze(t,e)))}runTools(e,t){return e.stream?ss.runTools(this._client,e,t):Ot.runTools(this._client,e,t)}stream(e,t){return es.createChatCompletion(this._client,e,t)}};ns.Messages=He;class rs extends We{constructor(){super(...arguments),this.completions=new ns(this._client)}}rs.Completions=ns;const os=Symbol("brand.privateNullableHeaders");function*is(e){if(!e)return;if(os in e){const{values:t,nulls:s}=e;yield*t.entries();for(const e of s)yield[e,null];return}let t,s=!1;e instanceof Headers?t=e.entries():O(e)?t=e:(s=!0,t=Object.entries(e??{}));for(let e of t){const t=e[0];if("string"!=typeof t)throw new TypeError("expected header name to be a string");const n=O(e[1])?e[1]:[e[1]];let r=!1;for(const e of n)void 0!==e&&(s&&!r&&(r=!0,yield[t,null]),yield[t,e])}}const as=e=>{const t=new Headers,s=new Set;for(const n of e){const e=new Set;for(const[r,o]of is(n)){const n=r.toLowerCase();e.has(n)||(t.delete(r),e.add(n)),null===o?(t.delete(r),s.add(n)):(t.append(r,o),s.delete(n))}}return{[os]:!0,values:t,nulls:s}};class ls extends We{create(e,t){return this._client.post("/audio/speech",{body:e,...t,headers:as([{Accept:"application/octet-stream"},t?.headers]),__binaryResponse:!0})}}class cs extends We{create(e,t){return this._client.post("/audio/transcriptions",qe({body:e,...t,stream:e.stream??!1,__metadata:{model:e.model}},this._client))}}class us extends We{create(e,t){return this._client.post("/audio/translations",qe({body:e,...t,__metadata:{model:e.model}},this._client))}}class hs extends We{constructor(){super(...arguments),this.transcriptions=new cs(this._client),this.translations=new us(this._client),this.speech=new ls(this._client)}}hs.Transcriptions=cs,hs.Translations=us,hs.Speech=ls;class ds extends We{create(e,t){return this._client.post("/batches",{body:e,...t})}retrieve(e,t){return this._client.get(Xe`/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/batches",ke,{query:e,...t})}cancel(e,t){return this._client.post(Xe`/batches/${e}/cancel`,t)}}class fs extends We{create(e,t){return this._client.post("/assistants",{body:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(Xe`/assistants/${e}`,{...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,s){return this._client.post(Xe`/assistants/${e}`,{body:t,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e={},t){return this._client.getAPIList("/assistants",ke,{query:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}delete(e,t){return this._client.delete(Xe`/assistants/${e}`,{...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class ps extends We{create(e,t){return this._client.post("/realtime/sessions",{body:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class ms extends We{create(e,t){return this._client.post("/realtime/transcription_sessions",{body:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}let gs=class extends We{constructor(){super(...arguments),this.sessions=new ps(this._client),this.transcriptionSessions=new ms(this._client)}};gs.Sessions=ps,gs.TranscriptionSessions=ms;class ys extends We{create(e,t,s){return this._client.post(Xe`/threads/${e}/messages`,{body:t,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}retrieve(e,t,s){const{thread_id:n}=t;return this._client.get(Xe`/threads/${n}/messages/${e}`,{...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}update(e,t,s){const{thread_id:n,...r}=t;return this._client.post(Xe`/threads/${n}/messages/${e}`,{body:r,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t={},s){return this._client.getAPIList(Xe`/threads/${e}/messages`,ke,{query:t,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}delete(e,t,s){const{thread_id:n}=t;return this._client.delete(Xe`/threads/${n}/messages/${e}`,{...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}}class ws extends We{retrieve(e,t,s){const{thread_id:n,run_id:r,...o}=t;return this._client.get(Xe`/threads/${n}/runs/${r}/steps/${e}`,{query:o,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t,s){const{thread_id:n,...r}=t;return this._client.getAPIList(Xe`/threads/${n}/runs/${e}/steps`,ke,{query:r,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}}const _s=e=>void 0!==globalThis.process?globalThis.process.env?.[e]?.trim()??void 0:void 0!==globalThis.Deno?globalThis.Deno.env?.get?.(e)?.trim():void 0;var bs,vs,xs,Ss,$s,As,Is,Os,ks,Rs,Es,Ps,Cs,Ts,qs,js,Ms,Ls,Ns,Ds,Ws,Bs,Us;class Fs extends St{constructor(){super(...arguments),bs.add(this),xs.set(this,[]),Ss.set(this,{}),$s.set(this,{}),As.set(this,void 0),Is.set(this,void 0),Os.set(this,void 0),ks.set(this,void 0),Rs.set(this,void 0),Es.set(this,void 0),Ps.set(this,void 0),Cs.set(this,void 0),Ts.set(this,void 0)}[(xs=new WeakMap,Ss=new WeakMap,$s=new WeakMap,As=new WeakMap,Is=new WeakMap,Os=new WeakMap,ks=new WeakMap,Rs=new WeakMap,Es=new WeakMap,Ps=new WeakMap,Cs=new WeakMap,Ts=new WeakMap,bs=new WeakSet,Symbol.asyncIterator)](){const e=[],t=[];let s=!1;return this.on("event",(s=>{const n=t.shift();n?n.resolve(s):e.push(s)})),this.on("end",(()=>{s=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),this.on("error",(e=>{s=!0;for(const s of t)s.reject(e);t.length=0})),{next:async()=>{if(!e.length)return s?{value:void 0,done:!0}:new Promise(((e,s)=>t.push({resolve:e,reject:s}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}static fromReadableStream(e){const t=new vs;return t._run((()=>t._fromReadableStream(e))),t}async _fromReadableStream(e,t){const s=t?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),this._connected();const n=be.fromReadableStream(e,this.controller);for await(const e of n)o(this,bs,"m",qs).call(this,e);if(n.controller.signal?.aborted)throw new h;return this._addRun(o(this,bs,"m",js).call(this))}toReadableStream(){return new be(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}static createToolAssistantStream(e,t,s,n){const r=new vs;return r._run((()=>r._runToolAssistantStream(e,t,s,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}async _createToolAssistantStream(e,t,s,n){const r=n?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const i={...s,stream:!0},a=await e.submitToolOutputs(t,i,{...n,signal:this.controller.signal});this._connected();for await(const e of a)o(this,bs,"m",qs).call(this,e);if(a.controller.signal?.aborted)throw new h;return this._addRun(o(this,bs,"m",js).call(this))}static createThreadAssistantStream(e,t,s){const n=new vs;return n._run((()=>n._threadAssistantStream(e,t,{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),n}static createAssistantStream(e,t,s,n){const r=new vs;return r._run((()=>r._runAssistantStream(e,t,s,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}currentEvent(){return o(this,Ps,"f")}currentRun(){return o(this,Cs,"f")}currentMessageSnapshot(){return o(this,As,"f")}currentRunStepSnapshot(){return o(this,Ts,"f")}async finalRunSteps(){return await this.done(),Object.values(o(this,Ss,"f"))}async finalMessages(){return await 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accumulateDelta(e,t){for(const[s,n]of Object.entries(t)){if(!e.hasOwnProperty(s)){e[s]=n;continue}let t=e[s];if(null!=t)if("index"!==s&&"type"!==s){if("string"==typeof t&&"string"==typeof n)t+=n;else if("number"==typeof t&&"number"==typeof n)t+=n;else{if(!R(t)||!R(n)){if(Array.isArray(t)&&Array.isArray(n)){if(t.every((e=>"string"==typeof e||"number"==typeof e))){t.push(...n);continue}for(const e of n){if(!R(e))throw new Error(`Expected array delta entry to be an object but got: ${e}`);const s=e.index;if(null==s)throw console.error(e),new Error("Expected array delta entry to have an `index` property");if("number"!=typeof s)throw new Error(`Expected array delta entry \`index\` property to be a number but got ${s}`);const n=t[s];null==n?t.push(e):t[s]=this.accumulateDelta(n,e)}continue}throw Error(`Unhandled record type: ${s}, deltaValue: ${n}, accValue: ${t}`)}t=this.accumulateDelta(t,n)}e[s]=t}else e[s]=n;else e[s]=n}return e}_addRun(e){return e}async 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e.arrayBuffer;async function Gt(e){let t=[];if("string"==typeof e||ArrayBuffer.isView(e)||e instanceof ArrayBuffer)t.push(e);else if(zt(e))t.push(e instanceof Blob?e:await e.arrayBuffer());else{if(!Ht(e)){const t=e?.constructor?.name;throw new Error(`Unexpected data type: ${typeof e}${t?`; constructor: ${t}`:""}${function(e){if("object"!=typeof e||null===e)return"";const t=Object.getOwnPropertyNames(e);return`; props: [${t.map((e=>`"${e}"`)).join(", ")}]`}(e)}`)}for await(const n of e)t.push(...await Gt(n))}return t}class Qt{constructor(e){this._client=e}}function Yt(e){return e.replace(/[^A-Za-z0-9\-._~!$&'()*+,;=:@]+/g,encodeURIComponent)}const Zt=Object.freeze(Object.create(null)),en=(e=Yt)=>function(t,...n){if(1===t.length)return t[0];let s=!1;const r=[],o=t.reduce(((t,o,i)=>{/[?#]/.test(o)&&(s=!0);const a=n[i];let l=(s?encodeURIComponent:e)(""+a);return i!==n.length&&(null==a||"object"==typeof 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0!==e.function}function rn(e){return"auto-parseable-response-format"===e?.$brand}function on(e){return"auto-parseable-tool"===e?.$brand}function an(e,t){const n=e.choices.map((e=>{if("length"===e.finish_reason)throw new Te;if("content_filter"===e.finish_reason)throw new je;return dn(e.message.tool_calls),{...e,message:{...e.message,...e.message.tool_calls?{tool_calls:e.message.tool_calls?.map((e=>function(e,t){const n=e.tools?.find((e=>sn(e)&&e.function?.name===t.function.name));return{...t,function:{...t.function,parsed_arguments:on(n)?n.$parseRaw(t.function.arguments):n?.function.strict?JSON.parse(t.function.arguments):null}}}(t,e)))??void 0}:void 0,parsed:e.message.content&&!e.message.refusal?ln(t,e.message.content):null}}}));return{...e,choices:n}}function ln(e,t){if("json_schema"!==e.response_format?.type)return null;if("json_schema"===e.response_format?.type){if("$parseRaw"in e.response_format){return e.response_format.$parseRaw(t)}return JSON.parse(t)}return null}function cn(e,t){if(!e||!("tools"in e)||!e.tools)return!1;const n=e.tools?.find((e=>sn(e)&&e.function?.name===t.function.name));return sn(n)&&(on(n)||n?.function.strict||!1)}function un(e){return!!rn(e.response_format)||(e.tools?.some((e=>on(e)||"function"===e.type&&!0===e.function.strict))??!1)}function dn(e){for(const t of e||[])if("function"!==t.type)throw new we(`Currently only \`function\` tool calls are supported; Received \`${t.type}\``)}const hn=e=>"assistant"===e?.role,pn=e=>"tool"===e?.role;var fn,_n,mn,gn,yn,bn,wn,vn,xn,Sn,kn,$n,An,In,On,Rn,Pn,Cn,En,Tn,jn;class Mn{constructor(){fn.add(this),this.controller=new AbortController,_n.set(this,void 0),mn.set(this,(()=>{})),gn.set(this,(()=>{})),yn.set(this,void 0),bn.set(this,(()=>{})),wn.set(this,(()=>{})),vn.set(this,{}),xn.set(this,!1),Sn.set(this,!1),kn.set(this,!1),$n.set(this,!1),_e(this,_n,new Promise(((e,t)=>{_e(this,mn,e),_e(this,gn,t)}))),_e(this,yn,new Promise(((e,t)=>{_e(this,bn,e),_e(this,wn,t)}))),me(this,_n,"f").catch((()=>{})),me(this,yn,"f").catch((()=>{}))}_run(e){setTimeout((()=>{e().then((()=>{this._emitFinal(),this._emit("end")}),me(this,fn,"m",An).bind(this))}),0)}_connected(){this.ended||(me(this,mn,"f").call(this),this._emit("connect"))}get ended(){return me(this,xn,"f")}get errored(){return me(this,Sn,"f")}get aborted(){return me(this,kn,"f")}abort(){this.controller.abort()}on(e,t){return(me(this,vn,"f")[e]||(me(this,vn,"f")[e]=[])).push({listener:t}),this}off(e,t){const n=me(this,vn,"f")[e];if(!n)return this;const s=n.findIndex((e=>e.listener===t));return s>=0&&n.splice(s,1),this}once(e,t){return(me(this,vn,"f")[e]||(me(this,vn,"f")[e]=[])).push({listener:t,once:!0}),this}emitted(e){return new Promise(((t,n)=>{_e(this,$n,!0),"error"!==e&&this.once("error",n),this.once(e,t)}))}async done(){_e(this,$n,!0),await me(this,yn,"f")}_emit(e,...t){if(me(this,xn,"f"))return;"end"===e&&(_e(this,xn,!0),me(this,bn,"f").call(this));const n=me(this,vn,"f")[e];if(n&&(me(this,vn,"f")[e]=n.filter((e=>!e.once)),n.forEach((({listener:e})=>e(...t)))),"abort"===e){const e=t[0];return me(this,$n,"f")||n?.length||Promise.reject(e),me(this,gn,"f").call(this,e),me(this,wn,"f").call(this,e),void this._emit("end")}if("error"===e){const e=t[0];me(this,$n,"f")||n?.length||Promise.reject(e),me(this,gn,"f").call(this,e),me(this,wn,"f").call(this,e),this._emit("end")}}_emitFinal(){}}function Nn(e){return"function"==typeof e.parse}_n=new WeakMap,mn=new WeakMap,gn=new WeakMap,yn=new WeakMap,bn=new WeakMap,wn=new WeakMap,vn=new WeakMap,xn=new WeakMap,Sn=new WeakMap,kn=new WeakMap,$n=new WeakMap,fn=new WeakSet,An=function(e){if(_e(this,Sn,!0),e instanceof Error&&"AbortError"===e.name&&(e=new xe),e instanceof xe)return _e(this,kn,!0),this._emit("abort",e);if(e instanceof we)return this._emit("error",e);if(e instanceof Error){const t=new we(e.message);return t.cause=e,this._emit("error",t)}return this._emit("error",new we(String(e)))};const Ln=10;class Dn extends Mn{constructor(){super(...arguments),In.add(this),this._chatCompletions=[],this.messages=[]}_addChatCompletion(e){this._chatCompletions.push(e),this._emit("chatCompletion",e);const t=e.choices[0]?.message;return t&&this._addMessage(t),e}_addMessage(e,t=!0){if("content"in e||(e.content=null),this.messages.push(e),t)if(this._emit("message",e),pn(e)&&e.content)this._emit("functionToolCallResult",e.content);else if(hn(e)&&e.tool_calls)for(const t of e.tool_calls)"function"===t.type&&this._emit("functionToolCall",t.function)}async finalChatCompletion(){await this.done();const e=this._chatCompletions[this._chatCompletions.length-1];if(!e)throw new we("stream ended without producing a ChatCompletion");return e}async finalContent(){return await this.done(),me(this,In,"m",On).call(this)}async finalMessage(){return await this.done(),me(this,In,"m",Rn).call(this)}async finalFunctionToolCall(){return await this.done(),me(this,In,"m",Pn).call(this)}async finalFunctionToolCallResult(){return await this.done(),me(this,In,"m",Cn).call(this)}async totalUsage(){return await this.done(),me(this,In,"m",En).call(this)}allChatCompletions(){return[...this._chatCompletions]}_emitFinal(){const e=this._chatCompletions[this._chatCompletions.length-1];e&&this._emit("finalChatCompletion",e);const t=me(this,In,"m",Rn).call(this);t&&this._emit("finalMessage",t);const n=me(this,In,"m",On).call(this);n&&this._emit("finalContent",n);const s=me(this,In,"m",Pn).call(this);s&&this._emit("finalFunctionToolCall",s);const r=me(this,In,"m",Cn).call(this);null!=r&&this._emit("finalFunctionToolCallResult",r),this._chatCompletions.some((e=>e.usage))&&this._emit("totalUsage",me(this,In,"m",En).call(this))}async _createChatCompletion(e,t,n){const s=n?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),me(this,In,"m",Tn).call(this,t);const r=await e.chat.completions.create({...t,stream:!1},{...n,signal:this.controller.signal});return this._connected(),this._addChatCompletion(an(r,t))}async _runChatCompletion(e,t,n){for(const e of t.messages)this._addMessage(e,!1);return await this._createChatCompletion(e,t,n)}async _runTools(e,t,n){const s="tool",{tool_choice:r="auto",stream:o,...i}=t,a="string"!=typeof r&&"function"===r.type&&r?.function?.name,{maxChatCompletions:l=Ln}=n||{},c=t.tools.map((e=>{if(on(e)){if(!e.$callback)throw new we("Tool given to `.runTools()` that does not have an associated function");return{type:"function",function:{function:e.$callback,name:e.function.name,description:e.function.description||"",parameters:e.function.parameters,parse:e.$parseRaw,strict:!0}}}return e})),u={};for(const e of c)"function"===e.type&&(u[e.function.name||e.function.function.name]=e.function);const d="tools"in t?c.map((e=>"function"===e.type?{type:"function",function:{name:e.function.name||e.function.function.name,parameters:e.function.parameters,description:e.function.description,strict:e.function.strict}}:e)):void 0;for(const e of t.messages)this._addMessage(e,!1);for(let t=0;tJSON.stringify(e))).join(", ")}. Please try again`;this._addMessage({role:s,tool_call_id:t,content:e});continue}if(a&&a!==n){const e=`Invalid tool_call: ${JSON.stringify(n)}. ${JSON.stringify(a)} requested. 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To use n>1, please use chat.completions.create() directly.")},jn=function(e){return"string"==typeof e?e:void 0===e?"undefined":JSON.stringify(e)};class qn extends Dn{static runTools(e,t,n){const s=new qn,r={...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"runTools"}};return s._run((()=>s._runTools(e,t,r))),s}_addMessage(e,t=!0){super._addMessage(e,t),hn(e)&&e.content&&this._emit("content",e.content)}}const Wn=1,Bn=2,Un=4,Fn=8,Hn=16,Xn=32,Kn=64,Jn=128,Vn=256,zn=511;class Gn extends Error{}class Qn extends Error{}const Yn=(e,t)=>{const n=e.length;let s=0;const r=e=>{throw new Gn(`${e} at position ${s}`)},o=e=>{throw new Qn(`${e} at position ${s}`)},i=()=>(d(),s>=n&&r("Unexpected end of input"),'"'===e[s]?a():"{"===e[s]?l():"["===e[s]?c():"null"===e.substring(s,s+4)||Hn&t&&n-s<4&&"null".startsWith(e.substring(s))?(s+=4,null):"true"===e.substring(s,s+4)||Xn&t&&n-s<4&&"true".startsWith(e.substring(s))?(s+=4,!0):"false"===e.substring(s,s+5)||Xn&t&&n-s<5&&"false".startsWith(e.substring(s))?(s+=5,!1):"Infinity"===e.substring(s,s+8)||Jn&t&&n-s<8&&"Infinity".startsWith(e.substring(s))?(s+=8,1/0):"-Infinity"===e.substring(s,s+9)||Vn&t&&1{const i=s;let a=!1;for(s++;s{s++,d();const o={};try{for(;"}"!==e[s];){if(d(),s>=n&&Fn&t)return o;const r=a();d(),s++;try{const e=i();Object.defineProperty(o,r,{value:e,writable:!0,enumerable:!0,configurable:!0})}catch(e){if(Fn&t)return o;throw e}d(),","===e[s]&&s++}}catch(e){if(Fn&t)return o;r("Expected '}' at end of object")}return s++,o},c=()=>{s++;const n=[];try{for(;"]"!==e[s];)n.push(i()),d(),","===e[s]&&s++}catch(e){if(Un&t)return n;r("Expected ']' at end of array")}return s++,n},u=()=>{if(0===s){"-"===e&&Bn&t&&r("Not sure what '-' is");try{return JSON.parse(e)}catch(n){if(Bn&t)try{return"."===e[e.length-1]?JSON.parse(e.substring(0,e.lastIndexOf("."))):JSON.parse(e.substring(0,e.lastIndexOf("e")))}catch(e){}o(String(n))}}const i=s;for("-"===e[s]&&s++;e[s]&&!",]}".includes(e[s]);)s++;s!=n||Bn&t||r("Unterminated number literal");try{return JSON.parse(e.substring(i,s))}catch(n){"-"===e.substring(i,s)&&Bn&t&&r("Not sure what '-' is");try{return JSON.parse(e.substring(i,e.lastIndexOf("e")))}catch(e){o(String(e))}}},d=()=>{for(;sfunction(e,t=zn){if("string"!=typeof e)throw new TypeError("expecting str, got "+typeof e);if(!e.trim())throw new Error(`${e} is empty`);return Yn(e.trim(),t)}(e,zn^Bn);var es,ts,ns,ss,rs,os,is,as,ls,cs,us,ds;class hs extends Dn{constructor(e){super(),es.add(this),ts.set(this,void 0),ns.set(this,void 0),ss.set(this,void 0),_e(this,ts,e),_e(this,ns,[])}get currentChatCompletionSnapshot(){return me(this,ss,"f")}static fromReadableStream(e){const t=new hs(null);return t._run((()=>t._fromReadableStream(e))),t}static createChatCompletion(e,t,n){const s=new hs(t);return s._run((()=>s._runChatCompletion(e,{...t,stream:!0},{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),s}async _createChatCompletion(e,t,n){super._createChatCompletion;const s=n?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),me(this,es,"m",rs).call(this);const r=await e.chat.completions.create({...t,stream:!0},{...n,signal:this.controller.signal});this._connected();for await(const e of r)me(this,es,"m",is).call(this,e);if(r.controller.signal?.aborted)throw new xe;return this._addChatCompletion(me(this,es,"m",cs).call(this))}async _fromReadableStream(e,t){const n=t?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),me(this,es,"m",rs).call(this),this._connected();const s=Ct.fromReadableStream(e,this.controller);let r;for await(const e of s)r&&r!==e.id&&this._addChatCompletion(me(this,es,"m",cs).call(this)),me(this,es,"m",is).call(this,e),r=e.id;if(s.controller.signal?.aborted)throw new xe;return this._addChatCompletion(me(this,es,"m",cs).call(this))}[(ts=new WeakMap,ns=new WeakMap,ss=new WeakMap,es=new WeakSet,rs=function(){this.ended||_e(this,ss,void 0)},os=function(e){let t=me(this,ns,"f")[e.index];return t||(t={content_done:!1,refusal_done:!1,logprobs_content_done:!1,logprobs_refusal_done:!1,done_tool_calls:new Set,current_tool_call_index:null},me(this,ns,"f")[e.index]=t,t)},is=function(e){if(this.ended)return;const t=me(this,es,"m",ds).call(this,e);this._emit("chunk",e,t);for(const n of e.choices){const e=t.choices[n.index];null!=n.delta.content&&"assistant"===e.message?.role&&e.message?.content&&(this._emit("content",n.delta.content,e.message.content),this._emit("content.delta",{delta:n.delta.content,snapshot:e.message.content,parsed:e.message.parsed})),null!=n.delta.refusal&&"assistant"===e.message?.role&&e.message?.refusal&&this._emit("refusal.delta",{delta:n.delta.refusal,snapshot:e.message.refusal}),null!=n.logprobs?.content&&"assistant"===e.message?.role&&this._emit("logprobs.content.delta",{content:n.logprobs?.content,snapshot:e.logprobs?.content??[]}),null!=n.logprobs?.refusal&&"assistant"===e.message?.role&&this._emit("logprobs.refusal.delta",{refusal:n.logprobs?.refusal,snapshot:e.logprobs?.refusal??[]});const s=me(this,es,"m",os).call(this,e);e.finish_reason&&(me(this,es,"m",ls).call(this,e),null!=s.current_tool_call_index&&me(this,es,"m",as).call(this,e,s.current_tool_call_index));for(const t of n.delta.tool_calls??[])s.current_tool_call_index!==t.index&&(me(this,es,"m",ls).call(this,e),null!=s.current_tool_call_index&&me(this,es,"m",as).call(this,e,s.current_tool_call_index)),s.current_tool_call_index=t.index;for(const t of n.delta.tool_calls??[]){const n=e.message.tool_calls?.[t.index];n?.type&&("function"===n?.type&&this._emit("tool_calls.function.arguments.delta",{name:n.function?.name,index:t.index,arguments:n.function.arguments,parsed_arguments:n.function.parsed_arguments,arguments_delta:t.function?.arguments??""}))}}},as=function(e,t){if(me(this,es,"m",os).call(this,e).done_tool_calls.has(t))return;const n=e.message.tool_calls?.[t];if(!n)throw new Error("no tool call snapshot");if(!n.type)throw new Error("tool call snapshot missing `type`");if("function"===n.type){const e=me(this,ts,"f")?.tools?.find((e=>sn(e)&&e.function.name===n.function.name));this._emit("tool_calls.function.arguments.done",{name:n.function.name,index:t,arguments:n.function.arguments,parsed_arguments:on(e)?e.$parseRaw(n.function.arguments):e?.function.strict?JSON.parse(n.function.arguments):null})}else n.type},ls=function(e){const t=me(this,es,"m",os).call(this,e);if(e.message.content&&!t.content_done){t.content_done=!0;const n=me(this,es,"m",us).call(this);this._emit("content.done",{content:e.message.content,parsed:n?n.$parseRaw(e.message.content):null})}e.message.refusal&&!t.refusal_done&&(t.refusal_done=!0,this._emit("refusal.done",{refusal:e.message.refusal})),e.logprobs?.content&&!t.logprobs_content_done&&(t.logprobs_content_done=!0,this._emit("logprobs.content.done",{content:e.logprobs.content})),e.logprobs?.refusal&&!t.logprobs_refusal_done&&(t.logprobs_refusal_done=!0,this._emit("logprobs.refusal.done",{refusal:e.logprobs.refusal}))},cs=function(){if(this.ended)throw new we("stream has ended, this shouldn't happen");const e=me(this,ss,"f");if(!e)throw new we("request ended without sending any chunks");return _e(this,ss,void 0),_e(this,ns,[]),function(e,t){const{id:n,choices:s,created:r,model:o,system_fingerprint:i,...a}=e,l={...a,id:n,choices:s.map((({message:t,finish_reason:n,index:s,logprobs:r,...o})=>{if(!n)throw new we(`missing finish_reason for choice ${s}`);const{content:i=null,function_call:a,tool_calls:l,...c}=t,u=t.role;if(!u)throw new we(`missing role for choice ${s}`);if(a){const{arguments:e,name:l}=a;if(null==e)throw new we(`missing function_call.arguments for choice ${s}`);if(!l)throw new we(`missing function_call.name for choice ${s}`);return{...o,message:{content:i,function_call:{arguments:e,name:l},role:u,refusal:t.refusal??null},finish_reason:n,index:s,logprobs:r}}return l?{...o,index:s,finish_reason:n,logprobs:r,message:{...c,role:u,content:i,refusal:t.refusal??null,tool_calls:l.map(((t,n)=>{const{function:r,type:o,id:i,...a}=t,{arguments:l,name:c,...u}=r||{};if(null==i)throw new we(`missing choices[${s}].tool_calls[${n}].id\n${ps(e)}`);if(null==o)throw new we(`missing choices[${s}].tool_calls[${n}].type\n${ps(e)}`);if(null==c)throw new we(`missing choices[${s}].tool_calls[${n}].function.name\n${ps(e)}`);if(null==l)throw new we(`missing choices[${s}].tool_calls[${n}].function.arguments\n${ps(e)}`);return{...a,id:i,type:o,function:{...u,name:c,arguments:l}}}))}}:{...o,message:{...c,content:i,role:u,refusal:t.refusal??null},finish_reason:n,index:s,logprobs:r}})),created:r,model:o,object:"chat.completion",...i?{system_fingerprint:i}:{}};return function(e,t){return t&&un(t)?an(e,t):{...e,choices:e.choices.map((e=>(dn(e.message.tool_calls),{...e,message:{...e.message,parsed:null,...e.message.tool_calls?{tool_calls:e.message.tool_calls}:void 0}})))}}(l,t)}(e,me(this,ts,"f"))},us=function(){const e=me(this,ts,"f")?.response_format;return rn(e)?e:null},ds=function(e){var t,n,s,r;let o=me(this,ss,"f");const{choices:i,...a}=e;o?Object.assign(o,a):o=_e(this,ss,{...a,choices:[]});for(const{delta:i,finish_reason:a,index:l,logprobs:c=null,...u}of e.choices){let e=o.choices[l];if(e||(e=o.choices[l]={finish_reason:a,index:l,message:{},logprobs:c,...u}),c)if(e.logprobs){const{content:s,refusal:r,...o}=c;Object.assign(e.logprobs,o),s&&((t=e.logprobs).content??(t.content=[]),e.logprobs.content.push(...s)),r&&((n=e.logprobs).refusal??(n.refusal=[]),e.logprobs.refusal.push(...r))}else e.logprobs=Object.assign({},c);if(a&&(e.finish_reason=a,me(this,ts,"f")&&un(me(this,ts,"f")))){if("length"===a)throw new Te;if("content_filter"===a)throw new je}if(Object.assign(e,u),!i)continue;const{content:d,refusal:h,function_call:p,role:f,tool_calls:_,...m}=i;if(Object.assign(e.message,m),h&&(e.message.refusal=(e.message.refusal||"")+h),f&&(e.message.role=f),p&&(e.message.function_call?(p.name&&(e.message.function_call.name=p.name),p.arguments&&((s=e.message.function_call).arguments??(s.arguments=""),e.message.function_call.arguments+=p.arguments)):e.message.function_call=p),d&&(e.message.content=(e.message.content||"")+d,!e.message.refusal&&me(this,es,"m",us).call(this)&&(e.message.parsed=Zn(e.message.content))),_){e.message.tool_calls||(e.message.tool_calls=[]);for(const{index:t,id:n,type:s,function:o,...i}of _){const a=(r=e.message.tool_calls)[t]??(r[t]={});Object.assign(a,i),n&&(a.id=n),s&&(a.type=s),o&&(a.function??(a.function={name:o.name??"",arguments:""})),o?.name&&(a.function.name=o.name),o?.arguments&&(a.function.arguments+=o.arguments,cn(me(this,ts,"f"),a)&&(a.function.parsed_arguments=Zn(a.function.arguments)))}}}return o},Symbol.asyncIterator)](){const e=[],t=[];let n=!1;return this.on("chunk",(n=>{const s=t.shift();s?s.resolve(n):e.push(n)})),this.on("end",(()=>{n=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{n=!0;for(const n of t)n.reject(e);t.length=0})),this.on("error",(e=>{n=!0;for(const n of t)n.reject(e);t.length=0})),{next:async()=>{if(!e.length)return n?{value:void 0,done:!0}:new Promise(((e,n)=>t.push({resolve:e,reject:n}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new Ct(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function ps(e){return JSON.stringify(e)}class fs extends hs{static fromReadableStream(e){const t=new fs(null);return t._run((()=>t._fromReadableStream(e))),t}static runTools(e,t,n){const s=new fs(t),r={...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"runTools"}};return s._run((()=>s._runTools(e,t,r))),s}}let _s=class extends Qt{constructor(){super(...arguments),this.messages=new nn(this._client)}create(e,t){return this._client.post("/chat/completions",{body:e,...t,stream:e.stream??!1})}retrieve(e,t){return this._client.get(tn`/chat/completions/${e}`,t)}update(e,t,n){return this._client.post(tn`/chat/completions/${e}`,{body:t,...n})}list(e={},t){return this._client.getAPIList("/chat/completions",qt,{query:e,...t})}delete(e,t){return this._client.delete(tn`/chat/completions/${e}`,t)}parse(e,t){return function(e){for(const t of e??[]){if("function"!==t.type)throw new we(`Currently only \`function\` tool types support auto-parsing; Received \`${t.type}\``);if(!0!==t.function.strict)throw new we(`The \`${t.function.name}\` tool is not marked with \`strict: true\`. Only strict function tools can be auto-parsed`)}}(e.tools),this._client.chat.completions.create(e,{...t,headers:{...t?.headers,"X-Stainless-Helper-Method":"chat.completions.parse"}})._thenUnwrap((t=>an(t,e)))}runTools(e,t){return e.stream?fs.runTools(this._client,e,t):qn.runTools(this._client,e,t)}stream(e,t){return hs.createChatCompletion(this._client,e,t)}};_s.Messages=nn;class ms extends Qt{constructor(){super(...arguments),this.completions=new _s(this._client)}}ms.Completions=_s;const gs=Symbol("brand.privateNullableHeaders");function*ys(e){if(!e)return;if(gs in e){const{values:t,nulls:n}=e;yield*t.entries();for(const e of n)yield[e,null];return}let t,n=!1;e instanceof Headers?t=e.entries():De(e)?t=e:(n=!0,t=Object.entries(e??{}));for(let e of t){const t=e[0];if("string"!=typeof t)throw new TypeError("expected header name to be a string");const s=De(e[1])?e[1]:[e[1]];let r=!1;for(const e of s)void 0!==e&&(n&&!r&&(r=!0,yield[t,null]),yield[t,e])}}const bs=e=>{const t=new Headers,n=new Set;for(const s of e){const e=new Set;for(const[r,o]of ys(s)){const s=r.toLowerCase();e.has(s)||(t.delete(r),e.add(s)),null===o?(t.delete(r),n.add(s)):(t.append(r,o),n.delete(s))}}return{[gs]:!0,values:t,nulls:n}};class ws extends Qt{create(e,t){return this._client.post("/audio/speech",{body:e,...t,headers:bs([{Accept:"application/octet-stream"},t?.headers]),__binaryResponse:!0})}}class vs extends Qt{create(e,t){return this._client.post("/audio/transcriptions",Xt({body:e,...t,stream:e.stream??!1,__metadata:{model:e.model}},this._client))}}class xs extends Qt{create(e,t){return this._client.post("/audio/translations",Xt({body:e,...t,__metadata:{model:e.model}},this._client))}}class Ss extends Qt{constructor(){super(...arguments),this.transcriptions=new vs(this._client),this.translations=new xs(this._client),this.speech=new ws(this._client)}}Ss.Transcriptions=vs,Ss.Translations=xs,Ss.Speech=ws;class ks extends Qt{create(e,t){return this._client.post("/batches",{body:e,...t})}retrieve(e,t){return this._client.get(tn`/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/batches",qt,{query:e,...t})}cancel(e,t){return this._client.post(tn`/batches/${e}/cancel`,t)}}class $s extends Qt{create(e,t){return this._client.post("/assistants",{body:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(tn`/assistants/${e}`,{...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,n){return this._client.post(tn`/assistants/${e}`,{body:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}list(e={},t){return this._client.getAPIList("/assistants",qt,{query:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}delete(e,t){return this._client.delete(tn`/assistants/${e}`,{...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class As extends Qt{create(e,t){return this._client.post("/realtime/sessions",{body:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class Is extends Qt{create(e,t){return this._client.post("/realtime/transcription_sessions",{body:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}let Os=class extends Qt{constructor(){super(...arguments),this.sessions=new As(this._client),this.transcriptionSessions=new Is(this._client)}};Os.Sessions=As,Os.TranscriptionSessions=Is;class Rs extends Qt{create(e,t,n){return this._client.post(tn`/threads/${e}/messages`,{body:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}retrieve(e,t,n){const{thread_id:s}=t;return this._client.get(tn`/threads/${s}/messages/${e}`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}update(e,t,n){const{thread_id:s,...r}=t;return this._client.post(tn`/threads/${s}/messages/${e}`,{body:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}list(e,t={},n){return this._client.getAPIList(tn`/threads/${e}/messages`,qt,{query:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}delete(e,t,n){const{thread_id:s}=t;return this._client.delete(tn`/threads/${s}/messages/${e}`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}}class Ps extends Qt{retrieve(e,t,n){const{thread_id:s,run_id:r,...o}=t;return this._client.get(tn`/threads/${s}/runs/${r}/steps/${e}`,{query:o,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}list(e,t,n){const{thread_id:s,...r}=t;return this._client.getAPIList(tn`/threads/${s}/runs/${e}/steps`,qt,{query:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}}const Cs=e=>void 0!==globalThis.process?globalThis.process.env?.[e]?.trim()??void 0:void 0!==globalThis.Deno?globalThis.Deno.env?.get?.(e)?.trim():void 0;var Es,Ts,js,Ms,Ns,Ls,Ds,qs,Ws,Bs,Us,Fs,Hs,Xs,Ks,Js,Vs,zs,Gs,Qs,Ys,Zs,er;class tr extends Mn{constructor(){super(...arguments),Es.add(this),js.set(this,[]),Ms.set(this,{}),Ns.set(this,{}),Ls.set(this,void 0),Ds.set(this,void 0),qs.set(this,void 0),Ws.set(this,void 0),Bs.set(this,void 0),Us.set(this,void 0),Fs.set(this,void 0),Hs.set(this,void 0),Xs.set(this,void 0)}[(js=new WeakMap,Ms=new WeakMap,Ns=new WeakMap,Ls=new WeakMap,Ds=new WeakMap,qs=new WeakMap,Ws=new WeakMap,Bs=new WeakMap,Us=new WeakMap,Fs=new WeakMap,Hs=new WeakMap,Xs=new WeakMap,Es=new WeakSet,Symbol.asyncIterator)](){const e=[],t=[];let n=!1;return this.on("event",(n=>{const s=t.shift();s?s.resolve(n):e.push(n)})),this.on("end",(()=>{n=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{n=!0;for(const n of t)n.reject(e);t.length=0})),this.on("error",(e=>{n=!0;for(const n of t)n.reject(e);t.length=0})),{next:async()=>{if(!e.length)return n?{value:void 0,done:!0}:new Promise(((e,n)=>t.push({resolve:e,reject:n}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}static fromReadableStream(e){const t=new Ts;return t._run((()=>t._fromReadableStream(e))),t}async _fromReadableStream(e,t){const n=t?.signal;n&&(n.aborted&&this.controller.abort(),n.addEventListener("abort",(()=>this.controller.abort()))),this._connected();const s=Ct.fromReadableStream(e,this.controller);for await(const e of s)me(this,Es,"m",Ks).call(this,e);if(s.controller.signal?.aborted)throw new xe;return this._addRun(me(this,Es,"m",Js).call(this))}toReadableStream(){return new Ct(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}static createToolAssistantStream(e,t,n,s){const r=new Ts;return r._run((()=>r._runToolAssistantStream(e,t,n,{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}async _createToolAssistantStream(e,t,n,s){const r=s?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const o={...n,stream:!0},i=await e.submitToolOutputs(t,o,{...s,signal:this.controller.signal});this._connected();for await(const e of i)me(this,Es,"m",Ks).call(this,e);if(i.controller.signal?.aborted)throw new xe;return this._addRun(me(this,Es,"m",Js).call(this))}static createThreadAssistantStream(e,t,n){const s=new Ts;return s._run((()=>s._threadAssistantStream(e,t,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),s}static createAssistantStream(e,t,n,s){const r=new Ts;return r._run((()=>r._runAssistantStream(e,t,n,{...s,headers:{...s?.headers,"X-Stainless-Helper-Method":"stream"}}))),r}currentEvent(){return me(this,Fs,"f")}currentRun(){return me(this,Hs,"f")}currentMessageSnapshot(){return me(this,Ls,"f")}currentRunStepSnapshot(){return me(this,Xs,"f")}async finalRunSteps(){return await this.done(),Object.values(me(this,Ms,"f"))}async finalMessages(){return await this.done(),Object.values(me(this,Ns,"f"))}async finalRun(){if(await this.done(),!me(this,Ds,"f"))throw Error("Final run was not received.");return me(this,Ds,"f")}async _createThreadAssistantStream(e,t,n){const s=n?.signal;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort())));const r={...t,stream:!0},o=await e.createAndRun(r,{...n,signal:this.controller.signal});this._connected();for await(const e of o)me(this,Es,"m",Ks).call(this,e);if(o.controller.signal?.aborted)throw new xe;return this._addRun(me(this,Es,"m",Js).call(this))}async _createAssistantStream(e,t,n,s){const r=s?.signal;r&&(r.aborted&&this.controller.abort(),r.addEventListener("abort",(()=>this.controller.abort())));const o={...n,stream:!0},i=await e.create(t,o,{...s,signal:this.controller.signal});this._connected();for await(const e of i)me(this,Es,"m",Ks).call(this,e);if(i.controller.signal?.aborted)throw new xe;return this._addRun(me(this,Es,"m",Js).call(this))}static accumulateDelta(e,t){for(const[n,s]of Object.entries(t)){if(!e.hasOwnProperty(n)){e[n]=s;continue}let t=e[n];if(null!=t)if("index"!==n&&"type"!==n){if("string"==typeof t&&"string"==typeof s)t+=s;else if("number"==typeof t&&"number"==typeof s)t+=s;else{if(!We(t)||!We(s)){if(Array.isArray(t)&&Array.isArray(s)){if(t.every((e=>"string"==typeof e||"number"==typeof e))){t.push(...s);continue}for(const e of s){if(!We(e))throw new Error(`Expected array delta entry to be an object but got: ${e}`);const n=e.index;if(null==n)throw console.error(e),new Error("Expected array delta entry to have an `index` property");if("number"!=typeof n)throw new Error(`Expected array delta entry \`index\` property to be a number but got ${n}`);const s=t[n];null==s?t.push(e):t[n]=this.accumulateDelta(s,e)}continue}throw Error(`Unhandled record type: ${n}, deltaValue: ${s}, accValue: ${t}`)}t=this.accumulateDelta(t,s)}e[n]=t}else e[n]=s;else e[n]=s}return e}_addRun(e){return e}async _threadAssistantStream(e,t,n){return await this._createThreadAssistantStream(t,e,n)}async _runAssistantStream(e,t,n,s){return await this._createAssistantStream(t,e,n,s)}async _runToolAssistantStream(e,t,n,s){return await this._createToolAssistantStream(t,e,n,s)}}Ts=tr,Ks=function(e){if(!this.ended)switch(_e(this,Fs,e),me(this,Es,"m",Gs).call(this,e),e.event){case"thread.created":break;case"thread.run.created":case"thread.run.queued":case"thread.run.in_progress":case"thread.run.requires_action":case"thread.run.completed":case"thread.run.incomplete":case"thread.run.failed":case"thread.run.cancelling":case"thread.run.cancelled":case"thread.run.expired":me(this,Es,"m",er).call(this,e);break;case"thread.run.step.created":case"thread.run.step.in_progress":case"thread.run.step.delta":case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":me(this,Es,"m",zs).call(this,e);break;case"thread.message.created":case"thread.message.in_progress":case"thread.message.delta":case"thread.message.completed":case"thread.message.incomplete":me(this,Es,"m",Vs).call(this,e);break;case"error":throw new Error("Encountered an error event in event processing - errors should be processed earlier")}},Js=function(){if(this.ended)throw new we("stream has ended, this shouldn't happen");if(!me(this,Ds,"f"))throw Error("Final run has not been received");return me(this,Ds,"f")},Vs=function(e){const[t,n]=me(this,Es,"m",Ys).call(this,e,me(this,Ls,"f"));_e(this,Ls,t),me(this,Ns,"f")[t.id]=t;for(const e of n){const n=t.content[e.index];"text"==n?.type&&this._emit("textCreated",n.text)}switch(e.event){case"thread.message.created":this._emit("messageCreated",e.data);break;case"thread.message.in_progress":break;case"thread.message.delta":if(this._emit("messageDelta",e.data.delta,t),e.data.delta.content)for(const n of e.data.delta.content){if("text"==n.type&&n.text){let e=n.text,s=t.content[n.index];if(!s||"text"!=s.type)throw Error("The snapshot associated with this text delta is not text or missing");this._emit("textDelta",e,s.text)}if(n.index!=me(this,qs,"f")){if(me(this,Ws,"f"))switch(me(this,Ws,"f").type){case"text":this._emit("textDone",me(this,Ws,"f").text,me(this,Ls,"f"));break;case"image_file":this._emit("imageFileDone",me(this,Ws,"f").image_file,me(this,Ls,"f"))}_e(this,qs,n.index)}_e(this,Ws,t.content[n.index])}break;case"thread.message.completed":case"thread.message.incomplete":if(void 0!==me(this,qs,"f")){const t=e.data.content[me(this,qs,"f")];if(t)switch(t.type){case"image_file":this._emit("imageFileDone",t.image_file,me(this,Ls,"f"));break;case"text":this._emit("textDone",t.text,me(this,Ls,"f"))}}me(this,Ls,"f")&&this._emit("messageDone",e.data),_e(this,Ls,void 0)}},zs=function(e){const t=me(this,Es,"m",Qs).call(this,e);switch(_e(this,Xs,t),e.event){case"thread.run.step.created":this._emit("runStepCreated",e.data);break;case"thread.run.step.delta":const n=e.data.delta;if(n.step_details&&"tool_calls"==n.step_details.type&&n.step_details.tool_calls&&"tool_calls"==t.step_details.type)for(const e of n.step_details.tool_calls)e.index==me(this,Bs,"f")?this._emit("toolCallDelta",e,t.step_details.tool_calls[e.index]):(me(this,Us,"f")&&this._emit("toolCallDone",me(this,Us,"f")),_e(this,Bs,e.index),_e(this,Us,t.step_details.tool_calls[e.index]),me(this,Us,"f")&&this._emit("toolCallCreated",me(this,Us,"f")));this._emit("runStepDelta",e.data.delta,t);break;case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":_e(this,Xs,void 0);"tool_calls"==e.data.step_details.type&&me(this,Us,"f")&&(this._emit("toolCallDone",me(this,Us,"f")),_e(this,Us,void 0)),this._emit("runStepDone",e.data,t)}},Gs=function(e){me(this,js,"f").push(e),this._emit("event",e)},Qs=function(e){switch(e.event){case"thread.run.step.created":return me(this,Ms,"f")[e.data.id]=e.data,e.data;case"thread.run.step.delta":let t=me(this,Ms,"f")[e.data.id];if(!t)throw Error("Received a RunStepDelta before creation of a snapshot");let n=e.data;if(n.delta){const s=Ts.accumulateDelta(t,n.delta);me(this,Ms,"f")[e.data.id]=s}return me(this,Ms,"f")[e.data.id];case"thread.run.step.completed":case"thread.run.step.failed":case"thread.run.step.cancelled":case"thread.run.step.expired":case"thread.run.step.in_progress":me(this,Ms,"f")[e.data.id]=e.data}if(me(this,Ms,"f")[e.data.id])return me(this,Ms,"f")[e.data.id];throw new Error("No snapshot available")},Ys=function(e,t){let n=[];switch(e.event){case"thread.message.created":return[e.data,n];case"thread.message.delta":if(!t)throw Error("Received a delta with no existing snapshot (there should be one from message creation)");let s=e.data;if(s.delta.content)for(const e of s.delta.content)if(e.index in t.content){let n=t.content[e.index];t.content[e.index]=me(this,Es,"m",Zs).call(this,e,n)}else t.content[e.index]=e,n.push(e);return[t,n];case"thread.message.in_progress":case"thread.message.completed":case"thread.message.incomplete":if(t)return[t,n];throw Error("Received thread message event with no existing snapshot")}throw Error("Tried to accumulate a non-message event")},Zs=function(e,t){return Ts.accumulateDelta(t,e)},er=function(e){switch(_e(this,Hs,e.data),e.event){case"thread.run.created":case"thread.run.queued":case"thread.run.in_progress":break;case"thread.run.requires_action":case"thread.run.cancelled":case"thread.run.failed":case"thread.run.completed":case"thread.run.expired":case"thread.run.incomplete":_e(this,Ds,e.data),me(this,Us,"f")&&(this._emit("toolCallDone",me(this,Us,"f")),_e(this,Us,void 0))}};let nr=class extends Qt{constructor(){super(...arguments),this.steps=new Ps(this._client)}create(e,t,n){const{include:s,...r}=t;return this._client.post(tn`/threads/${e}/runs`,{query:{include:s},body:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers]),stream:t.stream??!1})}retrieve(e,t,n){const{thread_id:s}=t;return this._client.get(tn`/threads/${s}/runs/${e}`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}update(e,t,n){const{thread_id:s,...r}=t;return this._client.post(tn`/threads/${s}/runs/${e}`,{body:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}list(e,t={},n){return this._client.getAPIList(tn`/threads/${e}/runs`,qt,{query:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}cancel(e,t,n){const{thread_id:s}=t;return this._client.post(tn`/threads/${s}/runs/${e}/cancel`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}async createAndPoll(e,t,n){const s=await this.create(e,t,n);return await this.poll(s.id,{thread_id:e},n)}createAndStream(e,t,n){return tr.createAssistantStream(e,this._client.beta.threads.runs,t,n)}async poll(e,t,n){const s=bs([n?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":n?.pollIntervalMs?.toString()??void 0}]);for(;;){const{data:r,response:o}=await this.retrieve(e,t,{...n,headers:{...n?.headers,...s}}).withResponse();switch(r.status){case"queued":case"in_progress":case"cancelling":let e=5e3;if(n?.pollIntervalMs)e=n.pollIntervalMs;else{const t=o.headers.get("openai-poll-after-ms");if(t){const n=parseInt(t);isNaN(n)||(e=n)}}await Be(e);break;case"requires_action":case"incomplete":case"cancelled":case"completed":case"failed":case"expired":return r}}}stream(e,t,n){return tr.createAssistantStream(e,this._client.beta.threads.runs,t,n)}submitToolOutputs(e,t,n){const{thread_id:s,...r}=t;return this._client.post(tn`/threads/${s}/runs/${e}/submit_tool_outputs`,{body:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers]),stream:t.stream??!1})}async submitToolOutputsAndPoll(e,t,n){const s=await this.submitToolOutputs(e,t,n);return await this.poll(s.id,t,n)}submitToolOutputsStream(e,t,n){return tr.createToolAssistantStream(e,this._client.beta.threads.runs,t,n)}};nr.Steps=Ps;class sr extends Qt{constructor(){super(...arguments),this.runs=new nr(this._client),this.messages=new Rs(this._client)}create(e={},t){return this._client.post("/threads",{body:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(tn`/threads/${e}`,{...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,n){return this._client.post(tn`/threads/${e}`,{body:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}delete(e,t){return this._client.delete(tn`/threads/${e}`,{...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}createAndRun(e,t){return this._client.post("/threads/runs",{body:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers]),stream:e.stream??!1})}async createAndRunPoll(e,t){const n=await this.createAndRun(e,t);return await this.runs.poll(n.id,{thread_id:n.thread_id},t)}createAndRunStream(e,t){return tr.createThreadAssistantStream(e,this._client.beta.threads,t)}}sr.Runs=nr,sr.Messages=Rs;class rr extends Qt{constructor(){super(...arguments),this.realtime=new Os(this._client),this.assistants=new $s(this._client),this.threads=new sr(this._client)}}rr.Realtime=Os,rr.Assistants=$s,rr.Threads=sr;class or extends Qt{create(e,t){return this._client.post("/completions",{body:e,...t,stream:e.stream??!1})}}class ir extends Qt{retrieve(e,t,n){const{container_id:s}=t;return this._client.get(tn`/containers/${s}/files/${e}/content`,{...n,headers:bs([{Accept:"application/binary"},n?.headers]),__binaryResponse:!0})}}let ar=class extends Qt{constructor(){super(...arguments),this.content=new ir(this._client)}create(e,t,n){return this._client.post(tn`/containers/${e}/files`,Xt({body:t,...n},this._client))}retrieve(e,t,n){const{container_id:s}=t;return this._client.get(tn`/containers/${s}/files/${e}`,n)}list(e,t={},n){return this._client.getAPIList(tn`/containers/${e}/files`,qt,{query:t,...n})}delete(e,t,n){const{container_id:s}=t;return this._client.delete(tn`/containers/${s}/files/${e}`,{...n,headers:bs([{Accept:"*/*"},n?.headers])})}};ar.Content=ir;class lr extends Qt{constructor(){super(...arguments),this.files=new ar(this._client)}create(e,t){return this._client.post("/containers",{body:e,...t})}retrieve(e,t){return this._client.get(tn`/containers/${e}`,t)}list(e={},t){return this._client.getAPIList("/containers",qt,{query:e,...t})}delete(e,t){return this._client.delete(tn`/containers/${e}`,{...t,headers:bs([{Accept:"*/*"},t?.headers])})}}lr.Files=ar;class cr extends Qt{create(e,t,n){const{include:s,...r}=t;return this._client.post(tn`/conversations/${e}/items`,{query:{include:s},body:r,...n})}retrieve(e,t,n){const{conversation_id:s,...r}=t;return this._client.get(tn`/conversations/${s}/items/${e}`,{query:r,...n})}list(e,t={},n){return this._client.getAPIList(tn`/conversations/${e}/items`,Wt,{query:t,...n})}delete(e,t,n){const{conversation_id:s}=t;return this._client.delete(tn`/conversations/${s}/items/${e}`,n)}}class ur extends Qt{constructor(){super(...arguments),this.items=new cr(this._client)}create(e={},t){return this._client.post("/conversations",{body:e,...t})}retrieve(e,t){return this._client.get(tn`/conversations/${e}`,t)}update(e,t,n){return this._client.post(tn`/conversations/${e}`,{body:t,...n})}delete(e,t){return this._client.delete(tn`/conversations/${e}`,t)}}ur.Items=cr;class dr extends Qt{create(e,t){const n=!!e.encoding_format;let s=n?e.encoding_format:"base64";n&&At(this._client).debug("embeddings/user defined encoding_format:",e.encoding_format);const r=this._client.post("/embeddings",{body:{...e,encoding_format:s},...t});return n?r:(At(this._client).debug("embeddings/decoding base64 embeddings from base64"),r._thenUnwrap((e=>(e&&e.data&&e.data.forEach((e=>{const t=e.embedding;e.embedding=(e=>{if("undefined"!=typeof Buffer){const t=Buffer.from(e,"base64");return Array.from(new Float32Array(t.buffer,t.byteOffset,t.length/Float32Array.BYTES_PER_ELEMENT))}{const t=atob(e),n=t.length,s=new Uint8Array(n);for(let e=0;en)throw new ke({message:`Giving up on waiting for file ${e} to finish processing after ${n} milliseconds.`});return o}};class mr extends Qt{}let gr=class extends Qt{run(e,t){return this._client.post("/fine_tuning/alpha/graders/run",{body:e,...t})}validate(e,t){return this._client.post("/fine_tuning/alpha/graders/validate",{body:e,...t})}};class yr extends Qt{constructor(){super(...arguments),this.graders=new gr(this._client)}}yr.Graders=gr;class br extends Qt{create(e,t,n){return this._client.getAPIList(tn`/fine_tuning/checkpoints/${e}/permissions`,Dt,{body:t,method:"post",...n})}retrieve(e,t={},n){return this._client.get(tn`/fine_tuning/checkpoints/${e}/permissions`,{query:t,...n})}delete(e,t,n){const{fine_tuned_model_checkpoint:s}=t;return this._client.delete(tn`/fine_tuning/checkpoints/${s}/permissions/${e}`,n)}}let wr=class extends Qt{constructor(){super(...arguments),this.permissions=new br(this._client)}};wr.Permissions=br;class vr extends Qt{list(e,t={},n){return this._client.getAPIList(tn`/fine_tuning/jobs/${e}/checkpoints`,qt,{query:t,...n})}}class xr extends Qt{constructor(){super(...arguments),this.checkpoints=new vr(this._client)}create(e,t){return this._client.post("/fine_tuning/jobs",{body:e,...t})}retrieve(e,t){return this._client.get(tn`/fine_tuning/jobs/${e}`,t)}list(e={},t){return this._client.getAPIList("/fine_tuning/jobs",qt,{query:e,...t})}cancel(e,t){return this._client.post(tn`/fine_tuning/jobs/${e}/cancel`,t)}listEvents(e,t={},n){return this._client.getAPIList(tn`/fine_tuning/jobs/${e}/events`,qt,{query:t,...n})}pause(e,t){return this._client.post(tn`/fine_tuning/jobs/${e}/pause`,t)}resume(e,t){return this._client.post(tn`/fine_tuning/jobs/${e}/resume`,t)}}xr.Checkpoints=vr;class Sr extends Qt{constructor(){super(...arguments),this.methods=new mr(this._client),this.jobs=new xr(this._client),this.checkpoints=new wr(this._client),this.alpha=new yr(this._client)}}Sr.Methods=mr,Sr.Jobs=xr,Sr.Checkpoints=wr,Sr.Alpha=yr;class kr extends Qt{}class $r extends Qt{constructor(){super(...arguments),this.graderModels=new kr(this._client)}}$r.GraderModels=kr;class Ar extends Qt{createVariation(e,t){return this._client.post("/images/variations",Xt({body:e,...t},this._client))}edit(e,t){return this._client.post("/images/edits",Xt({body:e,...t,stream:e.stream??!1},this._client))}generate(e,t){return this._client.post("/images/generations",{body:e,...t,stream:e.stream??!1})}}class Ir extends Qt{retrieve(e,t){return this._client.get(tn`/models/${e}`,t)}list(e){return this._client.getAPIList("/models",Dt,e)}delete(e,t){return this._client.delete(tn`/models/${e}`,t)}}class Or extends Qt{create(e,t){return this._client.post("/moderations",{body:e,...t})}}class Rr extends Qt{create(e,t){return this._client.post("/realtime/client_secrets",{body:e,...t})}}class Pr extends Qt{constructor(){super(...arguments),this.clientSecrets=new Rr(this._client)}}function Cr(e,t){return t&&function(e){if(rn(e.text?.format))return!0;return!1}(t)?Er(e,t):{...e,output_parsed:null,output:e.output.map((e=>"function_call"===e.type?{...e,parsed_arguments:null}:"message"===e.type?{...e,content:e.content.map((e=>({...e,parsed:null})))}:e))}}function Er(e,t){const n=e.output.map((e=>{if("function_call"===e.type)return{...e,parsed_arguments:jr(t,e)};if("message"===e.type){const n=e.content.map((e=>"output_text"===e.type?{...e,parsed:Tr(t,e.text)}:e));return{...e,content:n}}return e})),s=Object.assign({},e,{output:n});return Object.getOwnPropertyDescriptor(e,"output_text")||Mr(s),Object.defineProperty(s,"output_parsed",{enumerable:!0,get(){for(const e of s.output)if("message"===e.type)for(const t of e.content)if("output_text"===t.type&&null!==t.parsed)return t.parsed;return null}}),s}function Tr(e,t){if("json_schema"!==e.text?.format?.type)return null;if("$parseRaw"in e.text?.format){const n=e.text?.format;return n.$parseRaw(t)}return JSON.parse(t)}function jr(e,t){const n=(s=e.tools??[],r=t.name,s.find((e=>"function"===e.type&&e.name===r)));var s,r,o;return{...t,...t,parsed_arguments:(o=n,"auto-parseable-tool"===o?.$brand?n.$parseRaw(t.arguments):n?.strict?JSON.parse(t.arguments):null)}}function Mr(e){const t=[];for(const n of e.output)if("message"===n.type)for(const e of n.content)"output_text"===e.type&&t.push(e.text);e.output_text=t.join("")}var Nr,Lr,Dr,qr,Wr,Br,Ur,Fr;Pr.ClientSecrets=Rr;class Hr extends Mn{constructor(e){super(),Nr.add(this),Lr.set(this,void 0),Dr.set(this,void 0),qr.set(this,void 0),_e(this,Lr,e)}static createResponse(e,t,n){const s=new Hr(t);return s._run((()=>s._createOrRetrieveResponse(e,t,{...n,headers:{...n?.headers,"X-Stainless-Helper-Method":"stream"}}))),s}async _createOrRetrieveResponse(e,t,n){const s=n?.signal;let r;s&&(s.aborted&&this.controller.abort(),s.addEventListener("abort",(()=>this.controller.abort()))),me(this,Nr,"m",Wr).call(this);let o=null;"response_id"in t?(r=await e.responses.retrieve(t.response_id,{stream:!0},{...n,signal:this.controller.signal,stream:!0}),o=t.starting_after??null):r=await e.responses.create({...t,stream:!0},{...n,signal:this.controller.signal}),this._connected();for await(const e of r)me(this,Nr,"m",Br).call(this,e,o);if(r.controller.signal?.aborted)throw new xe;return me(this,Nr,"m",Ur).call(this)}[(Lr=new WeakMap,Dr=new WeakMap,qr=new WeakMap,Nr=new WeakSet,Wr=function(){this.ended||_e(this,Dr,void 0)},Br=function(e,t){if(this.ended)return;const n=(e,n)=>{(null==t||n.sequence_number>t)&&this._emit(e,n)},s=me(this,Nr,"m",Fr).call(this,e);switch(n("event",e),e.type){case"response.output_text.delta":{const t=s.output[e.output_index];if(!t)throw new we(`missing output at index ${e.output_index}`);if("message"===t.type){const s=t.content[e.content_index];if(!s)throw new we(`missing content at index ${e.content_index}`);if("output_text"!==s.type)throw new we(`expected content to be 'output_text', got ${s.type}`);n("response.output_text.delta",{...e,snapshot:s.text})}break}case"response.function_call_arguments.delta":{const t=s.output[e.output_index];if(!t)throw new we(`missing output at index ${e.output_index}`);"function_call"===t.type&&n("response.function_call_arguments.delta",{...e,snapshot:t.arguments});break}default:n(e.type,e)}},Ur=function(){if(this.ended)throw new we("stream has ended, this shouldn't happen");const e=me(this,Dr,"f");if(!e)throw new we("request ended without sending any events");_e(this,Dr,void 0);const t=function(e,t){return Cr(e,t)}(e,me(this,Lr,"f"));return _e(this,qr,t),t},Fr=function(e){let t=me(this,Dr,"f");if(!t){if("response.created"!==e.type)throw new we(`When snapshot hasn't been set yet, expected 'response.created' event, got ${e.type}`);return t=_e(this,Dr,e.response),t}switch(e.type){case"response.output_item.added":t.output.push(e.item);break;case"response.content_part.added":{const n=t.output[e.output_index];if(!n)throw new we(`missing output at index ${e.output_index}`);const s=n.type,r=e.part;"message"===s&&"reasoning_text"!==r.type?n.content.push(r):"reasoning"===s&&"reasoning_text"===r.type&&(n.content||(n.content=[]),n.content.push(r));break}case"response.output_text.delta":{const n=t.output[e.output_index];if(!n)throw new we(`missing output at index ${e.output_index}`);if("message"===n.type){const t=n.content[e.content_index];if(!t)throw new we(`missing content at index ${e.content_index}`);if("output_text"!==t.type)throw new we(`expected content to be 'output_text', got ${t.type}`);t.text+=e.delta}break}case"response.function_call_arguments.delta":{const n=t.output[e.output_index];if(!n)throw new we(`missing output at index ${e.output_index}`);"function_call"===n.type&&(n.arguments+=e.delta);break}case"response.reasoning_text.delta":{const n=t.output[e.output_index];if(!n)throw new we(`missing output at index ${e.output_index}`);if("reasoning"===n.type){const t=n.content?.[e.content_index];if(!t)throw new we(`missing content at index ${e.content_index}`);if("reasoning_text"!==t.type)throw new we(`expected content to be 'reasoning_text', got ${t.type}`);t.text+=e.delta}break}case"response.completed":_e(this,Dr,e.response)}return t},Symbol.asyncIterator)](){const e=[],t=[];let n=!1;return this.on("event",(n=>{const s=t.shift();s?s.resolve(n):e.push(n)})),this.on("end",(()=>{n=!0;for(const e of t)e.resolve(void 0);t.length=0})),this.on("abort",(e=>{n=!0;for(const n of t)n.reject(e);t.length=0})),this.on("error",(e=>{n=!0;for(const n of t)n.reject(e);t.length=0})),{next:async()=>{if(!e.length)return n?{value:void 0,done:!0}:new Promise(((e,n)=>t.push({resolve:e,reject:n}))).then((e=>e?{value:e,done:!1}:{value:void 0,done:!0}));return{value:e.shift(),done:!1}},return:async()=>(this.abort(),{value:void 0,done:!0})}}async finalResponse(){await this.done();const e=me(this,qr,"f");if(!e)throw new we("stream ended without producing a ChatCompletion");return e}}class Xr extends Qt{list(e,t={},n){return this._client.getAPIList(tn`/responses/${e}/input_items`,qt,{query:t,...n})}}class Kr extends Qt{constructor(){super(...arguments),this.inputItems=new Xr(this._client)}create(e,t){return this._client.post("/responses",{body:e,...t,stream:e.stream??!1})._thenUnwrap((e=>("object"in e&&"response"===e.object&&Mr(e),e)))}retrieve(e,t={},n){return this._client.get(tn`/responses/${e}`,{query:t,...n,stream:t?.stream??!1})._thenUnwrap((e=>("object"in e&&"response"===e.object&&Mr(e),e)))}delete(e,t){return this._client.delete(tn`/responses/${e}`,{...t,headers:bs([{Accept:"*/*"},t?.headers])})}parse(e,t){return this._client.responses.create(e,t)._thenUnwrap((t=>Er(t,e)))}stream(e,t){return Hr.createResponse(this._client,e,t)}cancel(e,t){return this._client.post(tn`/responses/${e}/cancel`,t)}}Kr.InputItems=Xr;class Jr extends Qt{create(e,t,n){return this._client.post(tn`/uploads/${e}/parts`,Xt({body:t,...n},this._client))}}class Vr extends Qt{constructor(){super(...arguments),this.parts=new Jr(this._client)}create(e,t){return this._client.post("/uploads",{body:e,...t})}cancel(e,t){return this._client.post(tn`/uploads/${e}/cancel`,t)}complete(e,t,n){return this._client.post(tn`/uploads/${e}/complete`,{body:t,...n})}}Vr.Parts=Jr;class zr extends Qt{create(e,t,n){return this._client.post(tn`/vector_stores/${e}/file_batches`,{body:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}retrieve(e,t,n){const{vector_store_id:s}=t;return this._client.get(tn`/vector_stores/${s}/file_batches/${e}`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}cancel(e,t,n){const{vector_store_id:s}=t;return this._client.post(tn`/vector_stores/${s}/file_batches/${e}/cancel`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}async createAndPoll(e,t,n){const s=await this.create(e,t);return await this.poll(e,s.id,n)}listFiles(e,t,n){const{vector_store_id:s,...r}=t;return this._client.getAPIList(tn`/vector_stores/${s}/file_batches/${e}/files`,qt,{query:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}async poll(e,t,n){const s=bs([n?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":n?.pollIntervalMs?.toString()??void 0}]);for(;;){const{data:r,response:o}=await this.retrieve(t,{vector_store_id:e},{...n,headers:s}).withResponse();switch(r.status){case"in_progress":let e=5e3;if(n?.pollIntervalMs)e=n.pollIntervalMs;else{const 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this._client.get(tn`/vector_stores/${s}/files/${e}`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}update(e,t,n){const{vector_store_id:s,...r}=t;return this._client.post(tn`/vector_stores/${s}/files/${e}`,{body:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}list(e,t={},n){return this._client.getAPIList(tn`/vector_stores/${e}/files`,qt,{query:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}delete(e,t,n){const{vector_store_id:s}=t;return this._client.delete(tn`/vector_stores/${s}/files/${e}`,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}async createAndPoll(e,t,n){const s=await this.create(e,t,n);return await this.poll(e,s.id,n)}async poll(e,t,n){const s=bs([n?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":n?.pollIntervalMs?.toString()??void 0}]);for(;;){const r=await this.retrieve(t,{vector_store_id:e},{...n,headers:s}).withResponse(),o=r.data;switch(o.status){case"in_progress":let e=5e3;if(n?.pollIntervalMs)e=n.pollIntervalMs;else{const t=r.response.headers.get("openai-poll-after-ms");if(t){const n=parseInt(t);isNaN(n)||(e=n)}}await Be(e);break;case"failed":case"completed":return o}}}async upload(e,t,n){const s=await this._client.files.create({file:t,purpose:"assistants"},n);return this.create(e,{file_id:s.id},n)}async uploadAndPoll(e,t,n){const s=await this.upload(e,t,n);return await this.poll(e,s.id,n)}content(e,t,n){const{vector_store_id:s}=t;return this._client.getAPIList(tn`/vector_stores/${s}/files/${e}/content`,Dt,{...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}}class Qr extends Qt{constructor(){super(...arguments),this.files=new Gr(this._client),this.fileBatches=new zr(this._client)}create(e,t){return this._client.post("/vector_stores",{body:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(tn`/vector_stores/${e}`,{...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,n){return this._client.post(tn`/vector_stores/${e}`,{body:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}list(e={},t){return this._client.getAPIList("/vector_stores",qt,{query:e,...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}delete(e,t){return this._client.delete(tn`/vector_stores/${e}`,{...t,headers:bs([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}search(e,t,n){return this._client.getAPIList(tn`/vector_stores/${e}/search`,Dt,{body:t,method:"post",...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}}var Yr,Zr,eo,to,no,so,ro;Qr.Files=Gr,Qr.FileBatches=zr;class oo extends Qt{constructor(){super(...arguments),Yr.add(this)}async unwrap(e,t,n=this._client.webhookSecret,s=300){return await this.verifySignature(e,t,n,s),JSON.parse(e)}async verifySignature(e,t,n=this._client.webhookSecret,s=300){if("undefined"==typeof 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crypto.subtle.verify("HMAC",p,t,(new TextEncoder).encode(h)))return}catch{continue}throw new Me("The given webhook signature does not match the expected signature")}}Yr=new WeakSet,Zr=function(e){if("string"!=typeof e||0===e.length)throw new Error("The webhook secret must either be set using the env var, OPENAI_WEBHOOK_SECRET, on the client class, OpenAI({ webhookSecret: '123' }), or passed to this function")},eo=function(e,t){if(!e)throw new Error("Headers are required");const n=e.get(t);if(null==n)throw new Error(`Missing required header: ${t}`);return n};class io{constructor({baseURL:e=Cs("OPENAI_BASE_URL"),apiKey:t=Cs("OPENAI_API_KEY"),organization:n=Cs("OPENAI_ORG_ID")??null,project:s=Cs("OPENAI_PROJECT_ID")??null,webhookSecret:r=Cs("OPENAI_WEBHOOK_SECRET")??null,...o}={}){if(to.add(this),so.set(this,void 0),this.completions=new or(this),this.chat=new ms(this),this.embeddings=new dr(this),this.files=new _r(this),this.images=new Ar(this),this.audio=new Ss(this),this.moderations=new Or(this),this.models=new Ir(this),this.fineTuning=new Sr(this),this.graders=new $r(this),this.vectorStores=new Qr(this),this.webhooks=new oo(this),this.beta=new rr(this),this.batches=new ks(this),this.uploads=new Vr(this),this.responses=new Kr(this),this.realtime=new Pr(this),this.conversations=new ur(this),this.evals=new fr(this),this.containers=new lr(this),void 0===t)throw new we("Missing credentials. 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this.validateHeaders(o),o.values}buildBody({options:{body:e,headers:t}}){if(!e)return{bodyHeaders:void 0,body:void 0};const n=bs([t]);return ArrayBuffer.isView(e)||e instanceof ArrayBuffer||e instanceof DataView||"string"==typeof e&&n.values.has("content-type")||globalThis.Blob&&e instanceof globalThis.Blob||e instanceof FormData||e instanceof URLSearchParams||globalThis.ReadableStream&&e instanceof globalThis.ReadableStream?{bodyHeaders:void 0,body:e}:"object"==typeof e&&(Symbol.asyncIterator in e||Symbol.iterator in e&&"next"in e&&"function"==typeof e.next)?{bodyHeaders:void 0,body:Ve(e)}:me(this,so,"f").call(this,{body:e,headers:n})}}function ao(e,t,n){const[s,r]=ie([]),[o,i]=ie(null);return{models:s,fetchModels:()=>X(this,void 0,void 0,(function*(){if(e)try{const s=new io({apiKey:e,baseURL:t||void 0,project:n||void 0,dangerouslyAllowBrowser:!0}),o=(yield s.models.list()).data.filter((e=>e.id.startsWith("gpt")||-1!==e.id.search(/^o\d+/gi)||e.id.startsWith("chatgpt")));o.sort(((e,t)=>t.id.localeCompare(e.id))),r(o.map((e=>e.id))),i(null)}catch(e){console.error(e),i(e.message||String(e))}})),validateModel:(s,r)=>X(this,void 0,void 0,(function*(){var o,i;if(!e||!s)return{success:!1,error:"API Key and Model are required"};try{const a=new io({apiKey:e,baseURL:t||void 0,project:n||void 0,dangerouslyAllowBrowser:!0}),l=null===(i=null===(o=(yield a.chat.completions.create({model:s,messages:[{role:"user",content:"reply just pong, set success to true, and provide a random number between 1 and 100."}],max_completion_tokens:r||2e3,response_format:{type:"json_schema",json_schema:{name:"model_test",strict:!0,schema:{type:"object",properties:{reply:{type:"string",description:"The text reply"},success:{type:"boolean",description:"Always 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IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\r\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\r\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\r\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\r\nPERFORMANCE OF THIS SOFTWARE.\r\n***************************************************************************** */\r\n/* global Reflect, Promise, SuppressedError, Symbol, Iterator */\r\n\r\nvar extendStatics = function(d, b) {\r\n extendStatics = Object.setPrototypeOf ||\r\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\r\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\r\n return extendStatics(d, b);\r\n};\r\n\r\nexport function __extends(d, b) {\r\n if (typeof b !== \"function\" && b !== null)\r\n throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\r\n extendStatics(d, b);\r\n function __() { this.constructor = d; }\r\n d.prototype = b === null ? 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Object.getOwnPropertyDescriptor(target, contextIn.name) : {});\r\n var _, done = false;\r\n for (var i = decorators.length - 1; i >= 0; i--) {\r\n var context = {};\r\n for (var p in contextIn) context[p] = p === \"access\" ? {} : contextIn[p];\r\n for (var p in contextIn.access) context.access[p] = contextIn.access[p];\r\n context.addInitializer = function (f) { if (done) throw new TypeError(\"Cannot add initializers after decoration has completed\"); extraInitializers.push(accept(f || null)); };\r\n var result = (0, decorators[i])(kind === \"accessor\" ? { get: descriptor.get, set: descriptor.set } : descriptor[key], context);\r\n if (kind === \"accessor\") {\r\n if (result === void 0) continue;\r\n if (result === null || typeof result !== \"object\") throw new TypeError(\"Object expected\");\r\n if (_ = accept(result.get)) descriptor.get = _;\r\n if (_ = accept(result.set)) descriptor.set = _;\r\n if (_ = accept(result.init)) initializers.unshift(_);\r\n }\r\n else if (_ = accept(result)) {\r\n if (kind === \"field\") initializers.unshift(_);\r\n else descriptor[key] = _;\r\n }\r\n }\r\n if (target) Object.defineProperty(target, contextIn.name, descriptor);\r\n done = true;\r\n};\r\n\r\nexport function __runInitializers(thisArg, initializers, value) {\r\n var useValue = arguments.length > 2;\r\n for (var i = 0; i < initializers.length; i++) {\r\n value = useValue ? initializers[i].call(thisArg, value) : initializers[i].call(thisArg);\r\n }\r\n return useValue ? value : void 0;\r\n};\r\n\r\nexport function __propKey(x) {\r\n return typeof x === \"symbol\" ? x : \"\".concat(x);\r\n};\r\n\r\nexport function __setFunctionName(f, name, prefix) {\r\n if (typeof name === \"symbol\") name = name.description ? \"[\".concat(name.description, \"]\") : \"\";\r\n return Object.defineProperty(f, \"name\", { configurable: true, value: prefix ? \"\".concat(prefix, \" \", name) : name });\r\n};\r\n\r\nexport function __metadata(metadataKey, metadataValue) {\r\n if (typeof Reflect === \"object\" && typeof Reflect.metadata === \"function\") return Reflect.metadata(metadataKey, metadataValue);\r\n}\r\n\r\nexport function __awaiter(thisArg, _arguments, P, generator) {\r\n function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }\r\n return new (P || (P = Promise))(function (resolve, reject) {\r\n function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\r\n function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\r\n function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }\r\n step((generator = generator.apply(thisArg, _arguments || [])).next());\r\n });\r\n}\r\n\r\nexport function __generator(thisArg, body) {\r\n var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g = Object.create((typeof Iterator === \"function\" ? Iterator : Object).prototype);\r\n return g.next = verb(0), g[\"throw\"] = verb(1), g[\"return\"] = verb(2), typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\r\n function verb(n) { return function (v) { return step([n, v]); }; }\r\n function step(op) {\r\n if (f) throw new TypeError(\"Generator is already executing.\");\r\n while (g && (g = 0, op[0] && (_ = 0)), _) try {\r\n if (f = 1, y && (t = op[0] & 2 ? y[\"return\"] : op[0] ? y[\"throw\"] || ((t = y[\"return\"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;\r\n if (y = 0, t) op = [op[0] & 2, t.value];\r\n switch (op[0]) {\r\n case 0: case 1: t = op; break;\r\n case 4: _.label++; return { value: op[1], done: false };\r\n case 5: _.label++; y = op[1]; op = [0]; continue;\r\n case 7: op = _.ops.pop(); _.trys.pop(); continue;\r\n default:\r\n if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\r\n if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\r\n if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\r\n if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\r\n if (t[2]) _.ops.pop();\r\n _.trys.pop(); continue;\r\n }\r\n op = body.call(thisArg, _);\r\n } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\r\n if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\r\n }\r\n}\r\n\r\nexport var __createBinding = Object.create ? (function(o, m, k, k2) {\r\n if (k2 === undefined) k2 = k;\r\n var desc = Object.getOwnPropertyDescriptor(m, k);\r\n if (!desc || (\"get\" in desc ? !m.__esModule : desc.writable || desc.configurable)) {\r\n desc = { enumerable: true, get: function() { return m[k]; } };\r\n }\r\n Object.defineProperty(o, k2, desc);\r\n}) : (function(o, m, k, k2) {\r\n if (k2 === undefined) k2 = k;\r\n o[k2] = m[k];\r\n});\r\n\r\nexport function __exportStar(m, o) {\r\n for (var p in m) if (p !== \"default\" && !Object.prototype.hasOwnProperty.call(o, p)) __createBinding(o, m, p);\r\n}\r\n\r\nexport function __values(o) {\r\n var s = typeof Symbol === \"function\" && Symbol.iterator, m = s && o[s], i = 0;\r\n if (m) return m.call(o);\r\n if (o && typeof o.length === \"number\") return {\r\n next: function () {\r\n if (o && i >= o.length) o = void 0;\r\n return { value: o && o[i++], done: !o };\r\n }\r\n };\r\n throw new TypeError(s ? \"Object is not iterable.\" : \"Symbol.iterator is not defined.\");\r\n}\r\n\r\nexport function __read(o, n) {\r\n var m = typeof Symbol === \"function\" && o[Symbol.iterator];\r\n if (!m) return o;\r\n var i = m.call(o), r, ar = [], e;\r\n try {\r\n while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);\r\n }\r\n catch (error) { e = { error: error }; }\r\n finally {\r\n try {\r\n if (r && !r.done && (m = i[\"return\"])) m.call(i);\r\n }\r\n finally { if (e) throw e.error; }\r\n }\r\n return ar;\r\n}\r\n\r\n/** @deprecated */\r\nexport function __spread() {\r\n for (var ar = [], i = 0; i < arguments.length; i++)\r\n ar = ar.concat(__read(arguments[i]));\r\n return ar;\r\n}\r\n\r\n/** @deprecated */\r\nexport function __spreadArrays() {\r\n for (var s = 0, i = 0, il = arguments.length; i < il; i++) s += arguments[i].length;\r\n for (var r = Array(s), k = 0, i = 0; i < il; i++)\r\n for (var a = arguments[i], j = 0, jl = a.length; j < jl; j++, k++)\r\n r[k] = a[j];\r\n return r;\r\n}\r\n\r\nexport function __spreadArray(to, from, pack) {\r\n if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {\r\n if (ar || !(i in from)) {\r\n if (!ar) ar = Array.prototype.slice.call(from, 0, i);\r\n ar[i] = from[i];\r\n }\r\n }\r\n return to.concat(ar || Array.prototype.slice.call(from));\r\n}\r\n\r\nexport function __await(v) {\r\n return this instanceof __await ? (this.v = v, this) : new __await(v);\r\n}\r\n\r\nexport function __asyncGenerator(thisArg, _arguments, generator) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var g = generator.apply(thisArg, _arguments || []), i, q = [];\r\n return i = Object.create((typeof AsyncIterator === \"function\" ? AsyncIterator : Object).prototype), verb(\"next\"), verb(\"throw\"), verb(\"return\", awaitReturn), i[Symbol.asyncIterator] = function () { return this; }, i;\r\n function awaitReturn(f) { return function (v) { return Promise.resolve(v).then(f, reject); }; }\r\n function verb(n, f) { if (g[n]) { i[n] = function (v) { return new Promise(function (a, b) { q.push([n, v, a, b]) > 1 || resume(n, v); }); }; if (f) i[n] = f(i[n]); } }\r\n function resume(n, v) { try { step(g[n](v)); } catch (e) { settle(q[0][3], e); } }\r\n function step(r) { r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r); }\r\n function fulfill(value) { resume(\"next\", value); }\r\n function reject(value) { resume(\"throw\", value); }\r\n function settle(f, v) { if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]); }\r\n}\r\n\r\nexport function __asyncDelegator(o) {\r\n var i, p;\r\n return i = {}, verb(\"next\"), verb(\"throw\", function (e) { throw e; }), verb(\"return\"), i[Symbol.iterator] = function () { return this; }, i;\r\n function verb(n, f) { i[n] = o[n] ? function (v) { return (p = !p) ? { value: __await(o[n](v)), done: false } : f ? f(v) : v; } : f; }\r\n}\r\n\r\nexport function __asyncValues(o) {\r\n if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n var m = o[Symbol.asyncIterator], i;\r\n return m ? m.call(o) : (o = typeof __values === \"function\" ? __values(o) : o[Symbol.iterator](), i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i);\r\n function verb(n) { i[n] = o[n] && function (v) { return new Promise(function (resolve, reject) { v = o[n](v), settle(resolve, reject, v.done, v.value); }); }; }\r\n function settle(resolve, reject, d, v) { Promise.resolve(v).then(function(v) { resolve({ value: v, done: d }); }, reject); }\r\n}\r\n\r\nexport function __makeTemplateObject(cooked, raw) {\r\n if (Object.defineProperty) { Object.defineProperty(cooked, \"raw\", { value: raw }); } else { cooked.raw = raw; }\r\n return cooked;\r\n};\r\n\r\nvar __setModuleDefault = Object.create ? (function(o, v) {\r\n Object.defineProperty(o, \"default\", { enumerable: true, value: v });\r\n}) : function(o, v) {\r\n o[\"default\"] = v;\r\n};\r\n\r\nvar ownKeys = function(o) {\r\n ownKeys = Object.getOwnPropertyNames || function (o) {\r\n var ar = [];\r\n for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;\r\n return ar;\r\n };\r\n return ownKeys(o);\r\n};\r\n\r\nexport function __importStar(mod) {\r\n if (mod && mod.__esModule) return mod;\r\n var result = {};\r\n if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== \"default\") __createBinding(result, mod, k[i]);\r\n __setModuleDefault(result, mod);\r\n return result;\r\n}\r\n\r\nexport function __importDefault(mod) {\r\n return (mod && mod.__esModule) ? mod : { default: mod };\r\n}\r\n\r\nexport function __classPrivateFieldGet(receiver, state, kind, f) {\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\r\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\r\n}\r\n\r\nexport function __classPrivateFieldSet(receiver, state, value, kind, f) {\r\n if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\r\n return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\r\n}\r\n\r\nexport function __classPrivateFieldIn(state, receiver) {\r\n if (receiver === null || (typeof receiver !== \"object\" && typeof receiver !== \"function\")) throw new TypeError(\"Cannot use 'in' operator on non-object\");\r\n return typeof state === \"function\" ? receiver === state : state.has(receiver);\r\n}\r\n\r\nexport function __addDisposableResource(env, value, async) {\r\n if (value !== null && value !== void 0) {\r\n if (typeof value !== \"object\" && typeof value !== \"function\") throw new TypeError(\"Object expected.\");\r\n var dispose, inner;\r\n if (async) {\r\n if (!Symbol.asyncDispose) throw new TypeError(\"Symbol.asyncDispose is not defined.\");\r\n dispose = value[Symbol.asyncDispose];\r\n }\r\n if (dispose === void 0) {\r\n if (!Symbol.dispose) throw new TypeError(\"Symbol.dispose is not defined.\");\r\n dispose = value[Symbol.dispose];\r\n if (async) inner = dispose;\r\n }\r\n if (typeof dispose !== \"function\") throw new TypeError(\"Object not disposable.\");\r\n if (inner) dispose = function() { try { inner.call(this); } catch (e) { return Promise.reject(e); } };\r\n env.stack.push({ value: value, dispose: dispose, async: async });\r\n }\r\n else if (async) {\r\n env.stack.push({ async: true });\r\n }\r\n return value;\r\n\r\n}\r\n\r\nvar _SuppressedError = typeof SuppressedError === \"function\" ? SuppressedError : function (error, suppressed, message) {\r\n var e = new Error(message);\r\n return e.name = \"SuppressedError\", e.error = error, e.suppressed = suppressed, e;\r\n};\r\n\r\nexport function __disposeResources(env) {\r\n function fail(e) {\r\n env.error = env.hasError ? new _SuppressedError(e, env.error, \"An error was suppressed during disposal.\") : e;\r\n env.hasError = true;\r\n }\r\n var r, s = 0;\r\n function next() {\r\n while (r = env.stack.pop()) {\r\n try {\r\n if (!r.async && s === 1) return s = 0, env.stack.push(r), Promise.resolve().then(next);\r\n if (r.dispose) {\r\n var result = r.dispose.call(r.value);\r\n if (r.async) return s |= 2, Promise.resolve(result).then(next, function(e) { fail(e); return next(); });\r\n }\r\n else s |= 1;\r\n }\r\n catch (e) {\r\n fail(e);\r\n }\r\n }\r\n if (s === 1) return env.hasError ? Promise.reject(env.error) : Promise.resolve();\r\n if (env.hasError) throw env.error;\r\n }\r\n return next();\r\n}\r\n\r\nexport function __rewriteRelativeImportExtension(path, preserveJsx) {\r\n if (typeof path === \"string\" && /^\\.\\.?\\//.test(path)) {\r\n return path.replace(/\\.(tsx)$|((?:\\.d)?)((?:\\.[^./]+?)?)\\.([cm]?)ts$/i, function (m, tsx, d, ext, cm) {\r\n return tsx ? preserveJsx ? \".jsx\" : \".js\" : d && (!ext || !cm) ? m : (d + ext + \".\" + cm.toLowerCase() + \"js\");\r\n });\r\n }\r\n return path;\r\n}\r\n\r\nexport default {\r\n __extends: __extends,\r\n __assign: __assign,\r\n __rest: __rest,\r\n __decorate: __decorate,\r\n __param: __param,\r\n __esDecorate: __esDecorate,\r\n __runInitializers: __runInitializers,\r\n __propKey: __propKey,\r\n __setFunctionName: __setFunctionName,\r\n __metadata: __metadata,\r\n __awaiter: __awaiter,\r\n __generator: __generator,\r\n __createBinding: __createBinding,\r\n __exportStar: __exportStar,\r\n __values: __values,\r\n __read: __read,\r\n __spread: __spread,\r\n __spreadArrays: __spreadArrays,\r\n __spreadArray: __spreadArray,\r\n __await: __await,\r\n __asyncGenerator: __asyncGenerator,\r\n __asyncDelegator: __asyncDelegator,\r\n __asyncValues: __asyncValues,\r\n __makeTemplateObject: __makeTemplateObject,\r\n __importStar: __importStar,\r\n __importDefault: __importDefault,\r\n __classPrivateFieldGet: __classPrivateFieldGet,\r\n __classPrivateFieldSet: __classPrivateFieldSet,\r\n __classPrivateFieldIn: __classPrivateFieldIn,\r\n __addDisposableResource: __addDisposableResource,\r\n __disposeResources: __disposeResources,\r\n __rewriteRelativeImportExtension: __rewriteRelativeImportExtension,\r\n};\r\n","function __classPrivateFieldSet(receiver, state, value, kind, f) {\n if (kind === \"m\")\n throw new TypeError(\"Private method is not writable\");\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a setter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\n return kind === \"a\" ? f.call(receiver, value) : f ? (f.value = value) : state.set(receiver, value), value;\n}\nfunction __classPrivateFieldGet(receiver, state, kind, f) {\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a getter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\n}\nexport { __classPrivateFieldSet, __classPrivateFieldGet };\n","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * https://stackoverflow.com/a/2117523\n */\nexport let uuid4 = function () {\n const { crypto } = globalThis;\n if (crypto?.randomUUID) {\n uuid4 = crypto.randomUUID.bind(crypto);\n return crypto.randomUUID();\n }\n const u8 = new Uint8Array(1);\n const randomByte = crypto ? () => crypto.getRandomValues(u8)[0] : () => (Math.random() * 0xff) & 0xff;\n return '10000000-1000-4000-8000-100000000000'.replace(/[018]/g, (c) => (+c ^ (randomByte() & (15 >> (+c / 4)))).toString(16));\n};\n//# sourceMappingURL=uuid.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function isAbortError(err) {\n return (typeof err === 'object' &&\n err !== null &&\n // Spec-compliant fetch implementations\n (('name' in err && err.name === 'AbortError') ||\n // Expo fetch\n ('message' in err && String(err.message).includes('FetchRequestCanceledException'))));\n}\nexport const castToError = (err) => {\n if (err instanceof Error)\n return err;\n if (typeof err === 'object' && err !== null) {\n try {\n if (Object.prototype.toString.call(err) === '[object Error]') {\n // @ts-ignore - not all envs have native support for cause yet\n const error = new Error(err.message, err.cause ? { cause: err.cause } : {});\n if (err.stack)\n error.stack = err.stack;\n // @ts-ignore - not all envs have native support for cause yet\n if (err.cause && !error.cause)\n error.cause = err.cause;\n if (err.name)\n error.name = err.name;\n return error;\n }\n }\n catch { }\n try {\n return new Error(JSON.stringify(err));\n }\n catch { }\n }\n return new Error(err);\n};\n//# sourceMappingURL=errors.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { castToError } from \"../internal/errors.mjs\";\nexport class OpenAIError extends Error {\n}\nexport class APIError extends OpenAIError {\n constructor(status, error, message, headers) {\n super(`${APIError.makeMessage(status, error, message)}`);\n this.status = status;\n this.headers = headers;\n this.requestID = headers?.get('x-request-id');\n this.error = error;\n const data = error;\n this.code = data?.['code'];\n this.param = data?.['param'];\n this.type = data?.['type'];\n }\n static makeMessage(status, error, message) {\n const msg = error?.message ?\n typeof error.message === 'string' ?\n error.message\n : JSON.stringify(error.message)\n : error ? JSON.stringify(error)\n : message;\n if (status && msg) {\n return `${status} ${msg}`;\n }\n if (status) {\n return `${status} status code (no body)`;\n }\n if (msg) {\n return msg;\n }\n return '(no status code or body)';\n }\n static generate(status, errorResponse, message, headers) {\n if (!status || !headers) {\n return new APIConnectionError({ message, cause: castToError(errorResponse) });\n }\n const error = errorResponse?.['error'];\n if (status === 400) {\n return new BadRequestError(status, error, message, headers);\n }\n if (status === 401) {\n return new AuthenticationError(status, error, message, headers);\n }\n if (status === 403) {\n return new PermissionDeniedError(status, error, message, headers);\n }\n if (status === 404) {\n return new NotFoundError(status, error, message, headers);\n }\n if (status === 409) {\n return new ConflictError(status, error, message, headers);\n }\n if (status === 422) {\n return new UnprocessableEntityError(status, error, message, headers);\n }\n if (status === 429) {\n return new RateLimitError(status, error, message, headers);\n }\n if (status >= 500) {\n return new InternalServerError(status, error, message, headers);\n }\n return new APIError(status, error, message, headers);\n }\n}\nexport class APIUserAbortError extends APIError {\n constructor({ message } = {}) {\n super(undefined, undefined, message || 'Request was aborted.', undefined);\n }\n}\nexport class APIConnectionError extends APIError {\n constructor({ message, cause }) {\n super(undefined, undefined, message || 'Connection error.', undefined);\n // in some environments the 'cause' property is already declared\n // @ts-ignore\n if (cause)\n this.cause = cause;\n }\n}\nexport class APIConnectionTimeoutError extends APIConnectionError {\n constructor({ message } = {}) {\n super({ message: message ?? 'Request timed out.' });\n }\n}\nexport class BadRequestError extends APIError {\n}\nexport class AuthenticationError extends APIError {\n}\nexport class PermissionDeniedError extends APIError {\n}\nexport class NotFoundError extends APIError {\n}\nexport class ConflictError extends APIError {\n}\nexport class UnprocessableEntityError extends APIError {\n}\nexport class RateLimitError extends APIError {\n}\nexport class InternalServerError extends APIError {\n}\nexport class LengthFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the length limit was reached`);\n }\n}\nexport class ContentFilterFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the request was rejected by the content filter`);\n }\n}\nexport class InvalidWebhookSignatureError extends Error {\n constructor(message) {\n super(message);\n }\n}\n//# sourceMappingURL=error.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\n// https://url.spec.whatwg.org/#url-scheme-string\nconst startsWithSchemeRegexp = /^[a-z][a-z0-9+.-]*:/i;\nexport const isAbsoluteURL = (url) => {\n return startsWithSchemeRegexp.test(url);\n};\nexport let isArray = (val) => ((isArray = Array.isArray), isArray(val));\nexport let isReadonlyArray = isArray;\n/** Returns an object if the given value isn't an object, otherwise returns as-is */\nexport function maybeObj(x) {\n if (typeof x !== 'object') {\n return {};\n }\n return x ?? {};\n}\n// https://stackoverflow.com/a/34491287\nexport function isEmptyObj(obj) {\n if (!obj)\n return true;\n for (const _k in obj)\n return false;\n return true;\n}\n// https://eslint.org/docs/latest/rules/no-prototype-builtins\nexport function hasOwn(obj, key) {\n return Object.prototype.hasOwnProperty.call(obj, key);\n}\nexport function isObj(obj) {\n return obj != null && typeof obj === 'object' && !Array.isArray(obj);\n}\nexport const ensurePresent = (value) => {\n if (value == null) {\n throw new OpenAIError(`Expected a value to be given but received ${value} instead.`);\n }\n return value;\n};\nexport const validatePositiveInteger = (name, n) => {\n if (typeof n !== 'number' || !Number.isInteger(n)) {\n throw new OpenAIError(`${name} must be an integer`);\n }\n if (n < 0) {\n throw new OpenAIError(`${name} must be a positive integer`);\n }\n return n;\n};\nexport const coerceInteger = (value) => {\n if (typeof value === 'number')\n return Math.round(value);\n if (typeof value === 'string')\n return parseInt(value, 10);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceFloat = (value) => {\n if (typeof value === 'number')\n return value;\n if (typeof value === 'string')\n return parseFloat(value);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceBoolean = (value) => {\n if (typeof value === 'boolean')\n return value;\n if (typeof value === 'string')\n return value === 'true';\n return Boolean(value);\n};\nexport const maybeCoerceInteger = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceInteger(value);\n};\nexport const maybeCoerceFloat = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceFloat(value);\n};\nexport const maybeCoerceBoolean = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceBoolean(value);\n};\nexport const safeJSON = (text) => {\n try {\n return JSON.parse(text);\n }\n catch (err) {\n return undefined;\n }\n};\n//# sourceMappingURL=values.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));\n//# sourceMappingURL=sleep.mjs.map","export const VERSION = '5.23.2'; // x-release-please-version\n//# sourceMappingURL=version.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { VERSION } from \"../version.mjs\";\nexport const isRunningInBrowser = () => {\n return (\n // @ts-ignore\n typeof window !== 'undefined' &&\n // @ts-ignore\n typeof window.document !== 'undefined' &&\n // @ts-ignore\n typeof navigator !== 'undefined');\n};\n/**\n * Note this does not detect 'browser'; for that, use getBrowserInfo().\n */\nfunction getDetectedPlatform() {\n if (typeof Deno !== 'undefined' && Deno.build != null) {\n return 'deno';\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return 'edge';\n }\n if (Object.prototype.toString.call(typeof globalThis.process !== 'undefined' ? globalThis.process : 0) === '[object process]') {\n return 'node';\n }\n return 'unknown';\n}\nconst getPlatformProperties = () => {\n const detectedPlatform = getDetectedPlatform();\n if (detectedPlatform === 'deno') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(Deno.build.os),\n 'X-Stainless-Arch': normalizeArch(Deno.build.arch),\n 'X-Stainless-Runtime': 'deno',\n 'X-Stainless-Runtime-Version': typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown',\n };\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': `other:${EdgeRuntime}`,\n 'X-Stainless-Runtime': 'edge',\n 'X-Stainless-Runtime-Version': globalThis.process.version,\n };\n }\n // Check if Node.js\n if (detectedPlatform === 'node') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(globalThis.process.platform ?? 'unknown'),\n 'X-Stainless-Arch': normalizeArch(globalThis.process.arch ?? 'unknown'),\n 'X-Stainless-Runtime': 'node',\n 'X-Stainless-Runtime-Version': globalThis.process.version ?? 'unknown',\n };\n }\n const browserInfo = getBrowserInfo();\n if (browserInfo) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': `browser:${browserInfo.browser}`,\n 'X-Stainless-Runtime-Version': browserInfo.version,\n };\n }\n // TODO add support for Cloudflare workers, etc.\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': 'unknown',\n 'X-Stainless-Runtime-Version': 'unknown',\n };\n};\n// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts\nfunction getBrowserInfo() {\n if (typeof navigator === 'undefined' || !navigator) {\n return null;\n }\n // NOTE: The order matters here!\n const browserPatterns = [\n { key: 'edge', pattern: /Edge(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /MSIE(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /Trident(?:.*rv\\:(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'chrome', pattern: /Chrome(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'firefox', pattern: /Firefox(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'safari', pattern: /(?:Version\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?(?:\\W+Mobile\\S*)?\\W+Safari/ },\n ];\n // Find the FIRST matching browser\n for (const { key, pattern } of browserPatterns) {\n const match = pattern.exec(navigator.userAgent);\n if (match) {\n const major = match[1] || 0;\n const minor = match[2] || 0;\n const patch = match[3] || 0;\n return { browser: key, version: `${major}.${minor}.${patch}` };\n }\n }\n return null;\n}\nconst normalizeArch = (arch) => {\n // Node docs:\n // - https://nodejs.org/api/process.html#processarch\n // Deno docs:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n if (arch === 'x32')\n return 'x32';\n if (arch === 'x86_64' || arch === 'x64')\n return 'x64';\n if (arch === 'arm')\n return 'arm';\n if (arch === 'aarch64' || arch === 'arm64')\n return 'arm64';\n if (arch)\n return `other:${arch}`;\n return 'unknown';\n};\nconst normalizePlatform = (platform) => {\n // Node platforms:\n // - https://nodejs.org/api/process.html#processplatform\n // Deno platforms:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n // - https://github.com/denoland/deno/issues/14799\n platform = platform.toLowerCase();\n // NOTE: this iOS check is untested and may not work\n // Node does not work natively on IOS, there is a fork at\n // https://github.com/nodejs-mobile/nodejs-mobile\n // however it is unknown at the time of writing how to detect if it is running\n if (platform.includes('ios'))\n return 'iOS';\n if (platform === 'android')\n return 'Android';\n if (platform === 'darwin')\n return 'MacOS';\n if (platform === 'win32')\n return 'Windows';\n if (platform === 'freebsd')\n return 'FreeBSD';\n if (platform === 'openbsd')\n return 'OpenBSD';\n if (platform === 'linux')\n return 'Linux';\n if (platform)\n return `Other:${platform}`;\n return 'Unknown';\n};\nlet _platformHeaders;\nexport const getPlatformHeaders = () => {\n return (_platformHeaders ?? (_platformHeaders = getPlatformProperties()));\n};\n//# sourceMappingURL=detect-platform.