Simulates Gemini CLI, Antigravity, Codex, Grok, and Kiro client requests, compat
Find a file
Clansty 13b34411fc feat: 实现 Anthropic 兼容的 count_tokens API
- 在 KiroApiService 中添加 countTokens 方法,支持计算 messages、system、tools 的 token 数
- 使用 @anthropic-ai/tokenizer 进行准确的 token 计算
- 支持 text、tool_use、tool_result、image、document 等内容类型
- 修改 request-handler.js 处理 POST /v1/messages/count_tokens 请求
- 返回格式与 Anthropic 官方 API 一致:{ input_tokens: number }

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-26 23:01:10 +08:00
.github/workflows feat: 添加版本号显示功能并更新CI流程 2025-12-24 18:26:25 +08:00
configs refactor(config): 重构配置文件路径至configs目录并更新相关引用 2025-12-25 16:48:42 +08:00
src feat: 实现 Anthropic 兼容的 count_tokens API 2025-12-26 23:01:10 +08:00
static refactor(config): 重构配置文件路径至configs目录并更新相关引用 2025-12-25 16:48:42 +08:00
tests fix: map finish_reason to 'tool_calls' in Gemini stream when tool calls are present 2025-12-22 19:46:26 -05:00
.babelrc feat: 实现多模型API代理核心功能与策略模式架构 2025-07-25 18:14:16 +08:00
.dockerignore docs: 重构README文件结构并添加多语言支持 2025-11-05 22:40:26 +08:00
.gitignore chore: 更新项目名称并添加忽略文件 2025-12-23 11:19:18 +08:00
Dockerfile refactor(docker): 修改容器配置以使用root用户并更新运行参数 2025-08-12 12:40:30 +08:00
healthcheck.js feat: 新增提供商账号池模式支持 2025-08-29 17:00:18 +08:00
install-and-run.bat refactor: directly import and use setLanguage from i18n module in login page. 2025-12-22 17:34:14 -05:00
install-and-run.sh refactor: directly import and use setLanguage from i18n module in login page. 2025-12-22 17:34:14 -05:00
jest.config.js fix: add missing 'index' to Gemini streaming tool calls and improve tests 2025-12-22 19:36:01 -05:00
LICENSE Initial commit 2025-07-20 15:05:56 +08:00
package-lock.json chore: 更新项目名称并添加忽略文件 2025-12-23 11:19:18 +08:00
package.json feat(i18n): 添加多语言支持并实现国际化功能 2025-12-20 17:27:30 +08:00
README-JA.md docs: 更新多语言README文件中的版本更新日志 2025-12-25 18:34:16 +08:00
README-ZH.md docs: 更新多语言README文件中的版本更新日志 2025-12-25 18:34:16 +08:00
README.md docs: 更新多语言README文件中的版本更新日志 2025-12-25 18:34:16 +08:00
UI_README.md refactor(config): 重构配置文件路径至configs目录并更新相关引用 2025-12-25 16:48:42 +08:00
VERSION Update VERSION 2025-12-25 18:10:26 +08:00

logo

AIClient-2-API 🚀

A powerful proxy that can unify the requests of various client-only large model APIs (Gemini CLI, Antigravity, Qwen Code, Kiro ...), simulate requests, and encapsulate them into a local OpenAI-compatible interface.

AIClient2API is an API proxy service that breaks through client limitations, converting free large models originally restricted to client use only (such as Gemini, Antigravity, Qwen Code, Kiro) into standard OpenAI-compatible interfaces that can be called by any application. Built on Node.js, it supports intelligent conversion between OpenAI, Claude, and Gemini protocols, enabling tools like Cherry-Studio, NextChat, and Cline to freely use advanced models such as Claude Opus 4.5, Gemini 3.0 Pro, and Qwen3 Coder Plus at scale. The project adopts a modular architecture based on strategy and adapter patterns, with built-in account pool management, intelligent polling, automatic failover, and health check mechanisms, ensuring 99.9% service availability.

