mirror of
https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
synced 2025-05-23 14:10:18 +09:00
332 lines
10 KiB
TypeScript
332 lines
10 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { getServerSideConfig } from "@/app/config/server";
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import { auth } from "../../../auth";
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import { ChatOpenAI } from "langchain/chat_models/openai";
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import { BaseCallbackHandler } from "langchain/callbacks";
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import { AIMessage, HumanMessage, SystemMessage } from "langchain/schema";
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import { BufferMemory, ChatMessageHistory } from "langchain/memory";
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import { initializeAgentExecutorWithOptions } from "langchain/agents";
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import { ACCESS_CODE_PREFIX } from "@/app/constant";
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import * as langchainTools from "langchain/tools";
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import { HttpGetTool } from "@/app/api/langchain-tools/http_get";
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import { DuckDuckGo } from "@/app/api/langchain-tools/duckduckgo_search";
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import { DynamicTool, Tool } from "langchain/tools";
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import { BaiduSearch } from "@/app/api/langchain-tools/baidu_search";
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import { GoogleSearch } from "@/app/api/langchain-tools/google_search";
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export interface RequestMessage {
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role: string;
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content: string;
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}
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export interface RequestBody {
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messages: RequestMessage[];
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model: string;
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stream?: boolean;
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temperature: number;
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presence_penalty?: number;
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frequency_penalty?: number;
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top_p?: number;
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baseUrl?: string;
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apiKey?: string;
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maxIterations: number;
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returnIntermediateSteps: boolean;
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useTools: (undefined | string)[];
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}
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export class ResponseBody {
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isSuccess: boolean = true;
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message!: string;
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isToolMessage: boolean = false;
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toolName?: string;
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}
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export interface ToolInput {
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input: string;
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}
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export class AgentApi {
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private encoder: TextEncoder;
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private transformStream: TransformStream;
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private writer: WritableStreamDefaultWriter<any>;
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constructor(
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encoder: TextEncoder,
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transformStream: TransformStream,
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writer: WritableStreamDefaultWriter<any>,
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) {
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this.encoder = encoder;
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this.transformStream = transformStream;
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this.writer = writer;
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}
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async getHandler(reqBody: any) {
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var writer = this.writer;
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var encoder = this.encoder;
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return BaseCallbackHandler.fromMethods({
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async handleLLMNewToken(token: string) {
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if (token) {
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var response = new ResponseBody();
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response.message = token;
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await writer.ready;
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await writer.write(
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encoder.encode(`data: ${JSON.stringify(response)}\n\n`),
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);
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}
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},
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async handleChainError(err, runId, parentRunId, tags) {
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console.log("[handleChainError]", err, "writer error");
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var response = new ResponseBody();
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response.isSuccess = false;
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response.message = err;
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await writer.ready;
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await writer.write(
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encoder.encode(`data: ${JSON.stringify(response)}\n\n`),
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);
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await writer.close();
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},
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async handleChainEnd(outputs, runId, parentRunId, tags) {
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console.log("[handleChainEnd]");
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await writer.ready;
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await writer.close();
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},
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async handleLLMEnd() {
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// await writer.ready;
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// await writer.close();
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},
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async handleLLMError(e: Error) {
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console.log("[handleLLMError]", e, "writer error");
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var response = new ResponseBody();
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response.isSuccess = false;
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response.message = e.message;
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await writer.ready;
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await writer.write(
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encoder.encode(`data: ${JSON.stringify(response)}\n\n`),
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);
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await writer.close();
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},
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handleLLMStart(llm, _prompts: string[]) {
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// console.log("handleLLMStart: I'm the second handler!!", { llm });
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},
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handleChainStart(chain) {
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// console.log("handleChainStart: I'm the second handler!!", { chain });
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},
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async handleAgentAction(action) {
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try {
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console.log("[handleAgentAction]", action.tool);
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if (!reqBody.returnIntermediateSteps) return;
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var response = new ResponseBody();
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response.isToolMessage = true;
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response.message = JSON.stringify(action.toolInput);
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response.toolName = action.tool;
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await writer.ready;
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await writer.write(
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encoder.encode(`data: ${JSON.stringify(response)}\n\n`),
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);
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} catch (ex) {
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console.error("[handleAgentAction]", ex);
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var response = new ResponseBody();
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response.isSuccess = false;
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response.message = (ex as Error).message;
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await writer.ready;
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await writer.write(
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encoder.encode(`data: ${JSON.stringify(response)}\n\n`),
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);
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await writer.close();
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}
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},
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handleToolStart(tool, input) {
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console.log("[handleToolStart]", { tool });
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},
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async handleToolEnd(output, runId, parentRunId, tags) {
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console.log("[handleToolEnd]", { output, runId, parentRunId, tags });
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},
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handleAgentEnd(action, runId, parentRunId, tags) {
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console.log("[handleAgentEnd]");
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},
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});
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}
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async getOpenAIApiKey(token: string) {
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const serverConfig = getServerSideConfig();
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const isOpenAiKey = !token.startsWith(ACCESS_CODE_PREFIX);
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let apiKey = serverConfig.apiKey;
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if (isOpenAiKey && token) {
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apiKey = token;
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}
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return apiKey;
