diff --git a/extension/popup/index.html b/extension/popup/index.html index f6dfd7d..b184518 100644 --- a/extension/popup/index.html +++ b/extension/popup/index.html @@ -4,6 +4,14 @@ SparkAssist + + + + + @@ -12,158 +20,7 @@ href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css" /> - -
-
- SparkAssist Logo -
-

SparkAssist

-

-
-
- - -
-
- - -
-
- -
- - - -
-
-
- - - - - Show Advanced Settings - -
- - Operating Mode -
- - -
- - Options -
- -
-
- - -
-
- - -
-
- - -
-
- - -
-
- - -
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- - -
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- - -
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- - -
- -
- -

{Message}

- - - -
- - Docs -
-
+
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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,c="string"!=typeof r&&"function"===r.type&&r?.function?.name,{maxChatCompletions:u=At}=s||{},h=t.tools.map((e=>{if(Ve(e)){if(!e.$callback)throw new l("Tool given to `.runTools()` that does not have an associated function");return{type:"function",function:{function:e.$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 p="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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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 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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 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c?{...o,index:n,finish_reason:s,logprobs:r,message:{...u,role:h,content:i,refusal:t.refusal??null,tool_calls:c.map(((t,s)=>{const{function:r,type:o,id:i,...a}=t,{arguments:c,name:u,...h}=r||{};if(null==i)throw new l(`missing choices[${n}].tool_calls[${s}].id\n${ts(e)}`);if(null==o)throw new l(`missing choices[${n}].tool_calls[${s}].type\n${ts(e)}`);if(null==u)throw new l(`missing choices[${n}].tool_calls[${s}].function.name\n${ts(e)}`);if(null==c)throw new l(`missing choices[${n}].tool_calls[${s}].function.arguments\n${ts(e)}`);return{...a,id:i,type:o,function:{...h,name:u,arguments:c}}}))}}:{...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 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S}if(Object.assign(e,h),!r)continue;const{content:d,refusal:p,function_call:f,role:m,tool_calls:g,...y}=r;if(Object.assign(e.message,y),p&&(e.message.refusal=(e.message.refusal||"")+p),m&&(e.message.role=m),f&&(e.message.function_call?(f.name&&(e.message.function_call.name=f.name),f.arguments&&((n=e.message.function_call).arguments??(n.arguments=""),e.message.function_call.arguments+=f.arguments)):e.message.function_call=f),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 c=(i=e.message.tool_calls)[t]??(i[t]={});Object.assign(c,a),s&&(c.id=s),n&&(c.type=n),r&&(c.function??(c.function={name:r.name??"",arguments:""})),r?.name&&(c.function.name=r.name),r?.arguments&&(c.function.arguments+=r.arguments,Qe(o(this,Ft,"f"),c)&&(c.function.parsed_arguments=Bt(c.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 l(`Currently only \`function\` tool types support auto-parsing; Received \`${t.type}\``);if(!0!==t.function.strict)throw new l(`The \`${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 cs 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 ls extends We{create(e,t){return this._client.post("/audio/transcriptions",je({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",je({body:e,...t,__metadata:{model:e.model}},this._client))}}class hs extends We{constructor(){super(...arguments),this.transcriptions=new ls(this._client),this.translations=new us(this._client),this.speech=new cs(this._client)}}hs.Transcriptions=ls,hs.Translations=us,hs.Speech=cs;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 ps 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/${e}`,{...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class fs extends We{create(e,t){return this._client.post("/realtime/sessions",{body:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}class ms extends We{create(e,t){return this._client.post("/realtime/transcription_sessions",{body:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}}let gs=class extends We{constructor(){super(...arguments),this.sessions=new fs(this._client),this.transcriptionSessions=new ms(this._client)}};gs.Sessions=fs,gs.TranscriptionSessions=ms;class ys extends We{create(e,t,s){return this._client.post(Xe`/threads/${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,$s,As,Is,Os,ks,Rs,Es,Ps,Cs,Ts,js,qs,Ms,Ls,Ns,Ds,Ws,Bs,Us;class Fs extends St{constructor(){super(...arguments),bs.add(this),xs.set(this,[]),Ss.set(this,{}),$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",js).call(this,e);if(n.controller.signal?.aborted)throw new h;return this._addRun(o(this,bs,"m",qs).