Note

🎉 Important Milestone

📅 Version Update Log

  • 2025.12.25 - Unified configuration management: All configs centralized to configs/ directory. Docker users need to update mount path to -v "local_path:/app/configs"
  • 2025.12.11 - Automatically built Docker images are now available on Docker Hub: justlikemaki/aiclient-2-api
  • 2025.11.30 - Added Antigravity protocol support, enabling access to Gemini 3 Pro, Claude Sonnet 4.5, and other models via Google internal interfaces
  • 2025.11.16 - Added Ollama protocol support, unified interface to access all supported models (Claude, Gemini, Qwen, OpenAI, etc.)
  • 2025.11.11 - Added Web UI management console, supporting real-time configuration management and health status monitoring
  • 2025.11.06 - Added support for Gemini 3 Preview, enhanced model compatibility and performance optimization
  • 2025.10.18 - Kiro open registration, new accounts get 500 credits, full support for Claude Sonnet 4.5
  • 2025.09.01 - Integrated Qwen Code CLI, added qwen3-coder-plus model support
  • 2025.08.29 - Released account pool management feature, supporting multi-account polling, intelligent failover, and automatic degradation strategies
    • Configuration: Add PROVIDER_POOLS_FILE_PATH parameter in configs/config.json
    • Reference configuration: provider_pools.json
  • History Developed
    • Support Gemini CLI, Kiro and other client2API
    • OpenAI, Claude, Gemini three-protocol mutual conversion, automatic intelligent switching

💡 Core Advantages

🎯 Unified Access, One-Stop Management

  • Multi-Model Unified Interface: Through standard OpenAI-compatible protocol, configure once to access mainstream large models including Gemini, Claude, Qwen Code, Kimi K2, MiniMax M2
  • Flexible Switching Mechanism: Path routing, support dynamic model switching via startup parameters or environment variables to meet different scenario requirements
  • Zero-Cost Migration: Fully compatible with OpenAI API specifications, tools like Cherry-Studio, NextChat, Cline can be used without modification
  • Multi-Protocol Intelligent Conversion: Support intelligent conversion between OpenAI, Claude, and Gemini protocols for cross-protocol model invocation

🚀 Break Through Limitations, Improve Efficiency

  • Bypass Official Restrictions: Utilize OAuth authorization mechanism to effectively break through rate and quota limits of services like Gemini, Antigravity
  • Free Advanced Models: Use Claude Opus 4.5 for free via Kiro API mode, use Qwen3 Coder Plus via Qwen OAuth mode, reducing usage costs
  • Intelligent Account Pool Scheduling: Support multi-account polling, automatic failover, and configuration degradation, ensuring 99.9% service availability

🛡️ Secure and Controllable, Data Transparent

  • Full-Chain Log Recording: Capture all request and response data, supporting auditing and debugging
  • Private Dataset Construction: Quickly build proprietary training datasets based on log data
  • System Prompt Management: Support override and append modes, achieving perfect combination of unified base instructions and personalized extensions

🔧 Developer-Friendly, Easy to Extend

  • Web UI Management Console: Real-time configuration management, health status monitoring, API testing and log viewing
  • Modular Architecture: Based on strategy and adapter patterns, adding new model providers requires only 3 steps
  • Complete Test Coverage: Integration and unit test coverage 90%+, ensuring code quality
  • Containerized Deployment: Provides Docker support, one-click deployment, cross-platform operation

📑 Quick Navigation


🔧 Usage Instructions

🚀 Quick Start

The most recommended way to use AIClient-2-API is to start it through an automated script and configure it visually directly in the Web UI console.

docker run -d -p 3000:3000 --restart=always -v "your_path:/app/configs" --name aiclient2api justlikemaki/aiclient-2-api

Parameter Description:

  • -d: Run container in background
  • -p 3000:3000: Map container port 3000 to host port 3000
  • --restart=always: Container auto-restart policy
  • -v "your_path:/app/configs": Mount configuration directory (replace "your_path" with actual path, e.g., /home/user/aiclient-configs)
  • --name aiclient2api: Container name

1. Run the startup script

  • Linux/macOS: chmod +x install-and-run.sh && ./install-and-run.sh
  • Windows: Double-click install-and-run.bat

2. Access the console

After the server starts, open your browser and visit: 👉 http://localhost:3000

Default Password: admin123 (can be changed in the console or by modifying the pwd file after login)

Go to the "Configuration" page, you can:

  • Fill in the API Key for each provider or upload OAuth credential files
  • Switch default model providers in real-time
  • Monitor health status and real-time request logs

Script Execution Example

========================================
  AI Client 2 API Quick Install Script
========================================

[Check] Checking if Node.js is installed...
✅ Node.js is installed, version: v20.10.0
✅ Found package.json file
✅ node_modules directory already exists
✅ Project file check completed

========================================
  Starting AI Client 2 API Server...
========================================

🌐 Server will start on http://localhost:3000
📖 Visit http://localhost:3000 to view management interface
⏹️  Press Ctrl+C to stop server

💡 Tip: The script will automatically install dependencies and start the server. If you encounter any issues, the script provides clear error messages and suggested solutions.


