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.github/workflows/publish-docker-image.yml

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+name: Publish Docker Image
+
+on:
+  workflow_dispatch:
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+  MAJOR: 1
+  MINOR: 0
+  PATCH: ${{github.run_number}}
+
+run-name: Publish Docker Image v1.0.${{github.run_number}}
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+
+    # Sets the permissions granted to the `GITHUB_TOKEN` for the actions in this job.
+    permissions:
+      contents: read
+      packages: write
+      attestations: write
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here.
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      # This step uses [docker/metadata-action](https://github.com/docker/metadata-action#about) to extract tags and labels that will be applied to the specified image. The `id` "meta" allows the output of this step to be referenced in a subsequent step. The `images` value provides the base name for the tags and labels.
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}
+            type=raw,value=v${{ env.MAJOR }}.${{ env.MINOR }}.${{ env.PATCH }}
+
+      # This step uses the `docker/build-push-action` action to build the image, based on your repository's `Dockerfile`. If the build succeeds, it pushes the image to GitHub Packages.
+      # It uses the `context` parameter to define the build's context as the set of files located in the specified path. For more information, see "[Usage](https://github.com/docker/build-push-action#usage)" in the README of the `docker/build-push-action` repository.
+      # It uses the `tags` and `labels` parameters to tag and label the image with the output from the "meta" step.
+      - name: Build and push Docker image
+        id: push
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          subject-digest: ${{ steps.push.outputs.digest }}
+          push-to-registry: true
+      

.gitignore

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+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
+
+# Diagnostic reports (https://nodejs.org/api/report.html)
+report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+*.lcov
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+bower_components
+
+# node-waf configuration
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+build/Release
+
+# Dependency directories
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+web_modules/
+
+# TypeScript cache
+*.tsbuildinfo
+
+# Optional npm cache directory
+.npm
+
+# Optional eslint cache
+.eslintcache
+
+# Optional stylelint cache
+.stylelintcache
+
+# Microbundle cache
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
+
+# Optional REPL history
+.node_repl_history
+
+# Output of 'npm pack'
+*.tgz
+
+# Yarn Integrity file
+.yarn-integrity
+
+# dotenv environment variable files
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# parcel-bundler cache (https://parceljs.org/)
+.cache
+.parcel-cache
+
+# Next.js build output
+.next
+out
+
+# Nuxt.js build / generate output
+.nuxt
+dist
+
+# Gatsby files
+.cache/
+# Comment in the public line in if your project uses Gatsby and not Next.js
+# https://nextjs.org/blog/next-9-1#public-directory-support
+# public
+
+# vuepress build output
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+.temp
+.cache
+
+# Docusaurus cache and generated files
+.docusaurus
+
+# Serverless directories
+.serverless/
+
+# FuseBox cache
+.fusebox/
+
+# DynamoDB Local files
+.dynamodb/
+
+# TernJS port file
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+.vscode-test
+
+# yarn v2
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.*

Dockerfile

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+FROM node:lts-alpine
+
+WORKDIR /app
+
+COPY package.json package-lock.json ./
+
+RUN npm install
+
+COPY . .
+
+EXPOSE 3010
+
+CMD ["npm", "run", "start"]