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function getDefaultFetch() {\n if (typeof fetch !== 'undefined') {\n return fetch;\n }\n throw new Error('`fetch` is not defined as a global; Either pass `fetch` to the client, `new OpenAI({ fetch })` or polyfill the global, `globalThis.fetch = fetch`');\n}\nexport function makeReadableStream(...args) {\n const ReadableStream = globalThis.ReadableStream;\n if (typeof ReadableStream === 'undefined') {\n // Note: All of the platforms / runtimes we officially support already define\n // `ReadableStream` as a global, so this should only ever be hit on unsupported runtimes.\n throw new Error('`ReadableStream` is not defined as a global; You will need to polyfill it, `globalThis.ReadableStream = ReadableStream`');\n }\n return new ReadableStream(...args);\n}\nexport function ReadableStreamFrom(iterable) {\n let iter = Symbol.asyncIterator in iterable ? iterable[Symbol.asyncIterator]() : iterable[Symbol.iterator]();\n return makeReadableStream({\n start() { },\n async pull(controller) {\n const { done, value } = await iter.next();\n if (done) {\n controller.close();\n }\n else {\n controller.enqueue(value);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n}\n/**\n * Most browsers don't yet have async iterable support for ReadableStream,\n * and Node has a very different way of reading bytes from its \"ReadableStream\".\n *\n * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490\n */\nexport function ReadableStreamToAsyncIterable(stream) {\n if (stream[Symbol.asyncIterator])\n return stream;\n const reader = stream.getReader();\n return {\n async next() {\n try {\n const result = await reader.read();\n if (result?.done)\n reader.releaseLock(); // release lock when stream becomes closed\n return result;\n }\n catch (e) {\n reader.releaseLock(); // release lock when stream becomes errored\n throw e;\n }\n },\n async return() {\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n return { done: true, value: undefined };\n },\n [Symbol.asyncIterator]() {\n return this;\n },\n };\n}\n/**\n * Cancels a ReadableStream we don't need to consume.\n * See https://undici.nodejs.org/#/?id=garbage-collection\n */\nexport async function CancelReadableStream(stream) {\n if (stream === null || typeof stream !== 'object')\n return;\n if (stream[Symbol.asyncIterator]) {\n await stream[Symbol.asyncIterator]().return?.();\n return;\n }\n const reader = stream.getReader();\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n}\n//# sourceMappingURL=shims.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const FallbackEncoder = ({ headers, body }) => {\n return {\n bodyHeaders: {\n 'content-type': 'application/json',\n },\n body: JSON.stringify(body),\n };\n};\n//# sourceMappingURL=request-options.mjs.map","export const default_format = 'RFC3986';\nexport const default_formatter = (v) => String(v);\nexport const formatters = {\n RFC1738: (v) => String(v).replace(/%20/g, '+'),\n RFC3986: default_formatter,\n};\nexport const RFC1738 = 'RFC1738';\nexport const RFC3986 = 'RFC3986';\n//# sourceMappingURL=formats.mjs.map","import { RFC1738 } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nexport let has = (obj, key) => ((has = Object.hasOwn ?? Function.prototype.call.bind(Object.prototype.hasOwnProperty)),\n has(obj, key));\nconst hex_table = /* @__PURE__ */ (() => {\n const array = [];\n for (let i = 0; i < 256; ++i) {\n array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase());\n }\n return array;\n})();\nfunction compact_queue(queue) {\n while (queue.length > 1) {\n const item = queue.pop();\n if (!item)\n continue;\n const obj = item.obj[item.prop];\n if (isArray(obj)) {\n const compacted = [];\n for (let j = 0; j < obj.length; ++j) {\n if (typeof obj[j] !== 'undefined') {\n compacted.push(obj[j]);\n }\n }\n // @ts-ignore\n item.obj[item.prop] = compacted;\n }\n }\n}\nfunction array_to_object(source, options) {\n const obj = options && options.plainObjects ? Object.create(null) : {};\n for (let i = 0; i < source.length; ++i) {\n if (typeof source[i] !== 'undefined') {\n obj[i] = source[i];\n }\n }\n return obj;\n}\nexport function merge(target, source, options = {}) {\n if (!source) {\n return target;\n }\n if (typeof source !== 'object') {\n if (isArray(target)) {\n target.push(source);\n }\n else if (target && typeof target === 'object') {\n if ((options && (options.plainObjects || options.allowPrototypes)) || !has(Object.prototype, source)) {\n target[source] = true;\n }\n }\n else {\n return [target, source];\n }\n return target;\n }\n if (!target || typeof target !== 'object') {\n return [target].concat(source);\n }\n let mergeTarget = target;\n if (isArray(target) && !isArray(source)) {\n // @ts-ignore\n mergeTarget = array_to_object(target, options);\n }\n if (isArray(target) && isArray(source)) {\n source.forEach(function (item, i) {\n if (has(target, i)) {\n const targetItem = target[i];\n if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') {\n target[i] = merge(targetItem, item, options);\n }\n else {\n target.push(item);\n }\n }\n else {\n target[i] = item;\n }\n });\n return target;\n }\n return Object.keys(source).reduce(function (acc, key) {\n const value = source[key];\n if (has(acc, key)) {\n acc[key] = merge(acc[key], value, options);\n }\n else {\n acc[key] = value;\n }\n return acc;\n }, mergeTarget);\n}\nexport function assign_single_source(target, source) {\n return Object.keys(source).reduce(function (acc, key) {\n acc[key] = source[key];\n return acc;\n }, target);\n}\nexport function decode(str, _, charset) {\n const strWithoutPlus = str.replace(/\\+/g, ' ');\n if (charset === 'iso-8859-1') {\n // unescape never throws, no try...catch needed:\n return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape);\n }\n // utf-8\n try {\n return decodeURIComponent(strWithoutPlus);\n }\n catch (e) {\n return strWithoutPlus;\n }\n}\nconst limit = 1024;\nexport const encode = (str, _defaultEncoder, charset, _kind, format) => {\n // This code was originally written by Brian White for the io.js core querystring library.\n // It has been adapted here for stricter adherence to RFC 3986\n if (str.length === 0) {\n return str;\n }\n let string = str;\n if (typeof str === 'symbol') {\n string = Symbol.prototype.toString.call(str);\n }\n else if (typeof str !== 'string') {\n string = String(str);\n }\n if (charset === 'iso-8859-1') {\n return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) {\n return '%26%23' + parseInt($0.slice(2), 16) + '%3B';\n });\n }\n let out = '';\n for (let j = 0; j < string.length; j += limit) {\n const segment = string.length >= limit ? string.slice(j, j + limit) : string;\n const arr = [];\n for (let i = 0; i < segment.length; ++i) {\n let c = segment.charCodeAt(i);\n if (c === 0x2d || // -\n c === 0x2e || // .\n c === 0x5f || // _\n c === 0x7e || // ~\n (c >= 0x30 && c <= 0x39) || // 0-9\n (c >= 0x41 && c <= 0x5a) || // a-z\n (c >= 0x61 && c <= 0x7a) || // A-Z\n (format === RFC1738 && (c === 0x28 || c === 0x29)) // ( )\n ) {\n arr[arr.length] = segment.charAt(i);\n continue;\n }\n if (c < 0x80) {\n arr[arr.length] = hex_table[c];\n continue;\n }\n if (c < 0x800) {\n arr[arr.length] = hex_table[0xc0 | (c >> 6)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n if (c < 0xd800 || c >= 0xe000) {\n arr[arr.length] =\n hex_table[0xe0 | (c >> 12)] + hex_table[0x80 | ((c >> 6) & 0x3f)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n i += 1;\n c = 0x10000 + (((c & 0x3ff) << 10) | (segment.charCodeAt(i) & 0x3ff));\n arr[arr.length] =\n hex_table[0xf0 | (c >> 18)] +\n hex_table[0x80 | ((c >> 12) & 0x3f)] +\n hex_table[0x80 | ((c >> 6) & 0x3f)] +\n hex_table[0x80 | (c & 0x3f)];\n }\n out += arr.join('');\n }\n return out;\n};\nexport function compact(value) {\n const queue = [{ obj: { o: value }, prop: 'o' }];\n const refs = [];\n for (let i = 0; i < queue.length; ++i) {\n const item = queue[i];\n // @ts-ignore\n const obj = item.obj[item.prop];\n const keys = Object.keys(obj);\n for (let j = 0; j < keys.length; ++j) {\n const key = keys[j];\n const val = obj[key];\n if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) {\n queue.push({ obj: obj, prop: key });\n refs.push(val);\n }\n }\n }\n compact_queue(queue);\n return value;\n}\nexport function is_regexp(obj) {\n return Object.prototype.toString.call(obj) === '[object RegExp]';\n}\nexport function is_buffer(obj) {\n if (!obj || typeof obj !== 'object') {\n return false;\n }\n return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj));\n}\nexport function combine(a, b) {\n return [].concat(a, b);\n}\nexport function maybe_map(val, fn) {\n if (isArray(val)) {\n const mapped = [];\n for (let i = 0; i < val.length; i += 1) {\n mapped.push(fn(val[i]));\n }\n return mapped;\n }\n return fn(val);\n}\n//# sourceMappingURL=utils.mjs.map","import { encode, is_buffer, maybe_map, has } from \"./utils.mjs\";\nimport { default_format, default_formatter, formatters } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nconst array_prefix_generators = {\n brackets(prefix) {\n return String(prefix) + '[]';\n },\n comma: 'comma',\n indices(prefix, key) {\n return String(prefix) + '[' + key + ']';\n },\n repeat(prefix) {\n return String(prefix);\n },\n};\nconst push_to_array = function (arr, value_or_array) {\n Array.prototype.push.apply(arr, isArray(value_or_array) ? value_or_array : [value_or_array]);\n};\nlet toISOString;\nconst defaults = {\n addQueryPrefix: false,\n allowDots: false,\n allowEmptyArrays: false,\n arrayFormat: 'indices',\n charset: 'utf-8',\n charsetSentinel: false,\n delimiter: '&',\n encode: true,\n encodeDotInKeys: false,\n encoder: encode,\n encodeValuesOnly: false,\n format: default_format,\n formatter: default_formatter,\n /** @deprecated */\n indices: false,\n serializeDate(date) {\n return (toISOString ?? (toISOString = Function.prototype.call.bind(Date.prototype.toISOString)))(date);\n },\n skipNulls: false,\n strictNullHandling: false,\n};\nfunction is_non_nullish_primitive(v) {\n return (typeof v === 'string' ||\n typeof v === 'number' ||\n typeof v === 'boolean' ||\n typeof v === 'symbol' ||\n typeof v === 'bigint');\n}\nconst sentinel = {};\nfunction inner_stringify(object, prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, sideChannel) {\n let obj = object;\n let tmp_sc = sideChannel;\n let step = 0;\n let find_flag = false;\n while ((tmp_sc = tmp_sc.get(sentinel)) !== void undefined && !find_flag) {\n // Where object last appeared in the ref tree\n const pos = tmp_sc.get(object);\n step += 1;\n if (typeof pos !== 'undefined') {\n if (pos === step) {\n throw new RangeError('Cyclic object value');\n }\n else {\n find_flag = true; // Break while\n }\n }\n if (typeof tmp_sc.get(sentinel) === 'undefined') {\n step = 0;\n }\n }\n if (typeof filter === 'function') {\n obj = filter(prefix, obj);\n }\n else if (obj instanceof Date) {\n obj = serializeDate?.(obj);\n }\n else if (generateArrayPrefix === 'comma' && isArray(obj)) {\n obj = maybe_map(obj, function (value) {\n if (value instanceof Date) {\n return serializeDate?.(value);\n }\n return value;\n });\n }\n if (obj === null) {\n if (strictNullHandling) {\n return encoder && !encodeValuesOnly ?\n // @ts-expect-error\n encoder(prefix, defaults.encoder, charset, 'key', format)\n : prefix;\n }\n obj = '';\n }\n if (is_non_nullish_primitive(obj) || is_buffer(obj)) {\n if (encoder) {\n const key_value = encodeValuesOnly ? prefix\n // @ts-expect-error\n : encoder(prefix, defaults.encoder, charset, 'key', format);\n return [\n formatter?.(key_value) +\n '=' +\n // @ts-expect-error\n formatter?.(encoder(obj, defaults.encoder, charset, 'value', format)),\n ];\n }\n return [formatter?.(prefix) + '=' + formatter?.(String(obj))];\n }\n const values = [];\n if (typeof obj === 'undefined') {\n return values;\n }\n let obj_keys;\n if (generateArrayPrefix === 'comma' && isArray(obj)) {\n // we need to join elements in\n if (encodeValuesOnly && encoder) {\n // @ts-expect-error values only\n obj = maybe_map(obj, encoder);\n }\n obj_keys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }];\n }\n else if (isArray(filter)) {\n obj_keys = filter;\n }\n else {\n const keys = Object.keys(obj);\n obj_keys = sort ? keys.sort(sort) : keys;\n }\n const encoded_prefix = encodeDotInKeys ? String(prefix).replace(/\\./g, '%2E') : String(prefix);\n const adjusted_prefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? encoded_prefix + '[]' : encoded_prefix;\n if (allowEmptyArrays && isArray(obj) && obj.length === 0) {\n return adjusted_prefix + '[]';\n }\n for (let j = 0; j < obj_keys.length; ++j) {\n const key = obj_keys[j];\n const value = \n // @ts-ignore\n typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key];\n if (skipNulls && value === null) {\n continue;\n }\n // @ts-ignore\n const encoded_key = allowDots && encodeDotInKeys ? key.replace(/\\./g, '%2E') : key;\n const key_prefix = isArray(obj) ?\n typeof generateArrayPrefix === 'function' ?\n generateArrayPrefix(adjusted_prefix, encoded_key)\n : adjusted_prefix\n : adjusted_prefix + (allowDots ? '.' + encoded_key : '[' + encoded_key + ']');\n sideChannel.set(object, step);\n const valueSideChannel = new WeakMap();\n valueSideChannel.set(sentinel, sideChannel);\n push_to_array(values, inner_stringify(value, key_prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, \n // @ts-ignore\n generateArrayPrefix === 'comma' && encodeValuesOnly && isArray(obj) ? null : encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, valueSideChannel));\n }\n return values;\n}\nfunction normalize_stringify_options(opts = defaults) {\n if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n }\n if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') {\n throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided');\n }\n if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') {\n throw new TypeError('Encoder has to be a function.');\n }\n const charset = opts.charset || defaults.charset;\n if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n }\n let format = default_format;\n if (typeof opts.format !== 'undefined') {\n if (!has(formatters, opts.format)) {\n throw new TypeError('Unknown format option provided.');\n }\n format = opts.format;\n }\n const formatter = formatters[format];\n let filter = defaults.filter;\n if (typeof opts.filter === 'function' || isArray(opts.filter)) {\n filter = opts.filter;\n }\n let arrayFormat;\n if (opts.arrayFormat && opts.arrayFormat in array_prefix_generators) {\n arrayFormat = opts.arrayFormat;\n }\n else if ('indices' in opts) {\n arrayFormat = opts.indices ? 'indices' : 'repeat';\n }\n else {\n arrayFormat = defaults.arrayFormat;\n }\n if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') {\n throw new TypeError('`commaRoundTrip` must be a boolean, or absent');\n }\n const allowDots = typeof opts.allowDots === 'undefined' ?\n !!opts.encodeDotInKeys === true ?\n true\n : defaults.allowDots\n : !!opts.allowDots;\n return {\n addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix,\n // @ts-ignore\n allowDots: allowDots,\n allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n arrayFormat: arrayFormat,\n charset: charset,\n charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n commaRoundTrip: !!opts.commaRoundTrip,\n delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter,\n encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode,\n encodeDotInKeys: typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys,\n encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder,\n encodeValuesOnly: typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly,\n filter: filter,\n format: format,\n formatter: formatter,\n serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate,\n skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls,\n // @ts-ignore\n sort: typeof opts.sort === 'function' ? opts.sort : null,\n strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling,\n };\n}\nexport function stringify(object, opts = {}) {\n let obj = object;\n const options = normalize_stringify_options(opts);\n let obj_keys;\n let filter;\n if (typeof options.filter === 'function') {\n filter = options.filter;\n obj = filter('', obj);\n }\n else if (isArray(options.filter)) {\n filter = options.filter;\n obj_keys = filter;\n }\n const keys = [];\n if (typeof obj !== 'object' || obj === null) {\n return '';\n }\n const generateArrayPrefix = array_prefix_generators[options.arrayFormat];\n const commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip;\n if (!obj_keys) {\n obj_keys = Object.keys(obj);\n }\n if (options.sort) {\n obj_keys.sort(options.sort);\n }\n const sideChannel = new WeakMap();\n for (let i = 0; i < obj_keys.length; ++i) {\n const key = obj_keys[i];\n if (options.skipNulls && obj[key] === null) {\n continue;\n }\n push_to_array(keys, inner_stringify(obj[key], key, \n // @ts-expect-error\n generateArrayPrefix, commaRoundTrip, options.allowEmptyArrays, options.strictNullHandling, options.skipNulls, options.encodeDotInKeys, options.encode ? options.encoder : null, options.filter, options.sort, options.allowDots, options.serializeDate, options.format, options.formatter, options.encodeValuesOnly, options.charset, sideChannel));\n }\n const joined = keys.join(options.delimiter);\n let prefix = options.addQueryPrefix === true ? '?' : '';\n if (options.charsetSentinel) {\n if (options.charset === 'iso-8859-1') {\n // encodeURIComponent('✓'), the \"numeric entity\" representation of a checkmark\n prefix += 'utf8=%26%2310003%3B&';\n }\n else {\n // encodeURIComponent('✓')\n prefix += 'utf8=%E2%9C%93&';\n }\n }\n return joined.length > 0 ? prefix + joined : '';\n}\n//# sourceMappingURL=stringify.mjs.map","export function concatBytes(buffers) {\n let length = 0;\n for (const buffer of buffers) {\n length += buffer.length;\n }\n const output = new Uint8Array(length);\n let index = 0;\n for (const buffer of buffers) {\n output.set(buffer, index);\n index += buffer.length;\n }\n return output;\n}\nlet encodeUTF8_;\nexport function encodeUTF8(str) {\n let encoder;\n return (encodeUTF8_ ??\n ((encoder = new globalThis.TextEncoder()), (encodeUTF8_ = encoder.encode.bind(encoder))))(str);\n}\nlet decodeUTF8_;\nexport function decodeUTF8(bytes) {\n let decoder;\n return (decodeUTF8_ ??\n ((decoder = new globalThis.TextDecoder()), (decodeUTF8_ = decoder.decode.bind(decoder))))(bytes);\n}\n//# sourceMappingURL=bytes.mjs.map","var _LineDecoder_buffer, _LineDecoder_carriageReturnIndex;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../tslib.mjs\";\nimport { concatBytes, decodeUTF8, encodeUTF8 } from \"../utils/bytes.mjs\";\n/**\n * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally\n * reading lines from text.\n *\n * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258\n */\nexport class LineDecoder {\n constructor() {\n _LineDecoder_buffer.set(this, void 0);\n _LineDecoder_carriageReturnIndex.set(this, void 0);\n __classPrivateFieldSet(this, _LineDecoder_buffer, new Uint8Array(), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n decode(chunk) {\n if (chunk == null) {\n return [];\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n __classPrivateFieldSet(this, _LineDecoder_buffer, concatBytes([__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), binaryChunk]), \"f\");\n const lines = [];\n let patternIndex;\n while ((patternIndex = findNewlineIndex(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\"))) != null) {\n if (patternIndex.carriage && __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") == null) {\n // skip until we either get a corresponding `\\n`, a new `\\r` or nothing\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, patternIndex.index, \"f\");\n continue;\n }\n // we got double \\r or \\rtext\\n\n if (__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") != null &&\n (patternIndex.index !== __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") + 1 || patternIndex.carriage)) {\n lines.push(decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") - 1)));\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\")), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n continue;\n }\n const endIndex = __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") !== null ? patternIndex.preceding - 1 : patternIndex.preceding;\n const line = decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, endIndex));\n lines.push(line);\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(patternIndex.index), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n return lines;\n }\n flush() {\n if (!__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").length) {\n return [];\n }\n return this.decode('\\n');\n }\n}\n_LineDecoder_buffer = new WeakMap(), _LineDecoder_carriageReturnIndex = new WeakMap();\n// prettier-ignore\nLineDecoder.NEWLINE_CHARS = new Set(['\\n', '\\r']);\nLineDecoder.NEWLINE_REGEXP = /\\r\\n|[\\n\\r]/g;\n/**\n * This function searches the buffer for the end patterns, (\\r or \\n)\n * and returns an object with the index preceding the matched newline and the\n * index after the newline char. `null` is returned if no new line is found.\n *\n * ```ts\n * findNewLineIndex('abc\\ndef') -> { preceding: 2, index: 3 }\n * ```\n */\nfunction findNewlineIndex(buffer, startIndex) {\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = startIndex ?? 0; i < buffer.length; i++) {\n if (buffer[i] === newline) {\n return { preceding: i, index: i + 1, carriage: false };\n }\n if (buffer[i] === carriage) {\n return { preceding: i, index: i + 1, carriage: true };\n }\n }\n return null;\n}\nexport function findDoubleNewlineIndex(buffer) {\n // This function searches the buffer for the end patterns (\\r\\r, \\n\\n, \\r\\n\\r\\n)\n // and returns the index right after the first occurrence of any pattern,\n // or -1 if none of the patterns are found.\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = 0; i < buffer.length - 1; i++) {\n if (buffer[i] === newline && buffer[i + 1] === newline) {\n // \\n\\n\n return i + 2;\n }\n if (buffer[i] === carriage && buffer[i + 1] === carriage) {\n // \\r\\r\n return i + 2;\n }\n if (buffer[i] === carriage &&\n buffer[i + 1] === newline &&\n i + 3 < buffer.length &&\n buffer[i + 2] === carriage &&\n buffer[i + 3] === newline) {\n // \\r\\n\\r\\n\n return i + 4;\n }\n }\n return -1;\n}\n//# sourceMappingURL=line.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { hasOwn } from \"./values.mjs\";\nconst levelNumbers = {\n off: 0,\n error: 200,\n warn: 300,\n info: 400,\n debug: 500,\n};\nexport const parseLogLevel = (maybeLevel, sourceName, client) => {\n if (!maybeLevel) {\n return undefined;\n }\n if (hasOwn(levelNumbers, maybeLevel)) {\n return maybeLevel;\n }\n loggerFor(client).warn(`${sourceName} was set to ${JSON.stringify(maybeLevel)}, expected one of ${JSON.stringify(Object.keys(levelNumbers))}`);\n return undefined;\n};\nfunction noop() { }\nfunction makeLogFn(fnLevel, logger, logLevel) {\n if (!logger || levelNumbers[fnLevel] > levelNumbers[logLevel]) {\n return noop;\n }\n else {\n // Don't wrap logger functions, we want the stacktrace intact!\n return logger[fnLevel].bind(logger);\n }\n}\nconst noopLogger = {\n error: noop,\n warn: noop,\n info: noop,\n debug: noop,\n};\nlet cachedLoggers = /* @__PURE__ */ new WeakMap();\nexport function loggerFor(client) {\n const logger = client.logger;\n const logLevel = client.logLevel ?? 'off';\n if (!logger) {\n return noopLogger;\n }\n const cachedLogger = cachedLoggers.get(logger);\n if (cachedLogger && cachedLogger[0] === logLevel) {\n return cachedLogger[1];\n }\n const levelLogger = {\n error: makeLogFn('error', logger, logLevel),\n warn: makeLogFn('warn', logger, logLevel),\n info: makeLogFn('info', logger, logLevel),\n debug: makeLogFn('debug', logger, logLevel),\n };\n cachedLoggers.set(logger, [logLevel, levelLogger]);\n return levelLogger;\n}\nexport const formatRequestDetails = (details) => {\n if (details.options) {\n details.options = { ...details.options };\n delete details.options['headers']; // redundant + leaks internals\n }\n if (details.headers) {\n details.headers = Object.fromEntries((details.headers instanceof Headers ? [...details.headers] : Object.entries(details.headers)).map(([name, value]) => [\n name,\n (name.toLowerCase() === 'authorization' ||\n name.toLowerCase() === 'cookie' ||\n name.toLowerCase() === 'set-cookie') ?\n '***'\n : value,\n ]));\n }\n if ('retryOfRequestLogID' in details) {\n if (details.retryOfRequestLogID) {\n details.retryOf = details.retryOfRequestLogID;\n }\n delete details.retryOfRequestLogID;\n }\n return details;\n};\n//# sourceMappingURL=log.mjs.map","var _Stream_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { makeReadableStream } from \"../internal/shims.mjs\";\nimport { findDoubleNewlineIndex, LineDecoder } from \"../internal/decoders/line.mjs\";\nimport { ReadableStreamToAsyncIterable } from \"../internal/shims.mjs\";\nimport { isAbortError } from \"../internal/errors.mjs\";\nimport { encodeUTF8 } from \"../internal/utils/bytes.mjs\";\nimport { loggerFor } from \"../internal/utils/log.mjs\";\nimport { APIError } from \"./error.mjs\";\nexport class Stream {\n constructor(iterator, controller, client) {\n this.iterator = iterator;\n _Stream_client.set(this, void 0);\n this.controller = controller;\n __classPrivateFieldSet(this, _Stream_client, client, \"f\");\n }\n static fromSSEResponse(response, controller, client) {\n let consumed = false;\n const logger = client ? loggerFor(client) : console;\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const sse of _iterSSEMessages(response, controller)) {\n if (done)\n continue;\n if (sse.data.startsWith('[DONE]')) {\n done = true;\n continue;\n }\n if (sse.event === null || !sse.event.startsWith('thread.')) {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n logger.error(`Could not parse message into JSON:`, sse.data);\n logger.error(`From chunk:`, sse.raw);\n throw e;\n }\n if (data && data.error) {\n throw new APIError(undefined, data.error, undefined, response.headers);\n }\n yield data;\n }\n else {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n console.error(`Could not parse message into JSON:`, sse.data);\n console.error(`From chunk:`, sse.raw);\n throw e;\n }\n // TODO: Is this where the error should be thrown?\n if (sse.event == 'error') {\n throw new APIError(undefined, data.error, data.message, undefined);\n }\n yield { event: sse.event, data: data };\n }\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n /**\n * Generates a Stream from a newline-separated ReadableStream\n * where each item is a JSON value.\n */\n static fromReadableStream(readableStream, controller, client) {\n let consumed = false;\n async function* iterLines() {\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(readableStream);\n for await (const chunk of iter) {\n for (const line of lineDecoder.decode(chunk)) {\n yield line;\n }\n }\n for (const line of lineDecoder.flush()) {\n yield line;\n }\n }\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const line of iterLines()) {\n if (done)\n continue;\n if (line)\n yield JSON.parse(line);\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n [(_Stream_client = new WeakMap(), Symbol.asyncIterator)]() {\n return this.iterator();\n }\n /**\n * Splits the stream into two streams which can be\n * independently read from at different speeds.\n */\n tee() {\n const left = [];\n const right = [];\n const iterator = this.iterator();\n const teeIterator = (queue) => {\n return {\n next: () => {\n if (queue.length === 0) {\n const result = iterator.next();\n left.push(result);\n right.push(result);\n }\n return queue.shift();\n },\n };\n };\n return [\n new Stream(() => teeIterator(left), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n new Stream(() => teeIterator(right), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n ];\n }\n /**\n * Converts this stream to a newline-separated ReadableStream of\n * JSON stringified values in the stream\n * which can be turned back into a Stream with `Stream.fromReadableStream()`.\n */\n toReadableStream() {\n const self = this;\n let iter;\n return makeReadableStream({\n async start() {\n iter = self[Symbol.asyncIterator]();\n },\n async pull(ctrl) {\n try {\n const { value, done } = await iter.next();\n if (done)\n return ctrl.close();\n const bytes = encodeUTF8(JSON.stringify(value) + '\\n');\n ctrl.enqueue(bytes);\n }\n catch (err) {\n ctrl.error(err);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n }\n}\nexport async function* _iterSSEMessages(response, controller) {\n if (!response.body) {\n controller.abort();\n if (typeof globalThis.navigator !== 'undefined' &&\n globalThis.navigator.product === 'ReactNative') {\n throw new OpenAIError(`The default react-native fetch implementation does not support streaming. Please use expo/fetch: https://docs.expo.dev/versions/latest/sdk/expo/#expofetch-api`);\n }\n throw new OpenAIError(`Attempted to iterate over a response with no body`);\n }\n const sseDecoder = new SSEDecoder();\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(response.body);\n for await (const sseChunk of iterSSEChunks(iter)) {\n for (const line of lineDecoder.decode(sseChunk)) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n }\n for (const line of lineDecoder.flush()) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n}\n/**\n * Given an async iterable iterator, iterates over it and yields full\n * SSE chunks, i.e. yields when a double new-line is encountered.\n */\nasync function* iterSSEChunks(iterator) {\n let data = new Uint8Array();\n for await (const chunk of iterator) {\n if (chunk == null) {\n continue;\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n let newData = new Uint8Array(data.length + binaryChunk.length);\n newData.set(data);\n newData.set(binaryChunk, data.length);\n data = newData;\n let patternIndex;\n while ((patternIndex = findDoubleNewlineIndex(data)) !== -1) {\n yield data.slice(0, patternIndex);\n data = data.slice(patternIndex);\n }\n }\n if (data.length > 0) {\n yield data;\n }\n}\nclass SSEDecoder {\n constructor() {\n this.event = null;\n this.data = [];\n this.chunks = [];\n }\n decode(line) {\n if (line.endsWith('\\r')) {\n line = line.substring(0, line.length - 1);\n }\n if (!line) {\n // empty line and we didn't previously encounter any messages\n if (!this.event && !this.data.length)\n return null;\n const sse = {\n event: this.event,\n data: this.data.join('\\n'),\n raw: this.chunks,\n };\n this.event = null;\n this.data = [];\n this.chunks = [];\n return sse;\n }\n this.chunks.push(line);\n if (line.startsWith(':')) {\n return null;\n }\n let [fieldname, _, value] = partition(line, ':');\n if (value.startsWith(' ')) {\n value = value.substring(1);\n }\n if (fieldname === 'event') {\n this.event = value;\n }\n else if (fieldname === 'data') {\n this.data.push(value);\n }\n return null;\n }\n}\nfunction partition(str, delimiter) {\n const index = str.indexOf(delimiter);\n if (index !== -1) {\n return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)];\n }\n return [str, '', ''];\n}\n//# sourceMappingURL=streaming.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _APIPromise_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { defaultParseResponse, addRequestID, } from \"../internal/parse.mjs\";\n/**\n * A subclass of `Promise` providing additional helper methods\n * for interacting with the SDK.\n */\nexport class APIPromise extends Promise {\n constructor(client, responsePromise, parseResponse = defaultParseResponse) {\n super((resolve) => {\n // this is maybe a bit weird but this has to be a no-op to not implicitly\n // parse the response body; instead .then, .catch, .finally are overridden\n // to parse the response\n resolve(null);\n });\n this.responsePromise = responsePromise;\n this.parseResponse = parseResponse;\n _APIPromise_client.set(this, void 0);\n __classPrivateFieldSet(this, _APIPromise_client, client, \"f\");\n }\n _thenUnwrap(transform) {\n return new APIPromise(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), this.responsePromise, async (client, props) => addRequestID(transform(await this.parseResponse(client, props), props), props.response));\n }\n /**\n * Gets the raw `Response` instance instead of parsing the response\n * data.\n *\n * If you want to parse the response body but still get the `Response`\n * instance, you can use {@link withResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n asResponse() {\n return this.responsePromise.then((p) => p.response);\n }\n /**\n * Gets the parsed response data, the raw `Response` instance and the ID of the request,\n * returned via the X-Request-ID header which is useful for debugging requests and reporting\n * issues to OpenAI.\n *\n * If you just want to get the raw `Response` instance without parsing it,\n * you can use {@link asResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n async withResponse() {\n const [data, response] = await Promise.all([this.parse(), this.asResponse()]);\n return { data, response, request_id: response.headers.get('x-request-id') };\n }\n parse() {\n if (!this.parsedPromise) {\n this.parsedPromise = this.responsePromise.then((data) => this.parseResponse(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), data));\n }\n return this.parsedPromise;\n }\n then(onfulfilled, onrejected) {\n return this.parse().then(onfulfilled, onrejected);\n }\n catch(onrejected) {\n return this.parse().catch(onrejected);\n }\n finally(onfinally) {\n return this.parse().finally(onfinally);\n }\n}\n_APIPromise_client = new WeakMap();\n//# sourceMappingURL=api-promise.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _AbstractPage_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { defaultParseResponse } from \"../internal/parse.mjs\";\nimport { APIPromise } from \"./api-promise.mjs\";\nimport { maybeObj } from \"../internal/utils/values.mjs\";\nexport class AbstractPage {\n constructor(client, response, body, options) {\n _AbstractPage_client.set(this, void 0);\n __classPrivateFieldSet(this, _AbstractPage_client, client, \"f\");\n this.options = options;\n this.response = response;\n this.body = body;\n }\n hasNextPage() {\n const items = this.getPaginatedItems();\n if (!items.length)\n return false;\n return this.nextPageRequestOptions() != null;\n }\n async getNextPage() {\n const nextOptions = this.nextPageRequestOptions();\n if (!nextOptions) {\n throw new OpenAIError('No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.');\n }\n return await __classPrivateFieldGet(this, _AbstractPage_client, \"f\").requestAPIList(this.constructor, nextOptions);\n }\n async *iterPages() {\n let page = this;\n yield page;\n while (page.hasNextPage()) {\n page = await page.getNextPage();\n yield page;\n }\n }\n async *[(_AbstractPage_client = new WeakMap(), Symbol.asyncIterator)]() {\n for await (const page of this.iterPages()) {\n for (const item of page.getPaginatedItems()) {\n yield item;\n }\n }\n }\n}\n/**\n * This subclass of Promise will resolve to an instantiated Page once the request completes.\n *\n * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\nexport class PagePromise extends APIPromise {\n constructor(client, request, Page) {\n super(client, request, async (client, props) => new Page(client, props.response, await defaultParseResponse(client, props), props.options));\n }\n /**\n * Allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\n async *[Symbol.asyncIterator]() {\n const page = await this;\n for await (const item of page) {\n yield item;\n }\n }\n}\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class Page extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.object = body.object;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n nextPageRequestOptions() {\n return null;\n }\n}\nexport class CursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const data = this.getPaginatedItems();\n const id = data[data.length - 1]?.id;\n if (!id) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: id,\n },\n };\n }\n}\nexport class ConversationCursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n this.last_id = body.last_id || '';\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const cursor = this.last_id;\n if (!cursor) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: cursor,\n },\n };\n }\n}\n//# sourceMappingURL=pagination.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { Stream } from \"../core/streaming.mjs\";\nimport { formatRequestDetails, loggerFor } from \"./utils/log.mjs\";\nexport async function defaultParseResponse(client, props) {\n const { response, requestLogID, retryOfRequestLogID, startTime } = props;\n const body = await (async () => {\n if (props.options.stream) {\n loggerFor(client).debug('response', response.status, response.url, response.headers, response.body);\n // Note: there is an invariant here that isn't represented in the type system\n // that if you set `stream: true` the response type must also be `Stream`\n if (props.options.__streamClass) {\n return props.options.__streamClass.fromSSEResponse(response, props.controller, client);\n }\n return Stream.fromSSEResponse(response, props.controller, client);\n }\n // fetch refuses to read the body when the status code is 204.\n if (response.status === 204) {\n return null;\n }\n if (props.options.__binaryResponse) {\n return response;\n }\n const contentType = response.headers.get('content-type');\n const mediaType = contentType?.split(';')[0]?.trim();\n const isJSON = mediaType?.includes('application/json') || mediaType?.endsWith('+json');\n if (isJSON) {\n const json = await response.json();\n return addRequestID(json, response);\n }\n const text = await response.text();\n return text;\n })();\n loggerFor(client).debug(`[${requestLogID}] response parsed`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n body,\n durationMs: Date.now() - startTime,\n }));\n return body;\n}\nexport function addRequestID(value, response) {\n if (!value || typeof value !== 'object' || Array.isArray(value)) {\n return value;\n }\n return Object.defineProperty(value, '_request_id', {\n value: response.headers.get('x-request-id'),\n enumerable: false,\n });\n}\n//# sourceMappingURL=parse.mjs.map","import { ReadableStreamFrom } from \"./shims.mjs\";\nexport const checkFileSupport = () => {\n if (typeof File === 'undefined') {\n const { process } = globalThis;\n const isOldNode = typeof process?.versions?.node === 'string' && parseInt(process.versions.node.split('.')) < 20;\n throw new Error('`File` is not defined as a global, which is required for file uploads.' +\n (isOldNode ?\n \" Update to Node 20 LTS or newer, or set `globalThis.File` to `import('node:buffer').File`.\"\n : ''));\n }\n};\n/**\n * Construct a `File` instance. This is used to ensure a helpful error is thrown\n * for environments that don't define a global `File` yet.\n */\nexport function makeFile(fileBits, fileName, options) {\n checkFileSupport();\n return new File(fileBits, fileName ?? 'unknown_file', options);\n}\nexport function getName(value) {\n return (((typeof value === 'object' &&\n value !== null &&\n (('name' in value && value.name && String(value.name)) ||\n ('url' in value && value.url && String(value.url)) ||\n ('filename' in value && value.filename && String(value.filename)) ||\n ('path' in value && value.path && String(value.path)))) ||\n '')\n .split(/[\\\\/]/)\n .pop() || undefined);\n}\nexport const isAsyncIterable = (value) => value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function';\n/**\n * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value.\n * Otherwise returns the request as is.\n */\nexport const maybeMultipartFormRequestOptions = async (opts, fetch) => {\n if (!hasUploadableValue(opts.body))\n return opts;\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nexport const multipartFormRequestOptions = async (opts, fetch) => {\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nconst supportsFormDataMap = /* @__PURE__ */ new WeakMap();\n/**\n * node-fetch doesn't support the global FormData object in recent node versions. Instead of sending\n * properly-encoded form data, it just stringifies the object, resulting in a request body of \"[object FormData]\".\n * This function detects if the fetch function provided supports the global FormData object to avoid\n * confusing error messages later on.\n */\nfunction supportsFormData(fetchObject) {\n const fetch = typeof fetchObject === 'function' ? fetchObject : fetchObject.fetch;\n const cached = supportsFormDataMap.get(fetch);\n if (cached)\n return cached;\n const promise = (async () => {\n try {\n const FetchResponse = ('Response' in fetch ?\n fetch.Response\n : (await fetch('data:,')).constructor);\n const data = new FormData();\n if (data.toString() === (await new FetchResponse(data).text())) {\n return false;\n }\n return true;\n }\n catch {\n // avoid false negatives\n return true;\n }\n })();\n supportsFormDataMap.set(fetch, promise);\n return promise;\n}\nexport const createForm = async (body, fetch) => {\n if (!(await supportsFormData(fetch))) {\n throw new TypeError('The provided fetch function does not support file uploads with the current global FormData class.');\n }\n const form = new FormData();\n await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value)));\n return form;\n};\n// We check for Blob not File because Bun.File doesn't inherit from File,\n// but they both inherit from Blob and have a `name` property at runtime.\nconst isNamedBlob = (value) => value instanceof Blob && 'name' in value;\nconst isUploadable = (value) => typeof value === 'object' &&\n value !== null &&\n (value instanceof Response || isAsyncIterable(value) || isNamedBlob(value));\nconst hasUploadableValue = (value) => {\n if (isUploadable(value))\n return true;\n if (Array.isArray(value))\n return value.some(hasUploadableValue);\n if (value && typeof value === 'object') {\n for (const k in value) {\n if (hasUploadableValue(value[k]))\n return true;\n }\n }\n return false;\n};\nconst addFormValue = async (form, key, value) => {\n if (value === undefined)\n return;\n if (value == null) {\n throw new TypeError(`Received null for \"${key}\"; to pass null in FormData, you must use the string 'null'`);\n }\n // TODO: make nested formats configurable\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n form.append(key, String(value));\n }\n else if (value instanceof Response) {\n form.append(key, makeFile([await value.blob()], getName(value)));\n }\n else if (isAsyncIterable(value)) {\n form.append(key, makeFile([await new Response(ReadableStreamFrom(value)).blob()], getName(value)));\n }\n else if (isNamedBlob(value)) {\n form.append(key, value, getName(value));\n }\n else if (Array.isArray(value)) {\n await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry)));\n }\n else if (typeof value === 'object') {\n await Promise.all(Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)));\n }\n else {\n throw new TypeError(`Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`);\n }\n};\n//# sourceMappingURL=uploads.mjs.map","import { getName, makeFile, isAsyncIterable } from \"./uploads.mjs\";\nimport { checkFileSupport } from \"./uploads.mjs\";\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isBlobLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.size === 'number' &&\n typeof value.type === 'string' &&\n typeof value.text === 'function' &&\n typeof value.slice === 'function' &&\n typeof value.arrayBuffer === 'function';\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isFileLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.name === 'string' &&\n typeof value.lastModified === 'number' &&\n isBlobLike(value);\nconst isResponseLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.url === 'string' &&\n typeof value.blob === 'function';\n/**\n * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats\n * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s\n * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible\n * @param {Object=} options additional properties\n * @param {string=} options.type the MIME type of the content\n * @param {number=} options.lastModified the last modified timestamp\n * @returns a {@link File} with the given properties\n */\nexport async function toFile(value, name, options) {\n checkFileSupport();\n // If it's a promise, resolve it.\n value = await value;\n // If we've been given a `File` we don't need to do anything\n if (isFileLike(value)) {\n if (value instanceof File) {\n return value;\n }\n return makeFile([await value.arrayBuffer()], value.name);\n }\n if (isResponseLike(value)) {\n const blob = await value.blob();\n name || (name = new URL(value.url).pathname.split(/[\\\\/]/).pop());\n return makeFile(await getBytes(blob), name, options);\n }\n const parts = await getBytes(value);\n name || (name = getName(value));\n if (!options?.type) {\n const type = parts.find((part) => typeof part === 'object' && 'type' in part && part.type);\n if (typeof type === 'string') {\n options = { ...options, type };\n }\n }\n return makeFile(parts, name, options);\n}\nasync function getBytes(value) {\n let parts = [];\n if (typeof value === 'string' ||\n ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc.\n value instanceof ArrayBuffer) {\n parts.push(value);\n }\n else if (isBlobLike(value)) {\n parts.push(value instanceof Blob ? value : await value.arrayBuffer());\n }\n else if (isAsyncIterable(value) // includes Readable, ReadableStream, etc.\n ) {\n for await (const chunk of value) {\n parts.push(...(await getBytes(chunk))); // TODO, consider validating?\n }\n }\n else {\n const constructor = value?.constructor?.name;\n throw new Error(`Unexpected data type: ${typeof value}${constructor ? `; constructor: ${constructor}` : ''}${propsForError(value)}`);\n }\n return parts;\n}\nfunction propsForError(value) {\n if (typeof value !== 'object' || value === null)\n return '';\n const props = Object.getOwnPropertyNames(value);\n return `; props: [${props.map((p) => `\"${p}\"`).join(', ')}]`;\n}\n//# sourceMappingURL=to-file.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport class APIResource {\n constructor(client) {\n this._client = client;\n }\n}\n//# sourceMappingURL=resource.mjs.map","import { OpenAIError } from \"../../core/error.mjs\";\n/**\n * Percent-encode everything that isn't safe to have in a path without encoding safe chars.\n *\n * Taken from https://datatracker.ietf.org/doc/html/rfc3986#section-3.3:\n * > unreserved = ALPHA / DIGIT / \"-\" / \".\" / \"_\" / \"~\"\n * > sub-delims = \"!\" / \"$\" / \"&\" / \"'\" / \"(\" / \")\" / \"*\" / \"+\" / \",\" / \";\" / \"=\"\n * > pchar = unreserved / pct-encoded / sub-delims / \":\" / \"@\"\n */\nexport function encodeURIPath(str) {\n return str.replace(/[^A-Za-z0-9\\-._~!$&'()*+,;=:@]+/g, encodeURIComponent);\n}\nconst EMPTY = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.create(null));\nexport const createPathTagFunction = (pathEncoder = encodeURIPath) => function path(statics, ...params) {\n // If there are no params, no processing is needed.\n if (statics.length === 1)\n return statics[0];\n let postPath = false;\n const invalidSegments = [];\n const path = statics.reduce((previousValue, currentValue, index) => {\n if (/[?#]/.test(currentValue)) {\n postPath = true;\n }\n const value = params[index];\n let encoded = (postPath ? encodeURIComponent : pathEncoder)('' + value);\n if (index !== params.length &&\n (value == null ||\n (typeof value === 'object' &&\n // handle values from other realms\n value.toString ===\n Object.getPrototypeOf(Object.getPrototypeOf(value.hasOwnProperty ?? EMPTY) ?? EMPTY)\n ?.toString))) {\n encoded = value + '';\n invalidSegments.push({\n start: previousValue.length + currentValue.length,\n length: encoded.length,\n error: `Value of type ${Object.prototype.toString\n .call(value)\n .slice(8, -1)} is not a valid path parameter`,\n });\n }\n return previousValue + currentValue + (index === params.length ? '' : encoded);\n }, '');\n const pathOnly = path.split(/[?#]/, 1)[0];\n const invalidSegmentPattern = /(?<=^|\\/)(?:\\.|%2e){1,2}(?=\\/|$)/gi;\n let match;\n // Find all invalid segments\n while ((match = invalidSegmentPattern.exec(pathOnly)) !== null) {\n invalidSegments.push({\n start: match.index,\n length: match[0].length,\n error: `Value \"${match[0]}\" can\\'t be safely passed as a path parameter`,\n });\n }\n invalidSegments.sort((a, b) => a.start - b.start);\n if (invalidSegments.length > 0) {\n let lastEnd = 0;\n const underline = invalidSegments.reduce((acc, segment) => {\n const spaces = ' '.repeat(segment.start - lastEnd);\n const arrows = '^'.repeat(segment.length);\n lastEnd = segment.start + segment.length;\n return acc + spaces + arrows;\n }, '');\n throw new OpenAIError(`Path parameters result in path with invalid segments:\\n${invalidSegments\n .map((e) => e.error)\n .join('\\n')}\\n${path}\\n${underline}`);\n }\n return path;\n};\n/**\n * URI-encodes path params and ensures no unsafe /./ or /../ path segments are introduced.\n */\nexport const path = /* @__PURE__ */ createPathTagFunction(encodeURIPath);\n//# sourceMappingURL=path.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Messages extends APIResource {\n /**\n * Get the messages in a stored chat completion. Only Chat Completions that have\n * been created with the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list(\n * 'completion_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(completionID, query = {}, options) {\n return this._client.getAPIList(path `/chat/completions/${completionID}/messages`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=messages.mjs.map","import { ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError } from \"../error.mjs\";\nexport function isChatCompletionFunctionTool(tool) {\n return tool !== undefined && 'function' in tool && tool.function !== undefined;\n}\nexport function makeParseableResponseFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function makeParseableTextFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableResponseFormat(response_format) {\n return response_format?.['$brand'] === 'auto-parseable-response-format';\n}\nexport function makeParseableTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nexport function maybeParseChatCompletion(completion, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...completion,\n choices: completion.choices.map((choice) => {\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n parsed: null,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls,\n }\n : undefined),\n },\n };\n }),\n };\n }\n return parseChatCompletion(completion, params);\n}\nexport function parseChatCompletion(completion, params) {\n const choices = completion.choices.map((choice) => {\n if (choice.finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (choice.finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls?.map((toolCall) => parseToolCall(params, toolCall)) ?? undefined,\n }\n : undefined),\n parsed: choice.message.content && !choice.message.refusal ?\n parseResponseFormat(params, choice.message.content)\n : null,\n },\n };\n });\n return { ...completion, choices };\n}\nfunction parseResponseFormat(params, content) {\n if (params.response_format?.type !== 'json_schema') {\n return null;\n }\n if (params.response_format?.type === 'json_schema') {\n if ('$parseRaw' in params.response_format) {\n const response_format = params.response_format;\n return response_format.$parseRaw(content);\n }\n return JSON.parse(content);\n }\n return null;\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name); // TS doesn't narrow based on isChatCompletionTool\n return {\n ...toolCall,\n function: {\n ...toolCall.function,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCall.function.arguments)\n : null,\n },\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params || !('tools' in params) || !params.tools) {\n return false;\n }\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name);\n return (isChatCompletionFunctionTool(inputTool) &&\n (isAutoParsableTool(inputTool) || inputTool?.function.strict || false));\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.response_format)) {\n return true;\n }\n return (params.tools?.some((t) => isAutoParsableTool(t) || (t.type === 'function' && t.function.strict === true)) ?? false);\n}\nexport function assertToolCallsAreChatCompletionFunctionToolCalls(toolCalls) {\n for (const toolCall of toolCalls || []) {\n if (toolCall.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool calls are supported; Received \\`${toolCall.type}\\``);\n }\n }\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\n//# sourceMappingURL=parser.mjs.map","export const isAssistantMessage = (message) => {\n return message?.role === 'assistant';\n};\nexport const isToolMessage = (message) => {\n return message?.role === 'tool';\n};\nexport function isPresent(obj) {\n return obj != null;\n}\n//# sourceMappingURL=chatCompletionUtils.mjs.map","var _EventStream_instances, _EventStream_connectedPromise, _EventStream_resolveConnectedPromise, _EventStream_rejectConnectedPromise, _EventStream_endPromise, _EventStream_resolveEndPromise, _EventStream_rejectEndPromise, _EventStream_listeners, _EventStream_ended, _EventStream_errored, _EventStream_aborted, _EventStream_catchingPromiseCreated, _EventStream_handleError;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nexport class EventStream {\n constructor() {\n _EventStream_instances.add(this);\n this.controller = new AbortController();\n _EventStream_connectedPromise.set(this, void 0);\n _EventStream_resolveConnectedPromise.set(this, () => { });\n _EventStream_rejectConnectedPromise.set(this, () => { });\n _EventStream_endPromise.set(this, void 0);\n _EventStream_resolveEndPromise.set(this, () => { });\n _EventStream_rejectEndPromise.set(this, () => { });\n _EventStream_listeners.set(this, {});\n _EventStream_ended.set(this, false);\n _EventStream_errored.set(this, false);\n _EventStream_aborted.set(this, false);\n _EventStream_catchingPromiseCreated.set(this, false);\n __classPrivateFieldSet(this, _EventStream_connectedPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveConnectedPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectConnectedPromise, reject, \"f\");\n }), \"f\");\n __classPrivateFieldSet(this, _EventStream_endPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveEndPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectEndPromise, reject, \"f\");\n }), \"f\");\n // Don't let these promises cause unhandled rejection errors.\n // we will manually cause an unhandled rejection error later\n // if the user hasn't registered any error listener or called\n // any promise-returning method.\n __classPrivateFieldGet(this, _EventStream_connectedPromise, \"f\").catch(() => { });\n __classPrivateFieldGet(this, _EventStream_endPromise, \"f\").catch(() => { });\n }\n _run(executor) {\n // Unfortunately if we call `executor()` immediately we get runtime errors about\n // references to `this` before the `super()` constructor call returns.\n setTimeout(() => {\n executor().then(() => {\n this._emitFinal();\n this._emit('end');\n }, __classPrivateFieldGet(this, _EventStream_instances, \"m\", _EventStream_handleError).bind(this));\n }, 0);\n }\n _connected() {\n if (this.ended)\n return;\n __classPrivateFieldGet(this, _EventStream_resolveConnectedPromise, \"f\").call(this);\n this._emit('connect');\n }\n get ended() {\n return __classPrivateFieldGet(this, _EventStream_ended, \"f\");\n }\n get errored() {\n return __classPrivateFieldGet(this, _EventStream_errored, \"f\");\n }\n get aborted() {\n return __classPrivateFieldGet(this, _EventStream_aborted, \"f\");\n }\n abort() {\n this.controller.abort();\n }\n /**\n * Adds the listener function to the end of the listeners array for the event.\n * No checks are made to see if the listener has already been added. Multiple calls passing\n * the same combination of event and listener will result in the listener being added, and\n * called, multiple times.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n on(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener });\n return this;\n }\n /**\n * Removes the specified listener from the listener array for the event.\n * off() will remove, at most, one instance of a listener from the listener array. If any single\n * listener has been added multiple times to the listener array for the specified event, then\n * off() must be called multiple times to remove each instance.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n off(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (!listeners)\n return this;\n const index = listeners.findIndex((l) => l.listener === listener);\n if (index >= 0)\n listeners.splice(index, 1);\n return this;\n }\n /**\n * Adds a one-time listener function for the event. The next time the event is triggered,\n * this listener is removed and then invoked.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n once(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener, once: true });\n return this;\n }\n /**\n * This is similar to `.once()`, but returns a Promise that resolves the next time\n * the event is triggered, instead of calling a listener callback.\n * @returns a Promise that resolves the next time given event is triggered,\n * or rejects if an error is emitted. (If you request the 'error' event,\n * returns a promise that resolves with the error).\n *\n * Example:\n *\n * const message = await stream.emitted('message') // rejects if the stream errors\n */\n emitted(event) {\n return new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n if (event !== 'error')\n this.once('error', reject);\n this.once(event, resolve);\n });\n }\n async done() {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n await __classPrivateFieldGet(this, _EventStream_endPromise, \"f\");\n }\n _emit(event, ...args) {\n // make sure we don't emit any events after end\n if (__classPrivateFieldGet(this, _EventStream_ended, \"f\")) {\n return;\n }\n if (event === 'end') {\n __classPrivateFieldSet(this, _EventStream_ended, true, \"f\");\n __classPrivateFieldGet(this, _EventStream_resolveEndPromise, \"f\").call(this);\n }\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (listeners) {\n __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = listeners.filter((l) => !l.once);\n listeners.forEach(({ listener }) => listener(...args));\n }\n if (event === 'abort') {\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n return;\n }\n if (event === 'error') {\n // NOTE: _emit('error', error) should only be called from #handleError().\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n // Trigger an unhandled rejection if the user hasn't registered any error handlers.\n // If you are seeing stack traces here, make sure to handle errors via either:\n // - runner.on('error', () => ...)\n // - await runner.done()\n // - await runner.finalChatCompletion()\n // - etc.\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n }\n }\n _emitFinal() { }\n}\n_EventStream_connectedPromise = new WeakMap(), _EventStream_resolveConnectedPromise = new WeakMap(), _EventStream_rejectConnectedPromise = new WeakMap(), _EventStream_endPromise = new WeakMap(), _EventStream_resolveEndPromise = new WeakMap(), _EventStream_rejectEndPromise = new WeakMap(), _EventStream_listeners = new WeakMap(), _EventStream_ended = new WeakMap(), _EventStream_errored = new WeakMap(), _EventStream_aborted = new WeakMap(), _EventStream_catchingPromiseCreated = new WeakMap(), _EventStream_instances = new WeakSet(), _EventStream_handleError = function _EventStream_handleError(error) {\n __classPrivateFieldSet(this, _EventStream_errored, true, \"f\");\n if (error instanceof Error && error.name === 'AbortError') {\n error = new APIUserAbortError();\n }\n if (error instanceof APIUserAbortError) {\n __classPrivateFieldSet(this, _EventStream_aborted, true, \"f\");\n return this._emit('abort', error);\n }\n if (error instanceof OpenAIError) {\n return this._emit('error', error);\n }\n if (error instanceof Error) {\n const openAIError = new OpenAIError(error.message);\n // @ts-ignore\n openAIError.cause = error;\n return this._emit('error', openAIError);\n }\n return this._emit('error', new OpenAIError(String(error)));\n};\n//# sourceMappingURL=EventStream.mjs.map","var _AbstractChatCompletionRunner_instances, _AbstractChatCompletionRunner_getFinalContent, _AbstractChatCompletionRunner_getFinalMessage, _AbstractChatCompletionRunner_getFinalFunctionToolCall, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult, _AbstractChatCompletionRunner_calculateTotalUsage, _AbstractChatCompletionRunner_validateParams, _AbstractChatCompletionRunner_stringifyFunctionCallResult;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableTool, parseChatCompletion } from \"../lib/parser.mjs\";\nimport { isAssistantMessage, isToolMessage } from \"./chatCompletionUtils.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isRunnableFunctionWithParse, } from \"./RunnableFunction.mjs\";\nconst DEFAULT_MAX_CHAT_COMPLETIONS = 10;\nexport class AbstractChatCompletionRunner extends EventStream {\n constructor() {\n super(...arguments);\n _AbstractChatCompletionRunner_instances.add(this);\n this._chatCompletions = [];\n this.messages = [];\n }\n _addChatCompletion(chatCompletion) {\n this._chatCompletions.push(chatCompletion);\n this._emit('chatCompletion', chatCompletion);\n const message = chatCompletion.choices[0]?.message;\n if (message)\n this._addMessage(message);\n return chatCompletion;\n }\n _addMessage(message, emit = true) {\n if (!('content' in message))\n message.content = null;\n this.messages.push(message);\n if (emit) {\n this._emit('message', message);\n if (isToolMessage(message) && message.content) {\n // Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function.\n this._emit('functionToolCallResult', message.content);\n }\n else if (isAssistantMessage(message) && message.tool_calls) {\n for (const tool_call of message.tool_calls) {\n if (tool_call.type === 'function') {\n this._emit('functionToolCall', tool_call.function);\n }\n }\n }\n }\n }\n /**\n * @returns a promise that resolves with the final ChatCompletion, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletion.\n */\n async finalChatCompletion() {\n await this.done();\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (!completion)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return completion;\n }\n /**\n * @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalContent() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n }\n /**\n * @returns a promise that resolves with the the final assistant ChatCompletionMessage response,\n * or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalMessage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n }\n /**\n * @returns a promise that resolves with the content of the final FunctionCall, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalFunctionToolCall() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n }\n async finalFunctionToolCallResult() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n }\n async totalUsage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this);\n }\n allChatCompletions() {\n return [...this._chatCompletions];\n }\n _emitFinal() {\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (completion)\n this._emit('finalChatCompletion', completion);\n const finalMessage = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n if (finalMessage)\n this._emit('finalMessage', finalMessage);\n const finalContent = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n if (finalContent)\n this._emit('finalContent', finalContent);\n const finalFunctionCall = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n if (finalFunctionCall)\n this._emit('finalFunctionToolCall', finalFunctionCall);\n const finalFunctionCallResult = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n if (finalFunctionCallResult != null)\n this._emit('finalFunctionToolCallResult', finalFunctionCallResult);\n if (this._chatCompletions.some((c) => c.usage)) {\n this._emit('totalUsage', __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this));\n }\n }\n async _createChatCompletion(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_validateParams).call(this, params);\n const chatCompletion = await client.chat.completions.create({ ...params, stream: false }, { ...options, signal: this.controller.signal });\n this._connected();\n return this._addChatCompletion(parseChatCompletion(chatCompletion, params));\n }\n async _runChatCompletion(client, params, options) {\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n return await this._createChatCompletion(client, params, options);\n }\n async _runTools(client, params, options) {\n const role = 'tool';\n const { tool_choice = 'auto', stream, ...restParams } = params;\n const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice.type === 'function' && tool_choice?.function?.name;\n const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {};\n // TODO(someday): clean this logic up\n const inputTools = params.tools.map((tool) => {\n if (isAutoParsableTool(tool)) {\n if (!tool.$callback) {\n throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function');\n }\n return {\n type: 'function',\n function: {\n function: tool.$callback,\n name: tool.function.name,\n description: tool.function.description || '',\n parameters: tool.function.parameters,\n parse: tool.$parseRaw,\n strict: true,\n },\n };\n }\n return tool;\n });\n const functionsByName = {};\n for (const f of inputTools) {\n if (f.type === 'function') {\n functionsByName[f.function.name || f.function.function.name] = f.function;\n }\n }\n const tools = 'tools' in params ?\n inputTools.map((t) => t.type === 'function' ?\n {\n type: 'function',\n function: {\n name: t.function.name || t.function.function.name,\n parameters: t.function.parameters,\n description: t.function.description,\n strict: t.function.strict,\n },\n }\n : t)\n : undefined;\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n for (let i = 0; i < maxChatCompletions; ++i) {\n const chatCompletion = await this._createChatCompletion(client, {\n ...restParams,\n tool_choice,\n tools,\n messages: [...this.messages],\n }, options);\n const message = chatCompletion.choices[0]?.message;\n if (!message) {\n throw new OpenAIError(`missing message in ChatCompletion response`);\n }\n if (!message.tool_calls?.length) {\n return;\n }\n for (const tool_call of message.tool_calls) {\n if (tool_call.type !== 'function')\n continue;\n const tool_call_id = tool_call.id;\n const { name, arguments: args } = tool_call.function;\n const fn = functionsByName[name];\n if (!fn) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys(functionsByName)\n .map((name) => JSON.stringify(name))\n .join(', ')}. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n else if (singleFunctionToCall && singleFunctionToCall !== name) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify(singleFunctionToCall)} requested. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n let parsed;\n try {\n parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args;\n }\n catch (error) {\n const content = error instanceof Error ? error.message : String(error);\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n // @ts-expect-error it can't rule out `never` type.\n const rawContent = await fn.function(parsed, this);\n const content = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_stringifyFunctionCallResult).call(this, rawContent);\n this._addMessage({ role, tool_call_id, content });\n if (singleFunctionToCall) {\n return;\n }\n }\n }\n return;\n }\n}\n_AbstractChatCompletionRunner_instances = new WeakSet(), _AbstractChatCompletionRunner_getFinalContent = function _AbstractChatCompletionRunner_getFinalContent() {\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this).content ?? null;\n}, _AbstractChatCompletionRunner_getFinalMessage = function _AbstractChatCompletionRunner_getFinalMessage() {\n let i = this.messages.length;\n while (i-- > 0) {\n const message = this.messages[i];\n if (isAssistantMessage(message)) {\n // TODO: support audio here\n const ret = {\n ...message,\n content: message.content ?? null,\n refusal: message.refusal ?? null,\n };\n return ret;\n }\n }\n throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant');\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCall = function _AbstractChatCompletionRunner_getFinalFunctionToolCall() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isAssistantMessage(message) && message?.tool_calls?.length) {\n return message.tool_calls.filter((x) => x.type === 'function').at(-1)?.function;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult = function _AbstractChatCompletionRunner_getFinalFunctionToolCallResult() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isToolMessage(message) &&\n message.content != null &&\n typeof message.content === 'string' &&\n this.messages.some((x) => x.role === 'assistant' &&\n x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id))) {\n return message.content;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_calculateTotalUsage = function _AbstractChatCompletionRunner_calculateTotalUsage() {\n const total = {\n completion_tokens: 0,\n prompt_tokens: 0,\n total_tokens: 0,\n };\n for (const { usage } of this._chatCompletions) {\n if (usage) {\n total.completion_tokens += usage.completion_tokens;\n total.prompt_tokens += usage.prompt_tokens;\n total.total_tokens += usage.total_tokens;\n }\n }\n return total;\n}, _AbstractChatCompletionRunner_validateParams = function _AbstractChatCompletionRunner_validateParams(params) {\n if (params.n != null && params.n > 1) {\n throw new OpenAIError('ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.');\n }\n}, _AbstractChatCompletionRunner_stringifyFunctionCallResult = function _AbstractChatCompletionRunner_stringifyFunctionCallResult(rawContent) {\n return (typeof rawContent === 'string' ? rawContent\n : rawContent === undefined ? 'undefined'\n : JSON.stringify(rawContent));\n};\n//# sourceMappingURL=AbstractChatCompletionRunner.mjs.map","export function isRunnableFunctionWithParse(fn) {\n return typeof fn.parse === 'function';\n}\n/**\n * This is helper class for passing a `function` and `parse` where the `function`\n * argument type matches the `parse` return type.\n */\nexport class ParsingToolFunction {\n constructor(input) {\n this.type = 'function';\n this.function = input;\n }\n}\n//# sourceMappingURL=RunnableFunction.mjs.map","import { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nimport { isAssistantMessage } from \"./chatCompletionUtils.mjs\";\nexport class ChatCompletionRunner extends AbstractChatCompletionRunner {\n static runTools(client, params, options) {\n const runner = new ChatCompletionRunner();\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n _addMessage(message, emit = true) {\n super._addMessage(message, emit);\n if (isAssistantMessage(message) && message.content) {\n this._emit('content', message.content);\n }\n }\n}\n//# sourceMappingURL=ChatCompletionRunner.mjs.map","const STR = 0b000000001;\nconst NUM = 0b000000010;\nconst ARR = 0b000000100;\nconst OBJ = 0b000001000;\nconst NULL = 0b000010000;\nconst BOOL = 0b000100000;\nconst NAN = 0b001000000;\nconst INFINITY = 0b010000000;\nconst MINUS_INFINITY = 0b100000000;\nconst INF = INFINITY | MINUS_INFINITY;\nconst SPECIAL = NULL | BOOL | INF | NAN;\nconst ATOM = STR | NUM | SPECIAL;\nconst COLLECTION = ARR | OBJ;\nconst ALL = ATOM | COLLECTION;\nconst Allow = {\n STR,\n NUM,\n ARR,\n OBJ,\n NULL,\n BOOL,\n NAN,\n INFINITY,\n MINUS_INFINITY,\n INF,\n SPECIAL,\n ATOM,\n COLLECTION,\n ALL,\n};\n// The JSON string segment was unable to be parsed completely\nclass PartialJSON extends Error {\n}\nclass MalformedJSON extends Error {\n}\n/**\n * Parse incomplete JSON\n * @param {string} jsonString Partial JSON to be parsed\n * @param {number} allowPartial Specify what types are allowed to be partial, see {@link Allow} for details\n * @returns The parsed JSON\n * @throws {PartialJSON} If the JSON is incomplete (related to the `allow` parameter)\n * @throws {MalformedJSON} If the JSON is malformed\n */\nfunction parseJSON(jsonString, allowPartial = Allow.ALL) {\n if (typeof jsonString !== 'string') {\n throw new TypeError(`expecting str, got ${typeof jsonString}`);\n }\n if (!jsonString.trim()) {\n throw new Error(`${jsonString} is empty`);\n }\n return _parseJSON(jsonString.trim(), allowPartial);\n}\nconst _parseJSON = (jsonString, allow) => {\n const length = jsonString.length;\n let index = 0;\n const markPartialJSON = (msg) => {\n throw new PartialJSON(`${msg} at position ${index}`);\n };\n const throwMalformedError = (msg) => {\n throw new MalformedJSON(`${msg} at position ${index}`);\n };\n const parseAny = () => {\n skipBlank();\n if (index >= length)\n markPartialJSON('Unexpected end of input');\n if (jsonString[index] === '\"')\n return parseStr();\n if (jsonString[index] === '{')\n return parseObj();\n if (jsonString[index] === '[')\n return parseArr();\n if (jsonString.substring(index, index + 4) === 'null' ||\n (Allow.NULL & allow && length - index < 4 && 'null'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return null;\n }\n if (jsonString.substring(index, index + 4) === 'true' ||\n (Allow.BOOL & allow && length - index < 4 && 'true'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return true;\n }\n if (jsonString.substring(index, index + 5) === 'false' ||\n (Allow.BOOL & allow && length - index < 5 && 'false'.startsWith(jsonString.substring(index)))) {\n index += 5;\n return false;\n }\n if (jsonString.substring(index, index + 8) === 'Infinity' ||\n (Allow.INFINITY & allow && length - index < 8 && 'Infinity'.startsWith(jsonString.substring(index)))) {\n index += 8;\n return Infinity;\n }\n if (jsonString.substring(index, index + 9) === '-Infinity' ||\n (Allow.MINUS_INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n '-Infinity'.startsWith(jsonString.substring(index)))) {\n index += 9;\n return -Infinity;\n }\n if (jsonString.substring(index, index + 3) === 'NaN' ||\n (Allow.NAN & allow && length - index < 3 && 'NaN'.startsWith(jsonString.substring(index)))) {\n index += 3;\n return NaN;\n }\n return parseNum();\n };\n const parseStr = () => {\n const start = index;\n let escape = false;\n index++; // skip initial quote\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === '\\\\'))) {\n escape = jsonString[index] === '\\\\' ? !escape : false;\n index++;\n }\n if (jsonString.charAt(index) == '\"') {\n try {\n return JSON.parse(jsonString.substring(start, ++index - Number(escape)));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n else if (Allow.STR & allow) {\n try {\n return JSON.parse(jsonString.substring(start, index - Number(escape)) + '\"');\n }\n catch (e) {\n // SyntaxError: Invalid escape sequence\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('\\\\')) + '\"');\n }\n }\n markPartialJSON('Unterminated string literal');\n };\n const parseObj = () => {\n index++; // skip initial brace\n skipBlank();\n const obj = {};\n try {\n while (jsonString[index] !== '}') {\n skipBlank();\n if (index >= length && Allow.OBJ & allow)\n return obj;\n const key = parseStr();\n skipBlank();\n index++; // skip colon\n try {\n const value = parseAny();\n Object.defineProperty(obj, key, { value, writable: true, enumerable: true, configurable: true });\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n throw e;\n }\n skipBlank();\n if (jsonString[index] === ',')\n index++; // skip comma\n }\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n markPartialJSON(\"Expected '}' at end of object\");\n }\n index++; // skip final brace\n return obj;\n };\n const parseArr = () => {\n index++; // skip initial bracket\n const arr = [];\n try {\n while (jsonString[index] !== ']') {\n arr.push(parseAny());\n skipBlank();\n if (jsonString[index] === ',') {\n index++; // skip comma\n }\n }\n }\n catch (e) {\n if (Allow.ARR & allow) {\n return arr;\n }\n markPartialJSON(\"Expected ']' at end of array\");\n }\n index++; // skip final bracket\n return arr;\n };\n const parseNum = () => {\n if (index === 0) {\n if (jsonString === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString);\n }\n catch (e) {\n if (Allow.NUM & allow) {\n try {\n if ('.' === jsonString[jsonString.length - 1])\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('.')));\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('e')));\n }\n catch (e) { }\n }\n throwMalformedError(String(e));\n }\n }\n const start = index;\n if (jsonString[index] === '-')\n index++;\n while (jsonString[index] && !',]}'.includes(jsonString[index]))\n index++;\n if (index == length && !(Allow.NUM & allow))\n markPartialJSON('Unterminated number literal');\n try {\n return JSON.parse(jsonString.substring(start, index));\n }\n catch (e) {\n if (jsonString.substring(start, index) === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('e')));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n };\n const skipBlank = () => {\n while (index < length && ' \\n\\r\\t'.includes(jsonString[index])) {\n index++;\n }\n };\n return parseAny();\n};\n// using this function with malformed JSON is undefined behavior\nconst partialParse = (input) => parseJSON(input, Allow.ALL ^ Allow.NUM);\nexport { partialParse, PartialJSON, MalformedJSON };\n//# sourceMappingURL=parser.mjs.map","var _ChatCompletionStream_instances, _ChatCompletionStream_params, _ChatCompletionStream_choiceEventStates, _ChatCompletionStream_currentChatCompletionSnapshot, _ChatCompletionStream_beginRequest, _ChatCompletionStream_getChoiceEventState, _ChatCompletionStream_addChunk, _ChatCompletionStream_emitToolCallDoneEvent, _ChatCompletionStream_emitContentDoneEvents, _ChatCompletionStream_endRequest, _ChatCompletionStream_getAutoParseableResponseFormat, _ChatCompletionStream_accumulateChatCompletion;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { partialParse } from \"../_vendor/partial-json-parser/parser.mjs\";\nimport { APIUserAbortError, ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError, } from \"../error.mjs\";\nimport { hasAutoParseableInput, isAutoParsableResponseFormat, isAutoParsableTool, isChatCompletionFunctionTool, maybeParseChatCompletion, shouldParseToolCall, } from \"../lib/parser.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nexport class ChatCompletionStream extends AbstractChatCompletionRunner {\n constructor(params) {\n super();\n _ChatCompletionStream_instances.add(this);\n _ChatCompletionStream_params.set(this, void 0);\n _ChatCompletionStream_choiceEventStates.set(this, void 0);\n _ChatCompletionStream_currentChatCompletionSnapshot.set(this, void 0);\n __classPrivateFieldSet(this, _ChatCompletionStream_params, params, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n }\n get currentChatCompletionSnapshot() {\n return __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n }\n /**\n * Intended for use on the frontend, consuming a stream produced with\n * `.toReadableStream()` on the backend.\n *\n * Note that messages sent to the model do not appear in `.on('message')`\n * in this context.\n */\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStream(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static createChatCompletion(client, params, options) {\n const runner = new ChatCompletionStream(params);\n runner._run(() => runner._runChatCompletion(client, { ...params, stream: true }, { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }));\n return runner;\n }\n async _createChatCompletion(client, params, options) {\n super._createChatCompletion;\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n const stream = await client.chat.completions.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const chunk of stream) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n let chatId;\n for await (const chunk of stream) {\n if (chatId && chatId !== chunk.id) {\n // A new request has been made.\n this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n chatId = chunk.id;\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n [(_ChatCompletionStream_params = new WeakMap(), _ChatCompletionStream_choiceEventStates = new WeakMap(), _ChatCompletionStream_currentChatCompletionSnapshot = new WeakMap(), _ChatCompletionStream_instances = new WeakSet(), _ChatCompletionStream_beginRequest = function _ChatCompletionStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n }, _ChatCompletionStream_getChoiceEventState = function _ChatCompletionStream_getChoiceEventState(choice) {\n let state = __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index];\n if (state) {\n return state;\n }\n state = {\n content_done: false,\n refusal_done: false,\n logprobs_content_done: false,\n logprobs_refusal_done: false,\n done_tool_calls: new Set(),\n current_tool_call_index: null,\n };\n __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index] = state;\n return state;\n }, _ChatCompletionStream_addChunk = function _ChatCompletionStream_addChunk(chunk) {\n if (this.ended)\n return;\n const completion = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_accumulateChatCompletion).call(this, chunk);\n this._emit('chunk', chunk, completion);\n for (const choice of chunk.choices) {\n const choiceSnapshot = completion.choices[choice.index];\n if (choice.delta.content != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.content) {\n this._emit('content', choice.delta.content, choiceSnapshot.message.content);\n this._emit('content.delta', {\n delta: choice.delta.content,\n snapshot: choiceSnapshot.message.content,\n parsed: choiceSnapshot.message.parsed,\n });\n }\n if (choice.delta.refusal != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.refusal) {\n this._emit('refusal.delta', {\n delta: choice.delta.refusal,\n snapshot: choiceSnapshot.message.refusal,\n });\n }\n if (choice.logprobs?.content != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.content.delta', {\n content: choice.logprobs?.content,\n snapshot: choiceSnapshot.logprobs?.content ?? [],\n });\n }\n if (choice.logprobs?.refusal != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.refusal.delta', {\n refusal: choice.logprobs?.refusal,\n snapshot: choiceSnapshot.logprobs?.refusal ?? [],\n });\n }\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.finish_reason) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n for (const toolCall of choice.delta.tool_calls ?? []) {\n if (state.current_tool_call_index !== toolCall.index) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n // new tool call started, the previous one is done\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n state.current_tool_call_index = toolCall.index;\n }\n for (const toolCallDelta of choice.delta.tool_calls ?? []) {\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallDelta.index];\n if (!toolCallSnapshot?.type) {\n continue;\n }\n if (toolCallSnapshot?.type === 'function') {\n this._emit('tool_calls.function.arguments.delta', {\n name: toolCallSnapshot.function?.name,\n index: toolCallDelta.index,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: toolCallSnapshot.function.parsed_arguments,\n arguments_delta: toolCallDelta.function?.arguments ?? '',\n });\n }\n else {\n assertNever(toolCallSnapshot?.type);\n }\n }\n }\n }, _ChatCompletionStream_emitToolCallDoneEvent = function _ChatCompletionStream_emitToolCallDoneEvent(choiceSnapshot, toolCallIndex) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (state.done_tool_calls.has(toolCallIndex)) {\n // we've already fired the done event\n return;\n }\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallIndex];\n if (!toolCallSnapshot) {\n throw new Error('no tool call snapshot');\n }\n if (!toolCallSnapshot.type) {\n throw new Error('tool call snapshot missing `type`');\n }\n if (toolCallSnapshot.type === 'function') {\n const inputTool = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.tools?.find((tool) => isChatCompletionFunctionTool(tool) && tool.function.name === toolCallSnapshot.function.name); // TS doesn't narrow based on isChatCompletionTool\n this._emit('tool_calls.function.arguments.done', {\n name: toolCallSnapshot.function.name,\n index: toolCallIndex,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCallSnapshot.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments)\n : null,\n });\n }\n else {\n assertNever(toolCallSnapshot.type);\n }\n }, _ChatCompletionStream_emitContentDoneEvents = function _ChatCompletionStream_emitContentDoneEvents(choiceSnapshot) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.message.content && !state.content_done) {\n state.content_done = true;\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this);\n this._emit('content.done', {\n content: choiceSnapshot.message.content,\n parsed: responseFormat ? responseFormat.$parseRaw(choiceSnapshot.message.content) : null,\n });\n }\n if (choiceSnapshot.message.refusal && !state.refusal_done) {\n state.refusal_done = true;\n this._emit('refusal.done', { refusal: choiceSnapshot.message.refusal });\n }\n if (choiceSnapshot.logprobs?.content && !state.logprobs_content_done) {\n state.logprobs_content_done = true;\n this._emit('logprobs.content.done', { content: choiceSnapshot.logprobs.content });\n }\n if (choiceSnapshot.logprobs?.refusal && !state.logprobs_refusal_done) {\n state.logprobs_refusal_done = true;\n this._emit('logprobs.refusal.done', { refusal: choiceSnapshot.logprobs.refusal });\n }\n }, _ChatCompletionStream_endRequest = function _ChatCompletionStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any chunks`);\n }\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n return finalizeChatCompletion(snapshot, __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"));\n }, _ChatCompletionStream_getAutoParseableResponseFormat = function _ChatCompletionStream_getAutoParseableResponseFormat() {\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.response_format;\n if (isAutoParsableResponseFormat(responseFormat)) {\n return responseFormat;\n }\n return null;\n }, _ChatCompletionStream_accumulateChatCompletion = function _ChatCompletionStream_accumulateChatCompletion(chunk) {\n var _a, _b, _c, _d;\n let snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n const { choices, ...rest } = chunk;\n if (!snapshot) {\n snapshot = __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, {\n ...rest,\n choices: [],\n }, \"f\");\n }\n else {\n Object.assign(snapshot, rest);\n }\n for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) {\n let choice = snapshot.choices[index];\n if (!choice) {\n choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other };\n }\n if (logprobs) {\n if (!choice.logprobs) {\n choice.logprobs = Object.assign({}, logprobs);\n }\n else {\n const { content, refusal, ...rest } = logprobs;\n assertIsEmpty(rest);\n Object.assign(choice.logprobs, rest);\n if (content) {\n (_a = choice.logprobs).content ?? (_a.content = []);\n choice.logprobs.content.push(...content);\n }\n if (refusal) {\n (_b = choice.logprobs).refusal ?? (_b.refusal = []);\n choice.logprobs.refusal.push(...refusal);\n }\n }\n }\n if (finish_reason) {\n choice.finish_reason = finish_reason;\n if (__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\") && hasAutoParseableInput(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"))) {\n if (finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n }\n }\n Object.assign(choice, other);\n if (!delta)\n continue; // Shouldn't happen; just in case.\n const { content, refusal, function_call, role, tool_calls, ...rest } = delta;\n assertIsEmpty(rest);\n Object.assign(choice.message, rest);\n if (refusal) {\n choice.message.refusal = (choice.message.refusal || '') + refusal;\n }\n if (role)\n choice.message.role = role;\n if (function_call) {\n if (!choice.message.function_call) {\n choice.message.function_call = function_call;\n }\n else {\n if (function_call.name)\n choice.message.function_call.name = function_call.name;\n if (function_call.arguments) {\n (_c = choice.message.function_call).arguments ?? (_c.arguments = '');\n choice.message.function_call.arguments += function_call.arguments;\n }\n }\n }\n if (content) {\n choice.message.content = (choice.message.content || '') + content;\n if (!choice.message.refusal && __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this)) {\n choice.message.parsed = partialParse(choice.message.content);\n }\n }\n if (tool_calls) {\n if (!choice.message.tool_calls)\n choice.message.tool_calls = [];\n for (const { index, id, type, function: fn, ...rest } of tool_calls) {\n const tool_call = ((_d = choice.message.tool_calls)[index] ?? (_d[index] = {}));\n Object.assign(tool_call, rest);\n if (id)\n tool_call.id = id;\n if (type)\n tool_call.type = type;\n if (fn)\n tool_call.function ?? (tool_call.function = { name: fn.name ?? '', arguments: '' });\n if (fn?.name)\n tool_call.function.name = fn.name;\n if (fn?.arguments) {\n tool_call.function.arguments += fn.arguments;\n if (shouldParseToolCall(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"), tool_call)) {\n tool_call.function.parsed_arguments = partialParse(tool_call.function.arguments);\n }\n }\n }\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('chunk', (chunk) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(chunk);\n }\n else {\n pushQueue.push(chunk);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n}\nfunction finalizeChatCompletion(snapshot, params) {\n const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;\n const completion = {\n ...rest,\n id,\n choices: choices.map(({ message, finish_reason, index, logprobs, ...choiceRest }) => {\n if (!finish_reason) {\n throw new OpenAIError(`missing finish_reason for choice ${index}`);\n }\n const { content = null, function_call, tool_calls, ...messageRest } = message;\n const role = message.role; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine.\n if (!role) {\n throw new OpenAIError(`missing role for choice ${index}`);\n }\n if (function_call) {\n const { arguments: args, name } = function_call;\n if (args == null) {\n throw new OpenAIError(`missing function_call.arguments for choice ${index}`);\n }\n if (!name) {\n throw new OpenAIError(`missing function_call.name for choice ${index}`);\n }\n return {\n ...choiceRest,\n message: {\n content,\n function_call: { arguments: args, name },\n role,\n refusal: message.refusal ?? null,\n },\n finish_reason,\n index,\n logprobs,\n };\n }\n if (tool_calls) {\n return {\n ...choiceRest,\n index,\n finish_reason,\n logprobs,\n message: {\n ...messageRest,\n role,\n content,\n refusal: message.refusal ?? null,\n tool_calls: tool_calls.map((tool_call, i) => {\n const { function: fn, type, id, ...toolRest } = tool_call;\n const { arguments: args, name, ...fnRest } = fn || {};\n if (id == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\\n${str(snapshot)}`);\n }\n if (type == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\\n${str(snapshot)}`);\n }\n if (name == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.name\\n${str(snapshot)}`);\n }\n if (args == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.arguments\\n${str(snapshot)}`);\n }\n return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } };\n }),\n },\n };\n }\n return {\n ...choiceRest,\n message: { ...messageRest, content, role, refusal: message.refusal ?? null },\n finish_reason,\n index,\n logprobs,\n };\n }),\n created,\n model,\n object: 'chat.completion',\n ...(system_fingerprint ? { system_fingerprint } : {}),\n };\n return maybeParseChatCompletion(completion, params);\n}\nfunction str(x) {\n return JSON.stringify(x);\n}\n/**\n * Ensures the given argument is an empty object, useful for\n * asserting that all known properties on an object have been\n * destructured.\n */\nfunction assertIsEmpty(obj) {\n return;\n}\nfunction assertNever(_x) { }\n//# sourceMappingURL=ChatCompletionStream.mjs.map","import { ChatCompletionStream } from \"./ChatCompletionStream.mjs\";\nexport class ChatCompletionStreamingRunner extends ChatCompletionStream {\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStreamingRunner(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static runTools(client, params, options) {\n const runner = new ChatCompletionStreamingRunner(\n // @ts-expect-error TODO these types are incompatible\n params);\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n}\n//# sourceMappingURL=ChatCompletionStreamingRunner.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages } from \"./messages.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nimport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nimport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nimport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nimport { parseChatCompletion, validateInputTools } from \"../../../lib/parser.mjs\";\nexport class Completions extends APIResource {\n constructor() {\n super(...arguments);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n create(body, options) {\n return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false });\n }\n /**\n * Get a stored chat completion. Only Chat Completions that have been created with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * const chatCompletion =\n * await client.chat.completions.retrieve('completion_id');\n * ```\n */\n retrieve(completionID, options) {\n return this._client.get(path `/chat/completions/${completionID}`, options);\n }\n /**\n * Modify a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be modified. Currently, the only\n * supported modification is to update the `metadata` field.