📋 Core Features

Web UI Management Console

Web UI

A functional Web management interface, including:

📊 Dashboard: System overview, interactive routing examples, client configuration guide

⚙️ Configuration: Real-time parameter modification, supporting all providers (Gemini, Antigravity, OpenAI, Claude, Kiro, Qwen), including advanced settings and file uploads

🔗 Provider Pools: Monitor active connections, provider health statistics, enable/disable management

📁 Config Files: Centralized OAuth credential management, supporting search filtering and file operations

📜 Real-time Logs: Real-time display of system and request logs, with management controls

🔐 Login Verification: Default password admin123, can be modified via pwd file

Access: http://localhost:3000 → Login → Sidebar navigation → Take effect immediately

Multimodal Input Capabilities

Supports various input types such as images and documents, providing you with a richer interaction experience and more powerful application scenarios.

Latest Model Support

Seamlessly support the following latest large models, just configure the corresponding endpoint in Web UI or configs/config.json:

  • Claude 4.5 Opus - Anthropic's strongest model ever, now supported via Kiro, Antigravity
  • Gemini 3 Pro - Google's next-generation architecture preview, now supported via Gemini, Antigravity
  • Qwen3 Coder Plus - Alibaba Tongyi Qianwen's latest code-specific model, now supported via Qwen Code
  • Kimi K2 / MiniMax M2 - Synchronized support for top domestic flagship models, now supported via custom OpenAI, Claude

🔐 Authorization Configuration Guide

💡 Tip: For the best experience, it is recommended to manage authorization visually through the Web UI console.

In the Web UI management interface, you can complete authorization configuration rapidly:

  1. Generate Authorization: On the "Provider Pools" page or "Configuration" page, click the "Generate Authorization" button in the upper right corner of the corresponding provider (e.g., Gemini, Qwen).
  2. Scan/Login: An authorization dialog will pop up, you can click "Open in Browser" for login verification. For Qwen, just complete the web login; for Gemini and Antigravity, complete the Google account authorization.
  3. Auto-Save: After successful authorization, the system will automatically obtain credentials and save them to the corresponding directory in configs/. You can see the newly generated credentials on the "Config Files" page.
  4. Visual Management: You can upload or delete credentials at any time in the Web UI, or use the "Quick Associate" function to bind existing credential files to providers with one click.

Gemini CLI OAuth Configuration

  1. Obtain OAuth Credentials: Visit Google Cloud Console to create a project and enable Gemini API
  2. Project Configuration: You may need to provide a valid Google Cloud project ID, which can be specified via the startup parameter --project-id
  3. Ensure Project ID: When configuring in the Web UI, ensure the project ID entered matches the project ID displayed in the Google Cloud Console and Gemini CLI.

Antigravity OAuth Configuration

  1. Personal Account: Personal accounts require separate authorization, application channels have been closed.
  2. Pro Member: Antigravity is temporarily open to Pro members, you need to purchase a Pro membership first.
  3. Organization Account: Organization accounts require separate authorization, contact the administrator to obtain authorization.

Qwen Code OAuth Configuration

  1. First Authorization: After configuring the Qwen service, the system will automatically open the authorization page in the browser
  2. Recommended Parameters: Use official default parameters for best results
    {
      "temperature": 0,
      "top_p": 1
    }
    

Kiro API Configuration

  1. Environment Preparation: Download and install Kiro client
  2. Complete Authorization: Log in to your account in the client to generate kiro-auth-token.json credential file
  3. Best Practice: Recommended to use with Claude Code for optimal experience
  4. Important Notice: Kiro service usage policy has been updated, please visit the official website for the latest usage restrictions and terms

Account Pool Management Configuration

  1. Create Pool Configuration File: Create a configuration file referencing provider_pools.json.example
  2. Configure Pool Parameters: Set PROVIDER_POOLS_FILE_PATH in configs/config.json to point to the pool configuration file
  3. Startup Parameter Configuration: Use the --provider-pools-file <path> parameter to specify the pool configuration file path
  4. Health Check: The system will automatically perform periodic health checks and avoid using unhealthy providers

Advanced Configuration

1. Model Filtering Configuration

Support excluding unsupported models through notSupportedModels configuration, the system will automatically skip these providers.

Configuration: Add notSupportedModels field for providers in configs/provider_pools.json:

{
  "gemini-cli-oauth": [
    {
      "uuid": "provider-1",
      "notSupportedModels": ["gemini-3.0-pro", "gemini-3.5-flash"],
      "checkHealth": true
    }
  ]
}

How It Works:

  • When requesting a specific model, the system automatically filters out providers that have configured the model as unsupported
  • Only providers that support the model will be selected to handle the request

Use Cases:

  • Some accounts cannot access specific models due to quota or permission restrictions
  • Need to assign different model access permissions to different accounts
2. Cross-Type Fallback Configuration

When all accounts under a Provider Type (e.g., gemini-cli-oauth) are exhausted due to 429 quota limits or marked as unhealthy, the system can automatically fallback to another compatible Provider Type (e.g., gemini-antigravity) instead of returning an error directly.

