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| import { createParser } from 'eventsource-parser'; | |
| export const OPENAI_API_HOST = process.env.OPENAI_API_HOST || "https://api.openai.com"; | |
| export const OPENAI_API_TYPE = process.env.OPENAI_API_TYPE || "openai"; | |
| export class LLMError extends Error { | |
| constructor(message, type, param, code) { | |
| super(message); | |
| this.name = 'LLMError'; | |
| this.type = type; | |
| this.param = param; | |
| this.code = code; | |
| } | |
| } | |
| export const LLMStream = async ( | |
| model, | |
| systemPrompt, | |
| temperature, | |
| messages | |
| ) => { | |
| let url = `${OPENAI_API_HOST}/v1/chat/completions`; | |
| const res = await fetch(url, { | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| ...(OPENAI_API_TYPE === 'openai' && { | |
| Authorization: `Bearer ${process.env.OPENAI_API_KEY}` | |
| }) | |
| }, | |
| method: 'POST', | |
| body: JSON.stringify({ | |
| ...(OPENAI_API_TYPE === 'openai' && {model: model.id}), | |
| messages: [ | |
| { | |
| role: 'system', | |
| content: systemPrompt, | |
| }, | |
| ...messages, | |
| ], | |
| max_tokens: 1000, | |
| temperature: temperature, | |
| stream: true | |
| }), | |
| }); | |
| const encoder = new TextEncoder(); | |
| const decoder = new TextDecoder(); | |
| if (res.status !== 200) { | |
| const result = await res.json(); | |
| if (result.error) { | |
| throw new LLMError( | |
| result.error.message, | |
| result.error.type, | |
| result.error.param, | |
| result.error.code, | |
| ); | |
| } else { | |
| throw new Error( | |
| `OpenAI API returned an error: ${ | |
| decoder.decode(result?.value) || result.statusText | |
| }`, | |
| ); | |
| } | |
| } | |
| const stream = new ReadableStream({ | |
| async start(controller) { | |
| const onParse = async (event) => { | |
| if (event.type === 'event') { | |
| console.log(event); | |
| const data = event.data; | |
| try { | |
| if (data === '[DONE]') { | |
| return; | |
| } | |
| const json = JSON.parse(data); | |
| if (json.choices[0].finish_reason === "stop") { | |
| controller.close(); | |
| return; | |
| } else if (json.choices[0].finish_reason === "function_call") { | |
| const fnName = json.choices[0].message.function_call.name; | |
| const args = json.choices[0].message.function_call.arguments; | |
| const fn = functions[fnName]; | |
| const functionResult = await fn(...Object.values(JSON.parse(args))); | |
| console.log(`Function call: ${fnName}, Arguments: ${args}`); | |
| console.log(`Calling Function ${fnName} Result: ` + functionResult); | |
| const queue = encoder.encode(functionResult); | |
| controller.enqueue(queue); | |
| } else { | |
| const text = json.choices[0].delta.content; | |
| const queue = encoder.encode(text); | |
| controller.enqueue(queue); | |
| } | |
| } catch (e) { | |
| console.log(e); | |
| controller.error(e); | |
| } | |
| } | |
| }; | |
| const parser = createParser(onParse); | |
| for await (const chunk of res.body) { | |
| parser.feed(decoder.decode(chunk)); | |
| } | |
| }, | |
| }); | |
| return stream; | |
| }; | |