LICENSE

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+MIT License
+
+Copyright (c) 2025 JiuZ
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,10 +1,110 @@
----
-title: Cursor
-emoji: 🌖
-colorFrom: gray
-colorTo: indigo
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Cursor To OpenAI
+
+Convert the Cursor Editor to an OpenAI API interface service.
+
+## Introduction
+
+This project provides a proxy service that converts the AI chat of the Cursor Editor into an OpenAPI API, allowing you to reuse the LLM of the Cursor in other applications.
+
+## Preparsuitue
+
+Visit [Cursor](https://www.cursor.com) and register a account.
+- 150 fast premium requests are given, which can be reset by deleting the account and then registering again
+- Suggest to use gmail/outlook email, some temp emails have been disabled by Cursor.
+
+### Get Cursor client cookie
+
+The cookie from Cursor webpage does not work in Cursor-To-OpenAI server. You need to get the Cursor client cookie following these steps:
+
+1. Run `npm install` to initialize the environment。
+2. Run `npm run login`. Open the URL shows in the log, and then login your account.
+3. The cookie shows in your command is the `Curosr Cookie` value. Copy and save it to your notepad.
+
+The log of this command looks like:
+```
+[Log] Please open the following URL in your browser to login:
+https://www.cursor.com/loginDeepControl?challenge=6aDBevuHkK-HLiZ<......>k2lEjbVRMpg&uuid=5147ac09<....>5fe5f3aeb&mode=login      <-- Copy the url and open it in your browser.
+[Log] Waiting for login... (1/60)
+[Log] Waiting for login... (2/60)
+[Log] Waiting for login... (3/60)
+[Log] Waiting for login... (4/60)
+[Log] Login successfully. Your Cursor cookie:
+user_01JJF<.....>K3F4T8%3A%3AeyJhbGciOiJIUzI1NiIsInR5cCI6Ikp<...................>AsCpbPfnlHy022WxmlKIt4Q7Ll0     <-- This is the Cursor cookie, please save it.
+```
+
+#### API to get Cursor client cookie
+
+We provide an API to save you from manual login. You need to log in to your Cursor account in browser and get `WorkosCursorSessionToken` from Application-Cookie.
+1. Get Cursor client cookie
+    - Url：`http://localhost:3010/cursor/loginDeepContorl`
+    - Request：`GET`
+    - Authentication：`Bearer Token`（The value of `WorkosCursorSessionToken` from Cursor webpage)
+    - Reponse: In JSON, the value of `accessToken` is the `Cursor Cookie` in JWT format. That's what you want.
+
+Sample request:
+```
+import requests
+
+WorkosCursorSessionToken = "{{{Repalce by your WorkosCursorSessionToken from cookie in browser}}}}"
+response = requests.get("http://localhost:3010/cursor/loginDeepControl", headers={
+    "authorization": f"Bearer {WorkosCursorSessionToken}"
+})
+data = response.json()
+cookie = data["accessToken"]
+print(cookie)
+```
+
+## How to Run
+
+### Run in docker
+```
+docker run -d --name cursor-to-openai -p 3010:3010 ghcr.io/jiuz-chn/cursor-to-openai:latest
+```
+
+### Run in npm
+```
+npm install
+npm run start
+```
+
+## How to use the server
+
+1. Get models
+    - Url：`http://localhost:3010/v1/models`
+    - Request：`GET`
+    - Authentication：`Bearer Token`（The value of `Cursor Cookie`)
+
+2. Chat completion
+    - Url：`http://localhost:3010/v1/chat/completions`
+    - Request：`POST`
+    - Authentication：`Bearer Token`（The value of `Cursor Cookie`，supports comma-separated values）
+
+ for the response body, please refer to the OpenAI interface
+
+### Python demo
+```
+from openai import OpenAI
+
+client = OpenAI(api_key="{{{Replace by the Cursor cookie of your account. It starts with user_...}}}",
+                base_url="http://localhost:3010/v1")
+
+response = client.chat.completions.create(
+    model="claude-3-7-sonnet",
+    messages=[
+        {"role": "user", "content": "Hello."},
+    ],
+    stream=False
+)
+
+print(response.choices)
+```
+
+## Notes
+
+- Please keep your Cursor cookie properly and do not disclose it to others
+- This project is for study and research only, please abide by the Cursor Terms of Use
+
+## Acknowledgements
+
+- This project is based on [cursor-api](https://github.com/zhx47/cursor-api)(by zhx47).
+- This project integrates the commits in [cursor-api](https://github.com/lvguanjun/cursor-api)(by lvguanjun).

package-lock.json

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+{
+  "name": "cursor-to-openai",
+  "version": "2.5.1",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "cursor-to-openai",
+      "version": "2.5.1",
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+      },
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+      }
+    },
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+      "dev": true,
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+    "node_modules/xmlcreate": {
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+      "dev": true,
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+}

package.json

@@ -0,0 +1,25 @@
+{
+  "name": "cursor-to-openai",
+  "version": "2.5.1",
+  "description": "Cursor to OpenAPI",
+  "author": "JiuZ-Chn",
+  "private": false,
+  "main": "index.js",
+  "url": "https://github.com/JiuZ-Chn/Cursor-To-OpenAI",
+  "license": "MIT",
+  "dependencies": {
+    "express": "4.21.2",
+    "morgan": "^1.10.0",
+    "protobufjs": "^7.4.0",
+    "undici": "^7.4.0",
+    "uuid": "11.0.5"
+  },
+  "scripts": {
+    "proto": "npx pbjs -t static-module -w commonjs -o src/proto/message.js src/proto/message.proto",
+    "login": "node src/tool/cursorLogin.js",
+    "start": "node src/app.js"
+  },
+  "devDependencies": {
+    "protobufjs-cli": "^1.1.3"
+  }
+}