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",js).call(this,e);if(a.controller.signal?.aborted)throw new h;return this._addRun(o(this,bs,"m",qs).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 this.done(),Object.values(o(this,$s,"f"))}async finalRun(){if(await this.done(),!o(this,Is,"f"))throw Error("Final run was not received.");return o(this,Is,"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},i=await e.createAndRun(r,{...s,signal:this.controller.signal});this._connected();for await(const e of i)o(this,bs,"m",js).call(this,e);if(i.controller.signal?.aborted)throw new h;return this._addRun(o(this,bs,"m",qs).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 i={...s,stream:!0},a=await e.create(t,i,{...n,signal:this.controller.signal});this._connected();for await(const e of a)o(this,bs,"m",js).call(this,e);if(a.controller.signal?.aborted)throw new h;return this._addRun(o(this,bs,"m",qs).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(!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 _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 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missing");this._emit("textDelta",e,n.text)}if(s.index!=o(this,Os,"f")){if(o(this,ks,"f"))switch(o(this,ks,"f").type){case"text":this._emit("textDone",o(this,ks,"f").text,o(this,As,"f"));break;case"image_file":this._emit("imageFileDone",o(this,ks,"f").image_file,o(this,As,"f"))}r(this,Os,s.index)}r(this,ks,t.content[s.index])}break;case"thread.message.completed":case"thread.message.incomplete":if(void 0!==o(this,Os,"f")){const t=e.data.content[o(this,Os,"f")];if(t)switch(t.type){case"image_file":this._emit("imageFileDone",t.image_file,o(this,As,"f"));break;case"text":this._emit("textDone",t.text,o(this,As,"f"))}}o(this,As,"f")&&this._emit("messageDone",e.data),r(this,As,void 0)}},Ls=function(e){const t=o(this,bs,"m",Ds).call(this,e);switch(r(this,Ts,t),e.event){case"thread.run.step.created":this._emit("runStepCreated",e.data);break;case"thread.run.step.delta":const 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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")},Bs=function(e,t){return vs.accumulateDelta(t,e)},Us=function(e){switch(r(this,Cs,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":r(this,Is,e.data),o(this,Es,"f")&&(this._emit("toolCallDone",o(this,Es,"f")),r(this,Es,void 0))}};let Xs=class extends We{constructor(){super(...arguments),this.steps=new ws(this._client)}create(e,t,s){const{include:n,...r}=t;return this._client.post(Xe`/threads/${e}/runs`,{query:{include:n},body:r,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers]),stream:t.stream??!1})}retrieve(e,t,s){const{thread_id:n}=t;return this._client.get(Xe`/threads/${n}/runs/${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/${n}/runs/${e}`,{body:r,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}list(e,t={},s){return this._client.getAPIList(Xe`/threads/${e}/runs`,ke,{query:t,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}cancel(e,t,s){const{thread_id:n}=t;return this._client.post(Xe`/threads/${n}/runs/${e}/cancel`,{...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}async createAndPoll(e,t,s){const n=await this.create(e,t,s);return await this.poll(n.id,{thread_id:e},s)}createAndStream(e,t,s){return Fs.createAssistantStream(e,this._client.beta.threads.runs,t,s)}async poll(e,t,s){const n=as([s?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":s?.pollIntervalMs?.toString()??void 0}]);for(;;){const{data:r,response:o}=await this.retrieve(e,t,{...s,headers:{...s?.headers,...n}}).withResponse();switch(r.status){case"queued":case"in_progress":case"cancelling":let e=5e3;if(s?.pollIntervalMs)e=s.pollIntervalMs;else{const t=o.headers.get("openai-poll-after-ms");if(t){const s=parseInt(t);isNaN(s)||(e=s)}}await E(e);break;case"requires_action":case"incomplete":case"cancelled":case"completed":case"failed":case"expired":return r}}}stream(e,t,s){return Fs.createAssistantStream(e,this._client.beta.threads.runs,t,s)}submitToolOutputs(e,t,s){const{thread_id:n,...r}=t;return this._client.post(Xe`/threads/${n}/runs/${e}/submit_tool_outputs`,{body:r,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers]),stream:t.stream??!1})}async submitToolOutputsAndPoll(e,t,s){const n=await this.submitToolOutputs(e,t,s);return await this.poll(n.id,t,s)}submitToolOutputsStream(e,t,s){return Fs.createToolAssistantStream(e,this._client.beta.threads.runs,t,s)}};Xs.Steps=ws;class Hs extends We{constructor(){super(...arguments),this.runs=new Xs(this._client),this.messages=new ys(this._client)}create(e={},t){return this._client.post("/threads",{body:e,...