README.md

@@ -9,11 +9,11 @@
 ![](https://img.shields.io/github/forks/llm-red-team/glm-free-api.svg)
 ![](https://img.shields.io/docker/pulls/vinlic/glm-free-api.svg)
 
-支持GLM-4-Plus高速流式输出、支持多轮对话、支持智能体对话、支持沉思模型、支持Zero思考推理模型、支持视频生成、支持AI绘图、支持联网搜索、支持长文档解读、支持图像解析，零配置部署，多路token支持，自动清理会话痕迹。
+支持高速流式输出、支持多轮对话、支持智能体对话、支持视频生成、支持AI绘图、支持联网搜索、支持长文档解读、支持图像解析，零配置部署，多路token支持，自动清理会话痕迹。
 
 与ChatGPT接口完全兼容。
 
-还有以下十个free-api欢迎关注：
+还有以下九个free-api欢迎关注：
 
 Moonshot AI（Kimi.ai）接口转API [kimi-free-api](https://github.com/LLM-Red-Team/kimi-free-api)
 
@@ -25,8 +25,6 @@ Moonshot AI（Kimi.ai）接口转API [kimi-free-api](https://github.com/LLM-Red-
 
 字节跳动（豆包）接口转API [doubao-free-api](https://github.com/LLM-Red-Team/doubao-free-api)
 
-字节跳动（即梦AI）接口转API [jimeng-free-api](https://github.com/LLM-Red-Team/jimeng-free-api)
-
 讯飞星火（Spark）接口转API [spark-free-api](https://github.com/LLM-Red-Team/spark-free-api)
 
 MiniMax（海螺AI）接口转API [hailuo-free-api](https://github.com/LLM-Red-Team/hailuo-free-api)
@@ -37,40 +35,29 @@ MiniMax（海螺AI）接口转API [hailuo-free-api](https://github.com/LLM-Red-T
 
 ## 目录
 
-- [GLM AI Free 服务](#glm-ai-free-服务)
+* [免责声明](#免责声明)
-  - [目录](#目录)
+* [在线体验](#在线体验)
-  - [免责声明](#免责声明)
+* [效果示例](#效果示例)
-  - [效果示例](#效果示例)
+* [接入准备](#接入准备)
-    - [验明正身Demo](#验明正身demo)
+  * [智能体接入](#智能体接入)
-    - [智能体对话Demo](#智能体对话demo)
+  * [多账号接入](#多账号接入)
-    - [结合Dify工作流Demo](#结合dify工作流demo)
+* [Docker部署](#Docker部署)
-    - [多轮对话Demo](#多轮对话demo)
+  * [Docker-compose部署](#Docker-compose部署)
-    - [视频生成Demo](#视频生成demo)
+  * [Render部署](#Render部署)
-    - [AI绘图Demo](#ai绘图demo)
+  * [Vercel部署](#Vercel部署)
-    - [联网搜索Demo](#联网搜索demo)
+* [原生部署](#原生部署)
-    - [长文档解读Demo](#长文档解读demo)
+* [推荐使用客户端](#推荐使用客户端)
-    - [代码调用Demo](#代码调用demo)
+* [接口列表](#接口列表)
-    - [图像解析Demo](#图像解析demo)
+  * [对话补全](#对话补全)
-  - [接入准备](#接入准备)
+  * [视频生成](#视频生成)
-    - [智能体接入](#智能体接入)
+  * [AI绘图](#AI绘图)
-    - [多账号接入](#多账号接入)
+  * [文档解读](#文档解读)
-  - [Docker部署](#docker部署)
+  * [图像解析](#图像解析)
-    - [Docker-compose部署](#docker-compose部署)
+  * [refresh_token存活检测](#refresh_token存活检测)
-    - [Render部署](#render部署)
+* [注意事项](#注意事项)
-    - [Vercel部署](#vercel部署)
+  * [Nginx反代优化](#Nginx反代优化)
-  - [原生部署](#原生部署)
+  * [Token统计](#Token统计)
-  - [推荐使用客户端](#推荐使用客户端)
+* [Star History](#star-history)
-  - [接口列表](#接口列表)
-    - [对话补全](#对话补全)
-    - [视频生成](#视频生成)
-    - [AI绘图](#ai绘图)
-    - [文档解读](#文档解读)
-    - [图像解析](#图像解析)
-    - [refresh\_token存活检测](#refresh_token存活检测)
-  - [注意事项](#注意事项)
-    - [Nginx反代优化](#nginx反代优化)
-    - [Token统计](#token统计)
-  - [Star History](#star-history)
   
 ## 免责声明
 
@@ -84,6 +71,12 @@ MiniMax（海螺AI）接口转API [hailuo-free-api](https://github.com/LLM-Red-T
 