\n *\n * @example\n * ```ts\n * const chatCompletion = await client.chat.completions.update(\n * 'completion_id',\n * { metadata: { foo: 'string' } },\n * );\n * ```\n */\n update(completionID, body, options) {\n return this._client.post(path `/chat/completions/${completionID}`, { body, ...options });\n }\n /**\n * List stored Chat Completions. Only Chat Completions that have been stored with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletion of client.chat.completions.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/chat/completions', (CursorPage), { query, ...options });\n }\n /**\n * Delete a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be deleted.\n *\n * @example\n * ```ts\n * const chatCompletionDeleted =\n * await client.chat.completions.delete('completion_id');\n * ```\n */\n delete(completionID, options) {\n return this._client.delete(path `/chat/completions/${completionID}`, options);\n }\n parse(body, options) {\n validateInputTools(body.tools);\n return this._client.chat.completions\n .create(body, {\n ...options,\n headers: {\n ...options?.headers,\n 'X-Stainless-Helper-Method': 'chat.completions.parse',\n },\n })\n ._thenUnwrap((completion) => parseChatCompletion(completion, body));\n }\n runTools(body, options) {\n if (body.stream) {\n return ChatCompletionStreamingRunner.runTools(this._client, body, options);\n }\n return ChatCompletionRunner.runTools(this._client, body, options);\n }\n /**\n * Creates a chat completion stream\n */\n stream(body, options) {\n return ChatCompletionStream.createChatCompletion(this._client, body, options);\n }\n}\nexport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nexport { ParsingToolFunction, } from \"../../../lib/RunnableFunction.mjs\";\nexport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nexport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nCompletions.Messages = Messages;\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as CompletionsAPI from \"./completions/completions.mjs\";\nimport { Completions, } from \"./completions/completions.mjs\";\nexport class Chat extends APIResource {\n constructor() {\n super(...arguments);\n this.completions = new CompletionsAPI.Completions(this._client);\n }\n}\nChat.Completions = Completions;\n//# sourceMappingURL=chat.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { isReadonlyArray } from \"./utils/values.mjs\";\nconst brand_privateNullableHeaders = /* @__PURE__ */ Symbol('brand.privateNullableHeaders');\nfunction* iterateHeaders(headers) {\n if (!headers)\n return;\n if (brand_privateNullableHeaders in headers) {\n const { values, nulls } = headers;\n yield* values.entries();\n for (const name of nulls) {\n yield [name, null];\n }\n return;\n }\n let shouldClear = false;\n let iter;\n if (headers instanceof Headers) {\n iter = headers.entries();\n }\n else if (isReadonlyArray(headers)) {\n iter = headers;\n }\n else {\n shouldClear = true;\n iter = Object.entries(headers ?? {});\n }\n for (let row of iter) {\n const name = row[0];\n if (typeof name !== 'string')\n throw new TypeError('expected header name to be a string');\n const values = isReadonlyArray(row[1]) ? row[1] : [row[1]];\n let didClear = false;\n for (const value of values) {\n if (value === undefined)\n continue;\n // Objects keys always overwrite older headers, they never append.\n // Yield a null to clear the header before adding the new values.\n if (shouldClear && !didClear) {\n didClear = true;\n yield [name, null];\n }\n yield [name, value];\n }\n }\n}\nexport const buildHeaders = (newHeaders) => {\n const targetHeaders = new Headers();\n const nullHeaders = new Set();\n for (const headers of newHeaders) {\n const seenHeaders = new Set();\n for (const [name, value] of iterateHeaders(headers)) {\n const lowerName = name.toLowerCase();\n if (!seenHeaders.has(lowerName)) {\n targetHeaders.delete(name);\n seenHeaders.add(lowerName);\n }\n if (value === null) {\n targetHeaders.delete(name);\n nullHeaders.add(lowerName);\n }\n else {\n targetHeaders.append(name, value);\n nullHeaders.delete(lowerName);\n }\n }\n }\n return { [brand_privateNullableHeaders]: true, values: targetHeaders, nulls: nullHeaders };\n};\nexport const isEmptyHeaders = (headers) => {\n for (const _ of iterateHeaders(headers))\n return false;\n return true;\n};\n//# sourceMappingURL=headers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nexport class Speech extends APIResource {\n /**\n * Generates audio from the input text.\n *\n * @example\n * ```ts\n * const speech = await client.audio.speech.create({\n * input: 'input',\n * model: 'string',\n * voice: 'ash',\n * });\n *\n * const content = await speech.blob();\n * console.log(content);\n * ```\n */\n create(body, options) {\n return this._client.post('/audio/speech', {\n body,\n ...options,\n headers: buildHeaders([{ Accept: 'application/octet-stream' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=speech.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Transcriptions extends APIResource {\n create(body, options) {\n return this._client.post('/audio/transcriptions', multipartFormRequestOptions({\n body,\n ...options,\n stream: body.stream ?? false,\n __metadata: { model: body.model },\n }, this._client));\n }\n}\n//# sourceMappingURL=transcriptions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Translations extends APIResource {\n create(body, options) {\n return this._client.post('/audio/translations', multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }, this._client));\n }\n}\n//# sourceMappingURL=translations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as SpeechAPI from \"./speech.mjs\";\nimport { Speech } from \"./speech.mjs\";\nimport * as TranscriptionsAPI from \"./transcriptions.mjs\";\nimport { Transcriptions, } from \"./transcriptions.mjs\";\nimport * as TranslationsAPI from \"./translations.mjs\";\nimport { Translations, } from \"./translations.mjs\";\nexport class Audio extends APIResource {\n constructor() {\n super(...arguments);\n this.transcriptions = new TranscriptionsAPI.Transcriptions(this._client);\n this.translations = new TranslationsAPI.Translations(this._client);\n this.speech = new SpeechAPI.Speech(this._client);\n }\n}\nAudio.Transcriptions = Transcriptions;\nAudio.Translations = Translations;\nAudio.Speech = Speech;\n//# sourceMappingURL=audio.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Batches extends APIResource {\n /**\n * Creates and executes a batch from an uploaded file of requests\n */\n create(body, options) {\n return this._client.post('/batches', { body, ...options });\n }\n /**\n * Retrieves a batch.\n */\n retrieve(batchID, options) {\n return this._client.get(path `/batches/${batchID}`, options);\n }\n /**\n * List your organization's batches.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/batches', (CursorPage), { query, ...options });\n }\n /**\n * Cancels an in-progress batch. The batch will be in status `cancelling` for up to\n * 10 minutes, before changing to `cancelled`, where it will have partial results\n * (if any) available in the output file.\n */\n cancel(batchID, options) {\n return this._client.post(path `/batches/${batchID}/cancel`, options);\n }\n}\n//# sourceMappingURL=batches.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Assistants extends APIResource {\n /**\n * Create an assistant with a model and instructions.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.create({\n * model: 'gpt-4o',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/assistants', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.retrieve(\n * 'assistant_id',\n * );\n * ```\n */\n retrieve(assistantID, options) {\n return this._client.get(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.update(\n * 'assistant_id',\n * );\n * ```\n */\n update(assistantID, body, options) {\n return this._client.post(path `/assistants/${assistantID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of assistants.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const assistant of client.beta.assistants.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/assistants', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete an assistant.\n *\n * @example\n * ```ts\n * const assistantDeleted =\n * await client.beta.assistants.delete('assistant_id');\n * ```\n */\n delete(assistantID, options) {\n return this._client.delete(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=assistants.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class Sessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API. Can be configured with the same session parameters as the\n * `session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const session =\n * await client.beta.realtime.sessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class TranscriptionSessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API specifically for realtime transcriptions. Can be configured with\n * the same session parameters as the `transcription_session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const transcriptionSession =\n * await client.beta.realtime.transcriptionSessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/transcription_sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=transcription-sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as SessionsAPI from \"./sessions.mjs\";\nimport { Sessions, } from \"./sessions.mjs\";\nimport * as TranscriptionSessionsAPI from \"./transcription-sessions.mjs\";\nimport { TranscriptionSessions, } from \"./transcription-sessions.mjs\";\n/**\n * @deprecated Realtime has now launched and is generally available. The old beta API is now deprecated.\n */\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.sessions = new SessionsAPI.Sessions(this._client);\n this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);\n }\n}\nRealtime.Sessions = Sessions;\nRealtime.TranscriptionSessions = TranscriptionSessions;\n//# sourceMappingURL=realtime.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Messages extends APIResource {\n /**\n * Create a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}/messages`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieve a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(messageID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(messageID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/messages/${messageID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of messages for a given thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/messages`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Deletes a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(messageID, params, options) {\n const { thread_id } = params;\n return this._client.delete(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=messages.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Steps extends APIResource {\n /**\n * Retrieves a run step.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(stepID, params, options) {\n const { thread_id, run_id, ...query } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${run_id}/steps/${stepID}`, {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of run steps belonging to a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(runID, params, options) {\n const { thread_id, ...query } = params;\n return this._client.getAPIList(path `/threads/${thread_id}/runs/${runID}/steps`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=steps.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\nimport { encodeUTF8 } from \"./bytes.mjs\";\nexport const toBase64 = (data) => {\n if (!data)\n return '';\n if (typeof globalThis.Buffer !== 'undefined') {\n return globalThis.Buffer.from(data).toString('base64');\n }\n if (typeof data === 'string') {\n data = encodeUTF8(data);\n }\n if (typeof btoa !== 'undefined') {\n return btoa(String.fromCharCode.apply(null, data));\n }\n throw new OpenAIError('Cannot generate base64 string; Expected `Buffer` or `btoa` to be defined');\n};\nexport const fromBase64 = (str) => {\n if (typeof globalThis.Buffer !== 'undefined') {\n const buf = globalThis.Buffer.from(str, 'base64');\n return new Uint8Array(buf.buffer, buf.byteOffset, buf.byteLength);\n }\n if (typeof atob !== 'undefined') {\n const bstr = atob(str);\n const buf = new Uint8Array(bstr.length);\n for (let i = 0; i < bstr.length; i++) {\n buf[i] = bstr.charCodeAt(i);\n }\n return buf;\n }\n throw new OpenAIError('Cannot decode base64 string; Expected `Buffer` or `atob` to be defined');\n};\n/**\n * Converts a Base64 encoded string to a Float32Array.\n * @param base64Str - The Base64 encoded string.\n * @returns An Array of numbers interpreted as Float32 values.\n */\nexport const toFloat32Array = (base64Str) => {\n if (typeof Buffer !== 'undefined') {\n // for Node.js environment\n const buf = Buffer.from(base64Str, 'base64');\n return Array.from(new Float32Array(buf.buffer, buf.byteOffset, buf.length / Float32Array.BYTES_PER_ELEMENT));\n }\n else {\n // for legacy web platform APIs\n const binaryStr = atob(base64Str);\n const len = binaryStr.length;\n const bytes = new Uint8Array(len);\n for (let i = 0; i < len; i++) {\n bytes[i] = binaryStr.charCodeAt(i);\n }\n return Array.from(new Float32Array(bytes.buffer));\n }\n};\n//# sourceMappingURL=base64.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * Read an environment variable.\n *\n * Trims beginning and trailing whitespace.\n *\n * Will return undefined if the environment variable doesn't exist or cannot be accessed.\n */\nexport const readEnv = (env) => {\n if (typeof globalThis.process !== 'undefined') {\n return globalThis.process.env?.[env]?.trim() ?? undefined;\n }\n if (typeof globalThis.Deno !== 'undefined') {\n return globalThis.Deno.env?.get?.(env)?.trim();\n }\n return undefined;\n};\n//# sourceMappingURL=env.mjs.map","var _AssistantStream_instances, _a, _AssistantStream_events, _AssistantStream_runStepSnapshots, _AssistantStream_messageSnapshots, _AssistantStream_messageSnapshot, _AssistantStream_finalRun, _AssistantStream_currentContentIndex, _AssistantStream_currentContent, _AssistantStream_currentToolCallIndex, _AssistantStream_currentToolCall, _AssistantStream_currentEvent, _AssistantStream_currentRunSnapshot, _AssistantStream_currentRunStepSnapshot, _AssistantStream_addEvent, _AssistantStream_endRequest, _AssistantStream_handleMessage, _AssistantStream_handleRunStep, _AssistantStream_handleEvent, _AssistantStream_accumulateRunStep, _AssistantStream_accumulateMessage, _AssistantStream_accumulateContent, _AssistantStream_handleRun;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isObj } from \"../internal/utils.mjs\";\nexport class AssistantStream extends EventStream {\n constructor() {\n super(...arguments);\n _AssistantStream_instances.add(this);\n //Track all events in a single list for reference\n _AssistantStream_events.set(this, []);\n //Used to accumulate deltas\n //We are accumulating many types so the value here is not strict\n _AssistantStream_runStepSnapshots.set(this, {});\n _AssistantStream_messageSnapshots.set(this, {});\n _AssistantStream_messageSnapshot.set(this, void 0);\n _AssistantStream_finalRun.set(this, void 0);\n _AssistantStream_currentContentIndex.set(this, void 0);\n _AssistantStream_currentContent.set(this, void 0);\n _AssistantStream_currentToolCallIndex.set(this, void 0);\n _AssistantStream_currentToolCall.set(this, void 0);\n //For current snapshot methods\n _AssistantStream_currentEvent.set(this, void 0);\n _AssistantStream_currentRunSnapshot.set(this, void 0);\n _AssistantStream_currentRunStepSnapshot.set(this, void 0);\n }\n [(_AssistantStream_events = new WeakMap(), _AssistantStream_runStepSnapshots = new WeakMap(), _AssistantStream_messageSnapshots = new WeakMap(), _AssistantStream_messageSnapshot = new WeakMap(), _AssistantStream_finalRun = new WeakMap(), _AssistantStream_currentContentIndex = new WeakMap(), _AssistantStream_currentContent = new WeakMap(), _AssistantStream_currentToolCallIndex = new WeakMap(), _AssistantStream_currentToolCall = new WeakMap(), _AssistantStream_currentEvent = new WeakMap(), _AssistantStream_currentRunSnapshot = new WeakMap(), _AssistantStream_currentRunStepSnapshot = new WeakMap(), _AssistantStream_instances = new WeakSet(), Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n //Catch all for passing along all events\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n static fromReadableStream(stream) {\n const runner = new _a();\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n static createToolAssistantStream(runId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runToolAssistantStream(runId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createToolAssistantStream(run, runId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.submitToolOutputs(runId, body, {\n ...options,\n signal: this.controller.signal,\n });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static createThreadAssistantStream(params, thread, options) {\n const runner = new _a();\n runner._run(() => runner._threadAssistantStream(params, thread, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n static createAssistantStream(threadId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runAssistantStream(threadId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n currentEvent() {\n return __classPrivateFieldGet(this, _AssistantStream_currentEvent, \"f\");\n }\n currentRun() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunSnapshot, \"f\");\n }\n currentMessageSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\");\n }\n currentRunStepSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunStepSnapshot, \"f\");\n }\n async finalRunSteps() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\"));\n }\n async finalMessages() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\"));\n }\n async finalRun() {\n await this.done();\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run was not received.');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n }\n async _createThreadAssistantStream(thread, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await thread.createAndRun(body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n async _createAssistantStream(run, threadId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.create(threadId, body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static accumulateDelta(acc, delta) {\n for (const [key, deltaValue] of Object.entries(delta)) {\n if (!acc.hasOwnProperty(key)) {\n acc[key] = deltaValue;\n continue;\n }\n let accValue = acc[key];\n if (accValue === null || accValue === undefined) {\n acc[key] = deltaValue;\n continue;\n }\n // We don't accumulate these special properties\n if (key === 'index' || key === 'type') {\n acc[key] = deltaValue;\n continue;\n }\n // Type-specific accumulation logic\n if (typeof accValue === 'string' && typeof deltaValue === 'string') {\n accValue += deltaValue;\n }\n else if (typeof accValue === 'number' && typeof deltaValue === 'number') {\n accValue += deltaValue;\n }\n else if (isObj(accValue) && isObj(deltaValue)) {\n accValue = this.accumulateDelta(accValue, deltaValue);\n }\n else if (Array.isArray(accValue) && Array.isArray(deltaValue)) {\n if (accValue.every((x) => typeof x === 'string' || typeof x === 'number')) {\n accValue.push(...deltaValue); // Use spread syntax for efficient addition\n continue;\n }\n for (const deltaEntry of deltaValue) {\n if (!isObj(deltaEntry)) {\n throw new Error(`Expected array delta entry to be an object but got: ${deltaEntry}`);\n }\n const index = deltaEntry['index'];\n if (index == null) {\n console.error(deltaEntry);\n throw new Error('Expected array delta entry to have an `index` property');\n }\n if (typeof index !== 'number') {\n throw new Error(`Expected array delta entry \\`index\\` property to be a number but got ${index}`);\n }\n const accEntry = accValue[index];\n if (accEntry == null) {\n accValue.push(deltaEntry);\n }\n else {\n accValue[index] = this.accumulateDelta(accEntry, deltaEntry);\n }\n }\n continue;\n }\n else {\n throw Error(`Unhandled record type: ${key}, deltaValue: ${deltaValue}, accValue: ${accValue}`);\n }\n acc[key] = accValue;\n }\n return acc;\n }\n _addRun(run) {\n return run;\n }\n async _threadAssistantStream(params, thread, options) {\n return await this._createThreadAssistantStream(thread, params, options);\n }\n async _runAssistantStream(threadId, runs, params, options) {\n return await this._createAssistantStream(runs, threadId, params, options);\n }\n async _runToolAssistantStream(runId, runs, params, options) {\n return await this._createToolAssistantStream(runs, runId, params, options);\n }\n}\n_a = AssistantStream, _AssistantStream_addEvent = function _AssistantStream_addEvent(event) {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _AssistantStream_currentEvent, event, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleEvent).call(this, event);\n switch (event.event) {\n case 'thread.created':\n //No action on this event.\n break;\n case 'thread.run.created':\n case 'thread.run.queued':\n case 'thread.run.in_progress':\n case 'thread.run.requires_action':\n case 'thread.run.completed':\n case 'thread.run.incomplete':\n case 'thread.run.failed':\n case 'thread.run.cancelling':\n case 'thread.run.cancelled':\n case 'thread.run.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRun).call(this, event);\n break;\n case 'thread.run.step.created':\n case 'thread.run.step.in_progress':\n case 'thread.run.step.delta':\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRunStep).call(this, event);\n break;\n case 'thread.message.created':\n case 'thread.message.in_progress':\n case 'thread.message.delta':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleMessage).call(this, event);\n break;\n case 'error':\n //This is included for completeness, but errors are processed in the SSE event processing so this should not occur\n throw new Error('Encountered an error event in event processing - errors should be processed earlier');\n default:\n assertNever(event);\n }\n}, _AssistantStream_endRequest = function _AssistantStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run has not been received');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n}, _AssistantStream_handleMessage = function _AssistantStream_handleMessage(event) {\n const [accumulatedMessage, newContent] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateMessage).call(this, event, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, accumulatedMessage, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\")[accumulatedMessage.id] = accumulatedMessage;\n for (const content of newContent) {\n const snapshotContent = accumulatedMessage.content[content.index];\n if (snapshotContent?.type == 'text') {\n this._emit('textCreated', snapshotContent.text);\n }\n }\n switch (event.event) {\n case 'thread.message.created':\n this._emit('messageCreated', event.data);\n break;\n case 'thread.message.in_progress':\n break;\n case 'thread.message.delta':\n this._emit('messageDelta', event.data.delta, accumulatedMessage);\n if (event.data.delta.content) {\n for (const content of event.data.delta.content) {\n //If it is text delta, emit a text delta event\n if (content.type == 'text' && content.text) {\n let textDelta = content.text;\n let snapshot = accumulatedMessage.content[content.index];\n if (snapshot && snapshot.type == 'text') {\n this._emit('textDelta', textDelta, snapshot.text);\n }\n else {\n throw Error('The snapshot associated with this text delta is not text or missing');\n }\n }\n if (content.index != __classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")) {\n //See if we have in progress content\n if (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\")) {\n switch (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").type) {\n case 'text':\n this._emit('textDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'image_file':\n this._emit('imageFileDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContentIndex, content.index, \"f\");\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContent, accumulatedMessage.content[content.index], \"f\");\n }\n }\n break;\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //We emit the latest content we were working on on completion (including incomplete)\n if (__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\") !== undefined) {\n const currentContent = event.data.content[__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")];\n if (currentContent) {\n switch (currentContent.type) {\n case 'image_file':\n this._emit('imageFileDone', currentContent.image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'text':\n this._emit('textDone', currentContent.text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n }\n if (__classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\")) {\n this._emit('messageDone', event.data);\n }\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, undefined, \"f\");\n }\n}, _AssistantStream_handleRunStep = function _AssistantStream_handleRunStep(event) {\n const accumulatedRunStep = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateRunStep).call(this, event);\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, accumulatedRunStep, \"f\");\n switch (event.event) {\n case 'thread.run.step.created':\n this._emit('runStepCreated', event.data);\n break;\n case 'thread.run.step.delta':\n const delta = event.data.delta;\n if (delta.step_details &&\n delta.step_details.type == 'tool_calls' &&\n delta.step_details.tool_calls &&\n accumulatedRunStep.step_details.type == 'tool_calls') {\n for (const toolCall of delta.step_details.tool_calls) {\n if (toolCall.index == __classPrivateFieldGet(this, _AssistantStream_currentToolCallIndex, \"f\")) {\n this._emit('toolCallDelta', toolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index]);\n }\n else {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n __classPrivateFieldSet(this, _AssistantStream_currentToolCallIndex, toolCall.index, \"f\");\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index], \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"))\n this._emit('toolCallCreated', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n }\n }\n this._emit('runStepDelta', event.data.delta, accumulatedRunStep);\n break;\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, undefined, \"f\");\n const details = event.data.step_details;\n if (details.type == 'tool_calls') {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n }\n this._emit('runStepDone', event.data, accumulatedRunStep);\n break;\n case 'thread.run.step.in_progress':\n break;\n }\n}, _AssistantStream_handleEvent = function _AssistantStream_handleEvent(event) {\n __classPrivateFieldGet(this, _AssistantStream_events, \"f\").push(event);\n this._emit('event', event);\n}, _AssistantStream_accumulateRunStep = function _AssistantStream_accumulateRunStep(event) {\n switch (event.event) {\n case 'thread.run.step.created':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n return event.data;\n case 'thread.run.step.delta':\n let snapshot = __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n if (!snapshot) {\n throw Error('Received a RunStepDelta before creation of a snapshot');\n }\n let data = event.data;\n if (data.delta) {\n const accumulated = _a.accumulateDelta(snapshot, data.delta);\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = accumulated;\n }\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n case 'thread.run.step.in_progress':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n break;\n }\n if (__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id])\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n throw new Error('No snapshot available');\n}, _AssistantStream_accumulateMessage = function _AssistantStream_accumulateMessage(event, snapshot) {\n let newContent = [];\n switch (event.event) {\n case 'thread.message.created':\n //On creation the snapshot is just the initial message\n return [event.data, newContent];\n case 'thread.message.delta':\n if (!snapshot) {\n throw Error('Received a delta with no existing snapshot (there should be one from message creation)');\n }\n let data = event.data;\n //If this delta does not have content, nothing to process\n if (data.delta.content) {\n for (const contentElement of data.delta.content) {\n if (contentElement.index in snapshot.content) {\n let currentContent = snapshot.content[contentElement.index];\n snapshot.content[contentElement.index] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateContent).call(this, contentElement, currentContent);\n }\n else {\n snapshot.content[contentElement.index] = contentElement;\n // This is a new element\n newContent.push(contentElement);\n }\n }\n }\n return [snapshot, newContent];\n case 'thread.message.in_progress':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //No changes on other thread events\n if (snapshot) {\n return [snapshot, newContent];\n }\n else {\n throw Error('Received thread message event with no existing snapshot');\n }\n }\n throw Error('Tried to accumulate a non-message event');\n}, _AssistantStream_accumulateContent = function _AssistantStream_accumulateContent(contentElement, currentContent) {\n return _a.accumulateDelta(currentContent, contentElement);\n}, _AssistantStream_handleRun = function _AssistantStream_handleRun(event) {\n __classPrivateFieldSet(this, _AssistantStream_currentRunSnapshot, event.data, \"f\");\n switch (event.event) {\n case 'thread.run.created':\n break;\n case 'thread.run.queued':\n break;\n case 'thread.run.in_progress':\n break;\n case 'thread.run.requires_action':\n case 'thread.run.cancelled':\n case 'thread.run.failed':\n case 'thread.run.completed':\n case 'thread.run.expired':\n case 'thread.run.incomplete':\n __classPrivateFieldSet(this, _AssistantStream_finalRun, event.data, \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n break;\n case 'thread.run.cancelling':\n break;\n }\n};\nfunction assertNever(_x) { }\n//# sourceMappingURL=AssistantStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport * as StepsAPI from \"./steps.mjs\";\nimport { Steps, } from \"./steps.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../../lib/AssistantStream.mjs\";\nimport { sleep } from \"../../../../internal/utils/sleep.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.steps = new StepsAPI.Steps(this._client);\n }\n create(threadID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/threads/${threadID}/runs`, {\n query: { include },\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * Retrieves a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(runID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${runID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of runs belonging to a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/runs`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancels a run that is `in_progress`.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n cancel(runID, params, options) {\n const { thread_id } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * A helper to create a run an poll for a terminal state. More information on Run\n * lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndPoll(threadId, body, options) {\n const run = await this.create(threadId, body, options);\n return await this.poll(run.id, { thread_id: threadId }, options);\n }\n /**\n * Create a Run stream\n *\n * @deprecated use `stream` instead\n */\n createAndStream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n /**\n * A helper to poll a run status until it reaches a terminal state. More\n * information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async poll(runId, params, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: run, response } = await this.retrieve(runId, params, {\n ...options,\n headers: { ...options?.headers, ...headers },\n }).withResponse();\n switch (run.status) {\n //If we are in any sort of intermediate state we poll\n case 'queued':\n case 'in_progress':\n case 'cancelling':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n //We return the run in any terminal state.\n case 'requires_action':\n case 'incomplete':\n case 'cancelled':\n case 'completed':\n case 'failed':\n case 'expired':\n return run;\n }\n }\n }\n /**\n * Create a Run stream\n */\n stream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n submitToolOutputs(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/submit_tool_outputs`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * A helper to submit a tool output to a run and poll for a terminal run state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async submitToolOutputsAndPoll(runId, params, options) {\n const run = await this.submitToolOutputs(runId, params, options);\n return await this.poll(run.id, params, options);\n }\n /**\n * Submit the tool outputs from a previous run and stream the run to a terminal\n * state. More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n submitToolOutputsStream(runId, params, options) {\n return AssistantStream.createToolAssistantStream(runId, this._client.beta.threads.runs, params, options);\n }\n}\nRuns.Steps = Steps;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages, } from \"./messages.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../lib/AssistantStream.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Threads extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n /**\n * Create a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(body = {}, options) {\n return this._client.post('/threads', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(threadID, options) {\n return this._client.get(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(threadID, options) {\n return this._client.delete(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n createAndRun(body, options) {\n return this._client.post('/threads/runs', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: body.stream ?? false,\n });\n }\n /**\n * A helper to create a thread, start a run and then poll for a terminal state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndRunPoll(body, options) {\n const run = await this.createAndRun(body, options);\n return await this.runs.poll(run.id, { thread_id: run.thread_id }, options);\n }\n /**\n * Create a thread and stream the run back\n */\n createAndRunStream(body, options) {\n return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options);\n }\n}\nThreads.Runs = Runs;\nThreads.Messages = Messages;\n//# sourceMappingURL=threads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as AssistantsAPI from \"./assistants.mjs\";\nimport { Assistants, } from \"./assistants.mjs\";\nimport * as RealtimeAPI from \"./realtime/realtime.mjs\";\nimport { Realtime, } from \"./realtime/realtime.mjs\";\nimport * as ThreadsAPI from \"./threads/threads.mjs\";\nimport { Threads, } from \"./threads/threads.mjs\";\nexport class Beta extends APIResource {\n constructor() {\n super(...arguments);\n this.realtime = new RealtimeAPI.Realtime(this._client);\n this.assistants = new AssistantsAPI.Assistants(this._client);\n this.threads = new ThreadsAPI.Threads(this._client);\n }\n}\nBeta.Realtime = Realtime;\nBeta.Assistants = Assistants;\nBeta.Threads = Threads;\n//# sourceMappingURL=beta.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Completions extends APIResource {\n create(body, options) {\n return this._client.post('/completions', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Content extends APIResource {\n /**\n * Retrieve Container File Content\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=content.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as ContentAPI from \"./content.mjs\";\nimport { Content } from \"./content.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { multipartFormRequestOptions } from \"../../../internal/uploads.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n constructor() {\n super(...arguments);\n this.content = new ContentAPI.Content(this._client);\n }\n /**\n * Create a Container File\n *\n * You can send either a multipart/form-data request with the raw file content, or\n * a JSON request with a file ID.\n */\n create(containerID, body, options) {\n return this._client.post(path `/containers/${containerID}/files`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Retrieve Container File\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}`, options);\n }\n /**\n * List Container files\n */\n list(containerID, query = {}, options) {\n return this._client.getAPIList(path `/containers/${containerID}/files`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete Container File\n */\n delete(fileID, params, options) {\n const { container_id } = params;\n return this._client.delete(path `/containers/${container_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nFiles.Content = Content;\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FilesAPI from \"./files/files.mjs\";\nimport { Files, } from \"./files/files.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Containers extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n }\n /**\n * Create Container\n */\n create(body, options) {\n return this._client.post('/containers', { body, ...options });\n }\n /**\n * Retrieve Container\n */\n retrieve(containerID, options) {\n return this._client.get(path `/containers/${containerID}`, options);\n }\n /**\n * List Containers\n */\n list(query = {}, options) {\n return this._client.getAPIList('/containers', (CursorPage), { query, ...options });\n }\n /**\n * Delete Container\n */\n delete(containerID, options) {\n return this._client.delete(path `/containers/${containerID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nContainers.Files = Files;\n//# sourceMappingURL=containers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { ConversationCursorPage, } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Items extends APIResource {\n /**\n * Create items in a conversation with the given ID.\n */\n create(conversationID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/conversations/${conversationID}/items`, {\n query: { include },\n body,\n ...options,\n });\n }\n /**\n * Get a single item from a conversation with the given IDs.\n */\n retrieve(itemID, params, options) {\n const { conversation_id, ...query } = params;\n return this._client.get(path `/conversations/${conversation_id}/items/${itemID}`, { query, ...options });\n }\n /**\n * List all items for a conversation with the given ID.\n */\n list(conversationID, query = {}, options) {\n return this._client.getAPIList(path `/conversations/${conversationID}/items`, (ConversationCursorPage), { query, ...options });\n }\n /**\n * Delete an item from a conversation with the given IDs.\n */\n delete(itemID, params, options) {\n const { conversation_id } = params;\n return this._client.delete(path `/conversations/${conversation_id}/items/${itemID}`, options);\n }\n}\n//# sourceMappingURL=items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ItemsAPI from \"./items.mjs\";\nimport { Items, } from \"./items.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Conversations extends APIResource {\n constructor() {\n super(...arguments);\n this.items = new ItemsAPI.Items(this._client);\n }\n /**\n * Create a conversation.\n */\n create(body = {}, options) {\n return this._client.post('/conversations', { body, ...options });\n }\n /**\n * Get a conversation\n */\n retrieve(conversationID, options) {\n return this._client.get(path `/conversations/${conversationID}`, options);\n }\n /**\n * Update a conversation\n */\n update(conversationID, body, options) {\n return this._client.post(path `/conversations/${conversationID}`, { body, ...options });\n }\n /**\n * Delete a conversation. Items in the conversation will not be deleted.\n */\n delete(conversationID, options) {\n return this._client.delete(path `/conversations/${conversationID}`, options);\n }\n}\nConversations.Items = Items;\n//# sourceMappingURL=conversations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { loggerFor, toFloat32Array } from \"../internal/utils.mjs\";\nexport class Embeddings extends APIResource {\n /**\n * Creates an embedding vector representing the input text.\n *\n * @example\n * ```ts\n * const createEmbeddingResponse =\n * await client.embeddings.create({\n * input: 'The quick brown fox jumped over the lazy dog',\n * model: 'text-embedding-3-small',\n * });\n * ```\n */\n create(body, options) {\n const hasUserProvidedEncodingFormat = !!body.encoding_format;\n // No encoding_format specified, defaulting to base64 for performance reasons\n // See https://github.com/openai/openai-node/pull/1312\n let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';\n if (hasUserProvidedEncodingFormat) {\n loggerFor(this._client).debug('embeddings/user defined encoding_format:', body.encoding_format);\n }\n const response = this._client.post('/embeddings', {\n body: {\n ...body,\n encoding_format: encoding_format,\n },\n ...options,\n });\n // if the user specified an encoding_format, return the response as-is\n if (hasUserProvidedEncodingFormat) {\n return response;\n }\n // in this stage, we are sure the user did not specify an encoding_format\n // and we defaulted to base64 for performance reasons\n // we are sure then that the response is base64 encoded, let's decode it\n // the returned result will be a float32 array since this is OpenAI API's default encoding\n loggerFor(this._client).debug('embeddings/decoding base64 embeddings from base64');\n return response._thenUnwrap((response) => {\n if (response && response.data) {\n response.data.forEach((embeddingBase64Obj) => {\n const embeddingBase64Str = embeddingBase64Obj.embedding;\n embeddingBase64Obj.embedding = toFloat32Array(embeddingBase64Str);\n });\n }\n return response;\n });\n }\n}\n//# sourceMappingURL=embeddings.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class OutputItems extends APIResource {\n /**\n * Get an evaluation run output item by ID.\n */\n retrieve(outputItemID, params, options) {\n const { eval_id, run_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);\n }\n /**\n * Get a list of output items for an evaluation run.\n */\n list(runID, params, options) {\n const { eval_id, ...query } = params;\n return this._client.getAPIList(path `/evals/${eval_id}/runs/${runID}/output_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=output-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as OutputItemsAPI from \"./output-items.mjs\";\nimport { OutputItems, } from \"./output-items.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.outputItems = new OutputItemsAPI.OutputItems(this._client);\n }\n /**\n * Kicks off a new run for a given evaluation, specifying the data source, and what\n * model configuration to use to test. The datasource will be validated against the\n * schema specified in the config of the evaluation.\n */\n create(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}/runs`, { body, ...options });\n }\n /**\n * Get an evaluation run by ID.\n */\n retrieve(runID, params, options) {\n const { eval_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Get a list of runs for an evaluation.\n */\n list(evalID, query = {}, options) {\n return this._client.getAPIList(path `/evals/${evalID}/runs`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete an eval run.\n */\n delete(runID, params, options) {\n const { eval_id } = params;\n return this._client.delete(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Cancel an ongoing evaluation run.\n */\n cancel(runID, params, options) {\n const { eval_id } = params;\n return this._client.post(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n}\nRuns.OutputItems = OutputItems;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Evals extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n }\n /**\n * Create the structure of an evaluation that can be used to test a model's\n * performance. An evaluation is a set of testing criteria and the config for a\n * data source, which dictates the schema of the data used in the evaluation. After\n * creating an evaluation, you can run it on different models and model parameters.\n * We support several types of graders and datasources. For more information, see\n * the [Evals guide](https://platform.openai.com/docs/guides/evals).\n */\n create(body, options) {\n return this._client.post('/evals', { body, ...options });\n }\n /**\n * Get an evaluation by ID.\n */\n retrieve(evalID, options) {\n return this._client.get(path `/evals/${evalID}`, options);\n }\n /**\n * Update certain properties of an evaluation.\n */\n update(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}`, { body, ...options });\n }\n /**\n * List evaluations for a project.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/evals', (CursorPage), { query, ...options });\n }\n /**\n * Delete an evaluation.\n */\n delete(evalID, options) {\n return this._client.delete(path `/evals/${evalID}`, options);\n }\n}\nEvals.Runs = Runs;\n//# sourceMappingURL=evals.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nimport { sleep } from \"../internal/utils/sleep.mjs\";\nimport { APIConnectionTimeoutError } from \"../error.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Upload a file that can be used across various endpoints. Individual files can be\n * up to 512 MB, and the size of all files uploaded by one organization can be up\n * to 1 TB.\n *\n * The Assistants API supports files up to 2 million tokens and of specific file\n * types. See the\n * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for\n * details.\n *\n * The Fine-tuning API only supports `.jsonl` files. The input also has certain\n * required formats for fine-tuning\n * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or\n * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)\n * models.\n *\n * The Batch API only supports `.jsonl` files up to 200 MB in size. The input also\n * has a specific required\n * [format](https://platform.openai.com/docs/api-reference/batch/request-input).\n *\n * Please [contact us](https://help.openai.com/) if you need to increase these\n * storage limits.\n */\n create(body, options) {\n return this._client.post('/files', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Returns information about a specific file.\n */\n retrieve(fileID, options) {\n return this._client.get(path `/files/${fileID}`, options);\n }\n /**\n * Returns a list of files.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/files', (CursorPage), { query, ...options });\n }\n /**\n * Delete a file.\n */\n delete(fileID, options) {\n return this._client.delete(path `/files/${fileID}`, options);\n }\n /**\n * Returns the contents of the specified file.\n */\n content(fileID, options) {\n return this._client.get(path `/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n /**\n * Waits for the given file to be processed, default timeout is 30 mins.\n */\n async waitForProcessing(id, { pollInterval = 5000, maxWait = 30 * 60 * 1000 } = {}) {\n const TERMINAL_STATES = new Set(['processed', 'error', 'deleted']);\n const start = Date.now();\n let file = await this.retrieve(id);\n while (!file.status || !TERMINAL_STATES.has(file.status)) {\n await sleep(pollInterval);\n file = await this.retrieve(id);\n if (Date.now() - start > maxWait) {\n throw new APIConnectionTimeoutError({\n message: `Giving up on waiting for file ${id} to finish processing after ${maxWait} milliseconds.`,\n });\n }\n }\n return file;\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class Methods extends APIResource {\n}\n//# sourceMappingURL=methods.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nexport class Graders extends APIResource {\n /**\n * Run a grader.\n *\n * @example\n * ```ts\n * const response = await client.fineTuning.alpha.graders.run({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * model_sample: 'model_sample',\n * });\n * ```\n */\n run(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/run', { body, ...options });\n }\n /**\n * Validate a grader.\n *\n * @example\n * ```ts\n * const response =\n * await client.fineTuning.alpha.graders.validate({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * });\n * ```\n */\n validate(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options });\n }\n}\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as GradersAPI from \"./graders.mjs\";\nimport { Graders, } from \"./graders.mjs\";\nexport class Alpha extends APIResource {\n constructor() {\n super(...arguments);\n this.graders = new GradersAPI.Graders(this._client);\n }\n}\nAlpha.Graders = Graders;\n//# sourceMappingURL=alpha.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { Page } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Permissions extends APIResource {\n /**\n * **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).\n *\n * This enables organization owners to share fine-tuned models with other projects\n * in their organization.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const permissionCreateResponse of client.fineTuning.checkpoints.permissions.create(\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * { project_ids: ['string'] },\n * )) {\n * // ...\n * }\n * ```\n */\n create(fineTunedModelCheckpoint, body, options) {\n return this._client.getAPIList(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, (Page), { body, method: 'post', ...options });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to view all permissions for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTunedModelCheckpoint, query = {}, options) {\n return this._client.get(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, {\n query,\n ...options,\n });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to delete a permission for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.delete(\n * 'cp_zc4Q7MP6XxulcVzj4MZdwsAB',\n * {\n * fine_tuned_model_checkpoint:\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * },\n * );\n * ```\n */\n delete(permissionID, params, options) {\n const { fine_tuned_model_checkpoint } = params;\n return this._client.delete(path `/fine_tuning/checkpoints/${fine_tuned_model_checkpoint}/permissions/${permissionID}`, options);\n }\n}\n//# sourceMappingURL=permissions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as PermissionsAPI from \"./permissions.mjs\";\nimport { Permissions, } from \"./permissions.mjs\";\nexport class Checkpoints extends APIResource {\n constructor() {\n super(...arguments);\n this.permissions = new PermissionsAPI.Permissions(this._client);\n }\n}\nCheckpoints.Permissions = Permissions;\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Checkpoints extends APIResource {\n /**\n * List checkpoints for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobCheckpoint of client.fineTuning.jobs.checkpoints.list(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n list(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/checkpoints`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints.mjs\";\nimport { Checkpoints, } from \"./checkpoints.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Jobs extends APIResource {\n constructor() {\n super(...arguments);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n }\n /**\n * Creates a fine-tuning job which begins the process of creating a new model from\n * a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.create({\n * model: 'gpt-4o-mini',\n * training_file: 'file-abc123',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/fine_tuning/jobs', { body, ...options });\n }\n /**\n * Get info about a fine-tuning job.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTuningJobID, options) {\n return this._client.get(path `/fine_tuning/jobs/${fineTuningJobID}`, options);\n }\n /**\n * List your organization's fine-tuning jobs\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJob of client.fineTuning.jobs.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/fine_tuning/jobs', (CursorPage), { query, ...options });\n }\n /**\n * Immediately cancel a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.cancel(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n cancel(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/cancel`, options);\n }\n /**\n * Get status updates for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n listEvents(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/events`, (CursorPage), { query, ...options });\n }\n /**\n * Pause a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.pause(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n pause(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/pause`, options);\n }\n /**\n * Resume a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.resume(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n resume(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/resume`, options);\n }\n}\nJobs.Checkpoints = Checkpoints;\n//# sourceMappingURL=jobs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as MethodsAPI from \"./methods.mjs\";\nimport { Methods, } from \"./methods.mjs\";\nimport * as AlphaAPI from \"./alpha/alpha.mjs\";\nimport { Alpha } from \"./alpha/alpha.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints/checkpoints.mjs\";\nimport { Checkpoints } from \"./checkpoints/checkpoints.mjs\";\nimport * as JobsAPI from \"./jobs/jobs.mjs\";\nimport { Jobs, } from \"./jobs/jobs.mjs\";\nexport class FineTuning extends APIResource {\n constructor() {\n super(...arguments);\n this.methods = new MethodsAPI.Methods(this._client);\n this.jobs = new JobsAPI.Jobs(this._client);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n this.alpha = new AlphaAPI.Alpha(this._client);\n }\n}\nFineTuning.Methods = Methods;\nFineTuning.Jobs = Jobs;\nFineTuning.Checkpoints = Checkpoints;\nFineTuning.Alpha = Alpha;\n//# sourceMappingURL=fine-tuning.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class GraderModels extends APIResource {\n}\n//# sourceMappingURL=grader-models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as GraderModelsAPI from \"./grader-models.mjs\";\nimport { GraderModels, } from \"./grader-models.mjs\";\nexport class Graders extends APIResource {\n constructor() {\n super(...arguments);\n this.graderModels = new GraderModelsAPI.GraderModels(this._client);\n }\n}\nGraders.GraderModels = GraderModels;\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nexport class Images extends APIResource {\n /**\n * Creates a variation of a given image. This endpoint only supports `dall-e-2`.\n *\n * @example\n * ```ts\n * const imagesResponse = await client.images.createVariation({\n * image: fs.createReadStream('otter.png'),\n * });\n * ```\n */\n createVariation(body, options) {\n return this._client.post('/images/variations', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n edit(body, options) {\n return this._client.post('/images/edits', multipartFormRequestOptions({ body, ...options, stream: body.stream ?? false }, this._client));\n }\n generate(body, options) {\n return this._client.post('/images/generations', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=images.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { Page } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Models extends APIResource {\n /**\n * Retrieves a model instance, providing basic information about the model such as\n * the owner and permissioning.\n */\n retrieve(model, options) {\n return this._client.get(path `/models/${model}`, options);\n }\n /**\n * Lists the currently available models, and provides basic information about each\n * one such as the owner and availability.\n */\n list(options) {\n return this._client.getAPIList('/models', (Page), options);\n }\n /**\n * Delete a fine-tuned model. You must have the Owner role in your organization to\n * delete a model.\n */\n delete(model, options) {\n return this._client.delete(path `/models/${model}`, options);\n }\n}\n//# sourceMappingURL=models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Moderations extends APIResource {\n /**\n * Classifies if text and/or image inputs are potentially harmful. Learn more in\n * the [moderation guide](https://platform.openai.com/docs/guides/moderation).\n */\n create(body, options) {\n return this._client.post('/moderations', { body, ...options });\n }\n}\n//# sourceMappingURL=moderations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class ClientSecrets extends APIResource {\n /**\n * Create a Realtime client secret with an associated session configuration.\n */\n create(body, options) {\n return this._client.post('/realtime/client_secrets', { body, ...options });\n }\n}\n//# sourceMappingURL=client-secrets.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ClientSecretsAPI from \"./client-secrets.mjs\";\nimport { ClientSecrets, } from \"./client-secrets.mjs\";\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.clientSecrets = new ClientSecretsAPI.ClientSecrets(this._client);\n }\n}\nRealtime.ClientSecrets = ClientSecrets;\n//# sourceMappingURL=realtime.mjs.map","import { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableResponseFormat } from \"../lib/parser.mjs\";\nexport function maybeParseResponse(response, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...response,\n output_parsed: null,\n output: response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: null,\n };\n }\n if (item.type === 'message') {\n return {\n ...item,\n content: item.content.map((content) => ({\n ...content,\n parsed: null,\n })),\n };\n }\n else {\n return item;\n }\n }),\n };\n }\n return parseResponse(response, params);\n}\nexport function parseResponse(response, params) {\n const output = response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: parseToolCall(params, item),\n };\n }\n if (item.type === 'message') {\n const content = item.content.map((content) => {\n if (content.type === 'output_text') {\n return {\n ...content,\n parsed: parseTextFormat(params, content.text),\n };\n }\n return content;\n });\n return {\n ...item,\n content,\n };\n }\n return item;\n });\n const parsed = Object.assign({}, response, { output });\n if (!Object.getOwnPropertyDescriptor(response, 'output_text')) {\n addOutputText(parsed);\n }\n Object.defineProperty(parsed, 'output_parsed', {\n enumerable: true,\n get() {\n for (const output of parsed.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text' && content.parsed !== null) {\n return content.parsed;\n }\n }\n }\n return null;\n },\n });\n return parsed;\n}\nfunction parseTextFormat(params, content) {\n if (params.text?.format?.type !== 'json_schema') {\n return null;\n }\n if ('$parseRaw' in params.text?.format) {\n const text_format = params.text?.format;\n return text_format.$parseRaw(content);\n }\n return JSON.parse(content);\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.text?.format)) {\n return true;\n }\n return false;\n}\nexport function makeParseableResponseTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nfunction getInputToolByName(input_tools, name) {\n return input_tools.find((tool) => tool.type === 'function' && tool.name === name);\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return {\n ...toolCall,\n ...toolCall,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.arguments)\n : inputTool?.strict ? JSON.parse(toolCall.arguments)\n : null,\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params) {\n return false;\n }\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return isAutoParsableTool(inputTool) || inputTool?.strict || false;\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\nexport function addOutputText(rsp) {\n const texts = [];\n for (const output of rsp.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text') {\n texts.push(content.text);\n }\n }\n }\n rsp.output_text = texts.join('');\n}\n//# sourceMappingURL=ResponsesParser.mjs.map","var _ResponseStream_instances, _ResponseStream_params, _ResponseStream_currentResponseSnapshot, _ResponseStream_finalResponse, _ResponseStream_beginRequest, _ResponseStream_addEvent, _ResponseStream_endRequest, _ResponseStream_accumulateResponse;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../../error.mjs\";\nimport { EventStream } from \"../EventStream.mjs\";\nimport { maybeParseResponse } from \"../ResponsesParser.mjs\";\nexport class ResponseStream extends EventStream {\n constructor(params) {\n super();\n _ResponseStream_instances.add(this);\n _ResponseStream_params.set(this, void 0);\n _ResponseStream_currentResponseSnapshot.set(this, void 0);\n _ResponseStream_finalResponse.set(this, void 0);\n __classPrivateFieldSet(this, _ResponseStream_params, params, \"f\");\n }\n static createResponse(client, params, options) {\n const runner = new ResponseStream(params);\n runner._run(() => runner._createOrRetrieveResponse(client, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createOrRetrieveResponse(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_beginRequest).call(this);\n let stream;\n let starting_after = null;\n if ('response_id' in params) {\n stream = await client.responses.retrieve(params.response_id, { stream: true }, { ...options, signal: this.controller.signal, stream: true });\n starting_after = params.starting_after ?? null;\n }\n else {\n stream = await client.responses.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n }\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_addEvent).call(this, event, starting_after);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_endRequest).call(this);\n }\n [(_ResponseStream_params = new WeakMap(), _ResponseStream_currentResponseSnapshot = new WeakMap(), _ResponseStream_finalResponse = new WeakMap(), _ResponseStream_instances = new WeakSet(), _ResponseStream_beginRequest = function _ResponseStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n }, _ResponseStream_addEvent = function _ResponseStream_addEvent(event, starting_after) {\n if (this.ended)\n return;\n const maybeEmit = (name, event) => {\n if (starting_after == null || event.sequence_number > starting_after) {\n this._emit(name, event);\n }\n };\n const response = __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_accumulateResponse).call(this, event);\n maybeEmit('event', event);\n switch (event.type) {\n case 'response.output_text.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n maybeEmit('response.output_text.delta', {\n ...event,\n snapshot: content.text,\n });\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n maybeEmit('response.function_call_arguments.delta', {\n ...event,\n snapshot: output.arguments,\n });\n }\n break;\n }\n default:\n maybeEmit(event.type, event);\n break;\n }\n }, _ResponseStream_endRequest = function _ResponseStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any events`);\n }\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n const parsedResponse = finalizeResponse(snapshot, __classPrivateFieldGet(this, _ResponseStream_params, \"f\"));\n __classPrivateFieldSet(this, _ResponseStream_finalResponse, parsedResponse, \"f\");\n return parsedResponse;\n }, _ResponseStream_accumulateResponse = function _ResponseStream_accumulateResponse(event) {\n let snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n if (event.type !== 'response.created') {\n throw new OpenAIError(`When snapshot hasn't been set yet, expected 'response.created' event, got ${event.type}`);\n }\n snapshot = __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n return snapshot;\n }\n switch (event.type) {\n case 'response.output_item.added': {\n snapshot.output.push(event.item);\n break;\n }\n case 'response.content_part.added': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n const type = output.type;\n const part = event.part;\n if (type === 'message' && part.type !== 'reasoning_text') {\n output.content.push(part);\n }\n else if (type === 'reasoning' && part.type === 'reasoning_text') {\n if (!output.content) {\n output.content = [];\n }\n output.content.push(part);\n }\n break;\n }\n case 'response.output_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n output.arguments += event.delta;\n }\n break;\n }\n case 'response.reasoning_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'reasoning') {\n const content = output.content?.[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'reasoning_text') {\n throw new OpenAIError(`expected content to be 'reasoning_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.completed': {\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n break;\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((event) => (event ? { value: event, done: false } : { value: undefined, done: true }));\n }\n const event = pushQueue.shift();\n return { value: event, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n /**\n * @returns a promise that resolves with the final Response, or rejects\n * if an error occurred or the stream ended prematurely without producing a REsponse.\n */\n async finalResponse() {\n await this.done();\n const response = __classPrivateFieldGet(this, _ResponseStream_finalResponse, \"f\");\n if (!response)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return response;\n }\n}\nfunction finalizeResponse(snapshot, params) {\n return maybeParseResponse(snapshot, params);\n}\n//# sourceMappingURL=ResponseStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class InputItems extends APIResource {\n /**\n * Returns a list of input items for a given response.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const responseItem of client.responses.inputItems.list(\n * 'response_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(responseID, query = {}, options) {\n return this._client.getAPIList(path `/responses/${responseID}/input_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=input-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { parseResponse, addOutputText, } from \"../../lib/ResponsesParser.mjs\";\nimport { ResponseStream } from \"../../lib/responses/ResponseStream.mjs\";\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as InputItemsAPI from \"./input-items.mjs\";\nimport { InputItems } from \"./input-items.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Responses extends APIResource {\n constructor() {\n super(...arguments);\n this.inputItems = new InputItemsAPI.InputItems(this._client);\n }\n create(body, options) {\n return this._client.post('/responses', { body, ...options, stream: body.stream ?? false })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n retrieve(responseID, query = {}, options) {\n return this._client.get(path `/responses/${responseID}`, {\n query,\n ...options,\n stream: query?.stream ?? false,\n })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n /**\n * Deletes a model response with the given ID.\n *\n * @example\n * ```ts\n * await client.responses.delete(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n delete(responseID, options) {\n return this._client.delete(path `/responses/${responseID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n parse(body, options) {\n return this._client.responses\n .create(body, options)\n ._thenUnwrap((response) => parseResponse(response, body));\n }\n /**\n * Creates a model response stream\n */\n stream(body, options) {\n return ResponseStream.createResponse(this._client, body, options);\n }\n /**\n * Cancels a model response with the given ID. Only responses created with the\n * `background` parameter set to `true` can be cancelled.\n * [Learn more](https://platform.openai.com/docs/guides/background).\n *\n * @example\n * ```ts\n * const response = await client.responses.cancel(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n cancel(responseID, options) {\n return this._client.post(path `/responses/${responseID}/cancel`, options);\n }\n}\nResponses.InputItems = InputItems;\n//# sourceMappingURL=responses.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Parts extends APIResource {\n /**\n * Adds a\n * [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.\n * A Part represents a chunk of bytes from the file you are trying to upload.\n *\n * Each Part can be at most 64 MB, and you can add Parts until you hit the Upload\n * maximum of 8 GB.\n *\n * It is possible to add multiple Parts in parallel. You can decide the intended\n * order of the Parts when you\n * [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).\n */\n create(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/parts`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n}\n//# sourceMappingURL=parts.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as PartsAPI from \"./parts.mjs\";\nimport { Parts } from \"./parts.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Uploads extends APIResource {\n constructor() {\n super(...arguments);\n this.parts = new PartsAPI.Parts(this._client);\n }\n /**\n * Creates an intermediate\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object\n * that you can add\n * [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.\n * Currently, an Upload can accept at most 8 GB in total and expires after an hour\n * after you create it.\n *\n * Once you complete the Upload, we will create a\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * contains all the parts you uploaded. This File is usable in the rest of our\n * platform as a regular File object.\n *\n * For certain `purpose` values, the correct `mime_type` must be specified. Please\n * refer to documentation for the\n * [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).\n *\n * For guidance on the proper filename extensions for each purpose, please follow\n * the documentation on\n * [creating a File](https://platform.openai.com/docs/api-reference/files/create).\n */\n create(body, options) {\n return this._client.post('/uploads', { body, ...options });\n }\n /**\n * Cancels the Upload. No Parts may be added after an Upload is cancelled.\n */\n cancel(uploadID, options) {\n return this._client.post(path `/uploads/${uploadID}/cancel`, options);\n }\n /**\n * Completes the\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object).\n *\n * Within the returned Upload object, there is a nested\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * is ready to use in the rest of the platform.\n *\n * You can specify the order of the Parts by passing in an ordered list of the Part\n * IDs.\n *\n * The number of bytes uploaded upon completion must match the number of bytes\n * initially specified when creating the Upload object. No Parts may be added after\n * an Upload is completed.\n */\n complete(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/complete`, { body, ...options });\n }\n}\nUploads.Parts = Parts;\n//# sourceMappingURL=uploads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils/sleep.mjs\";\nimport { allSettledWithThrow } from \"../../lib/Util.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class FileBatches extends APIResource {\n /**\n * Create a vector store file batch.\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/file_batches`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file batch.\n */\n retrieve(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/file_batches/${batchID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancel a vector store file batch. This attempts to cancel the processing of\n * files in this batch as soon as possible.\n */\n cancel(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Create a vector store batch and poll until all files have been processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const batch = await this.create(vectorStoreId, body);\n return await this.poll(vectorStoreId, batch.id, options);\n }\n /**\n * Returns a list of vector store files in a batch.\n */\n listFiles(batchID, params, options) {\n const { vector_store_id, ...query } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/files`, (CursorPage), { query, ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n /**\n * Wait for the given file batch to be processed.\n *\n * Note: this will return even if one of the files failed to process, you need to\n * check batch.file_counts.failed_count to handle this case.\n */\n async poll(vectorStoreID, batchID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: batch, response } = await this.retrieve(batchID, { vector_store_id: vectorStoreID }, {\n ...options,\n headers,\n }).withResponse();\n switch (batch.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'cancelled':\n case 'completed':\n return batch;\n }\n }\n }\n /**\n * Uploads the given files concurrently and then creates a vector store file batch.\n *\n * The concurrency limit is configurable using the `maxConcurrency` parameter.\n */\n async uploadAndPoll(vectorStoreId, { files, fileIds = [] }, options) {\n if (files == null || files.length == 0) {\n throw new Error(`No \\`files\\` provided to process. If you've already uploaded files you should use \\`.createAndPoll()\\` instead`);\n }\n const configuredConcurrency = options?.maxConcurrency ?? 5;\n // We cap the number of workers at the number of files (so we don't start any unnecessary workers)\n const concurrencyLimit = Math.min(configuredConcurrency, files.length);\n const client = this._client;\n const fileIterator = files.values();\n const allFileIds = [...fileIds];\n // This code is based on this design. The libraries don't accommodate our environment limits.\n // https://stackoverflow.com/questions/40639432/what-is-the-best-way-to-limit-concurrency-when-using-es6s-promise-all\n async function processFiles(iterator) {\n for (let item of iterator) {\n const fileObj = await client.files.create({ file: item, purpose: 'assistants' }, options);\n allFileIds.push(fileObj.id);\n }\n }\n // Start workers to process results\n const workers = Array(concurrencyLimit).fill(fileIterator).map(processFiles);\n // Wait for all processing to complete.\n await allSettledWithThrow(workers);\n return await this.createAndPoll(vectorStoreId, {\n file_ids: allFileIds,\n });\n }\n}\n//# sourceMappingURL=file-batches.mjs.map","/**\n * Like `Promise.allSettled()` but throws an error if any promises are rejected.\n */\nexport const allSettledWithThrow = async (promises) => {\n const results = await Promise.allSettled(promises);\n const rejected = results.filter((result) => result.status === 'rejected');\n if (rejected.length) {\n for (const result of rejected) {\n console.error(result.reason);\n }\n throw new Error(`${rejected.length} promise(s) failed - see the above errors`);\n }\n // Note: TS was complaining about using `.filter().map()` here for some reason\n const values = [];\n for (const result of results) {\n if (result.status === 'fulfilled') {\n values.push(result.value);\n }\n }\n return values;\n};\n//# sourceMappingURL=Util.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Create a vector store file by attaching a\n * [File](https://platform.openai.com/docs/api-reference/files) to a\n * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/files`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file.\n */\n retrieve(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Update attributes on a vector store file.\n */\n update(fileID, params, options) {\n const { vector_store_id, ...body } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector store files.\n */\n list(vectorStoreID, query = {}, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/files`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store file. This will remove the file from the vector store but\n * the file itself will not be deleted. To delete the file, use the\n * [delete file](https://platform.openai.com/docs/api-reference/files/delete)\n * endpoint.\n */\n delete(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.delete(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Attach a file to the given vector store and wait for it to be processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const file = await this.create(vectorStoreId, body, options);\n return await this.poll(vectorStoreId, file.id, options);\n }\n /**\n * Wait for the vector store file to finish processing.\n *\n * Note: this will return even if the file failed to process, you need to check\n * file.last_error and file.status to handle these cases\n */\n async poll(vectorStoreID, fileID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const fileResponse = await this.retrieve(fileID, {\n vector_store_id: vectorStoreID,\n }, { ...options, headers }).withResponse();\n const file = fileResponse.data;\n switch (file.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'completed':\n return file;\n }\n }\n }\n /**\n * Upload a file to the `files` API and then attach it to the given vector store.\n *\n * Note the file will be asynchronously processed (you can use the alternative\n * polling helper method to wait for processing to complete).\n */\n async upload(vectorStoreId, file, options) {\n const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options);\n return this.create(vectorStoreId, { file_id: fileInfo.id }, options);\n }\n /**\n * Add a file to a vector store and poll until processing is complete.\n */\n async uploadAndPoll(vectorStoreId, file, options) {\n const fileInfo = await this.upload(vectorStoreId, file, options);\n return await this.poll(vectorStoreId, fileInfo.id, options);\n }\n /**\n * Retrieve the parsed contents of a vector store file.\n */\n content(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/files/${fileID}/content`, (Page), { ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FileBatchesAPI from \"./file-batches.mjs\";\nimport { FileBatches, } from \"./file-batches.mjs\";\nimport * as FilesAPI from \"./files.mjs\";\nimport { Files, } from \"./files.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class VectorStores extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n this.fileBatches = new FileBatchesAPI.FileBatches(this._client);\n }\n /**\n * Create a vector store.\n */\n create(body, options) {\n return this._client.post('/vector_stores', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store.\n */\n retrieve(vectorStoreID, options) {\n return this._client.get(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a vector store.\n */\n update(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector stores.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/vector_stores', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store.\n */\n delete(vectorStoreID, options) {\n return this._client.delete(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Search a vector store for relevant chunks based on a query and file attributes\n * filter.\n */\n search(vectorStoreID, body, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/search`, (Page), {\n body,\n method: 'post',\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\nVectorStores.Files = Files;\nVectorStores.FileBatches = FileBatches;\n//# sourceMappingURL=vector-stores.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _Webhooks_instances, _Webhooks_validateSecret, _Webhooks_getRequiredHeader;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { InvalidWebhookSignatureError } from \"../error.mjs\";\nimport { APIResource } from \"../core/resource.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nexport class Webhooks extends APIResource {\n constructor() {\n super(...arguments);\n _Webhooks_instances.add(this);\n }\n /**\n * Validates that the given payload was sent by OpenAI and parses the payload.\n */\n async unwrap(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n await this.verifySignature(payload, headers, secret, tolerance);\n return JSON.parse(payload);\n }\n /**\n * Validates whether or not the webhook payload was sent by OpenAI.\n *\n * An error will be raised if the webhook payload was not sent by OpenAI.\n *\n * @param payload - The webhook payload\n * @param headers - The webhook headers\n * @param secret - The webhook secret (optional, will use client secret if not provided)\n * @param tolerance - Maximum age of the webhook in seconds (default: 300 = 5 minutes)\n */\n async verifySignature(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n if (typeof crypto === 'undefined' ||\n typeof crypto.subtle.importKey !== 'function' ||\n typeof crypto.subtle.verify !== 'function') {\n throw new Error('Webhook signature verification is only supported when the `crypto` global is defined');\n }\n __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_validateSecret).call(this, secret);\n const headersObj = buildHeaders([headers]).values;\n const signatureHeader = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-signature');\n const timestamp = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-timestamp');\n const webhookId = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-id');\n // Validate timestamp to prevent replay attacks\n const timestampSeconds = parseInt(timestamp, 10);\n if (isNaN(timestampSeconds)) {\n throw new InvalidWebhookSignatureError('Invalid webhook timestamp format');\n }\n const nowSeconds = Math.floor(Date.now() / 1000);\n if (nowSeconds - timestampSeconds > tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too old');\n }\n if (timestampSeconds > nowSeconds + tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too new');\n }\n // Extract signatures from v1, format\n // The signature header can have multiple values, separated by spaces.\n // Each value is in the format v1,. We should accept if any match.\n const signatures = signatureHeader\n .split(' ')\n .map((part) => (part.startsWith('v1,') ? part.substring(3) : part));\n // Decode the secret if it starts with whsec_\n const decodedSecret = secret.startsWith('whsec_') ?\n Buffer.from(secret.replace('whsec_', ''), 'base64')\n : Buffer.from(secret, 'utf-8');\n // Create the signed payload: {webhook_id}.{timestamp}.{payload}\n const signedPayload = webhookId ? `${webhookId}.${timestamp}.${payload}` : `${timestamp}.${payload}`;\n // Import the secret as a cryptographic key for HMAC\n const key = await crypto.subtle.importKey('raw', decodedSecret, { name: 'HMAC', hash: 'SHA-256' }, false, ['verify']);\n // Check if any signature matches using timing-safe WebCrypto verify\n for (const signature of signatures) {\n try {\n const signatureBytes = Buffer.from(signature, 'base64');\n const isValid = await crypto.subtle.verify('HMAC', key, signatureBytes, new TextEncoder().encode(signedPayload));\n if (isValid) {\n return; // Valid signature found\n }\n }\n catch {\n // Invalid base64 or signature format, continue to next signature\n continue;\n }\n }\n throw new InvalidWebhookSignatureError('The given webhook signature does not match the expected signature');\n }\n}\n_Webhooks_instances = new WeakSet(), _Webhooks_validateSecret = function _Webhooks_validateSecret(secret) {\n if (typeof secret !== 'string' || secret.length === 0) {\n throw new Error(`The webhook secret must either be set using the env var, OPENAI_WEBHOOK_SECRET, on the client class, OpenAI({ webhookSecret: '123' }), or passed to this function`);\n }\n}, _Webhooks_getRequiredHeader = function _Webhooks_getRequiredHeader(headers, name) {\n if (!headers) {\n throw new Error(`Headers are required`);\n }\n const value = headers.get(name);\n if (value === null || value === undefined) {\n throw new Error(`Missing required header: ${name}`);\n }\n return value;\n};\n//# sourceMappingURL=webhooks.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _OpenAI_instances, _a, _OpenAI_encoder, _OpenAI_baseURLOverridden;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"./internal/tslib.mjs\";\nimport { uuid4 } from \"./internal/utils/uuid.mjs\";\nimport { validatePositiveInteger, isAbsoluteURL, safeJSON } from \"./internal/utils/values.mjs\";\nimport { sleep } from \"./internal/utils/sleep.mjs\";\nimport { castToError, isAbortError } from \"./internal/errors.mjs\";\nimport { getPlatformHeaders } from \"./internal/detect-platform.mjs\";\nimport * as Shims from \"./internal/shims.mjs\";\nimport * as Opts from \"./internal/request-options.mjs\";\nimport * as qs from \"./internal/qs/index.mjs\";\nimport { VERSION } from \"./version.mjs\";\nimport * as Errors from \"./core/error.mjs\";\nimport * as Pagination from \"./core/pagination.mjs\";\nimport * as Uploads from \"./core/uploads.mjs\";\nimport * as API from \"./resources/index.mjs\";\nimport { APIPromise } from \"./core/api-promise.mjs\";\nimport { Batches, } from \"./resources/batches.mjs\";\nimport { Completions, } from \"./resources/completions.mjs\";\nimport { Embeddings, } from \"./resources/embeddings.mjs\";\nimport { Files, } from \"./resources/files.mjs\";\nimport { Images, } from \"./resources/images.mjs\";\nimport { Models } from \"./resources/models.mjs\";\nimport { Moderations, } from \"./resources/moderations.mjs\";\nimport { Webhooks } from \"./resources/webhooks.mjs\";\nimport { Audio } from \"./resources/audio/audio.mjs\";\nimport { Beta } from \"./resources/beta/beta.mjs\";\nimport { Chat } from \"./resources/chat/chat.mjs\";\nimport { Containers, } from \"./resources/containers/containers.mjs\";\nimport { Conversations } from \"./resources/conversations/conversations.mjs\";\nimport { Evals, } from \"./resources/evals/evals.mjs\";\nimport { FineTuning } from \"./resources/fine-tuning/fine-tuning.mjs\";\nimport { Graders } from \"./resources/graders/graders.mjs\";\nimport { Realtime } from \"./resources/realtime/realtime.mjs\";\nimport { Responses } from \"./resources/responses/responses.mjs\";\nimport { Uploads as UploadsAPIUploads, } from \"./resources/uploads/uploads.mjs\";\nimport { VectorStores, } from \"./resources/vector-stores/vector-stores.mjs\";\nimport { isRunningInBrowser } from \"./internal/detect-platform.mjs\";\nimport { buildHeaders } from \"./internal/headers.mjs\";\nimport { readEnv } from \"./internal/utils/env.mjs\";\nimport { formatRequestDetails, loggerFor, parseLogLevel, } from \"./internal/utils/log.mjs\";\nimport { isEmptyObj } from \"./internal/utils/values.mjs\";\n/**\n * API Client for interfacing with the OpenAI API.\n */\nexport class OpenAI {\n /**\n * API Client for interfacing with the OpenAI API.\n *\n * @param {string | undefined} [opts.apiKey=process.env['OPENAI_API_KEY'] ?? undefined]\n * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null]\n * @param {string | null | undefined} [opts.project=process.env['OPENAI_PROJECT_ID'] ?? null]\n * @param {string | null | undefined} [opts.webhookSecret=process.env['OPENAI_WEBHOOK_SECRET'] ?? null]\n * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL'] ?? https://api.openai.com/v1] - Override the default base URL for the API.\n * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.\n * @param {MergedRequestInit} [opts.fetchOptions] - Additional `RequestInit` options to be passed to `fetch` calls.\n * @param {Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.\n * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.\n * @param {HeadersLike} opts.defaultHeaders - Default headers to include with every request to the API.\n * @param {Record} opts.defaultQuery - Default query parameters to include with every request to the API.\n * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n */\n constructor({ baseURL = readEnv('OPENAI_BASE_URL'), apiKey = readEnv('OPENAI_API_KEY'), organization = readEnv('OPENAI_ORG_ID') ?? null, project = readEnv('OPENAI_PROJECT_ID') ?? null, webhookSecret = readEnv('OPENAI_WEBHOOK_SECRET') ?? null, ...opts } = {}) {\n _OpenAI_instances.add(this);\n _OpenAI_encoder.set(this, void 0);\n this.completions = new API.Completions(this);\n this.chat = new API.Chat(this);\n this.embeddings = new API.Embeddings(this);\n this.files = new API.Files(this);\n this.images = new API.Images(this);\n this.audio = new API.Audio(this);\n this.moderations = new API.Moderations(this);\n this.models = new API.Models(this);\n this.fineTuning = new API.FineTuning(this);\n this.graders = new API.Graders(this);\n this.vectorStores = new API.VectorStores(this);\n this.webhooks = new API.Webhooks(this);\n this.beta = new API.Beta(this);\n this.batches = new API.Batches(this);\n this.uploads = new API.Uploads(this);\n this.responses = new API.Responses(this);\n this.realtime = new API.Realtime(this);\n this.conversations = new API.Conversations(this);\n this.evals = new API.Evals(this);\n this.containers = new API.Containers(this);\n if (apiKey === undefined) {\n throw new Errors.OpenAIError('Missing credentials. Please pass an `apiKey`, or set the `OPENAI_API_KEY` environment variable.');\n }\n const options = {\n apiKey,\n organization,\n project,\n webhookSecret,\n ...opts,\n baseURL: baseURL || `https://api.openai.com/v1`,\n };\n if (!options.dangerouslyAllowBrowser && isRunningInBrowser()) {\n throw new Errors.OpenAIError(\"It looks like you're running in a browser-like environment.\\n\\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\\nIf you understand the risks and have appropriate mitigations in place,\\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\\n\\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\\n\\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\\n\");\n }\n this.baseURL = options.baseURL;\n this.timeout = options.timeout ?? _a.DEFAULT_TIMEOUT /* 10 minutes */;\n this.logger = options.logger ?? console;\n const defaultLogLevel = 'warn';\n // Set default logLevel early so that we can log a warning in parseLogLevel.\n this.logLevel = defaultLogLevel;\n this.logLevel =\n parseLogLevel(options.logLevel, 'ClientOptions.logLevel', this) ??\n parseLogLevel(readEnv('OPENAI_LOG'), \"process.env['OPENAI_LOG']\", this) ??\n defaultLogLevel;\n this.fetchOptions = options.fetchOptions;\n this.maxRetries = options.maxRetries ?? 2;\n this.fetch = options.fetch ?? Shims.getDefaultFetch();\n __classPrivateFieldSet(this, _OpenAI_encoder, Opts.FallbackEncoder, \"f\");\n this._options = options;\n this.apiKey = typeof apiKey === 'string' ? apiKey : 'Missing Key';\n this.organization = organization;\n this.project = project;\n this.webhookSecret = webhookSecret;\n }\n /**\n * Create a new client instance re-using the same options given to the current client with optional overriding.\n */\n withOptions(options) {\n const client = new this.constructor({\n ...this._options,\n baseURL: this.baseURL,\n maxRetries: this.maxRetries,\n timeout: this.timeout,\n logger: this.logger,\n logLevel: this.logLevel,\n fetch: this.fetch,\n fetchOptions: this.fetchOptions,\n apiKey: this.apiKey,\n organization: this.organization,\n project: this.project,\n webhookSecret: this.webhookSecret,\n ...options,\n });\n return client;\n }\n defaultQuery() {\n return this._options.defaultQuery;\n }\n validateHeaders({ values, nulls }) {\n return;\n }\n async authHeaders(opts) {\n return buildHeaders([{ Authorization: `Bearer ${this.apiKey}` }]);\n }\n stringifyQuery(query) {\n return qs.stringify(query, { arrayFormat: 'brackets' });\n }\n getUserAgent() {\n return `${this.constructor.name}/JS ${VERSION}`;\n }\n defaultIdempotencyKey() {\n return `stainless-node-retry-${uuid4()}`;\n }\n makeStatusError(status, error, message, headers) {\n return Errors.APIError.generate(status, error, message, headers);\n }\n async _callApiKey() {\n const apiKey = this._options.apiKey;\n if (typeof apiKey !== 'function')\n return false;\n let token;\n try {\n token = await apiKey();\n }\n catch (err) {\n if (err instanceof Errors.OpenAIError)\n throw err;\n throw new Errors.OpenAIError(`Failed to get token from 'apiKey' function: ${err.message}`, \n // @ts-ignore\n { cause: err });\n }\n if (typeof token !== 'string' || !token) {\n throw new Errors.OpenAIError(`Expected 'apiKey' function argument to return a string but it returned ${token}`);\n }\n this.apiKey = token;\n return true;\n }\n buildURL(path, query, defaultBaseURL) {\n const baseURL = (!__classPrivateFieldGet(this, _OpenAI_instances, \"m\", _OpenAI_baseURLOverridden).call(this) && defaultBaseURL) || this.baseURL;\n const url = isAbsoluteURL(path) ?\n new URL(path)\n : new URL(baseURL + (baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path));\n const defaultQuery = this.defaultQuery();\n if (!isEmptyObj(defaultQuery)) {\n query = { ...defaultQuery, ...query };\n }\n if (typeof query === 'object' && query && !Array.isArray(query)) {\n url.search = this.stringifyQuery(query);\n }\n return url.toString();\n }\n /**\n * Used as a callback for mutating the given `FinalRequestOptions` object.\n */\n async prepareOptions(options) {\n await this._callApiKey();\n }\n /**\n * Used as a callback for mutating the given `RequestInit` object.\n *\n * This is useful for cases where you want to add certain headers based off of\n * the request properties, e.g. `method` or `url`.