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}retrieve(e,t){return this._client.get(Xe`/threads/${e}`,{...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}update(e,t,s){return this._client.post(Xe`/threads/${e}`,{body:t,...s,headers:as([{"OpenAI-Beta":"assistants=v2"},s?.headers])})}delete(e,t){return this._client.delete(Xe`/threads/${e}`,{...t,headers:as([{"OpenAI-Beta":"assistants=v2"},t?.headers])})}createAndRun(e,t){return this._client.post("/threads/runs",{body:e,...t,headers:as([{"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 Fs.createThreadAssistantStream(e,this._client.beta.threads,t)}}Hs.Runs=Xs,Hs.Messages=ys;class Ks extends We{constructor(){super(...arguments),this.realtime=new gs(this._client),this.assistants=new ps(this._client),this.threads=new Hs(this._client)}}Ks.Realtime=gs,Ks.Assistants=ps,Ks.Threads=Hs;class Js extends We{create(e,t){return this._client.post("/completions",{body:e,...t,stream:e.stream??!1})}}class Vs extends We{retrieve(e,t,s){const{container_id:n}=t;return this._client.get(Xe`/containers/${n}/files/${e}/content`,{...s,headers:as([{Accept:"application/binary"},s?.headers]),__binaryResponse:!0})}}let zs=class extends We{constructor(){super(...arguments),this.content=new Vs(this._client)}create(e,t,s){return this._client.post(Xe`/containers/${e}/files`,je({body:t,...s},this._client))}retrieve(e,t,s){const{container_id:n}=t;return this._client.get(Xe`/containers/${n}/files/${e}`,s)}list(e,t={},s){return this._client.getAPIList(Xe`/containers/${e}/files`,ke,{query:t,...s})}delete(e,t,s){const{container_id:n}=t;return this._client.delete(Xe`/containers/${n}/files/${e}`,{...s,headers:as([{Accept:"*/*"},s?.headers])})}};zs.Content=Vs;class Gs extends We{constructor(){super(...arguments),this.files=new zs(this._client)}create(e,t){return this._client.post("/containers",{body:e,...t})}retrieve(e,t){return this._client.get(Xe`/containers/${e}`,t)}list(e={},t){return this._client.getAPIList("/containers",ke,{query:e,...t})}delete(e,t){return this._client.delete(Xe`/containers/${e}`,{...t,headers:as([{Accept:"*/*"},t?.headers])})}}Gs.Files=zs;class Qs extends We{create(e,t,s){const{include:n,...r}=t;return this._client.post(Xe`/conversations/${e}/items`,{query:{include:n},body:r,...s})}retrieve(e,t,s){const{conversation_id:n,...r}=t;return this._client.get(Xe`/conversations/${n}/items/${e}`,{query:r,...s})}list(e,t={},s){return this._client.getAPIList(Xe`/conversations/${e}/items`,Re,{query:t,...s})}delete(e,t,s){const{conversation_id:n}=t;return this._client.delete(Xe`/conversations/${n}/items/${e}`,s)}}class Ys extends We{constructor(){super(...arguments),this.items=new Qs(this._client)}create(e={},t){return this._client.post("/conversations",{body:e,...t})}retrieve(e,t){return this._client.get(Xe`/conversations/${e}`,t)}update(e,t,s){return this._client.post(Xe`/conversations/${e}`,{body:t,...s})}delete(e,t){return this._client.delete(Xe`/conversations/${e}`,t)}}Ys.Items=Qs;class Zs extends We{create(e,t){const s=!!e.encoding_format;let n=s?e.encoding_format:"base64";s&&me(this._client).debug("embeddings/user defined encoding_format:",e.encoding_format);const r=this._client.post("/embeddings",{body:{...e,encoding_format:n},...t});return s?r:(me(this._client).debug("embeddings/decoding base64 embeddings from base64"),r._thenUnwrap((e=>(e&&e.data&&e.data.forEach((e=>{const 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this._client.get(Xe`/fine_tuning/checkpoints/${e}/permissions`,{query:t,...s})}delete(e,t,s){const{fine_tuned_model_checkpoint:n}=t;return this._client.delete(Xe`/fine_tuning/checkpoints/${n}/permissions/${e}`,s)}}let ln=class extends We{constructor(){super(...arguments),this.permissions=new cn(this._client)}};ln.Permissions=cn;class un extends We{list(e,t={},s){return this._client.getAPIList(Xe`/fine_tuning/jobs/${e}/checkpoints`,ke,{query:t,...s})}}class hn extends We{constructor(){super(...arguments),this.checkpoints=new un(this._client)}create(e,t){return this._client.post("/fine_tuning/jobs",{body:e,...t})}retrieve(e,t){return this._client.get(Xe`/fine_tuning/jobs/${e}`,t)}list(e={},t){return