 **仅限自用，禁止对外提供服务或商用，避免对官方造成服务压力，否则风险自担！**
 
+## 在线体验
+
+此链接仅临时测试功能，只有一路并发，如果遇到异常请稍后重试，建议自行部署使用。
+
+https://udify.app/chat/Pe89TtaX3rKXM8NS
+
 ## 效果示例
 
 ### 验明正身Demo
@@ -298,11 +291,8 @@ Authorization: Bearer [refresh_token]
 请求数据：
 ```json
 {
-    // 默认模型：glm-4-plus
+    // 如果使用智能体请填写智能体ID到此处，否则可以乱填
-    // zero思考推理模型：glm-4-zero / glm-4-think
+    "model": "glm4",
-    // 沉思模型：glm-4-deepresearch
-    // 如果使用智能体请填写智能体ID到此处
-    "model": "glm-4-plus",
     // 目前多轮对话基于消息合并实现，某些场景可能导致能力下降且受单轮最大token数限制
     // 如果您想获得原生的多轮对话体验，可以传入首轮消息获得的id，来接续上下文
     // "conversation_id": "65f6c28546bae1f0fbb532de",
@@ -322,7 +312,7 @@ Authorization: Bearer [refresh_token]
 {
     // 如果想获得原生多轮对话体验，此id，你可以传入到下一轮对话的conversation_id来接续上下文
     "id": "65f6c28546bae1f0fbb532de",
-    "model": "glm-4",
+    "model": "glm4",
     "object": "chat.completion",
     "choices": [
         {
@@ -447,7 +437,7 @@ Authorization: Bearer [refresh_token]
 ```json
 {
     // 如果使用智能体请填写智能体ID到此处，否则可以乱填
-    "model": "glm-4",
+    "model": "glm4",
     "messages": [
         {
             "role": "user",
@@ -474,7 +464,7 @@ Authorization: Bearer [refresh_token]
 ```json
 {
     "id": "cnmuo7mcp7f9hjcmihn0",
-    "model": "glm-4",
+    "model": "glm4",
     "object": "chat.completion",
     "choices": [
         {

README_EN.md

@@ -5,7 +5,7 @@
 ![](https://img.shields.io/github/forks/llm-red-team/glm-free-api.svg)
 ![](https://img.shields.io/docker/pulls/vinlic/glm-free-api.svg)
 
-Supports high-speed streaming output, multi-turn dialogues, internet search, long document reading, image analysis, deepresearch, zero-configuration deployment, multi-token support, and automatic session trace cleanup.
+Supports high-speed streaming output, multi-turn dialogues, internet search, long document reading, image analysis, zero-configuration deployment, multi-token support, and automatic session trace cleanup.
 
 Fully compatible with the ChatGPT interface.
 
@@ -33,41 +33,29 @@ Lingxin Intelligence (Emohaa) API to API [emohaa-free-api](https://github.com/LL
 
 ## Table of Contents
 
-- [GLM AI Free Service](#glm-ai-free-service)
+* [Announcement](#Announcement)
-  - [Table of Contents](#table-of-contents)
+* [Online Experience](#Online-Experience)
-  - [Announcement](#announcement)
+* [Effect Examples](#Effect-Examples)
-  - [Online Experience](#online-experience)
+* [Access Preparation](#Access-Preparation)
-  - [Effect Examples](#effect-examples)
+    * [Agent Access](#Agent-Access)
-    - [Identity Verification](#identity-verification)
+    * [Multiple Account Access](#Multiple-Account-Access)
-    - [AI-Agent](#ai-agent)
+* [Docker Deployment](#Docker-Deployment)
-    - [Combined with Dify workflow](#combined-with-dify-workflow)
+    * [Docker-compose Deployment](#Docker-compose-Deployment)
-    - [Multi-turn Dialogue](#multi-turn-dialogue)
+    * [Render Deployment](#Render-Deployment)
-    - [Video Generation](#video-generation)
+    * [Vercel Deployment](#Vercel-Deployment)
-    - [AI Drawing](#ai-drawing)
+* [Native Deployment](#Native-Deployment)
-    - [Internet Search](#internet-search)
+* [Recommended Clients](#Recommended-Clients)
-    - [Long Document Reading](#long-document-reading)
+* [Interface List](#Interface-List)
-    - [Using Code](#using-code)
+    * [Conversation Completion](#Conversation-Completion)
-    - [Image Analysis](#image-analysis)
+    * [Video Generation](#Video-Generation)
-  - [Access Preparation](#access-preparation)
+    * [AI Drawing](#AI-Drawing)
-    - [Agent Access](#agent-access)
+    * [Document Interpretation](#Document-Interpretation)
-    - [Multiple Account Access](#multiple-account-access)
+    * [Image Analysis](#Image-Analysis)
-  - [Docker Deployment](#docker-deployment)
+    * [Refresh_token Survival Detection](#Refresh_token-Survival-Detection)
-    - [Docker-compose Deployment](#docker-compose-deployment)
+* [Notification](#Notification)
-    - [Render Deployment](#render-deployment)
+    * [Nginx Anti-generation Optimization](#Nginx-Anti-generation-Optimization)
-    - [Vercel Deployment](#vercel-deployment)
+    * [Token Statistics](#Token-Statistics)
-  - [Native Deployment](#native-deployment)
+* [Star History](#star-history)
-  - [Recommended Clients](#recommended-clients)
-  - [interface List](#interface-list)
-    - [Conversation Completion](#conversation-completion)
-    - [Video Generation](#video-generation-1)