src/app.js

@@ -0,0 +1,17 @@
+const express = require('express');
+const morgan = require('morgan');
+const app = express();
+
+const config = require('./config/config');
+const routes = require('./routes');
+
+app.use(express.json({ limit: '50mb' }));
+app.use(express.urlencoded({ extended: true, limit: '50mb' }));
+
+app.use(morgan(process.env.MORGAN_FORMAT ?? 'tiny'));
+
+app.use("/", routes)
+
+app.listen(config.port, () => {
+    console.log(`The server listens port: ${config.port}`);
+});

src/config/config.js

@@ -0,0 +1,8 @@
+module.exports = {
+    port: process.env.PORT || 3010,
+    proxy:{
+        enabled: false,
+        url: 'http://127.0.0.1:7890',
+    },
+    //chatMode: 1 // 1 for ask, 2 for agent, 3 for edit
+};

src/proto/message.proto

@@ -0,0 +1,133 @@
+syntax = "proto3";
+
+message AvailableModelsResponse { 
+  message AvailableModel {
+    string name = 1;
+    bool defaultOn = 2;
+    optional bool isLongContextOnly = 3;
+    optional bool isChatOnly = 4;
+  }
+  repeated AvailableModel models = 2;
+  repeated string modelNames = 1;
+}
+
+message MessageSummary {
+  string content = 1;
+  string summaryId1 = 2; 
+  string summaryId2 = 3; // uuid, equal to summaryId1
+  string previousSummaryId = 4; 
+}
+
+message MessageThinking {
+  string content = 1;
+}
+message StreamUnifiedChatWithToolsRequest {
+  message Request {
+    message Message {
+      message Image {
+        message Metadata {
+          int32 width = 1;
+          int32 height = 2;
+        }
+        bytes data = 1;
+        Metadata metadata = 2;
+      }
+      string content = 1;
+      int32 role = 2;
+      Image image = 10;
+      string messageId = 13;
+      string unknown29 = 29; // 1, only for user message
+      string summaryId = 32;
+      MessageSummary summary = 39;
+      MessageThinking thinking = 45;
+      int32 chatModeEnum = 47; // 1 for ask, 2 for agent, 3 for edit
+    }
+    message Instruction {
+      string instruction = 1;
+    }
+    message Model {
+      string name = 1;
+      bytes empty = 4;
+    }
+    message CursorSetting {
+      message Unknown6 {
+        bytes unknown1 = 1;
+        bytes unknown2 = 2;
+      }
+      string name = 1;
+      bytes unknown3 = 3;
+      Unknown6 unknown6 = 6;
+      int32 unknown8 = 8;
+      int32 unknown9 = 9;
+    }
+    message Metadata {
+      string os = 1; // win32
+      string arch = 2; // x64
+      string version = 3; // 10.0.22631
+      string path = 4; // C:\Program Files\PowerShell\7\pwsh.exe
+      string timestamp = 5; // 2025-03-03T13:10:08.590Z
+    }
+    message MessageId {
+      string messageId = 1;
+      string summaryId = 2;
+      int32 role = 3;
+    }
+
+    repeated Message messages = 1;
+    int32 unknown2 = 2; // 1
+    Instruction instruction = 3;
+    int32 unknown4 = 4; // 1
+    Model model = 5;
+    repeated string wikiTool = 7; // one url one item
+    string webTool = 8; // "full search"
+    int32 unknown13 = 13;
+    CursorSetting cursorSetting = 15;
+    int32 unknown19 = 19; // 1
+    int32 unknown22 = 22; // 1
+    string conversationId = 23; // uuid
+    Metadata metadata = 26;
+    int32 unknown27 = 27; // 1
+    string unknown29 = 29;
+    repeated MessageId messageIds = 30;
+    int32 largeContext = 35; // 1
+    int32 unknown38 = 38; // 0
+    int32 chatModeEnum = 46; // 1 for ask, 2 for agent, 3 for edit
+    string unknown47 = 47; 
+    int32 unknown48 = 48; // 0
+    int32 unknown49 = 49; // 0
+    int32 unknown51 = 51; // 0
+    int32 unknown53 = 53; // 0
+    string chatMode = 54;
+  }
+  
+  Request request = 1;
+}
+
+message StreamUnifiedChatWithToolsResponse {
+  message Message {
+    message WebTool {
+      message WebPage {
+        string url = 1;
+        string title = 2;
+        string content = 3;
+      }
+      repeated WebPage webPage = 1;
+    }
+    message Unknown12 {
+      message Content {
+        string content = 1;
+      }
+      Content content = 1;
+    }
+    string content = 1;
+    WebTool webtool = 11;
+    Unknown12 unknown12 = 12;
+    string unknown22 = 22; // uuid
+    string unknown23 = 23;
+    string unknown27 = 27; // uuid
+    MessageThinking thinking = 25;
+  }
+
+  Message message = 2;
+  MessageSummary summary = 3;
+}