this._client.getAPIList("/fine_tuning/jobs",ke,{query:e,...t})}cancel(e,t){return this._client.post(Xe`/fine_tuning/jobs/${e}/cancel`,t)}listEvents(e,t={},s){return this._client.getAPIList(Xe`/fine_tuning/jobs/${e}/events`,ke,{query:t,...s})}pause(e,t){return 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please check `.hasNextPage()` before calling `.getNextPage()`.");return await me(this,Pt,"f").requestAPIList(this.constructor,e)}async*iterPages(){let e=this;for(yield e;e.hasNextPage();)e=await e.getNextPage(),yield e}async*[(Pt=new WeakMap,Symbol.asyncIterator)](){for await(const e of this.iterPages())for(const t of e.getPaginatedItems())yield t}}class Lt extends Mt{constructor(e,t,n){super(e,t,(async(e,t)=>new n(e,t.response,await Tt(e,t),t.options)))}async*[Symbol.asyncIterator](){const e=await(this);for await(const t of e)yield t}}class Dt extends Nt{constructor(e,t,n,s){super(e,t,n,s),this.data=n.data||[],this.object=n.object}getPaginatedItems(){return this.data??[]}nextPageRequestOptions(){return null}}class qt extends Nt{constructor(e,t,n,s){super(e,t,n,s),this.data=n.data||[],this.has_more=n.has_more||!1}getPaginatedItems(){return this.data??[]}hasNextPage(){return!1!==this.has_more&&super.hasNextPage()}nextPageRequestOptions(){const e=this.getPaginatedItems(),t=e[e.length-1]?.id;return t?{...this.options,query:{...qe(this.options.query),after:t}}:null}}class Wt extends Nt{constructor(e,t,n,s){super(e,t,n,s),this.data=n.data||[],this.has_more=n.has_more||!1,this.last_id=n.last_id||""}getPaginatedItems(){return this.data??[]}hasNextPage(){return!1!==this.has_more&&super.hasNextPage()}nextPageRequestOptions(){const e=this.last_id;return e?{...this.options,query:{...qe(this.options.query),after:e}}:null}}const Bt=()=>{if("undefined"==typeof File){const{process:e}=globalThis,t="string"==typeof e?.versions?.node&&parseInt(e.versions.node.split("."))<20;throw new Error("`File` is not defined as a global, which is required for file uploads."+(t?" 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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. Please try again`;this._addMessage({role:s,tool_call_id:t,content:e});continue}let i;try{i=Nn(o)?await o.parse(r):r}catch(e){const n=e instanceof Error?e.message:String(e);this._addMessage({role:s,tool_call_id:t,content:n});continue}const l=await o.function(i,this),c=me(this,In,"m",jn).call(this,l);if(this._addMessage({role:s,tool_call_id:t,content:c}),a)return}}}}In=new WeakSet,On=function(){return me(this,In,"m",Rn).call(this).content??null},Rn=function(){let e=this.messages.length;for(;e-- >0;){const t=this.messages[e];if(hn(t)){return{...t,content:t.content??null,refusal:t.refusal??null}}}throw new we("stream ended without producing a ChatCompletionMessage with role=assistant")},Pn=function(){for(let e=this.messages.length-1;e>=0;e--){const t=this.messages[e];if(hn(t)&&t?.tool_calls?.length)return t.tool_calls.filter((e=>"function"===e.type)).at(-1)?.function}},Cn=function(){for(let e=this.messages.length-1;e>=0;e--){const t=this.messages[e];if(pn(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}},En=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},Tn=function(e){if(null!=e.n&&e.n>1)throw new we("ChatCompletion convenience helpers only support n=1 at this time. 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/${e}/files`,qt,{query:r,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}async poll(e,t,n){const s=bs([n?.headers,{"X-Stainless-Poll-Helper":"true","X-Stainless-Custom-Poll-Interval":n?.pollIntervalMs?.toString()??void 0}]);for(;;){const{data:r,response:o}=await this.retrieve(t,{vector_store_id:e},{...n,headers:s}).withResponse();switch(r.status){case"in_progress":let e=5e3;if(n?.pollIntervalMs)e=n.pollIntervalMs;else{const t=o.headers.get("openai-poll-after-ms");if(t){const n=parseInt(t);isNaN(n)||(e=n)}}await Be(e);break;case"failed":case"cancelled":case"completed":return r}}}async uploadAndPoll(e,{files:t,fileIds:n=[]},s){if(null==t||0==t.length)throw new Error("No `files` provided to process. If you've already uploaded files you should use `.createAndPoll()` instead");const r=s?.maxConcurrency??5,o=Math.min(r,t.length),i=this._client,a=t.values(),l=[...n];const c=Array(o).fill(a).map((async function(e){for(let t of e){const e=await i.files.create({file:t,purpose:"assistants"},s);l.push(e.id)}}));return await(async e=>{const t=await Promise.allSettled(e),n=t.filter((e=>"rejected"===e.status));if(n.length){for(const e of n)console.error(e.reason);throw new Error(`${n.length} promise(s) failed - see the above errors`)}const s=[];for(const e of t)"fulfilled"===e.status&&s.push(e.value);return s})(c),await this.createAndPoll(e,{file_ids:l})}}class Gr extends Qt{create(e,t,n){return this._client.post(tn`/vector_stores/${e}/files`,{body:t,...n,headers:bs([{"OpenAI-Beta":"assistants=v2"},n?.headers])})}retrieve(e,t,n){const{vector_store_id:s}=t;return this._client.get(tn`/vector_stores/${s}/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 crypto||"function"!