-    - [AI Drawing](#ai-drawing-1)
-    - [Document Interpretation](#document-interpretation)
-    - [Image Analysis](#image-analysis-1)
-    - [Refresh\_token Survival Detection](#refresh_token-survival-detection)
-  - [Notification](#notification)
-    - [Nginx Anti-generation Optimization](#nginx-anti-generation-optimization)
-    - [Token Statistics](#token-statistics)
-  - [Star History](#star-history)
   
 ## Announcement
 
@@ -301,11 +289,8 @@ Authorization: Bearer [refresh_token]
 Request data:
 ```json
 {
-    // Default model: glm-4-plus
+    // Except using the Agent to fill the ID, fill in the model name as you like.
-    // zero thinking model: glm-4-zero / glm-4-think
+    "model": "glm4",
-    // deepresearch model: glm-4-deepresearch
-    // If using the Agent, fill in the Agent ID here
-    "model": "glm-4",
     // Currently, multi-round conversations are realized based on message merging, which in some scenarios may lead to capacity degradation and is limited by the maximum number of tokens in a single round.
     // If you want a native multi-round dialog experience, you can pass in the ids obtained from the last round of messages to pick up the context
     // "conversation_id": "65f6c28546bae1f0fbb532de",
@@ -324,7 +309,7 @@ Response data：
 ```json
 {
     "id": "65f6c28546bae1f0fbb532de",
-    "model": "glm-4",
+    "model": "glm4",
     "object": "chat.completion",
     "choices": [
         {
@@ -449,7 +434,7 @@ Request data:
 ```json
 {
     // 如果使用智能体请填写智能体ID到此处，否则可以乱填
-    "model": "glm-4",
+    "model": "glm4",
     "messages": [
         {
             "role": "user",
@@ -476,7 +461,7 @@ Response data:
 ```json
 {
     "id": "cnmuo7mcp7f9hjcmihn0",
-    "model": "glm-4",
+    "model": "glm4",
     "object": "chat.completion",
     "choices": [
         {

package.json

@@ -1,6 +1,6 @@
 {
   "name": "glm-free-api",
-  "version": "0.0.37",
+  "version": "0.0.33",
   "description": "GLM Free API Server",
   "type": "module",
   "main": "dist/index.js",

src/api/controllers/chat.ts

@@ -3,6 +3,7 @@ import path from "path";
 import _ from "lodash";
 import mime from "mime";
 import sharp from "sharp";
+import fs from "fs-extra";
 import FormData from "form-data";
 import axios, { AxiosResponse } from "axios";
 
@@ -16,8 +17,6 @@ import util from "@/lib/util.ts";
 const MODEL_NAME = "glm";
 // 默认的智能体ID，GLM4
 const DEFAULT_ASSISTANT_ID = "65940acff94777010aa6b796";
-// 签名密钥（官网变化记得更新）
-const SIGN_SECRET = "8a1317a7468aa3ad86e997d08f3f31cb";
 // access_token有效期
 const ACCESS_TOKEN_EXPIRES = 3600;
 // 最大重试次数
@@ -26,28 +25,17 @@ const MAX_RETRY_COUNT = 3;
 const RETRY_DELAY = 5000;
 // 伪装headers
 const FAKE_HEADERS = {
-  "Accept": "application/json, text/plain, */*",
+  Accept: "*/*",
-  "Accept-Encoding": "gzip, deflate, br, zstd",
-  "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
-  "Cache-Control": "no-cache",
   "App-Name": "chatglm",
-  "Origin": "https://chatglm.cn",
+  Platform: "pc",
-  "Pragma": "no-cache",
+  Origin: "https://chatglm.cn",
-  "sec-ch-ua":
+  "Sec-Ch-Ua":
-    '"Chromium";v="134", "Not:A-Brand";v="24", "Google Chrome";v="134"',
+    '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"',
-  "sec-ch-ua-mobile": "?0",
+  "Sec-Ch-Ua-Mobile": "?0",
-  "sec-ch-ua-platform": '"macOS"',
+  "Sec-Ch-Ua-Platform": '"Windows"',
-  "Sec-Fetch-Dest": "empty",
-  "Sec-Fetch-Mode": "cors",
-  "Sec-Fetch-Site": "same-origin",
   "User-Agent":
-    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36",
+    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
-  'X-App-Platform': 'pc',
+  Version: "0.0.1",
-  'X-App-Version': '0.0.1',
-  'X-Device-Brand': '',
-  'X-Device-Model': '',
-  'X-Exp-Groups': 'na_android_config:exp:NA,na_4o_config:exp:4o_A,na_glm4plus_config:exp:open,mainchat_server_app:exp:A,mobile_history_daycheck:exp:a,desktop_toolbar:exp:A,chat_drawing_server:exp:A,drawing_server_cogview:exp:cogview4,app_welcome_v2:exp:B,chat_drawing_streamv2:exp:A,mainchat_rm_fc:exp:add,mainchat_dr:exp:open,chat_auto_entrance:exp:A',
-  'X-Lang': 'zh'
 };
 // 文件最大大小
 const FILE_MAX_SIZE = 100 * 1024 * 1024;
@@ -56,29 +44,6 @@ const accessTokenMap = new Map();
 // access_token请求队列映射
 const accessTokenRequestQueueMap: Record<string, Function[]> = {};
 
-/**
- * 生成sign
- */
-async function generateSign() {
-  // 智谱的时间戳算法（官网变化记得更新）
-  const e = Date.now()
-              , A = e.toString()