\n */\n async prepareRequest(request, { url, options }) { }\n get(path, opts) {\n return this.methodRequest('get', path, opts);\n }\n post(path, opts) {\n return this.methodRequest('post', path, opts);\n }\n patch(path, opts) {\n return this.methodRequest('patch', path, opts);\n }\n put(path, opts) {\n return this.methodRequest('put', path, opts);\n }\n delete(path, opts) {\n return this.methodRequest('delete', path, opts);\n }\n methodRequest(method, path, opts) {\n return this.request(Promise.resolve(opts).then((opts) => {\n return { method, path, ...opts };\n }));\n }\n request(options, remainingRetries = null) {\n return new APIPromise(this, this.makeRequest(options, remainingRetries, undefined));\n }\n async makeRequest(optionsInput, retriesRemaining, retryOfRequestLogID) {\n const options = await optionsInput;\n const maxRetries = options.maxRetries ?? this.maxRetries;\n if (retriesRemaining == null) {\n retriesRemaining = maxRetries;\n }\n await this.prepareOptions(options);\n const { req, url, timeout } = await this.buildRequest(options, {\n retryCount: maxRetries - retriesRemaining,\n });\n await this.prepareRequest(req, { url, options });\n /** Not an API request ID, just for correlating local log entries. */\n const requestLogID = 'log_' + ((Math.random() * (1 << 24)) | 0).toString(16).padStart(6, '0');\n const retryLogStr = retryOfRequestLogID === undefined ? '' : `, retryOf: ${retryOfRequestLogID}`;\n const startTime = Date.now();\n loggerFor(this).debug(`[${requestLogID}] sending request`, formatRequestDetails({\n retryOfRequestLogID,\n method: options.method,\n url,\n options,\n headers: req.headers,\n }));\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n const controller = new AbortController();\n const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError);\n const headersTime = Date.now();\n if (response instanceof globalThis.Error) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n // detect native connection timeout errors\n // deno throws \"TypeError: error sending request for url (https://example/): client error (Connect): tcp connect error: Operation timed out (os error 60): Operation timed out (os error 60)\"\n // undici throws \"TypeError: fetch failed\" with cause \"ConnectTimeoutError: Connect Timeout Error (attempted address: example:443, timeout: 1ms)\"\n // others do not provide enough information to distinguish timeouts from other connection errors\n const isTimeout = isAbortError(response) ||\n /timed? ?out/i.test(String(response) + ('cause' in response ? String(response.cause) : ''));\n if (retriesRemaining) {\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID);\n }\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - error; no more retries left`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (error; no more retries left)`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n if (isTimeout) {\n throw new Errors.APIConnectionTimeoutError();\n }\n throw new Errors.APIConnectionError({ cause: response });\n }\n const specialHeaders = [...response.headers.entries()]\n .filter(([name]) => name === 'x-request-id')\n .map(([name, value]) => ', ' + name + ': ' + JSON.stringify(value))\n .join('');\n const responseInfo = `[${requestLogID}${retryLogStr}${specialHeaders}] ${req.method} ${url} ${response.ok ? 'succeeded' : 'failed'} with status ${response.status} in ${headersTime - startTime}ms`;\n if (!response.ok) {\n const shouldRetry = await this.shouldRetry(response);\n if (retriesRemaining && shouldRetry) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n // We don't need the body of this response.\n await Shims.CancelReadableStream(response.body);\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID, response.headers);\n }\n const retryMessage = shouldRetry ? `error; no more retries left` : `error; not retryable`;\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n const errText = await response.text().catch((err) => castToError(err).message);\n const errJSON = safeJSON(errText);\n const errMessage = errJSON ? undefined : errText;\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n message: errMessage,\n durationMs: Date.now() - startTime,\n }));\n const err = this.makeStatusError(response.status, errJSON, errMessage, response.headers);\n throw err;\n }\n loggerFor(this).info(responseInfo);\n loggerFor(this).debug(`[${requestLogID}] response start`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return { response, options, controller, requestLogID, retryOfRequestLogID, startTime };\n }\n getAPIList(path, Page, opts) {\n return this.requestAPIList(Page, { method: 'get', path, ...opts });\n }\n requestAPIList(Page, options) {\n const request = this.makeRequest(options, null, undefined);\n return new Pagination.PagePromise(this, request, Page);\n }\n async fetchWithTimeout(url, init, ms, controller) {\n const { signal, method, ...options } = init || {};\n if (signal)\n signal.addEventListener('abort', () => controller.abort());\n const timeout = setTimeout(() => controller.abort(), ms);\n const isReadableBody = (globalThis.ReadableStream && options.body instanceof globalThis.ReadableStream) ||\n (typeof options.body === 'object' && options.body !== null && Symbol.asyncIterator in options.body);\n const fetchOptions = {\n signal: controller.signal,\n ...(isReadableBody ? { duplex: 'half' } : {}),\n method: 'GET',\n ...options,\n };\n if (method) {\n // Custom methods like 'patch' need to be uppercased\n // See https://github.com/nodejs/undici/issues/2294\n fetchOptions.method = method.toUpperCase();\n }\n try {\n // use undefined this binding; fetch errors if bound to something else in browser/cloudflare\n return await this.fetch.call(undefined, url, fetchOptions);\n }\n finally {\n clearTimeout(timeout);\n }\n }\n async shouldRetry(response) {\n // Note this is not a standard header.\n const shouldRetryHeader = response.headers.get('x-should-retry');\n // If the server explicitly says whether or not to retry, obey.\n if (shouldRetryHeader === 'true')\n return true;\n if (shouldRetryHeader === 'false')\n return false;\n // Retry on request timeouts.\n if (response.status === 408)\n return true;\n // Retry on lock timeouts.\n if (response.status === 409)\n return true;\n // Retry on rate limits.\n if (response.status === 429)\n return true;\n // Retry internal errors.\n if (response.status >= 500)\n return true;\n return false;\n }\n async retryRequest(options, retriesRemaining, requestLogID, responseHeaders) {\n let timeoutMillis;\n // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it.\n const retryAfterMillisHeader = responseHeaders?.get('retry-after-ms');\n if (retryAfterMillisHeader) {\n const timeoutMs = parseFloat(retryAfterMillisHeader);\n if (!Number.isNaN(timeoutMs)) {\n timeoutMillis = timeoutMs;\n }\n }\n // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n const retryAfterHeader = responseHeaders?.get('retry-after');\n if (retryAfterHeader && !timeoutMillis) {\n const timeoutSeconds = parseFloat(retryAfterHeader);\n if (!Number.isNaN(timeoutSeconds)) {\n timeoutMillis = timeoutSeconds * 1000;\n }\n else {\n timeoutMillis = Date.parse(retryAfterHeader) - Date.now();\n }\n }\n // If the API asks us to wait a certain amount of time (and it's a reasonable amount),\n // just do what it says, but otherwise calculate a default\n if (!(timeoutMillis && 0 <= timeoutMillis && timeoutMillis < 60 * 1000)) {\n const maxRetries = options.maxRetries ?? this.maxRetries;\n timeoutMillis = this.calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries);\n }\n await sleep(timeoutMillis);\n return this.makeRequest(options, retriesRemaining - 1, requestLogID);\n }\n calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries) {\n const initialRetryDelay = 0.5;\n const maxRetryDelay = 8.0;\n const numRetries = maxRetries - retriesRemaining;\n // Apply exponential backoff, but not more than the max.\n const sleepSeconds = Math.min(initialRetryDelay * Math.pow(2, numRetries), maxRetryDelay);\n // Apply some jitter, take up to at most 25 percent of the retry time.\n const jitter = 1 - Math.random() * 0.25;\n return sleepSeconds * jitter * 1000;\n }\n async buildRequest(inputOptions, { retryCount = 0 } = {}) {\n const options = { ...inputOptions };\n const { method, path, query, defaultBaseURL } = options;\n const url = this.buildURL(path, query, defaultBaseURL);\n if ('timeout' in options)\n validatePositiveInteger('timeout', options.timeout);\n options.timeout = options.timeout ?? this.timeout;\n const { bodyHeaders, body } = this.buildBody({ options });\n const reqHeaders = await this.buildHeaders({ options: inputOptions, method, bodyHeaders, retryCount });\n const req = {\n method,\n headers: reqHeaders,\n ...(options.signal && { signal: options.signal }),\n ...(globalThis.ReadableStream &&\n body instanceof globalThis.ReadableStream && { duplex: 'half' }),\n ...(body && { body }),\n ...(this.fetchOptions ?? {}),\n ...(options.fetchOptions ?? {}),\n };\n return { req, url, timeout: options.timeout };\n }\n async buildHeaders({ options, method, bodyHeaders, retryCount, }) {\n let idempotencyHeaders = {};\n if (this.idempotencyHeader && method !== 'get') {\n if (!options.idempotencyKey)\n options.idempotencyKey = this.defaultIdempotencyKey();\n idempotencyHeaders[this.idempotencyHeader] = options.idempotencyKey;\n }\n const headers = buildHeaders([\n idempotencyHeaders,\n {\n Accept: 'application/json',\n 'User-Agent': this.getUserAgent(),\n 'X-Stainless-Retry-Count': String(retryCount),\n ...(options.timeout ? { 'X-Stainless-Timeout': String(Math.trunc(options.timeout / 1000)) } : {}),\n ...getPlatformHeaders(),\n 'OpenAI-Organization': this.organization,\n 'OpenAI-Project': this.project,\n },\n await this.authHeaders(options),\n this._options.defaultHeaders,\n bodyHeaders,\n options.headers,\n ]);\n this.validateHeaders(headers);\n return headers.values;\n }\n buildBody({ options: { body, headers: rawHeaders } }) {\n if (!body) {\n return { bodyHeaders: undefined, body: undefined };\n }\n const headers = buildHeaders([rawHeaders]);\n if (\n // Pass raw type verbatim\n ArrayBuffer.isView(body) ||\n body instanceof ArrayBuffer ||\n body instanceof DataView ||\n (typeof body === 'string' &&\n // Preserve legacy string encoding behavior for now\n headers.values.has('content-type')) ||\n // `Blob` is superset of `File`\n (globalThis.Blob && body instanceof globalThis.Blob) ||\n // `FormData` -> `multipart/form-data`\n body instanceof FormData ||\n // `URLSearchParams` -> `application/x-www-form-urlencoded`\n body instanceof URLSearchParams ||\n // Send chunked stream (each chunk has own `length`)\n (globalThis.ReadableStream && body instanceof globalThis.ReadableStream)) {\n return { bodyHeaders: undefined, body: body };\n }\n else if (typeof body === 'object' &&\n (Symbol.asyncIterator in body ||\n (Symbol.iterator in body && 'next' in body && typeof body.next === 'function'))) {\n return { bodyHeaders: undefined, body: Shims.ReadableStreamFrom(body) };\n }\n else {\n return __classPrivateFieldGet(this, _OpenAI_encoder, \"f\").call(this, { body, headers });\n }\n }\n}\n_a = OpenAI, _OpenAI_encoder = new WeakMap(), _OpenAI_instances = new WeakSet(), _OpenAI_baseURLOverridden = function _OpenAI_baseURLOverridden() {\n return this.baseURL !== 'https://api.openai.com/v1';\n};\nOpenAI.OpenAI = _a;\nOpenAI.DEFAULT_TIMEOUT = 600000; // 10 minutes\nOpenAI.OpenAIError = Errors.OpenAIError;\nOpenAI.APIError = Errors.APIError;\nOpenAI.APIConnectionError = Errors.APIConnectionError;\nOpenAI.APIConnectionTimeoutError = Errors.APIConnectionTimeoutError;\nOpenAI.APIUserAbortError = Errors.APIUserAbortError;\nOpenAI.NotFoundError = Errors.NotFoundError;\nOpenAI.ConflictError = Errors.ConflictError;\nOpenAI.RateLimitError = Errors.RateLimitError;\nOpenAI.BadRequestError = Errors.BadRequestError;\nOpenAI.AuthenticationError = Errors.AuthenticationError;\nOpenAI.InternalServerError = Errors.InternalServerError;\nOpenAI.PermissionDeniedError = Errors.PermissionDeniedError;\nOpenAI.UnprocessableEntityError = Errors.UnprocessableEntityError;\nOpenAI.InvalidWebhookSignatureError = Errors.InvalidWebhookSignatureError;\nOpenAI.toFile = Uploads.toFile;\nOpenAI.Completions = Completions;\nOpenAI.Chat = Chat;\nOpenAI.Embeddings = Embeddings;\nOpenAI.Files = Files;\nOpenAI.Images = Images;\nOpenAI.Audio = Audio;\nOpenAI.Moderations = Moderations;\nOpenAI.Models = Models;\nOpenAI.FineTuning = 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(function(o, v) {\r\n Object.defineProperty(o, \"default\", { enumerable: true, value: v });\r\n}) : function(o, v) {\r\n o[\"default\"] = v;\r\n};\r\n\r\nvar ownKeys = function(o) {\r\n ownKeys = Object.getOwnPropertyNames || function (o) {\r\n var ar = [];\r\n for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;\r\n return ar;\r\n };\r\n return ownKeys(o);\r\n};\r\n\r\nexport function __importStar(mod) {\r\n if (mod && mod.__esModule) return mod;\r\n var result = {};\r\n if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== \"default\") __createBinding(result, mod, k[i]);\r\n __setModuleDefault(result, mod);\r\n return result;\r\n}\r\n\r\nexport function __importDefault(mod) {\r\n return (mod && mod.__esModule) ? mod : { default: mod };\r\n}\r\n\r\nexport function __classPrivateFieldGet(receiver, state, kind, f) {\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a getter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\r\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\r\n}\r\n\r\nexport function __classPrivateFieldSet(receiver, state, value, kind, f) {\r\n if (kind === \"m\") throw new TypeError(\"Private method is not writable\");\r\n if (kind === \"a\" && !f) throw new TypeError(\"Private accessor was defined without a setter\");\r\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\r\n return (kind === \"a\" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;\r\n}\r\n\r\nexport function __classPrivateFieldIn(state, receiver) {\r\n if (receiver === null || (typeof receiver !== \"object\" && typeof receiver !== \"function\")) throw new TypeError(\"Cannot use 'in' operator on non-object\");\r\n return typeof state === \"function\" ? receiver === state : state.has(receiver);\r\n}\r\n\r\nexport function __addDisposableResource(env, value, async) {\r\n if (value !== null && value !== void 0) {\r\n if (typeof value !== \"object\" && typeof value !== \"function\") throw new TypeError(\"Object expected.\");\r\n var dispose, inner;\r\n if (async) {\r\n if (!Symbol.asyncDispose) throw new TypeError(\"Symbol.asyncDispose is not defined.\");\r\n dispose = value[Symbol.asyncDispose];\r\n }\r\n if (dispose === void 0) {\r\n if (!Symbol.dispose) throw new TypeError(\"Symbol.dispose is not defined.\");\r\n dispose = value[Symbol.dispose];\r\n if (async) inner = dispose;\r\n }\r\n if (typeof dispose !== \"function\") throw new TypeError(\"Object not disposable.\");\r\n if (inner) dispose = function() { try { inner.call(this); } catch (e) { return Promise.reject(e); } };\r\n env.stack.push({ value: value, dispose: dispose, async: async });\r\n }\r\n else if (async) {\r\n env.stack.push({ async: true });\r\n }\r\n return value;\r\n\r\n}\r\n\r\nvar _SuppressedError = typeof SuppressedError === \"function\" ? SuppressedError : function (error, suppressed, message) {\r\n var e = new Error(message);\r\n return e.name = \"SuppressedError\", e.error = error, e.suppressed = suppressed, e;\r\n};\r\n\r\nexport function __disposeResources(env) {\r\n function fail(e) {\r\n env.error = env.hasError ? new _SuppressedError(e, env.error, \"An error was suppressed during disposal.\") : e;\r\n env.hasError = true;\r\n }\r\n var r, s = 0;\r\n function next() {\r\n while (r = env.stack.pop()) {\r\n try {\r\n if (!r.async && s === 1) return s = 0, env.stack.push(r), Promise.resolve().then(next);\r\n if (r.dispose) {\r\n var result = r.dispose.call(r.value);\r\n if (r.async) return s |= 2, Promise.resolve(result).then(next, function(e) { fail(e); return next(); });\r\n }\r\n else s |= 1;\r\n }\r\n catch (e) {\r\n fail(e);\r\n }\r\n }\r\n if (s === 1) return env.hasError ? Promise.reject(env.error) : Promise.resolve();\r\n if (env.hasError) throw env.error;\r\n }\r\n return next();\r\n}\r\n\r\nexport function __rewriteRelativeImportExtension(path, preserveJsx) {\r\n if (typeof path === \"string\" && /^\\.\\.?\\//.test(path)) {\r\n return path.replace(/\\.(tsx)$|((?:\\.d)?)((?:\\.[^./]+?)?)\\.([cm]?)ts$/i, function (m, tsx, d, ext, cm) {\r\n return tsx ? preserveJsx ? \".jsx\" : \".js\" : d && (!ext || !cm) ? m : (d + ext + \".\" + cm.toLowerCase() + \"js\");\r\n });\r\n }\r\n return path;\r\n}\r\n\r\nexport default {\r\n __extends: __extends,\r\n __assign: __assign,\r\n __rest: __rest,\r\n __decorate: __decorate,\r\n __param: __param,\r\n __esDecorate: __esDecorate,\r\n __runInitializers: __runInitializers,\r\n __propKey: __propKey,\r\n __setFunctionName: __setFunctionName,\r\n __metadata: __metadata,\r\n __awaiter: __awaiter,\r\n __generator: __generator,\r\n __createBinding: __createBinding,\r\n __exportStar: __exportStar,\r\n __values: __values,\r\n __read: __read,\r\n __spread: __spread,\r\n __spreadArrays: __spreadArrays,\r\n __spreadArray: __spreadArray,\r\n __await: __await,\r\n __asyncGenerator: __asyncGenerator,\r\n __asyncDelegator: __asyncDelegator,\r\n __asyncValues: __asyncValues,\r\n __makeTemplateObject: __makeTemplateObject,\r\n __importStar: __importStar,\r\n __importDefault: __importDefault,\r\n __classPrivateFieldGet: __classPrivateFieldGet,\r\n __classPrivateFieldSet: __classPrivateFieldSet,\r\n __classPrivateFieldIn: __classPrivateFieldIn,\r\n __addDisposableResource: __addDisposableResource,\r\n __disposeResources: __disposeResources,\r\n __rewriteRelativeImportExtension: __rewriteRelativeImportExtension,\r\n};\r\n","import{options as n}from\"preact\";var t,r,u,i,o=0,f=[],c=n,e=c.__b,a=c.__r,v=c.diffed,l=c.__c,m=c.unmount,s=c.__;function p(n,t){c.__h&&c.__h(r,n,o||t),o=0;var u=r.__H||(r.__H={__:[],__h:[]});return n>=u.__.length&&u.__.push({}),u.__[n]}function d(n){return o=1,h(D,n)}function h(n,u,i){var o=p(t++,2);if(o.t=n,!o.__c&&(o.__=[i?i(u):D(void 0,u),function(n){var t=o.__N?o.__N[0]:o.__[0],r=o.t(t,n);t!==r&&(o.__N=[r,o.__[1]],o.__c.setState({}))}],o.__c=r,!r.__f)){var f=function(n,t,r){if(!o.__c.__H)return!0;var u=o.__c.__H.__.filter(function(n){return n.__c});if(u.every(function(n){return!n.__N}))return!c||c.call(this,n,t,r);var i=o.__c.props!==n;return u.some(function(n){if(n.__N){var t=n.__[0];n.__=n.__N,n.__N=void 0,t!==n.__[0]&&(i=!0)}}),c&&c.call(this,n,t,r)||i};r.__f=!0;var c=r.shouldComponentUpdate,e=r.componentWillUpdate;r.componentWillUpdate=function(n,t,r){if(this.__e){var u=c;c=void 0,f(n,t,r),c=u}e&&e.call(this,n,t,r)},r.shouldComponentUpdate=f}return o.__N||o.__}function y(n,u){var i=p(t++,3);!c.__s&&C(i.__H,u)&&(i.__=n,i.u=u,r.__H.__h.push(i))}function _(n,u){var i=p(t++,4);!c.__s&&C(i.__H,u)&&(i.__=n,i.u=u,r.__h.push(i))}function A(n){return o=5,T(function(){return{current:n}},[])}function F(n,t,r){o=6,_(function(){if(\"function\"==typeof n){var r=n(t());return 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t=n.__H;if(n.__P&&t)try{t.__h.some(z),t.__h.some(B),t.__h=[]}catch(r){t.__h=[],c.__e(r,n.__v)}}}c.__b=function(n){r=null,e&&e(n)},c.__=function(n,t){n&&t.__k&&t.__k.__m&&(n.__m=t.__k.__m),s&&s(n,t)},c.__r=function(n){a&&a(n),t=0;var i=(r=n.__c).__H;i&&(u===r?(i.__h=[],r.__h=[],i.__.some(function(n){n.__N&&(n.__=n.__N),n.u=n.__N=void 0})):(i.__h.some(z),i.__h.some(B),i.__h=[],t=0)),u=r},c.diffed=function(n){v&&v(n);var t=n.__c;t&&t.__H&&(t.__H.__h.length&&(1!==f.push(t)&&i===c.requestAnimationFrame||((i=c.requestAnimationFrame)||w)(j)),t.__H.__.some(function(n){n.u&&(n.__H=n.u),n.u=void 0})),u=r=null},c.__c=function(n,t){t.some(function(n){try{n.__h.some(z),n.__h=n.__h.filter(function(n){return!n.__||B(n)})}catch(r){t.some(function(n){n.__h&&(n.__h=[])}),t=[],c.__e(r,n.__v)}}),l&&l(n,t)},c.unmount=function(n){m&&m(n);var t,r=n.__c;r&&r.__H&&(r.__H.__.some(function(n){try{z(n)}catch(n){t=n}}),r.__H=void 0,t&&c.__e(t,r.__v))};var k=\"function\"==typeof requestAnimationFrame;function w(n){var t,r=function(){clearTimeout(u),k&&cancelAnimationFrame(t),setTimeout(n)},u=setTimeout(r,35);k&&(t=requestAnimationFrame(r))}function z(n){var t=r,u=n.__c;\"function\"==typeof u&&(n.__c=void 0,u()),r=t}function B(n){var t=r;n.__c=n.__(),r=t}function C(n,t){return!n||n.length!==t.length||t.some(function(t,r){return t!==n[r]})}function D(n,t){return\"function\"==typeof t?t(n):t}export{q as useCallback,x as useContext,P as useDebugValue,y as useEffect,b as useErrorBoundary,g as useId,F as useImperativeHandle,_ as useLayoutEffect,T as useMemo,h as useReducer,A as useRef,d as useState};\n//# sourceMappingURL=hooks.module.js.map\n",null,"function __classPrivateFieldSet(receiver, state, value, kind, f) {\n if (kind === \"m\")\n throw new TypeError(\"Private method is not writable\");\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a setter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot write private member to an object whose class did not declare it\");\n return kind === \"a\" ? f.call(receiver, value) : f ? (f.value = value) : state.set(receiver, value), value;\n}\nfunction __classPrivateFieldGet(receiver, state, kind, f) {\n if (kind === \"a\" && !f)\n throw new TypeError(\"Private accessor was defined without a getter\");\n if (typeof state === \"function\" ? receiver !== state || !f : !state.has(receiver))\n throw new TypeError(\"Cannot read private member from an object whose class did not declare it\");\n return kind === \"m\" ? f : kind === \"a\" ? f.call(receiver) : f ? f.value : state.get(receiver);\n}\nexport { __classPrivateFieldSet, __classPrivateFieldGet };\n","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * https://stackoverflow.com/a/2117523\n */\nexport let uuid4 = function () {\n const { crypto } = globalThis;\n if (crypto?.randomUUID) {\n uuid4 = crypto.randomUUID.bind(crypto);\n return crypto.randomUUID();\n }\n const u8 = new Uint8Array(1);\n const randomByte = crypto ? () => crypto.getRandomValues(u8)[0] : () => (Math.random() * 0xff) & 0xff;\n return '10000000-1000-4000-8000-100000000000'.replace(/[018]/g, (c) => (+c ^ (randomByte() & (15 >> (+c / 4)))).toString(16));\n};\n//# sourceMappingURL=uuid.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function isAbortError(err) {\n return (typeof err === 'object' &&\n err !== null &&\n // Spec-compliant fetch implementations\n (('name' in err && err.name === 'AbortError') ||\n // Expo fetch\n ('message' in err && String(err.message).includes('FetchRequestCanceledException'))));\n}\nexport const castToError = (err) => {\n if (err instanceof Error)\n return err;\n if (typeof err === 'object' && err !== null) {\n try {\n if (Object.prototype.toString.call(err) === '[object Error]') {\n // @ts-ignore - not all envs have native support for cause yet\n const error = new Error(err.message, err.cause ? { cause: err.cause } : {});\n if (err.stack)\n error.stack = err.stack;\n // @ts-ignore - not all envs have native support for cause yet\n if (err.cause && !error.cause)\n error.cause = err.cause;\n if (err.name)\n error.name = err.name;\n return error;\n }\n }\n catch { }\n try {\n return new Error(JSON.stringify(err));\n }\n catch { }\n }\n return new Error(err);\n};\n//# sourceMappingURL=errors.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { castToError } from \"../internal/errors.mjs\";\nexport class OpenAIError extends Error {\n}\nexport class APIError extends OpenAIError {\n constructor(status, error, message, headers) {\n super(`${APIError.makeMessage(status, error, message)}`);\n this.status = status;\n this.headers = headers;\n this.requestID = headers?.get('x-request-id');\n this.error = error;\n const data = error;\n this.code = data?.['code'];\n this.param = data?.['param'];\n this.type = data?.['type'];\n }\n static makeMessage(status, error, message) {\n const msg = error?.message ?\n typeof error.message === 'string' ?\n error.message\n : JSON.stringify(error.message)\n : error ? JSON.stringify(error)\n : message;\n if (status && msg) {\n return `${status} ${msg}`;\n }\n if (status) {\n return `${status} status code (no body)`;\n }\n if (msg) {\n return msg;\n }\n return '(no status code or body)';\n }\n static generate(status, errorResponse, message, headers) {\n if (!status || !headers) {\n return new APIConnectionError({ message, cause: castToError(errorResponse) });\n }\n const error = errorResponse?.['error'];\n if (status === 400) {\n return new BadRequestError(status, error, message, headers);\n }\n if (status === 401) {\n return new AuthenticationError(status, error, message, headers);\n }\n if (status === 403) {\n return new PermissionDeniedError(status, error, message, headers);\n }\n if (status === 404) {\n return new NotFoundError(status, error, message, headers);\n }\n if (status === 409) {\n return new ConflictError(status, error, message, headers);\n }\n if (status === 422) {\n return new UnprocessableEntityError(status, error, message, headers);\n }\n if (status === 429) {\n return new RateLimitError(status, error, message, headers);\n }\n if (status >= 500) {\n return new InternalServerError(status, error, message, headers);\n }\n return new APIError(status, error, message, headers);\n }\n}\nexport class APIUserAbortError extends APIError {\n constructor({ message } = {}) {\n super(undefined, undefined, message || 'Request was aborted.', undefined);\n }\n}\nexport class APIConnectionError extends APIError {\n constructor({ message, cause }) {\n super(undefined, undefined, message || 'Connection error.', undefined);\n // in some environments the 'cause' property is already declared\n // @ts-ignore\n if (cause)\n this.cause = cause;\n }\n}\nexport class APIConnectionTimeoutError extends APIConnectionError {\n constructor({ message } = {}) {\n super({ message: message ?? 'Request timed out.' });\n }\n}\nexport class BadRequestError extends APIError {\n}\nexport class AuthenticationError extends APIError {\n}\nexport class PermissionDeniedError extends APIError {\n}\nexport class NotFoundError extends APIError {\n}\nexport class ConflictError extends APIError {\n}\nexport class UnprocessableEntityError extends APIError {\n}\nexport class RateLimitError extends APIError {\n}\nexport class InternalServerError extends APIError {\n}\nexport class LengthFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the length limit was reached`);\n }\n}\nexport class ContentFilterFinishReasonError extends OpenAIError {\n constructor() {\n super(`Could not parse response content as the request was rejected by the content filter`);\n }\n}\nexport class InvalidWebhookSignatureError extends Error {\n constructor(message) {\n super(message);\n }\n}\n//# sourceMappingURL=error.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\n// https://url.spec.whatwg.org/#url-scheme-string\nconst startsWithSchemeRegexp = /^[a-z][a-z0-9+.-]*:/i;\nexport const isAbsoluteURL = (url) => {\n return startsWithSchemeRegexp.test(url);\n};\nexport let isArray = (val) => ((isArray = Array.isArray), isArray(val));\nexport let isReadonlyArray = isArray;\n/** Returns an object if the given value isn't an object, otherwise returns as-is */\nexport function maybeObj(x) {\n if (typeof x !== 'object') {\n return {};\n }\n return x ?? {};\n}\n// https://stackoverflow.com/a/34491287\nexport function isEmptyObj(obj) {\n if (!obj)\n return true;\n for (const _k in obj)\n return false;\n return true;\n}\n// https://eslint.org/docs/latest/rules/no-prototype-builtins\nexport function hasOwn(obj, key) {\n return Object.prototype.hasOwnProperty.call(obj, key);\n}\nexport function isObj(obj) {\n return obj != null && typeof obj === 'object' && !Array.isArray(obj);\n}\nexport const ensurePresent = (value) => {\n if (value == null) {\n throw new OpenAIError(`Expected a value to be given but received ${value} instead.`);\n }\n return value;\n};\nexport const validatePositiveInteger = (name, n) => {\n if (typeof n !== 'number' || !Number.isInteger(n)) {\n throw new OpenAIError(`${name} must be an integer`);\n }\n if (n < 0) {\n throw new OpenAIError(`${name} must be a positive integer`);\n }\n return n;\n};\nexport const coerceInteger = (value) => {\n if (typeof value === 'number')\n return Math.round(value);\n if (typeof value === 'string')\n return parseInt(value, 10);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceFloat = (value) => {\n if (typeof value === 'number')\n return value;\n if (typeof value === 'string')\n return parseFloat(value);\n throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`);\n};\nexport const coerceBoolean = (value) => {\n if (typeof value === 'boolean')\n return value;\n if (typeof value === 'string')\n return value === 'true';\n return Boolean(value);\n};\nexport const maybeCoerceInteger = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceInteger(value);\n};\nexport const maybeCoerceFloat = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceFloat(value);\n};\nexport const maybeCoerceBoolean = (value) => {\n if (value == null) {\n return undefined;\n }\n return coerceBoolean(value);\n};\nexport const safeJSON = (text) => {\n try {\n return JSON.parse(text);\n }\n catch (err) {\n return undefined;\n }\n};\n//# sourceMappingURL=values.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));\n//# sourceMappingURL=sleep.mjs.map","export const VERSION = '5.23.2'; // x-release-please-version\n//# sourceMappingURL=version.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { VERSION } from \"../version.mjs\";\nexport const isRunningInBrowser = () => {\n return (\n // @ts-ignore\n typeof window !== 'undefined' &&\n // @ts-ignore\n typeof window.document !== 'undefined' &&\n // @ts-ignore\n typeof navigator !== 'undefined');\n};\n/**\n * Note this does not detect 'browser'; for that, use getBrowserInfo().\n */\nfunction getDetectedPlatform() {\n if (typeof Deno !== 'undefined' && Deno.build != null) {\n return 'deno';\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return 'edge';\n }\n if (Object.prototype.toString.call(typeof globalThis.process !== 'undefined' ? globalThis.process : 0) === '[object process]') {\n return 'node';\n }\n return 'unknown';\n}\nconst getPlatformProperties = () => {\n const detectedPlatform = getDetectedPlatform();\n if (detectedPlatform === 'deno') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(Deno.build.os),\n 'X-Stainless-Arch': normalizeArch(Deno.build.arch),\n 'X-Stainless-Runtime': 'deno',\n 'X-Stainless-Runtime-Version': typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown',\n };\n }\n if (typeof EdgeRuntime !== 'undefined') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': `other:${EdgeRuntime}`,\n 'X-Stainless-Runtime': 'edge',\n 'X-Stainless-Runtime-Version': globalThis.process.version,\n };\n }\n // Check if Node.js\n if (detectedPlatform === 'node') {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': normalizePlatform(globalThis.process.platform ?? 'unknown'),\n 'X-Stainless-Arch': normalizeArch(globalThis.process.arch ?? 'unknown'),\n 'X-Stainless-Runtime': 'node',\n 'X-Stainless-Runtime-Version': globalThis.process.version ?? 'unknown',\n };\n }\n const browserInfo = getBrowserInfo();\n if (browserInfo) {\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': `browser:${browserInfo.browser}`,\n 'X-Stainless-Runtime-Version': browserInfo.version,\n };\n }\n // TODO add support for Cloudflare workers, etc.\n return {\n 'X-Stainless-Lang': 'js',\n 'X-Stainless-Package-Version': VERSION,\n 'X-Stainless-OS': 'Unknown',\n 'X-Stainless-Arch': 'unknown',\n 'X-Stainless-Runtime': 'unknown',\n 'X-Stainless-Runtime-Version': 'unknown',\n };\n};\n// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts\nfunction getBrowserInfo() {\n if (typeof navigator === 'undefined' || !navigator) {\n return null;\n }\n // NOTE: The order matters here!\n const browserPatterns = [\n { key: 'edge', pattern: /Edge(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /MSIE(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'ie', pattern: /Trident(?:.*rv\\:(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'chrome', pattern: /Chrome(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'firefox', pattern: /Firefox(?:\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?/ },\n { key: 'safari', pattern: /(?:Version\\W+(\\d+)\\.(\\d+)(?:\\.(\\d+))?)?(?:\\W+Mobile\\S*)?\\W+Safari/ },\n ];\n // Find the FIRST matching browser\n for (const { key, pattern } of browserPatterns) {\n const match = pattern.exec(navigator.userAgent);\n if (match) {\n const major = match[1] || 0;\n const minor = match[2] || 0;\n const patch = match[3] || 0;\n return { browser: key, version: `${major}.${minor}.${patch}` };\n }\n }\n return null;\n}\nconst normalizeArch = (arch) => {\n // Node docs:\n // - https://nodejs.org/api/process.html#processarch\n // Deno docs:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n if (arch === 'x32')\n return 'x32';\n if (arch === 'x86_64' || arch === 'x64')\n return 'x64';\n if (arch === 'arm')\n return 'arm';\n if (arch === 'aarch64' || arch === 'arm64')\n return 'arm64';\n if (arch)\n return `other:${arch}`;\n return 'unknown';\n};\nconst normalizePlatform = (platform) => {\n // Node platforms:\n // - https://nodejs.org/api/process.html#processplatform\n // Deno platforms:\n // - https://doc.deno.land/deno/stable/~/Deno.build\n // - https://github.com/denoland/deno/issues/14799\n platform = platform.toLowerCase();\n // NOTE: this iOS check is untested and may not work\n // Node does not work natively on IOS, there is a fork at\n // https://github.com/nodejs-mobile/nodejs-mobile\n // however it is unknown at the time of writing how to detect if it is running\n if (platform.includes('ios'))\n return 'iOS';\n if (platform === 'android')\n return 'Android';\n if (platform === 'darwin')\n return 'MacOS';\n if (platform === 'win32')\n return 'Windows';\n if (platform === 'freebsd')\n return 'FreeBSD';\n if (platform === 'openbsd')\n return 'OpenBSD';\n if (platform === 'linux')\n return 'Linux';\n if (platform)\n return `Other:${platform}`;\n return 'Unknown';\n};\nlet _platformHeaders;\nexport const getPlatformHeaders = () => {\n return (_platformHeaders ?? (_platformHeaders = getPlatformProperties()));\n};\n//# sourceMappingURL=detect-platform.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport function getDefaultFetch() {\n if (typeof fetch !== 'undefined') {\n return fetch;\n }\n throw new Error('`fetch` is not defined as a global; Either pass `fetch` to the client, `new OpenAI({ fetch })` or polyfill the global, `globalThis.fetch = fetch`');\n}\nexport function makeReadableStream(...args) {\n const ReadableStream = globalThis.ReadableStream;\n if (typeof ReadableStream === 'undefined') {\n // Note: All of the platforms / runtimes we officially support already define\n // `ReadableStream` as a global, so this should only ever be hit on unsupported runtimes.\n throw new Error('`ReadableStream` is not defined as a global; You will need to polyfill it, `globalThis.ReadableStream = ReadableStream`');\n }\n return new ReadableStream(...args);\n}\nexport function ReadableStreamFrom(iterable) {\n let iter = Symbol.asyncIterator in iterable ? iterable[Symbol.asyncIterator]() : iterable[Symbol.iterator]();\n return makeReadableStream({\n start() { },\n async pull(controller) {\n const { done, value } = await iter.next();\n if (done) {\n controller.close();\n }\n else {\n controller.enqueue(value);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n}\n/**\n * Most browsers don't yet have async iterable support for ReadableStream,\n * and Node has a very different way of reading bytes from its \"ReadableStream\".\n *\n * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490\n */\nexport function ReadableStreamToAsyncIterable(stream) {\n if (stream[Symbol.asyncIterator])\n return stream;\n const reader = stream.getReader();\n return {\n async next() {\n try {\n const result = await reader.read();\n if (result?.done)\n reader.releaseLock(); // release lock when stream becomes closed\n return result;\n }\n catch (e) {\n reader.releaseLock(); // release lock when stream becomes errored\n throw e;\n }\n },\n async return() {\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n return { done: true, value: undefined };\n },\n [Symbol.asyncIterator]() {\n return this;\n },\n };\n}\n/**\n * Cancels a ReadableStream we don't need to consume.\n * See https://undici.nodejs.org/#/?id=garbage-collection\n */\nexport async function CancelReadableStream(stream) {\n if (stream === null || typeof stream !== 'object')\n return;\n if (stream[Symbol.asyncIterator]) {\n await stream[Symbol.asyncIterator]().return?.();\n return;\n }\n const reader = stream.getReader();\n const cancelPromise = reader.cancel();\n reader.releaseLock();\n await cancelPromise;\n}\n//# sourceMappingURL=shims.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport const FallbackEncoder = ({ headers, body }) => {\n return {\n bodyHeaders: {\n 'content-type': 'application/json',\n },\n body: JSON.stringify(body),\n };\n};\n//# sourceMappingURL=request-options.mjs.map","export const default_format = 'RFC3986';\nexport const default_formatter = (v) => String(v);\nexport const formatters = {\n RFC1738: (v) => String(v).replace(/%20/g, '+'),\n RFC3986: default_formatter,\n};\nexport const RFC1738 = 'RFC1738';\nexport const RFC3986 = 'RFC3986';\n//# sourceMappingURL=formats.mjs.map","import { RFC1738 } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nexport let has = (obj, key) => ((has = Object.hasOwn ?? Function.prototype.call.bind(Object.prototype.hasOwnProperty)),\n has(obj, key));\nconst hex_table = /* @__PURE__ */ (() => {\n const array = [];\n for (let i = 0; i < 256; ++i) {\n array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase());\n }\n return array;\n})();\nfunction compact_queue(queue) {\n while (queue.length > 1) {\n const item = queue.pop();\n if (!item)\n continue;\n const obj = item.obj[item.prop];\n if (isArray(obj)) {\n const compacted = [];\n for (let j = 0; j < obj.length; ++j) {\n if (typeof obj[j] !== 'undefined') {\n compacted.push(obj[j]);\n }\n }\n // @ts-ignore\n item.obj[item.prop] = compacted;\n }\n }\n}\nfunction array_to_object(source, options) {\n const obj = options && options.plainObjects ? Object.create(null) : {};\n for (let i = 0; i < source.length; ++i) {\n if (typeof source[i] !== 'undefined') {\n obj[i] = source[i];\n }\n }\n return obj;\n}\nexport function merge(target, source, options = {}) {\n if (!source) {\n return target;\n }\n if (typeof source !== 'object') {\n if (isArray(target)) {\n target.push(source);\n }\n else if (target && typeof target === 'object') {\n if ((options && (options.plainObjects || options.allowPrototypes)) || !has(Object.prototype, source)) {\n target[source] = true;\n }\n }\n else {\n return [target, source];\n }\n return target;\n }\n if (!target || typeof target !== 'object') {\n return [target].concat(source);\n }\n let mergeTarget = target;\n if (isArray(target) && !isArray(source)) {\n // @ts-ignore\n mergeTarget = array_to_object(target, options);\n }\n if (isArray(target) && isArray(source)) {\n source.forEach(function (item, i) {\n if (has(target, i)) {\n const targetItem = target[i];\n if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') {\n target[i] = merge(targetItem, item, options);\n }\n else {\n target.push(item);\n }\n }\n else {\n target[i] = item;\n }\n });\n return target;\n }\n return Object.keys(source).reduce(function (acc, key) {\n const value = source[key];\n if (has(acc, key)) {\n acc[key] = merge(acc[key], value, options);\n }\n else {\n acc[key] = value;\n }\n return acc;\n }, mergeTarget);\n}\nexport function assign_single_source(target, source) {\n return Object.keys(source).reduce(function (acc, key) {\n acc[key] = source[key];\n return acc;\n }, target);\n}\nexport function decode(str, _, charset) {\n const strWithoutPlus = str.replace(/\\+/g, ' ');\n if (charset === 'iso-8859-1') {\n // unescape never throws, no try...catch needed:\n return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape);\n }\n // utf-8\n try {\n return decodeURIComponent(strWithoutPlus);\n }\n catch (e) {\n return strWithoutPlus;\n }\n}\nconst limit = 1024;\nexport const encode = (str, _defaultEncoder, charset, _kind, format) => {\n // This code was originally written by Brian White for the io.js core querystring library.\n // It has been adapted here for stricter adherence to RFC 3986\n if (str.length === 0) {\n return str;\n }\n let string = str;\n if (typeof str === 'symbol') {\n string = Symbol.prototype.toString.call(str);\n }\n else if (typeof str !== 'string') {\n string = String(str);\n }\n if (charset === 'iso-8859-1') {\n return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) {\n return '%26%23' + parseInt($0.slice(2), 16) + '%3B';\n });\n }\n let out = '';\n for (let j = 0; j < string.length; j += limit) {\n const segment = string.length >= limit ? string.slice(j, j + limit) : string;\n const arr = [];\n for (let i = 0; i < segment.length; ++i) {\n let c = segment.charCodeAt(i);\n if (c === 0x2d || // -\n c === 0x2e || // .\n c === 0x5f || // _\n c === 0x7e || // ~\n (c >= 0x30 && c <= 0x39) || // 0-9\n (c >= 0x41 && c <= 0x5a) || // a-z\n (c >= 0x61 && c <= 0x7a) || // A-Z\n (format === RFC1738 && (c === 0x28 || c === 0x29)) // ( )\n ) {\n arr[arr.length] = segment.charAt(i);\n continue;\n }\n if (c < 0x80) {\n arr[arr.length] = hex_table[c];\n continue;\n }\n if (c < 0x800) {\n arr[arr.length] = hex_table[0xc0 | (c >> 6)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n if (c < 0xd800 || c >= 0xe000) {\n arr[arr.length] =\n hex_table[0xe0 | (c >> 12)] + hex_table[0x80 | ((c >> 6) & 0x3f)] + hex_table[0x80 | (c & 0x3f)];\n continue;\n }\n i += 1;\n c = 0x10000 + (((c & 0x3ff) << 10) | (segment.charCodeAt(i) & 0x3ff));\n arr[arr.length] =\n hex_table[0xf0 | (c >> 18)] +\n hex_table[0x80 | ((c >> 12) & 0x3f)] +\n hex_table[0x80 | ((c >> 6) & 0x3f)] +\n hex_table[0x80 | (c & 0x3f)];\n }\n out += arr.join('');\n }\n return out;\n};\nexport function compact(value) {\n const queue = [{ obj: { o: value }, prop: 'o' }];\n const refs = [];\n for (let i = 0; i < queue.length; ++i) {\n const item = queue[i];\n // @ts-ignore\n const obj = item.obj[item.prop];\n const keys = Object.keys(obj);\n for (let j = 0; j < keys.length; ++j) {\n const key = keys[j];\n const val = obj[key];\n if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) {\n queue.push({ obj: obj, prop: key });\n refs.push(val);\n }\n }\n }\n compact_queue(queue);\n return value;\n}\nexport function is_regexp(obj) {\n return Object.prototype.toString.call(obj) === '[object RegExp]';\n}\nexport function is_buffer(obj) {\n if (!obj || typeof obj !== 'object') {\n return false;\n }\n return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj));\n}\nexport function combine(a, b) {\n return [].concat(a, b);\n}\nexport function maybe_map(val, fn) {\n if (isArray(val)) {\n const mapped = [];\n for (let i = 0; i < val.length; i += 1) {\n mapped.push(fn(val[i]));\n }\n return mapped;\n }\n return fn(val);\n}\n//# sourceMappingURL=utils.mjs.map","import { encode, is_buffer, maybe_map, has } from \"./utils.mjs\";\nimport { default_format, default_formatter, formatters } from \"./formats.mjs\";\nimport { isArray } from \"../utils/values.mjs\";\nconst array_prefix_generators = {\n brackets(prefix) {\n return String(prefix) + '[]';\n },\n comma: 'comma',\n indices(prefix, key) {\n return String(prefix) + '[' + key + ']';\n },\n repeat(prefix) {\n return String(prefix);\n },\n};\nconst push_to_array = function (arr, value_or_array) {\n Array.prototype.push.apply(arr, isArray(value_or_array) ? value_or_array : [value_or_array]);\n};\nlet toISOString;\nconst defaults = {\n addQueryPrefix: false,\n allowDots: false,\n allowEmptyArrays: false,\n arrayFormat: 'indices',\n charset: 'utf-8',\n charsetSentinel: false,\n delimiter: '&',\n encode: true,\n encodeDotInKeys: false,\n encoder: encode,\n encodeValuesOnly: false,\n format: default_format,\n formatter: default_formatter,\n /** @deprecated */\n indices: false,\n serializeDate(date) {\n return (toISOString ?? (toISOString = Function.prototype.call.bind(Date.prototype.toISOString)))(date);\n },\n skipNulls: false,\n strictNullHandling: false,\n};\nfunction is_non_nullish_primitive(v) {\n return (typeof v === 'string' ||\n typeof v === 'number' ||\n typeof v === 'boolean' ||\n typeof v === 'symbol' ||\n typeof v === 'bigint');\n}\nconst sentinel = {};\nfunction inner_stringify(object, prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, sideChannel) {\n let obj = object;\n let tmp_sc = sideChannel;\n let step = 0;\n let find_flag = false;\n while ((tmp_sc = tmp_sc.get(sentinel)) !== void undefined && !find_flag) {\n // Where object last appeared in the ref tree\n const pos = tmp_sc.get(object);\n step += 1;\n if (typeof pos !== 'undefined') {\n if (pos === step) {\n throw new RangeError('Cyclic object value');\n }\n else {\n find_flag = true; // Break while\n }\n }\n if (typeof tmp_sc.get(sentinel) === 'undefined') {\n step = 0;\n }\n }\n if (typeof filter === 'function') {\n obj = filter(prefix, obj);\n }\n else if (obj instanceof Date) {\n obj = serializeDate?.(obj);\n }\n else if (generateArrayPrefix === 'comma' && isArray(obj)) {\n obj = maybe_map(obj, function (value) {\n if (value instanceof Date) {\n return serializeDate?.(value);\n }\n return value;\n });\n }\n if (obj === null) {\n if (strictNullHandling) {\n return encoder && !encodeValuesOnly ?\n // @ts-expect-error\n encoder(prefix, defaults.encoder, charset, 'key', format)\n : prefix;\n }\n obj = '';\n }\n if (is_non_nullish_primitive(obj) || is_buffer(obj)) {\n if (encoder) {\n const key_value = encodeValuesOnly ? prefix\n // @ts-expect-error\n : encoder(prefix, defaults.encoder, charset, 'key', format);\n return [\n formatter?.(key_value) +\n '=' +\n // @ts-expect-error\n formatter?.(encoder(obj, defaults.encoder, charset, 'value', format)),\n ];\n }\n return [formatter?.(prefix) + '=' + formatter?.(String(obj))];\n }\n const values = [];\n if (typeof obj === 'undefined') {\n return values;\n }\n let obj_keys;\n if (generateArrayPrefix === 'comma' && isArray(obj)) {\n // we need to join elements in\n if (encodeValuesOnly && encoder) {\n // @ts-expect-error values only\n obj = maybe_map(obj, encoder);\n }\n obj_keys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }];\n }\n else if (isArray(filter)) {\n obj_keys = filter;\n }\n else {\n const keys = Object.keys(obj);\n obj_keys = sort ? keys.sort(sort) : keys;\n }\n const encoded_prefix = encodeDotInKeys ? String(prefix).replace(/\\./g, '%2E') : String(prefix);\n const adjusted_prefix = commaRoundTrip && isArray(obj) && obj.length === 1 ? encoded_prefix + '[]' : encoded_prefix;\n if (allowEmptyArrays && isArray(obj) && obj.length === 0) {\n return adjusted_prefix + '[]';\n }\n for (let j = 0; j < obj_keys.length; ++j) {\n const key = obj_keys[j];\n const value = \n // @ts-ignore\n typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key];\n if (skipNulls && value === null) {\n continue;\n }\n // @ts-ignore\n const encoded_key = allowDots && encodeDotInKeys ? key.replace(/\\./g, '%2E') : key;\n const key_prefix = isArray(obj) ?\n typeof generateArrayPrefix === 'function' ?\n generateArrayPrefix(adjusted_prefix, encoded_key)\n : adjusted_prefix\n : adjusted_prefix + (allowDots ? '.' + encoded_key : '[' + encoded_key + ']');\n sideChannel.set(object, step);\n const valueSideChannel = new WeakMap();\n valueSideChannel.set(sentinel, sideChannel);\n push_to_array(values, inner_stringify(value, key_prefix, generateArrayPrefix, commaRoundTrip, allowEmptyArrays, strictNullHandling, skipNulls, encodeDotInKeys, \n // @ts-ignore\n generateArrayPrefix === 'comma' && encodeValuesOnly && isArray(obj) ? null : encoder, filter, sort, allowDots, serializeDate, format, formatter, encodeValuesOnly, charset, valueSideChannel));\n }\n return values;\n}\nfunction normalize_stringify_options(opts = defaults) {\n if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') {\n throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided');\n }\n if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') {\n throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided');\n }\n if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') {\n throw new TypeError('Encoder has to be a function.');\n }\n const charset = opts.charset || defaults.charset;\n if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') {\n throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined');\n }\n let format = default_format;\n if (typeof opts.format !== 'undefined') {\n if (!has(formatters, opts.format)) {\n throw new TypeError('Unknown format option provided.');\n }\n format = opts.format;\n }\n const formatter = formatters[format];\n let filter = defaults.filter;\n if (typeof opts.filter === 'function' || isArray(opts.filter)) {\n filter = opts.filter;\n }\n let arrayFormat;\n if (opts.arrayFormat && opts.arrayFormat in array_prefix_generators) {\n arrayFormat = opts.arrayFormat;\n }\n else if ('indices' in opts) {\n arrayFormat = opts.indices ? 'indices' : 'repeat';\n }\n else {\n arrayFormat = defaults.arrayFormat;\n }\n if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') {\n throw new TypeError('`commaRoundTrip` must be a boolean, or absent');\n }\n const allowDots = typeof opts.allowDots === 'undefined' ?\n !!opts.encodeDotInKeys === true ?\n true\n : defaults.allowDots\n : !!opts.allowDots;\n return {\n addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix,\n // @ts-ignore\n allowDots: allowDots,\n allowEmptyArrays: typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays,\n arrayFormat: arrayFormat,\n charset: charset,\n charsetSentinel: typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel,\n commaRoundTrip: !!opts.commaRoundTrip,\n delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter,\n encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode,\n encodeDotInKeys: typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys,\n encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder,\n encodeValuesOnly: typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly,\n filter: filter,\n format: format,\n formatter: formatter,\n serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate,\n skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls,\n // @ts-ignore\n sort: typeof opts.sort === 'function' ? opts.sort : null,\n strictNullHandling: typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling,\n };\n}\nexport function stringify(object, opts = {}) {\n let obj = object;\n const options = normalize_stringify_options(opts);\n let obj_keys;\n let filter;\n if (typeof options.filter === 'function') {\n filter = options.filter;\n obj = filter('', obj);\n }\n else if (isArray(options.filter)) {\n filter = options.filter;\n obj_keys = filter;\n }\n const keys = [];\n if (typeof obj !== 'object' || obj === null) {\n return '';\n }\n const generateArrayPrefix = array_prefix_generators[options.arrayFormat];\n const commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip;\n if (!obj_keys) {\n obj_keys = Object.keys(obj);\n }\n if (options.sort) {\n obj_keys.sort(options.sort);\n }\n const sideChannel = new WeakMap();\n for (let i = 0; i < obj_keys.length; ++i) {\n const key = obj_keys[i];\n if (options.skipNulls && obj[key] === null) {\n continue;\n }\n push_to_array(keys, inner_stringify(obj[key], key, \n // @ts-expect-error\n generateArrayPrefix, commaRoundTrip, options.allowEmptyArrays, options.strictNullHandling, options.skipNulls, options.encodeDotInKeys, options.encode ? options.encoder : null, options.filter, options.sort, options.allowDots, options.serializeDate, options.format, options.formatter, options.encodeValuesOnly, options.charset, sideChannel));\n }\n const joined = keys.join(options.delimiter);\n let prefix = options.addQueryPrefix === true ? '?' : '';\n if (options.charsetSentinel) {\n if (options.charset === 'iso-8859-1') {\n // encodeURIComponent('✓'), the \"numeric entity\" representation of a checkmark\n prefix += 'utf8=%26%2310003%3B&';\n }\n else {\n // encodeURIComponent('✓')\n prefix += 'utf8=%E2%9C%93&';\n }\n }\n return joined.length > 0 ? prefix + joined : '';\n}\n//# sourceMappingURL=stringify.mjs.map","export function concatBytes(buffers) {\n let length = 0;\n for (const buffer of buffers) {\n length += buffer.length;\n }\n const output = new Uint8Array(length);\n let index = 0;\n for (const buffer of buffers) {\n output.set(buffer, index);\n index += buffer.length;\n }\n return output;\n}\nlet encodeUTF8_;\nexport function encodeUTF8(str) {\n let encoder;\n return (encodeUTF8_ ??\n ((encoder = new globalThis.TextEncoder()), (encodeUTF8_ = encoder.encode.bind(encoder))))(str);\n}\nlet decodeUTF8_;\nexport function decodeUTF8(bytes) {\n let decoder;\n return (decodeUTF8_ ??\n ((decoder = new globalThis.TextDecoder()), (decodeUTF8_ = decoder.decode.bind(decoder))))(bytes);\n}\n//# sourceMappingURL=bytes.mjs.map","var _LineDecoder_buffer, _LineDecoder_carriageReturnIndex;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../tslib.mjs\";\nimport { concatBytes, decodeUTF8, encodeUTF8 } from \"../utils/bytes.mjs\";\n/**\n * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally\n * reading lines from text.\n *\n * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258\n */\nexport class LineDecoder {\n constructor() {\n _LineDecoder_buffer.set(this, void 0);\n _LineDecoder_carriageReturnIndex.set(this, void 0);\n __classPrivateFieldSet(this, _LineDecoder_buffer, new Uint8Array(), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n decode(chunk) {\n if (chunk == null) {\n return [];\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n __classPrivateFieldSet(this, _LineDecoder_buffer, concatBytes([__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), binaryChunk]), \"f\");\n const lines = [];\n let patternIndex;\n while ((patternIndex = findNewlineIndex(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\"), __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\"))) != null) {\n if (patternIndex.carriage && __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") == null) {\n // skip until we either get a corresponding `\\n`, a new `\\r` or nothing\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, patternIndex.index, \"f\");\n continue;\n }\n // we got double \\r or \\rtext\\n\n if (__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") != null &&\n (patternIndex.index !== __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") + 1 || patternIndex.carriage)) {\n lines.push(decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") - 1)));\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(__classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\")), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n continue;\n }\n const endIndex = __classPrivateFieldGet(this, _LineDecoder_carriageReturnIndex, \"f\") !== null ? patternIndex.preceding - 1 : patternIndex.preceding;\n const line = decodeUTF8(__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(0, endIndex));\n lines.push(line);\n __classPrivateFieldSet(this, _LineDecoder_buffer, __classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").subarray(patternIndex.index), \"f\");\n __classPrivateFieldSet(this, _LineDecoder_carriageReturnIndex, null, \"f\");\n }\n return lines;\n }\n flush() {\n if (!__classPrivateFieldGet(this, _LineDecoder_buffer, \"f\").length) {\n return [];\n }\n return this.decode('\\n');\n }\n}\n_LineDecoder_buffer = new WeakMap(), _LineDecoder_carriageReturnIndex = new WeakMap();\n// prettier-ignore\nLineDecoder.NEWLINE_CHARS = new Set(['\\n', '\\r']);\nLineDecoder.NEWLINE_REGEXP = /\\r\\n|[\\n\\r]/g;\n/**\n * This function searches the buffer for the end patterns, (\\r or \\n)\n * and returns an object with the index preceding the matched newline and the\n * index after the newline char. `null` is returned if no new line is found.\n *\n * ```ts\n * findNewLineIndex('abc\\ndef') -> { preceding: 2, index: 3 }\n * ```\n */\nfunction findNewlineIndex(buffer, startIndex) {\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = startIndex ?? 0; i < buffer.length; i++) {\n if (buffer[i] === newline) {\n return { preceding: i, index: i + 1, carriage: false };\n }\n if (buffer[i] === carriage) {\n return { preceding: i, index: i + 1, carriage: true };\n }\n }\n return null;\n}\nexport function findDoubleNewlineIndex(buffer) {\n // This function searches the buffer for the end patterns (\\r\\r, \\n\\n, \\r\\n\\r\\n)\n // and returns the index right after the first occurrence of any pattern,\n // or -1 if none of the patterns are found.\n const newline = 0x0a; // \\n\n const carriage = 0x0d; // \\r\n for (let i = 0; i < buffer.length - 1; i++) {\n if (buffer[i] === newline && buffer[i + 1] === newline) {\n // \\n\\n\n return i + 2;\n }\n if (buffer[i] === carriage && buffer[i + 1] === carriage) {\n // \\r\\r\n return i + 2;\n }\n if (buffer[i] === carriage &&\n buffer[i + 1] === newline &&\n i + 3 < buffer.length &&\n buffer[i + 2] === carriage &&\n buffer[i + 3] === newline) {\n // \\r\\n\\r\\n\n return i + 4;\n }\n }\n return -1;\n}\n//# sourceMappingURL=line.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { hasOwn } from \"./values.mjs\";\nconst levelNumbers = {\n off: 0,\n error: 200,\n warn: 300,\n info: 400,\n debug: 500,\n};\nexport const parseLogLevel = (maybeLevel, sourceName, client) => {\n if (!maybeLevel) {\n return undefined;\n }\n if (hasOwn(levelNumbers, maybeLevel)) {\n return maybeLevel;\n }\n loggerFor(client).warn(`${sourceName} was set to ${JSON.stringify(maybeLevel)}, expected one of ${JSON.stringify(Object.keys(levelNumbers))}`);\n return undefined;\n};\nfunction noop() { }\nfunction makeLogFn(fnLevel, logger, logLevel) {\n if (!logger || levelNumbers[fnLevel] > levelNumbers[logLevel]) {\n return noop;\n }\n else {\n // Don't wrap logger functions, we want the stacktrace intact!\n return logger[fnLevel].bind(logger);\n }\n}\nconst noopLogger = {\n error: noop,\n warn: noop,\n info: noop,\n debug: noop,\n};\nlet cachedLoggers = /* @__PURE__ */ new WeakMap();\nexport function loggerFor(client) {\n const logger = client.logger;\n const logLevel = client.logLevel ?? 'off';\n if (!logger) {\n return noopLogger;\n }\n const cachedLogger = cachedLoggers.get(logger);\n if (cachedLogger && cachedLogger[0] === logLevel) {\n return cachedLogger[1];\n }\n const levelLogger = {\n error: makeLogFn('error', logger, logLevel),\n warn: makeLogFn('warn', logger, logLevel),\n info: makeLogFn('info', logger, logLevel),\n debug: makeLogFn('debug', logger, logLevel),\n };\n cachedLoggers.set(logger, [logLevel, levelLogger]);\n return levelLogger;\n}\nexport const formatRequestDetails = (details) => {\n if (details.options) {\n details.options = { ...details.options };\n delete details.options['headers']; // redundant + leaks internals\n }\n if (details.headers) {\n details.headers = Object.fromEntries((details.headers instanceof Headers ? [...details.headers] : Object.entries(details.headers)).map(([name, value]) => [\n name,\n (name.toLowerCase() === 'authorization' ||\n name.toLowerCase() === 'cookie' ||\n name.toLowerCase() === 'set-cookie') ?\n '***'\n : value,\n ]));\n }\n if ('retryOfRequestLogID' in details) {\n if (details.retryOfRequestLogID) {\n details.retryOf = details.retryOfRequestLogID;\n }\n delete details.retryOfRequestLogID;\n }\n return details;\n};\n//# sourceMappingURL=log.mjs.map","var _Stream_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { makeReadableStream } from \"../internal/shims.mjs\";\nimport { findDoubleNewlineIndex, LineDecoder } from \"../internal/decoders/line.mjs\";\nimport { ReadableStreamToAsyncIterable } from \"../internal/shims.mjs\";\nimport { isAbortError } from \"../internal/errors.mjs\";\nimport { encodeUTF8 } from \"../internal/utils/bytes.mjs\";\nimport { loggerFor } from \"../internal/utils/log.mjs\";\nimport { APIError } from \"./error.mjs\";\nexport class Stream {\n constructor(iterator, controller, client) {\n this.iterator = iterator;\n _Stream_client.set(this, void 0);\n this.controller = controller;\n __classPrivateFieldSet(this, _Stream_client, client, \"f\");\n }\n static fromSSEResponse(response, controller, client) {\n let consumed = false;\n const logger = client ? loggerFor(client) : console;\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const sse of _iterSSEMessages(response, controller)) {\n if (done)\n continue;\n if (sse.data.startsWith('[DONE]')) {\n done = true;\n continue;\n }\n if (sse.event === null || !sse.event.startsWith('thread.')) {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n logger.error(`Could not parse message into JSON:`, sse.data);\n logger.error(`From chunk:`, sse.raw);\n throw e;\n }\n if (data && data.error) {\n throw new APIError(undefined, data.error, undefined, response.headers);\n }\n yield data;\n }\n else {\n let data;\n try {\n data = JSON.parse(sse.data);\n }\n catch (e) {\n console.error(`Could not parse message into JSON:`, sse.data);\n console.error(`From chunk:`, sse.raw);\n throw e;\n }\n // TODO: Is this where the error should be thrown?\n if (sse.event == 'error') {\n throw new APIError(undefined, data.error, data.message, undefined);\n }\n yield { event: sse.event, data: data };\n }\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n /**\n * Generates a Stream from a newline-separated ReadableStream\n * where each item is a JSON value.\n */\n static fromReadableStream(readableStream, controller, client) {\n let consumed = false;\n async function* iterLines() {\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(readableStream);\n for await (const chunk of iter) {\n for (const line of lineDecoder.decode(chunk)) {\n yield line;\n }\n }\n for (const line of lineDecoder.flush()) {\n yield line;\n }\n }\n async function* iterator() {\n if (consumed) {\n throw new OpenAIError('Cannot iterate over a consumed stream, use `.tee()` to split the stream.');\n }\n consumed = true;\n let done = false;\n try {\n for await (const line of iterLines()) {\n if (done)\n continue;\n if (line)\n yield JSON.parse(line);\n }\n done = true;\n }\n catch (e) {\n // If the user calls `stream.controller.abort()`, we should exit without throwing.\n if (isAbortError(e))\n return;\n throw e;\n }\n finally {\n // If the user `break`s, abort the ongoing request.\n if (!done)\n controller.abort();\n }\n }\n return new Stream(iterator, controller, client);\n }\n [(_Stream_client = new WeakMap(), Symbol.asyncIterator)]() {\n return this.iterator();\n }\n /**\n * Splits the stream into two streams which can be\n * independently read from at different speeds.\n */\n tee() {\n const left = [];\n const right = [];\n const iterator = this.iterator();\n const teeIterator = (queue) => {\n return {\n next: () => {\n if (queue.length === 0) {\n const result = iterator.next();\n left.push(result);\n right.push(result);\n }\n return queue.shift();\n },\n };\n };\n return [\n new Stream(() => teeIterator(left), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n new Stream(() => teeIterator(right), this.controller, __classPrivateFieldGet(this, _Stream_client, \"f\")),\n ];\n }\n /**\n * Converts this stream to a newline-separated ReadableStream of\n * JSON stringified values in the stream\n * which can be turned back into a Stream with `Stream.fromReadableStream()`.\n */\n toReadableStream() {\n const self = this;\n let iter;\n return makeReadableStream({\n async start() {\n iter = self[Symbol.asyncIterator]();\n },\n async pull(ctrl) {\n try {\n const { value, done } = await iter.next();\n if (done)\n return ctrl.close();\n const bytes = encodeUTF8(JSON.stringify(value) + '\\n');\n ctrl.enqueue(bytes);\n }\n catch (err) {\n ctrl.error(err);\n }\n },\n async cancel() {\n await iter.return?.();\n },\n });\n }\n}\nexport async function* _iterSSEMessages(response, controller) {\n if (!response.body) {\n controller.abort();\n if (typeof globalThis.navigator !== 'undefined' &&\n globalThis.navigator.product === 'ReactNative') {\n throw new OpenAIError(`The default react-native fetch implementation does not support streaming. Please use expo/fetch: https://docs.expo.dev/versions/latest/sdk/expo/#expofetch-api`);\n }\n throw new OpenAIError(`Attempted to iterate over a response with no body`);\n }\n const sseDecoder = new SSEDecoder();\n const lineDecoder = new LineDecoder();\n const iter = ReadableStreamToAsyncIterable(response.body);\n for await (const sseChunk of iterSSEChunks(iter)) {\n for (const line of lineDecoder.decode(sseChunk)) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n }\n for (const line of lineDecoder.flush()) {\n const sse = sseDecoder.decode(line);\n if (sse)\n yield sse;\n }\n}\n/**\n * Given an async iterable iterator, iterates over it and yields full\n * SSE chunks, i.e. yields when a double new-line is encountered.\n */\nasync function* iterSSEChunks(iterator) {\n let data = new Uint8Array();\n for await (const chunk of iterator) {\n if (chunk == null) {\n continue;\n }\n const binaryChunk = chunk instanceof ArrayBuffer ? new Uint8Array(chunk)\n : typeof chunk === 'string' ? encodeUTF8(chunk)\n : chunk;\n let newData = new Uint8Array(data.length + binaryChunk.length);\n newData.set(data);\n newData.set(binaryChunk, data.length);\n data = newData;\n let patternIndex;\n while ((patternIndex = findDoubleNewlineIndex(data)) !== -1) {\n yield data.slice(0, patternIndex);\n data = data.slice(patternIndex);\n }\n }\n if (data.length > 0) {\n yield data;\n }\n}\nclass SSEDecoder {\n constructor() {\n this.event = null;\n this.data = [];\n this.chunks = [];\n }\n decode(line) {\n if (line.endsWith('\\r')) {\n line = line.substring(0, line.length - 1);\n }\n if (!line) {\n // empty line and we didn't previously encounter any messages\n if (!this.event && !this.data.length)\n return null;\n const sse = {\n event: this.event,\n data: this.data.join('\\n'),\n raw: this.chunks,\n };\n this.event = null;\n this.data = [];\n this.chunks = [];\n return sse;\n }\n this.chunks.push(line);\n if (line.startsWith(':')) {\n return null;\n }\n let [fieldname, _, value] = partition(line, ':');\n if (value.startsWith(' ')) {\n value = value.substring(1);\n }\n if (fieldname === 'event') {\n this.event = value;\n }\n else if (fieldname === 'data') {\n this.data.push(value);\n }\n return null;\n }\n}\nfunction partition(str, delimiter) {\n const index = str.indexOf(delimiter);\n if (index !== -1) {\n return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)];\n }\n return [str, '', ''];\n}\n//# sourceMappingURL=streaming.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _APIPromise_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { defaultParseResponse, addRequestID, } from \"../internal/parse.mjs\";\n/**\n * A subclass of `Promise` providing additional helper methods\n * for interacting with the SDK.\n */\nexport class APIPromise extends Promise {\n constructor(client, responsePromise, parseResponse = defaultParseResponse) {\n super((resolve) => {\n // this is maybe a bit weird but this has to be a no-op to not implicitly\n // parse the response body; instead .then, .catch, .finally are overridden\n // to parse the response\n resolve(null);\n });\n this.responsePromise = responsePromise;\n this.parseResponse = parseResponse;\n _APIPromise_client.set(this, void 0);\n __classPrivateFieldSet(this, _APIPromise_client, client, \"f\");\n }\n _thenUnwrap(transform) {\n return new APIPromise(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), this.responsePromise, async (client, props) => addRequestID(transform(await this.parseResponse(client, props), props), props.response));\n }\n /**\n * Gets the raw `Response` instance instead of parsing the response\n * data.\n *\n * If you want to parse the response body but still get the `Response`\n * instance, you can use {@link withResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n asResponse() {\n return this.responsePromise.then((p) => p.response);\n }\n /**\n * Gets the parsed response data, the raw `Response` instance and the ID of the request,\n * returned via the X-Request-ID header which is useful for debugging requests and reporting\n * issues to OpenAI.\n *\n * If you just want to get the raw `Response` instance without parsing it,\n * you can use {@link asResponse()}.\n *\n * 👋 Getting the wrong TypeScript type for `Response`?\n * Try setting `\"moduleResolution\": \"NodeNext\"` or add `\"lib\": [\"DOM\"]`\n * to your `tsconfig.json`.\n */\n async withResponse() {\n const [data, response] = await Promise.all([this.parse(), this.asResponse()]);\n return { data, response, request_id: response.headers.get('x-request-id') };\n }\n parse() {\n if (!this.parsedPromise) {\n this.parsedPromise = this.responsePromise.then((data) => this.parseResponse(__classPrivateFieldGet(this, _APIPromise_client, \"f\"), data));\n }\n return this.parsedPromise;\n }\n then(onfulfilled, onrejected) {\n return this.parse().then(onfulfilled, onrejected);\n }\n catch(onrejected) {\n return this.parse().catch(onrejected);\n }\n finally(onfinally) {\n return this.parse().finally(onfinally);\n }\n}\n_APIPromise_client = new WeakMap();\n//# sourceMappingURL=api-promise.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _AbstractPage_client;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"./error.mjs\";\nimport { defaultParseResponse } from \"../internal/parse.mjs\";\nimport { APIPromise } from \"./api-promise.mjs\";\nimport { maybeObj } from \"../internal/utils/values.mjs\";\nexport class AbstractPage {\n constructor(client, response, body, options) {\n _AbstractPage_client.set(this, void 0);\n __classPrivateFieldSet(this, _AbstractPage_client, client, \"f\");\n this.options = options;\n this.response = response;\n this.body = body;\n }\n hasNextPage() {\n const items = this.getPaginatedItems();\n if (!items.length)\n return false;\n return this.nextPageRequestOptions() != null;\n }\n async getNextPage() {\n const nextOptions = this.nextPageRequestOptions();\n if (!nextOptions) {\n throw new OpenAIError('No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.');\n }\n return await __classPrivateFieldGet(this, _AbstractPage_client, \"f\").requestAPIList(this.constructor, nextOptions);\n }\n async *iterPages() {\n let page = this;\n yield page;\n while (page.hasNextPage()) {\n page = await page.getNextPage();\n yield page;\n }\n }\n async *[(_AbstractPage_client = new WeakMap(), Symbol.asyncIterator)]() {\n for await (const page of this.iterPages()) {\n for (const item of page.getPaginatedItems()) {\n yield item;\n }\n }\n }\n}\n/**\n * This subclass of Promise will resolve to an instantiated Page once the request completes.\n *\n * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\nexport class PagePromise extends APIPromise {\n constructor(client, request, Page) {\n super(client, request, async (client, props) => new Page(client, props.response, await defaultParseResponse(client, props), props.options));\n }\n /**\n * Allow auto-paginating iteration on an unawaited list call, eg:\n *\n * for await (const item of client.items.list()) {\n * console.log(item)\n * }\n */\n async *[Symbol.asyncIterator]() {\n const page = await this;\n for await (const item of page) {\n yield item;\n }\n }\n}\n/**\n * Note: no pagination actually occurs yet, this is for forwards-compatibility.\n */\nexport class Page extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.object = body.object;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n nextPageRequestOptions() {\n return null;\n }\n}\nexport class CursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const data = this.getPaginatedItems();\n const id = data[data.length - 1]?.id;\n if (!id) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: id,\n },\n };\n }\n}\nexport class ConversationCursorPage extends AbstractPage {\n constructor(client, response, body, options) {\n super(client, response, body, options);\n this.data = body.data || [];\n this.has_more = body.has_more || false;\n this.last_id = body.last_id || '';\n }\n getPaginatedItems() {\n return this.data ?? [];\n }\n hasNextPage() {\n if (this.has_more === false) {\n return false;\n }\n return super.hasNextPage();\n }\n nextPageRequestOptions() {\n const cursor = this.last_id;\n if (!cursor) {\n return null;\n }\n return {\n ...this.options,\n query: {\n ...maybeObj(this.options.query),\n after: cursor,\n },\n };\n }\n}\n//# sourceMappingURL=pagination.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { Stream } from \"../core/streaming.mjs\";\nimport { formatRequestDetails, loggerFor } from \"./utils/log.mjs\";\nexport async function defaultParseResponse(client, props) {\n const { response, requestLogID, retryOfRequestLogID, startTime } = props;\n const body = await (async () => {\n if (props.options.stream) {\n loggerFor(client).debug('response', response.status, response.url, response.headers, response.body);\n // Note: there is an invariant here that isn't represented in the type system\n // that if you set `stream: true` the response type must also be `Stream`\n if (props.options.__streamClass) {\n return props.options.__streamClass.fromSSEResponse(response, props.controller, client);\n }\n return Stream.fromSSEResponse(response, props.controller, client);\n }\n // fetch refuses to read the body when the status code is 204.\n if (response.status === 204) {\n return null;\n }\n if (props.options.__binaryResponse) {\n return response;\n }\n const contentType = response.headers.get('content-type');\n const mediaType = contentType?.split(';')[0]?.trim();\n const isJSON = mediaType?.includes('application/json') || mediaType?.endsWith('+json');\n if (isJSON) {\n const json = await response.json();\n return addRequestID(json, response);\n }\n const text = await response.text();\n return text;\n })();\n loggerFor(client).debug(`[${requestLogID}] response parsed`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n body,\n durationMs: Date.now() - startTime,\n }));\n return body;\n}\nexport function addRequestID(value, response) {\n if (!value || typeof value !== 'object' || Array.isArray(value)) {\n return value;\n }\n return Object.defineProperty(value, '_request_id', {\n value: response.headers.get('x-request-id'),\n enumerable: false,\n });\n}\n//# sourceMappingURL=parse.mjs.map","import { ReadableStreamFrom } from \"./shims.mjs\";\nexport const checkFileSupport = () => {\n if (typeof File === 'undefined') {\n const { process } = globalThis;\n const isOldNode = typeof process?.versions?.node === 'string' && parseInt(process.versions.node.split('.')) < 20;\n throw new Error('`File` is not defined as a global, which is required for file uploads.' +\n (isOldNode ?\n \" Update to Node 20 LTS or newer, or set `globalThis.File` to `import('node:buffer').File`.\"\n : ''));\n }\n};\n/**\n * Construct a `File` instance. This is used to ensure a helpful error is thrown\n * for environments that don't define a global `File` yet.\n */\nexport function makeFile(fileBits, fileName, options) {\n checkFileSupport();\n return new File(fileBits, fileName ?? 'unknown_file', options);\n}\nexport function getName(value) {\n return (((typeof value === 'object' &&\n value !== null &&\n (('name' in value && value.name && String(value.name)) ||\n ('url' in value && value.url && String(value.url)) ||\n ('filename' in value && value.filename && String(value.filename)) ||\n ('path' in value && value.path && String(value.path)))) ||\n '')\n .split(/[\\\\/]/)\n .pop() || undefined);\n}\nexport const isAsyncIterable = (value) => value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function';\n/**\n * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value.\n * Otherwise returns the request as is.\n */\nexport const maybeMultipartFormRequestOptions = async (opts, fetch) => {\n if (!hasUploadableValue(opts.body))\n return opts;\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nexport const multipartFormRequestOptions = async (opts, fetch) => {\n return { ...opts, body: await createForm(opts.body, fetch) };\n};\nconst supportsFormDataMap = /* @__PURE__ */ new WeakMap();\n/**\n * node-fetch doesn't support the global FormData object in recent node versions. Instead of sending\n * properly-encoded form data, it just stringifies the object, resulting in a request body of \"[object FormData]\".\n * This function detects if the fetch function provided supports the global FormData object to avoid\n * confusing error messages later on.\n */\nfunction supportsFormData(fetchObject) {\n const fetch = typeof fetchObject === 'function' ? fetchObject : fetchObject.fetch;\n const cached = supportsFormDataMap.get(fetch);\n if (cached)\n return cached;\n const promise = (async () => {\n try {\n const FetchResponse = ('Response' in fetch ?\n fetch.Response\n : (await fetch('data:,')).constructor);\n const data = new FormData();\n if (data.toString() === (await new FetchResponse(data).text())) {\n return false;\n }\n return true;\n }\n catch {\n // avoid false negatives\n return true;\n }\n })();\n supportsFormDataMap.set(fetch, promise);\n return promise;\n}\nexport const createForm = async (body, fetch) => {\n if (!(await supportsFormData(fetch))) {\n throw new TypeError('The provided fetch function does not support file uploads with the current global FormData class.');\n }\n const form = new FormData();\n await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value)));\n return form;\n};\n// We check for Blob not File because Bun.File doesn't inherit from File,\n// but they both inherit from Blob and have a `name` property at runtime.\nconst isNamedBlob = (value) => value instanceof Blob && 'name' in value;\nconst isUploadable = (value) => typeof value === 'object' &&\n value !== null &&\n (value instanceof Response || isAsyncIterable(value) || isNamedBlob(value));\nconst hasUploadableValue = (value) => {\n if (isUploadable(value))\n return true;\n if (Array.isArray(value))\n return value.some(hasUploadableValue);\n if (value && typeof value === 'object') {\n for (const k in value) {\n if (hasUploadableValue(value[k]))\n return true;\n }\n }\n return false;\n};\nconst addFormValue = async (form, key, value) => {\n if (value === undefined)\n return;\n if (value == null) {\n throw new TypeError(`Received null for \"${key}\"; to pass null in FormData, you must use the string 'null'`);\n }\n // TODO: make nested formats configurable\n if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') {\n form.append(key, String(value));\n }\n else if (value instanceof Response) {\n form.append(key, makeFile([await value.blob()], getName(value)));\n }\n else if (isAsyncIterable(value)) {\n form.append(key, makeFile([await new Response(ReadableStreamFrom(value)).blob()], getName(value)));\n }\n else if (isNamedBlob(value)) {\n form.append(key, value, getName(value));\n }\n else if (Array.isArray(value)) {\n await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry)));\n }\n else if (typeof value === 'object') {\n await Promise.all(Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)));\n }\n else {\n throw new TypeError(`Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`);\n }\n};\n//# sourceMappingURL=uploads.mjs.map","import { getName, makeFile, isAsyncIterable } from \"./uploads.mjs\";\nimport { checkFileSupport } from \"./uploads.mjs\";\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isBlobLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.size === 'number' &&\n typeof value.type === 'string' &&\n typeof value.text === 'function' &&\n typeof value.slice === 'function' &&\n typeof value.arrayBuffer === 'function';\n/**\n * This check adds the arrayBuffer() method type because it is available and used at runtime\n */\nconst isFileLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.name === 'string' &&\n typeof value.lastModified === 'number' &&\n isBlobLike(value);\nconst isResponseLike = (value) => value != null &&\n typeof value === 'object' &&\n typeof value.url === 'string' &&\n typeof value.blob === 'function';\n/**\n * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats\n * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s\n * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible\n * @param {Object=} options additional properties\n * @param {string=} options.type the MIME type of the content\n * @param {number=} options.lastModified the last modified timestamp\n * @returns a {@link File} with the given properties\n */\nexport async function toFile(value, name, options) {\n checkFileSupport();\n // If it's a promise, resolve it.\n value = await value;\n // If we've been given a `File` we don't need to do anything\n if (isFileLike(value)) {\n if (value instanceof File) {\n return value;\n }\n return makeFile([await value.arrayBuffer()], value.name);\n }\n if (isResponseLike(value)) {\n const blob = await value.blob();\n name || (name = new URL(value.url).pathname.split(/[\\\\/]/).pop());\n return makeFile(await getBytes(blob), name, options);\n }\n const parts = await getBytes(value);\n name || (name = getName(value));\n if (!options?.type) {\n const type = parts.find((part) => typeof part === 'object' && 'type' in part && part.type);\n if (typeof type === 'string') {\n options = { ...options, type };\n }\n }\n return makeFile(parts, name, options);\n}\nasync function getBytes(value) {\n let parts = [];\n if (typeof value === 'string' ||\n ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc.\n value instanceof ArrayBuffer) {\n parts.push(value);\n }\n else if (isBlobLike(value)) {\n parts.push(value instanceof Blob ? value : await value.arrayBuffer());\n }\n else if (isAsyncIterable(value) // includes Readable, ReadableStream, etc.\n ) {\n for await (const chunk of value) {\n parts.push(...(await getBytes(chunk))); // TODO, consider validating?\n }\n }\n else {\n const constructor = value?.constructor?.name;\n throw new Error(`Unexpected data type: ${typeof value}${constructor ? `; constructor: ${constructor}` : ''}${propsForError(value)}`);\n }\n return parts;\n}\nfunction propsForError(value) {\n if (typeof value !== 'object' || value === null)\n return '';\n const props = Object.getOwnPropertyNames(value);\n return `; props: [${props.map((p) => `\"${p}\"`).join(', ')}]`;\n}\n//# sourceMappingURL=to-file.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nexport class APIResource {\n constructor(client) {\n this._client = client;\n }\n}\n//# sourceMappingURL=resource.mjs.map","import { OpenAIError } from \"../../core/error.mjs\";\n/**\n * Percent-encode everything that isn't safe to have in a path without encoding safe chars.\n *\n * Taken from https://datatracker.ietf.org/doc/html/rfc3986#section-3.3:\n * > unreserved = ALPHA / DIGIT / \"-\" / \".\" / \"_\" / \"~\"\n * > sub-delims = \"!\" / \"$\" / \"&\" / \"'\" / \"(\" / \")\" / \"*\" / \"+\" / \",\" / \";\" / \"=\"\n * > pchar = unreserved / pct-encoded / sub-delims / \":\" / \"@\"\n */\nexport function encodeURIPath(str) {\n return str.replace(/[^A-Za-z0-9\\-._~!$&'()*+,;=:@]+/g, encodeURIComponent);\n}\nconst EMPTY = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.create(null));\nexport const createPathTagFunction = (pathEncoder = encodeURIPath) => function path(statics, ...params) {\n // If there are no params, no processing is needed.\n if (statics.length === 1)\n return statics[0];\n let postPath = false;\n const invalidSegments = [];\n const path = statics.reduce((previousValue, currentValue, index) => {\n if (/[?#]/.test(currentValue)) {\n postPath = true;\n }\n const value = params[index];\n let encoded = (postPath ? encodeURIComponent : pathEncoder)('' + value);\n if (index !== params.length &&\n (value == null ||\n (typeof value === 'object' &&\n // handle values from other realms\n value.toString ===\n Object.getPrototypeOf(Object.getPrototypeOf(value.hasOwnProperty ?? EMPTY) ?? EMPTY)\n ?.toString))) {\n encoded = value + '';\n invalidSegments.push({\n start: previousValue.length + currentValue.length,\n length: encoded.length,\n error: `Value of type ${Object.prototype.toString\n .call(value)\n .slice(8, -1)} is not a valid path parameter`,\n });\n }\n return previousValue + currentValue + (index === params.length ? '' : encoded);\n }, '');\n const pathOnly = path.split(/[?#]/, 1)[0];\n const invalidSegmentPattern = /(?<=^|\\/)(?:\\.|%2e){1,2}(?=\\/|$)/gi;\n let match;\n // Find all invalid segments\n while ((match = invalidSegmentPattern.exec(pathOnly)) !== null) {\n invalidSegments.push({\n start: match.index,\n length: match[0].length,\n error: `Value \"${match[0]}\" can\\'t be safely passed as a path parameter`,\n });\n }\n invalidSegments.sort((a, b) => a.start - b.start);\n if (invalidSegments.length > 0) {\n let lastEnd = 0;\n const underline = invalidSegments.reduce((acc, segment) => {\n const spaces = ' '.repeat(segment.start - lastEnd);\n const arrows = '^'.repeat(segment.length);\n lastEnd = segment.start + segment.length;\n return acc + spaces + arrows;\n }, '');\n throw new OpenAIError(`Path parameters result in path with invalid segments:\\n${invalidSegments\n .map((e) => e.error)\n .join('\\n')}\\n${path}\\n${underline}`);\n }\n return path;\n};\n/**\n * URI-encodes path params and ensures no unsafe /./ or /../ path segments are introduced.\n */\nexport const path = /* @__PURE__ */ createPathTagFunction(encodeURIPath);\n//# sourceMappingURL=path.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Messages extends APIResource {\n /**\n * Get the messages in a stored chat completion. Only Chat Completions that have\n * been created with the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list(\n * 'completion_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(completionID, query = {}, options) {\n return this._client.getAPIList(path `/chat/completions/${completionID}/messages`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=messages.mjs.map","import { ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError } from \"../error.mjs\";\nexport function isChatCompletionFunctionTool(tool) {\n return tool !== undefined && 'function' in tool && tool.function !== undefined;\n}\nexport function makeParseableResponseFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function makeParseableTextFormat(response_format, parser) {\n const obj = { ...response_format };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-response-format',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableResponseFormat(response_format) {\n return response_format?.['$brand'] === 'auto-parseable-response-format';\n}\nexport function makeParseableTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nexport function maybeParseChatCompletion(completion, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...completion,\n choices: completion.choices.map((choice) => {\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n parsed: null,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls,\n }\n : undefined),\n },\n };\n }),\n };\n }\n return parseChatCompletion(completion, params);\n}\nexport function parseChatCompletion(completion, params) {\n const choices = completion.choices.map((choice) => {\n if (choice.finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (choice.finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n assertToolCallsAreChatCompletionFunctionToolCalls(choice.message.tool_calls);\n return {\n ...choice,\n message: {\n ...choice.message,\n ...(choice.message.tool_calls ?\n {\n tool_calls: choice.message.tool_calls?.map((toolCall) => parseToolCall(params, toolCall)) ?? undefined,\n }\n : undefined),\n parsed: choice.message.content && !choice.message.refusal ?\n parseResponseFormat(params, choice.message.content)\n : null,\n },\n };\n });\n return { ...completion, choices };\n}\nfunction parseResponseFormat(params, content) {\n if (params.response_format?.type !== 'json_schema') {\n return null;\n }\n if (params.response_format?.type === 'json_schema') {\n if ('$parseRaw' in params.response_format) {\n const response_format = params.response_format;\n return response_format.$parseRaw(content);\n }\n return JSON.parse(content);\n }\n return null;\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name); // TS doesn't narrow based on isChatCompletionTool\n return {\n ...toolCall,\n function: {\n ...toolCall.function,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCall.function.arguments)\n : null,\n },\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params || !('tools' in params) || !params.tools) {\n return false;\n }\n const inputTool = params.tools?.find((inputTool) => isChatCompletionFunctionTool(inputTool) && inputTool.function?.name === toolCall.function.name);\n return (isChatCompletionFunctionTool(inputTool) &&\n (isAutoParsableTool(inputTool) || inputTool?.function.strict || false));\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.response_format)) {\n return true;\n }\n return (params.tools?.some((t) => isAutoParsableTool(t) || (t.type === 'function' && t.function.strict === true)) ?? false);\n}\nexport function assertToolCallsAreChatCompletionFunctionToolCalls(toolCalls) {\n for (const toolCall of toolCalls || []) {\n if (toolCall.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool calls are supported; Received \\`${toolCall.type}\\``);\n }\n }\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\n//# sourceMappingURL=parser.mjs.map","export const isAssistantMessage = (message) => {\n return message?.role === 'assistant';\n};\nexport const isToolMessage = (message) => {\n return message?.role === 'tool';\n};\nexport function isPresent(obj) {\n return obj != null;\n}\n//# sourceMappingURL=chatCompletionUtils.mjs.map","var _EventStream_instances, _EventStream_connectedPromise, _EventStream_resolveConnectedPromise, _EventStream_rejectConnectedPromise, _EventStream_endPromise, _EventStream_resolveEndPromise, _EventStream_rejectEndPromise, _EventStream_listeners, _EventStream_ended, _EventStream_errored, _EventStream_aborted, _EventStream_catchingPromiseCreated, _EventStream_handleError;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nexport class EventStream {\n constructor() {\n _EventStream_instances.add(this);\n this.controller = new AbortController();\n _EventStream_connectedPromise.set(this, void 0);\n _EventStream_resolveConnectedPromise.set(this, () => { });\n _EventStream_rejectConnectedPromise.set(this, () => { });\n _EventStream_endPromise.set(this, void 0);\n _EventStream_resolveEndPromise.set(this, () => { });\n _EventStream_rejectEndPromise.set(this, () => { });\n _EventStream_listeners.set(this, {});\n _EventStream_ended.set(this, false);\n _EventStream_errored.set(this, false);\n _EventStream_aborted.set(this, false);\n _EventStream_catchingPromiseCreated.set(this, false);\n __classPrivateFieldSet(this, _EventStream_connectedPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveConnectedPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectConnectedPromise, reject, \"f\");\n }), \"f\");\n __classPrivateFieldSet(this, _EventStream_endPromise, new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_resolveEndPromise, resolve, \"f\");\n __classPrivateFieldSet(this, _EventStream_rejectEndPromise, reject, \"f\");\n }), \"f\");\n // Don't let these promises cause unhandled rejection errors.\n // we will manually cause an unhandled rejection error later\n // if the user hasn't registered any error listener or called\n // any promise-returning method.\n __classPrivateFieldGet(this, _EventStream_connectedPromise, \"f\").catch(() => { });\n __classPrivateFieldGet(this, _EventStream_endPromise, \"f\").catch(() => { });\n }\n _run(executor) {\n // Unfortunately if we call `executor()` immediately we get runtime errors about\n // references to `this` before the `super()` constructor call returns.\n setTimeout(() => {\n executor().then(() => {\n this._emitFinal();\n this._emit('end');\n }, __classPrivateFieldGet(this, _EventStream_instances, \"m\", _EventStream_handleError).bind(this));\n }, 0);\n }\n _connected() {\n if (this.ended)\n return;\n __classPrivateFieldGet(this, _EventStream_resolveConnectedPromise, \"f\").call(this);\n this._emit('connect');\n }\n get ended() {\n return __classPrivateFieldGet(this, _EventStream_ended, \"f\");\n }\n get errored() {\n return __classPrivateFieldGet(this, _EventStream_errored, \"f\");\n }\n get aborted() {\n return __classPrivateFieldGet(this, _EventStream_aborted, \"f\");\n }\n abort() {\n this.controller.abort();\n }\n /**\n * Adds the listener function to the end of the listeners array for the event.\n * No checks are made to see if the listener has already been added. Multiple calls passing\n * the same combination of event and listener will result in the listener being added, and\n * called, multiple times.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n on(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener });\n return this;\n }\n /**\n * Removes the specified listener from the listener array for the event.\n * off() will remove, at most, one instance of a listener from the listener array. If any single\n * listener has been added multiple times to the listener array for the specified event, then\n * off() must be called multiple times to remove each instance.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n off(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (!listeners)\n return this;\n const index = listeners.findIndex((l) => l.listener === listener);\n if (index >= 0)\n listeners.splice(index, 1);\n return this;\n }\n /**\n * Adds a one-time listener function for the event. The next time the event is triggered,\n * this listener is removed and then invoked.\n * @returns this ChatCompletionStream, so that calls can be chained\n */\n once(event, listener) {\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] || (__classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = []);\n listeners.push({ listener, once: true });\n return this;\n }\n /**\n * This is similar to `.once()`, but returns a Promise that resolves the next time\n * the event is triggered, instead of calling a listener callback.