src/routes/cursor.js

@@ -0,0 +1,39 @@
+const express = require('express');
+const router = express.Router();
+
+const { v4: uuidv4 } = require('uuid');
+const { generatePkcePair, queryAuthPoll } = require('../tool/cursorLogin.js');
+
+router.get("/loginDeepControl", async (req, res) => {
+  let bearerToken = req.headers.authorization?.replace('Bearer ', '');
+  const { verifier, challenge } = generatePkcePair();
+  const uuid = uuidv4();
+  const resposne = await fetch("https://www.cursor.com/api/auth/loginDeepCallbackControl", {
+    method: 'POST',
+    headers: {
+      "Accept": "*/*",
+      'Content-Type': 'application/json',
+      'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.6834.210 Safari/537.36',
+      'Cookie': `WorkosCursorSessionToken=${bearerToken}`
+    },
+    body: JSON.stringify({
+      "uuid": uuid,
+      "challenge": challenge
+    })
+  })
+
+  const retryAttempts = 20
+  for (let i = 0; i < retryAttempts; i++) {
+    const data = await queryAuthPoll(uuid, verifier);
+    if (data) {
+      return res.json(data)
+    }
+    await new Promise(resolve => setTimeout(resolve, 1000));
+  }
+
+  return res.status(500).json({
+    error: 'Get cookie timeout, please try again.',
+  });
+})
+
+module.exports = router;

src/routes/index.js

@@ -0,0 +1,10 @@
+const express = require('express');
+const router = express.Router();
+const v1Routes = require('./v1');
+const cursorRoutes = require('./cursor');
+
+// OpenAI v1 API routes
+router.use('/v1', v1Routes);
+router.use('/cursor', cursorRoutes);
+
+module.exports = router;