-              , t = A.length
-              , o = A.split("").map((e => Number(e)))
-              , i = o.reduce(( (e, A) => e + A), 0) - o[t - 2]
-              , a = i % 10;
-  const timestamp = A.substring(0, t - 2) + a + A.substring(t - 1, t);
-  // 随机UUID
-  const nonce = util.uuid(false);
-  // 签名
-  const sign = util.md5(`${timestamp}-${nonce}-${SIGN_SECRET}`);
-  return {
-    timestamp,
-    nonce,
-    sign
-  }
-}
-
 /**
  * 请求access_token
  *
@@ -94,32 +59,26 @@ async function requestToken(refreshToken: string) {
   accessTokenRequestQueueMap[refreshToken] = [];
   logger.info(`Refresh token: ${refreshToken}`);
   const result = await (async () => {
-    // 生成sign
-    const sign = await generateSign();
     const result = await axios.post(
-      "https://chatglm.cn/chatglm/user-api/user/refresh",
+      "https://chatglm.cn/chatglm/backend-api/v1/user/refresh",
       {},
       {
         headers: {
-          // Referer: "https://chatglm.cn/main/alltoolsdetail",
           Authorization: `Bearer ${refreshToken}`,
-          "Content-Type": "application/json",
+          Referer: "https://chatglm.cn/main/alltoolsdetail",
-          ...FAKE_HEADERS,
           "X-Device-Id": util.uuid(false),
-          "X-Nonce": sign.nonce,
           "X-Request-Id": util.uuid(false),
-          "X-Sign": sign.sign,
+          ...FAKE_HEADERS,
-          "X-Timestamp": `${sign.timestamp}`,
         },
         timeout: 15000,
         validateStatus: () => true,
       }
     );
     const { result: _result } = checkResult(result, refreshToken);
-    const { access_token, refresh_token } = _result;
+    const { accessToken } = _result;
     return {
-      accessToken: access_token,
+      accessToken,
-      refreshToken: refresh_token,
+      refreshToken,
       refreshTime: util.unixTimestamp() + ACCESS_TOKEN_EXPIRES,
     };
   })()
@@ -179,7 +138,7 @@ async function removeConversation(
   assistantId = DEFAULT_ASSISTANT_ID
 ) {
   const token = await acquireToken(refreshToken);
-  const sign = await generateSign();
+
   const result = await axios.post(
     "https://chatglm.cn/chatglm/backend-api/assistant/conversation/delete",
     {
@@ -192,9 +151,6 @@ async function removeConversation(
         Referer: `https://chatglm.cn/main/alltoolsdetail`,
         "X-Device-Id": util.uuid(false),
         "X-Request-Id": util.uuid(false),
-        "X-Sign": sign.sign,
-        "X-Timestamp": sign.timestamp,
-        "X-Nonce": sign.nonce,
         ...FAKE_HEADERS,
       },
       timeout: 15000,
@@ -209,13 +165,13 @@ async function removeConversation(
  *
  * @param messages 参考gpt系列消息格式，多轮对话请完整提供上下文
  * @param refreshToken 用于刷新access_token的refresh_token
- * @param model 智能体ID，默认使用GLM4原版
+ * @param assistantId 智能体ID，默认使用GLM4原版
  * @param retryCount 重试次数
  */
 async function createCompletion(
   messages: any[],
   refreshToken: string,
-  model = MODEL_NAME,
+  assistantId = DEFAULT_ASSISTANT_ID,
   refConvId = "",
   retryCount = 0
 ) {
@@ -233,22 +189,8 @@ async function createCompletion(
     // 如果引用对话ID不正确则重置引用
     if (!/[0-9a-zA-Z]{24}/.test(refConvId)) refConvId = "";
 
-    let assistantId = /^[a-z0-9]{24,}$/.test(model) ? model : DEFAULT_ASSISTANT_ID;
-    let chatMode = '';
-
-    if(model.indexOf('think') != -1 || model.indexOf('zero') != -1) {
-      chatMode = 'zero';
-      logger.info('使用【推理】模型');
-    }
-    
-    if(model.indexOf('deepresearch') != -1) {
-      chatMode = 'deep_research';
-      logger.info('使用【沉思（DeepResearch）】模型');
-    }
-
     // 请求流
     const token = await acquireToken(refreshToken);
-    const sign = await generateSign();
     const result = await axios.post(
       "https://chatglm.cn/chatglm/backend-api/assistant/stream",
       {
@@ -257,25 +199,21 @@ async function createCompletion(
         messages: messagesPrepare(messages, refs, !!refConvId),
         meta_data: {
           channel: "",
-          chat_mode: chatMode || undefined,
           draft_id: "",
-          if_plus_model: true,
           input_question_type: "xxxx",
-          is_networking: true,
           is_test: false,
-          platform: "pc",
-          quote_log_id: ""
         },
       },
       {
         headers: {
           Authorization: `Bearer ${token}`,
-          ...FAKE_HEADERS,
+          Referer:
+            assistantId == DEFAULT_ASSISTANT_ID
+              ? "https://chatglm.cn/main/alltoolsdetail"