\n * @returns a Promise that resolves the next time given event is triggered,\n * or rejects if an error is emitted. (If you request the 'error' event,\n * returns a promise that resolves with the error).\n *\n * Example:\n *\n * const message = await stream.emitted('message') // rejects if the stream errors\n */\n emitted(event) {\n return new Promise((resolve, reject) => {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n if (event !== 'error')\n this.once('error', reject);\n this.once(event, resolve);\n });\n }\n async done() {\n __classPrivateFieldSet(this, _EventStream_catchingPromiseCreated, true, \"f\");\n await __classPrivateFieldGet(this, _EventStream_endPromise, \"f\");\n }\n _emit(event, ...args) {\n // make sure we don't emit any events after end\n if (__classPrivateFieldGet(this, _EventStream_ended, \"f\")) {\n return;\n }\n if (event === 'end') {\n __classPrivateFieldSet(this, _EventStream_ended, true, \"f\");\n __classPrivateFieldGet(this, _EventStream_resolveEndPromise, \"f\").call(this);\n }\n const listeners = __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event];\n if (listeners) {\n __classPrivateFieldGet(this, _EventStream_listeners, \"f\")[event] = listeners.filter((l) => !l.once);\n listeners.forEach(({ listener }) => listener(...args));\n }\n if (event === 'abort') {\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n return;\n }\n if (event === 'error') {\n // NOTE: _emit('error', error) should only be called from #handleError().\n const error = args[0];\n if (!__classPrivateFieldGet(this, _EventStream_catchingPromiseCreated, \"f\") && !listeners?.length) {\n // Trigger an unhandled rejection if the user hasn't registered any error handlers.\n // If you are seeing stack traces here, make sure to handle errors via either:\n // - runner.on('error', () => ...)\n // - await runner.done()\n // - await runner.finalChatCompletion()\n // - etc.\n Promise.reject(error);\n }\n __classPrivateFieldGet(this, _EventStream_rejectConnectedPromise, \"f\").call(this, error);\n __classPrivateFieldGet(this, _EventStream_rejectEndPromise, \"f\").call(this, error);\n this._emit('end');\n }\n }\n _emitFinal() { }\n}\n_EventStream_connectedPromise = new WeakMap(), _EventStream_resolveConnectedPromise = new WeakMap(), _EventStream_rejectConnectedPromise = new WeakMap(), _EventStream_endPromise = new WeakMap(), _EventStream_resolveEndPromise = new WeakMap(), _EventStream_rejectEndPromise = new WeakMap(), _EventStream_listeners = new WeakMap(), _EventStream_ended = new WeakMap(), _EventStream_errored = new WeakMap(), _EventStream_aborted = new WeakMap(), _EventStream_catchingPromiseCreated = new WeakMap(), _EventStream_instances = new WeakSet(), _EventStream_handleError = function _EventStream_handleError(error) {\n __classPrivateFieldSet(this, _EventStream_errored, true, \"f\");\n if (error instanceof Error && error.name === 'AbortError') {\n error = new APIUserAbortError();\n }\n if (error instanceof APIUserAbortError) {\n __classPrivateFieldSet(this, _EventStream_aborted, true, \"f\");\n return this._emit('abort', error);\n }\n if (error instanceof OpenAIError) {\n return this._emit('error', error);\n }\n if (error instanceof Error) {\n const openAIError = new OpenAIError(error.message);\n // @ts-ignore\n openAIError.cause = error;\n return this._emit('error', openAIError);\n }\n return this._emit('error', new OpenAIError(String(error)));\n};\n//# sourceMappingURL=EventStream.mjs.map","var _AbstractChatCompletionRunner_instances, _AbstractChatCompletionRunner_getFinalContent, _AbstractChatCompletionRunner_getFinalMessage, _AbstractChatCompletionRunner_getFinalFunctionToolCall, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult, _AbstractChatCompletionRunner_calculateTotalUsage, _AbstractChatCompletionRunner_validateParams, _AbstractChatCompletionRunner_stringifyFunctionCallResult;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableTool, parseChatCompletion } from \"../lib/parser.mjs\";\nimport { isAssistantMessage, isToolMessage } from \"./chatCompletionUtils.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isRunnableFunctionWithParse, } from \"./RunnableFunction.mjs\";\nconst DEFAULT_MAX_CHAT_COMPLETIONS = 10;\nexport class AbstractChatCompletionRunner extends EventStream {\n constructor() {\n super(...arguments);\n _AbstractChatCompletionRunner_instances.add(this);\n this._chatCompletions = [];\n this.messages = [];\n }\n _addChatCompletion(chatCompletion) {\n this._chatCompletions.push(chatCompletion);\n this._emit('chatCompletion', chatCompletion);\n const message = chatCompletion.choices[0]?.message;\n if (message)\n this._addMessage(message);\n return chatCompletion;\n }\n _addMessage(message, emit = true) {\n if (!('content' in message))\n message.content = null;\n this.messages.push(message);\n if (emit) {\n this._emit('message', message);\n if (isToolMessage(message) && message.content) {\n // Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function.\n this._emit('functionToolCallResult', message.content);\n }\n else if (isAssistantMessage(message) && message.tool_calls) {\n for (const tool_call of message.tool_calls) {\n if (tool_call.type === 'function') {\n this._emit('functionToolCall', tool_call.function);\n }\n }\n }\n }\n }\n /**\n * @returns a promise that resolves with the final ChatCompletion, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletion.\n */\n async finalChatCompletion() {\n await this.done();\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (!completion)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return completion;\n }\n /**\n * @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalContent() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n }\n /**\n * @returns a promise that resolves with the the final assistant ChatCompletionMessage response,\n * or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalMessage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n }\n /**\n * @returns a promise that resolves with the content of the final FunctionCall, or rejects\n * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.\n */\n async finalFunctionToolCall() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n }\n async finalFunctionToolCallResult() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n }\n async totalUsage() {\n await this.done();\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this);\n }\n allChatCompletions() {\n return [...this._chatCompletions];\n }\n _emitFinal() {\n const completion = this._chatCompletions[this._chatCompletions.length - 1];\n if (completion)\n this._emit('finalChatCompletion', completion);\n const finalMessage = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this);\n if (finalMessage)\n this._emit('finalMessage', finalMessage);\n const finalContent = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalContent).call(this);\n if (finalContent)\n this._emit('finalContent', finalContent);\n const finalFunctionCall = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);\n if (finalFunctionCall)\n this._emit('finalFunctionToolCall', finalFunctionCall);\n const finalFunctionCallResult = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);\n if (finalFunctionCallResult != null)\n this._emit('finalFunctionToolCallResult', finalFunctionCallResult);\n if (this._chatCompletions.some((c) => c.usage)) {\n this._emit('totalUsage', __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_calculateTotalUsage).call(this));\n }\n }\n async _createChatCompletion(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_validateParams).call(this, params);\n const chatCompletion = await client.chat.completions.create({ ...params, stream: false }, { ...options, signal: this.controller.signal });\n this._connected();\n return this._addChatCompletion(parseChatCompletion(chatCompletion, params));\n }\n async _runChatCompletion(client, params, options) {\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n return await this._createChatCompletion(client, params, options);\n }\n async _runTools(client, params, options) {\n const role = 'tool';\n const { tool_choice = 'auto', stream, ...restParams } = params;\n const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice.type === 'function' && tool_choice?.function?.name;\n const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {};\n // TODO(someday): clean this logic up\n const inputTools = params.tools.map((tool) => {\n if (isAutoParsableTool(tool)) {\n if (!tool.$callback) {\n throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function');\n }\n return {\n type: 'function',\n function: {\n function: tool.$callback,\n name: tool.function.name,\n description: tool.function.description || '',\n parameters: tool.function.parameters,\n parse: tool.$parseRaw,\n strict: true,\n },\n };\n }\n return tool;\n });\n const functionsByName = {};\n for (const f of inputTools) {\n if (f.type === 'function') {\n functionsByName[f.function.name || f.function.function.name] = f.function;\n }\n }\n const tools = 'tools' in params ?\n inputTools.map((t) => t.type === 'function' ?\n {\n type: 'function',\n function: {\n name: t.function.name || t.function.function.name,\n parameters: t.function.parameters,\n description: t.function.description,\n strict: t.function.strict,\n },\n }\n : t)\n : undefined;\n for (const message of params.messages) {\n this._addMessage(message, false);\n }\n for (let i = 0; i < maxChatCompletions; ++i) {\n const chatCompletion = await this._createChatCompletion(client, {\n ...restParams,\n tool_choice,\n tools,\n messages: [...this.messages],\n }, options);\n const message = chatCompletion.choices[0]?.message;\n if (!message) {\n throw new OpenAIError(`missing message in ChatCompletion response`);\n }\n if (!message.tool_calls?.length) {\n return;\n }\n for (const tool_call of message.tool_calls) {\n if (tool_call.type !== 'function')\n continue;\n const tool_call_id = tool_call.id;\n const { name, arguments: args } = tool_call.function;\n const fn = functionsByName[name];\n if (!fn) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys(functionsByName)\n .map((name) => JSON.stringify(name))\n .join(', ')}. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n else if (singleFunctionToCall && singleFunctionToCall !== name) {\n const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify(singleFunctionToCall)} requested. Please try again`;\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n let parsed;\n try {\n parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args;\n }\n catch (error) {\n const content = error instanceof Error ? error.message : String(error);\n this._addMessage({ role, tool_call_id, content });\n continue;\n }\n // @ts-expect-error it can't rule out `never` type.\n const rawContent = await fn.function(parsed, this);\n const content = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_stringifyFunctionCallResult).call(this, rawContent);\n this._addMessage({ role, tool_call_id, content });\n if (singleFunctionToCall) {\n return;\n }\n }\n }\n return;\n }\n}\n_AbstractChatCompletionRunner_instances = new WeakSet(), _AbstractChatCompletionRunner_getFinalContent = function _AbstractChatCompletionRunner_getFinalContent() {\n return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, \"m\", _AbstractChatCompletionRunner_getFinalMessage).call(this).content ?? null;\n}, _AbstractChatCompletionRunner_getFinalMessage = function _AbstractChatCompletionRunner_getFinalMessage() {\n let i = this.messages.length;\n while (i-- > 0) {\n const message = this.messages[i];\n if (isAssistantMessage(message)) {\n // TODO: support audio here\n const ret = {\n ...message,\n content: message.content ?? null,\n refusal: message.refusal ?? null,\n };\n return ret;\n }\n }\n throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant');\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCall = function _AbstractChatCompletionRunner_getFinalFunctionToolCall() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isAssistantMessage(message) && message?.tool_calls?.length) {\n return message.tool_calls.filter((x) => x.type === 'function').at(-1)?.function;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult = function _AbstractChatCompletionRunner_getFinalFunctionToolCallResult() {\n for (let i = this.messages.length - 1; i >= 0; i--) {\n const message = this.messages[i];\n if (isToolMessage(message) &&\n message.content != null &&\n typeof message.content === 'string' &&\n this.messages.some((x) => x.role === 'assistant' &&\n x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id))) {\n return message.content;\n }\n }\n return;\n}, _AbstractChatCompletionRunner_calculateTotalUsage = function _AbstractChatCompletionRunner_calculateTotalUsage() {\n const total = {\n completion_tokens: 0,\n prompt_tokens: 0,\n total_tokens: 0,\n };\n for (const { usage } of this._chatCompletions) {\n if (usage) {\n total.completion_tokens += usage.completion_tokens;\n total.prompt_tokens += usage.prompt_tokens;\n total.total_tokens += usage.total_tokens;\n }\n }\n return total;\n}, _AbstractChatCompletionRunner_validateParams = function _AbstractChatCompletionRunner_validateParams(params) {\n if (params.n != null && params.n > 1) {\n throw new OpenAIError('ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.');\n }\n}, _AbstractChatCompletionRunner_stringifyFunctionCallResult = function _AbstractChatCompletionRunner_stringifyFunctionCallResult(rawContent) {\n return (typeof rawContent === 'string' ? rawContent\n : rawContent === undefined ? 'undefined'\n : JSON.stringify(rawContent));\n};\n//# sourceMappingURL=AbstractChatCompletionRunner.mjs.map","export function isRunnableFunctionWithParse(fn) {\n return typeof fn.parse === 'function';\n}\n/**\n * This is helper class for passing a `function` and `parse` where the `function`\n * argument type matches the `parse` return type.\n */\nexport class ParsingToolFunction {\n constructor(input) {\n this.type = 'function';\n this.function = input;\n }\n}\n//# sourceMappingURL=RunnableFunction.mjs.map","import { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nimport { isAssistantMessage } from \"./chatCompletionUtils.mjs\";\nexport class ChatCompletionRunner extends AbstractChatCompletionRunner {\n static runTools(client, params, options) {\n const runner = new ChatCompletionRunner();\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n _addMessage(message, emit = true) {\n super._addMessage(message, emit);\n if (isAssistantMessage(message) && message.content) {\n this._emit('content', message.content);\n }\n }\n}\n//# sourceMappingURL=ChatCompletionRunner.mjs.map","const STR = 0b000000001;\nconst NUM = 0b000000010;\nconst ARR = 0b000000100;\nconst OBJ = 0b000001000;\nconst NULL = 0b000010000;\nconst BOOL = 0b000100000;\nconst NAN = 0b001000000;\nconst INFINITY = 0b010000000;\nconst MINUS_INFINITY = 0b100000000;\nconst INF = INFINITY | MINUS_INFINITY;\nconst SPECIAL = NULL | BOOL | INF | NAN;\nconst ATOM = STR | NUM | SPECIAL;\nconst COLLECTION = ARR | OBJ;\nconst ALL = ATOM | COLLECTION;\nconst Allow = {\n STR,\n NUM,\n ARR,\n OBJ,\n NULL,\n BOOL,\n NAN,\n INFINITY,\n MINUS_INFINITY,\n INF,\n SPECIAL,\n ATOM,\n COLLECTION,\n ALL,\n};\n// The JSON string segment was unable to be parsed completely\nclass PartialJSON extends Error {\n}\nclass MalformedJSON extends Error {\n}\n/**\n * Parse incomplete JSON\n * @param {string} jsonString Partial JSON to be parsed\n * @param {number} allowPartial Specify what types are allowed to be partial, see {@link Allow} for details\n * @returns The parsed JSON\n * @throws {PartialJSON} If the JSON is incomplete (related to the `allow` parameter)\n * @throws {MalformedJSON} If the JSON is malformed\n */\nfunction parseJSON(jsonString, allowPartial = Allow.ALL) {\n if (typeof jsonString !== 'string') {\n throw new TypeError(`expecting str, got ${typeof jsonString}`);\n }\n if (!jsonString.trim()) {\n throw new Error(`${jsonString} is empty`);\n }\n return _parseJSON(jsonString.trim(), allowPartial);\n}\nconst _parseJSON = (jsonString, allow) => {\n const length = jsonString.length;\n let index = 0;\n const markPartialJSON = (msg) => {\n throw new PartialJSON(`${msg} at position ${index}`);\n };\n const throwMalformedError = (msg) => {\n throw new MalformedJSON(`${msg} at position ${index}`);\n };\n const parseAny = () => {\n skipBlank();\n if (index >= length)\n markPartialJSON('Unexpected end of input');\n if (jsonString[index] === '\"')\n return parseStr();\n if (jsonString[index] === '{')\n return parseObj();\n if (jsonString[index] === '[')\n return parseArr();\n if (jsonString.substring(index, index + 4) === 'null' ||\n (Allow.NULL & allow && length - index < 4 && 'null'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return null;\n }\n if (jsonString.substring(index, index + 4) === 'true' ||\n (Allow.BOOL & allow && length - index < 4 && 'true'.startsWith(jsonString.substring(index)))) {\n index += 4;\n return true;\n }\n if (jsonString.substring(index, index + 5) === 'false' ||\n (Allow.BOOL & allow && length - index < 5 && 'false'.startsWith(jsonString.substring(index)))) {\n index += 5;\n return false;\n }\n if (jsonString.substring(index, index + 8) === 'Infinity' ||\n (Allow.INFINITY & allow && length - index < 8 && 'Infinity'.startsWith(jsonString.substring(index)))) {\n index += 8;\n return Infinity;\n }\n if (jsonString.substring(index, index + 9) === '-Infinity' ||\n (Allow.MINUS_INFINITY & allow &&\n 1 < length - index &&\n length - index < 9 &&\n '-Infinity'.startsWith(jsonString.substring(index)))) {\n index += 9;\n return -Infinity;\n }\n if (jsonString.substring(index, index + 3) === 'NaN' ||\n (Allow.NAN & allow && length - index < 3 && 'NaN'.startsWith(jsonString.substring(index)))) {\n index += 3;\n return NaN;\n }\n return parseNum();\n };\n const parseStr = () => {\n const start = index;\n let escape = false;\n index++; // skip initial quote\n while (index < length && (jsonString[index] !== '\"' || (escape && jsonString[index - 1] === '\\\\'))) {\n escape = jsonString[index] === '\\\\' ? !escape : false;\n index++;\n }\n if (jsonString.charAt(index) == '\"') {\n try {\n return JSON.parse(jsonString.substring(start, ++index - Number(escape)));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n else if (Allow.STR & allow) {\n try {\n return JSON.parse(jsonString.substring(start, index - Number(escape)) + '\"');\n }\n catch (e) {\n // SyntaxError: Invalid escape sequence\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('\\\\')) + '\"');\n }\n }\n markPartialJSON('Unterminated string literal');\n };\n const parseObj = () => {\n index++; // skip initial brace\n skipBlank();\n const obj = {};\n try {\n while (jsonString[index] !== '}') {\n skipBlank();\n if (index >= length && Allow.OBJ & allow)\n return obj;\n const key = parseStr();\n skipBlank();\n index++; // skip colon\n try {\n const value = parseAny();\n Object.defineProperty(obj, key, { value, writable: true, enumerable: true, configurable: true });\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n throw e;\n }\n skipBlank();\n if (jsonString[index] === ',')\n index++; // skip comma\n }\n }\n catch (e) {\n if (Allow.OBJ & allow)\n return obj;\n else\n markPartialJSON(\"Expected '}' at end of object\");\n }\n index++; // skip final brace\n return obj;\n };\n const parseArr = () => {\n index++; // skip initial bracket\n const arr = [];\n try {\n while (jsonString[index] !== ']') {\n arr.push(parseAny());\n skipBlank();\n if (jsonString[index] === ',') {\n index++; // skip comma\n }\n }\n }\n catch (e) {\n if (Allow.ARR & allow) {\n return arr;\n }\n markPartialJSON(\"Expected ']' at end of array\");\n }\n index++; // skip final bracket\n return arr;\n };\n const parseNum = () => {\n if (index === 0) {\n if (jsonString === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString);\n }\n catch (e) {\n if (Allow.NUM & allow) {\n try {\n if ('.' === jsonString[jsonString.length - 1])\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('.')));\n return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('e')));\n }\n catch (e) { }\n }\n throwMalformedError(String(e));\n }\n }\n const start = index;\n if (jsonString[index] === '-')\n index++;\n while (jsonString[index] && !',]}'.includes(jsonString[index]))\n index++;\n if (index == length && !(Allow.NUM & allow))\n markPartialJSON('Unterminated number literal');\n try {\n return JSON.parse(jsonString.substring(start, index));\n }\n catch (e) {\n if (jsonString.substring(start, index) === '-' && Allow.NUM & allow)\n markPartialJSON(\"Not sure what '-' is\");\n try {\n return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('e')));\n }\n catch (e) {\n throwMalformedError(String(e));\n }\n }\n };\n const skipBlank = () => {\n while (index < length && ' \\n\\r\\t'.includes(jsonString[index])) {\n index++;\n }\n };\n return parseAny();\n};\n// using this function with malformed JSON is undefined behavior\nconst partialParse = (input) => parseJSON(input, Allow.ALL ^ Allow.NUM);\nexport { partialParse, PartialJSON, MalformedJSON };\n//# sourceMappingURL=parser.mjs.map","var _ChatCompletionStream_instances, _ChatCompletionStream_params, _ChatCompletionStream_choiceEventStates, _ChatCompletionStream_currentChatCompletionSnapshot, _ChatCompletionStream_beginRequest, _ChatCompletionStream_getChoiceEventState, _ChatCompletionStream_addChunk, _ChatCompletionStream_emitToolCallDoneEvent, _ChatCompletionStream_emitContentDoneEvents, _ChatCompletionStream_endRequest, _ChatCompletionStream_getAutoParseableResponseFormat, _ChatCompletionStream_accumulateChatCompletion;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { partialParse } from \"../_vendor/partial-json-parser/parser.mjs\";\nimport { APIUserAbortError, ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError, } from \"../error.mjs\";\nimport { hasAutoParseableInput, isAutoParsableResponseFormat, isAutoParsableTool, isChatCompletionFunctionTool, maybeParseChatCompletion, shouldParseToolCall, } from \"../lib/parser.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { AbstractChatCompletionRunner, } from \"./AbstractChatCompletionRunner.mjs\";\nexport class ChatCompletionStream extends AbstractChatCompletionRunner {\n constructor(params) {\n super();\n _ChatCompletionStream_instances.add(this);\n _ChatCompletionStream_params.set(this, void 0);\n _ChatCompletionStream_choiceEventStates.set(this, void 0);\n _ChatCompletionStream_currentChatCompletionSnapshot.set(this, void 0);\n __classPrivateFieldSet(this, _ChatCompletionStream_params, params, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n }\n get currentChatCompletionSnapshot() {\n return __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n }\n /**\n * Intended for use on the frontend, consuming a stream produced with\n * `.toReadableStream()` on the backend.\n *\n * Note that messages sent to the model do not appear in `.on('message')`\n * in this context.\n */\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStream(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static createChatCompletion(client, params, options) {\n const runner = new ChatCompletionStream(params);\n runner._run(() => runner._runChatCompletion(client, { ...params, stream: true }, { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }));\n return runner;\n }\n async _createChatCompletion(client, params, options) {\n super._createChatCompletion;\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n const stream = await client.chat.completions.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const chunk of stream) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_beginRequest).call(this);\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n let chatId;\n for await (const chunk of stream) {\n if (chatId && chatId !== chunk.id) {\n // A new request has been made.\n this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_addChunk).call(this, chunk);\n chatId = chunk.id;\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_endRequest).call(this));\n }\n [(_ChatCompletionStream_params = new WeakMap(), _ChatCompletionStream_choiceEventStates = new WeakMap(), _ChatCompletionStream_currentChatCompletionSnapshot = new WeakMap(), _ChatCompletionStream_instances = new WeakSet(), _ChatCompletionStream_beginRequest = function _ChatCompletionStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n }, _ChatCompletionStream_getChoiceEventState = function _ChatCompletionStream_getChoiceEventState(choice) {\n let state = __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index];\n if (state) {\n return state;\n }\n state = {\n content_done: false,\n refusal_done: false,\n logprobs_content_done: false,\n logprobs_refusal_done: false,\n done_tool_calls: new Set(),\n current_tool_call_index: null,\n };\n __classPrivateFieldGet(this, _ChatCompletionStream_choiceEventStates, \"f\")[choice.index] = state;\n return state;\n }, _ChatCompletionStream_addChunk = function _ChatCompletionStream_addChunk(chunk) {\n if (this.ended)\n return;\n const completion = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_accumulateChatCompletion).call(this, chunk);\n this._emit('chunk', chunk, completion);\n for (const choice of chunk.choices) {\n const choiceSnapshot = completion.choices[choice.index];\n if (choice.delta.content != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.content) {\n this._emit('content', choice.delta.content, choiceSnapshot.message.content);\n this._emit('content.delta', {\n delta: choice.delta.content,\n snapshot: choiceSnapshot.message.content,\n parsed: choiceSnapshot.message.parsed,\n });\n }\n if (choice.delta.refusal != null &&\n choiceSnapshot.message?.role === 'assistant' &&\n choiceSnapshot.message?.refusal) {\n this._emit('refusal.delta', {\n delta: choice.delta.refusal,\n snapshot: choiceSnapshot.message.refusal,\n });\n }\n if (choice.logprobs?.content != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.content.delta', {\n content: choice.logprobs?.content,\n snapshot: choiceSnapshot.logprobs?.content ?? [],\n });\n }\n if (choice.logprobs?.refusal != null && choiceSnapshot.message?.role === 'assistant') {\n this._emit('logprobs.refusal.delta', {\n refusal: choice.logprobs?.refusal,\n snapshot: choiceSnapshot.logprobs?.refusal ?? [],\n });\n }\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.finish_reason) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n for (const toolCall of choice.delta.tool_calls ?? []) {\n if (state.current_tool_call_index !== toolCall.index) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitContentDoneEvents).call(this, choiceSnapshot);\n // new tool call started, the previous one is done\n if (state.current_tool_call_index != null) {\n __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_emitToolCallDoneEvent).call(this, choiceSnapshot, state.current_tool_call_index);\n }\n }\n state.current_tool_call_index = toolCall.index;\n }\n for (const toolCallDelta of choice.delta.tool_calls ?? []) {\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallDelta.index];\n if (!toolCallSnapshot?.type) {\n continue;\n }\n if (toolCallSnapshot?.type === 'function') {\n this._emit('tool_calls.function.arguments.delta', {\n name: toolCallSnapshot.function?.name,\n index: toolCallDelta.index,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: toolCallSnapshot.function.parsed_arguments,\n arguments_delta: toolCallDelta.function?.arguments ?? '',\n });\n }\n else {\n assertNever(toolCallSnapshot?.type);\n }\n }\n }\n }, _ChatCompletionStream_emitToolCallDoneEvent = function _ChatCompletionStream_emitToolCallDoneEvent(choiceSnapshot, toolCallIndex) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (state.done_tool_calls.has(toolCallIndex)) {\n // we've already fired the done event\n return;\n }\n const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallIndex];\n if (!toolCallSnapshot) {\n throw new Error('no tool call snapshot');\n }\n if (!toolCallSnapshot.type) {\n throw new Error('tool call snapshot missing `type`');\n }\n if (toolCallSnapshot.type === 'function') {\n const inputTool = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.tools?.find((tool) => isChatCompletionFunctionTool(tool) && tool.function.name === toolCallSnapshot.function.name); // TS doesn't narrow based on isChatCompletionTool\n this._emit('tool_calls.function.arguments.done', {\n name: toolCallSnapshot.function.name,\n index: toolCallIndex,\n arguments: toolCallSnapshot.function.arguments,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCallSnapshot.function.arguments)\n : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments)\n : null,\n });\n }\n else {\n assertNever(toolCallSnapshot.type);\n }\n }, _ChatCompletionStream_emitContentDoneEvents = function _ChatCompletionStream_emitContentDoneEvents(choiceSnapshot) {\n const state = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getChoiceEventState).call(this, choiceSnapshot);\n if (choiceSnapshot.message.content && !state.content_done) {\n state.content_done = true;\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this);\n this._emit('content.done', {\n content: choiceSnapshot.message.content,\n parsed: responseFormat ? responseFormat.$parseRaw(choiceSnapshot.message.content) : null,\n });\n }\n if (choiceSnapshot.message.refusal && !state.refusal_done) {\n state.refusal_done = true;\n this._emit('refusal.done', { refusal: choiceSnapshot.message.refusal });\n }\n if (choiceSnapshot.logprobs?.content && !state.logprobs_content_done) {\n state.logprobs_content_done = true;\n this._emit('logprobs.content.done', { content: choiceSnapshot.logprobs.content });\n }\n if (choiceSnapshot.logprobs?.refusal && !state.logprobs_refusal_done) {\n state.logprobs_refusal_done = true;\n this._emit('logprobs.refusal.done', { refusal: choiceSnapshot.logprobs.refusal });\n }\n }, _ChatCompletionStream_endRequest = function _ChatCompletionStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any chunks`);\n }\n __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, \"f\");\n __classPrivateFieldSet(this, _ChatCompletionStream_choiceEventStates, [], \"f\");\n return finalizeChatCompletion(snapshot, __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"));\n }, _ChatCompletionStream_getAutoParseableResponseFormat = function _ChatCompletionStream_getAutoParseableResponseFormat() {\n const responseFormat = __classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\")?.response_format;\n if (isAutoParsableResponseFormat(responseFormat)) {\n return responseFormat;\n }\n return null;\n }, _ChatCompletionStream_accumulateChatCompletion = function _ChatCompletionStream_accumulateChatCompletion(chunk) {\n var _a, _b, _c, _d;\n let snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, \"f\");\n const { choices, ...rest } = chunk;\n if (!snapshot) {\n snapshot = __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, {\n ...rest,\n choices: [],\n }, \"f\");\n }\n else {\n Object.assign(snapshot, rest);\n }\n for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) {\n let choice = snapshot.choices[index];\n if (!choice) {\n choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other };\n }\n if (logprobs) {\n if (!choice.logprobs) {\n choice.logprobs = Object.assign({}, logprobs);\n }\n else {\n const { content, refusal, ...rest } = logprobs;\n assertIsEmpty(rest);\n Object.assign(choice.logprobs, rest);\n if (content) {\n (_a = choice.logprobs).content ?? (_a.content = []);\n choice.logprobs.content.push(...content);\n }\n if (refusal) {\n (_b = choice.logprobs).refusal ?? (_b.refusal = []);\n choice.logprobs.refusal.push(...refusal);\n }\n }\n }\n if (finish_reason) {\n choice.finish_reason = finish_reason;\n if (__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\") && hasAutoParseableInput(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"))) {\n if (finish_reason === 'length') {\n throw new LengthFinishReasonError();\n }\n if (finish_reason === 'content_filter') {\n throw new ContentFilterFinishReasonError();\n }\n }\n }\n Object.assign(choice, other);\n if (!delta)\n continue; // Shouldn't happen; just in case.\n const { content, refusal, function_call, role, tool_calls, ...rest } = delta;\n assertIsEmpty(rest);\n Object.assign(choice.message, rest);\n if (refusal) {\n choice.message.refusal = (choice.message.refusal || '') + refusal;\n }\n if (role)\n choice.message.role = role;\n if (function_call) {\n if (!choice.message.function_call) {\n choice.message.function_call = function_call;\n }\n else {\n if (function_call.name)\n choice.message.function_call.name = function_call.name;\n if (function_call.arguments) {\n (_c = choice.message.function_call).arguments ?? (_c.arguments = '');\n choice.message.function_call.arguments += function_call.arguments;\n }\n }\n }\n if (content) {\n choice.message.content = (choice.message.content || '') + content;\n if (!choice.message.refusal && __classPrivateFieldGet(this, _ChatCompletionStream_instances, \"m\", _ChatCompletionStream_getAutoParseableResponseFormat).call(this)) {\n choice.message.parsed = partialParse(choice.message.content);\n }\n }\n if (tool_calls) {\n if (!choice.message.tool_calls)\n choice.message.tool_calls = [];\n for (const { index, id, type, function: fn, ...rest } of tool_calls) {\n const tool_call = ((_d = choice.message.tool_calls)[index] ?? (_d[index] = {}));\n Object.assign(tool_call, rest);\n if (id)\n tool_call.id = id;\n if (type)\n tool_call.type = type;\n if (fn)\n tool_call.function ?? (tool_call.function = { name: fn.name ?? '', arguments: '' });\n if (fn?.name)\n tool_call.function.name = fn.name;\n if (fn?.arguments) {\n tool_call.function.arguments += fn.arguments;\n if (shouldParseToolCall(__classPrivateFieldGet(this, _ChatCompletionStream_params, \"f\"), tool_call)) {\n tool_call.function.parsed_arguments = partialParse(tool_call.function.arguments);\n }\n }\n }\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('chunk', (chunk) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(chunk);\n }\n else {\n pushQueue.push(chunk);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n}\nfunction finalizeChatCompletion(snapshot, params) {\n const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;\n const completion = {\n ...rest,\n id,\n choices: choices.map(({ message, finish_reason, index, logprobs, ...choiceRest }) => {\n if (!finish_reason) {\n throw new OpenAIError(`missing finish_reason for choice ${index}`);\n }\n const { content = null, function_call, tool_calls, ...messageRest } = message;\n const role = message.role; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine.\n if (!role) {\n throw new OpenAIError(`missing role for choice ${index}`);\n }\n if (function_call) {\n const { arguments: args, name } = function_call;\n if (args == null) {\n throw new OpenAIError(`missing function_call.arguments for choice ${index}`);\n }\n if (!name) {\n throw new OpenAIError(`missing function_call.name for choice ${index}`);\n }\n return {\n ...choiceRest,\n message: {\n content,\n function_call: { arguments: args, name },\n role,\n refusal: message.refusal ?? null,\n },\n finish_reason,\n index,\n logprobs,\n };\n }\n if (tool_calls) {\n return {\n ...choiceRest,\n index,\n finish_reason,\n logprobs,\n message: {\n ...messageRest,\n role,\n content,\n refusal: message.refusal ?? null,\n tool_calls: tool_calls.map((tool_call, i) => {\n const { function: fn, type, id, ...toolRest } = tool_call;\n const { arguments: args, name, ...fnRest } = fn || {};\n if (id == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\\n${str(snapshot)}`);\n }\n if (type == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\\n${str(snapshot)}`);\n }\n if (name == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.name\\n${str(snapshot)}`);\n }\n if (args == null) {\n throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.arguments\\n${str(snapshot)}`);\n }\n return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } };\n }),\n },\n };\n }\n return {\n ...choiceRest,\n message: { ...messageRest, content, role, refusal: message.refusal ?? null },\n finish_reason,\n index,\n logprobs,\n };\n }),\n created,\n model,\n object: 'chat.completion',\n ...(system_fingerprint ? { system_fingerprint } : {}),\n };\n return maybeParseChatCompletion(completion, params);\n}\nfunction str(x) {\n return JSON.stringify(x);\n}\n/**\n * Ensures the given argument is an empty object, useful for\n * asserting that all known properties on an object have been\n * destructured.\n */\nfunction assertIsEmpty(obj) {\n return;\n}\nfunction assertNever(_x) { }\n//# sourceMappingURL=ChatCompletionStream.mjs.map","import { ChatCompletionStream } from \"./ChatCompletionStream.mjs\";\nexport class ChatCompletionStreamingRunner extends ChatCompletionStream {\n static fromReadableStream(stream) {\n const runner = new ChatCompletionStreamingRunner(null);\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n static runTools(client, params, options) {\n const runner = new ChatCompletionStreamingRunner(\n // @ts-expect-error TODO these types are incompatible\n params);\n const opts = {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },\n };\n runner._run(() => runner._runTools(client, params, opts));\n return runner;\n }\n}\n//# sourceMappingURL=ChatCompletionStreamingRunner.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages } from \"./messages.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nimport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nimport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nimport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nimport { parseChatCompletion, validateInputTools } from \"../../../lib/parser.mjs\";\nexport class Completions extends APIResource {\n constructor() {\n super(...arguments);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n create(body, options) {\n return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false });\n }\n /**\n * Get a stored chat completion. Only Chat Completions that have been created with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * const chatCompletion =\n * await client.chat.completions.retrieve('completion_id');\n * ```\n */\n retrieve(completionID, options) {\n return this._client.get(path `/chat/completions/${completionID}`, options);\n }\n /**\n * Modify a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be modified. Currently, the only\n * supported modification is to update the `metadata` field.\n *\n * @example\n * ```ts\n * const chatCompletion = await client.chat.completions.update(\n * 'completion_id',\n * { metadata: { foo: 'string' } },\n * );\n * ```\n */\n update(completionID, body, options) {\n return this._client.post(path `/chat/completions/${completionID}`, { body, ...options });\n }\n /**\n * List stored Chat Completions. Only Chat Completions that have been stored with\n * the `store` parameter set to `true` will be returned.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const chatCompletion of client.chat.completions.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/chat/completions', (CursorPage), { query, ...options });\n }\n /**\n * Delete a stored chat completion. Only Chat Completions that have been created\n * with the `store` parameter set to `true` can be deleted.\n *\n * @example\n * ```ts\n * const chatCompletionDeleted =\n * await client.chat.completions.delete('completion_id');\n * ```\n */\n delete(completionID, options) {\n return this._client.delete(path `/chat/completions/${completionID}`, options);\n }\n parse(body, options) {\n validateInputTools(body.tools);\n return this._client.chat.completions\n .create(body, {\n ...options,\n headers: {\n ...options?.headers,\n 'X-Stainless-Helper-Method': 'chat.completions.parse',\n },\n })\n ._thenUnwrap((completion) => parseChatCompletion(completion, body));\n }\n runTools(body, options) {\n if (body.stream) {\n return ChatCompletionStreamingRunner.runTools(this._client, body, options);\n }\n return ChatCompletionRunner.runTools(this._client, body, options);\n }\n /**\n * Creates a chat completion stream\n */\n stream(body, options) {\n return ChatCompletionStream.createChatCompletion(this._client, body, options);\n }\n}\nexport { ChatCompletionStreamingRunner } from \"../../../lib/ChatCompletionStreamingRunner.mjs\";\nexport { ParsingToolFunction, } from \"../../../lib/RunnableFunction.mjs\";\nexport { ChatCompletionStream } from \"../../../lib/ChatCompletionStream.mjs\";\nexport { ChatCompletionRunner } from \"../../../lib/ChatCompletionRunner.mjs\";\nCompletions.Messages = Messages;\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as CompletionsAPI from \"./completions/completions.mjs\";\nimport { Completions, } from \"./completions/completions.mjs\";\nexport class Chat extends APIResource {\n constructor() {\n super(...arguments);\n this.completions = new CompletionsAPI.Completions(this._client);\n }\n}\nChat.Completions = Completions;\n//# sourceMappingURL=chat.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { isReadonlyArray } from \"./utils/values.mjs\";\nconst brand_privateNullableHeaders = /* @__PURE__ */ Symbol('brand.privateNullableHeaders');\nfunction* iterateHeaders(headers) {\n if (!headers)\n return;\n if (brand_privateNullableHeaders in headers) {\n const { values, nulls } = headers;\n yield* values.entries();\n for (const name of nulls) {\n yield [name, null];\n }\n return;\n }\n let shouldClear = false;\n let iter;\n if (headers instanceof Headers) {\n iter = headers.entries();\n }\n else if (isReadonlyArray(headers)) {\n iter = headers;\n }\n else {\n shouldClear = true;\n iter = Object.entries(headers ?? {});\n }\n for (let row of iter) {\n const name = row[0];\n if (typeof name !== 'string')\n throw new TypeError('expected header name to be a string');\n const values = isReadonlyArray(row[1]) ? row[1] : [row[1]];\n let didClear = false;\n for (const value of values) {\n if (value === undefined)\n continue;\n // Objects keys always overwrite older headers, they never append.\n // Yield a null to clear the header before adding the new values.\n if (shouldClear && !didClear) {\n didClear = true;\n yield [name, null];\n }\n yield [name, value];\n }\n }\n}\nexport const buildHeaders = (newHeaders) => {\n const targetHeaders = new Headers();\n const nullHeaders = new Set();\n for (const headers of newHeaders) {\n const seenHeaders = new Set();\n for (const [name, value] of iterateHeaders(headers)) {\n const lowerName = name.toLowerCase();\n if (!seenHeaders.has(lowerName)) {\n targetHeaders.delete(name);\n seenHeaders.add(lowerName);\n }\n if (value === null) {\n targetHeaders.delete(name);\n nullHeaders.add(lowerName);\n }\n else {\n targetHeaders.append(name, value);\n nullHeaders.delete(lowerName);\n }\n }\n }\n return { [brand_privateNullableHeaders]: true, values: targetHeaders, nulls: nullHeaders };\n};\nexport const isEmptyHeaders = (headers) => {\n for (const _ of iterateHeaders(headers))\n return false;\n return true;\n};\n//# sourceMappingURL=headers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nexport class Speech extends APIResource {\n /**\n * Generates audio from the input text.\n *\n * @example\n * ```ts\n * const speech = await client.audio.speech.create({\n * input: 'input',\n * model: 'string',\n * voice: 'ash',\n * });\n *\n * const content = await speech.blob();\n * console.log(content);\n * ```\n */\n create(body, options) {\n return this._client.post('/audio/speech', {\n body,\n ...options,\n headers: buildHeaders([{ Accept: 'application/octet-stream' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=speech.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Transcriptions extends APIResource {\n create(body, options) {\n return this._client.post('/audio/transcriptions', multipartFormRequestOptions({\n body,\n ...options,\n stream: body.stream ?? false,\n __metadata: { model: body.model },\n }, this._client));\n }\n}\n//# sourceMappingURL=transcriptions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nexport class Translations extends APIResource {\n create(body, options) {\n return this._client.post('/audio/translations', multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }, this._client));\n }\n}\n//# sourceMappingURL=translations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as SpeechAPI from \"./speech.mjs\";\nimport { Speech } from \"./speech.mjs\";\nimport * as TranscriptionsAPI from \"./transcriptions.mjs\";\nimport { Transcriptions, } from \"./transcriptions.mjs\";\nimport * as TranslationsAPI from \"./translations.mjs\";\nimport { Translations, } from \"./translations.mjs\";\nexport class Audio extends APIResource {\n constructor() {\n super(...arguments);\n this.transcriptions = new TranscriptionsAPI.Transcriptions(this._client);\n this.translations = new TranslationsAPI.Translations(this._client);\n this.speech = new SpeechAPI.Speech(this._client);\n }\n}\nAudio.Transcriptions = Transcriptions;\nAudio.Translations = Translations;\nAudio.Speech = Speech;\n//# sourceMappingURL=audio.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Batches extends APIResource {\n /**\n * Creates and executes a batch from an uploaded file of requests\n */\n create(body, options) {\n return this._client.post('/batches', { body, ...options });\n }\n /**\n * Retrieves a batch.\n */\n retrieve(batchID, options) {\n return this._client.get(path `/batches/${batchID}`, options);\n }\n /**\n * List your organization's batches.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/batches', (CursorPage), { query, ...options });\n }\n /**\n * Cancels an in-progress batch. The batch will be in status `cancelling` for up to\n * 10 minutes, before changing to `cancelled`, where it will have partial results\n * (if any) available in the output file.\n */\n cancel(batchID, options) {\n return this._client.post(path `/batches/${batchID}/cancel`, options);\n }\n}\n//# sourceMappingURL=batches.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Assistants extends APIResource {\n /**\n * Create an assistant with a model and instructions.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.create({\n * model: 'gpt-4o',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/assistants', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.retrieve(\n * 'assistant_id',\n * );\n * ```\n */\n retrieve(assistantID, options) {\n return this._client.get(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies an assistant.\n *\n * @example\n * ```ts\n * const assistant = await client.beta.assistants.update(\n * 'assistant_id',\n * );\n * ```\n */\n update(assistantID, body, options) {\n return this._client.post(path `/assistants/${assistantID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of assistants.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const assistant of client.beta.assistants.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/assistants', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete an assistant.\n *\n * @example\n * ```ts\n * const assistantDeleted =\n * await client.beta.assistants.delete('assistant_id');\n * ```\n */\n delete(assistantID, options) {\n return this._client.delete(path `/assistants/${assistantID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=assistants.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class Sessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API. Can be configured with the same session parameters as the\n * `session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const session =\n * await client.beta.realtime.sessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nexport class TranscriptionSessions extends APIResource {\n /**\n * Create an ephemeral API token for use in client-side applications with the\n * Realtime API specifically for realtime transcriptions. Can be configured with\n * the same session parameters as the `transcription_session.update` client event.\n *\n * It responds with a session object, plus a `client_secret` key which contains a\n * usable ephemeral API token that can be used to authenticate browser clients for\n * the Realtime API.\n *\n * @example\n * ```ts\n * const transcriptionSession =\n * await client.beta.realtime.transcriptionSessions.create();\n * ```\n */\n create(body, options) {\n return this._client.post('/realtime/transcription_sessions', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=transcription-sessions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as SessionsAPI from \"./sessions.mjs\";\nimport { Sessions, } from \"./sessions.mjs\";\nimport * as TranscriptionSessionsAPI from \"./transcription-sessions.mjs\";\nimport { TranscriptionSessions, } from \"./transcription-sessions.mjs\";\n/**\n * @deprecated Realtime has now launched and is generally available. The old beta API is now deprecated.\n */\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.sessions = new SessionsAPI.Sessions(this._client);\n this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);\n }\n}\nRealtime.Sessions = Sessions;\nRealtime.TranscriptionSessions = TranscriptionSessions;\n//# sourceMappingURL=realtime.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Messages extends APIResource {\n /**\n * Create a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}/messages`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieve a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(messageID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(messageID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/messages/${messageID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of messages for a given thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/messages`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Deletes a message.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(messageID, params, options) {\n const { thread_id } = params;\n return this._client.delete(path `/threads/${thread_id}/messages/${messageID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=messages.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Steps extends APIResource {\n /**\n * Retrieves a run step.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(stepID, params, options) {\n const { thread_id, run_id, ...query } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${run_id}/steps/${stepID}`, {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of run steps belonging to a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(runID, params, options) {\n const { thread_id, ...query } = params;\n return this._client.getAPIList(path `/threads/${thread_id}/runs/${runID}/steps`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\n//# sourceMappingURL=steps.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { OpenAIError } from \"../../core/error.mjs\";\nimport { encodeUTF8 } from \"./bytes.mjs\";\nexport const toBase64 = (data) => {\n if (!data)\n return '';\n if (typeof globalThis.Buffer !== 'undefined') {\n return globalThis.Buffer.from(data).toString('base64');\n }\n if (typeof data === 'string') {\n data = encodeUTF8(data);\n }\n if (typeof btoa !== 'undefined') {\n return btoa(String.fromCharCode.apply(null, data));\n }\n throw new OpenAIError('Cannot generate base64 string; Expected `Buffer` or `btoa` to be defined');\n};\nexport const fromBase64 = (str) => {\n if (typeof globalThis.Buffer !== 'undefined') {\n const buf = globalThis.Buffer.from(str, 'base64');\n return new Uint8Array(buf.buffer, buf.byteOffset, buf.byteLength);\n }\n if (typeof atob !== 'undefined') {\n const bstr = atob(str);\n const buf = new Uint8Array(bstr.length);\n for (let i = 0; i < bstr.length; i++) {\n buf[i] = bstr.charCodeAt(i);\n }\n return buf;\n }\n throw new OpenAIError('Cannot decode base64 string; Expected `Buffer` or `atob` to be defined');\n};\n/**\n * Converts a Base64 encoded string to a Float32Array.\n * @param base64Str - The Base64 encoded string.\n * @returns An Array of numbers interpreted as Float32 values.\n */\nexport const toFloat32Array = (base64Str) => {\n if (typeof Buffer !== 'undefined') {\n // for Node.js environment\n const buf = Buffer.from(base64Str, 'base64');\n return Array.from(new Float32Array(buf.buffer, buf.byteOffset, buf.length / Float32Array.BYTES_PER_ELEMENT));\n }\n else {\n // for legacy web platform APIs\n const binaryStr = atob(base64Str);\n const len = binaryStr.length;\n const bytes = new Uint8Array(len);\n for (let i = 0; i < len; i++) {\n bytes[i] = binaryStr.charCodeAt(i);\n }\n return Array.from(new Float32Array(bytes.buffer));\n }\n};\n//# sourceMappingURL=base64.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\n/**\n * Read an environment variable.\n *\n * Trims beginning and trailing whitespace.\n *\n * Will return undefined if the environment variable doesn't exist or cannot be accessed.\n */\nexport const readEnv = (env) => {\n if (typeof globalThis.process !== 'undefined') {\n return globalThis.process.env?.[env]?.trim() ?? undefined;\n }\n if (typeof globalThis.Deno !== 'undefined') {\n return globalThis.Deno.env?.get?.(env)?.trim();\n }\n return undefined;\n};\n//# sourceMappingURL=env.mjs.map","var _AssistantStream_instances, _a, _AssistantStream_events, _AssistantStream_runStepSnapshots, _AssistantStream_messageSnapshots, _AssistantStream_messageSnapshot, _AssistantStream_finalRun, _AssistantStream_currentContentIndex, _AssistantStream_currentContent, _AssistantStream_currentToolCallIndex, _AssistantStream_currentToolCall, _AssistantStream_currentEvent, _AssistantStream_currentRunSnapshot, _AssistantStream_currentRunStepSnapshot, _AssistantStream_addEvent, _AssistantStream_endRequest, _AssistantStream_handleMessage, _AssistantStream_handleRunStep, _AssistantStream_handleEvent, _AssistantStream_accumulateRunStep, _AssistantStream_accumulateMessage, _AssistantStream_accumulateContent, _AssistantStream_handleRun;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../internal/tslib.mjs\";\nimport { Stream } from \"../streaming.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../error.mjs\";\nimport { EventStream } from \"./EventStream.mjs\";\nimport { isObj } from \"../internal/utils.mjs\";\nexport class AssistantStream extends EventStream {\n constructor() {\n super(...arguments);\n _AssistantStream_instances.add(this);\n //Track all events in a single list for reference\n _AssistantStream_events.set(this, []);\n //Used to accumulate deltas\n //We are accumulating many types so the value here is not strict\n _AssistantStream_runStepSnapshots.set(this, {});\n _AssistantStream_messageSnapshots.set(this, {});\n _AssistantStream_messageSnapshot.set(this, void 0);\n _AssistantStream_finalRun.set(this, void 0);\n _AssistantStream_currentContentIndex.set(this, void 0);\n _AssistantStream_currentContent.set(this, void 0);\n _AssistantStream_currentToolCallIndex.set(this, void 0);\n _AssistantStream_currentToolCall.set(this, void 0);\n //For current snapshot methods\n _AssistantStream_currentEvent.set(this, void 0);\n _AssistantStream_currentRunSnapshot.set(this, void 0);\n _AssistantStream_currentRunStepSnapshot.set(this, void 0);\n }\n [(_AssistantStream_events = new WeakMap(), _AssistantStream_runStepSnapshots = new WeakMap(), _AssistantStream_messageSnapshots = new WeakMap(), _AssistantStream_messageSnapshot = new WeakMap(), _AssistantStream_finalRun = new WeakMap(), _AssistantStream_currentContentIndex = new WeakMap(), _AssistantStream_currentContent = new WeakMap(), _AssistantStream_currentToolCallIndex = new WeakMap(), _AssistantStream_currentToolCall = new WeakMap(), _AssistantStream_currentEvent = new WeakMap(), _AssistantStream_currentRunSnapshot = new WeakMap(), _AssistantStream_currentRunStepSnapshot = new WeakMap(), _AssistantStream_instances = new WeakSet(), Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n //Catch all for passing along all events\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));\n }\n const chunk = pushQueue.shift();\n return { value: chunk, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n static fromReadableStream(stream) {\n const runner = new _a();\n runner._run(() => runner._fromReadableStream(stream));\n return runner;\n }\n async _fromReadableStream(readableStream, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n this._connected();\n const stream = Stream.fromReadableStream(readableStream, this.controller);\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n toReadableStream() {\n const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);\n return stream.toReadableStream();\n }\n static createToolAssistantStream(runId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runToolAssistantStream(runId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createToolAssistantStream(run, runId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.submitToolOutputs(runId, body, {\n ...options,\n signal: this.controller.signal,\n });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static createThreadAssistantStream(params, thread, options) {\n const runner = new _a();\n runner._run(() => runner._threadAssistantStream(params, thread, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n static createAssistantStream(threadId, runs, params, options) {\n const runner = new _a();\n runner._run(() => runner._runAssistantStream(threadId, runs, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n currentEvent() {\n return __classPrivateFieldGet(this, _AssistantStream_currentEvent, \"f\");\n }\n currentRun() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunSnapshot, \"f\");\n }\n currentMessageSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\");\n }\n currentRunStepSnapshot() {\n return __classPrivateFieldGet(this, _AssistantStream_currentRunStepSnapshot, \"f\");\n }\n async finalRunSteps() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\"));\n }\n async finalMessages() {\n await this.done();\n return Object.values(__classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\"));\n }\n async finalRun() {\n await this.done();\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run was not received.');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n }\n async _createThreadAssistantStream(thread, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await thread.createAndRun(body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n async _createAssistantStream(run, threadId, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n const body = { ...params, stream: true };\n const stream = await run.create(threadId, body, { ...options, signal: this.controller.signal });\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_addEvent).call(this, event);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return this._addRun(__classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_endRequest).call(this));\n }\n static accumulateDelta(acc, delta) {\n for (const [key, deltaValue] of Object.entries(delta)) {\n if (!acc.hasOwnProperty(key)) {\n acc[key] = deltaValue;\n continue;\n }\n let accValue = acc[key];\n if (accValue === null || accValue === undefined) {\n acc[key] = deltaValue;\n continue;\n }\n // We don't accumulate these special properties\n if (key === 'index' || key === 'type') {\n acc[key] = deltaValue;\n continue;\n }\n // Type-specific accumulation logic\n if (typeof accValue === 'string' && typeof deltaValue === 'string') {\n accValue += deltaValue;\n }\n else if (typeof accValue === 'number' && typeof deltaValue === 'number') {\n accValue += deltaValue;\n }\n else if (isObj(accValue) && isObj(deltaValue)) {\n accValue = this.accumulateDelta(accValue, deltaValue);\n }\n else if (Array.isArray(accValue) && Array.isArray(deltaValue)) {\n if (accValue.every((x) => typeof x === 'string' || typeof x === 'number')) {\n accValue.push(...deltaValue); // Use spread syntax for efficient addition\n continue;\n }\n for (const deltaEntry of deltaValue) {\n if (!isObj(deltaEntry)) {\n throw new Error(`Expected array delta entry to be an object but got: ${deltaEntry}`);\n }\n const index = deltaEntry['index'];\n if (index == null) {\n console.error(deltaEntry);\n throw new Error('Expected array delta entry to have an `index` property');\n }\n if (typeof index !== 'number') {\n throw new Error(`Expected array delta entry \\`index\\` property to be a number but got ${index}`);\n }\n const accEntry = accValue[index];\n if (accEntry == null) {\n accValue.push(deltaEntry);\n }\n else {\n accValue[index] = this.accumulateDelta(accEntry, deltaEntry);\n }\n }\n continue;\n }\n else {\n throw Error(`Unhandled record type: ${key}, deltaValue: ${deltaValue}, accValue: ${accValue}`);\n }\n acc[key] = accValue;\n }\n return acc;\n }\n _addRun(run) {\n return run;\n }\n async _threadAssistantStream(params, thread, options) {\n return await this._createThreadAssistantStream(thread, params, options);\n }\n async _runAssistantStream(threadId, runs, params, options) {\n return await this._createAssistantStream(runs, threadId, params, options);\n }\n async _runToolAssistantStream(runId, runs, params, options) {\n return await this._createToolAssistantStream(runs, runId, params, options);\n }\n}\n_a = AssistantStream, _AssistantStream_addEvent = function _AssistantStream_addEvent(event) {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _AssistantStream_currentEvent, event, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleEvent).call(this, event);\n switch (event.event) {\n case 'thread.created':\n //No action on this event.\n break;\n case 'thread.run.created':\n case 'thread.run.queued':\n case 'thread.run.in_progress':\n case 'thread.run.requires_action':\n case 'thread.run.completed':\n case 'thread.run.incomplete':\n case 'thread.run.failed':\n case 'thread.run.cancelling':\n case 'thread.run.cancelled':\n case 'thread.run.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRun).call(this, event);\n break;\n case 'thread.run.step.created':\n case 'thread.run.step.in_progress':\n case 'thread.run.step.delta':\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleRunStep).call(this, event);\n break;\n case 'thread.message.created':\n case 'thread.message.in_progress':\n case 'thread.message.delta':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_handleMessage).call(this, event);\n break;\n case 'error':\n //This is included for completeness, but errors are processed in the SSE event processing so this should not occur\n throw new Error('Encountered an error event in event processing - errors should be processed earlier');\n default:\n assertNever(event);\n }\n}, _AssistantStream_endRequest = function _AssistantStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n if (!__classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\"))\n throw Error('Final run has not been received');\n return __classPrivateFieldGet(this, _AssistantStream_finalRun, \"f\");\n}, _AssistantStream_handleMessage = function _AssistantStream_handleMessage(event) {\n const [accumulatedMessage, newContent] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateMessage).call(this, event, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, accumulatedMessage, \"f\");\n __classPrivateFieldGet(this, _AssistantStream_messageSnapshots, \"f\")[accumulatedMessage.id] = accumulatedMessage;\n for (const content of newContent) {\n const snapshotContent = accumulatedMessage.content[content.index];\n if (snapshotContent?.type == 'text') {\n this._emit('textCreated', snapshotContent.text);\n }\n }\n switch (event.event) {\n case 'thread.message.created':\n this._emit('messageCreated', event.data);\n break;\n case 'thread.message.in_progress':\n break;\n case 'thread.message.delta':\n this._emit('messageDelta', event.data.delta, accumulatedMessage);\n if (event.data.delta.content) {\n for (const content of event.data.delta.content) {\n //If it is text delta, emit a text delta event\n if (content.type == 'text' && content.text) {\n let textDelta = content.text;\n let snapshot = accumulatedMessage.content[content.index];\n if (snapshot && snapshot.type == 'text') {\n this._emit('textDelta', textDelta, snapshot.text);\n }\n else {\n throw Error('The snapshot associated with this text delta is not text or missing');\n }\n }\n if (content.index != __classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")) {\n //See if we have in progress content\n if (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\")) {\n switch (__classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").type) {\n case 'text':\n this._emit('textDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'image_file':\n this._emit('imageFileDone', __classPrivateFieldGet(this, _AssistantStream_currentContent, \"f\").image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContentIndex, content.index, \"f\");\n }\n __classPrivateFieldSet(this, _AssistantStream_currentContent, accumulatedMessage.content[content.index], \"f\");\n }\n }\n break;\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //We emit the latest content we were working on on completion (including incomplete)\n if (__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\") !== undefined) {\n const currentContent = event.data.content[__classPrivateFieldGet(this, _AssistantStream_currentContentIndex, \"f\")];\n if (currentContent) {\n switch (currentContent.type) {\n case 'image_file':\n this._emit('imageFileDone', currentContent.image_file, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n case 'text':\n this._emit('textDone', currentContent.text, __classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\"));\n break;\n }\n }\n }\n if (__classPrivateFieldGet(this, _AssistantStream_messageSnapshot, \"f\")) {\n this._emit('messageDone', event.data);\n }\n __classPrivateFieldSet(this, _AssistantStream_messageSnapshot, undefined, \"f\");\n }\n}, _AssistantStream_handleRunStep = function _AssistantStream_handleRunStep(event) {\n const accumulatedRunStep = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateRunStep).call(this, event);\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, accumulatedRunStep, \"f\");\n switch (event.event) {\n case 'thread.run.step.created':\n this._emit('runStepCreated', event.data);\n break;\n case 'thread.run.step.delta':\n const delta = event.data.delta;\n if (delta.step_details &&\n delta.step_details.type == 'tool_calls' &&\n delta.step_details.tool_calls &&\n accumulatedRunStep.step_details.type == 'tool_calls') {\n for (const toolCall of delta.step_details.tool_calls) {\n if (toolCall.index == __classPrivateFieldGet(this, _AssistantStream_currentToolCallIndex, \"f\")) {\n this._emit('toolCallDelta', toolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index]);\n }\n else {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n __classPrivateFieldSet(this, _AssistantStream_currentToolCallIndex, toolCall.index, \"f\");\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, accumulatedRunStep.step_details.tool_calls[toolCall.index], \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"))\n this._emit('toolCallCreated', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n }\n }\n }\n this._emit('runStepDelta', event.data.delta, accumulatedRunStep);\n break;\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n __classPrivateFieldSet(this, _AssistantStream_currentRunStepSnapshot, undefined, \"f\");\n const details = event.data.step_details;\n if (details.type == 'tool_calls') {\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n }\n this._emit('runStepDone', event.data, accumulatedRunStep);\n break;\n case 'thread.run.step.in_progress':\n break;\n }\n}, _AssistantStream_handleEvent = function _AssistantStream_handleEvent(event) {\n __classPrivateFieldGet(this, _AssistantStream_events, \"f\").push(event);\n this._emit('event', event);\n}, _AssistantStream_accumulateRunStep = function _AssistantStream_accumulateRunStep(event) {\n switch (event.event) {\n case 'thread.run.step.created':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n return event.data;\n case 'thread.run.step.delta':\n let snapshot = __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n if (!snapshot) {\n throw Error('Received a RunStepDelta before creation of a snapshot');\n }\n let data = event.data;\n if (data.delta) {\n const accumulated = _a.accumulateDelta(snapshot, data.delta);\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = accumulated;\n }\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n case 'thread.run.step.completed':\n case 'thread.run.step.failed':\n case 'thread.run.step.cancelled':\n case 'thread.run.step.expired':\n case 'thread.run.step.in_progress':\n __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id] = event.data;\n break;\n }\n if (__classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id])\n return __classPrivateFieldGet(this, _AssistantStream_runStepSnapshots, \"f\")[event.data.id];\n throw new Error('No snapshot available');\n}, _AssistantStream_accumulateMessage = function _AssistantStream_accumulateMessage(event, snapshot) {\n let newContent = [];\n switch (event.event) {\n case 'thread.message.created':\n //On creation the snapshot is just the initial message\n return [event.data, newContent];\n case 'thread.message.delta':\n if (!snapshot) {\n throw Error('Received a delta with no existing snapshot (there should be one from message creation)');\n }\n let data = event.data;\n //If this delta does not have content, nothing to process\n if (data.delta.content) {\n for (const contentElement of data.delta.content) {\n if (contentElement.index in snapshot.content) {\n let currentContent = snapshot.content[contentElement.index];\n snapshot.content[contentElement.index] = __classPrivateFieldGet(this, _AssistantStream_instances, \"m\", _AssistantStream_accumulateContent).call(this, contentElement, currentContent);\n }\n else {\n snapshot.content[contentElement.index] = contentElement;\n // This is a new element\n newContent.push(contentElement);\n }\n }\n }\n return [snapshot, newContent];\n case 'thread.message.in_progress':\n case 'thread.message.completed':\n case 'thread.message.incomplete':\n //No changes on other thread events\n if (snapshot) {\n return [snapshot, newContent];\n }\n else {\n throw Error('Received thread message event with no existing snapshot');\n }\n }\n throw Error('Tried to accumulate a non-message event');\n}, _AssistantStream_accumulateContent = function _AssistantStream_accumulateContent(contentElement, currentContent) {\n return _a.accumulateDelta(currentContent, contentElement);\n}, _AssistantStream_handleRun = function _AssistantStream_handleRun(event) {\n __classPrivateFieldSet(this, _AssistantStream_currentRunSnapshot, event.data, \"f\");\n switch (event.event) {\n case 'thread.run.created':\n break;\n case 'thread.run.queued':\n break;\n case 'thread.run.in_progress':\n break;\n case 'thread.run.requires_action':\n case 'thread.run.cancelled':\n case 'thread.run.failed':\n case 'thread.run.completed':\n case 'thread.run.expired':\n case 'thread.run.incomplete':\n __classPrivateFieldSet(this, _AssistantStream_finalRun, event.data, \"f\");\n if (__classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\")) {\n this._emit('toolCallDone', __classPrivateFieldGet(this, _AssistantStream_currentToolCall, \"f\"));\n __classPrivateFieldSet(this, _AssistantStream_currentToolCall, undefined, \"f\");\n }\n break;\n case 'thread.run.cancelling':\n break;\n }\n};\nfunction assertNever(_x) { }\n//# sourceMappingURL=AssistantStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../../core/resource.mjs\";\nimport * as StepsAPI from \"./steps.mjs\";\nimport { Steps, } from \"./steps.mjs\";\nimport { CursorPage } from \"../../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../../lib/AssistantStream.mjs\";\nimport { sleep } from \"../../../../internal/utils/sleep.mjs\";\nimport { path } from \"../../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.steps = new StepsAPI.Steps(this._client);\n }\n create(threadID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/threads/${threadID}/runs`, {\n query: { include },\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * Retrieves a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(runID, params, options) {\n const { thread_id } = params;\n return this._client.get(path `/threads/${thread_id}/runs/${runID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a run.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of runs belonging to a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n list(threadID, query = {}, options) {\n return this._client.getAPIList(path `/threads/${threadID}/runs`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancels a run that is `in_progress`.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n cancel(runID, params, options) {\n const { thread_id } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * A helper to create a run an poll for a terminal state. More information on Run\n * lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndPoll(threadId, body, options) {\n const run = await this.create(threadId, body, options);\n return await this.poll(run.id, { thread_id: threadId }, options);\n }\n /**\n * Create a Run stream\n *\n * @deprecated use `stream` instead\n */\n createAndStream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n /**\n * A helper to poll a run status until it reaches a terminal state. More\n * information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async poll(runId, params, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: run, response } = await this.retrieve(runId, params, {\n ...options,\n headers: { ...options?.headers, ...headers },\n }).withResponse();\n switch (run.status) {\n //If we are in any sort of intermediate state we poll\n case 'queued':\n case 'in_progress':\n case 'cancelling':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n //We return the run in any terminal state.\n case 'requires_action':\n case 'incomplete':\n case 'cancelled':\n case 'completed':\n case 'failed':\n case 'expired':\n return run;\n }\n }\n }\n /**\n * Create a Run stream\n */\n stream(threadId, body, options) {\n return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);\n }\n submitToolOutputs(runID, params, options) {\n const { thread_id, ...body } = params;\n return this._client.post(path `/threads/${thread_id}/runs/${runID}/submit_tool_outputs`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: params.stream ?? false,\n });\n }\n /**\n * A helper to submit a tool output to a run and poll for a terminal run state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async submitToolOutputsAndPoll(runId, params, options) {\n const run = await this.submitToolOutputs(runId, params, options);\n return await this.poll(run.id, params, options);\n }\n /**\n * Submit the tool outputs from a previous run and stream the run to a terminal\n * state. More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n submitToolOutputsStream(runId, params, options) {\n return AssistantStream.createToolAssistantStream(runId, this._client.beta.threads.runs, params, options);\n }\n}\nRuns.Steps = Steps;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as MessagesAPI from \"./messages.mjs\";\nimport { Messages, } from \"./messages.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { AssistantStream } from \"../../../lib/AssistantStream.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\n/**\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\nexport class Threads extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n this.messages = new MessagesAPI.Messages(this._client);\n }\n /**\n * Create a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n create(body = {}, options) {\n return this._client.post('/threads', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n retrieve(threadID, options) {\n return this._client.get(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n update(threadID, body, options) {\n return this._client.post(path `/threads/${threadID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a thread.\n *\n * @deprecated The Assistants API is deprecated in favor of the Responses API\n */\n delete(threadID, options) {\n return this._client.delete(path `/threads/${threadID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n createAndRun(body, options) {\n return this._client.post('/threads/runs', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n stream: body.stream ?? false,\n });\n }\n /**\n * A helper to create a thread, start a run and then poll for a terminal state.\n * More information on Run lifecycles can be found here:\n * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps\n */\n async createAndRunPoll(body, options) {\n const run = await this.createAndRun(body, options);\n return await this.runs.poll(run.id, { thread_id: run.thread_id }, options);\n }\n /**\n * Create a thread and stream the run back\n */\n createAndRunStream(body, options) {\n return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options);\n }\n}\nThreads.Runs = Runs;\nThreads.Messages = Messages;\n//# sourceMappingURL=threads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as AssistantsAPI from \"./assistants.mjs\";\nimport { Assistants, } from \"./assistants.mjs\";\nimport * as RealtimeAPI from \"./realtime/realtime.mjs\";\nimport { Realtime, } from \"./realtime/realtime.mjs\";\nimport * as ThreadsAPI from \"./threads/threads.mjs\";\nimport { Threads, } from \"./threads/threads.mjs\";\nexport class Beta extends APIResource {\n constructor() {\n super(...arguments);\n this.realtime = new RealtimeAPI.Realtime(this._client);\n this.assistants = new AssistantsAPI.Assistants(this._client);\n this.threads = new ThreadsAPI.Threads(this._client);\n }\n}\nBeta.Realtime = Realtime;\nBeta.Assistants = Assistants;\nBeta.Threads = Threads;\n//# sourceMappingURL=beta.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Completions extends APIResource {\n create(body, options) {\n return this._client.post('/completions', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=completions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Content extends APIResource {\n /**\n * Retrieve Container File Content\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n}\n//# sourceMappingURL=content.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as ContentAPI from \"./content.mjs\";\nimport { Content } from \"./content.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../../internal/headers.mjs\";\nimport { multipartFormRequestOptions } from \"../../../internal/uploads.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n constructor() {\n super(...arguments);\n this.content = new ContentAPI.Content(this._client);\n }\n /**\n * Create a Container File\n *\n * You can send either a multipart/form-data request with the raw file content, or\n * a JSON request with a file ID.\n */\n create(containerID, body, options) {\n return this._client.post(path `/containers/${containerID}/files`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Retrieve Container File\n */\n retrieve(fileID, params, options) {\n const { container_id } = params;\n return this._client.get(path `/containers/${container_id}/files/${fileID}`, options);\n }\n /**\n * List Container files\n */\n list(containerID, query = {}, options) {\n return this._client.getAPIList(path `/containers/${containerID}/files`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete Container File\n */\n delete(fileID, params, options) {\n const { container_id } = params;\n return this._client.delete(path `/containers/${container_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nFiles.Content = Content;\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FilesAPI from \"./files/files.mjs\";\nimport { Files, } from \"./files/files.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Containers extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n }\n /**\n * Create Container\n */\n create(body, options) {\n return this._client.post('/containers', { body, ...options });\n }\n /**\n * Retrieve Container\n */\n retrieve(containerID, options) {\n return this._client.get(path `/containers/${containerID}`, options);\n }\n /**\n * List Containers\n */\n list(query = {}, options) {\n return this._client.getAPIList('/containers', (CursorPage), { query, ...options });\n }\n /**\n * Delete Container\n */\n delete(containerID, options) {\n return this._client.delete(path `/containers/${containerID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n}\nContainers.Files = Files;\n//# sourceMappingURL=containers.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { ConversationCursorPage, } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Items extends APIResource {\n /**\n * Create items in a conversation with the given ID.\n */\n create(conversationID, params, options) {\n const { include, ...body } = params;\n return this._client.post(path `/conversations/${conversationID}/items`, {\n query: { include },\n body,\n ...options,\n });\n }\n /**\n * Get a single item from a conversation with the given IDs.\n */\n retrieve(itemID, params, options) {\n const { conversation_id, ...query } = params;\n return this._client.get(path `/conversations/${conversation_id}/items/${itemID}`, { query, ...options });\n }\n /**\n * List all items for a conversation with the given ID.\n */\n list(conversationID, query = {}, options) {\n return this._client.getAPIList(path `/conversations/${conversationID}/items`, (ConversationCursorPage), { query, ...options });\n }\n /**\n * Delete an item from a conversation with the given IDs.\n */\n delete(itemID, params, options) {\n const { conversation_id } = params;\n return this._client.delete(path `/conversations/${conversation_id}/items/${itemID}`, options);\n }\n}\n//# sourceMappingURL=items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ItemsAPI from \"./items.mjs\";\nimport { Items, } from \"./items.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Conversations extends APIResource {\n constructor() {\n super(...arguments);\n this.items = new ItemsAPI.Items(this._client);\n }\n /**\n * Create a conversation.\n */\n create(body = {}, options) {\n return this._client.post('/conversations', { body, ...options });\n }\n /**\n * Get a conversation\n */\n retrieve(conversationID, options) {\n return this._client.get(path `/conversations/${conversationID}`, options);\n }\n /**\n * Update a conversation\n */\n update(conversationID, body, options) {\n return this._client.post(path `/conversations/${conversationID}`, { body, ...options });\n }\n /**\n * Delete a conversation. Items in the conversation will not be deleted.\n */\n delete(conversationID, options) {\n return this._client.delete(path `/conversations/${conversationID}`, options);\n }\n}\nConversations.Items = Items;\n//# sourceMappingURL=conversations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { loggerFor, toFloat32Array } from \"../internal/utils.mjs\";\nexport class Embeddings extends APIResource {\n /**\n * Creates an embedding vector representing the input text.\n *\n * @example\n * ```ts\n * const createEmbeddingResponse =\n * await client.embeddings.create({\n * input: 'The quick brown fox jumped over the lazy dog',\n * model: 'text-embedding-3-small',\n * });\n * ```\n */\n create(body, options) {\n const hasUserProvidedEncodingFormat = !!body.encoding_format;\n // No encoding_format specified, defaulting to base64 for performance reasons\n // See https://github.com/openai/openai-node/pull/1312\n let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';\n if (hasUserProvidedEncodingFormat) {\n loggerFor(this._client).debug('embeddings/user defined encoding_format:', body.encoding_format);\n }\n const response = this._client.post('/embeddings', {\n body: {\n ...body,\n encoding_format: encoding_format,\n },\n ...options,\n });\n // if the user specified an encoding_format, return the response as-is\n if (hasUserProvidedEncodingFormat) {\n return response;\n }\n // in this stage, we are sure the user did not specify an encoding_format\n // and we defaulted to base64 for performance reasons\n // we are sure then that the response is base64 encoded, let's decode it\n // the returned result will be a float32 array since this is OpenAI API's default encoding\n loggerFor(this._client).debug('embeddings/decoding base64 embeddings from base64');\n return response._thenUnwrap((response) => {\n if (response && response.data) {\n response.data.forEach((embeddingBase64Obj) => {\n const embeddingBase64Str = embeddingBase64Obj.embedding;\n embeddingBase64Obj.embedding = toFloat32Array(embeddingBase64Str);\n });\n }\n return response;\n });\n }\n}\n//# sourceMappingURL=embeddings.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class OutputItems extends APIResource {\n /**\n * Get an evaluation run output item by ID.\n */\n retrieve(outputItemID, params, options) {\n const { eval_id, run_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);\n }\n /**\n * Get a list of output items for an evaluation run.\n */\n list(runID, params, options) {\n const { eval_id, ...query } = params;\n return this._client.getAPIList(path `/evals/${eval_id}/runs/${runID}/output_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=output-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as OutputItemsAPI from \"./output-items.mjs\";\nimport { OutputItems, } from \"./output-items.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Runs extends APIResource {\n constructor() {\n super(...arguments);\n this.outputItems = new OutputItemsAPI.OutputItems(this._client);\n }\n /**\n * Kicks off a new run for a given evaluation, specifying the data source, and what\n * model configuration to use to test. The datasource will be validated against the\n * schema specified in the config of the evaluation.\n */\n create(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}/runs`, { body, ...options });\n }\n /**\n * Get an evaluation run by ID.\n */\n retrieve(runID, params, options) {\n const { eval_id } = params;\n return this._client.get(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Get a list of runs for an evaluation.\n */\n list(evalID, query = {}, options) {\n return this._client.getAPIList(path `/evals/${evalID}/runs`, (CursorPage), {\n query,\n ...options,\n });\n }\n /**\n * Delete an eval run.\n */\n delete(runID, params, options) {\n const { eval_id } = params;\n return this._client.delete(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n /**\n * Cancel an ongoing evaluation run.\n */\n cancel(runID, params, options) {\n const { eval_id } = params;\n return this._client.post(path `/evals/${eval_id}/runs/${runID}`, options);\n }\n}\nRuns.OutputItems = OutputItems;\n//# sourceMappingURL=runs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as RunsAPI from \"./runs/runs.mjs\";\nimport { Runs, } from \"./runs/runs.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Evals extends APIResource {\n constructor() {\n super(...arguments);\n this.runs = new RunsAPI.Runs(this._client);\n }\n /**\n * Create the structure of an evaluation that can be used to test a model's\n * performance. An evaluation is a set of testing criteria and the config for a\n * data source, which dictates the schema of the data used in the evaluation. After\n * creating an evaluation, you can run it on different models and model parameters.\n * We support several types of graders and datasources. For more information, see\n * the [Evals guide](https://platform.openai.com/docs/guides/evals).\n */\n create(body, options) {\n return this._client.post('/evals', { body, ...options });\n }\n /**\n * Get an evaluation by ID.\n */\n retrieve(evalID, options) {\n return this._client.get(path `/evals/${evalID}`, options);\n }\n /**\n * Update certain properties of an evaluation.\n */\n update(evalID, body, options) {\n return this._client.post(path `/evals/${evalID}`, { body, ...options });\n }\n /**\n * List evaluations for a project.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/evals', (CursorPage), { query, ...options });\n }\n /**\n * Delete an evaluation.\n */\n delete(evalID, options) {\n return this._client.delete(path `/evals/${evalID}`, options);\n }\n}\nEvals.Runs = Runs;\n//# sourceMappingURL=evals.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { CursorPage } from \"../core/pagination.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nimport { sleep } from \"../internal/utils/sleep.mjs\";\nimport { APIConnectionTimeoutError } from \"../error.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Upload a file that can be used across various endpoints. Individual files can be\n * up to 512 MB, and the size of all files uploaded by one organization can be up\n * to 1 TB.\n *\n * The Assistants API supports files up to 2 million tokens and of specific file\n * types. See the\n * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for\n * details.\n *\n * The Fine-tuning API only supports `.jsonl` files. The input also has certain\n * required formats for fine-tuning\n * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or\n * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)\n * models.\n *\n * The Batch API only supports `.jsonl` files up to 200 MB in size. The input also\n * has a specific required\n * [format](https://platform.openai.com/docs/api-reference/batch/request-input).\n *\n * Please [contact us](https://help.openai.com/) if you need to increase these\n * storage limits.\n */\n create(body, options) {\n return this._client.post('/files', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n /**\n * Returns information about a specific file.\n */\n retrieve(fileID, options) {\n return this._client.get(path `/files/${fileID}`, options);\n }\n /**\n * Returns a list of files.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/files', (CursorPage), { query, ...options });\n }\n /**\n * Delete a file.\n */\n delete(fileID, options) {\n return this._client.delete(path `/files/${fileID}`, options);\n }\n /**\n * Returns the contents of the specified file.\n */\n content(fileID, options) {\n return this._client.get(path `/files/${fileID}/content`, {\n ...options,\n headers: buildHeaders([{ Accept: 'application/binary' }, options?.headers]),\n __binaryResponse: true,\n });\n }\n /**\n * Waits for the given file to be processed, default timeout is 30 mins.\n */\n async waitForProcessing(id, { pollInterval = 5000, maxWait = 30 * 60 * 1000 } = {}) {\n const TERMINAL_STATES = new Set(['processed', 'error', 'deleted']);\n const start = Date.now();\n let file = await this.retrieve(id);\n while (!file.status || !TERMINAL_STATES.has(file.status)) {\n await sleep(pollInterval);\n file = await this.retrieve(id);\n if (Date.now() - start > maxWait) {\n throw new APIConnectionTimeoutError({\n message: `Giving up on waiting for file ${id} to finish processing after ${maxWait} milliseconds.`,\n });\n }\n }\n return file;\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class Methods extends APIResource {\n}\n//# sourceMappingURL=methods.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nexport class Graders extends APIResource {\n /**\n * Run a grader.\n *\n * @example\n * ```ts\n * const response = await client.fineTuning.alpha.graders.run({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * model_sample: 'model_sample',\n * });\n * ```\n */\n run(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/run', { body, ...options });\n }\n /**\n * Validate a grader.\n *\n * @example\n * ```ts\n * const response =\n * await client.fineTuning.alpha.graders.validate({\n * grader: {\n * input: 'input',\n * name: 'name',\n * operation: 'eq',\n * reference: 'reference',\n * type: 'string_check',\n * },\n * });\n * ```\n */\n validate(body, options) {\n return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options });\n }\n}\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as GradersAPI from \"./graders.mjs\";\nimport { Graders, } from \"./graders.mjs\";\nexport class Alpha extends APIResource {\n constructor() {\n super(...arguments);\n this.graders = new GradersAPI.Graders(this._client);\n }\n}\nAlpha.Graders = Graders;\n//# sourceMappingURL=alpha.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { Page } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Permissions extends APIResource {\n /**\n * **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).\n *\n * This enables organization owners to share fine-tuned models with other projects\n * in their organization.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const permissionCreateResponse of client.fineTuning.checkpoints.permissions.create(\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * { project_ids: ['string'] },\n * )) {\n * // ...\n * }\n * ```\n */\n create(fineTunedModelCheckpoint, body, options) {\n return this._client.getAPIList(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, (Page), { body, method: 'post', ...options });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to view all permissions for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTunedModelCheckpoint, query = {}, options) {\n return this._client.get(path `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, {\n query,\n ...options,\n });\n }\n /**\n * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).\n *\n * Organization owners can use this endpoint to delete a permission for a\n * fine-tuned model checkpoint.