CLIProxyAPI

CLI Proxy API

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A proxy server that provides OpenAI/Gemini/Claude/Codex compatible API interfaces for CLI.

It now also supports OpenAI Codex (GPT models) and Claude Code via OAuth.

So you can use local or multi-account CLI access with OpenAI(include Responses)/Gemini/Claude-compatible clients and SDKs.

Chinese providers have now been added: Qwen Code, iFlow.

Features

• OpenAI/Gemini/Claude compatible API endpoints for CLI models
• OpenAI Codex support (GPT models) via OAuth login
• Claude Code support via OAuth login
• Qwen Code support via OAuth login
• iFlow support via OAuth login
• Gemini Web support via cookie-based login
• Streaming and non-streaming responses
• Function calling/tools support
• Multimodal input support (text and images)
• Multiple accounts with round-robin load balancing (Gemini, OpenAI, Claude, Qwen and iFlow)
• Simple CLI authentication flows (Gemini, OpenAI, Claude, Qwen and iFlow)
• Generative Language API Key support
• Gemini CLI multi-account load balancing
• Claude Code multi-account load balancing
• Qwen Code multi-account load balancing
• iFlow multi-account load balancing
• OpenAI Codex multi-account load balancing
• OpenAI-compatible upstream providers via config (e.g., OpenRouter)
• Reusable Go SDK for embedding the proxy (see docs/sdk-usage.md)

Installation

Prerequisites

• Go 1.24 or higher
• A Google account with access to Gemini CLI models (optional)
• An OpenAI account for Codex/GPT access (optional)
• An Anthropic account for Claude Code access (optional)
• A Qwen Chat account for Qwen Code access (optional)
• An iFlow account for iFlow access (optional)

Building from Source

1. Clone the repository:

   git clone https://github.com/luispater/CLIProxyAPI.git
   cd CLIProxyAPI
   

2. Build the application:

   Linux, macOS:

   go build -o cli-proxy-api ./cmd/server
   

   Windows:

   go build -o cli-proxy-api.exe ./cmd/server
   

Usage

GUI Client & Official WebUI

EasyCLI

A cross-platform desktop GUI client for CLIProxyAPI.

Cli-Proxy-API-Management-Center

A web-based management center for CLIProxyAPI.

Set remote-management.disable-control-panel to true if you prefer to host the management UI elsewhere; the server will skip downloading management.html and /management.html will return 404.

Authentication

You can authenticate for Gemini, OpenAI, Claude, Qwen, and/or iFlow. All can coexist in the same auth-dir and will be load balanced.

• Gemini (Google):

  ./cli-proxy-api --login
  

  If you are an existing Gemini Code user, you may need to specify a project ID:

  ./cli-proxy-api --login --project_id <your_project_id>
  

  The local OAuth callback uses port 8085.

  Options: add --no-browser to print the login URL instead of opening a browser. The local OAuth callback uses port 8085.

• Gemini Web (via Cookies): This method authenticates by simulating a browser, using cookies obtained from the Gemini website.

  ./cli-proxy-api --gemini-web-auth
  

  You will be prompted to enter your __Secure-1PSID and __Secure-1PSIDTS values. Please retrieve these cookies from your browser's developer tools.

• OpenAI (Codex/GPT via OAuth):

  ./cli-proxy-api --codex-login
  

  Options: add --no-browser to print the login URL instead of opening a browser. The local OAuth callback uses port 1455.

• Claude (Anthropic via OAuth):

  ./cli-proxy-api --claude-login
  

  Options: add --no-browser to print the login URL instead of opening a browser. The local OAuth callback uses port 54545.

• Qwen (Qwen Chat via OAuth):

  ./cli-proxy-api --qwen-login
  

  Options: add --no-browser to print the login URL instead of opening a browser. Use the Qwen Chat's OAuth device flow.

• iFlow (iFlow via OAuth):

  ./cli-proxy-api --iflow-login
  

  Options: add --no-browser to print the login URL instead of opening a browser. The local OAuth callback uses port 11451.

Starting the Server

Once authenticated, start the server:

./cli-proxy-api

By default, the server runs on port 8317.

API Endpoints

List Models

GET http://localhost:8317/v1/models

Chat Completions

POST http://localhost:8317/v1/chat/completions

Request body example:

{
  "model": "gemini-2.5-pro",
  "messages": [
    {
      "role": "user",
      "content": "Hello, how are you?"
    }
  ],
  "stream": true
}

Notes:

• Use a gemini-* model for Gemini (e.g., "gemini-2.5-pro"), a gpt-* model for OpenAI (e.g., "gpt-5"), a claude-* model for Claude (e.g., "claude-3-5-sonnet-20241022"), a qwen-* model for Qwen (e.g., "qwen3-coder-plus"), or an iFlow-supported model (e.g., "tstars2.0", "deepseek-v3.1", "kimi-k2", etc.). The proxy will route to the correct provider automatically.