+              : `https://chatglm.cn/main/gdetail/${assistantId}`,
           "X-Device-Id": util.uuid(false),
           "X-Request-Id": util.uuid(false),
-          "X-Sign": sign.sign,
+          ...FAKE_HEADERS,
-          "X-Timestamp": sign.timestamp,
-          "X-Nonce": sign.nonce,
         },
         // 120秒超时
         timeout: 120000,
@@ -293,7 +231,7 @@ async function createCompletion(
 
     const streamStartTime = util.timestamp();
     // 接收流为输出文本
-    const answer = await receiveStream(model, result.data);
+    const answer = await receiveStream(result.data);
     logger.success(
       `Stream has completed transfer ${util.timestamp() - streamStartTime}ms`
     );
@@ -313,7 +251,7 @@ async function createCompletion(
         return createCompletion(
           messages,
           refreshToken,
-          model,
+          assistantId,
           refConvId,
           retryCount + 1
         );
@@ -328,13 +266,13 @@ async function createCompletion(
  *
  * @param messages 参考gpt系列消息格式，多轮对话请完整提供上下文
  * @param refreshToken 用于刷新access_token的refresh_token
- * @param model 智能体ID，默认使用GLM4原版
+ * @param assistantId 智能体ID，默认使用GLM4原版
  * @param retryCount 重试次数
  */
 async function createCompletionStream(
   messages: any[],
   refreshToken: string,
-  model = MODEL_NAME,
+  assistantId = DEFAULT_ASSISTANT_ID,
   refConvId = "",
   retryCount = 0
 ) {
@@ -352,22 +290,8 @@ async function createCompletionStream(
     // 如果引用对话ID不正确则重置引用
     if (!/[0-9a-zA-Z]{24}/.test(refConvId)) refConvId = "";
 
-    let assistantId = /^[a-z0-9]{24,}$/.test(model) ? model : DEFAULT_ASSISTANT_ID;
-    let chatMode = '';
-
-    if(model.indexOf('think') != -1 || model.indexOf('zero') != -1) {
-      chatMode = 'zero';
-      logger.info('使用【推理】模型');
-    }
-
-    if(model.indexOf('deepresearch') != -1) {
-      chatMode = 'deep_research';
-      logger.info('使用【沉思（DeepResearch）】模型');
-    }
-
     // 请求流
     const token = await acquireToken(refreshToken);
-    const sign = await generateSign();
     const result = await axios.post(
       `https://chatglm.cn/chatglm/backend-api/assistant/stream`,
       {
@@ -376,14 +300,9 @@ async function createCompletionStream(
         messages: messagesPrepare(messages, refs, !!refConvId),
         meta_data: {
           channel: "",
-          chat_mode: chatMode || undefined,
           draft_id: "",
-          if_plus_model: true,
           input_question_type: "xxxx",
-          is_networking: true,
           is_test: false,
-          platform: "pc",
-          quote_log_id: ""
         },
       },
       {
@@ -395,9 +314,6 @@ async function createCompletionStream(
               : `https://chatglm.cn/main/gdetail/${assistantId}`,
           "X-Device-Id": util.uuid(false),
           "X-Request-Id": util.uuid(false),
-          "X-Sign": sign.sign,
-          "X-Timestamp": sign.timestamp,
-          "X-Nonce": sign.nonce,
           ...FAKE_HEADERS,
         },
         // 120秒超时
@@ -438,7 +354,7 @@ async function createCompletionStream(
 
     const streamStartTime = util.timestamp();
     // 创建转换流将消息格式转换为gpt兼容格式
-    return createTransStream(model, result.data, (convId: string) => {
+    return createTransStream(result.data, (convId: string) => {
       logger.success(
         `Stream has completed transfer ${util.timestamp() - streamStartTime}ms`
       );
@@ -456,7 +372,7 @@ async function createCompletionStream(
         return createCompletionStream(
           messages,
           refreshToken,
-          model,
+          assistantId,
           refConvId,
           retryCount + 1
         );
@@ -482,7 +398,6 @@ async function generateImages(
     ];
     // 请求流
     const token = await acquireToken(refreshToken);
-    const sign = await generateSign();
     const result = await axios.post(
       "https://chatglm.cn/chatglm/backend-api/assistant/stream",
       {
@@ -492,11 +407,8 @@ async function generateImages(
         meta_data: {
           channel: "",
           draft_id: "",
-          if_plus_model: true,
           input_question_type: "xxxx",
           is_test: false,
-          platform: "pc",
-          quote_log_id: ""
         },
       },
       {
@@ -505,9 +417,6 @@ async function generateImages(
           Referer: `https://chatglm.cn/main/gdetail/${model}`,
           "X-Device-Id": util.uuid(false),
           "X-Request-Id": util.uuid(false),