\n *\n * @example\n * ```ts\n * const permission =\n * await client.fineTuning.checkpoints.permissions.delete(\n * 'cp_zc4Q7MP6XxulcVzj4MZdwsAB',\n * {\n * fine_tuned_model_checkpoint:\n * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd',\n * },\n * );\n * ```\n */\n delete(permissionID, params, options) {\n const { fine_tuned_model_checkpoint } = params;\n return this._client.delete(path `/fine_tuning/checkpoints/${fine_tuned_model_checkpoint}/permissions/${permissionID}`, options);\n }\n}\n//# sourceMappingURL=permissions.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as PermissionsAPI from \"./permissions.mjs\";\nimport { Permissions, } from \"./permissions.mjs\";\nexport class Checkpoints extends APIResource {\n constructor() {\n super(...arguments);\n this.permissions = new PermissionsAPI.Permissions(this._client);\n }\n}\nCheckpoints.Permissions = Permissions;\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Checkpoints extends APIResource {\n /**\n * List checkpoints for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobCheckpoint of client.fineTuning.jobs.checkpoints.list(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n list(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/checkpoints`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=checkpoints.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../../core/resource.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints.mjs\";\nimport { Checkpoints, } from \"./checkpoints.mjs\";\nimport { CursorPage } from \"../../../core/pagination.mjs\";\nimport { path } from \"../../../internal/utils/path.mjs\";\nexport class Jobs extends APIResource {\n constructor() {\n super(...arguments);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n }\n /**\n * Creates a fine-tuning job which begins the process of creating a new model from\n * a given dataset.\n *\n * Response includes details of the enqueued job including job status and the name\n * of the fine-tuned models once complete.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.create({\n * model: 'gpt-4o-mini',\n * training_file: 'file-abc123',\n * });\n * ```\n */\n create(body, options) {\n return this._client.post('/fine_tuning/jobs', { body, ...options });\n }\n /**\n * Get info about a fine-tuning job.\n *\n * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.retrieve(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n retrieve(fineTuningJobID, options) {\n return this._client.get(path `/fine_tuning/jobs/${fineTuningJobID}`, options);\n }\n /**\n * List your organization's fine-tuning jobs\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJob of client.fineTuning.jobs.list()) {\n * // ...\n * }\n * ```\n */\n list(query = {}, options) {\n return this._client.getAPIList('/fine_tuning/jobs', (CursorPage), { query, ...options });\n }\n /**\n * Immediately cancel a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.cancel(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n cancel(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/cancel`, options);\n }\n /**\n * Get status updates for a fine-tuning job.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * )) {\n * // ...\n * }\n * ```\n */\n listEvents(fineTuningJobID, query = {}, options) {\n return this._client.getAPIList(path `/fine_tuning/jobs/${fineTuningJobID}/events`, (CursorPage), { query, ...options });\n }\n /**\n * Pause a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.pause(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n pause(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/pause`, options);\n }\n /**\n * Resume a fine-tune job.\n *\n * @example\n * ```ts\n * const fineTuningJob = await client.fineTuning.jobs.resume(\n * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F',\n * );\n * ```\n */\n resume(fineTuningJobID, options) {\n return this._client.post(path `/fine_tuning/jobs/${fineTuningJobID}/resume`, options);\n }\n}\nJobs.Checkpoints = Checkpoints;\n//# sourceMappingURL=jobs.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as MethodsAPI from \"./methods.mjs\";\nimport { Methods, } from \"./methods.mjs\";\nimport * as AlphaAPI from \"./alpha/alpha.mjs\";\nimport { Alpha } from \"./alpha/alpha.mjs\";\nimport * as CheckpointsAPI from \"./checkpoints/checkpoints.mjs\";\nimport { Checkpoints } from \"./checkpoints/checkpoints.mjs\";\nimport * as JobsAPI from \"./jobs/jobs.mjs\";\nimport { Jobs, } from \"./jobs/jobs.mjs\";\nexport class FineTuning extends APIResource {\n constructor() {\n super(...arguments);\n this.methods = new MethodsAPI.Methods(this._client);\n this.jobs = new JobsAPI.Jobs(this._client);\n this.checkpoints = new CheckpointsAPI.Checkpoints(this._client);\n this.alpha = new AlphaAPI.Alpha(this._client);\n }\n}\nFineTuning.Methods = Methods;\nFineTuning.Jobs = Jobs;\nFineTuning.Checkpoints = Checkpoints;\nFineTuning.Alpha = Alpha;\n//# sourceMappingURL=fine-tuning.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class GraderModels extends APIResource {\n}\n//# sourceMappingURL=grader-models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as GraderModelsAPI from \"./grader-models.mjs\";\nimport { GraderModels, } from \"./grader-models.mjs\";\nexport class Graders extends APIResource {\n constructor() {\n super(...arguments);\n this.graderModels = new GraderModelsAPI.GraderModels(this._client);\n }\n}\nGraders.GraderModels = GraderModels;\n//# sourceMappingURL=graders.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../internal/uploads.mjs\";\nexport class Images extends APIResource {\n /**\n * Creates a variation of a given image. This endpoint only supports `dall-e-2`.\n *\n * @example\n * ```ts\n * const imagesResponse = await client.images.createVariation({\n * image: fs.createReadStream('otter.png'),\n * });\n * ```\n */\n createVariation(body, options) {\n return this._client.post('/images/variations', multipartFormRequestOptions({ body, ...options }, this._client));\n }\n edit(body, options) {\n return this._client.post('/images/edits', multipartFormRequestOptions({ body, ...options, stream: body.stream ?? false }, this._client));\n }\n generate(body, options) {\n return this._client.post('/images/generations', { body, ...options, stream: body.stream ?? false });\n }\n}\n//# sourceMappingURL=images.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nimport { Page } from \"../core/pagination.mjs\";\nimport { path } from \"../internal/utils/path.mjs\";\nexport class Models extends APIResource {\n /**\n * Retrieves a model instance, providing basic information about the model such as\n * the owner and permissioning.\n */\n retrieve(model, options) {\n return this._client.get(path `/models/${model}`, options);\n }\n /**\n * Lists the currently available models, and provides basic information about each\n * one such as the owner and availability.\n */\n list(options) {\n return this._client.getAPIList('/models', (Page), options);\n }\n /**\n * Delete a fine-tuned model. You must have the Owner role in your organization to\n * delete a model.\n */\n delete(model, options) {\n return this._client.delete(path `/models/${model}`, options);\n }\n}\n//# sourceMappingURL=models.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../core/resource.mjs\";\nexport class Moderations extends APIResource {\n /**\n * Classifies if text and/or image inputs are potentially harmful. Learn more in\n * the [moderation guide](https://platform.openai.com/docs/guides/moderation).\n */\n create(body, options) {\n return this._client.post('/moderations', { body, ...options });\n }\n}\n//# sourceMappingURL=moderations.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nexport class ClientSecrets extends APIResource {\n /**\n * Create a Realtime client secret with an associated session configuration.\n */\n create(body, options) {\n return this._client.post('/realtime/client_secrets', { body, ...options });\n }\n}\n//# sourceMappingURL=client-secrets.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as ClientSecretsAPI from \"./client-secrets.mjs\";\nimport { ClientSecrets, } from \"./client-secrets.mjs\";\nexport class Realtime extends APIResource {\n constructor() {\n super(...arguments);\n this.clientSecrets = new ClientSecretsAPI.ClientSecrets(this._client);\n }\n}\nRealtime.ClientSecrets = ClientSecrets;\n//# sourceMappingURL=realtime.mjs.map","import { OpenAIError } from \"../error.mjs\";\nimport { isAutoParsableResponseFormat } from \"../lib/parser.mjs\";\nexport function maybeParseResponse(response, params) {\n if (!params || !hasAutoParseableInput(params)) {\n return {\n ...response,\n output_parsed: null,\n output: response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: null,\n };\n }\n if (item.type === 'message') {\n return {\n ...item,\n content: item.content.map((content) => ({\n ...content,\n parsed: null,\n })),\n };\n }\n else {\n return item;\n }\n }),\n };\n }\n return parseResponse(response, params);\n}\nexport function parseResponse(response, params) {\n const output = response.output.map((item) => {\n if (item.type === 'function_call') {\n return {\n ...item,\n parsed_arguments: parseToolCall(params, item),\n };\n }\n if (item.type === 'message') {\n const content = item.content.map((content) => {\n if (content.type === 'output_text') {\n return {\n ...content,\n parsed: parseTextFormat(params, content.text),\n };\n }\n return content;\n });\n return {\n ...item,\n content,\n };\n }\n return item;\n });\n const parsed = Object.assign({}, response, { output });\n if (!Object.getOwnPropertyDescriptor(response, 'output_text')) {\n addOutputText(parsed);\n }\n Object.defineProperty(parsed, 'output_parsed', {\n enumerable: true,\n get() {\n for (const output of parsed.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text' && content.parsed !== null) {\n return content.parsed;\n }\n }\n }\n return null;\n },\n });\n return parsed;\n}\nfunction parseTextFormat(params, content) {\n if (params.text?.format?.type !== 'json_schema') {\n return null;\n }\n if ('$parseRaw' in params.text?.format) {\n const text_format = params.text?.format;\n return text_format.$parseRaw(content);\n }\n return JSON.parse(content);\n}\nexport function hasAutoParseableInput(params) {\n if (isAutoParsableResponseFormat(params.text?.format)) {\n return true;\n }\n return false;\n}\nexport function makeParseableResponseTool(tool, { parser, callback, }) {\n const obj = { ...tool };\n Object.defineProperties(obj, {\n $brand: {\n value: 'auto-parseable-tool',\n enumerable: false,\n },\n $parseRaw: {\n value: parser,\n enumerable: false,\n },\n $callback: {\n value: callback,\n enumerable: false,\n },\n });\n return obj;\n}\nexport function isAutoParsableTool(tool) {\n return tool?.['$brand'] === 'auto-parseable-tool';\n}\nfunction getInputToolByName(input_tools, name) {\n return input_tools.find((tool) => tool.type === 'function' && tool.name === name);\n}\nfunction parseToolCall(params, toolCall) {\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return {\n ...toolCall,\n ...toolCall,\n parsed_arguments: isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.arguments)\n : inputTool?.strict ? JSON.parse(toolCall.arguments)\n : null,\n };\n}\nexport function shouldParseToolCall(params, toolCall) {\n if (!params) {\n return false;\n }\n const inputTool = getInputToolByName(params.tools ?? [], toolCall.name);\n return isAutoParsableTool(inputTool) || inputTool?.strict || false;\n}\nexport function validateInputTools(tools) {\n for (const tool of tools ?? []) {\n if (tool.type !== 'function') {\n throw new OpenAIError(`Currently only \\`function\\` tool types support auto-parsing; Received \\`${tool.type}\\``);\n }\n if (tool.function.strict !== true) {\n throw new OpenAIError(`The \\`${tool.function.name}\\` tool is not marked with \\`strict: true\\`. Only strict function tools can be auto-parsed`);\n }\n }\n}\nexport function addOutputText(rsp) {\n const texts = [];\n for (const output of rsp.output) {\n if (output.type !== 'message') {\n continue;\n }\n for (const content of output.content) {\n if (content.type === 'output_text') {\n texts.push(content.text);\n }\n }\n }\n rsp.output_text = texts.join('');\n}\n//# sourceMappingURL=ResponsesParser.mjs.map","var _ResponseStream_instances, _ResponseStream_params, _ResponseStream_currentResponseSnapshot, _ResponseStream_finalResponse, _ResponseStream_beginRequest, _ResponseStream_addEvent, _ResponseStream_endRequest, _ResponseStream_accumulateResponse;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"../../internal/tslib.mjs\";\nimport { APIUserAbortError, OpenAIError } from \"../../error.mjs\";\nimport { EventStream } from \"../EventStream.mjs\";\nimport { maybeParseResponse } from \"../ResponsesParser.mjs\";\nexport class ResponseStream extends EventStream {\n constructor(params) {\n super();\n _ResponseStream_instances.add(this);\n _ResponseStream_params.set(this, void 0);\n _ResponseStream_currentResponseSnapshot.set(this, void 0);\n _ResponseStream_finalResponse.set(this, void 0);\n __classPrivateFieldSet(this, _ResponseStream_params, params, \"f\");\n }\n static createResponse(client, params, options) {\n const runner = new ResponseStream(params);\n runner._run(() => runner._createOrRetrieveResponse(client, params, {\n ...options,\n headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' },\n }));\n return runner;\n }\n async _createOrRetrieveResponse(client, params, options) {\n const signal = options?.signal;\n if (signal) {\n if (signal.aborted)\n this.controller.abort();\n signal.addEventListener('abort', () => this.controller.abort());\n }\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_beginRequest).call(this);\n let stream;\n let starting_after = null;\n if ('response_id' in params) {\n stream = await client.responses.retrieve(params.response_id, { stream: true }, { ...options, signal: this.controller.signal, stream: true });\n starting_after = params.starting_after ?? null;\n }\n else {\n stream = await client.responses.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });\n }\n this._connected();\n for await (const event of stream) {\n __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_addEvent).call(this, event, starting_after);\n }\n if (stream.controller.signal?.aborted) {\n throw new APIUserAbortError();\n }\n return __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_endRequest).call(this);\n }\n [(_ResponseStream_params = new WeakMap(), _ResponseStream_currentResponseSnapshot = new WeakMap(), _ResponseStream_finalResponse = new WeakMap(), _ResponseStream_instances = new WeakSet(), _ResponseStream_beginRequest = function _ResponseStream_beginRequest() {\n if (this.ended)\n return;\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n }, _ResponseStream_addEvent = function _ResponseStream_addEvent(event, starting_after) {\n if (this.ended)\n return;\n const maybeEmit = (name, event) => {\n if (starting_after == null || event.sequence_number > starting_after) {\n this._emit(name, event);\n }\n };\n const response = __classPrivateFieldGet(this, _ResponseStream_instances, \"m\", _ResponseStream_accumulateResponse).call(this, event);\n maybeEmit('event', event);\n switch (event.type) {\n case 'response.output_text.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n maybeEmit('response.output_text.delta', {\n ...event,\n snapshot: content.text,\n });\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = response.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n maybeEmit('response.function_call_arguments.delta', {\n ...event,\n snapshot: output.arguments,\n });\n }\n break;\n }\n default:\n maybeEmit(event.type, event);\n break;\n }\n }, _ResponseStream_endRequest = function _ResponseStream_endRequest() {\n if (this.ended) {\n throw new OpenAIError(`stream has ended, this shouldn't happen`);\n }\n const snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n throw new OpenAIError(`request ended without sending any events`);\n }\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, undefined, \"f\");\n const parsedResponse = finalizeResponse(snapshot, __classPrivateFieldGet(this, _ResponseStream_params, \"f\"));\n __classPrivateFieldSet(this, _ResponseStream_finalResponse, parsedResponse, \"f\");\n return parsedResponse;\n }, _ResponseStream_accumulateResponse = function _ResponseStream_accumulateResponse(event) {\n let snapshot = __classPrivateFieldGet(this, _ResponseStream_currentResponseSnapshot, \"f\");\n if (!snapshot) {\n if (event.type !== 'response.created') {\n throw new OpenAIError(`When snapshot hasn't been set yet, expected 'response.created' event, got ${event.type}`);\n }\n snapshot = __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n return snapshot;\n }\n switch (event.type) {\n case 'response.output_item.added': {\n snapshot.output.push(event.item);\n break;\n }\n case 'response.content_part.added': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n const type = output.type;\n const part = event.part;\n if (type === 'message' && part.type !== 'reasoning_text') {\n output.content.push(part);\n }\n else if (type === 'reasoning' && part.type === 'reasoning_text') {\n if (!output.content) {\n output.content = [];\n }\n output.content.push(part);\n }\n break;\n }\n case 'response.output_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'message') {\n const content = output.content[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'output_text') {\n throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.function_call_arguments.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'function_call') {\n output.arguments += event.delta;\n }\n break;\n }\n case 'response.reasoning_text.delta': {\n const output = snapshot.output[event.output_index];\n if (!output) {\n throw new OpenAIError(`missing output at index ${event.output_index}`);\n }\n if (output.type === 'reasoning') {\n const content = output.content?.[event.content_index];\n if (!content) {\n throw new OpenAIError(`missing content at index ${event.content_index}`);\n }\n if (content.type !== 'reasoning_text') {\n throw new OpenAIError(`expected content to be 'reasoning_text', got ${content.type}`);\n }\n content.text += event.delta;\n }\n break;\n }\n case 'response.completed': {\n __classPrivateFieldSet(this, _ResponseStream_currentResponseSnapshot, event.response, \"f\");\n break;\n }\n }\n return snapshot;\n }, Symbol.asyncIterator)]() {\n const pushQueue = [];\n const readQueue = [];\n let done = false;\n this.on('event', (event) => {\n const reader = readQueue.shift();\n if (reader) {\n reader.resolve(event);\n }\n else {\n pushQueue.push(event);\n }\n });\n this.on('end', () => {\n done = true;\n for (const reader of readQueue) {\n reader.resolve(undefined);\n }\n readQueue.length = 0;\n });\n this.on('abort', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n this.on('error', (err) => {\n done = true;\n for (const reader of readQueue) {\n reader.reject(err);\n }\n readQueue.length = 0;\n });\n return {\n next: async () => {\n if (!pushQueue.length) {\n if (done) {\n return { value: undefined, done: true };\n }\n return new Promise((resolve, reject) => readQueue.push({ resolve, reject })).then((event) => (event ? { value: event, done: false } : { value: undefined, done: true }));\n }\n const event = pushQueue.shift();\n return { value: event, done: false };\n },\n return: async () => {\n this.abort();\n return { value: undefined, done: true };\n },\n };\n }\n /**\n * @returns a promise that resolves with the final Response, or rejects\n * if an error occurred or the stream ended prematurely without producing a REsponse.\n */\n async finalResponse() {\n await this.done();\n const response = __classPrivateFieldGet(this, _ResponseStream_finalResponse, \"f\");\n if (!response)\n throw new OpenAIError('stream ended without producing a ChatCompletion');\n return response;\n }\n}\nfunction finalizeResponse(snapshot, params) {\n return maybeParseResponse(snapshot, params);\n}\n//# sourceMappingURL=ResponseStream.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class InputItems extends APIResource {\n /**\n * Returns a list of input items for a given response.\n *\n * @example\n * ```ts\n * // Automatically fetches more pages as needed.\n * for await (const responseItem of client.responses.inputItems.list(\n * 'response_id',\n * )) {\n * // ...\n * }\n * ```\n */\n list(responseID, query = {}, options) {\n return this._client.getAPIList(path `/responses/${responseID}/input_items`, (CursorPage), { query, ...options });\n }\n}\n//# sourceMappingURL=input-items.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { parseResponse, addOutputText, } from \"../../lib/ResponsesParser.mjs\";\nimport { ResponseStream } from \"../../lib/responses/ResponseStream.mjs\";\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as InputItemsAPI from \"./input-items.mjs\";\nimport { InputItems } from \"./input-items.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Responses extends APIResource {\n constructor() {\n super(...arguments);\n this.inputItems = new InputItemsAPI.InputItems(this._client);\n }\n create(body, options) {\n return this._client.post('/responses', { body, ...options, stream: body.stream ?? false })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n retrieve(responseID, query = {}, options) {\n return this._client.get(path `/responses/${responseID}`, {\n query,\n ...options,\n stream: query?.stream ?? false,\n })._thenUnwrap((rsp) => {\n if ('object' in rsp && rsp.object === 'response') {\n addOutputText(rsp);\n }\n return rsp;\n });\n }\n /**\n * Deletes a model response with the given ID.\n *\n * @example\n * ```ts\n * await client.responses.delete(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n delete(responseID, options) {\n return this._client.delete(path `/responses/${responseID}`, {\n ...options,\n headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),\n });\n }\n parse(body, options) {\n return this._client.responses\n .create(body, options)\n ._thenUnwrap((response) => parseResponse(response, body));\n }\n /**\n * Creates a model response stream\n */\n stream(body, options) {\n return ResponseStream.createResponse(this._client, body, options);\n }\n /**\n * Cancels a model response with the given ID. Only responses created with the\n * `background` parameter set to `true` can be cancelled.\n * [Learn more](https://platform.openai.com/docs/guides/background).\n *\n * @example\n * ```ts\n * const response = await client.responses.cancel(\n * 'resp_677efb5139a88190b512bc3fef8e535d',\n * );\n * ```\n */\n cancel(responseID, options) {\n return this._client.post(path `/responses/${responseID}/cancel`, options);\n }\n}\nResponses.InputItems = InputItems;\n//# sourceMappingURL=responses.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { multipartFormRequestOptions } from \"../../internal/uploads.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Parts extends APIResource {\n /**\n * Adds a\n * [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.\n * A Part represents a chunk of bytes from the file you are trying to upload.\n *\n * Each Part can be at most 64 MB, and you can add Parts until you hit the Upload\n * maximum of 8 GB.\n *\n * It is possible to add multiple Parts in parallel. You can decide the intended\n * order of the Parts when you\n * [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).\n */\n create(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/parts`, multipartFormRequestOptions({ body, ...options }, this._client));\n }\n}\n//# sourceMappingURL=parts.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as PartsAPI from \"./parts.mjs\";\nimport { Parts } from \"./parts.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Uploads extends APIResource {\n constructor() {\n super(...arguments);\n this.parts = new PartsAPI.Parts(this._client);\n }\n /**\n * Creates an intermediate\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object\n * that you can add\n * [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.\n * Currently, an Upload can accept at most 8 GB in total and expires after an hour\n * after you create it.\n *\n * Once you complete the Upload, we will create a\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * contains all the parts you uploaded. This File is usable in the rest of our\n * platform as a regular File object.\n *\n * For certain `purpose` values, the correct `mime_type` must be specified. Please\n * refer to documentation for the\n * [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).\n *\n * For guidance on the proper filename extensions for each purpose, please follow\n * the documentation on\n * [creating a File](https://platform.openai.com/docs/api-reference/files/create).\n */\n create(body, options) {\n return this._client.post('/uploads', { body, ...options });\n }\n /**\n * Cancels the Upload. No Parts may be added after an Upload is cancelled.\n */\n cancel(uploadID, options) {\n return this._client.post(path `/uploads/${uploadID}/cancel`, options);\n }\n /**\n * Completes the\n * [Upload](https://platform.openai.com/docs/api-reference/uploads/object).\n *\n * Within the returned Upload object, there is a nested\n * [File](https://platform.openai.com/docs/api-reference/files/object) object that\n * is ready to use in the rest of the platform.\n *\n * You can specify the order of the Parts by passing in an ordered list of the Part\n * IDs.\n *\n * The number of bytes uploaded upon completion must match the number of bytes\n * initially specified when creating the Upload object. No Parts may be added after\n * an Upload is completed.\n */\n complete(uploadID, body, options) {\n return this._client.post(path `/uploads/${uploadID}/complete`, { body, ...options });\n }\n}\nUploads.Parts = Parts;\n//# sourceMappingURL=uploads.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils/sleep.mjs\";\nimport { allSettledWithThrow } from \"../../lib/Util.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class FileBatches extends APIResource {\n /**\n * Create a vector store file batch.\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/file_batches`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file batch.\n */\n retrieve(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/file_batches/${batchID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Cancel a vector store file batch. This attempts to cancel the processing of\n * files in this batch as soon as possible.\n */\n cancel(batchID, params, options) {\n const { vector_store_id } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/cancel`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Create a vector store batch and poll until all files have been processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const batch = await this.create(vectorStoreId, body);\n return await this.poll(vectorStoreId, batch.id, options);\n }\n /**\n * Returns a list of vector store files in a batch.\n */\n listFiles(batchID, params, options) {\n const { vector_store_id, ...query } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/file_batches/${batchID}/files`, (CursorPage), { query, ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n /**\n * Wait for the given file batch to be processed.\n *\n * Note: this will return even if one of the files failed to process, you need to\n * check batch.file_counts.failed_count to handle this case.\n */\n async poll(vectorStoreID, batchID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const { data: batch, response } = await this.retrieve(batchID, { vector_store_id: vectorStoreID }, {\n ...options,\n headers,\n }).withResponse();\n switch (batch.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'cancelled':\n case 'completed':\n return batch;\n }\n }\n }\n /**\n * Uploads the given files concurrently and then creates a vector store file batch.\n *\n * The concurrency limit is configurable using the `maxConcurrency` parameter.\n */\n async uploadAndPoll(vectorStoreId, { files, fileIds = [] }, options) {\n if (files == null || files.length == 0) {\n throw new Error(`No \\`files\\` provided to process. If you've already uploaded files you should use \\`.createAndPoll()\\` instead`);\n }\n const configuredConcurrency = options?.maxConcurrency ?? 5;\n // We cap the number of workers at the number of files (so we don't start any unnecessary workers)\n const concurrencyLimit = Math.min(configuredConcurrency, files.length);\n const client = this._client;\n const fileIterator = files.values();\n const allFileIds = [...fileIds];\n // This code is based on this design. The libraries don't accommodate our environment limits.\n // https://stackoverflow.com/questions/40639432/what-is-the-best-way-to-limit-concurrency-when-using-es6s-promise-all\n async function processFiles(iterator) {\n for (let item of iterator) {\n const fileObj = await client.files.create({ file: item, purpose: 'assistants' }, options);\n allFileIds.push(fileObj.id);\n }\n }\n // Start workers to process results\n const workers = Array(concurrencyLimit).fill(fileIterator).map(processFiles);\n // Wait for all processing to complete.\n await allSettledWithThrow(workers);\n return await this.createAndPoll(vectorStoreId, {\n file_ids: allFileIds,\n });\n }\n}\n//# sourceMappingURL=file-batches.mjs.map","/**\n * Like `Promise.allSettled()` but throws an error if any promises are rejected.\n */\nexport const allSettledWithThrow = async (promises) => {\n const results = await Promise.allSettled(promises);\n const rejected = results.filter((result) => result.status === 'rejected');\n if (rejected.length) {\n for (const result of rejected) {\n console.error(result.reason);\n }\n throw new Error(`${rejected.length} promise(s) failed - see the above errors`);\n }\n // Note: TS was complaining about using `.filter().map()` here for some reason\n const values = [];\n for (const result of results) {\n if (result.status === 'fulfilled') {\n values.push(result.value);\n }\n }\n return values;\n};\n//# sourceMappingURL=Util.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { sleep } from \"../../internal/utils.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class Files extends APIResource {\n /**\n * Create a vector store file by attaching a\n * [File](https://platform.openai.com/docs/api-reference/files) to a\n * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).\n */\n create(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}/files`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store file.\n */\n retrieve(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.get(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Update attributes on a vector store file.\n */\n update(fileID, params, options) {\n const { vector_store_id, ...body } = params;\n return this._client.post(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector store files.\n */\n list(vectorStoreID, query = {}, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/files`, (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store file. This will remove the file from the vector store but\n * the file itself will not be deleted. To delete the file, use the\n * [delete file](https://platform.openai.com/docs/api-reference/files/delete)\n * endpoint.\n */\n delete(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.delete(path `/vector_stores/${vector_store_id}/files/${fileID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Attach a file to the given vector store and wait for it to be processed.\n */\n async createAndPoll(vectorStoreId, body, options) {\n const file = await this.create(vectorStoreId, body, options);\n return await this.poll(vectorStoreId, file.id, options);\n }\n /**\n * Wait for the vector store file to finish processing.\n *\n * Note: this will return even if the file failed to process, you need to check\n * file.last_error and file.status to handle these cases\n */\n async poll(vectorStoreID, fileID, options) {\n const headers = buildHeaders([\n options?.headers,\n {\n 'X-Stainless-Poll-Helper': 'true',\n 'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,\n },\n ]);\n while (true) {\n const fileResponse = await this.retrieve(fileID, {\n vector_store_id: vectorStoreID,\n }, { ...options, headers }).withResponse();\n const file = fileResponse.data;\n switch (file.status) {\n case 'in_progress':\n let sleepInterval = 5000;\n if (options?.pollIntervalMs) {\n sleepInterval = options.pollIntervalMs;\n }\n else {\n const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms');\n if (headerInterval) {\n const headerIntervalMs = parseInt(headerInterval);\n if (!isNaN(headerIntervalMs)) {\n sleepInterval = headerIntervalMs;\n }\n }\n }\n await sleep(sleepInterval);\n break;\n case 'failed':\n case 'completed':\n return file;\n }\n }\n }\n /**\n * Upload a file to the `files` API and then attach it to the given vector store.\n *\n * Note the file will be asynchronously processed (you can use the alternative\n * polling helper method to wait for processing to complete).\n */\n async upload(vectorStoreId, file, options) {\n const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options);\n return this.create(vectorStoreId, { file_id: fileInfo.id }, options);\n }\n /**\n * Add a file to a vector store and poll until processing is complete.\n */\n async uploadAndPoll(vectorStoreId, file, options) {\n const fileInfo = await this.upload(vectorStoreId, file, options);\n return await this.poll(vectorStoreId, fileInfo.id, options);\n }\n /**\n * Retrieve the parsed contents of a vector store file.\n */\n content(fileID, params, options) {\n const { vector_store_id } = params;\n return this._client.getAPIList(path `/vector_stores/${vector_store_id}/files/${fileID}/content`, (Page), { ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });\n }\n}\n//# sourceMappingURL=files.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nimport { APIResource } from \"../../core/resource.mjs\";\nimport * as FileBatchesAPI from \"./file-batches.mjs\";\nimport { FileBatches, } from \"./file-batches.mjs\";\nimport * as FilesAPI from \"./files.mjs\";\nimport { Files, } from \"./files.mjs\";\nimport { CursorPage, Page } from \"../../core/pagination.mjs\";\nimport { buildHeaders } from \"../../internal/headers.mjs\";\nimport { path } from \"../../internal/utils/path.mjs\";\nexport class VectorStores extends APIResource {\n constructor() {\n super(...arguments);\n this.files = new FilesAPI.Files(this._client);\n this.fileBatches = new FileBatchesAPI.FileBatches(this._client);\n }\n /**\n * Create a vector store.\n */\n create(body, options) {\n return this._client.post('/vector_stores', {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Retrieves a vector store.\n */\n retrieve(vectorStoreID, options) {\n return this._client.get(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Modifies a vector store.\n */\n update(vectorStoreID, body, options) {\n return this._client.post(path `/vector_stores/${vectorStoreID}`, {\n body,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Returns a list of vector stores.\n */\n list(query = {}, options) {\n return this._client.getAPIList('/vector_stores', (CursorPage), {\n query,\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Delete a vector store.\n */\n delete(vectorStoreID, options) {\n return this._client.delete(path `/vector_stores/${vectorStoreID}`, {\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n /**\n * Search a vector store for relevant chunks based on a query and file attributes\n * filter.\n */\n search(vectorStoreID, body, options) {\n return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/search`, (Page), {\n body,\n method: 'post',\n ...options,\n headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),\n });\n }\n}\nVectorStores.Files = Files;\nVectorStores.FileBatches = FileBatches;\n//# sourceMappingURL=vector-stores.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _Webhooks_instances, _Webhooks_validateSecret, _Webhooks_getRequiredHeader;\nimport { __classPrivateFieldGet } from \"../internal/tslib.mjs\";\nimport { InvalidWebhookSignatureError } from \"../error.mjs\";\nimport { APIResource } from \"../core/resource.mjs\";\nimport { buildHeaders } from \"../internal/headers.mjs\";\nexport class Webhooks extends APIResource {\n constructor() {\n super(...arguments);\n _Webhooks_instances.add(this);\n }\n /**\n * Validates that the given payload was sent by OpenAI and parses the payload.\n */\n async unwrap(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n await this.verifySignature(payload, headers, secret, tolerance);\n return JSON.parse(payload);\n }\n /**\n * Validates whether or not the webhook payload was sent by OpenAI.\n *\n * An error will be raised if the webhook payload was not sent by OpenAI.\n *\n * @param payload - The webhook payload\n * @param headers - The webhook headers\n * @param secret - The webhook secret (optional, will use client secret if not provided)\n * @param tolerance - Maximum age of the webhook in seconds (default: 300 = 5 minutes)\n */\n async verifySignature(payload, headers, secret = this._client.webhookSecret, tolerance = 300) {\n if (typeof crypto === 'undefined' ||\n typeof crypto.subtle.importKey !== 'function' ||\n typeof crypto.subtle.verify !== 'function') {\n throw new Error('Webhook signature verification is only supported when the `crypto` global is defined');\n }\n __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_validateSecret).call(this, secret);\n const headersObj = buildHeaders([headers]).values;\n const signatureHeader = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-signature');\n const timestamp = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-timestamp');\n const webhookId = __classPrivateFieldGet(this, _Webhooks_instances, \"m\", _Webhooks_getRequiredHeader).call(this, headersObj, 'webhook-id');\n // Validate timestamp to prevent replay attacks\n const timestampSeconds = parseInt(timestamp, 10);\n if (isNaN(timestampSeconds)) {\n throw new InvalidWebhookSignatureError('Invalid webhook timestamp format');\n }\n const nowSeconds = Math.floor(Date.now() / 1000);\n if (nowSeconds - timestampSeconds > tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too old');\n }\n if (timestampSeconds > nowSeconds + tolerance) {\n throw new InvalidWebhookSignatureError('Webhook timestamp is too new');\n }\n // Extract signatures from v1, format\n // The signature header can have multiple values, separated by spaces.\n // Each value is in the format v1,. We should accept if any match.\n const signatures = signatureHeader\n .split(' ')\n .map((part) => (part.startsWith('v1,') ? part.substring(3) : part));\n // Decode the secret if it starts with whsec_\n const decodedSecret = secret.startsWith('whsec_') ?\n Buffer.from(secret.replace('whsec_', ''), 'base64')\n : Buffer.from(secret, 'utf-8');\n // Create the signed payload: {webhook_id}.{timestamp}.{payload}\n const signedPayload = webhookId ? `${webhookId}.${timestamp}.${payload}` : `${timestamp}.${payload}`;\n // Import the secret as a cryptographic key for HMAC\n const key = await crypto.subtle.importKey('raw', decodedSecret, { name: 'HMAC', hash: 'SHA-256' }, false, ['verify']);\n // Check if any signature matches using timing-safe WebCrypto verify\n for (const signature of signatures) {\n try {\n const signatureBytes = Buffer.from(signature, 'base64');\n const isValid = await crypto.subtle.verify('HMAC', key, signatureBytes, new TextEncoder().encode(signedPayload));\n if (isValid) {\n return; // Valid signature found\n }\n }\n catch {\n // Invalid base64 or signature format, continue to next signature\n continue;\n }\n }\n throw new InvalidWebhookSignatureError('The given webhook signature does not match the expected signature');\n }\n}\n_Webhooks_instances = new WeakSet(), _Webhooks_validateSecret = function _Webhooks_validateSecret(secret) {\n if (typeof secret !== 'string' || secret.length === 0) {\n throw new Error(`The webhook secret must either be set using the env var, OPENAI_WEBHOOK_SECRET, on the client class, OpenAI({ webhookSecret: '123' }), or passed to this function`);\n }\n}, _Webhooks_getRequiredHeader = function _Webhooks_getRequiredHeader(headers, name) {\n if (!headers) {\n throw new Error(`Headers are required`);\n }\n const value = headers.get(name);\n if (value === null || value === undefined) {\n throw new Error(`Missing required header: ${name}`);\n }\n return value;\n};\n//# sourceMappingURL=webhooks.mjs.map","// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.\nvar _OpenAI_instances, _a, _OpenAI_encoder, _OpenAI_baseURLOverridden;\nimport { __classPrivateFieldGet, __classPrivateFieldSet } from \"./internal/tslib.mjs\";\nimport { uuid4 } from \"./internal/utils/uuid.mjs\";\nimport { validatePositiveInteger, isAbsoluteURL, safeJSON } from \"./internal/utils/values.mjs\";\nimport { sleep } from \"./internal/utils/sleep.mjs\";\nimport { castToError, isAbortError } from \"./internal/errors.mjs\";\nimport { getPlatformHeaders } from \"./internal/detect-platform.mjs\";\nimport * as Shims from \"./internal/shims.mjs\";\nimport * as Opts from \"./internal/request-options.mjs\";\nimport * as qs from \"./internal/qs/index.mjs\";\nimport { VERSION } from \"./version.mjs\";\nimport * as Errors from \"./core/error.mjs\";\nimport * as Pagination from \"./core/pagination.mjs\";\nimport * as Uploads from \"./core/uploads.mjs\";\nimport * as API from \"./resources/index.mjs\";\nimport { APIPromise } from \"./core/api-promise.mjs\";\nimport { Batches, } from \"./resources/batches.mjs\";\nimport { Completions, } from \"./resources/completions.mjs\";\nimport { Embeddings, } from \"./resources/embeddings.mjs\";\nimport { Files, } from \"./resources/files.mjs\";\nimport { Images, } from \"./resources/images.mjs\";\nimport { Models } from \"./resources/models.mjs\";\nimport { Moderations, } from \"./resources/moderations.mjs\";\nimport { Webhooks } from \"./resources/webhooks.mjs\";\nimport { Audio } from \"./resources/audio/audio.mjs\";\nimport { Beta } from \"./resources/beta/beta.mjs\";\nimport { Chat } from \"./resources/chat/chat.mjs\";\nimport { Containers, } from \"./resources/containers/containers.mjs\";\nimport { Conversations } from \"./resources/conversations/conversations.mjs\";\nimport { Evals, } from \"./resources/evals/evals.mjs\";\nimport { FineTuning } from \"./resources/fine-tuning/fine-tuning.mjs\";\nimport { Graders } from \"./resources/graders/graders.mjs\";\nimport { Realtime } from \"./resources/realtime/realtime.mjs\";\nimport { Responses } from \"./resources/responses/responses.mjs\";\nimport { Uploads as UploadsAPIUploads, } from \"./resources/uploads/uploads.mjs\";\nimport { VectorStores, } from \"./resources/vector-stores/vector-stores.mjs\";\nimport { isRunningInBrowser } from \"./internal/detect-platform.mjs\";\nimport { buildHeaders } from \"./internal/headers.mjs\";\nimport { readEnv } from \"./internal/utils/env.mjs\";\nimport { formatRequestDetails, loggerFor, parseLogLevel, } from \"./internal/utils/log.mjs\";\nimport { isEmptyObj } from \"./internal/utils/values.mjs\";\n/**\n * API Client for interfacing with the OpenAI API.\n */\nexport class OpenAI {\n /**\n * API Client for interfacing with the OpenAI API.\n *\n * @param {string | undefined} [opts.apiKey=process.env['OPENAI_API_KEY'] ?? undefined]\n * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null]\n * @param {string | null | undefined} [opts.project=process.env['OPENAI_PROJECT_ID'] ?? null]\n * @param {string | null | undefined} [opts.webhookSecret=process.env['OPENAI_WEBHOOK_SECRET'] ?? null]\n * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL'] ?? https://api.openai.com/v1] - Override the default base URL for the API.\n * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.\n * @param {MergedRequestInit} [opts.fetchOptions] - Additional `RequestInit` options to be passed to `fetch` calls.\n * @param {Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.\n * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.\n * @param {HeadersLike} opts.defaultHeaders - Default headers to include with every request to the API.\n * @param {Record} opts.defaultQuery - Default query parameters to include with every request to the API.\n * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.\n */\n constructor({ baseURL = readEnv('OPENAI_BASE_URL'), apiKey = readEnv('OPENAI_API_KEY'), organization = readEnv('OPENAI_ORG_ID') ?? null, project = readEnv('OPENAI_PROJECT_ID') ?? null, webhookSecret = readEnv('OPENAI_WEBHOOK_SECRET') ?? null, ...opts } = {}) {\n _OpenAI_instances.add(this);\n _OpenAI_encoder.set(this, void 0);\n this.completions = new API.Completions(this);\n this.chat = new API.Chat(this);\n this.embeddings = new API.Embeddings(this);\n this.files = new API.Files(this);\n this.images = new API.Images(this);\n this.audio = new API.Audio(this);\n this.moderations = new API.Moderations(this);\n this.models = new API.Models(this);\n this.fineTuning = new API.FineTuning(this);\n this.graders = new API.Graders(this);\n this.vectorStores = new API.VectorStores(this);\n this.webhooks = new API.Webhooks(this);\n this.beta = new API.Beta(this);\n this.batches = new API.Batches(this);\n this.uploads = new API.Uploads(this);\n this.responses = new API.Responses(this);\n this.realtime = new API.Realtime(this);\n this.conversations = new API.Conversations(this);\n this.evals = new API.Evals(this);\n this.containers = new API.Containers(this);\n if (apiKey === undefined) {\n throw new Errors.OpenAIError('Missing credentials. Please pass an `apiKey`, or set the `OPENAI_API_KEY` environment variable.');\n }\n const options = {\n apiKey,\n organization,\n project,\n webhookSecret,\n ...opts,\n baseURL: baseURL || `https://api.openai.com/v1`,\n };\n if (!options.dangerouslyAllowBrowser && isRunningInBrowser()) {\n throw new Errors.OpenAIError(\"It looks like you're running in a browser-like environment.\\n\\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\\nIf you understand the risks and have appropriate mitigations in place,\\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\\n\\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\\n\\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\\n\");\n }\n this.baseURL = options.baseURL;\n this.timeout = options.timeout ?? _a.DEFAULT_TIMEOUT /* 10 minutes */;\n this.logger = options.logger ?? console;\n const defaultLogLevel = 'warn';\n // Set default logLevel early so that we can log a warning in parseLogLevel.\n this.logLevel = defaultLogLevel;\n this.logLevel =\n parseLogLevel(options.logLevel, 'ClientOptions.logLevel', this) ??\n parseLogLevel(readEnv('OPENAI_LOG'), \"process.env['OPENAI_LOG']\", this) ??\n defaultLogLevel;\n this.fetchOptions = options.fetchOptions;\n this.maxRetries = options.maxRetries ?? 2;\n this.fetch = options.fetch ?? Shims.getDefaultFetch();\n __classPrivateFieldSet(this, _OpenAI_encoder, Opts.FallbackEncoder, \"f\");\n this._options = options;\n this.apiKey = typeof apiKey === 'string' ? apiKey : 'Missing Key';\n this.organization = organization;\n this.project = project;\n this.webhookSecret = webhookSecret;\n }\n /**\n * Create a new client instance re-using the same options given to the current client with optional overriding.\n */\n withOptions(options) {\n const client = new this.constructor({\n ...this._options,\n baseURL: this.baseURL,\n maxRetries: this.maxRetries,\n timeout: this.timeout,\n logger: this.logger,\n logLevel: this.logLevel,\n fetch: this.fetch,\n fetchOptions: this.fetchOptions,\n apiKey: this.apiKey,\n organization: this.organization,\n project: this.project,\n webhookSecret: this.webhookSecret,\n ...options,\n });\n return client;\n }\n defaultQuery() {\n return this._options.defaultQuery;\n }\n validateHeaders({ values, nulls }) {\n return;\n }\n async authHeaders(opts) {\n return buildHeaders([{ Authorization: `Bearer ${this.apiKey}` }]);\n }\n stringifyQuery(query) {\n return qs.stringify(query, { arrayFormat: 'brackets' });\n }\n getUserAgent() {\n return `${this.constructor.name}/JS ${VERSION}`;\n }\n defaultIdempotencyKey() {\n return `stainless-node-retry-${uuid4()}`;\n }\n makeStatusError(status, error, message, headers) {\n return Errors.APIError.generate(status, error, message, headers);\n }\n async _callApiKey() {\n const apiKey = this._options.apiKey;\n if (typeof apiKey !== 'function')\n return false;\n let token;\n try {\n token = await apiKey();\n }\n catch (err) {\n if (err instanceof Errors.OpenAIError)\n throw err;\n throw new Errors.OpenAIError(`Failed to get token from 'apiKey' function: ${err.message}`, \n // @ts-ignore\n { cause: err });\n }\n if (typeof token !== 'string' || !token) {\n throw new Errors.OpenAIError(`Expected 'apiKey' function argument to return a string but it returned ${token}`);\n }\n this.apiKey = token;\n return true;\n }\n buildURL(path, query, defaultBaseURL) {\n const baseURL = (!__classPrivateFieldGet(this, _OpenAI_instances, \"m\", _OpenAI_baseURLOverridden).call(this) && defaultBaseURL) || this.baseURL;\n const url = isAbsoluteURL(path) ?\n new URL(path)\n : new URL(baseURL + (baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path));\n const defaultQuery = this.defaultQuery();\n if (!isEmptyObj(defaultQuery)) {\n query = { ...defaultQuery, ...query };\n }\n if (typeof query === 'object' && query && !Array.isArray(query)) {\n url.search = this.stringifyQuery(query);\n }\n return url.toString();\n }\n /**\n * Used as a callback for mutating the given `FinalRequestOptions` object.\n */\n async prepareOptions(options) {\n await this._callApiKey();\n }\n /**\n * Used as a callback for mutating the given `RequestInit` object.\n *\n * This is useful for cases where you want to add certain headers based off of\n * the request properties, e.g. `method` or `url`.\n */\n async prepareRequest(request, { url, options }) { }\n get(path, opts) {\n return this.methodRequest('get', path, opts);\n }\n post(path, opts) {\n return this.methodRequest('post', path, opts);\n }\n patch(path, opts) {\n return this.methodRequest('patch', path, opts);\n }\n put(path, opts) {\n return this.methodRequest('put', path, opts);\n }\n delete(path, opts) {\n return this.methodRequest('delete', path, opts);\n }\n methodRequest(method, path, opts) {\n return this.request(Promise.resolve(opts).then((opts) => {\n return { method, path, ...opts };\n }));\n }\n request(options, remainingRetries = null) {\n return new APIPromise(this, this.makeRequest(options, remainingRetries, undefined));\n }\n async makeRequest(optionsInput, retriesRemaining, retryOfRequestLogID) {\n const options = await optionsInput;\n const maxRetries = options.maxRetries ?? this.maxRetries;\n if (retriesRemaining == null) {\n retriesRemaining = maxRetries;\n }\n await this.prepareOptions(options);\n const { req, url, timeout } = await this.buildRequest(options, {\n retryCount: maxRetries - retriesRemaining,\n });\n await this.prepareRequest(req, { url, options });\n /** Not an API request ID, just for correlating local log entries. */\n const requestLogID = 'log_' + ((Math.random() * (1 << 24)) | 0).toString(16).padStart(6, '0');\n const retryLogStr = retryOfRequestLogID === undefined ? '' : `, retryOf: ${retryOfRequestLogID}`;\n const startTime = Date.now();\n loggerFor(this).debug(`[${requestLogID}] sending request`, formatRequestDetails({\n retryOfRequestLogID,\n method: options.method,\n url,\n options,\n headers: req.headers,\n }));\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n const controller = new AbortController();\n const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError);\n const headersTime = Date.now();\n if (response instanceof globalThis.Error) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n if (options.signal?.aborted) {\n throw new Errors.APIUserAbortError();\n }\n // detect native connection timeout errors\n // deno throws \"TypeError: error sending request for url (https://example/): client error (Connect): tcp connect error: Operation timed out (os error 60): Operation timed out (os error 60)\"\n // undici throws \"TypeError: fetch failed\" with cause \"ConnectTimeoutError: Connect Timeout Error (attempted address: example:443, timeout: 1ms)\"\n // others do not provide enough information to distinguish timeouts from other connection errors\n const isTimeout = isAbortError(response) ||\n /timed? ?out/i.test(String(response) + ('cause' in response ? String(response.cause) : ''));\n if (retriesRemaining) {\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID);\n }\n loggerFor(this).info(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} - error; no more retries left`);\n loggerFor(this).debug(`[${requestLogID}] connection ${isTimeout ? 'timed out' : 'failed'} (error; no more retries left)`, formatRequestDetails({\n retryOfRequestLogID,\n url,\n durationMs: headersTime - startTime,\n message: response.message,\n }));\n if (isTimeout) {\n throw new Errors.APIConnectionTimeoutError();\n }\n throw new Errors.APIConnectionError({ cause: response });\n }\n const specialHeaders = [...response.headers.entries()]\n .filter(([name]) => name === 'x-request-id')\n .map(([name, value]) => ', ' + name + ': ' + JSON.stringify(value))\n .join('');\n const responseInfo = `[${requestLogID}${retryLogStr}${specialHeaders}] ${req.method} ${url} ${response.ok ? 'succeeded' : 'failed'} with status ${response.status} in ${headersTime - startTime}ms`;\n if (!response.ok) {\n const shouldRetry = await this.shouldRetry(response);\n if (retriesRemaining && shouldRetry) {\n const retryMessage = `retrying, ${retriesRemaining} attempts remaining`;\n // We don't need the body of this response.\n await Shims.CancelReadableStream(response.body);\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return this.retryRequest(options, retriesRemaining, retryOfRequestLogID ?? requestLogID, response.headers);\n }\n const retryMessage = shouldRetry ? `error; no more retries left` : `error; not retryable`;\n loggerFor(this).info(`${responseInfo} - ${retryMessage}`);\n const errText = await response.text().catch((err) => castToError(err).message);\n const errJSON = safeJSON(errText);\n const errMessage = errJSON ? undefined : errText;\n loggerFor(this).debug(`[${requestLogID}] response error (${retryMessage})`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n message: errMessage,\n durationMs: Date.now() - startTime,\n }));\n const err = this.makeStatusError(response.status, errJSON, errMessage, response.headers);\n throw err;\n }\n loggerFor(this).info(responseInfo);\n loggerFor(this).debug(`[${requestLogID}] response start`, formatRequestDetails({\n retryOfRequestLogID,\n url: response.url,\n status: response.status,\n headers: response.headers,\n durationMs: headersTime - startTime,\n }));\n return { response, options, controller, requestLogID, retryOfRequestLogID, startTime };\n }\n getAPIList(path, Page, opts) {\n return this.requestAPIList(Page, { method: 'get', path, ...opts });\n }\n requestAPIList(Page, options) {\n const request = this.makeRequest(options, null, undefined);\n return new Pagination.PagePromise(this, request, Page);\n }\n async fetchWithTimeout(url, init, ms, controller) {\n const { signal, method, ...options } = init || {};\n if (signal)\n signal.addEventListener('abort', () => controller.abort());\n const timeout = setTimeout(() => controller.abort(), ms);\n const isReadableBody = (globalThis.ReadableStream && options.body instanceof globalThis.ReadableStream) ||\n (typeof options.body === 'object' && options.body !== null && Symbol.asyncIterator in options.body);\n const fetchOptions = {\n signal: controller.signal,\n ...(isReadableBody ? { duplex: 'half' } : {}),\n method: 'GET',\n ...options,\n };\n if (method) {\n // Custom methods like 'patch' need to be uppercased\n // See https://github.com/nodejs/undici/issues/2294\n fetchOptions.method = method.toUpperCase();\n }\n try {\n // use undefined this binding; fetch errors if bound to something else in browser/cloudflare\n return await this.fetch.call(undefined, url, fetchOptions);\n }\n finally {\n clearTimeout(timeout);\n }\n }\n async shouldRetry(response) {\n // Note this is not a standard header.\n const shouldRetryHeader = response.headers.get('x-should-retry');\n // If the server explicitly says whether or not to retry, obey.\n if (shouldRetryHeader === 'true')\n return true;\n if (shouldRetryHeader === 'false')\n return false;\n // Retry on request timeouts.\n if (response.status === 408)\n return true;\n // Retry on lock timeouts.\n if (response.status === 409)\n return true;\n // Retry on rate limits.\n if (response.status === 429)\n return true;\n // Retry internal errors.\n if (response.status >= 500)\n return true;\n return false;\n }\n async retryRequest(options, retriesRemaining, requestLogID, responseHeaders) {\n let timeoutMillis;\n // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it.\n const retryAfterMillisHeader = responseHeaders?.get('retry-after-ms');\n if (retryAfterMillisHeader) {\n const timeoutMs = parseFloat(retryAfterMillisHeader);\n if (!Number.isNaN(timeoutMs)) {\n timeoutMillis = timeoutMs;\n }\n }\n // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After\n const retryAfterHeader = responseHeaders?.get('retry-after');\n if (retryAfterHeader && !timeoutMillis) {\n const timeoutSeconds = parseFloat(retryAfterHeader);\n if (!Number.isNaN(timeoutSeconds)) {\n timeoutMillis = timeoutSeconds * 1000;\n }\n else {\n timeoutMillis = Date.parse(retryAfterHeader) - Date.now();\n }\n }\n // If the API asks us to wait a certain amount of time (and it's a reasonable amount),\n // just do what it says, but otherwise calculate a default\n if (!(timeoutMillis && 0 <= timeoutMillis && timeoutMillis < 60 * 1000)) {\n const maxRetries = options.maxRetries ?? this.maxRetries;\n timeoutMillis = this.calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries);\n }\n await sleep(timeoutMillis);\n return this.makeRequest(options, retriesRemaining - 1, requestLogID);\n }\n calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries) {\n const initialRetryDelay = 0.5;\n const maxRetryDelay = 8.0;\n const numRetries = maxRetries - retriesRemaining;\n // Apply exponential backoff, but not more than the max.\n const sleepSeconds = Math.min(initialRetryDelay * Math.pow(2, numRetries), maxRetryDelay);\n // Apply some jitter, take up to at most 25 percent of the retry time.\n const jitter = 1 - Math.random() * 0.25;\n return sleepSeconds * jitter * 1000;\n }\n async buildRequest(inputOptions, { retryCount = 0 } = {}) {\n const options = { ...inputOptions };\n const { method, path, query, defaultBaseURL } = options;\n const url = this.buildURL(path, query, defaultBaseURL);\n if ('timeout' in options)\n validatePositiveInteger('timeout', options.timeout);\n options.timeout = 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\ No newline at end of file diff --git a/extension/popup/style.css b/extension/popup/style.css index 60a1936..f3fabe2 100644 --- a/extension/popup/style.css +++ b/extension/popup/style.css @@ -1,194 +1,1091 @@ -@font-face { - font-family: Segeo UI; - src: url(../../fonts/Segoe\ UI.ttf); +*, ::before, ::after { + --tw-border-spacing-x: 0; + --tw-border-spacing-y: 0; + --tw-translate-x: 0; + --tw-translate-y: 0; + --tw-rotate: 0; + --tw-skew-x: 0; + --tw-skew-y: 0; + --tw-scale-x: 1; + --tw-scale-y: 1; + --tw-pan-x: ; + --tw-pan-y: ; + --tw-pinch-zoom: ; + --tw-scroll-snap-strictness: proximity; + --tw-gradient-from-position: ; + --tw-gradient-via-position: ; + --tw-gradient-to-position: ; + --tw-ordinal: ; + --tw-slashed-zero: ; + --tw-numeric-figure: ; + --tw-numeric-spacing: ; + --tw-numeric-fraction: ; + --tw-ring-inset: ; + --tw-ring-offset-width: 0px; + --tw-ring-offset-color: #fff; + --tw-ring-color: rgb(59 130 246 / 0.5); + --tw-ring-offset-shadow: 0 0 #0000; + --tw-ring-shadow: 0 0 #0000; + --tw-shadow: 0 0 #0000; + --tw-shadow-colored: 0 0 #0000; + --tw-blur: ; + --tw-brightness: ; + --tw-contrast: ; + --tw-grayscale: ; + --tw-hue-rotate: ; + --tw-invert: ; + --tw-saturate: ; + --tw-sepia: ; + --tw-drop-shadow: ; + --tw-backdrop-blur: ; + --tw-backdrop-brightness: ; + --tw-backdrop-contrast: ; + --tw-backdrop-grayscale: ; + --tw-backdrop-hue-rotate: ; + --tw-backdrop-invert: ; + --tw-backdrop-opacity: ; + --tw-backdrop-saturate: ; + --tw-backdrop-sepia: ; + --tw-contain-size: ; + --tw-contain-layout: ; + --tw-contain-paint: ; + --tw-contain-style: ; } -:root { - --bg-color: #121212; - --color: #fff; - --btn-color: #7f39fb; +::backdrop { + --tw-border-spacing-x: 0; + --tw-border-spacing-y: 0; + --tw-translate-x: 0; + --tw-translate-y: 0; + --tw-rotate: 0; + --tw-skew-x: 0; + --tw-skew-y: 0; + --tw-scale-x: 1; + --tw-scale-y: 1; + --tw-pan-x: ; + --tw-pan-y: ; + --tw-pinch-zoom: ; + --tw-scroll-snap-strictness: proximity; + --tw-gradient-from-position: ; + --tw-gradient-via-position: ; + --tw-gradient-to-position: ; + --tw-ordinal: ; + --tw-slashed-zero: ; + --tw-numeric-figure: ; + --tw-numeric-spacing: ; + --tw-numeric-fraction: ; + --tw-ring-inset: ; + --tw-ring-offset-width: 0px; + --tw-ring-offset-color: #fff; + --tw-ring-color: rgb(59 130 246 / 0.5); + --tw-ring-offset-shadow: 0 0 #0000; + --tw-ring-shadow: 0 0 #0000; + --tw-shadow: 0 0 #0000; + --tw-shadow-colored: 0 0 #0000; + --tw-blur: ; + --tw-brightness: ; + --tw-contrast: ; + --tw-grayscale: ; + --tw-hue-rotate: ; + --tw-invert: ; + --tw-saturate: ; + --tw-sepia: ; + --tw-drop-shadow: ; + --tw-backdrop-blur: ; + --tw-backdrop-brightness: ; + --tw-backdrop-contrast: ; + --tw-backdrop-grayscale: ; + --tw-backdrop-hue-rotate: ; + --tw-backdrop-invert: ; + --tw-backdrop-opacity: ; + --tw-backdrop-saturate: ; + --tw-backdrop-sepia: ; + --tw-contain-size: ; + --tw-contain-layout: ; + --tw-contain-paint: ; + --tw-contain-style: ; } -* { +/* +! tailwindcss v3.4.19 | MIT License | https://tailwindcss.com +*/ + +/* +1. Prevent padding and border from affecting element width. (https://github.com/mozdevs/cssremedy/issues/4) +2. Allow adding a border to an element by just adding a border-width. (https://github.com/tailwindcss/tailwindcss/pull/116) +*/ + +*, +::before, +::after { box-sizing: border-box; - padding: 0; + /* 1 */ + border-width: 0; + /* 2 */ + border-style: solid; + /* 2 */ + border-color: #e5e7eb; + /* 2 */ +} + +::before, +::after { + --tw-content: ''; +} + +/* +1. Use a consistent sensible line-height in all browsers. +2. Prevent adjustments of font size after orientation changes in iOS. +3. Use a more readable tab size. +4. Use the user's configured `sans` font-family by default. +5. Use the user's configured `sans` font-feature-settings by default. +6. Use the user's configured `sans` font-variation-settings by default. +7. Disable tap highlights on iOS +*/ + +html, +:host { + line-height: 1.5; + /* 1 */ + -webkit-text-size-adjust: 100%; + /* 2 */ + -moz-tab-size: 4; + /* 3 */ + -o-tab-size: 4; + tab-size: 4; + /* 3 */ + font-family: Inter, -apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica, Arial, sans-serif; + /* 4 */ + font-feature-settings: normal; + /* 5 */ + font-variation-settings: normal; + /* 6 */ + -webkit-tap-highlight-color: transparent; + /* 7 */ +} + +/* +1. Remove the margin in all browsers. +2. Inherit line-height from `html` so users can set them as a class directly on the `html` element. +*/ + +body { margin: 0; - font-family: 'Segeo UI', sans-serif; - color: var(--color); + /* 1 */ + line-height: inherit; + /* 2 */ +} + +/* +1. Add the correct height in Firefox. +2. Correct the inheritance of border color in Firefox. (https://bugzilla.mozilla.org/show_bug.cgi?id=190655) +3. Ensure horizontal rules are visible by default. +*/ + +hr { + height: 0; + /* 1 */ + color: inherit; + /* 2 */ + border-top-width: 1px; + /* 3 */ +} + +/* +Add the correct text decoration in Chrome, Edge, and Safari. +*/ + +abbr:where([title]) { + -webkit-text-decoration: underline dotted; + text-decoration: underline dotted; +} + +/* +Remove the default font size and weight for headings. +*/ + +h1, +h2, +h3, +h4, +h5, +h6 { + font-size: inherit; + font-weight: inherit; +} + +/* +Reset links to optimize for opt-in styling instead of opt-out. +*/ + +a { + color: inherit; + text-decoration: inherit; +} + +/* +Add the correct font weight in Edge and Safari. +*/ + +b, +strong { + font-weight: bolder; +} + +/* +1. Use the user's configured `mono` font-family by default. +2. Use the user's configured `mono` font-feature-settings by default. +3. Use the user's configured `mono` font-variation-settings by default. +4. Correct the odd `em` font sizing in all browsers. +*/ + +code, +kbd, +samp, +pre { + font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; + /* 1 */ + font-feature-settings: normal; + /* 2 */ + font-variation-settings: normal; + /* 3 */ + font-size: 1em; + /* 4 */ +} + +/* +Add the correct font size in all browsers. +*/ + +small { + font-size: 80%; +} + +/* +Prevent `sub` and `sup` elements from affecting the line height in all browsers. +*/ + +sub, +sup { + font-size: 75%; + line-height: 0; + position: relative; + vertical-align: baseline; +} + +sub { + bottom: -0.25em; +} + +sup { + top: -0.5em; +} + +/* +1. Remove text indentation from table contents in Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=999088, https://bugs.webkit.org/show_bug.cgi?id=201297) +2. Correct table border color inheritance in all Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=935729, https://bugs.webkit.org/show_bug.cgi?id=195016) +3. Remove gaps between table borders by default. +*/ + +table { + text-indent: 0; + /* 1 */ + border-color: inherit; + /* 2 */ + border-collapse: collapse; + /* 3 */ +} + +/* +1. Change the font styles in all browsers. +2. Remove the margin in Firefox and Safari. +3. Remove default padding in all browsers. +*/ + +button, +input, +optgroup, +select, +textarea { + font-family: inherit; + /* 1 */ + font-feature-settings: inherit; + /* 1 */ + font-variation-settings: inherit; + /* 1 */ + font-size: 100%; + /* 1 */ + font-weight: inherit; + /* 1 */ + line-height: inherit; + /* 1 */ + letter-spacing: inherit; + /* 1 */ + color: inherit; + /* 1 */ + margin: 0; + /* 2 */ + padding: 0; + /* 3 */ +} + +/* +Remove the inheritance of text transform in Edge and Firefox. +*/ + +button, +select { + text-transform: none; +} + +/* +1. Correct the inability to style clickable types in iOS and Safari. +2. Remove default button styles. +*/ + +button, +input:where([type='button']), +input:where([type='reset']), +input:where([type='submit']) { + -webkit-appearance: button; + /* 1 */ + background-color: transparent; + /* 2 */ + background-image: none; + /* 2 */ +} + +/* +Use the modern Firefox focus style for all focusable elements. +*/ + +:-moz-focusring { + outline: auto; +} + +/* +Remove the additional `:invalid` styles in Firefox. (https://github.com/mozilla/gecko-dev/blob/2f9eacd9d3d995c937b4251a5557d95d494c9be1/layout/style/res/forms.css#L728-L737) +*/ + +:-moz-ui-invalid { + box-shadow: none; +} + +/* +Add the correct vertical alignment in Chrome and Firefox. +*/ + +progress { + vertical-align: baseline; +} + +/* +Correct the cursor style of increment and decrement buttons in Safari. +*/ + +::-webkit-inner-spin-button, +::-webkit-outer-spin-button { + height: auto; +} + +/* +1. Correct the odd appearance in Chrome and Safari. +2. Correct the outline style in Safari. +*/ + +[type='search'] { + -webkit-appearance: textfield; + /* 1 */ + outline-offset: -2px; + /* 2 */ +} + +/* +Remove the inner padding in Chrome and Safari on macOS. +*/ + +::-webkit-search-decoration { + -webkit-appearance: none; +} + +/* +1. Correct the inability to style clickable types in iOS and Safari. +2. Change font properties to `inherit` in Safari. +*/ + +::-webkit-file-upload-button { + -webkit-appearance: button; + /* 1 */ + font: inherit; + /* 2 */ +} + +/* +Add the correct display in Chrome and Safari. +*/ + +summary { + display: list-item; +} + +/* +Removes the default spacing and border for appropriate elements. +*/ + +blockquote, +dl, +dd, +h1, +h2, +h3, +h4, +h5, +h6, +hr, +figure, +p, +pre { + margin: 0; +} + +fieldset { + margin: 0; + padding: 0; +} + +legend { + padding: 0; +} + +ol, +ul, +menu { + list-style: none; + margin: 0; + padding: 0; +} + +/* +Reset default styling for dialogs. +*/ + +dialog { + padding: 0; +} + +/* +Prevent resizing textareas horizontally by default. +*/ + +textarea { + resize: vertical; +} + +/* +1. Reset the default placeholder opacity in Firefox. (https://github.com/tailwindlabs/tailwindcss/issues/3300) +2. Set the default placeholder color to the user's configured gray 400 color. +*/ + +input::-moz-placeholder, textarea::-moz-placeholder { + opacity: 1; + /* 1 */ + color: #9ca3af; + /* 2 */ +} + +input::placeholder, +textarea::placeholder { + opacity: 1; + /* 1 */ + color: #9ca3af; + /* 2 */ +} + +/* +Set the default cursor for buttons. +*/ + +button, +[role="button"] { + cursor: pointer; +} + +/* +Make sure disabled buttons don't get the pointer cursor. +*/ + +:disabled { + cursor: default; +} + +/* +1. Make replaced elements `display: block` by default. (https://github.com/mozdevs/cssremedy/issues/14) +2. Add `vertical-align: middle` to align replaced elements more sensibly by default. (https://github.com/jensimmons/cssremedy/issues/14#issuecomment-634934210) + This can trigger a poorly considered lint error in some tools but is included by design. +*/ + +img, +svg, +video, +canvas, +audio, +iframe, +embed, +object { + display: block; + /* 1 */ + vertical-align: middle; + /* 2 */ +} + +/* +Constrain images and videos to the parent width and preserve their intrinsic aspect ratio. (https://github.com/mozdevs/cssremedy/issues/14) +*/ + +img, +video { + max-width: 100%; + height: auto; +} + +/* Make elements with the HTML hidden attribute stay hidden by default */ + +[hidden]:where(:not([hidden="until-found"])) { + display: none; } body { + width: 380px; + min-height: 500px; +} + +.toggle-switch { + position: relative; + display: inline-block; + width: 36px; + height: 20px; +} + +.toggle-switch input { + opacity: 0; + width: 0; + height: 0; +} + +.slider { + position: absolute; + cursor: pointer; + top: 0; + left: 0; + right: 0; + bottom: 0; + background-color: rgba(0, 0, 0, 0.2); + border: 1px solid rgba(255, 255, 255, 0.15); + transition: 0.4s; + border-radius: 20px; +} + +.slider:before { + position: absolute; + content: ''; + height: 14px; + width: 14px; + left: 2px; + bottom: 2px; + background-color: #94a3b8; + transition: 0.4s; + border-radius: 50%; +} + +input:checked + .slider { + background-color: #6366f1; + border-color: #6366f1; +} + +input:checked + .slider:before { + transform: translateX(16px); + background-color: white; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.3); +} + +.\!visible { + visibility: visible !important; +} + +.visible { + visibility: visible; +} + +.absolute { + position: absolute; +} + +.relative { + position: relative; +} + +.right-3 { + right: 0.75rem; +} + +.m-0 { + margin: 0px; +} + +.my-2 { + margin-top: 0.5rem; + margin-bottom: 0.5rem; +} + +.mb-2 { + margin-bottom: 0.5rem; +} + +.mb-4 { + margin-bottom: 1rem; +} + +.ml-1 { + margin-left: 0.25rem; +} + +.mt-1 { + margin-top: 0.25rem; +} + +.mt-2 { + margin-top: 0.5rem; +} + +.box-border { + box-sizing: border-box; +} + +.block { + display: block; +} + +.flex { + display: flex; +} + +.grid { + display: grid; +} + +.h-12 { + height: 3rem; +} + +.min-h-\[18px\] { + min-height: 18px; +} + +.min-h-screen { min-height: 100vh; - background-color: var(--bg-color); - display: flex; +} + +.w-12 { + width: 3rem; +} + +.w-full { + width: 100%; +} + +.flex-1 { + flex: 1 1 0%; +} + +@keyframes float { + 0%, 100% { + transform: translateY(0); + } + + 50% { + transform: translateY(-4px); + } +} + +.animate-float { + animation: float 3s ease-in-out infinite; +} + +.cursor-pointer { + cursor: pointer; +} + +.list-none { + list-style-type: none; +} + +.grid-cols-2 { + grid-template-columns: repeat(2, minmax(0, 1fr)); +} + +.flex-col { + flex-direction: column; +} + +.items-center { + align-items: center; +} + +.justify-center { justify-content: center; - align-items: center; } -main { - display: flex; - flex-direction: column; - align-items: center; - padding: 0.75rem; - gap: 0.4rem; - text-align: center; - width: 22rem; +.justify-between { + justify-content: space-between; } -.settings { - display: flex; - flex-direction: column; - align-items: center; - gap: 0.4rem; - text-align: center; - width: 100%; -} - -img { - width: 5rem; -} - -a { - color: var(--btn-color); - margin: 0; -} - -.line { - display: flex; - flex-direction: row; - width: 100%; +.gap-2 { gap: 0.5rem; } -.center { - justify-content: center; - align-items: center; +.gap-4 { + gap: 1rem; } -.center-y { - align-items: center; +.gap-5 { + gap: 1.25rem; } -.line .textLabel { - width: 5rem; - text-align: left; - text-transform: uppercase; +.gap-6 { + gap: 1.5rem; } -.line .textLabel .required { - color: var(--btn-color); - font-weight: bold; +.overflow-hidden { + overflow: hidden; } -.line input[type='text'], -.line input[type='password'], -.line input[type='number'], -.line select { - flex: 1 1; - border: thin solid var(--color); - padding: 0.3rem 0.5rem; - border-radius: 0.2rem; - outline-color: transparent; +.overflow-x-hidden { + overflow-x: hidden; +} + +.rounded-2xl { + border-radius: 1rem; +} + +.rounded-lg { + border-radius: 0.5rem; +} + +.rounded-xl { + border-radius: 0.75rem; +} + +.border { + border-width: 1px; +} + +.border-none { + border-style: none; +} + +.border-input-border { + border-color: rgba(255, 255, 255, 0.15); +} + +.border-panel-border { + border-color: rgba(255, 255, 255, 0.1); +} + +.bg-input-bg { + background-color: rgba(0, 0, 0, 0.2); +} + +.bg-panel-bg { + background-color: rgba(255, 255, 255, 0.05); +} + +.bg-primary { + --tw-bg-opacity: 1; + background-color: rgb(99 102 241 / var(--tw-bg-opacity, 1)); +} + +.bg-transparent { background-color: transparent; } -.line option { - color: #000; +.bg-gradient-to-br { + background-image: linear-gradient(to bottom right, var(--tw-gradient-stops)); } -.line input[type='checkbox'] { - accent-color: var(--btn-color); +.bg-gradient-to-r { + background-image: linear-gradient(to right, var(--tw-gradient-stops)); } -.col { - display: flex; - flex-direction: column; - text-align: left; +.from-gradient-start { + --tw-gradient-from: #0f172a var(--tw-gradient-from-position); + --tw-gradient-to: rgb(15 23 42 / 0) var(--tw-gradient-to-position); + --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to); } -.save { - border: none; - background-color: var(--btn-color); - padding: 0.5rem 2rem; - margin-top: 1rem; - cursor: pointer; - border-radius: 0.2rem; - font-size: 1.5rem; - margin-bottom: 0.75rem; +.from-indigo-300 { + --tw-gradient-from: #a5b4fc var(--tw-gradient-from-position); + --tw-gradient-to: rgb(165 180 252 / 0) var(--tw-gradient-to-position); + --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to); } -.mt { - margin-top: 1rem; +.from-primary { + --tw-gradient-from: #6366f1 var(--tw-gradient-from-position); + --tw-gradient-to: rgb(99 102 241 / 0) var(--tw-gradient-to-position); + --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to); } -.not-selected { - opacity: 0.4; +.to-gradient-end { + --tw-gradient-to: #1e1b4b var(--tw-gradient-to-position); } -#mode li { - list-style: none; - flex-grow: 1; +.to-indigo-400 { + --tw-gradient-to: #818cf8 var(--tw-gradient-to-position); } -#mode { - flex-wrap: wrap; +.to-primary-hover { + --tw-gradient-to: #4f46e5 var(--tw-gradient-to-position); } -#mode button { - background-color: var(--btn-color); - border: none; +.bg-clip-text { + -webkit-background-clip: text; + background-clip: text; +} + +.p-0 { + padding: 0px; +} + +.p-2\.5 { + padding: 0.625rem; +} + +.p-3 { + padding: 0.75rem; +} + +.p-4 { + padding: 1rem; +} + +.p-6 { + padding: 1.5rem; +} + +.px-3 { + padding-left: 0.75rem; + padding-right: 0.75rem; +} + +.py-2\.5 { + padding-top: 0.625rem; + padding-bottom: 0.625rem; +} + +.pl-3 { + padding-left: 0.75rem; +} + +.pr-9 { + padding-right: 2.25rem; +} + +.text-center { text-align: center; - padding: 0.3rem 0.75rem; - cursor: pointer; - width: 100%; - border-radius: 0.5rem; - text-transform: uppercase; } -#version { +.font-sans { + font-family: Inter, -apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica, Arial, sans-serif; +} + +.text-2xl { + font-size: 1.5rem; + line-height: 2rem; +} + +.text-base { + font-size: 1rem; + line-height: 1.5rem; +} + +.text-sm { + font-size: 0.875rem; + line-height: 1.25rem; +} + +.text-xs { font-size: 0.75rem; + line-height: 1rem; } -#message { - display: none; - margin-bottom: -0.5rem; +.font-bold { + font-weight: 700; } -#reloadModel { - cursor: pointer; +.font-medium { + font-weight: 500; } -#reloadModel[disabled] { - cursor: not-allowed; - opacity: 0.75; +.font-semibold { + font-weight: 600; } -.donate { - color: white; - animation: infinite donate 5s linear; - font-weight: bold; +.text-amber-400 { + --tw-text-opacity: 1; + color: rgb(251 191 36 / var(--tw-text-opacity, 1)); } -@keyframes donate { - 0% { - transform: translateX(0); - } - 3.57% { - transform: translateY(-9px); - } - 7.14% { - transform: translateY(-9px) rotate(17deg); - } - 10.78% { - transform: translateY(-9px) rotate(-17deg); - } - 14% { - transform: translateY(-9px) rotate(17deg); - } - 18% { - transform: translateY(-9px) rotate(-17deg); - } - 22% { - transform: translateY(0) rotate(0); - } +.text-error { + --tw-text-opacity: 1; + color: rgb(239 68 68 / var(--tw-text-opacity, 1)); +} + +.text-primary { + --tw-text-opacity: 1; + color: rgb(99 102 241 / var(--tw-text-opacity, 1)); +} + +.text-sky-400 { + --tw-text-opacity: 1; + color: rgb(56 189 248 / var(--tw-text-opacity, 1)); +} + +.text-success { + --tw-text-opacity: 1; + color: rgb(16 185 129 / var(--tw-text-opacity, 1)); +} + +.text-text-primary { + --tw-text-opacity: 1; + color: rgb(248 250 252 / var(--tw-text-opacity, 1)); +} + +.text-text-secondary { + --tw-text-opacity: 1; + color: rgb(148 163 184 / var(--tw-text-opacity, 1)); +} + +.text-transparent { + color: transparent; +} + +.text-white { + --tw-text-opacity: 1; + color: rgb(255 255 255 / var(--tw-text-opacity, 1)); +} + +.no-underline { + text-decoration-line: none; +} + +.antialiased { + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +.shadow-\[0_2px_8px_rgba\(99\2c 102\2c 241\2c 0\.4\)\] { + --tw-shadow: 0 2px 8px rgba(99,102,241,0.4); + --tw-shadow-colored: 0 2px 8px var(--tw-shadow-color); + box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); +} + +.shadow-\[0_8px_32px_0_rgba\(0\2c 0\2c 0\2c 0\.3\)\] { + --tw-shadow: 0 8px 32px 0 rgba(0,0,0,0.3); + --tw-shadow-colored: 0 8px 32px 0 var(--tw-shadow-color); + box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); +} + +.drop-shadow-md { + --tw-drop-shadow: drop-shadow(0 4px 3px rgb(0 0 0 / 0.07)) drop-shadow(0 2px 2px rgb(0 0 0 / 0.06)); + filter: var(--tw-blur) var(--tw-brightness) var(--tw-contrast) var(--tw-grayscale) var(--tw-hue-rotate) var(--tw-invert) var(--tw-saturate) var(--tw-sepia) var(--tw-drop-shadow); +} + +.filter { + filter: var(--tw-blur) var(--tw-brightness) var(--tw-contrast) var(--tw-grayscale) var(--tw-hue-rotate) var(--tw-invert) var(--tw-saturate) var(--tw-sepia) var(--tw-drop-shadow); +} + +.backdrop-blur-md { + --tw-backdrop-blur: blur(12px); + backdrop-filter: var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia); +} + +.transition-all { + transition-property: all; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1); + transition-duration: 150ms; +} + +.transition-colors { + transition-property: color, background-color, border-color, text-decoration-color, fill, stroke; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1); + transition-duration: 150ms; +} + +.duration-300 { + transition-duration: 300ms; +} + +.hover\:-translate-y-0\.5:hover { + --tw-translate-y: -0.125rem; + transform: translate(var(--tw-translate-x), var(--tw-translate-y)) rotate(var(--tw-rotate)) skewX(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) scaleY(var(--tw-scale-y)); +} + +.hover\:scale-110:hover { + --tw-scale-x: 1.1; + --tw-scale-y: 1.1; + transform: translate(var(--tw-translate-x), var(--tw-translate-y)) rotate(var(--tw-rotate)) skewX(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) scaleY(var(--tw-scale-y)); +} + +.hover\:bg-white\/5:hover { + background-color: rgb(255 255 255 / 0.05); +} + +.hover\:text-amber-300:hover { + --tw-text-opacity: 1; + color: rgb(252 211 77 / var(--tw-text-opacity, 1)); +} + +.hover\:text-primary-hover:hover { + --tw-text-opacity: 1; + color: rgb(79 70 229 / var(--tw-text-opacity, 1)); +} + +.hover\:text-sky-300:hover { + --tw-text-opacity: 1; + color: rgb(125 211 252 / var(--tw-text-opacity, 1)); +} + +.hover\:text-text-primary:hover { + --tw-text-opacity: 1; + color: rgb(248 250 252 / var(--tw-text-opacity, 1)); +} + +.hover\:shadow-\[0_4px_12px_rgba\(99\2c 102\2c 241\2c 0\.4\)\]:hover { + --tw-shadow: 0 4px 12px rgba(99,102,241,0.4); + --tw-shadow-colored: 0 4px 12px var(--tw-shadow-color); + box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); +} + +.focus\:border-input-focus:focus { + --tw-border-opacity: 1; + border-color: rgb(129 140 248 / var(--tw-border-opacity, 1)); +} + +.focus\:outline-none:focus { + outline: 2px solid transparent; + outline-offset: 2px; +} + +.focus\:ring-2:focus { + --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); + --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(2px + var(--tw-ring-offset-width)) var(--tw-ring-color); + box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); +} + +.focus\:ring-primary\/20:focus { + --tw-ring-color: rgb(99 102 241 / 0.2); +} + +.active\:translate-y-0:active { + --tw-translate-y: 0px; + transform: translate(var(--tw-translate-x), var(--tw-translate-y)) rotate(var(--tw-rotate)) skewX(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) scaleY(var(--tw-scale-y)); } diff --git a/issues/issues.md b/issues/issues.md new file mode 100644 index 0000000..1a30b65 --- /dev/null +++ b/issues/issues.md @@ -0,0 +1,78 @@ +[HELP] Add host and desactivate the cursor indication #71 +Help Request + +Issue Summary +Host name change due to private proctoring system integration and unwanted visual behavior in tests. + +Describe the problem +Hello! +Our university is integrating a private proctoring system, and because of this, the host name is changing — it now ends with .oes.kz. +How can we properly add or register this new host in the LMS so that everything continues to work correctly? + +Additionally, we’d like to remove the visual behavior when hovering over a test question. Currently, when you hover, the cursor changes, and when you click, a loading animation appears. Is there a way to disable this effect? + +Environment +• Operating System: Windows 10 +• Browser: Google Chrome +• Version: [e.g. 130.0.6723.70] +• Platform: LMS + +[FEATURE] Add "Request timeout" configuration option #70 +Help Request + +Issue Summary + +[Request was abort.] + +Describe the problem + +[I have no idea what happen maybe request is take too long time.it happen after using gpt 5 mode which not heppen on gpt4 before. can we have timeout setting feature so we can manually set it] + +Environment + + Operating System: [W11] + Browser: [Chrome] + Version: [1.1.5] + Any other relevant information + +Additional Information + +[Any additional information that may be helpful in diagnosing the issue.] + +[FEATURE] Add Project ID under Advanced Settings #55 +Add Project ID under Advanced Settings + +To use organization API keys it is required to provide the project id in the request. I never used openai APIs before and I was getting 401 - Incorrect API key provided. + +I fixed changing this line in MoodleGPT.js : + +project: s = Be("OPENAI_PROJECT_ID") ?? + +and then loading the extension manually. + +It would be very nice to add an optional project id under the advanced settings section. + +[FEATURE] Firefox port? #50 +Feature Request + +Description of the Feature +Would be really good if the extension was available for Firefox too. + +Additional Information +It wouldn't require too much code modification, since Firefox supports chrome. APIs natively too. + +[FEATURE] Preprompt for test with existing documents #42 +Hello, could there be an option to maybe choose a chatgpt chat you have made already or do I need to make a separate API and enter the files in there maybe? + +TLDR: I have specific exams for what correct answers only come from there. For this I would usually make a chatgpt chat that had all the documents pre uploaded in there. But if I want to use the plugin, it takes new chats. Any way to work this in or do I need to generate a specific API for this? + +[FEATURE] Add a document with the extension #39 +Hello, quick question: is it possible to provide my PDF of lecture notes in advance, to prepare and optimise ChatGPT’s answers to the multiple-choice questions? +For example, for my ‘Strategic Communication’ exam, I provide my PDF of about 30 pages of notes, so that the answers are faithful to what we covered in class. +Thanks and have a good day +Leo + +[FEATURE] ChatGPT Assistants #37 +Feature Request + +It would be really helpful if ChatGPT's assistants would also be supported in the extension. It should be only an option to select and use assistants which you have made for a specific topic to give more exact results. diff --git a/package-lock.json b/package-lock.json index c1f0175..9db7c8e 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,33 +1,53 @@ { - "name": "moodlegpt", - "version": "1.1.5", + "name": "sparkassist", + "version": "2.0.0", "lockfileVersion": 3, "requires": true, "packages": { "": { - "name": "moodlegpt", - "version": "1.1.5", + "name": "sparkassist", + "version": "2.0.0", "license": "MIT", + "dependencies": { + "preact": "^10.29.1" + }, "devDependencies": { "@eslint/js": "^9.32.0", "@rollup/plugin-commonjs": "^28.0.6", "@rollup/plugin-node-resolve": "^16.0.0", + "@rollup/plugin-replace": "^6.0.3", "@rollup/plugin-terser": "^0.4.4", "@rollup/plugin-typescript": "^12.1.4", "@types/chrome": "^0.1.1", "@types/node": "^24.1.0", "@typescript-eslint/eslint-plugin": "^8.26.1", "@typescript-eslint/parser": "^8.38.0", + "autoprefixer": "^10.5.0", 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"1.22.10", "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.10.tgz", @@ -2590,6 +3169,16 @@ "node": ">=0.10.0" } }, + "node_modules/source-map-js": { + "version": "1.2.1", + "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz", + "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==", + "dev": true, + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, "node_modules/source-map-support": { "version": "0.5.21", "resolved": "https://registry.npmjs.org/source-map-support/-/source-map-support-0.5.21.tgz", @@ -2613,6 +3202,39 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/sucrase": { + "version": "3.35.1", + "resolved": "https://registry.npmjs.org/sucrase/-/sucrase-3.35.1.tgz", + "integrity": "sha512-DhuTmvZWux4H1UOnWMB3sk0sbaCVOoQZjv8u1rDoTV0HTdGem9hkAZtl4JZy8P2z4Bg0nT+YMeOFyVr4zcG5Tw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@jridgewell/gen-mapping": "^0.3.2", + "commander": "^4.0.0", + "lines-and-columns": "^1.1.6", + "mz": "^2.7.0", + "pirates": "^4.0.1", + "tinyglobby": "^0.2.11", + "ts-interface-checker": "^0.1.9" + }, + "bin": { + "sucrase": "bin/sucrase", + "sucrase-node": "bin/sucrase-node" + }, + "engines": { + "node": ">=16 || 14 >=14.17" + } + }, + "node_modules/sucrase/node_modules/commander": { + "version": "4.1.1", + "resolved": "https://registry.npmjs.org/commander/-/commander-4.1.1.tgz", + "integrity": "sha512-NOKm8xhkzAjzFx8B2v5OAHT+u5pRQc2UCa2Vq9jYL/31o2wi9mxBA7LIFs3sV5VSC49z6pEhfbMULvShKj26WA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 6" + } + }, "node_modules/supports-color": { "version": "7.2.0", "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz", @@ -2637,6 +3259,44 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/tailwindcss": { + "version": "3.4.19", + "resolved": "https://registry.npmjs.org/tailwindcss/-/tailwindcss-3.4.19.tgz", + "integrity": "sha512-3ofp+LL8E+pK/JuPLPggVAIaEuhvIz4qNcf3nA1Xn2o/7fb7s/TYpHhwGDv1ZU3PkBluUVaF8PyCHcm48cKLWQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@alloc/quick-lru": "^5.2.0", + "arg": "^5.0.2", + "chokidar": "^3.6.0", + "didyoumean": "^1.2.2", + "dlv": "^1.1.3", + "fast-glob": "^3.3.2", + "glob-parent": "^6.0.2", + "is-glob": "^4.0.3", + "jiti": "^1.21.7", + "lilconfig": "^3.1.3", + "micromatch": "^4.0.8", + "normalize-path": "^3.0.0", + "object-hash": "^3.0.0", + "picocolors": "^1.1.1", + "postcss": "^8.4.47", + "postcss-import": "^15.1.0", + "postcss-js": "^4.0.1", + "postcss-load-config": "^4.0.2 || ^5.0 || ^6.0", + "postcss-nested": "^6.2.0", + "postcss-selector-parser": "^6.1.2", + "resolve": "^1.22.8", + "sucrase": "^3.35.0" + }, + "bin": { + "tailwind": "lib/cli.js", + "tailwindcss": "lib/cli.js" + }, + "engines": { + "node": ">=14.0.0" + } + }, "node_modules/terser": { "version": "5.39.0", "resolved": "https://registry.npmjs.org/terser/-/terser-5.39.0.tgz", @@ -2655,6 +3315,46 @@ "node": ">=10" } }, + "node_modules/thenify": { + "version": "3.3.1", + "resolved": "https://registry.npmjs.org/thenify/-/thenify-3.3.1.tgz", + "integrity": "sha512-RVZSIV5IG10Hk3enotrhvz0T9em6cyHBLkH/YAZuKqd8hRkKhSfCGIcP2KUY0EPxndzANBmNllzWPwak+bheSw==", + "dev": true, + "license": "MIT", + "dependencies": { + "any-promise": "^1.0.0" + } + }, + "node_modules/thenify-all": { + "version": "1.6.0", + "resolved": "https://registry.npmjs.org/thenify-all/-/thenify-all-1.6.0.tgz", + "integrity": "sha512-RNxQH/qI8/t3thXJDwcstUO4zeqo64+Uy/+sNVRBx4Xn2OX+OZ9oP+iJnNFqplFra2ZUVeKCSa2oVWi3T4uVmA==", + "dev": true, + "license": "MIT", + "dependencies": { + "thenify": ">= 3.1.0 < 4" + }, + "engines": { + "node": ">=0.8" + } + }, + "node_modules/tinyglobby": { + "version": "0.2.16", + "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.16.tgz", + "integrity": "sha512-pn99VhoACYR8nFHhxqix+uvsbXineAasWm5ojXoN8xEwK5Kd3/TrhNn1wByuD52UxWRLy8pu+kRMniEi6Eq9Zg==", + "dev": true, + "license": "MIT", + "dependencies": { + "fdir": "^6.5.0", + "picomatch": "^4.0.4" + }, + "engines": { + "node": ">=12.0.0" + }, + "funding": { + "url": "https://github.com/sponsors/SuperchupuDev" + } + }, "node_modules/to-regex-range": { "version": "5.0.1", "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", @@ -2699,6 +3399,13 @@ "typescript": "^3.x || ^4.x || ^5.x" } }, + "node_modules/ts-interface-checker": { + "version": "0.1.13", + "resolved": "https://registry.npmjs.org/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz", + "integrity": "sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==", + "dev": true, + "license": "Apache-2.0" + }, "node_modules/tslib": { "version": "2.8.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", @@ -2789,9 +3496,9 @@ "license": "MIT" }, "node_modules/update-browserslist-db": { - "version": "1.1.3", - "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.3.tgz", - "integrity": "sha512-UxhIZQ+QInVdunkDAaiazvvT/+fXL5Osr0JZlJulepYu6Jd7qJtDZjlur0emRlT71EN3ScPoE7gvsuIKKNavKw==", + "version": "1.2.3", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.2.3.tgz", + "integrity": "sha512-Js0m9cx+qOgDxo0eMiFGEueWztz+d4+M3rGlmKPT+T4IS/jP4ylw3Nwpu6cpTTP8R1MAC1kF4VbdLt3ARf209w==", "dev": true, "funding": [ { @@ -2807,6 +3514,7 @@ "url": "https://github.com/sponsors/ai" } ], + "license": "MIT", "dependencies": { "escalade": "^3.2.0", "picocolors": "^1.1.1" @@ -2828,6 +3536,13 @@ "punycode": "^2.1.0" } }, + "node_modules/util-deprecate": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz", + "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==", + "dev": true, + "license": "MIT" + }, "node_modules/which": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", diff --git a/package.json b/package.json index b94e68e..699d6f4 100644 --- a/package.json +++ b/package.json @@ -1,11 +1,12 @@ { - "name": "moodlegpt", - "version": "1.1.5", - "description": "This extension allows you to hide CHAT-GPT in a Moodle quiz.", + "name": "sparkassist", + "version": "2.0.0", + "description": "An AI study assistant for your quizzes.", "scripts": { - "build": "npm run prettier && npm run lint && npm run fastBuild", + "build": "npm run prettier && npm run lint && npm run build:css && npm run fastBuild", + "build:css": "tailwindcss -i ./src/popup/style.css -o ./extension/popup/style.css", "fastBuild": "rollup -c", - "lint": "eslint . --ext .ts", + "lint": "eslint . --ext .ts,.tsx", "prettier": "prettier --write ." }, "repository": { @@ -29,19 +30,26 @@ "@eslint/js": "^9.32.0", "@rollup/plugin-commonjs": "^28.0.6", "@rollup/plugin-node-resolve": "^16.0.0", + "@rollup/plugin-replace": "^6.0.3", "@rollup/plugin-terser": "^0.4.4", "@rollup/plugin-typescript": "^12.1.4", "@types/chrome": "^0.1.1", "@types/node": "^24.1.0", "@typescript-eslint/eslint-plugin": "^8.26.1", "@typescript-eslint/parser": "^8.38.0", + "autoprefixer": "^10.5.0", "eslint": "^9.32.0", "eslint-config-prettier": "^10.1.8", "openai": "^5.23.2", + "postcss": "^8.5.14", "prettier": "^3.6.2", "rollup": "^4.46.2", "rollup-plugin-ts": "^3.2.0", + "tailwindcss": "^3.4.19", "typescript": "^5.8.3", "typescript-eslint": "^8.38.0" + }, + "dependencies": { + "preact": "^10.29.1" } } diff --git a/postcss.config.js b/postcss.config.js new file mode 100644 index 0000000..5cbc2c7 --- /dev/null +++ b/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {} + } +}; diff --git a/question_types/calculated_questions.html b/question_types/calculated_questions.html new file mode 100644 index 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+
+