src/routes/v1.js

@@ -0,0 +1,280 @@
+const express = require('express');
+const router = express.Router();
+const { fetch, ProxyAgent, Agent } = require('undici');
+
+const { v4: uuidv4, v5: uuidv5 } = require('uuid');
+const config = require('../config/config');
+const $root = require('../proto/message.js');
+const { generateCursorBody, chunkToUtf8String, generateHashed64Hex, generateCursorChecksum } = require('../utils/utils.js');
+
+router.get("/models", async (req, res) => {
+  try{
+    let bearerToken = req.headers.authorization?.replace('Bearer ', '');
+    let authToken = bearerToken.split(',').map((key) => key.trim())[0];
+    if (authToken && authToken.includes('%3A%3A')) {
+      authToken = authToken.split('%3A%3A')[1];
+    }
+    else if (authToken && authToken.includes('::')) {
+      authToken = authToken.split('::')[1];
+    }
+
+    const cursorChecksum = req.headers['x-cursor-checksum'] 
+      ?? generateCursorChecksum(authToken.trim());
+    const cursorClientVersion = "0.48.7"
+
+    const availableModelsResponse = await fetch("https://api2.cursor.sh/aiserver.v1.AiService/AvailableModels", {
+      method: 'POST',
+      headers: {
+        'accept-encoding': 'gzip',
+        'authorization': `Bearer ${authToken}`,
+        'connect-protocol-version': '1',
+        'content-type': 'application/proto',
+        'user-agent': 'connect-es/1.6.1',
+        'x-cursor-checksum': cursorChecksum,
+        'x-cursor-client-version': cursorClientVersion,
+        'x-cursor-config-version': uuidv4(),
+        'x-cursor-timezone': 'Asia/Shanghai',
+        'x-ghost-mode': 'true',
+        'Host': 'api2.cursor.sh',
+      },
+    })
+    const data = await availableModelsResponse.arrayBuffer();
+    const buffer = Buffer.from(data);
+    try{
+      const models = $root.AvailableModelsResponse.decode(buffer).models;
+
+      return res.json({
+        object: "list",
+        data: models.map(model => ({
+          id: model.name,
+          created: Date.now(),
+          object: 'model',
+          owned_by: 'cursor'
+        }))
+      })
+    } catch (error) {
+      const text = buffer.toString('utf-8');
+      throw new Error(text);      
+    }
+  }
+  catch (error) {
+    console.error(error);
+    return res.status(500).json({
+      error: 'Internal server error',
+    });
+  }
+})
+
+router.post('/chat/completions', async (req, res) => {
+
+  try {
+    const { model, messages, stream = false } = req.body;
+    let bearerToken = req.headers.authorization?.replace('Bearer ', '');
+    const keys = bearerToken.split(',').map((key) => key.trim());
+    // Randomly select one key to use
+    let authToken = keys[Math.floor(Math.random() * keys.length)]
+
+    if (!messages || !Array.isArray(messages) || messages.length === 0 || !authToken) {
+      return res.status(400).json({
+        error: 'Invalid request. Messages should be a non-empty array and authorization is required',
+      });
+    }
+
+    if (authToken && authToken.includes('%3A%3A')) {
+      authToken = authToken.split('%3A%3A')[1];
+    }
+    else if (authToken && authToken.includes('::')) {
+      authToken = authToken.split('::')[1];
+    }
+
+    const cursorChecksum = req.headers['x-cursor-checksum']
+      ?? generateCursorChecksum(authToken.trim());
+
+    const sessionid = uuidv5(authToken,  uuidv5.DNS);
+    const clientKey = generateHashed64Hex(authToken)
+    const cursorClientVersion = "0.48.7"
+    const cursorConfigVersion = uuidv4();
+
+    // Request the AvailableModels before StreamChat.
+    const availableModelsResponse = fetch("https://api2.cursor.sh/aiserver.v1.AiService/AvailableModels", {
+      method: 'POST',
+      headers: {
+        'accept-encoding': 'gzip',
+        'authorization': `Bearer ${authToken}`,
+        'connect-protocol-version': '1',
+        'content-type': 'application/proto',
+        'user-agent': 'connect-es/1.6.1',
+        'x-amzn-trace-id': `Root=${uuidv4()}`,
+        'x-client-key': clientKey,
+        'x-cursor-checksum': cursorChecksum,
+        'x-cursor-client-version': cursorClientVersion,
+        'x-cursor-config-version': cursorConfigVersion,
+        'x-cursor-timezone': 'Asia/Shanghai',
+        'x-ghost-mode': 'true',
+        "x-request-id": uuidv4(),
+        "x-session-id": sessionid,
+        'Host': 'api2.cursor.sh',
+      },
+    })
+    
+    const cursorBody = generateCursorBody(messages, model);
+    const dispatcher = config.proxy.enabled
+      ? new ProxyAgent(config.proxy.url, { allowH2: true })
+      : new Agent({ allowH2: true });
+    const response = await fetch('https://api2.cursor.sh/aiserver.v1.ChatService/StreamUnifiedChatWithTools', {
+      method: 'POST',
+      headers: {
+        'authorization': `Bearer ${authToken}`,
+        'connect-accept-encoding': 'gzip',