-          "X-Sign": sign.sign,
-          "X-Timestamp": sign.timestamp,
-          "X-Nonce": sign.nonce,
           ...FAKE_HEADERS,
         },
         // 120秒超时
@@ -588,7 +497,6 @@ async function generateVideos(
 
     // 发起生成请求
     let token = await acquireToken(refreshToken);
-    const sign = await generateSign();
     const result = await axios.post(
       `https://chatglm.cn/chatglm/video-api/v1/chat`,
       {
@@ -607,9 +515,6 @@ async function generateVideos(
           Referer: "https://chatglm.cn/video",
           "X-Device-Id": util.uuid(false),
           "X-Request-Id": util.uuid(false),
-          "X-Sign": sign.sign,
-          "X-Timestamp": sign.timestamp,
-          "X-Nonce": sign.nonce,
           ...FAKE_HEADERS,
         },
         // 30秒超时
@@ -627,7 +532,6 @@ async function generateVideos(
       if (util.unixTimestamp() - startTime > 600)
         throw new APIException(EX.API_VIDEO_GENERATION_FAILED);
       const token = await acquireToken(refreshToken);
-      const sign = await generateSign();
       const result = await axios.get(
         `https://chatglm.cn/chatglm/video-api/v1/chat/status/${chatId}`,
         {
@@ -636,9 +540,6 @@ async function generateVideos(
             Referer: "https://chatglm.cn/video",
             "X-Device-Id": util.uuid(false),
             "X-Request-Id": util.uuid(false),
-            "X-Sign": sign.sign,
-            "X-Timestamp": sign.timestamp,
-            "X-Nonce": sign.nonce,
             ...FAKE_HEADERS,
           },
           // 30秒超时
@@ -663,7 +564,6 @@ async function generateVideos(
         if (options.audioId) {
           const [key, id] = options.audioId.split("-");
           const token = await acquireToken(refreshToken);
-          const sign = await generateSign();
           const result = await axios.post(
             `https://chatglm.cn/chatglm/video-api/v1/static/composite_video`,
             {
@@ -677,9 +577,6 @@ async function generateVideos(
                 Referer: "https://chatglm.cn/video",
                 "X-Device-Id": util.uuid(false),
                 "X-Request-Id": util.uuid(false),
-                "X-Sign": sign.sign,
-                "X-Timestamp": sign.timestamp,
-                "X-Nonce": sign.nonce,
                 ...FAKE_HEADERS,
               },
               // 30秒超时
@@ -1001,24 +898,20 @@ function checkResult(result: AxiosResponse, refreshToken: string) {
   if (!_.isFinite(code) && !_.isFinite(status)) return result.data;
   if (code === 0 || status === 0) return result.data;
   if (code == 401) accessTokenMap.delete(refreshToken);
-  if (message.includes('40102')) {
-    throw new APIException(EX.API_REQUEST_FAILED, `[请求glm失败]: 您的refresh_token已过期，请重新登录获取`);
-  }
   throw new APIException(EX.API_REQUEST_FAILED, `[请求glm失败]: ${message}`);
 }
 
 /**
  * 从流接收完整的消息内容
  *
- * @param model 模型
  * @param stream 消息流
  */
-async function receiveStream(model: string, stream: any): Promise<any> {
+async function receiveStream(stream: any): Promise<any> {
   return new Promise((resolve, reject) => {
     // 消息初始化
     const data = {
       id: "",
-      model,
+      model: MODEL_NAME,
       object: "chat.completion",
       choices: [
         {
@@ -1030,10 +923,6 @@ async function receiveStream(model: string, stream: any): Promise<any> {
       usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
       created: util.unixTimestamp(),
     };
-    const isSilentModel = model.indexOf('silent') != -1;
-    const isThinkModel = model.indexOf('think') != -1 || model.indexOf('zero') != -1;
-    let thinkingText = "";
-    let thinking = false;
     let toolCall = false;
     let codeGenerating = false;
     let textChunkLength = 0;
@@ -1041,7 +930,6 @@ async function receiveStream(model: string, stream: any): Promise<any> {
     let lastExecutionOutput = "";
     let textOffset = 0;
     let refContent = "";
-    logger.info(`是否静默模型: ${isSilentModel}`);
     const parser = createParser((event) => {
       try {
         if (event.type !== "event") return;
@@ -1060,7 +948,6 @@ async function receiveStream(model: string, stream: any): Promise<any> {
                 status: partStatus,
                 type,
                 text,
-                think,
                 image,
                 code,
                 content,
@@ -1070,7 +957,6 @@ async function receiveStream(model: string, stream: any): Promise<any> {