Question 9

+
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+ v1 (latest) +
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Question text

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+ This is an example of a simple calculated question. It's similar to the calculated + question but with fewer settings + smile +

+

+ You won a cool Moodle cooler box at a Moodle Moot and wonder how much it will hold. What + is the volume of your cooler box if its height is 6.4 its length is 9.9 and its width is + 7.0? +

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Question 8

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Question text

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+ This is an example of a calculated multi-choice question. It is like the calculated + question in that the numbers used may vary with each student and question, but the + equation remains the same but it is different from the calculated question in that there + is a choice of answers available. +

+

+ You are making a banner for your organisation's Moodle User Group meeting. Its length is + 14 and its height is 8 What is its area? +

+

 

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Question 7

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Question text

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+ This is an example of a calculated question. The numbers will vary but the formula stays + the same.  +

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+ You're doing some training in your organisation. In your group you have 3 complete + beginners and 14 relatively experienced Moodle users. How many are there in your group + in total? +

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diff --git a/question_types/drag_drop_into_text.html b/question_types/drag_drop_into_text.html new file mode 100644 index 0000000..f53e732 --- /dev/null +++ b/question_types/drag_drop_into_text.html @@ -0,0 +1,232 @@ +
+
+

Question 15

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Question text

+ +
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+ Drag the capital city onto the correct country.There are a few extra just to confuse + you! +

+

+ This is an example of a + Drag and drop into text question type. +

+
+

+ The capital of England is +  Blank 1 Question 15 + which is fairly easy. But do you know that the capital of Wales is +  Blank 2 Question 15 + ? +

+

+ Scotland's capital city is the very beautiful +  Blank 3 Question 15 + while the Republic of Ireland has +  Blank 4 Question 15 + as its capital and Northern Ireland's capital is +  Blank 5 Question 15 +

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+ GlasgowGlasgow + DublinDublin + LondonLondon + CardiffCardiff + CorkCork + BelfastBelfast + DerryDerry + EdinburghEdinburgh + SwanseaSwansea +
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diff --git a/question_types/essay_html.html b/question_types/essay_html.html new file mode 100644 index 0000000..29b4ee6 --- /dev/null +++ b/question_types/essay_html.html @@ -0,0 +1,753 @@ +
+
+

Question 6

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Question text

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What is resilience?

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diff --git a/question_types/essay_plain_text.html b/question_types/essay_plain_text.html new file mode 100644 index 0000000..3c6cb3a --- /dev/null +++ b/question_types/essay_plain_text.html @@ -0,0 +1,66 @@ +
+
+

Question 7

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Question text

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What is resilience?

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diff --git a/question_types/match_question.html b/question_types/match_question.html new file mode 100644 index 0000000..4c341a2 --- /dev/null +++ b/question_types/match_question.html @@ -0,0 +1,176 @@ +
+
+

Question 2

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+ v3 (latest) +
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+

Question text

+ +
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This is an example of a matching question type.

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Match the Moodle features to their functionality:

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diff --git a/question_types/multiple_choice.html b/question_types/multiple_choice.html new file mode 100644 index 0000000..4a9e85a --- /dev/null +++ b/question_types/multiple_choice.html @@ -0,0 +1,121 @@ +
+
+

Question 2

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+ v2 (latest) +
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Question text

+ +
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Which of the following actions can help you develop resilience?

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+ + Select one or more: + +
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 Ignoring emotions and pushing through hardships without reflection.

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+ Practising self-care, such as maintaining a healthy sleep routine and regular + exercise +

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+  Seeking support from friends, mentors, or professional resources when facing + difficulties.  +

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Avoiding challenges and stressful situations to prevent failure

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diff --git a/question_types/numerical.html b/question_types/numerical.html new file mode 100644 index 0000000..8c9427e --- /dev/null +++ b/question_types/numerical.html @@ -0,0 +1,63 @@ +
+
+

Question 5

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Not yet answered
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+ v1 (latest) +
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Question text

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What is 2 + 2?

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diff --git a/question_types/ordering.html b/question_types/ordering.html new file mode 100644 index 0000000..32479c0 --- /dev/null +++ b/question_types/ordering.html @@ -0,0 +1,821 @@ +
+
+

Question 17

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+ v4 (latest) +
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Question text

+ +
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+ Put this dialogue into the correct order. (This is an example of the Ordering question + type.) +

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    + Probably! I travelled from Kenya to Kamchatka! +
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    + Hello John! How are you? +
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    + Really? Why is that? +
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    + Oh you probably have jet lag! +
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    + Well actually I'm a bit tired. +
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    + Fine thanks. And you? +
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    + Fascinating! Tell me all about it. +
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Question 18

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Tries remaining: 1
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+ v4 (latest) +
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Question text

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+ Simply put the numbers in order. This is just an example question to demo the Ordering + question type. +

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Question 19

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Question text

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+ Order these country  placing the most egalitarian at the top and the most + hierarchical at the bottom. (This is an example of the Ordering question type.) +

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diff --git a/question_types/question_types.txt b/question_types/question_types.txt new file mode 100644 index 0000000..7cf67f4 --- /dev/null +++ b/question_types/question_types.txt @@ -0,0 +1,52 @@ +From moodle docs: https://docs.moodle.org/501/en/Question_types + +Standard question types +Calculated +Calculated questions offer a way to create individual numerical questions by the use of wildcards that are substituted with individual values when the quiz is taken. More on the Calculated question type + +Calculated multi-choice +Calculated multichoice questions are like multichoice questions with the additional property that the elements to select can include formula results from numeric values that are selected randomly from a set when the quiz is taken. They use the same wildcards than Calculated questions and their wildcards can be shared with other Calculated multichoice or regular Calculated questions. + +The main difference is that the formula is included in the answer choice as {=...} i.e. if you calculate the surface of a rectangle {={l}*{w}}. + +More on the Calculated Multi-Choice question type. + +Calculated simple +Simple calculated questions offer a way to create individual numerical questions whose response is the result of a numerical formula which contain variable numerical values by the use of wildcards (i.e. {x} , {y}) that are substituted with random values when the quiz is taken. + +The simple calculated questions offers the most used features of the calculated question with a much simpler creation interface. More on the Simple Calculated question type. + +Drag and drop into text +Students select missing words or phrases and add them to text by dragging boxes to the correct location. Items may be grouped and used more than once. More on the Drag and drop into text question type. + +Essay +This allows students to write at length on a particular subject and must be manually graded. + +It is possible for a teacher to create a template to scaffold the student's answer in order to give them extra support. The template is then reproduced in the text editor when the student starts to answer the question. See YouTube video Essay scaffold with the Moodle quiz It is also possible to include grading information for teachers marking the essay to refer to as they assess the essays, + +Matching +A list of sub-questions is provided, along with a list of answers. The respondent must "match" the correct answers with each question. More on the Matching question type + +Embedded Answers (Cloze Test / Gap Fill) +These very flexible questions consist of a passage of text (in Moodle format) that has various answers embedded within it, including multiple choice, short answers and numerical answers. More on the Embedded Answers question type + +Multiple choice +With the Multiple Choice question type you can create single-answer and multiple-answer questions, include pictures, sound or other media in the question and/or answer options (by inserting HTML) and weight individual answers. + +Ordering +The ordering question type displays several items (words, phrases or images) in a random order which are to be dragged into the correct sequential order. See Ordering question type for more information. + +Short Answer +In response to a question (that may include an image), the respondent types a word or phrase. There may several possible correct answers, with different grades. Answers may or may not be sensitive to case. More on the Short Answer question type + +Numerical +From the student perspective, a numerical question looks just like a short-answer question. The difference is that numerical answers are allowed to have an accepted error. This allows a continuous range of answers to be set. More on the Numerical question type + +Random short-answer matching +From the student perspective, this looks just like a Matching question. The difference is that the sub-questions are drawn randomly from Short Answer questions in the current category. More on the Random Short-Answer Matching question type + +Select missing words +Students select a missing word or phrase from a dropdown menu. Items may be grouped and used more than once. More on the Select missing words question type + +True/False +In response to a question (that may include an image), the respondent selects from two options: True or False. More on the True/False question type \ No newline at end of file diff --git a/question_types/select_missing_word.html b/question_types/select_missing_word.html new file mode 100644 index 0000000..f4d0e83 --- /dev/null +++ b/question_types/select_missing_word.html @@ -0,0 +1,184 @@ +
+
+

Question 16

+
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+ Edit question +
+ v1 (latest) +
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+

Question text

+ +
+

+ Do you know your Great Britain from your United Kingdom and your British Isles? Find out + here! +

+

+ This question uses the + Select missing words question type.  +

+

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+

+ Scotland, England and + + + together form   + +

+

+ Together with + + + they also make up   + +

+

+ So what are the British Isles? They are + + + and + , together with many other islands and dependencies such as + . +

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diff --git a/question_types/short_text.html b/question_types/short_text.html new file mode 100644 index 0000000..5c35a8b --- /dev/null +++ b/question_types/short_text.html @@ -0,0 +1,64 @@ +
+
+

Question 4

+
Not yet answered
+
Marked out of 1.00
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+ Edit question +
+ v1 (latest) +
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+

Question text

+ +
+
+

How is a post on Twitter called?

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+ +
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+
diff --git a/question_types/single_choice.html b/question_types/single_choice.html new file mode 100644 index 0000000..b4f8eb3 --- /dev/null +++ b/question_types/single_choice.html @@ -0,0 +1,120 @@ +
+
+

Question 1

+
Not yet answered
+
Marked out of 1.00
+ +
+ Edit question +
+ v2 (latest) +
+
+
+

Question text

+ +
+
+

What is resilience?

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+ +
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+ +
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The ability to recover from difficulties and adapt to challenging situations

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+ +
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The skill of controlling other people’s emotions during a crisis

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The ability to avoid stressful situations entirely.

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diff --git a/question_types/true_false.html b/question_types/true_false.html new file mode 100644 index 0000000..d61c5d6 --- /dev/null +++ b/question_types/true_false.html @@ -0,0 +1,73 @@ +
+
+

Question 3

+
Not yet answered
+
Marked out of 1.00
+ +
+ Edit question +
+ v1 (latest) +
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+
+

Question text

+ +
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+

Is resilience important?