=typeof crypto.subtle.importKey||"function"!=typeof crypto.subtle.verify)throw new Error("Webhook signature verification is only supported when the `crypto` global is defined");me(this,Yr,"m",Zr).call(this,n);const r=bs([t]).values,o=me(this,Yr,"m",eo).call(this,r,"webhook-signature"),i=me(this,Yr,"m",eo).call(this,r,"webhook-timestamp"),a=me(this,Yr,"m",eo).call(this,r,"webhook-id"),l=parseInt(i,10);if(isNaN(l))throw new Me("Invalid webhook timestamp format");const c=Math.floor(Date.now()/1e3);if(c-l>s)throw new Me("Webhook timestamp is too old");if(l>c+s)throw new Me("Webhook timestamp is too new");const u=o.split(" ").map((e=>e.startsWith("v1,")?e.substring(3):e)),d=n.startsWith("whsec_")?Buffer.from(n.replace("whsec_",""),"base64"):Buffer.from(n,"utf-8"),h=a?`${a}.${i}.${e}`:`${i}.${e}`,p=await crypto.subtle.importKey("raw",d,{name:"HMAC",hash:"SHA-256"},!1,["verify"]);for(const e of u)try{const t=Buffer.from(e,"base64");if(await 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. Please pass an `apiKey`, or set the `OPENAI_API_KEY` environment variable.");const i={apiKey:t,organization:n,project:s,webhookSecret:r,...o,baseURL:e||"https://api.openai.com/v1"};if(!i.dangerouslyAllowBrowser&&"undefined"!=typeof window&&void 0!==window.document&&"undefined"!=typeof navigator)throw new we("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");this.baseURL=i.baseURL,this.timeout=i.timeout??no.DEFAULT_TIMEOUT,this.logger=i.logger??console;const a="warn";this.logLevel=a,this.logLevel=vt(i.logLevel,"ClientOptions.logLevel",this)??vt(Cs("OPENAI_LOG"),"process.env['OPENAI_LOG']",this)??a,this.fetchOptions=i.fetchOptions,this.maxRetries=i.maxRetries??2,this.fetch=i.fetch??function(){if("undefined"!=typeof fetch)return fetch;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`")}(),_e(this,so,Ge),this._options=i,this.apiKey="string"==typeof t?t:"Missing Key",this.organization=n,this.project=s,this.webhookSecret=r}withOptions(e){return new this.constructor({...this._options,baseURL:this.baseURL,maxRetries:this.maxRetries,timeout:this.timeout,logger:this.logger,logLevel:this.logLevel,fetch:this.fetch,fetchOptions:this.fetchOptions,apiKey:this.apiKey,organization:this.organization,project:this.project,webhookSecret:this.webhookSecret,...e})}defaultQuery(){return this._options.defaultQuery}validateHeaders({values:e,nulls:t}){}async authHeaders(e){return bs([{Authorization:`Bearer ${this.apiKey}`}])}stringifyQuery(e){return ut(e,{arrayFormat:"brackets"})}getUserAgent(){return`${this.constructor.name}/JS ${Ue}`}defaultIdempotencyKey(){return`stainless-node-retry-${ge()}`}makeStatusError(e,t,n,s){return ve.generate(e,t,n,s)}async _callApiKey(){const e=this._options.apiKey;if("function"!=typeof e)return!1;let t;try{t=await e()}catch(e){if(e instanceof we)throw e;throw new we(`Failed to get token from 'apiKey' function: ${e.message}`,{cause:e})}if("string"!=typeof t||!t)throw new we(`Expected 'apiKey' function argument to return a string but it returned ${t}`);return this.apiKey=t,!0}buildURL(e,t,n){const s=!me(this,to,"m",ro).call(this)&&n||this.baseURL,r=(e=>Ne.test(e))(e)?new URL(e):new URL(s+(s.endsWith("/")&&e.startsWith("/")?e.slice(1):e)),o=this.defaultQuery();return function(e){if(!e)return!0;for(const t in 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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 = 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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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","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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'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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\ No newline at end of file diff --git a/extension/popup/style.css b/extension/popup/style.css index a28af50..f3fabe2 100644 --- a/extension/popup/style.css +++ b/extension/popup/style.css @@ -1,218 +1,564 @@ -@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600&display=swap'); - -:root { - --bg-color: #0b0f19; - --panel-bg: rgba(255, 255, 255, 0.05); - --color: #e2e8f0; - --color-muted: #94a3b8; - --btn-color: #8a2be2; - --btn-hover: #9d4edd; - --accent: #00f0ff; - --border-color: rgba(255, 255, 255, 0.1); - --font-family: 'Inter', sans-serif; +*, ::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: ; } -* { +::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: var(--font-family); - 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: 100vh; - background-color: var(--bg-color); - background-image: - radial-gradient(circle at top right, rgba(138, 43, 226, 0.15), transparent 60%), - radial-gradient(circle at bottom left, rgba(0, 240, 255, 0.15), transparent 60%); - display: flex; - justify-content: center; - align-items: flex-start; + min-height: 500px; } -main { - display: flex; - flex-direction: column; - padding: 1.5rem; - gap: 1rem; - width: 100%; -} - -/* Header */ -.header { - display: flex; - align-items: center; - gap: 1rem; - margin-bottom: 0.5rem; -} - -.header img { - width: 3.5rem; - filter: drop-shadow(0 0 8px rgba(0, 240, 255, 0.5)); -} - -.header-text h1 { - font-size: 1.5rem; - font-weight: 600; - background: linear-gradient(90deg, #00f0ff, #8a2be2); - -webkit-background-clip: text; - -webkit-text-fill-color: transparent; -} - -#version { - font-size: 0.8rem; - color: var(--color-muted); -} - -/* Panels */ -.panel { - background: var(--panel-bg); - border: 1px solid var(--border-color); - border-radius: 12px; - padding: 1rem; - backdrop-filter: blur(10px); - display: flex; - flex-direction: column; - gap: 0.8rem; -} - -/* Form Groups */ -.form-group { - display: flex; - flex-direction: column; - gap: 0.3rem; - text-align: left; -} - -.form-group label { - font-size: 0.8rem; - color: var(--color-muted); - text-transform: uppercase; - letter-spacing: 0.5px; -} - -.form-group label .required { - color: var(--accent); - margin-left: 2px; -} - -.input-with-icon { - display: flex; - align-items: center; - gap: 0.5rem; -} - -.input-with-icon input { - flex: 1; -} - -.input-with-icon i { - color: var(--accent); - cursor: pointer; - transition: transform 0.2s; -} - -.input-with-icon i:hover { - transform: scale(1.1); -} - -input[type='text'], -input[type='password'], -input[type='number'] { - width: 100%; - background: rgba(0, 0, 0, 0.3); - border: 1px solid var(--border-color); - padding: 0.6rem; - border-radius: 6px; - outline: none; - transition: - border-color 0.2s, - box-shadow 0.2s; -} - -input[type='text']:focus, -input[type='password']:focus, -input[type='number']:focus { - border-color: var(--accent); - box-shadow: 0 0 0 2px rgba(0, 240, 255, 0.2); -} - -#switch-settings { - font-size: 0.8rem; - color: var(--color-muted); - text-decoration: none; - text-align: center; - display: block; - transition: color 0.2s; -} - -#switch-settings:hover { - color: var(--accent); -} - -/* Mode Buttons */ -.section-title { - display: flex; - align-items: center; - gap: 0.5rem; - font-size: 0.9rem; - font-weight: 500; - margin-top: 0.5rem; -} - -.section-title i { - color: var(--btn-color); -} - -#mode { - display: flex; - gap: 0.5rem; - list-style: none; -} - -#mode li { - flex: 1; -} - -#mode button { - width: 100%; - background-color: transparent; - border: 1px solid var(--btn-color); - color: var(--color); - padding: 0.5rem; - border-radius: 6px; - cursor: pointer; - text-transform: uppercase; - font-size: 0.8rem; - transition: all 0.2s; -} - -#mode button:not(.not-selected) { - background-color: var(--btn-color); - box-shadow: 0 0 10px rgba(138, 43, 226, 0.4); -} - -/* Toggle Switches for Options */ -.options-grid { - display: grid; - grid-template-columns: 1fr 1fr; - gap: 0.8rem; -} - -.toggle-row { - display: flex; - align-items: center; - justify-content: space-between; -} - -.toggle-row label { - font-size: 0.85rem; - cursor: pointer; -} - -/* Custom Checkbox as Toggle */ .toggle-switch { position: relative; display: inline-block; @@ -233,8 +579,9 @@ input[type='number']:focus { left: 0; right: 0; bottom: 0; - background-color: rgba(255, 255, 255, 0.1); - transition: 0.3s; + background-color: rgba(0, 0, 0, 0.2); + border: 1px solid rgba(255, 255, 255, 0.15); + transition: 0.4s; border-radius: 20px; } @@ -243,70 +590,502 @@ input[type='number']:focus { content: ''; height: 14px; width: 14px; - left: 3px; - bottom: 3px; - background-color: white; - transition: 0.3s; + left: 2px; + bottom: 2px; + background-color: #94a3b8; + transition: 0.4s; border-radius: 50%; } input:checked + .slider { - background-color: var(--accent); - box-shadow: 0 0 8px var(--accent); + 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); } -/* Actions */ -.save { - background: linear-gradient(90deg, var(--btn-color), var(--accent)); - border: none; - padding: 0.8rem; - border-radius: 8px; - color: #fff; - font-weight: 600; - font-size: 1rem; - cursor: pointer; - width: 100%; - transition: - transform 0.2s, - box-shadow 0.2s; +.