                 textChunkLength = 0;
                 innerStr += "\n";
               }
-
               if (type == "text") {
                 if (toolCall) {
                   innerStr += "\n";
@@ -1079,29 +965,11 @@ async function receiveStream(model: string, stream: any): Promise<any> {
                 }
                 if (partStatus == "finish") textChunkLength = text.length;
                 return innerStr + text;
-              } else if (type == "think" && isThinkModel && !isSilentModel) {
-                if (toolCall) {
-                  innerStr += "\n";
-                  textOffset++;
-                  toolCall = false;
-                }
-                if (partStatus == "finish") textChunkLength = think.length;
-                thinkingText += think.substring(thinkingText.length, think.length);
-                return innerStr;
-              } else if (type == "think" && !isSilentModel) {
-                if (toolCall) {
-                  innerStr += "\n";
-                  textOffset++;
-                  toolCall = false;
-                }
-                thinkingText += text;
-                return innerStr;
               } else if (
                 type == "quote_result" &&
                 status == "finish" &&
                 meta_data &&
-                _.isArray(meta_data.metadata_list) &&
+                _.isArray(meta_data.metadata_list)
-                !isSilentModel
               ) {
                 refContent = meta_data.metadata_list.reduce((meta, v) => {
                   return meta + `${v.title} - ${v.url}\n`;
@@ -1164,8 +1032,6 @@ async function receiveStream(model: string, stream: any): Promise<any> {
           );
           data.choices[0].message.content += chunk;
         } else {
-          if(thinkingText)
-            data.choices[0].message.content = `<think>\n${thinkingText}</think>\n\n${data.choices[0].message.content}`;
           data.choices[0].message.content =
             data.choices[0].message.content.replace(
               /【\d+†(来源|源|source)】/g,
@@ -1193,23 +1059,18 @@ async function receiveStream(model: string, stream: any): Promise<any> {
  *
  * 将流格式转换为gpt兼容流格式
  *
- * @param model 模型
  * @param stream 消息流
  * @param endCallback 传输结束回调
  */
-function createTransStream(model: string, stream: any, endCallback?: Function) {
+function createTransStream(stream: any, endCallback?: Function) {
   // 消息创建时间
   const created = util.unixTimestamp();
   // 创建转换流
   const transStream = new PassThrough();
-  const isSilentModel = model.indexOf('silent') != -1;
-  const isThinkModel = model.indexOf('think') != -1 || model.indexOf('zero') != -1;
   let content = "";
-  let thinking = false;
   let toolCall = false;
   let codeGenerating = false;
   let textChunkLength = 0;
-  let thinkingText = "";
   let codeTemp = "";
   let lastExecutionOutput = "";
   let textOffset = 0;
@@ -1217,7 +1078,7 @@ function createTransStream(model: string, stream: any, endCallback?: Function) {
     transStream.write(
       `data: ${JSON.stringify({
         id: "",
-        model,
+        model: MODEL_NAME,
         object: "chat.completion.chunk",
         choices: [
           {
@@ -1245,7 +1106,6 @@ function createTransStream(model: string, stream: any, endCallback?: Function) {
               status: partStatus,
               type,
               text,
-              think,
               image,
               code,
               content,
@@ -1256,11 +1116,6 @@ function createTransStream(model: string, stream: any, endCallback?: Function) {
               innerStr += "\n";
             }
             if (type == "text") {
-              if(thinking) {
-                innerStr += "</think>\n\n"
-                textOffset += thinkingText.length + 8;
-                thinking = false;
-              }
               if (toolCall) {
                 innerStr += "\n";
                 textOffset++;
@@ -1268,41 +1123,17 @@ function createTransStream(model: string, stream: any, endCallback?: Function) {
               }
               if (partStatus == "finish") textChunkLength = text.length;
               return innerStr + text;
-            } else if (type == "think" && isThinkModel && !isSilentModel) {
-              if(!thinking) {
-                innerStr += "<think>\n";
-                textOffset += 7;
-                thinking = true;
-              }
-              if (toolCall) {