Configuration: Add providerFallbackChain configuration in configs/config.json:

{
  "providerFallbackChain": {
    "gemini-cli-oauth": ["gemini-antigravity"],
    "gemini-antigravity": ["gemini-cli-oauth"],
    "claude-kiro-oauth": ["claude-custom"],
    "claude-custom": ["claude-kiro-oauth"]
  }
}

How It Works:

  1. Try to select a healthy account from the primary Provider Type pool
  2. If all accounts in that type are unhealthy or return 429:
    • Look up the configured fallback types
    • Check if the fallback type supports the requested model (protocol compatibility check)
    • Select a healthy account from the fallback type's pool
  3. Supports multi-level degradation chains: gemini-cli-oauth → gemini-antigravity → openai-custom
  4. Only returns an error if all fallback types are also unavailable

Use Cases:

  • In batch task scenarios, the free RPD quota of a single Provider Type can be easily exhausted in a short time
  • Through cross-type Fallback, you can fully utilize the independent quotas of multiple Providers, improving overall availability and throughput

Notes:

  • Fallback only occurs between protocol-compatible types (e.g., between gemini-*, between claude-*)
  • The system automatically checks if the target Provider Type supports the requested model

📁 Authorization File Storage Paths

Default storage locations for authorization credential files of each service:

Service Default Path Description
Gemini ~/.gemini/oauth_creds.json OAuth authentication credentials
Kiro ~/.aws/sso/cache/kiro-auth-token.json Kiro authentication token
Qwen ~/.qwen/oauth_creds.json Qwen OAuth credentials
Antigravity ~/.antigravity/oauth_creds.json Antigravity OAuth credentials (supports Claude 4.5 Opus)

Note

: ~ represents the user home directory (Windows: C:\Users\username, Linux/macOS: /home/username or /Users/username)

Custom Path: Can specify custom storage location via relevant parameters in configuration file or environment variables


🦙 Ollama Protocol Usage Examples

This project supports the Ollama protocol, allowing access to all supported models through a unified interface. The Ollama endpoint provides standard interfaces such as /api/tags, /api/chat, /api/generate, etc.

Ollama API Call Examples:

  1. List all available models:
curl http://localhost:3000/ollama/api/tags
  1. Chat interface:
curl http://localhost:3000/ollama/api/chat \
  -H "Content-Type: application/json" \
  -d '{
    "model": "[Claude] claude-sonnet-4.5",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'
  1. Specify provider using model prefix:
  • [Kiro] - Access Claude models using Kiro API
  • [Claude] - Use official Claude API
  • [Gemini CLI] - Access via Gemini CLI OAuth
  • [OpenAI] - Use official OpenAI API
  • [Qwen CLI] - Access via Qwen OAuth

📄 Open Source License

This project follows the GNU General Public License v3 (GPLv3) license. For details, please check the LICENSE file in the root directory.

🙏 Acknowledgements

The development of this project was greatly inspired by the official Google Gemini CLI and referenced part of the code implementation of gemini-cli.ts in Cline 3.18.0. Sincere thanks to the Google official team and the Cline development team for their excellent work!

Contributor List

Thanks to all the developers who contributed to the AIClient-2-API project:

Contributors

Sponsor List

We are grateful for the support from our sponsors:

🌟 Star History

Star History Chart


⚠️ Disclaimer

Usage Risk Warning

This project (AIClient-2-API) is for learning and research purposes only. Users assume all risks when using this project. The author is not responsible for any direct, indirect, or consequential losses resulting from the use of this project.

Third-Party Service Responsibility Statement

This project is an API proxy tool and does not provide any AI model services. All AI model services are provided by their respective third-party providers (such as Google, OpenAI, Anthropic, etc.). Users should comply with the terms of service and policies of each third-party service when accessing them through this project. The author is not responsible for the availability, quality, security, or legality of third-party services.

Data Privacy Statement

This project runs locally and does not collect or upload any user data. However, users should protect their API keys and other sensitive information when using this project. It is recommended that users regularly check and update their API keys and avoid using this project in insecure network environments.

Users should comply with the laws and regulations of their country/region when using this project. It is strictly prohibited to use this project for any illegal purposes. Any consequences resulting from users' violation of laws and regulations shall be borne by the users themselves.