+        'connect-content-encoding': 'gzip',
+        'connect-protocol-version': '1',
+        'content-type': 'application/connect+proto',
+        'user-agent': 'connect-es/1.6.1',
+        'x-amzn-trace-id': `Root=${uuidv4()}`,
+        'x-client-key': clientKey,
+        'x-cursor-checksum': cursorChecksum,
+        'x-cursor-client-version': cursorClientVersion,
+        'x-cursor-config-version': cursorConfigVersion,
+        'x-cursor-timezone': 'Asia/Shanghai',
+        'x-ghost-mode': 'true',
+        'x-request-id': uuidv4(),
+        'x-session-id': sessionid,
+        'Host': 'api2.cursor.sh'
+      },
+      body: cursorBody,
+      dispatcher: dispatcher,
+      timeout: {
+        connect: 5000,
+        read: 30000
+      }
+    });
+
+    if (response.status !== 200) {
+      return res.status(response.status).json({ 
+        error: response.statusText 
+      });
+    }
+
+    if (stream) {
+      res.setHeader('Content-Type', 'text/event-stream');
+      res.setHeader('Cache-Control', 'no-cache');
+      res.setHeader('Connection', 'keep-alive');
+
+      const responseId = `chatcmpl-${uuidv4()}`;
+
+      try {
+        let thinkingStart = "<thinking>";
+        let thinkingEnd = "</thinking>";
+        for await (const chunk of response.body) {
+          const { thinking, text } = chunkToUtf8String(chunk);
+          let content = ""
+
+          if (thinkingStart !== "" && thinking.length > 0 ){
+            content += thinkingStart + "\n"
+            thinkingStart = ""
+          }
+          content += thinking
+          if (thinkingEnd !== "" && thinking.length === 0 && text.length !== 0 && thinkingStart === "") {
+            content += "\n" + thinkingEnd + "\n"
+            thinkingEnd = ""
+          }
+
+          content += text
+
+          if (content.length > 0) {
+            res.write(
+              `data: ${JSON.stringify({
+                id: responseId,
+                object: 'chat.completion.chunk',
+                created: Math.floor(Date.now() / 1000),
+                model: model,
+                choices: [{
+                  index: 0,
+                  delta: {
+                    content: content,
+                  },
+                }],
+              })}\n\n`
+            );
+          }
+        }
+      } catch (streamError) {
+        console.error('Stream error:', streamError);
+        if (streamError.name === 'TimeoutError') {
+          res.write(`data: ${JSON.stringify({ error: 'Server response timeout' })}\n\n`);
+        } else {
+          res.write(`data: ${JSON.stringify({ error: 'Stream processing error' })}\n\n`);
+        }
+      } finally {
+        res.write('data: [DONE]\n\n');
+        res.end();
+      }
+    } else {
+      // Non-streaming response
+      try {
+        let thinkingStart = "<thinking>";
+        let thinkingEnd = "</thinking>";
+        let content = '';
+        for await (const chunk of response.body) {
+          const { thinking, text } = chunkToUtf8String(chunk);
+          
+          if (thinkingStart !== "" && thinking.length > 0 ){
+            content += thinkingStart + "\n"
+            thinkingStart = ""
+          }
+          content += thinking
+          if (thinkingEnd !== "" && thinking.length === 0 && text.length !== 0 && thinkingStart === "") {
+            content += "\n" + thinkingEnd + "\n"
+            thinkingEnd = ""
+          }
+
+          content += text
+        }
+
+        return res.json({
+          id: `chatcmpl-${uuidv4()}`,
+          object: 'chat.completion',
+          created: Math.floor(Date.now() / 1000),
+          model: model,
+          choices: [
+            {
+              index: 0,
+              message: {
+                role: 'assistant',
+                content: content,
+              },
+              finish_reason: 'stop',
+            },
+          ],
+          usage: {
+            prompt_tokens: 0,
+            completion_tokens: 0,
+            total_tokens: 0,
+          },
+        });
+      } catch (error) {
+        console.error('Non-stream error:', error);
+        if (error.name === 'TimeoutError') {
+          return res.status(408).json({ error: 'Server response timeout' });
+        }
+        throw error;
+      }
+    }
+  } catch (error) {
+    console.error('Error:', error);
+    if (!res.headersSent) {
+      const errorMessage = {
+        error: error.name === 'TimeoutError' ? 'Request timeout' : 'Internal server error'
+      };
+
+      if (req.body.stream) {
+        res.write(`data: ${JSON.stringify(errorMessage)}\n\n`);
+        return res.end();
+      } else {
+        return res.status(error.name === 'TimeoutError' ? 408 : 500).json(errorMessage);
+      }
+    }
+  }
+});
+
+module.exports = router;

