import type { NextApiRequest, NextApiResponse } from 'next'; import { connectToDatabase } from '@/service/mongo'; import { authShareChat } from '@/service/utils/auth'; import { modelServiceToolMap } from '@/service/utils/chat'; import { ChatItemSimpleType } from '@/types/chat'; import { jsonRes } from '@/service/response'; import { ChatModelMap, ModelVectorSearchModeMap } from '@/constants/model'; import { pushChatBill, updateShareChatBill } from '@/service/events/pushBill'; import { resStreamResponse } from '@/service/utils/chat'; import { ChatRoleEnum } from '@/constants/chat'; import { BillTypeEnum } from '@/constants/user'; import { sensitiveCheck } from '@/service/api/text'; import { appKbSearch } from '../../openapi/kb/appKbSearch'; /* 发送提示词 */ export default async function handler(req: NextApiRequest, res: NextApiResponse) { res.on('error', () => { console.log('error: ', 'request error'); res.end(); }); try { const { shareId, password, historyId, prompts } = req.body as { prompts: ChatItemSimpleType[]; password: string; shareId: string; historyId: string; }; if (!historyId || !prompts) { throw new Error('分享链接无效'); } await connectToDatabase(); let startTime = Date.now(); const { model, userOpenAiKey, systemAuthKey, userId } = await authShareChat({ shareId, password }); const modelConstantsData = ChatModelMap[model.chat.chatModel]; const { code = 200, systemPrompts = [] } = await (async () => { // 使用了知识库搜索 if (model.chat.relatedKbs.length > 0) { const { code, searchPrompts } = await appKbSearch({ model, userId, fixedQuote: [], prompt: prompts[prompts.length - 1], similarity: ModelVectorSearchModeMap[model.chat.searchMode]?.similarity }); return { code, systemPrompts: searchPrompts }; } if (model.chat.systemPrompt) { return { systemPrompts: [ { obj: ChatRoleEnum.System, value: model.chat.systemPrompt } ] }; } return {}; })(); // search result is empty if (code === 201) { return res.send(systemPrompts[0]?.value); } prompts.unshift(...systemPrompts); // content check await sensitiveCheck({ input: [...systemPrompts, prompts[prompts.length - 1]].map((item) => item.value).join('') }); // 计算温度 const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed( 2 ); // 发出请求 const { streamResponse, responseMessages } = await modelServiceToolMap[ model.chat.chatModel ].chatCompletion({ apiKey: userOpenAiKey || systemAuthKey, temperature: +temperature, messages: prompts, stream: true, res, chatId: historyId }); console.log('api response time:', `${(Date.now() - startTime) / 1000}s`); if (res.closed) return res.end(); try { const { totalTokens, finishMessages } = await resStreamResponse({ model: model.chat.chatModel, res, chatResponse: streamResponse, prompts: responseMessages }); res.end(); /* bill */ pushChatBill({ isPay: !userOpenAiKey, chatModel: model.chat.chatModel, userId, textLen: finishMessages.map((item) => item.value).join('').length, tokens: totalTokens, type: BillTypeEnum.chat }); updateShareChatBill({ shareId, tokens: totalTokens }); } catch (error) { res.end(); console.log('error,结束', error); } } catch (err: any) { res.status(500); jsonRes(res, { code: 500, error: err }); } }