Claude Messages (SSE-compatible)

POST http://localhost:8317/v1/messages

Using with OpenAI Libraries

You can use this proxy with any OpenAI-compatible library by setting the base URL to your local server:

Python (with OpenAI library)

from openai import OpenAI

client = OpenAI(
    api_key="dummy",  # Not used but required
    base_url="http://localhost:8317/v1"
)

# Gemini example
gemini = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[{"role": "user", "content": "Hello, how are you?"}]
)

# Codex/GPT example
gpt = client.chat.completions.create(
    model="gpt-5",
    messages=[{"role": "user", "content": "Summarize this project in one sentence."}]
)

# Claude example (using messages endpoint)
import requests
claude_response = requests.post(
    "http://localhost:8317/v1/messages",
    json={
        "model": "claude-3-5-sonnet-20241022",
        "messages": [{"role": "user", "content": "Summarize this project in one sentence."}],
        "max_tokens": 1000
    }
)

print(gemini.choices[0].message.content)
print(gpt.choices[0].message.content)
print(claude_response.json())

JavaScript/TypeScript

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'dummy', // Not used but required
  baseURL: 'http://localhost:8317/v1',
});

// Gemini
const gemini = await openai.chat.completions.create({
  model: 'gemini-2.5-pro',
  messages: [{ role: 'user', content: 'Hello, how are you?' }],
});

// Codex/GPT
const gpt = await openai.chat.completions.create({
  model: 'gpt-5',
  messages: [{ role: 'user', content: 'Summarize this project in one sentence.' }],
});

// Claude example (using messages endpoint)
const claudeResponse = await fetch('http://localhost:8317/v1/messages', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    model: 'claude-3-5-sonnet-20241022',
    messages: [{ role: 'user', content: 'Summarize this project in one sentence.' }],
    max_tokens: 1000
  })
});

console.log(gemini.choices[0].message.content);
console.log(gpt.choices[0].message.content);
console.log(await claudeResponse.json());

Supported Models

• gemini-2.5-pro
• gemini-2.5-flash
• gemini-2.5-flash-lite
• gemini-2.5-flash-image-preview
• gpt-5
• gpt-5-codex
• claude-opus-4-1-20250805
• claude-opus-4-20250514
• claude-sonnet-4-20250514
• claude-sonnet-4-5-20250929
• claude-3-7-sonnet-20250219
• claude-3-5-haiku-20241022
• qwen3-coder-plus
• qwen3-coder-flash
• qwen3-max
• qwen3-vl-plus
• deepseek-v3.2
• deepseek-v3.1
• deepseek-r1
• deepseek-v3
• kimi-k2
• glm-4.5
• tstars2.0
• And other iFlow-supported models
• Gemini models auto-switch to preview variants when needed

Configuration

The server uses a YAML configuration file (config.yaml) located in the project root directory by default. You can specify a different configuration file path using the --config flag:

./cli-proxy-api --config /path/to/your/config.yaml

Configuration Options

Example Configuration File

# Server port
port: 8317

# Management API settings
remote-management:
  # Whether to allow remote (non-localhost) management access.
  # When false, only localhost can access management endpoints (a key is still required).
  allow-remote: false

  # Management key. If a plaintext value is provided here, it will be hashed on startup.
  # All management requests (even from localhost) require this key.
  # Leave empty to disable the Management API entirely (404 for all /v0/management routes).
  secret-key: ""

  # Disable the bundled management control panel asset download and HTTP route when true.
  disable-control-panel: false

# Authentication directory (supports ~ for home directory). If you use Windows, please set the directory like this: `C:/cli-proxy-api/`
auth-dir: "~/.cli-proxy-api"

# Enable debug logging
debug: false

# When true, write application logs to rotating files instead of stdout
logging-to-file: true

# When false, disable in-memory usage statistics aggregation
usage-statistics-enabled: true

# Proxy URL. Supports socks5/http/https protocols. Example: socks5://user:pass@192.168.1.1:1080/
proxy-url: ""

# Number of times to retry a request. Retries will occur if the HTTP response code is 403, 408, 500, 502, 503, or 504.
request-retry: 3

# Quota exceeded behavior
quota-exceeded:
   switch-project: true # Whether to automatically switch to another project when a quota is exceeded
   switch-preview-model: true # Whether to automatically switch to a preview model when a quota is exceeded