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}
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async getOpenAIBaseUrl(reqBaseUrl: string | undefined) {
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const serverConfig = getServerSideConfig();
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let baseUrl = "https://api.openai.com/v1";
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if (serverConfig.baseUrl) baseUrl = serverConfig.baseUrl;
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if (reqBaseUrl?.startsWith("http://") || reqBaseUrl?.startsWith("https://"))
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baseUrl = reqBaseUrl;
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if (!baseUrl.endsWith("/v1"))
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baseUrl = baseUrl.endsWith("/") ? `${baseUrl}v1` : `${baseUrl}/v1`;
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console.log("[baseUrl]", baseUrl);
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return baseUrl;
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}
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async getApiHandler(
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req: NextRequest,
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reqBody: RequestBody,
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customTools: any[],
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) {
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if (req.method === "OPTIONS") {
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return NextResponse.json({ body: "OK" }, { status: 200 });
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}
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try {
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const authResult = auth(req);
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if (authResult.error) {
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return NextResponse.json(authResult, {
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status: 401,
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});
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}
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const serverConfig = getServerSideConfig();
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// const reqBody: RequestBody = await req.json();
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const authToken = req.headers.get("Authorization") ?? "";
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const token = authToken.trim().replaceAll("Bearer ", "").trim();
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const isOpenAiKey = !token.startsWith(ACCESS_CODE_PREFIX);
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let useTools = reqBody.useTools ?? [];
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let apiKey = serverConfig.apiKey;
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if (isOpenAiKey && token) {
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apiKey = token;
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}
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let baseUrl = "https://api.openai.com/v1";
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if (serverConfig.baseUrl) baseUrl = serverConfig.baseUrl;
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if (
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reqBody.baseUrl?.startsWith("http://") ||
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reqBody.baseUrl?.startsWith("https://")
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)
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baseUrl = reqBody.baseUrl;
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if (!baseUrl.endsWith("/v1"))
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baseUrl = baseUrl.endsWith("/") ? `${baseUrl}v1` : `${baseUrl}/v1`;
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console.log("[baseUrl]", baseUrl);
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var handler = await this.getHandler(reqBody);
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let searchTool: Tool = new DuckDuckGo();
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if (process.env.CHOOSE_SEARCH_ENGINE) {
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switch (process.env.CHOOSE_SEARCH_ENGINE) {
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case "google":
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searchTool = new GoogleSearch();
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break;
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case "baidu":
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searchTool = new BaiduSearch();
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break;
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}
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}
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if (process.env.BING_SEARCH_API_KEY) {
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let bingSearchTool = new langchainTools["BingSerpAPI"](
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process.env.BING_SEARCH_API_KEY,
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);
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searchTool = new DynamicTool({
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name: "bing_search",
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description: bingSearchTool.description,
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func: async (input: string) => bingSearchTool.call(input),
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});
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}
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if (process.env.SERPAPI_API_KEY) {
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let serpAPITool = new langchainTools["SerpAPI"](
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process.env.SERPAPI_API_KEY,
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);
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searchTool = new DynamicTool({
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name: "google_search",
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description: serpAPITool.description,
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func: async (input: string) => serpAPITool.call(input),
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});
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}
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const tools = [];
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if (useTools.includes("web-search")) tools.push(searchTool);
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console.log(customTools);
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customTools.forEach((customTool) => {
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if (customTool) {
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if (useTools.includes(customTool.name)) {
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tools.push(customTool);
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}
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}
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});
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useTools.forEach((toolName) => {
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if (toolName) {
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var tool = langchainTools[
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toolName as keyof typeof langchainTools
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] as any;
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if (tool) {
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tools.push(new tool());
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}
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}
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});
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const pastMessages = new Array();
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reqBody.messages
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.slice(0, reqBody.messages.length - 1)
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.forEach((message) => {
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if (message.role === "system")
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pastMessages.push(new SystemMessage(message.content));
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if (message.role === "user")
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pastMessages.push(new HumanMessage(message.content));
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if (message.role === "assistant")
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pastMessages.push(new AIMessage(message.content));
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});
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const memory = new BufferMemory({
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memoryKey: "chat_history",
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returnMessages: true,
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inputKey: "input",
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outputKey: "output",
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chatHistory: new ChatMessageHistory(pastMessages),
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});
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const llm = new ChatOpenAI(
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{
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modelName: reqBody.model,
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openAIApiKey: apiKey,
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temperature: reqBody.temperature,
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streaming: reqBody.stream,
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topP: reqBody.top_p,
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presencePenalty: reqBody.presence_penalty,
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frequencyPenalty: reqBody.frequency_penalty,
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},
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{ basePath: baseUrl },
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);
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const executor = await initializeAgentExecutorWithOptions(tools, llm, {
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agentType: "openai-functions",
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returnIntermediateSteps: reqBody.returnIntermediateSteps,
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maxIterations: reqBody.maxIterations,
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memory: memory,
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});
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executor.call(
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{
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input: reqBody.messages.slice(-1)[0].content,
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},
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[handler],
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);
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console.log("returning response");
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return new Response(this.transformStream.readable, {
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headers: { "Content-Type": "text/event-stream" },
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});
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} catch (e) {
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return new Response(JSON.stringify({ error: (e as any).message }), {
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status: 500,
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headers: { "Content-Type": "application/json" },
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});
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}
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}
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}
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