src/tool/cursorLogin.js

@@ -0,0 +1,79 @@
+const crypto = require('crypto');
+const { v4: uuidv4, v5: uuidv5 } = require('uuid');
+
+function generatePkcePair() {
+  const verifier = crypto.randomBytes(43).toString('base64url');
+  const challenge = crypto.createHash('sha256').update(verifier).digest('base64url');    
+  return { verifier, challenge };
+}
+
+function getLoginUrl(uuid, challenge) {
+  const loginUrl = `https://www.cursor.com/loginDeepControl?challenge=${challenge}&uuid=${uuid}&mode=login`
+  return loginUrl
+}
+
+async function queryAuthPoll(uuid, verifier){
+  const authPolllUrl = `https://api2.cursor.sh/auth/poll?uuid=${uuid}&verifier=${verifier}`;
+  const response = await fetch(authPolllUrl, {
+    method: 'GET',
+    headers: {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Cursor/0.48.6 Chrome/132.0.6834.210 Electron/34.3.4 Safari/537.36",
+        "Accept": "*/*"
+    },
+    timeout: 5000
+  });
+
+  if (response.status === 200) {
+    const data = await response.json();
+    return data
+  }
+
+  return undefined;
+}
+
+if (require.main === module) {
+
+  async function main(){
+    const { verifier, challenge } = generatePkcePair();
+    const uuid = uuidv4();
+    const loginUrl = getLoginUrl(uuid, challenge);
+    console.log("[Log] Please open the following URL in your browser to login:");
+    console.log(loginUrl);
+
+    const retryAttempts = 60;
+
+    for (let i = 0; i < retryAttempts; i++) {
+      console.log(`[Log] Waiting for login... (${i + 1}/${retryAttempts})`);
+      const data = await queryAuthPoll(uuid, verifier);
+      if (data) {
+        const accessToken = data.accessToken || undefined;
+        const authId = data.authId || "";
+        let token = undefined
+        if (authId.split("|").length > 1) {
+          const userId = authId.split("|")[1];
+          token = `${userId}%3A%3A${accessToken}`;
+        } else {
+          token = accessToken;
+        }
+        console.log("[Log] Login successfully. Your Cursor cookie:");
+        console.log(token)
+        break;
+      }
+      await new Promise(resolve => setTimeout(resolve, 5000));
+
+      if (i === retryAttempts - 1) {
+        console.log("Login timeout, please try again.");
+      }
+    }
+  }
+
+  main().catch((error) => {
+    console.error("Error:", error);
+  });
+
+}
+
+module.exports = {
+  generatePkcePair,
+  queryAuthPoll
+}