+
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+ +
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+ +
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+ +
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diff --git a/rollup.config.js b/rollup.config.js index 656b36b..9d51ce8 100644 --- a/rollup.config.js +++ b/rollup.config.js @@ -1,7 +1,7 @@ const ts = require('@rollup/plugin-typescript'); const terser = require('@rollup/plugin-terser'); const { nodeResolve } = require('@rollup/plugin-node-resolve'); - +const replace = require('@rollup/plugin-replace'); const config = require('./tsconfig.json'); module.exports = [ @@ -17,13 +17,21 @@ module.exports = [ }, { - input: './src/popup/index.ts', + input: './src/popup/index.tsx', output: { file: './extension/popup/popup.js', format: 'umd', sourcemap: true }, onwarn() {}, - plugins: [nodeResolve(), ts(config), terser()] + plugins: [ + replace({ + 'process.env.NODE_ENV': JSON.stringify('production'), + preventAssignment: true + }), + nodeResolve(), + ts(config), + terser() + ] } ]; diff --git a/src/background/core/code-listener.ts b/src/background/core/code-listener.ts index e255d46..ba37ea8 100644 --- a/src/background/core/code-listener.ts +++ b/src/background/core/code-listener.ts @@ -58,7 +58,9 @@ function setUpMoodleGpt(config: Config) { const inputTypeQuery = ['checkbox', 'radio', 'text', 'number'] .map(e => `input[type="${e}"]`) .join(','); - const inputQuery = inputTypeQuery + ', textarea, select, [contenteditable], .qtype_essay_editor'; + const inputQuery = + inputTypeQuery + + ', textarea, select, [contenteditable], .qtype_essay_editor, .placeinput, .sortablelist'; const forms = document.querySelectorAll('.formulation'); // For each form we inject a function on the queqtion diff --git a/src/background/core/get-content-with-history.ts b/src/background/core/get-content-with-history.ts index 8f561e6..dbcb9fe 100644 --- a/src/background/core/get-content-with-history.ts +++ b/src/background/core/get-content-with-history.ts @@ -2,6 +2,8 @@ import type Config from '../types/config'; import imageToBase64 from 'background/utils/image-to-base64'; import isGPTModelGreaterOrEqualTo4 from 'background/utils/version-support-images'; import { ChatCompletionMessageParam, ChatCompletionUserMessageParam } from 'openai/resources'; +import { parseMoodleQuestion } from './parse-question'; +import { MoodleQuestionQuery /* MoodleQuestionType */ } from '../types/question-types'; // The attempt and the cmid allow us to identify a quiz type History = { @@ -11,18 +13,12 @@ type History = { history: ChatCompletionMessageParam[]; }; -const INSTRUCTION: string = ` -Act as a quiz solver for the best notation with the following rules: -- If no answer(s) are given, answer the statement as usual without following the other rules, providing the most detailed, complete and precise explanation. -- But for the calculation provide this format 'result: ' -- For 'put in order' questions, maintain the answer in the order as presented in the question but assocy the correct order to it by usin this format ':\n:', ignore other rules. -- Always reply in the format: '\n\n...'. -- Retain only the correct answer(s). -- Maintain the same order for the answers as in the text. -- Retain all text from the answer with its description, content or definition. -- Only provide answers that exactly match the given answer in the text. -- The question always has the correct answer(s), so you should always provide an answer. -- Always respond in the same language as the user's question. +const INSTRUCTION = ` +You are an expert quiz solver. +Please solve the provided question based on its type and provide the correct result. +- For choice questions, output the exact index(es) of the correct answer(s). +- For text/numerical questions, provide the exact wording or number. +- For essay questions, provide a highly detailed and complete response, adapting exactly to the requested 'format' (HTML vs plain text) and building upon any 'initial_text' template if supplied. `.trim(); const SYSTEM_INSTRUCTION_MESSAGE = { @@ -37,7 +33,8 @@ const SYSTEM_INSTRUCTION_MESSAGE = { async function getContent( config: Config, questionElement: HTMLElement, - question: string + // We provide the structured JSON if parsed, otherwise fallback to normalized text string + textContent: string ): Promise { const imagesElements = questionElement.querySelectorAll('img'); @@ -46,7 +43,7 @@ async function getContent( !isGPTModelGreaterOrEqualTo4(config.model) || imagesElements.length === 0 ) { - return question; + return textContent; } const contentWithImages: ChatCompletionUserMessageParam['content'] = []; @@ -67,7 +64,7 @@ async function getContent( contentWithImages.push({ type: 'text', - text: question + text: textContent }); return contentWithImages; @@ -126,34 +123,54 @@ async function getContentWithHistory( ): Promise<{ messages: [typeof SYSTEM_INSTRUCTION_MESSAGE, ...ChatCompletionMessageParam[]]; saveResponse?: (response: string) => void; + query: MoodleQuestionQuery | null; }> { - const content = await getContent(config, questionElement, question); + const parsedQuery = parseMoodleQuestion(questionElement, question); + const textContent = parsedQuery ? JSON.stringify(parsedQuery, null, 2) : question; + + const content = await getContent(config, questionElement, textContent); const message: ChatCompletionMessageParam = { role: 'user', content }; - if (!config.history) return { messages: [SYSTEM_INSTRUCTION_MESSAGE, message] }; + const buildResult = (historyMsg: ChatCompletionMessageParam[]) => { + const historyObj = { history: historyMsg }; + return { + messages: [SYSTEM_INSTRUCTION_MESSAGE, ...historyMsg, message] as [ + typeof SYSTEM_INSTRUCTION_MESSAGE, + ...ChatCompletionMessageParam[] + ], + query: parsedQuery, + saveResponse(response: string) { + if (config.history) { + historyObj.history.push(message); + historyObj.history.push({ role: 'assistant', content: response }); + // Note we probably need the full 'history' object here to stringify it: + // We will recreate it or reuse the loaded one + let historyToSave: History; + const pastHistory: History | null = loadPastHistory(); + const newHistory: History = createNewHistory(); + if (pastHistory === null || !areHistoryFromSameQuiz(pastHistory, newHistory)) { + historyToSave = newHistory; + } else { + historyToSave = pastHistory; + } + historyToSave.history = historyObj.history; + sessionStorage.moodleGPTHistory = JSON.stringify(historyToSave); + } + } + }; + }; - let history: History; + if (!config.history) { + return buildResult([]); + } const pastHistory: History | null = loadPastHistory(); const newHistory: History = createNewHistory(); - if (pastHistory === null || !areHistoryFromSameQuiz(pastHistory, newHistory)) { - history = newHistory; + return buildResult(newHistory.history); } else { - history = pastHistory; + return buildResult(pastHistory.history); } - - return { - messages: [SYSTEM_INSTRUCTION_MESSAGE, ...history.history, message], - saveResponse(response: string) { - // Register the conversation - if (config.history) { - history.history.push(message); - history.history.push({ role: 'assistant', content: response }); - sessionStorage.moodleGPTHistory = JSON.stringify(history); - } - } - }; } export default getContentWithHistory; diff --git a/src/background/core/get-response.ts b/src/background/core/get-response.ts index 92587e8..b8cf123 100644 --- a/src/background/core/get-response.ts +++ b/src/background/core/get-response.ts @@ -1,9 +1,10 @@ import type Config from '../types/config'; import type GPTAnswer from '../types/gpt-answer'; -import normalizeText from 'background/utils/normalize-text'; import getContentWithHistory from './get-content-with-history'; import OpenAI from 'openai'; import { fixeO } from '../utils/fixe-o'; +import { QuestionSchemas } from './utils/question-schemas'; +import { MoodleQuestionType, MoodleQuestionResponse } from '../types/question-types'; /** * Get the response from chatGPT api @@ -17,39 +18,67 @@ async function getChatGPTResponse( question: string ): Promise { const controller = new AbortController(); - const timeoutControler = setTimeout(() => controller.abort(), 20 * 1000); + const timeoutControler = setTimeout(() => controller.abort(), (config.timeoutValue || 20) * 1000); // Get the content to send to chatgpt - // Including the instructions to the AI, the images as base64 if needed, the question and the past conversation if history is set to true + // Including the instructions to the AI, the images as base64 if needed, + // the question and the past conversation if history is set to true const contentHandler = await getContentWithHistory(config, questionElement, question); const client = new OpenAI({ apiKey: config.apiKey, baseURL: config.baseURL, + project: config.projectId, dangerouslyAllowBrowser: true }); - const req = await client.chat.completions.create( - fixeO(config.model, { - model: config.model, - messages: contentHandler.messages, + const questionType = contentHandler.query + ? contentHandler.query.question_type + : MoodleQuestionType.UNKNOWN; + const targetSchema: MoodleQuestionResponse = + questionType !== MoodleQuestionType.UNKNOWN ? QuestionSchemas[questionType] : undefined; - max_completion_tokens: config.maxTokens || 2000 // Maximum length of the response, - }), - { signal: config.timeout ? controller.signal : null } - ); + const requestPayload: any = { + model: config.model, + messages: contentHandler.messages.map(msg => ({ ...msg })), + max_completion_tokens: config.maxTokens || 2000 + }; + + // Use the modern json_schema structured output when a schema is available. + // The model is guaranteed to return schema-valid JSON — no prompt hacks needed. + if (targetSchema) { + requestPayload.response_format = { + type: 'json_schema', + json_schema: targetSchema + }; + } + + const req = await client.chat.completions.create(fixeO(config.model, requestPayload), { + signal: config.timeout ? controller.signal : null + }); clearTimeout(timeoutControler); - const response = req.choices[0].message.content ?? ''; + const rawResponse = req.choices[0].message.content ?? ''; + + let structuredResponse: MoodleQuestionResponse | null = null; + if (targetSchema && rawResponse) { + try { + structuredResponse = JSON.parse(rawResponse); + } catch (e) { + console.error('Failed to parse structured JSON response', e); + } + } // Save the response into the history - if (typeof contentHandler.saveResponse === 'function') contentHandler.saveResponse(response); + if (typeof contentHandler.saveResponse === 'function') { + contentHandler.saveResponse(rawResponse); + } return { - question, - response, - normalizedResponse: normalizeText(response) + questionQuery: contentHandler.query, + response: structuredResponse, + rawResponse: rawResponse }; } diff --git a/src/background/core/modes/autocomplete.ts b/src/background/core/modes/autocomplete.ts index 242119c..59dcbac 100644 --- a/src/background/core/modes/autocomplete.ts +++ b/src/background/core/modes/autocomplete.ts @@ -8,6 +8,10 @@ import handleCheckbox from 'background/core/questions/checkbox'; import handleSelect from 'background/core/questions/select'; import handleTextbox from 'background/core/questions/textbox'; import handleAtto from 'background/core/questions/atto'; +import handleMatch from 'background/core/questions/match'; +import handleGapSelect from 'background/core/questions/gapselect'; +import handleDragDropText from 'background/core/questions/ddwtos'; +import handleOrdering from 'background/core/questions/ordering'; type Props = { config: Config; @@ -31,6 +35,10 @@ function autoCompleteMode(props: Props) { handleContentEditable, handleTextbox, handleNumber, + handleMatch, + handleGapSelect, + handleDragDropText, + handleOrdering, handleSelect, handleRadio, handleCheckbox diff --git a/src/background/core/modes/question-to-answer.ts b/src/background/core/modes/question-to-answer.ts deleted file mode 100644 index 7f32890..0000000 --- a/src/background/core/modes/question-to-answer.ts +++ /dev/null @@ -1,32 +0,0 @@ -import type GPTAnswer from '../../types/gpt-answer'; - -type Props = { - questionElement: HTMLElement; - gptAnswer: GPTAnswer; - removeListener: () => void; -}; - -/** - * Question to answer mode: - * Simply turn the question into the answer by clicking on it - * @param props - */ -function questionToAnswerMode(props: Props) { - const questionElement = props.questionElement; - - props.removeListener(); - - const questionBackup = questionElement.innerHTML ?? ''; - questionElement.innerHTML = props.gptAnswer.response; - questionElement.style.whiteSpace = 'pre-wrap'; - - // To go back to the question / answer - questionElement.addEventListener('click', function () { - const contentIsResponse = questionElement.innerHTML === props.gptAnswer.response; - - questionElement.style.whiteSpace = contentIsResponse ? 'initial' : 'pre-wrap'; - questionElement.innerHTML = contentIsResponse ? questionBackup : props.gptAnswer.response; - }); -} - -export default questionToAnswerMode; diff --git a/src/background/core/parse-question.ts b/src/background/core/parse-question.ts new file mode 100644 index 0000000..60acbb8 --- /dev/null +++ b/src/background/core/parse-question.ts @@ -0,0 +1,223 @@ +import { MoodleQuestionQuery, MoodleQuestionType, AnswerOption } from '../types/question-types'; +import normalizeText from 'background/utils/normalize-text'; + +/** + * Extracts options from a multichoice question. + */ +function extractOptions(questionElement: HTMLElement, inputSelector: string): AnswerOption[] { + const options: AnswerOption[] = []; + const inputs = questionElement.querySelectorAll(inputSelector); + + inputs.forEach((input, index) => { + // some inputs have value "-1", which is standard moodle for "clear choice" + if (input.value === '-1') return; + + // Try finding the label by ID + let text = ''; + const labelEl = questionElement.querySelector(`#${input.id.replace(/:/g, '\\:')}_label`); + if (labelEl) { + text = labelEl.textContent ?? ''; + } else { + text = input.parentElement?.textContent ?? ''; + } + + text = normalizeText(text.replace('Clear my choice', '')); + if (text) { + options.push({ + index, + text + }); + } + }); + + return options; +} + +/** + * Parse the question DOM element to determine the strict question type and structural query + * @param questionElement The question container element + * @param normalizedQuestionText The full text of the question + * @returns MoodleQuestionQuery object or null if parsing fails + */ +export function parseMoodleQuestion( + questionElement: HTMLElement, + normalizedQuestionText: string +): MoodleQuestionQuery | null { + const container = + questionElement.closest('.que') || questionElement.closest('.formulation') || questionElement; + + if ( + container.classList.contains('multichoice') || + container.classList.contains('calculatedmulti') + ) { + const checkboxes = container.querySelectorAll( + '.answer input[type="checkbox"]' + ); + const radios = container.querySelectorAll('.answer input[type="radio"]'); + + if (checkboxes.length > 0) { + return { + question_type: MoodleQuestionType.MULTIPLE_CHOICE, + question_text: normalizedQuestionText, + answer_options: extractOptions(container as HTMLElement, '.answer input[type="checkbox"]') + }; + } else if (radios.length > 0) { + return { + question_type: MoodleQuestionType.SINGLE_CHOICE, + question_text: normalizedQuestionText, + answer_options: extractOptions(container as HTMLElement, '.answer input[type="radio"]') + }; + } + } + + if (container.classList.contains('truefalse')) { + return { + question_type: MoodleQuestionType.TRUE_FALSE, + question_text: normalizedQuestionText + }; + } + + if (container.classList.contains('shortanswer')) { + return { + question_type: MoodleQuestionType.SHORT_TEXT, + question_text: normalizedQuestionText + }; + } + + if ( + container.classList.contains('numerical') || + container.classList.contains('calculated') || + container.classList.contains('calculatedsimple') + ) { + return { + question_type: MoodleQuestionType.NUMERICAL, + question_text: normalizedQuestionText + }; + } + + if (container.classList.contains('essay')) { + let format: 'plain_text' | 'html' = 'plain_text'; + let initial_text = ''; + + const editorDiv = container.querySelector('.qtype_essay_editor'); + if (editorDiv) format = 'html'; + + const textarea = container.querySelector('textarea'); + if (textarea) { + initial_text = textarea.value || textarea.textContent || ''; + initial_text = normalizeText(initial_text); + } + + const payload: MoodleQuestionQuery = { + question_type: MoodleQuestionType.ESSAY, + question_text: normalizedQuestionText, + format + }; + if (initial_text) { + (payload as any).initial_text = initial_text; + } + + return payload; + } + + if (container.classList.contains('match')) { + const subQuestions: { index: number; text: string }[] = []; + const firstSelectOptions: { index: number; text: string }[] = []; + + const rows = container.querySelectorAll('tr'); + let subIndex = 0; + rows.forEach(row => { + const textCell = row.querySelector('.text'); + const select = row.querySelector('select'); + if (textCell && select) { + subQuestions.push({ index: subIndex, text: normalizeText(textCell.textContent || '') }); + if (subIndex === 0) { + const options = select.querySelectorAll('option'); + let optionIndexCounter = 0; + Array.from(options) + .slice(1) + .forEach(opt => { + firstSelectOptions.push({ + index: optionIndexCounter++, + text: normalizeText(opt.textContent || '') + }); + }); + } + subIndex++; + } + }); + + return { + question_type: MoodleQuestionType.MATCH, + question_text: normalizedQuestionText, + sub_questions: subQuestions, + options: firstSelectOptions + }; + } + + if (container.classList.contains('gapselect')) { + const selects = container.querySelectorAll('select'); + const dropDowns: { index: number; options: { index: number; text: string }[] }[] = []; + + selects.forEach((select, dropIndex) => { + const options = select.querySelectorAll('option'); + const optArr: { index: number; text: string }[] = []; + let optionIndexCounter = 0; + Array.from(options) + .slice(1) + .forEach(opt => { + optArr.push({ index: optionIndexCounter++, text: normalizeText(opt.textContent || '') }); + }); + dropDowns.push({ index: dropIndex, options: optArr }); + }); + + return { + question_type: MoodleQuestionType.SELECT_MISSING_WORD, + question_text: normalizedQuestionText, + drop_downs: dropDowns + }; + } + + if (container.classList.contains('ddwtos')) { + const dragContainer = container.querySelector('.answercontainer'); + const draggables: { index: number; text: string }[] = []; + if (dragContainer) { + const dragHomes = dragContainer.querySelectorAll('.draghome.unplaced'); + dragHomes.forEach((drag, idx) => { + draggables.push({ index: idx, text: normalizeText(drag.textContent || '') }); + }); + } + + return { + question_type: MoodleQuestionType.DRAG_DROP_TEXT, + question_text: normalizedQuestionText, + draggables + }; + } + + if (container.classList.contains('ordering')) { + const itemsContainer = container.querySelector('.sortablelist'); + const orderingItems: { index: number; text: string }[] = []; + if (itemsContainer) { + const items = itemsContainer.querySelectorAll('.sortableitem'); + items.forEach((item, idx) => { + // the textcontent holds the answer string or possibly img alt depending on the question contents + let text = item.textContent?.trim() || ''; + // If it's an image-only answering scenario, text will be empty, grab the alt of first img + if (text === '') { + const img = item.querySelector('img'); + if (img) text = img.getAttribute('alt') || ''; + } + orderingItems.push({ index: idx, text: normalizeText(text) }); + }); + } + + return { + question_type: MoodleQuestionType.ORDERING, + question_text: normalizedQuestionText, + items: orderingItems + }; + } + + return null; +} diff --git a/src/background/core/questions/atto.ts b/src/background/core/questions/atto.ts index 0c45ec3..5b25949 100644 --- a/src/background/core/questions/atto.ts +++ b/src/background/core/questions/atto.ts @@ -29,18 +29,23 @@ function handleAtto( const textContainer = iframeBody.querySelector('p'); if (!textContainer) return false; + const answerText = + gptAnswer.response && 'correct_answer' in gptAnswer.response + ? String((gptAnswer.response as any).correct_answer) + : gptAnswer.rawResponse; + if (config.typing) { let index = 0; const eventHandler = function (event: KeyboardEvent) { event.preventDefault(); - if (event.key === 'Backspace' || index >= gptAnswer.response.length) { + if (event.key === 'Backspace' || index >= answerText.length) { iframe.contentWindow!.removeEventListener('keydown', eventHandler); return; } // Append text one character at a time - const textNode = document.createTextNode(gptAnswer.response.charAt(index++)); + const textNode = document.createTextNode(answerText.charAt(index++)); textContainer.appendChild(textNode); // Move the cursor after the last character @@ -58,7 +63,7 @@ function handleAtto( iframe.contentWindow.addEventListener('keydown', eventHandler); } else { - textContainer.textContent += gptAnswer.response; + textContainer.textContent += answerText; } return true; diff --git a/src/background/core/questions/checkbox.ts b/src/background/core/questions/checkbox.ts index b033b49..c6b4902 100644 --- a/src/background/core/questions/checkbox.ts +++ b/src/background/core/questions/checkbox.ts @@ -3,6 +3,7 @@ import type GPTAnswer from '../../types/gpt-answer'; import Logs from 'background/utils/logs'; import normalizeText from 'background/utils/normalize-text'; import { pickBestReponse } from 'background/utils/pick-best-response'; +import { MoodleQuestionType, MultipleChoiceResponse } from '../../types/question-types'; /** * Handle input checkbox elements @@ -22,29 +23,52 @@ function handleCheckbox( return false; } - const corrects = gptAnswer.normalizedResponse.split('\n'); - - const possibleAnswers = Array.from(inputList) - .map(inp => ({ - element: inp as HTMLInputElement, - value: normalizeText(inp?.parentElement?.textContent ?? '') - })) - .filter(obj => obj.value !== ''); - - // Find the best answers elements const correctElements: Set = new Set(); - for (const correct of corrects) { - const bestAnswer = pickBestReponse(correct, possibleAnswers); - if (config.logs && bestAnswer.value) { - Logs.bestAnswer(bestAnswer.value, bestAnswer.similarity); + // New structured mode + if ( + gptAnswer.response && + gptAnswer.response.question_type === MoodleQuestionType.MULTIPLE_CHOICE + ) { + const response = gptAnswer.response as MultipleChoiceResponse; + const correctIndexes = new Set(response.correct_answer.indexes); + + Array.from(inputList).forEach((inp, index) => { + const element = inp as HTMLInputElement; + if (correctIndexes.has(index)) { + correctElements.add(element); + } + }); + + if (config.logs) { + console.log('Using strict mode multiple choice selection:', response.correct_answer.indexes); } + } + // Fallback to fuzzy text matching if structural failed + else { + const corrects = gptAnswer.rawResponse.split('\n'); - correctElements.add(bestAnswer.element as HTMLInputElement); + const possibleAnswers = Array.from(inputList) + .map(inp => ({ + element: inp as HTMLInputElement, + value: normalizeText(inp?.parentElement?.textContent ?? '') + })) + .filter(obj => obj.value !== ''); + + for (const correct of corrects) { + const bestAnswer = pickBestReponse(correct, possibleAnswers); + + if (config.logs && bestAnswer.value) { + Logs.bestAnswer(bestAnswer.value, bestAnswer.similarity); + } + + correctElements.add(bestAnswer.element as HTMLInputElement); + } } // Check if it should be checked or not - for (const element of possibleAnswers.map(e => e.element)) { + for (const inp of Array.from(inputList)) { + const element = inp as HTMLInputElement; const needAction = (element.checked && !correctElements.has(element)) || (!element.checked && correctElements.has(element)); diff --git a/src/background/core/questions/clipboard.ts b/src/background/core/questions/clipboard.ts index c943b0b..d648264 100644 --- a/src/background/core/questions/clipboard.ts +++ b/src/background/core/questions/clipboard.ts @@ -1,6 +1,7 @@ import type Config from '../../types/config'; import type GPTAnswer from '../../types/gpt-answer'; import titleIndications from 'background/utils/title-indications'; +import { MoodleQuestionType } from '../../types/question-types'; /** * Copy the response in the clipboard if we can automaticaly fill the question @@ -9,7 +10,126 @@ import titleIndications from 'background/utils/title-indications'; */ function handleClipboard(config: Config, gptAnswer: GPTAnswer) { if (config.title) titleIndications('Copied to clipboard'); - navigator.clipboard.writeText(gptAnswer.response); + + let textToCopy = ''; + + if (gptAnswer.response && gptAnswer.questionQuery) { + const q = gptAnswer.questionQuery; + const r = gptAnswer.response; + + if (q.question_type === r.question_type) { + switch (r.question_type) { + case MoodleQuestionType.SINGLE_CHOICE: { + const query = q as Extract; + const resp = r as Extract; + const opt = query.answer_options.find(o => o.index === resp.correct_answer.index); + textToCopy = opt ? opt.text : ''; + break; + } + case MoodleQuestionType.MULTIPLE_CHOICE: { + const query = q as Extract< + typeof q, + { question_type: MoodleQuestionType.MULTIPLE_CHOICE } + >; + const resp = r as Extract< + typeof r, + { question_type: MoodleQuestionType.MULTIPLE_CHOICE } + >; + const texts = resp.correct_answer.indexes + .map(idx => { + const opt = query.answer_options.find(o => o.index === idx); + return opt ? opt.text : ''; + }) + .filter(Boolean); + textToCopy = texts.join('\n'); + break; + } + case MoodleQuestionType.TRUE_FALSE: { + const resp = r as Extract; + textToCopy = resp.correct_answer ? 'True' : 'False'; + break; + } + case MoodleQuestionType.SHORT_TEXT: + case MoodleQuestionType.ESSAY: { + const resp = r as Extract< + typeof r, + { question_type: MoodleQuestionType.SHORT_TEXT | MoodleQuestionType.ESSAY } + >; + textToCopy = resp.correct_answer; + break; + } + case MoodleQuestionType.NUMERICAL: { + const resp = r as Extract; + textToCopy = resp.correct_answer.toString(); + break; + } + case MoodleQuestionType.MATCH: { + const query = q as Extract; + const resp = r as Extract; + const matches = resp.correct_answers.map(ans => { + const sub = query.sub_questions.find(s => s.index === ans.sub_question_index); + const opt = query.options.find(o => o.index === ans.option_index); + return `${sub?.text || `Sub ${ans.sub_question_index}`} -> ${opt?.text || `Option ${ans.option_index}`}`; + }); + textToCopy = matches.join('\n'); + break; + } + case MoodleQuestionType.SELECT_MISSING_WORD: { + const query = q as Extract< + typeof q, + { question_type: MoodleQuestionType.SELECT_MISSING_WORD } + >; + const resp = r as Extract< + typeof r, + { question_type: MoodleQuestionType.SELECT_MISSING_WORD } + >; + const answers = resp.correct_answers.map(ans => { + const dd = query.drop_downs.find(d => d.index === ans.drop_down_index); + const opt = dd?.options.find(o => o.index === ans.option_index); + return `Blank ${ans.drop_down_index}: ${opt?.text || `Option ${ans.option_index}`}`; + }); + textToCopy = answers.join('\n'); + break; + } + case MoodleQuestionType.DRAG_DROP_TEXT: { + const query = q as Extract< + typeof q, + { question_type: MoodleQuestionType.DRAG_DROP_TEXT } + >; + const resp = r as Extract; + const answers = resp.correct_answers.map(ans => { + const drag = query.draggables.find(d => d.index === ans.draggable_index); + return `Blank ${ans.blank_index}: ${drag?.text || `Draggable ${ans.draggable_index}`}`; + }); + textToCopy = answers.join('\n'); + break; + } + case MoodleQuestionType.ORDERING: { + const query = q as Extract; + const resp = r as Extract; + const texts = resp.correct_order.indexes.map((idx, i) => { + const item = query.items.find(o => o.index === idx); + return `${i + 1}. ${item?.text || `Item ${idx}`}`; + }); + textToCopy = texts.join('\n'); + break; + } + } + } + } + + // Fallback if empty or types didn't match / no response + if (!textToCopy) { + if (gptAnswer.response) { + textToCopy = JSON.stringify(gptAnswer.response, null, 2); + } else if (gptAnswer.rawResponse) { + textToCopy = gptAnswer.rawResponse; + } else { + textToCopy = ''; + } + } + + navigator.clipboard.writeText(textToCopy); } export default handleClipboard; diff --git a/src/background/core/questions/contenteditable.ts b/src/background/core/questions/contenteditable.ts index c3da3d6..7dadd1b 100644 --- a/src/background/core/questions/contenteditable.ts +++ b/src/background/core/questions/contenteditable.ts @@ -27,18 +27,23 @@ function handleContentEditable( return false; } + const answerText = + gptAnswer.response && 'correct_answer' in gptAnswer.response + ? String((gptAnswer.response as any).correct_answer) + : gptAnswer.rawResponse; + if (config.typing) { let index = 0; const eventHandler = function (event: KeyboardEvent) { event.preventDefault(); - if (event.key === 'Backspace' || index >= gptAnswer.response.length) { + if (event.key === 'Backspace' || index >= answerText.length) { input.removeEventListener('keydown', eventHandler); return; } - input.textContent = gptAnswer.response.slice(0, ++index); + input.textContent = answerText.slice(0, ++index); // Put the cursor at the end of the typed text input.focus(); @@ -54,7 +59,7 @@ function handleContentEditable( input.addEventListener('keydown', eventHandler); } else { - input.textContent = gptAnswer.response; + input.textContent = answerText; } return true; diff --git a/src/background/core/questions/ddwtos.ts b/src/background/core/questions/ddwtos.ts new file mode 100644 index 0000000..9131fa4 --- /dev/null +++ b/src/background/core/questions/ddwtos.ts @@ -0,0 +1,44 @@ +import type Config from '../../types/config'; +import type GPTAnswer from '../../types/gpt-answer'; +import type { DragDropTextResponse } from '../../types/question-types'; +import { MoodleQuestionType } from '../../types/question-types'; + +export default function handleDragDropText( + config: Config, + inputList: NodeListOf, + gptAnswer: GPTAnswer +): boolean { + if (!gptAnswer.response || gptAnswer.response.question_type !== MoodleQuestionType.DRAG_DROP_TEXT) + return false; + + const response = gptAnswer.response as DragDropTextResponse; + const hiddenInputs = Array.from(inputList).filter(el => + el.classList.contains('placeinput') + ) as HTMLInputElement[]; + + for (const answer of response.correct_answers) { + const hiddenInput = hiddenInputs[answer.blank_index]; + if (!hiddenInput) continue; + + const container = hiddenInput.closest('.que'); + if (!container) continue; + + const dragHomes = container.querySelectorAll('.draghome.unplaced'); + const targetDrag = dragHomes[answer.draggable_index]; + if (!targetDrag) continue; + + const choiceMatch = targetDrag.className.match(/choice(\d+)/); + if (!choiceMatch) continue; + + const choiceValue = choiceMatch[1]; + hiddenInput.value = choiceValue; + + // visually update the drag drop UI string + const blankSpan = container.querySelector(`.place${answer.blank_index + 1}.drop`); + if (blankSpan) { + blankSpan.textContent = targetDrag.textContent; + } + } + + return true; +} diff --git a/src/background/core/questions/gapselect.ts b/src/background/core/questions/gapselect.ts new file mode 100644 index 0000000..6364f1b --- /dev/null +++ b/src/background/core/questions/gapselect.ts @@ -0,0 +1,39 @@ +import type Config from '../../types/config'; +import type GPTAnswer from '../../types/gpt-answer'; +import type { SelectMissingWordResponse } from '../../types/question-types'; +import { MoodleQuestionType } from '../../types/question-types'; + +export default function handleGapSelect( + config: Config, + inputList: NodeListOf, + gptAnswer: GPTAnswer +): boolean { + if ( + !gptAnswer.response || + gptAnswer.response.question_type !== MoodleQuestionType.SELECT_MISSING_WORD + ) + return false; + + const response = gptAnswer.response as SelectMissingWordResponse; + const selects = Array.from(inputList).filter( + el => el.tagName === 'SELECT' + ) as HTMLSelectElement[]; + + for (const answer of response.correct_answers) { + const selectEl = selects[answer.drop_down_index]; + if (!selectEl) continue; + + const options = selectEl.querySelectorAll('option'); + const correctOption = options[answer.option_index + 1]; + + if (correctOption) { + if (config.mouseover) { + selectEl.addEventListener('click', () => (correctOption.selected = true), { once: true }); + } else { + correctOption.selected = true; + } + } + } + + return true; +} diff --git a/src/background/core/questions/match.ts b/src/background/core/questions/match.ts new file mode 100644 index 0000000..ed4c337 --- /dev/null +++ b/src/background/core/questions/match.ts @@ -0,0 +1,36 @@ +import type Config from '../../types/config'; +import type GPTAnswer from '../../types/gpt-answer'; +import type { MatchResponse } from '../../types/question-types'; +import { MoodleQuestionType } from '../../types/question-types'; + +export default function handleMatch( + config: Config, + inputList: NodeListOf, + gptAnswer: GPTAnswer +): boolean { + if (!gptAnswer.response || gptAnswer.response.question_type !== MoodleQuestionType.MATCH) + return false; + + const response = gptAnswer.response as MatchResponse; + const selects = Array.from(inputList).filter( + el => el.tagName === 'SELECT' + ) as HTMLSelectElement[]; + + for (const answer of response.correct_answers) { + const selectEl = selects[answer.sub_question_index]; + if (!selectEl) continue; + + const options = selectEl.querySelectorAll('option'); + const correctOption = options[answer.option_index + 1]; // + 1 because index 0 is "Choose..." + + if (correctOption) { + if (config.mouseover) { + selectEl.addEventListener('click', () => (correctOption.selected = true), { once: true }); + } else { + correctOption.selected = true; + } + } + } + + return true; +} diff --git a/src/background/core/questions/number.ts b/src/background/core/questions/number.ts index 2131b3a..c5d4354 100644 --- a/src/background/core/questions/number.ts +++ b/src/background/core/questions/number.ts @@ -22,7 +22,11 @@ function handleNumber( return false; } - const number = gptAnswer.normalizedResponse.match(/\d+([,.]\d+)?/gi)?.[0]?.replace(',', '.'); + const rawNumberStr = + gptAnswer.response && 'correct_answer' in gptAnswer.response + ? String((gptAnswer.response as any).correct_answer) + : gptAnswer.rawResponse; + const number = rawNumberStr.match(/\d+([,.]\d+)?/gi)?.[0]?.replace(',', '.'); if (number === undefined) return false; diff --git a/src/background/core/questions/ordering.ts b/src/background/core/questions/ordering.ts new file mode 100644 index 0000000..724bc34 --- /dev/null +++ b/src/background/core/questions/ordering.ts @@ -0,0 +1,52 @@ +import type Config from '../../types/config'; +import type GPTAnswer from '../../types/gpt-answer'; +import type { OrderingResponse } from '../../types/question-types'; +import { MoodleQuestionType } from '../../types/question-types'; + +export default function handleOrdering( + config: Config, + inputList: NodeListOf, + gptAnswer: GPTAnswer +): boolean { + if (!gptAnswer.response || gptAnswer.response.question_type !== MoodleQuestionType.ORDERING) + return false; + + const response = gptAnswer.response as OrderingResponse; + + // The sortable list is present within inputList because we added .sortablelist to code-listener.ts + const sortableList = Array.from(inputList).find(el => el.classList.contains('sortablelist')); + if (!sortableList) return true; + + const container = sortableList.closest('.que'); + if (!container) return true; + + const items = Array.from(sortableList.querySelectorAll('li.sortableitem')); + + // Form final array of element IDs to place in hidden input + const correctIdsList: string[] = []; + const orderedItems: HTMLElement[] = []; + + for (const index of response.correct_order.indexes) { + const item = items[index] as HTMLElement; + if (!item) continue; + correctIdsList.push(item.id); + orderedItems.push(item); + } + + // Find the hidden input + const hiddenInput = container.querySelector( + 'input[type="hidden"][name*="_response_"]' + ) as HTMLInputElement; + if (hiddenInput) { + hiddenInput.value = correctIdsList.join(','); + } + + // Visually reorder elements in DOM if mouseover auto-completion is disabled (meaning auto populate directly) + // Even if mouseover is enabled, moodle drag/drop handles are too complex to easily simulate, + // so typically visual repopulation on ordering is acceptable. + orderedItems.forEach(item => { + sortableList.appendChild(item); // appendChild physically moves an already existing dom element + }); + + return true; +} diff --git a/src/background/core/questions/radio.ts b/src/background/core/questions/radio.ts index 33de6b2..d7d29f3 100644 --- a/src/background/core/questions/radio.ts +++ b/src/background/core/questions/radio.ts @@ -3,6 +3,11 @@ import type GPTAnswer from '../../types/gpt-answer'; import Logs from 'background/utils/logs'; import normalizeText from 'background/utils/normalize-text'; import { pickBestReponse } from 'background/utils/pick-best-response'; +import { + MoodleQuestionType, + SingleChoiceResponse, + TrueFalseResponse +} from '../../types/question-types'; /** * Handle input radio elements @@ -22,26 +27,60 @@ function handleRadio( return false; } - const possibleAnswers = Array.from(inputList) - .map(inp => ({ - element: inp, - value: normalizeText(inp?.parentElement?.textContent ?? '') - })) - .filter(obj => obj.value !== ''); + let correctInput: HTMLInputElement | null = null; - const bestAnswer = pickBestReponse(gptAnswer.normalizedResponse, possibleAnswers); + if (gptAnswer.response && gptAnswer.response.question_type === MoodleQuestionType.SINGLE_CHOICE) { + const res = gptAnswer.response as SingleChoiceResponse; + const index = res.correct_answer.index; + if (index >= 0 && index < inputList.length) { + correctInput = inputList[index] as HTMLInputElement; + } + } else if ( + gptAnswer.response && + gptAnswer.response.question_type === MoodleQuestionType.TRUE_FALSE + ) { + const res = gptAnswer.response as TrueFalseResponse; + // In Moodle true/false typically true is index 0 and false is index 1 or vice-versa. + // The query extracted options though... wait! True/false doesn't use `extractOptions`! + // So we need to match text "true" or "false", or 1/0. + const isTrue = res.correct_answer === true; - if (config.logs && bestAnswer.value) { - Logs.bestAnswer(bestAnswer.value, bestAnswer.similarity); + // Quick fallback fuzzy to "true" or "false" if we don't know the exact indices + // True/false has radio options, so we can search by text. + const possibleAnswers = Array.from(inputList) + .map(inp => ({ + element: inp, + value: normalizeText(inp?.parentElement?.textContent ?? '') + })) + .filter(obj => obj.value !== ''); + + const bestAnswer = pickBestReponse(isTrue ? 'true' : 'false', possibleAnswers); + correctInput = bestAnswer.element as HTMLInputElement; + } else { + // Fallback parsing + const possibleAnswers = Array.from(inputList) + .map(inp => ({ + element: inp, + value: normalizeText(inp?.parentElement?.textContent ?? '') + })) + .filter(obj => obj.value !== ''); + + const bestAnswer = pickBestReponse(gptAnswer.rawResponse, possibleAnswers); + + if (config.logs && bestAnswer.value) { + Logs.bestAnswer(bestAnswer.value, bestAnswer.similarity); + } + correctInput = bestAnswer.element as HTMLInputElement; } - const correctInput = bestAnswer.element as HTMLInputElement; - if (config.mouseover) { - correctInput.addEventListener('mouseover', () => correctInput.click(), { - once: true - }); - } else { - correctInput.click(); + if (correctInput) { + if (config.mouseover) { + correctInput.addEventListener('mouseover', () => (correctInput as HTMLInputElement).click(), { + once: true + }); + } else { + correctInput.click(); + } } return true; diff --git a/src/background/core/questions/select.ts b/src/background/core/questions/select.ts index 846e836..10e48c6 100644 --- a/src/background/core/questions/select.ts +++ b/src/background/core/questions/select.ts @@ -18,7 +18,12 @@ function handleSelect( ): boolean { if (inputList.length === 0 || inputList[0].tagName !== 'SELECT') return false; - const corrects = gptAnswer.normalizedResponse.split('\n'); + const rawResponse = + gptAnswer.response && 'correct_answer' in gptAnswer.response + ? String((gptAnswer.response as any).correct_answer) + : gptAnswer.rawResponse; + + const corrects = rawResponse.split('\n'); if (config.logs) Logs.array(corrects); diff --git a/src/background/core/questions/textbox.ts b/src/background/core/questions/textbox.ts index a1a94ba..ba82980 100644 --- a/src/background/core/questions/textbox.ts +++ b/src/background/core/questions/textbox.ts @@ -22,23 +22,28 @@ function handleTextbox( return false; } + const answerText = + gptAnswer.response && 'correct_answer' in gptAnswer.response + ? String((gptAnswer.response as any).correct_answer) + : gptAnswer.rawResponse; + if (config.typing) { let index = 0; const eventHandler = function (event: Event) { event.preventDefault(); - if ((event).key === 'Backspace' || index >= gptAnswer.response.length) { + if ((event).key === 'Backspace' || index >= answerText.length) { input.removeEventListener('keydown', eventHandler); return; } - input.value = gptAnswer.response.slice(0, ++index); + input.value = answerText.slice(0, ++index); }; input.addEventListener('keydown', eventHandler); } else { - input.value = gptAnswer.response; + input.value = answerText; } return true; diff --git a/src/background/core/reply.ts b/src/background/core/reply.ts index 41e1ae0..1a43134 100644 --- a/src/background/core/reply.ts +++ b/src/background/core/reply.ts @@ -3,7 +3,6 @@ import Logs from 'background/utils/logs'; import getChatGPTResponse from './get-response'; import createAndNormalizeQuestion from './create-question'; import clipboardMode from './modes/clipboard'; -import questionToAnswerMode from './modes/question-to-answer'; import autoCompleteMode from './modes/autocomplete'; type Props = { @@ -56,13 +55,6 @@ async function reply(props: Props): Promise { removeListener: props.removeListener }); break; - case 'question-to-answer': - questionToAnswerMode({ - gptAnswer, - questionElement: props.questionElement, - removeListener: props.removeListener - }); - break; case 'autocomplete': autoCompleteMode({ config: props.config, diff --git a/src/background/core/utils/question-schemas.ts b/src/background/core/utils/question-schemas.ts new file mode 100644 index 0000000..670b740 --- /dev/null +++ b/src/background/core/utils/question-schemas.ts @@ -0,0 +1,193 @@ +import { MoodleQuestionType } from '../../types/question-types'; + +export const QuestionSchemas: Record = { + [MoodleQuestionType.SINGLE_CHOICE]: { + name: 'single_choice_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.SINGLE_CHOICE] }, + correct_answer: { + type: 'object', + properties: { index: { type: 'integer' } }, + required: ['index'], + additionalProperties: false + } + }, + required: ['question_type', 'correct_answer'], + additionalProperties: false + } + }, + [MoodleQuestionType.MULTIPLE_CHOICE]: { + name: 'multiple_choice_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.MULTIPLE_CHOICE] }, + correct_answer: { + type: 'object', + properties: { + indexes: { + type: 'array', + items: { type: 'integer' } + } + }, + required: ['indexes'], + additionalProperties: false + } + }, + required: ['question_type', 'correct_answer'], + additionalProperties: false + } + }, + [MoodleQuestionType.TRUE_FALSE]: { + name: 'true_false_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.TRUE_FALSE] }, + correct_answer: { type: 'boolean' } + }, + required: ['question_type', 'correct_answer'], + additionalProperties: false + } + }, + [MoodleQuestionType.SHORT_TEXT]: { + name: 'short_text_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.SHORT_TEXT] }, + correct_answer: { type: 'string' } + }, + required: ['question_type', 'correct_answer'], + additionalProperties: false + } + }, + [MoodleQuestionType.NUMERICAL]: { + name: 'numerical_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.NUMERICAL] }, + correct_answer: { type: 'number' } + }, + required: ['question_type', 'correct_answer'], + additionalProperties: false + } + }, + [MoodleQuestionType.ESSAY]: { + name: 'essay_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.ESSAY] }, + correct_answer: { type: 'string' } + }, + required: ['question_type', 'correct_answer'], + additionalProperties: false + } + }, + [MoodleQuestionType.MATCH]: { + name: 'match_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.MATCH] }, + correct_answers: { + type: 'array', + items: { + type: 'object', + properties: { + sub_question_index: { type: 'integer' }, + option_index: { type: 'integer' } + }, + required: ['sub_question_index', 'option_index'], + additionalProperties: false + } + } + }, + required: ['question_type', 'correct_answers'], + additionalProperties: false + } + }, + [MoodleQuestionType.SELECT_MISSING_WORD]: { + name: 'select_missing_word_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.SELECT_MISSING_WORD] }, + correct_answers: { + type: 'array', + items: { + type: 'object', + properties: { + drop_down_index: { type: 'integer' }, + option_index: { type: 'integer' } + }, + required: ['drop_down_index', 'option_index'], + additionalProperties: false + } + } + }, + required: ['question_type', 'correct_answers'], + additionalProperties: false + } + }, + [MoodleQuestionType.DRAG_DROP_TEXT]: { + name: 'drag_drop_text_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.DRAG_DROP_TEXT] }, + correct_answers: { + type: 'array', + items: { + type: 'object', + properties: { + blank_index: { type: 'integer' }, + draggable_index: { type: 'integer' } + }, + required: ['blank_index', 'draggable_index'], + additionalProperties: false + } + } + }, + required: ['question_type', 'correct_answers'], + additionalProperties: false + } + }, + [MoodleQuestionType.ORDERING]: { + name: 'ordering_response', + strict: true, + schema: { + type: 'object', + properties: { + question_type: { type: 'string', enum: [MoodleQuestionType.ORDERING] }, + correct_order: { + type: 'object', + properties: { + indexes: { + type: 'array', + items: { type: 'integer' } + } + }, + required: ['indexes'], + additionalProperties: false + } + }, + required: ['question_type', 'correct_order'], + additionalProperties: false + } + }, + [MoodleQuestionType.UNKNOWN]: undefined +}; diff --git a/src/background/types/config.ts b/src/background/types/config.ts index d829ddf..558452e 100644 --- a/src/background/types/config.ts +++ b/src/background/types/config.ts @@ -11,9 +11,11 @@ type Config = { timeout?: boolean; history?: boolean; includeImages?: boolean; - mode?: 'autocomplete' | 'question-to-answer' | 'clipboard'; + mode?: 'autocomplete' | 'clipboard'; baseURL?: string; + projectId?: string; maxTokens?: number; + timeoutValue?: number; }; export default Config; diff --git a/src/background/types/gpt-answer.ts b/src/background/types/gpt-answer.ts index 32a7694..4d668d4 100644 --- a/src/background/types/gpt-answer.ts +++ b/src/background/types/gpt-answer.ts @@ -1,7 +1,9 @@ +import { MoodleQuestionQuery, MoodleQuestionResponse } from './question-types'; + type GPTAnswer = { - question: string; - response: string; - normalizedResponse: string; + questionQuery: MoodleQuestionQuery | null; + response: MoodleQuestionResponse | null; + rawResponse: string; // Keep the original just in case or for logging/unknown }; export default GPTAnswer; diff --git a/src/background/types/question-types.ts b/src/background/types/question-types.ts new file mode 100644 index 0000000..acb46b6 --- /dev/null +++ b/src/background/types/question-types.ts @@ -0,0 +1,155 @@ +export enum MoodleQuestionType { + SINGLE_CHOICE = 'single_choice', + MULTIPLE_CHOICE = 'multiple_choice', + TRUE_FALSE = 'true_false', + SHORT_TEXT = 'short_text', + NUMERICAL = 'numerical', + ESSAY = 'essay', + MATCH = 'match', + SELECT_MISSING_WORD = 'select_missing_word', + DRAG_DROP_TEXT = 'drag_drop_text', + ORDERING = 'ordering', + UNKNOWN = 'unknown' +} + +export interface AnswerOption { + index: number; + text: string; +} + +// ==== Queries sent to LLM ==== + +export interface SingleChoiceQuery { + question_type: MoodleQuestionType.SINGLE_CHOICE; + question_text: string; + answer_options: AnswerOption[]; +} + +export interface MultipleChoiceQuery { + question_type: MoodleQuestionType.MULTIPLE_CHOICE; + question_text: string; + answer_options: AnswerOption[]; +} + +export interface TrueFalseQuery { + question_type: MoodleQuestionType.TRUE_FALSE; + question_text: string; +} + +export interface ShortTextQuery { + question_type: MoodleQuestionType.SHORT_TEXT; + question_text: string; +} + +export interface NumericalQuery { + question_type: MoodleQuestionType.NUMERICAL; + question_text: string; +} + +export interface EssayQuery { + question_type: MoodleQuestionType.ESSAY; + question_text: string; + format: 'plain_text' | 'html'; + initial_text?: string; +} + +export interface MatchQuery { + question_type: MoodleQuestionType.MATCH; + question_text: string; + sub_questions: { index: number; text: string }[]; + options: { index: number; text: string }[]; +} + +export interface SelectMissingWordQuery { + question_type: MoodleQuestionType.SELECT_MISSING_WORD; + question_text: string; + drop_downs: { index: number; options: { index: number; text: string }[] }[]; +} + +export interface DragDropTextQuery { + question_type: MoodleQuestionType.DRAG_DROP_TEXT; + question_text: string; + draggables: { index: number; text: string }[]; +} + +export interface OrderingQuery { + question_type: MoodleQuestionType.ORDERING; + question_text: string; + items: { index: number; text: string }[]; +} + +export type MoodleQuestionQuery = + | SingleChoiceQuery + | MultipleChoiceQuery + | TrueFalseQuery + | ShortTextQuery + | NumericalQuery + | EssayQuery + | MatchQuery + | SelectMissingWordQuery + | DragDropTextQuery + | OrderingQuery; + +// ==== Expected LLM Responses ==== + +export interface SingleChoiceResponse { + question_type: MoodleQuestionType.SINGLE_CHOICE; + correct_answer: { index: number }; +} + +export interface MultipleChoiceResponse { + question_type: MoodleQuestionType.MULTIPLE_CHOICE; + correct_answer: { indexes: number[] }; +} + +export interface TrueFalseResponse { + question_type: MoodleQuestionType.TRUE_FALSE; + correct_answer: boolean; +} + +export interface ShortTextResponse { + question_type: MoodleQuestionType.SHORT_TEXT; + correct_answer: string; +} + +export interface NumericalResponse { + question_type: MoodleQuestionType.NUMERICAL; + correct_answer: number; +} + +export interface EssayResponse { + question_type: MoodleQuestionType.ESSAY; + correct_answer: string; +} + +export interface MatchResponse { + question_type: MoodleQuestionType.MATCH; + correct_answers: { sub_question_index: number; option_index: number }[]; +} + +export interface SelectMissingWordResponse { + question_type: MoodleQuestionType.SELECT_MISSING_WORD; + correct_answers: { drop_down_index: number; option_index: number }[]; +} + +export interface DragDropTextResponse { + question_type: MoodleQuestionType.DRAG_DROP_TEXT; + correct_answers: { blank_index: number; draggable_index: number }[]; +} + +export interface OrderingResponse { + question_type: MoodleQuestionType.ORDERING; + correct_order: { indexes: number[] }; +} + +export type MoodleQuestionResponse = + | SingleChoiceResponse + | MultipleChoiceResponse + | TrueFalseResponse + | ShortTextResponse + | NumericalResponse + | EssayResponse + | MatchResponse + | SelectMissingWordResponse + | DragDropTextResponse + | OrderingResponse; diff --git a/src/background/utils/logs.ts b/src/background/utils/logs.ts index da58766..3cc6ac2 100644 --- a/src/background/utils/logs.ts +++ b/src/background/utils/logs.ts @@ -22,7 +22,6 @@ class Logs { static response(gptAnswer: GPTAnswer) { console.log('Original:\n' + gptAnswer.response); - console.log('Normalized:\n' + gptAnswer.normalizedResponse); } } diff --git a/src/popup/components/AdvancedSettingsPanel.tsx b/src/popup/components/AdvancedSettingsPanel.tsx new file mode 100644 index 0000000..f25b41d --- /dev/null +++ b/src/popup/components/AdvancedSettingsPanel.tsx @@ -0,0 +1,89 @@ +import { MoodleGPTConfig } from '../hooks/useConfig'; + +interface Props { + config: MoodleGPTConfig; + onChange: (key: keyof MoodleGPTConfig, value: MoodleGPTConfig[keyof MoodleGPTConfig]) => void; + visible: boolean; +} + +export function AdvancedSettingsPanel({ config, onChange, visible }: Props) { + if (!visible) return null; + + return ( +
+
+ + onChange('code', (e.target as HTMLInputElement).value)} + /> +
+
+ + onChange('baseURL', (e.target as HTMLInputElement).value)} + /> +
+
+ + onChange('projectId', (e.target as HTMLInputElement).value)} + /> +
+
+ + { + const val = (e.target as HTMLInputElement).value; + onChange('maxTokens', val ? parseInt(val) : undefined); + }} + /> +
+
+ + { + const val = (e.target as HTMLInputElement).value; + onChange('timeoutValue', val ? parseInt(val) : undefined); + }} + /> +
+
+ ); +} diff --git a/src/popup/components/App.tsx b/src/popup/components/App.tsx new file mode 100644 index 0000000..babeb93 --- /dev/null +++ b/src/popup/components/App.tsx @@ -0,0 +1,112 @@ +import { useState } from 'preact/hooks'; +import { Header } from './Header'; +import { SettingsPanel } from './SettingsPanel'; +import { AdvancedSettingsPanel } from './AdvancedSettingsPanel'; +import { OptionsGrid } from './OptionsGrid'; +import { OperatingMode } from './OperatingMode'; +import { useConfig, MoodleGPTConfig } from '../hooks/useConfig'; + +export function App() { + const { config, loading, saveConfig, setConfig } = useConfig(); + const [showAdvanced, setShowAdvanced] = useState(false); + const [message, setMessage] = useState<{ text: string; isError: boolean } | null>(null); + + if (loading) return null; + + const handleConfigChange = ( + key: keyof MoodleGPTConfig, + value: MoodleGPTConfig[keyof MoodleGPTConfig] + ) => { + setConfig(prev => ({ ...prev, [key]: value })); + }; + + const showMessage = (msg: string, isError = false) => { + setMessage({ text: msg, isError }); + setTimeout(() => setMessage(null), 5000); + }; + + const handleSave = async () => { + if (!config.apiKey || !config.model) { + showMessage('Please complete all the form', true); + return; + } + if (config.code && config.code.length > 0 && config.code.length < 2) { + showMessage('The code should at least contain 2 characters', true); + return; + } + await saveConfig(config); + showMessage('Configuration saved'); + }; + + return ( +
+
+ + + + + + { + e.preventDefault(); + setShowAdvanced(!showAdvanced); + }} + > + {showAdvanced ? 'Go back to settings' : 'Show Advanced Settings'} + + + handleConfigChange('mode', m)} + /> + +
+ + Options +
+ + + + {message && ( +

+ {message.text} +

+ )} + + + +
+ + Support + + + Docs + +
+
+ ); +} diff --git a/src/popup/components/Header.tsx b/src/popup/components/Header.tsx new file mode 100644 index 0000000..d92dd55 --- /dev/null +++ b/src/popup/components/Header.tsx @@ -0,0 +1,70 @@ +import { useEffect, useState } from 'preact/hooks'; + +export function Header() { + const [version, setVersion] = useState('2.0.0'); + const [hasUpdate, setHasUpdate] = useState(false); + + useEffect(() => { + const checkVersion = async () => { + try { + const req = await fetch( + 'https://raw.githubusercontent.com/yoannchb-pro/MoodleGPT/main/package.json' + ); + const rep = await req.json(); + const lastVersion = rep.version; + + const lastVertionSplitted = lastVersion.split('.'); + const currentVersionSplitted = version.split('.'); + const minVersionLength = Math.min( + lastVertionSplitted.length, + currentVersionSplitted.length + ); + + for (let i = 0; i < minVersionLength; ++i) { + if (parseInt(lastVertionSplitted[i]) > parseInt(currentVersionSplitted[i])) { + setVersion(lastVersion); + setHasUpdate(true); + return; + } else if (parseInt(currentVersionSplitted[i]) > parseInt(lastVertionSplitted[i])) { + return; + } + } + } catch (err) { + console.error(err); + } + }; + checkVersion(); + }, []); + + return ( +
+ SparkAssist Logo +
+

+ SparkAssist +

+

+ {hasUpdate ? ( + <> + + v{version} + {' '} + is now available ! + + ) : ( + `v${version}` + )} +

+
+
+ ); +} diff --git a/src/popup/components/OperatingMode.tsx b/src/popup/components/OperatingMode.tsx new file mode 100644 index 0000000..375bade --- /dev/null +++ b/src/popup/components/OperatingMode.tsx @@ -0,0 +1,46 @@ +interface Props { + mode: 'autocomplete' | 'clipboard'; + onChange: (mode: 'autocomplete' | 'clipboard') => void; +} + +export function OperatingMode({ mode, onChange }: Props) { + return ( + <> +
+ + Operating Mode +
+
    +
  • + +
    • +
  • + +
    • +
+ + ); +} diff --git a/src/popup/components/OptionsGrid.tsx b/src/popup/components/OptionsGrid.tsx new file mode 100644 index 0000000..c3a54d0 --- /dev/null +++ b/src/popup/components/OptionsGrid.tsx @@ -0,0 +1,47 @@ +import { MoodleGPTConfig } from '../hooks/useConfig'; +import { useModel } from '../hooks/useModel'; + +interface Props { + config: MoodleGPTConfig; + onChange: (key: keyof MoodleGPTConfig, value: MoodleGPTConfig[keyof MoodleGPTConfig]) => void; +} + +export function OptionsGrid({ config, onChange }: Props) { + const { isCurrentVersionSupportingImages } = useModel(); + + const toggleRow = (id: keyof MoodleGPTConfig, label: string, visible = true) => { + if (!visible) return null; + return ( +
+ + +
+ ); + }; + + const isClipboard = config.mode === 'clipboard'; + + return ( +
+ {toggleRow('logs', 'Console logs')} + {toggleRow('title', 'Title hint')} + {toggleRow('cursor', 'Cursor hint')} + {toggleRow('timeout', 'Timeout')} + {toggleRow('typing', 'Typing effect', !isClipboard)} + {toggleRow('mouseover', 'Hover effect', !isClipboard)} + {toggleRow('infinite', 'Infinite try')} + {toggleRow('history', 'History')} + {toggleRow('includeImages', 'Images (GPT-4)', isCurrentVersionSupportingImages(config.model))} +
+ ); +} diff --git a/src/popup/components/SettingsPanel.tsx b/src/popup/components/SettingsPanel.tsx new file mode 100644 index 0000000..6acc4c3 --- /dev/null +++ b/src/popup/components/SettingsPanel.tsx @@ -0,0 +1,86 @@ +import { useModel } from '../hooks/useModel'; +import { MoodleGPTConfig } from '../hooks/useConfig'; +import { useState } from 'preact/hooks'; + +interface Props { + config: MoodleGPTConfig; + onChange: (key: keyof MoodleGPTConfig, value: MoodleGPTConfig[keyof MoodleGPTConfig]) => void; + showMessage: (msg: string, isError?: boolean) => void; + visible: boolean; +} + +export function SettingsPanel({ config, onChange, showMessage, visible }: Props) { + if (!visible) return null; + const { models, fetchModels, validateModel } = useModel( + config.apiKey, + config.baseURL, + config.projectId + ); + const [testing, setTesting] = useState(false); + + const handleTest = async () => { + if (!config.model) { + showMessage('Please select a model first', true); + return; + } + setTesting(true); + showMessage('Checking GPT version...', false); + const result = await validateModel(config.model, config.maxTokens); + setTesting(false); + if (result.success) { + showMessage(result.message || 'Valid model'); + } else { + showMessage(result.error || 'Invalid model', true); + } + }; + + return ( +
+
+ + onChange('apiKey', (e.target as HTMLInputElement).value)} + /> +
+
+ +
+ onChange('model', (e.target as HTMLInputElement).value)} + onFocus={fetchModels} + /> + + {models.map(m => ( + + ))} + + +
+
+
+ ); +} diff --git a/src/popup/data.ts b/src/popup/data.ts deleted file mode 100644 index fe37a33..0000000 --- a/src/popup/data.ts +++ /dev/null @@ -1,15 +0,0 @@ -export const globalData = { actualMode: 'autocomplete' }; - -export const inputsCheckbox = [ - 'logs', - 'title', - 'cursor', - 'typing', - 'mouseover', - 'infinite', - 'timeout', - 'history', - 'includeImages' -]; -export const mode = document.querySelector('#mode')!; -export const modes = mode.querySelectorAll('button')!; diff --git a/src/popup/gpt-version.ts b/src/popup/gpt-version.ts deleted file mode 100644 index 8672a0e..0000000 --- a/src/popup/gpt-version.ts +++ /dev/null @@ -1,84 +0,0 @@ -import OpenAI from 'openai'; -import { isCurrentVersionSupportingImages, showMessage } from './utils'; - -const apiKeySelector: HTMLInputElement = document.querySelector('#apiKey')!; -const inputModel: HTMLInputElement = document.querySelector('#model')!; -const modelsList: HTMLElement = document.querySelector('#models')!; -const imagesIntegrationLine: HTMLInputElement = document.querySelector('#includeImages-line')!; -const baseURLSelector: HTMLInputElement = document.querySelector('#baseURL')!; -/** - * Check if the gpt version is at least 4 to show the option 'Include images' - */ -export function checkCanIncludeImages() { - const version = inputModel.value; - if (isCurrentVersionSupportingImages(version)) { - imagesIntegrationLine.style.display = 'flex'; - } else { - imagesIntegrationLine.style.display = 'none'; - } -} - -inputModel.addEventListener('input', checkCanIncludeImages); - -// We populate the datalist of the chatgpt model -export async function populateDatalistWithGptVersions() { - const apiKey = apiKeySelector.value?.trim(); - const baseURL = baseURLSelector.value?.trim(); - - if (!apiKey) return; - - inputModel.innerHTML = ''; - - try { - const client = new OpenAI({ - apiKey, - baseURL, - dangerouslyAllowBrowser: true - }); - - const rep = await client.models.list(); - - const models = rep.data.filter( - model => - model.id.startsWith('gpt') || - model.id.search(/^o\d+/gi) !== -1 || - model.id.startsWith('chatgpt') - ); - models.sort((a, b) => b.id.localeCompare(a.id)); // we sort the model to get the best chatgpt version first - - for (const model of models) { - const opt = document.createElement('option'); - opt.value = model.id; - opt.textContent = model.id; - modelsList.appendChild(opt); - } - - checkCanIncludeImages(); - } catch (err: any) { - console.error(err); - showMessage({ msg: err, isError: true }); - } -} - -inputModel.addEventListener('focus', populateDatalistWithGptVersions); - -export async function checkModel() { - const model = inputModel.value?.trim(); - const apiKey = apiKeySelector.value?.trim(); - const baseURL = baseURLSelector.value?.trim(); - - try { - showMessage({ msg: 'Checking GPT version...', isInfinite: true, isError: false }); - const client = new OpenAI({ apiKey, baseURL, dangerouslyAllowBrowser: true }); - await client.chat.completions.create({ - model, - messages: [{ role: 'user', content: 'reply just pong' }] - }); - showMessage({ msg: 'The model is valid!' }); - } catch (err: any) { - showMessage({ msg: err, isError: true }); - } -} - -const checkModelBtn: HTMLElement = document.querySelector('#check-model')!; -checkModelBtn.addEventListener('click', checkModel); diff --git a/src/popup/hooks/useConfig.ts b/src/popup/hooks/useConfig.ts new file mode 100644 index 0000000..788faa5 --- /dev/null +++ b/src/popup/hooks/useConfig.ts @@ -0,0 +1,48 @@ +import { useState, useEffect } from 'preact/hooks'; + +export interface MoodleGPTConfig { + apiKey?: string; + code?: string; + model?: string; + baseURL?: string; + maxTokens?: number; + projectId?: string; + timeoutValue?: number; + logs?: boolean; + title?: boolean; + cursor?: boolean; + typing?: boolean; + mouseover?: boolean; + infinite?: boolean; + timeout?: boolean; + history?: boolean; + includeImages?: boolean; + mode?: 'autocomplete' | 'clipboard'; +} + +export function useConfig() { + const [config, setConfig] = useState({ + mode: 'autocomplete', + title: true, + cursor: true, + timeout: true + }); + const [loading, setLoading] = useState(true); + + useEffect(() => { + chrome.storage.sync.get(['moodleGPT']).then(storage => { + if (storage.moodleGPT) { + setConfig(prev => ({ ...prev, ...storage.moodleGPT })); + } + setLoading(false); + }); + }, []); + + const saveConfig = async (newConfig: MoodleGPTConfig) => { + const updated = { ...config, ...newConfig }; + setConfig(updated); + await chrome.storage.sync.set({ moodleGPT: updated }); + }; + + return { config, loading, saveConfig, setConfig }; +} diff --git a/src/popup/hooks/useModel.ts b/src/popup/hooks/useModel.ts new file mode 100644 index 0000000..b48431b --- /dev/null +++ b/src/popup/hooks/useModel.ts @@ -0,0 +1,113 @@ +import { useState } from 'preact/hooks'; +import OpenAI from 'openai'; + +export function useModel(apiKey?: string, baseURL?: string, projectId?: string) { + const [models, setModels] = useState([]); + const [error, setError] = useState(null); + + const isCurrentVersionSupportingImages = (version?: string) => { + if (!version) return false; + const versionNumber = version.match(/gpt-(\d+)/); + if (!versionNumber?.[1]) { + return false; + } + return Number(versionNumber[1]) >= 4; + }; + + const fetchModels = async () => { + if (!apiKey) return; + try { + const client = new OpenAI({ + apiKey, + baseURL: baseURL || undefined, + project: projectId || undefined, + dangerouslyAllowBrowser: true + }); + + const rep = await client.models.list(); + + const filteredModels = rep.data.filter( + model => + model.id.startsWith('gpt') || + model.id.search(/^o\d+/gi) !== -1 || + model.id.startsWith('chatgpt') + ); + filteredModels.sort((a, b) => b.id.localeCompare(a.id)); + + setModels(filteredModels.map(m => m.id)); + setError(null); + } catch (err: any) { + console.error(err); + setError(err.message || String(err)); + } + }; + + const validateModel = async (model: string, maxTokens?: number) => { + if (!apiKey || !model) return { success: false, error: 'API Key and Model are required' }; + + try { + const client = new OpenAI({ + apiKey, + baseURL: baseURL || undefined, + project: projectId || undefined, + dangerouslyAllowBrowser: true + }); + const completion = await client.chat.completions.create({ + model, + messages: [ + { + role: 'user', + content: + 'reply just pong, set success to true, and provide a random number between 1 and 100.' + } + ], + max_completion_tokens: maxTokens || 2000, + response_format: { + type: 'json_schema', + json_schema: { + name: 'model_test', + strict: true, + schema: { + type: 'object', + properties: { + reply: { type: 'string', description: 'The text reply' }, + success: { type: 'boolean', description: 'Always true' }, + data: { + type: 'object', + properties: { + number: { type: 'integer' } + }, + required: ['number'], + additionalProperties: false + } + }, + required: ['reply', 'success', 'data'], + additionalProperties: false + } + } + } + }); + + const content = completion.choices[0]?.message?.content; + if (!content) { + throw new Error('No content returned from the model.'); + } + + const parsed = JSON.parse(content); + if ( + typeof parsed.reply !== 'string' || + typeof parsed.success !== 'boolean' || + typeof parsed.data !== 'object' || + typeof parsed.data.number !== 'number' + ) { + throw new Error('Model did not follow the JSON schema correctly.'); + } + + return { success: true, message: 'The model is valid and supports structured outputs!' }; + } catch (err: any) { + return { success: false, error: err.message || String(err) }; + } + }; + + return { models, fetchModels, validateModel, error, isCurrentVersionSupportingImages }; +} diff --git a/src/popup/index.ts b/src/popup/index.ts deleted file mode 100644 index c50a380..0000000 --- a/src/popup/index.ts +++ /dev/null @@ -1,89 +0,0 @@ -import { globalData, inputsCheckbox, modes } from './data'; -import { checkCanIncludeImages } from './gpt-version'; -import { handleModeChange } from './mode-handler'; -import './version'; -import './settings'; - -import { showMessage } from './utils'; - -const saveBtn = document.querySelector('.save')!; - -// inputs id -const inputsText = ['apiKey', 'code', 'model', 'baseURL', 'maxTokens']; - -// Save the configuration -saveBtn.addEventListener('click', function () { - const [apiKey, code, model, baseURL, maxTokens] = inputsText.map(selector => - (document.querySelector('#' + selector) as HTMLInputElement).value.trim() - ); - const [logs, title, cursor, typing, mouseover, infinite, timeout, history, includeImages] = - inputsCheckbox.map(selector => { - const element: HTMLInputElement = document.querySelector('#' + selector)!; - return element.checked && element.parentElement!.style.display !== 'none'; - }); - - if (!apiKey || !model) { - showMessage({ msg: 'Please complete all the form', isError: true }); - return; - } - - if (code.length > 0 && code.length < 2) { - showMessage({ - msg: 'The code should at least contain 2 characters', - isError: true - }); - return; - } - - chrome.storage.sync.set({ - moodleGPT: { - apiKey, - code, - model, - baseURL, - maxTokens: maxTokens ? parseInt(maxTokens) : undefined, - logs, - title, - cursor, - typing, - mouseover, - infinite, - timeout, - history, - includeImages, - mode: globalData.actualMode - } - }); - - showMessage({ msg: 'Configuration saved' }); -}); - -// we load back the configuration -chrome.storage.sync.get(['moodleGPT']).then(function (storage) { - const config = storage.moodleGPT; - - if (config) { - if (config.mode) { - globalData.actualMode = config.mode; - for (const mode of modes) { - if (mode.value === config.mode) { - mode.classList.remove('not-selected'); - } else { - mode.classList.add('not-selected'); - } - } - } - - inputsText.forEach(key => - config[key] - ? ((document.querySelector('#' + key) as HTMLInputElement).value = config[key]) - : null - ); - inputsCheckbox.forEach( - key => ((document.querySelector('#' + key) as HTMLInputElement).checked = config[key] || '') - ); - } - - handleModeChange(); - checkCanIncludeImages(); -}); diff --git a/src/popup/index.tsx b/src/popup/index.tsx new file mode 100644 index 0000000..6ba8e1d --- /dev/null +++ b/src/popup/index.tsx @@ -0,0 +1,7 @@ +import { render } from 'preact'; +import { App } from './components/App'; + +const root = document.getElementById('root'); +if (root) { + render(, root); +} diff --git a/src/popup/mode-handler.ts b/src/popup/mode-handler.ts deleted file mode 100644 index 4a15450..0000000 --- a/src/popup/mode-handler.ts +++ /dev/null @@ -1,43 +0,0 @@ -import { globalData, inputsCheckbox, modes } from './data'; - -// input to don't take in consideration -const toExcludes = ['includeImages']; - -// inputs id that need to be disabled for a specific mode -const disabledForThisMode: Record = { - autocomplete: [], - clipboard: ['typing', 'mouseover'], - 'question-to-answer': ['typing', 'infinite', 'mouseover'] -}; - -/** - * Handle when a mode change to show specific input or to hide them - */ -export function handleModeChange() { - const needDisable = disabledForThisMode[globalData.actualMode]; - const dontNeedDisable = inputsCheckbox.filter( - input => !needDisable.includes(input) && !toExcludes.includes(input) - ); - for (const id of needDisable) { - document.querySelector('#' + id)!.parentElement!.style.display = 'none'; - } - for (const id of dontNeedDisable) { - document.querySelector('#' + id)!.parentElement!.style.display = ''; - } -} - -// Mode hanlder -for (const button of modes) { - button.addEventListener('click', function () { - const value = button.value; - globalData.actualMode = value; - for (const mode of modes) { - if (mode.value !== value) { - mode.classList.add('not-selected'); - } else { - mode.classList.remove('not-selected'); - } - } - handleModeChange(); - }); -} diff --git a/src/popup/settings.ts b/src/popup/settings.ts deleted file mode 100644 index 2bba210..0000000 --- a/src/popup/settings.ts +++ /dev/null @@ -1,21 +0,0 @@ -const settings: HTMLElement = document.querySelector('#settings')!; -const advencedSettings: HTMLElement = document.querySelector('#advanced-settings')!; -const switchSettings: HTMLLinkElement = document.querySelector('#switch-settings')!; - -export function switchSettingsMode() { - const isAdvancedSettings = advencedSettings.style.display === 'flex'; - - if (isAdvancedSettings) { - settings.style.display = 'flex'; - advencedSettings.style.display = 'none'; - switchSettings.textContent = 'Advanced settings'; - } else { - settings.style.display = 'none'; - advencedSettings.style.display = 'flex'; - switchSettings.textContent = 'Go back to settings'; - } -} -switchSettings.addEventListener('click', function (event) { - event.preventDefault(); - switchSettingsMode(); -}); diff --git a/src/popup/style.css b/src/popup/style.css new file mode 100644 index 0000000..6fa7cb6 --- /dev/null +++ b/src/popup/style.css @@ -0,0 +1,61 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + body { + width: 380px; + min-height: 500px; + } +} + +@layer components { + .toggle-switch { + position: relative; + display: inline-block; + width: 36px; + height: 20px; + } + + .toggle-switch input { + opacity: 0; + width: 0; + height: 0; + } + + .slider { + position: absolute; + cursor: pointer; + top: 0; + left: 0; + right: 0; + bottom: 0; + background-color: theme('colors.input.bg'); + border: 1px solid theme('colors.input.border'); + transition: 0.4s; + border-radius: 20px; + } + + .slider:before { + position: absolute; + content: ''; + height: 14px; + width: 14px; + left: 2px; + bottom: 2px; + background-color: theme('colors.text.secondary'); + transition: 0.4s; + border-radius: 50%; + } + + input:checked + .slider { + background-color: theme('colors.primary.DEFAULT'); + border-color: theme('colors.primary.DEFAULT'); + } + + input:checked + .slider:before { + transform: translateX(16px); + background-color: white; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.3); + } +} diff --git a/src/popup/utils.ts b/src/popup/utils.ts deleted file mode 100644 index 7c9f463..0000000 --- a/src/popup/utils.ts +++ /dev/null @@ -1,31 +0,0 @@ -/** - * Show message into the popup - */ -export function showMessage({ - msg, - isError, - isInfinite -}: { - msg: string; - isError?: boolean; - isInfinite?: boolean; -}) { - const message: HTMLElement = document.querySelector('#message')!; - message.style.color = isError ? 'red' : 'limegreen'; - message.textContent = msg; - message.style.display = 'block'; - if (!isInfinite) setTimeout(() => (message.style.display = 'none'), 5000); -} - -/** - * Check if the current model support images integrations - * @param {string} version - * @returns - */ -export function isCurrentVersionSupportingImages(version: string) { - const versionNumber = version.match(/gpt-(\d+)/); - if (!versionNumber?.[1]) { - return false; - } - return Number(versionNumber[1]) >= 4; -} diff --git a/src/popup/version.ts b/src/popup/version.ts deleted file mode 100644 index 42aba0b..0000000 --- a/src/popup/version.ts +++ /dev/null @@ -1,61 +0,0 @@ -const CURRENT_VERSION = '1.1.5'; -const versionDisplay = document.querySelector('#version')!; - -/** - * Get the last version from the github - * @returns - */ -export async function getLastVersion(): Promise { - const req = await fetch( - 'https://raw.githubusercontent.com/yoannchb-pro/MoodleGPT/main/package.json' - ); - const rep = await req.json(); - return rep.version; -} - -/** - * Display the version or an update message - * @param {string} version - * @param {boolean} isCurrent - * @returns - */ -export function setVersion(version: string, isCurrent = true) { - if (isCurrent) { - versionDisplay.textContent = 'v' + version; - return; - } - - const link = document.createElement('a'); - link.href = 'https://github.com/yoannchb-pro/MoodleGPT'; - link.rel = 'noopener noreferrer'; - link.target = '_blank'; - link.textContent = 'v' + version; - versionDisplay.appendChild(link); - versionDisplay.appendChild(document.createTextNode(' is now available !')); -} - -/** - * Check if the extension neeed an update or not - */ -export async function notifyUpdate() { - const lastVersion = await getLastVersion().catch(err => { - console.error(err); - return CURRENT_VERSION; - }); - - const lastVertionSplitted = lastVersion.split('.'); - const currentVersionSplitted = CURRENT_VERSION.split('.'); - const minVersionLength = Math.min(lastVertionSplitted.length, currentVersionSplitted.length); - - for (let i = 0; i < minVersionLength; ++i) { - if (parseInt(lastVertionSplitted[i]) > parseInt(currentVersionSplitted[i])) { - return setVersion(lastVersion, false); - } else if (parseInt(currentVersionSplitted[i]) > parseInt(lastVertionSplitted[i])) { - return setVersion(CURRENT_VERSION); - } - } - - setVersion(CURRENT_VERSION); -} - -notifyUpdate(); diff --git a/tailwind.config.js b/tailwind.config.js new file mode 100644 index 0000000..ea2a041 --- /dev/null +++ b/tailwind.config.js @@ -0,0 +1,55 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: ['./src/popup/**/*.{js,jsx,ts,tsx}', './extension/popup/index.html'], + theme: { + extend: { + colors: { + primary: { + DEFAULT: '#6366f1', + hover: '#4f46e5' + }, + gradient: { + start: '#0f172a', + end: '#1e1b4b' + }, + panel: { + bg: 'rgba(255, 255, 255, 0.05)', + border: 'rgba(255, 255, 255, 0.1)' + }, + text: { + primary: '#f8fafc', + secondary: '#94a3b8' + }, + input: { + bg: 'rgba(0, 0, 0, 0.2)', + border: 'rgba(255, 255, 255, 0.15)', + focus: '#818cf8' + }, + success: '#10b981', + error: '#ef4444' + }, + fontFamily: { + sans: [ + 'Inter', + '-apple-system', + 'BlinkMacSystemFont', + 'Segoe UI', + 'Roboto', + 'Helvetica', + 'Arial', + 'sans-serif' + ] + }, + animation: { + float: 'float 3s ease-in-out infinite' + }, + keyframes: { + float: { + '0%, 100%': { transform: 'translateY(0)' }, + '50%': { transform: 'translateY(-4px)' } + } + } + } + }, + plugins: [] +}; diff --git a/tsconfig.json b/tsconfig.json index 71e993e..1e742c9 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -2,7 +2,8 @@ "compilerOptions": { "strict": true, "baseUrl": "src", - "module": "esnext", + "module": "ESNext", + "moduleResolution": "Bundler", "target": "ES6", "esModuleInterop": true, "allowSyntheticDefaultImports": true, @@ -11,7 +12,9 @@ "outDir": "extension", "types": ["node", "chrome"], "typeRoots": ["node_modules/@types"], - "strictBindCallApply": true + "strictBindCallApply": true, + "jsx": "react-jsx", + "jsxImportSource": "preact" }, "include": ["src/**/*"] }