\!visible { + visibility: visible !important; } -.save:hover { - transform: translateY(-2px); - box-shadow: 0 4px 15px rgba(138, 43, 226, 0.5); +.visible { + visibility: visible; } -#message { - display: none; - font-size: 0.85rem; - text-align: center; - color: var(--accent); +.absolute { + position: absolute; } -/* Footer Links */ -.footer { - display: flex; - justify-content: center; - gap: 1rem; +.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; } -.footer a { - font-size: 0.8rem; - color: var(--color-muted); - text-decoration: none; - transition: color 0.2s; +.box-border { + box-sizing: border-box; } -.footer a:hover { - color: var(--accent); +.block { + display: block; } -.donate { - color: var(--accent) !important; - font-weight: bold; +.flex { + display: flex; +} + +.grid { + display: grid; +} + +.h-12 { + height: 3rem; +} + +.min-h-\[18px\] { + min-height: 18px; +} + +.min-h-screen { + min-height: 100vh; +} + +.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; +} + +.justify-between { + justify-content: space-between; +} + +.gap-2 { + gap: 0.5rem; +} + +.gap-4 { + gap: 1rem; +} + +.gap-5 { + gap: 1.25rem; +} + +.gap-6 { + gap: 1.5rem; +} + +.overflow-hidden { + overflow: hidden; +} + +.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; +} + +.bg-gradient-to-br { + background-image: linear-gradient(to bottom right, var(--tw-gradient-stops)); +} + +.bg-gradient-to-r { + background-image: linear-gradient(to right, var(--tw-gradient-stops)); +} + +.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); +} + +.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); +} + +.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); +} + +.to-gradient-end { + --tw-gradient-to: #1e1b4b var(--tw-gradient-to-position); +} + +.to-indigo-400 { + --tw-gradient-to: #818cf8 var(--tw-gradient-to-position); +} + +.to-primary-hover { + --tw-gradient-to: #4f46e5 var(--tw-gradient-to-position); +} + +.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; +} + +.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; +} + +.font-bold { + font-weight: 700; +} + +.font-medium { + font-weight: 500; +} + +.font-semibold { + font-weight: 600; +} + +.text-amber-400 { + --tw-text-opacity: 1; + color: rgb(251 191 36 / var(--tw-text-opacity, 1)); +} + +.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/package-lock.json b/package-lock.json index 8cc4fd4..9db7c8e 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,26 +8,46 @@ "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", "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" } }, + "node_modules/@alloc/quick-lru": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", + "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/@eslint-community/eslint-utils": { "version": "4.7.0", "resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.7.0.tgz", @@ -414,6 +434,28 @@ } } }, + "node_modules/@rollup/plugin-replace": { + "version": "6.0.3", + "resolved": "https://registry.npmjs.org/@rollup/plugin-replace/-/plugin-replace-6.0.3.tgz", + "integrity": "sha512-J4RZarRvQAm5IF0/LwUUg+obsm+xZhYnbMXmXROyoSE1ATJe3oXSb9L5MMppdxP2ylNSjv6zFBwKYjcKMucVfA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@rollup/pluginutils": "^5.0.1", + "magic-string": "^0.30.3" + }, + "engines": { + "node": ">=14.0.0" + }, + "peerDependencies": { + "rollup": "^1.20.0||^2.0.0||^3.0.0||^4.0.0" + }, + "peerDependenciesMeta": { + "rollup": { + "optional": true + } + } + }, "node_modules/@rollup/plugin-terser": { "version": "0.4.4", "resolved": "https://registry.npmjs.org/@rollup/plugin-terser/-/plugin-terser-0.4.4.tgz", @@ -1163,6 +1205,47 @@ "url": "https://github.com/chalk/ansi-styles?sponsor=1" } }, + "node_modules/any-promise": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/any-promise/-/any-promise-1.3.0.tgz", + "integrity": "sha512-7UvmKalWRt1wgjL1RrGxoSJW/0QZFIegpeGvZG9kjp8vrRu55XTHbwnqq2GpXm9uLbcuhxm3IqX9OB4MZR1b2A==", + "dev": true, + "license": "MIT" + }, + "node_modules/anymatch": { + "version": "3.1.3", + "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz", + "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==", + "dev": true, + "license": "ISC", + "dependencies": { + "normalize-path": "^3.0.0", + "picomatch": "^2.0.4" + }, + "engines": { + "node": ">= 