src/utils/utils.js

@@ -0,0 +1,196 @@
+const os = require('os');
+const zlib = require('zlib');
+const crypto = require('crypto');
+const { v4: uuidv4 } = require('uuid');
+const $root = require('../proto/message.js');
+
+function generateCursorBody(messages, modelName) {
+
+  const instruction = messages
+    .filter(msg => msg.role === 'system')
+    .map(msg => msg.content)
+    .join('\n')
+
+  const formattedMessages = messages
+    .filter(msg => msg.role !== 'system')
+    .map(msg => ({
+      content: msg.content,
+      role: msg.role === 'user' ? 1 : 2,
+      messageId: uuidv4(),
+      ...(msg.role === 'user' ? { chatModeEnum: 1 } : {})
+      //...(msg.role !== 'user' ? { summaryId: uuidv4() } : {})
+    }));
+
+  const messageIds = formattedMessages.map(msg => {
+    const { role, messageId, summaryId } = msg;
+    return summaryId ? { role, messageId, summaryId } : { role, messageId };
+  });
+
+  const body = {
+    request:{
+      messages: formattedMessages,
+      unknown2: 1,
+      instruction: {
+        instruction: instruction
+      },
+      unknown4: 1,
+      model: {
+        name: modelName,
+        empty: '',
+      },
+      webTool: "",
+      unknown13: 1,
+      cursorSetting: {
+        name: "cursor\\aisettings",
+        unknown3: "",
+        unknown6: {
+          unknwon1: "",
+          unknown2: ""
+        },
+        unknown8: 1,
+        unknown9: 1
+      },
+      unknown19: 1,
+      //unknown22: 1,
+      conversationId: uuidv4(),
+      metadata: {
+        os: "win32",
+        arch: "x64",
+        version: "10.0.22631",
+        path: "C:\\Program Files\\PowerShell\\7\\pwsh.exe",
+        timestamp: new Date().toISOString(),
+      },
+      unknown27: 0,
+      //unknown29: "",
+      messageIds: messageIds,
+      largeContext: 0,
+      unknown38: 0,
+      chatModeEnum: 1,
+      unknown47: "",
+      unknown48: 0,
+      unknown49: 0,
+      unknown51: 0,
+      unknown53: 1,
+      chatMode: "Ask"
+    }
+  };
+
+  const errMsg = $root.StreamUnifiedChatWithToolsRequest.verify(body);
+  if (errMsg) throw Error(errMsg);
+  const instance = $root.StreamUnifiedChatWithToolsRequest.create(body);
+  let buffer = $root.StreamUnifiedChatWithToolsRequest.encode(instance).finish();
+  let magicNumber = 0x00
+  if (formattedMessages.length >= 3){
+    buffer = zlib.gzipSync(buffer)
+    magicNumber = 0x01
+  }
+
+  const finalBody = Buffer.concat([
+    Buffer.from([magicNumber]),
+    Buffer.from(buffer.length.toString(16).padStart(8, '0'), 'hex'),
+    buffer
+  ])
+
+  return finalBody
+}
+
+function chunkToUtf8String(chunk) {
+  const thinkingOutput = []
+  const textOutput = []
+  const buffer = Buffer.from(chunk, 'hex');
+  //console.log("Chunk buffer:", buffer.toString('hex'))
+
+  try {
+    for(let i = 0; i < buffer.length; i++){
+      const magicNumber = parseInt(buffer.subarray(i, i + 1).toString('hex'), 16)
+      const dataLength = parseInt(buffer.subarray(i + 1, i + 5).toString('hex'), 16)
+      const data = buffer.subarray(i + 5, i + 5 + dataLength)
+      //console.log("Parsed buffer:", magicNumber, dataLength, data.toString('hex'))
+
+      if (magicNumber == 0 || magicNumber == 1) {
+        const gunzipData = magicNumber == 0 ? data : zlib.gunzipSync(data)
+        const response = $root.StreamUnifiedChatWithToolsResponse.decode(gunzipData);
+
+        const thinking = response?.message?.thinking?.content
+        if (thinking !== undefined){
+          thinkingOutput.push(thinking)
+          //console.log(thinking)
+        }
+
+        const content = response?.message?.content
+        if (content !== undefined){
+          textOutput.push(content)
+          //console.log(content)
+        }
+        
+      }
+      else if (magicNumber == 2 || magicNumber == 3) { 
+        // Json message
+        const gunzipData = magicNumber == 2 ? data : zlib.gunzipSync(data)
+        const utf8 = gunzipData.toString('utf-8')
+        const message = JSON.parse(utf8)
+
+        if (message != null && (typeof message !== 'object' || 
+          (Array.isArray(message) ? message.length > 0 : Object.keys(message).length > 0))){
+            //results.push(utf8)
+            console.error(utf8)
+        }
+
+      }
+      else {
+        //console.log('Unknown magic number when parsing chunk response: ' + magicNumber)
+      }
+
+      i += 5 + dataLength - 1
+    }
+  } catch (err) {
+    console.log('Error parsing chunk response:', err)
+  }
+
+  return {
+    thinking: thinkingOutput.join(''), 
+    text: textOutput.join('') 
+  }
+}
+
+function generateHashed64Hex(input, salt = '') {
+  const hash = crypto.createHash('sha256');
+  hash.update(input + salt);
+  return hash.digest('hex');
+}
+
+function obfuscateBytes(byteArray) {
+  let t = 165;
+  for (let r = 0; r < byteArray.length; r++) {
+    byteArray[r] = (byteArray[r] ^ t) + (r % 256);
+    t = byteArray[r];
+  }
+  return byteArray;
+}
+
+function generateCursorChecksum(token) {
+  const machineId = generateHashed64Hex(token, 'machineId');
+  const macMachineId = generateHashed64Hex(token, 'macMachineId');
+
+  const timestamp = Math.floor(Date.now() / 1e6);
+  const byteArray = new Uint8Array([
+    (timestamp >> 40) & 255,
+    (timestamp >> 32) & 255,
+    (timestamp >> 24) & 255,
+    (timestamp >> 16) & 255,
+    (timestamp >> 8) & 255,
+    255 & timestamp,
+  ]);
+
+  const obfuscatedBytes = obfuscateBytes(byteArray);
+  const encodedChecksum = Buffer.from(obfuscatedBytes).toString('base64');
+
+  return `${encodedChecksum}${machineId}/${macMachineId}`;
+}
+
+module.exports = {
+  generateCursorBody,
+  chunkToUtf8String,
+  generateHashed64Hex,
+  generateCursorChecksum
+};