-                innerStr += "\n";
-                textOffset++;
-                toolCall = false;
-              }
-              if (partStatus == "finish") textChunkLength = think.length;
-              thinkingText += think.substring(thinkingText.length, think.length);
-              return innerStr + thinkingText;
-            } else if (type == "think" && !isSilentModel) {
-              if (toolCall) {
-                innerStr += "\n";
-                textOffset++;
-                toolCall = false;
-              }
-              if (partStatus == "finish") textChunkLength = thinkingText.length;
-              thinkingText += think;
-              return innerStr + thinkingText;
             } else if (
               type == "quote_result" &&
               status == "finish" &&
               meta_data &&
-              _.isArray(meta_data.metadata_list) &&
+              _.isArray(meta_data.metadata_list)
-              !isSilentModel
             ) {
               const searchText =
                 meta_data.metadata_list.reduce(
-                  (meta, v) => meta + `检索 ${v.title}(${v.url}) ...\n`,
+                  (meta, v) => meta + `检索 ${v.title}(${v.url}) ...`,
                   ""
-                );
+                ) + "\n";
               textOffset += searchText.length;
               toolCall = true;
               return innerStr + searchText;
@@ -1492,23 +1323,41 @@ function tokenSplit(authorization: string) {
   return authorization.replace("Bearer ", "").split(",");
 }
 
+/**
+ * 备用生成cookie
+ *
+ * 暂时还不需要
+ *
+ * @param refreshToken
+ * @param token
+ */
+function generateCookie(refreshToken: string, token: string) {
+  const timestamp = util.unixTimestamp();
+  const gsTimestamp = timestamp - Math.round(Math.random() * 2592000);
+  return {
+    chatglm_refresh_token: refreshToken,
+    // chatglm_user_id: '',
+    _ga_PMD05MS2V9: `GS1.1.${gsTimestamp}.18.0.${gsTimestamp}.0.0.0`,
+    chatglm_token: token,
+    chatglm_token_expires: util.getDateString("yyyy-MM-dd HH:mm:ss"),
+    abtestid: "a",
+    // acw_tc: ''
+  };
+}
+
 /**
  * 获取Token存活状态
  */
 async function getTokenLiveStatus(refreshToken: string) {
-  const sign = await generateSign();
   const result = await axios.post(
-    "https://chatglm.cn/chatglm/user-api/user/refresh",
+    "https://chatglm.cn/chatglm/backend-api/v1/user/refresh",
-    undefined,
+    {},
     {
       headers: {
         Authorization: `Bearer ${refreshToken}`,
         Referer: "https://chatglm.cn/main/alltoolsdetail",
         "X-Device-Id": util.uuid(false),
         "X-Request-Id": util.uuid(false),
-        "X-Sign": sign.sign,
-        "X-Timestamp": sign.timestamp,
-        "X-Nonce": sign.nonce,
         ...FAKE_HEADERS,
       },
       timeout: 15000,

src/api/routes/chat.ts

@@ -3,6 +3,7 @@ import _ from 'lodash';
 import Request from '@/lib/request/Request.ts';
 import Response from '@/lib/response/Response.ts';
 import chat from '@/api/controllers/chat.ts';
+import logger from '@/lib/logger.ts';
 
 export default {
 
@@ -20,15 +21,15 @@ export default {
             // 随机挑选一个refresh_token
             const token = _.sample(tokens);
             const { model, conversation_id: convId, messages, stream } = request.body;
-
+            const assistantId = /^[a-z0-9]{24,}$/.test(model) ? model : undefined
             if (stream) {
-                const stream = await chat.createCompletionStream(messages, token, model, convId);
+                const stream = await chat.createCompletionStream(messages, token, assistantId, convId);
                 return new Response(stream, {
                     type: "text/event-stream"
                 });
             }
             else
-                return await chat.createCompletion(messages, token, model, convId);
+                return await chat.createCompletion(messages, token, assistantId, convId);
         }
 
     }

src/api/routes/models.ts

@@ -18,11 +18,6 @@ export default {
                         "object": "model",
                         "owned_by": "glm-free-api"
                     },
-                    {
-                        "id": "glm-4-plus",
-                        "object": "model",
-                        "owned_by": "glm-free-api"
-                    },
                     {
                         "id": "glm-4v",
                         "object": "model",