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| import { Message } from '@/types/chat'; | |
| import { OpenAIModel } from '@/types/openai'; | |
| import { AZURE_DEPLOYMENT_ID, OPENAI_API_HOST, OPENAI_API_TYPE, OPENAI_API_VERSION, OPENAI_ORGANIZATION } from '../app/const'; | |
| import { | |
| ParsedEvent, | |
| ReconnectInterval, | |
| createParser, | |
| } from 'eventsource-parser'; | |
| export class OpenAIError extends Error { | |
| type: string; | |
| param: string; | |
| code: string; | |
| constructor(message: string, type: string, param: string, code: string) { | |
| super(message); | |
| this.name = 'OpenAIError'; | |
| this.type = type; | |
| this.param = param; | |
| this.code = code; | |
| } | |
| } | |
| export const OpenAIStream = async ( | |
| model: OpenAIModel, | |
| systemPrompt: string, | |
| temperature : number, | |
| key: string, | |
| messages: Message[], | |
| ) => { | |
| let url = `${OPENAI_API_HOST}/v1/chat/completions`; | |
| if (OPENAI_API_TYPE === 'azure') { | |
| url = `${OPENAI_API_HOST}/openai/deployments/${AZURE_DEPLOYMENT_ID}/chat/completions?api-version=${OPENAI_API_VERSION}`; | |
| } | |
| const res = await fetch(url, { | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| ...(OPENAI_API_TYPE === 'openai' && { | |
| Authorization: `Bearer ${key ? key : process.env.OPENAI_API_KEY}` | |
| }), | |
| ...(OPENAI_API_TYPE === 'azure' && { | |
| 'api-key': `${key ? key : process.env.OPENAI_API_KEY}` | |
| }), | |
| ...((OPENAI_API_TYPE === 'openai' && OPENAI_ORGANIZATION) && { | |
| 'OpenAI-Organization': OPENAI_ORGANIZATION, | |
| }), | |
| }, | |
| 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 OpenAIError( | |
| 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 = (event: ParsedEvent | ReconnectInterval) => { | |
| if (event.type === 'event') { | |
| const data = event.data; | |
| try { | |
| const json = JSON.parse(data); | |
| if (json.choices[0].finish_reason != null) { | |
| controller.close(); | |
| return; | |
| } | |
| const text = json.choices[0].delta.content; | |
| const queue = encoder.encode(text); | |
| controller.enqueue(queue); | |
| } catch (e) { | |
| controller.error(e); | |
| } | |
| } | |
| }; | |
| const parser = createParser(onParse); | |
| for await (const chunk of res.body as any) { | |
| parser.feed(decoder.decode(chunk)); | |
| } | |
| }, | |
| }); | |
| return stream; | |
| }; | |