76 lines
1.8 KiB
TypeScript
76 lines
1.8 KiB
TypeScript
import { Message, OpenAIModel } from '@/types';
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import {
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createParser,
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ParsedEvent,
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ReconnectInterval,
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} from 'eventsource-parser';
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import { OPENAI_API_HOST } from '../app/const';
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export const OpenAIStream = async (
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model: OpenAIModel,
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systemPrompt: string,
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key: string,
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messages: Message[],
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) => {
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const res = await fetch(`${OPENAI_API_HOST}/v1/chat/completions`, {
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${key ? key : process.env.OPENAI_API_KEY}`,
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},
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method: 'POST',
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body: JSON.stringify({
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model: model.id,
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messages: [
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{
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role: 'system',
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content: systemPrompt,
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},
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...messages,
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],
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max_tokens: 1000,
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temperature: 1,
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stream: true,
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}),
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});
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if (res.status !== 200) {
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const statusText = res.statusText;
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throw new Error(`OpenAI API returned an error: ${statusText}`);
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}
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const encoder = new TextEncoder();
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const decoder = new TextDecoder();
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const stream = new ReadableStream({
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async start(controller) {
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const onParse = (event: ParsedEvent | ReconnectInterval) => {
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if (event.type === 'event') {
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const data = event.data;
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if (data === '[DONE]') {
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controller.close();
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return;
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}
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try {
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const json = JSON.parse(data);
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const text = json.choices[0].delta.content;
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const queue = encoder.encode(text);
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controller.enqueue(queue);
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} catch (e) {
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controller.error(e);
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}
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}
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};
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const parser = createParser(onParse);
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for await (const chunk of res.body as any) {
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parser.feed(decoder.decode(chunk));
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}
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},
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});
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return stream;
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};
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