8" + } + }, + "node_modules/anymatch/node_modules/picomatch": { + 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}, + "node_modules/baseline-browser-mapping": { + "version": "2.10.27", + "resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.27.tgz", + "integrity": "sha512-zEs/ufmZoUd7WftKpKyXaT6RFxpQ5Qm9xytKRHvJfxFV9DFJkZph9RvJ1LcOUi0Z1ZVijMte65JbILeV+8QQEA==", + "dev": true, + "license": "Apache-2.0", + "bin": { + "baseline-browser-mapping": "dist/cli.cjs" + }, + "engines": { + "node": ">=6.0.0" + } + }, + "node_modules/binary-extensions": { + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz", + "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/brace-expansion": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz", @@ 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}, "node_modules/chalk": { "version": "4.1.2", @@ -1310,6 +1469,44 @@ "url": "https://github.com/chalk/chalk?sponsor=1" } }, + "node_modules/chokidar": { + "version": "3.6.0", + "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz", + "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==", + "dev": true, + "license": "MIT", + "dependencies": { + "anymatch": "~3.1.2", + "braces": "~3.0.2", + "glob-parent": "~5.1.2", + "is-binary-path": "~2.1.0", + "is-glob": "~4.0.1", + "normalize-path": "~3.0.0", + "readdirp": "~3.6.0" + }, + "engines": { + "node": ">= 8.10.0" + }, + "funding": { + "url": "https://paulmillr.com/funding/" + }, + "optionalDependencies": { + "fsevents": "~2.3.2" + } + }, + "node_modules/chokidar/node_modules/glob-parent": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz", + "integrity": 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"^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 2827ff4..699d6f4 100644 --- a/package.json +++ b/package.json @@ -3,9 +3,10 @@ "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/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/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 16dd610..0000000 --- a/src/popup/gpt-version.ts +++ /dev/null @@ -1,142 +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')!; -const projectIdSelector: HTMLInputElement = document.querySelector('#projectId')!; -const maxTokensSelector: HTMLInputElement = document.querySelector('#maxTokens')!; -/** - * 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(); - const projectId = projectIdSelector.value?.trim(); - - if (!apiKey) return; - - inputModel.innerHTML = ''; - - try { - const client = new OpenAI({ - apiKey, - baseURL, - project: projectId, - 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(); - const projectId = projectIdSelector.value?.trim(); - const maxTokens = maxTokensSelector.value ? parseInt(maxTokensSelector.value) : undefined; - - try { - showMessage({ msg: 'Checking GPT version...', isInfinite: true, isError: false }); - const client = new OpenAI({ - apiKey, - baseURL, - project: projectId, - 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.'); - } - - showMessage({ msg: 'The model is valid and supports structured outputs!' }); - } 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 3299b4a..0000000 --- a/src/popup/index.ts +++ /dev/null @@ -1,91 +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', 'projectId', 'timeoutValue']; - -// Save the configuration -saveBtn.addEventListener('click', function () { - const [apiKey, code, model, baseURL, maxTokens, projectId, timeoutValue] = 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, - projectId, - timeoutValue: timeoutValue ? parseInt(timeoutValue) : 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 25c0805..0000000 --- a/src/popup/mode-handler.ts +++ /dev/null @@ -1,42 +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'] -}; - -/** - * 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 2ff3e17..0000000 --- a/src/popup/version.ts +++ /dev/null @@ -1,61 +0,0 @@ -const CURRENT_VERSION = '2.0.0'; -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 f9a22c7..1e742c9 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -12,7 +12,9 @@ "outDir": "extension", "types": ["node", "chrome"], "typeRoots": ["node_modules/@types"], - "strictBindCallApply": true + "strictBindCallApply": true, + "jsx": "react-jsx", + "jsxImportSource": "preact" }, "include": ["src/**/*"] }