# Gemini Web client configuration
gemini-web:
  context: true # Enable conversation context reuse
  gem-mode: "" # Select Gem: "coding-partner" or "writing-editor"; empty means no Gem
  max-chars-per-request: 1000000 # Max characters per request

# API keys for official Generative Language API
generative-language-api-key:
  - "AIzaSy...01"
  - "AIzaSy...02"
  - "AIzaSy...03"
  - "AIzaSy...04"

# Codex API keys
codex-api-key:
  - api-key: "sk-atSM..."
    base-url: "https://www.example.com" # use the custom codex API endpoint
    proxy-url: "socks5://proxy.example.com:1080" # optional: per-key proxy override

# Claude API keys
claude-api-key:
  - api-key: "sk-atSM..." # use the official claude API key, no need to set the base url
  - api-key: "sk-atSM..."
    base-url: "https://www.example.com" # use the custom claude API endpoint
    proxy-url: "socks5://proxy.example.com:1080" # optional: per-key proxy override

# OpenAI compatibility providers
openai-compatibility:
  - name: "openrouter" # The name of the provider; it will be used in the user agent and other places.
    base-url: "https://openrouter.ai/api/v1" # The base URL of the provider.
    # New format with per-key proxy support (recommended):
    api-key-entries:
      - api-key: "sk-or-v1-...b780"
        proxy-url: "socks5://proxy.example.com:1080" # optional: per-key proxy override
      - api-key: "sk-or-v1-...b781" # without proxy-url
    # Legacy format (still supported, but cannot specify proxy per key):
    # api-keys:
    #   - "sk-or-v1-...b780"
    #   - "sk-or-v1-...b781"
    models: # The models supported by the provider.
      - name: "moonshotai/kimi-k2:free" # The actual model name.
        alias: "kimi-k2" # The alias used in the API.

OpenAI Compatibility Providers

Configure upstream OpenAI-compatible providers (e.g., OpenRouter) via openai-compatibility.

• name: provider identifier used internally
• base-url: provider base URL
• api-key-entries: list of API key entries with optional per-key proxy configuration (recommended)
• api-keys: (deprecated) simple list of API keys without proxy support
• models: list of mappings from upstream model name to local alias

Example with per-key proxy support:

openai-compatibility:
  - name: "openrouter"
    base-url: "https://openrouter.ai/api/v1"
    api-key-entries:
      - api-key: "sk-or-v1-...b780"
        proxy-url: "socks5://proxy.example.com:1080"
      - api-key: "sk-or-v1-...b781"
    models:
      - name: "moonshotai/kimi-k2:free"
        alias: "kimi-k2"

Legacy format (still supported):

openai-compatibility:
  - name: "openrouter"
    base-url: "https://openrouter.ai/api/v1"
    api-keys:
      - "sk-or-v1-...b780"
      - "sk-or-v1-...b781"
    models:
      - name: "moonshotai/kimi-k2:free"
        alias: "kimi-k2"

Usage:

Call OpenAI's endpoint /v1/chat/completions with model set to the alias (e.g., kimi-k2). The proxy routes to the configured provider/model automatically.

Also, you may call Claude's endpoint /v1/messages, Gemini's /v1beta/models/model-name:streamGenerateContent or /v1beta/models/model-name:generateContent.

And you can always use Gemini CLI with CODE_ASSIST_ENDPOINT set to http://127.0.0.1:8317 for these OpenAI-compatible provider's models.

Authentication Directory

The auth-dir parameter specifies where authentication tokens are stored. When you run the login command, the application will create JSON files in this directory containing the authentication tokens for your Google accounts. Multiple accounts can be used for load balancing.

Request Authentication Providers

Configure inbound authentication through the auth.providers section. The built-in config-api-key provider works with inline keys:

auth:
  providers:
    - name: default
      type: config-api-key
      api-keys:
        - your-api-key-1

Clients should send requests with an Authorization: Bearer your-api-key-1 header (or X-Goog-Api-Key, X-Api-Key, or ?key= as before). The legacy top-level api-keys array is still accepted and automatically synced to the default provider for backwards compatibility.

Official Generative Language API

The generative-language-api-key parameter allows you to define a list of API keys that can be used to authenticate requests to the official Generative Language API.

Hot Reloading

The server watches the config file and the auth-dir for changes and reloads clients and settings automatically. You can add or remove Gemini/OpenAI token JSON files while the server is running; no restart is required.

Gemini CLI with multiple account load balancing

Start CLI Proxy API server, and then set the CODE_ASSIST_ENDPOINT environment variable to the URL of the CLI Proxy API server.

export CODE_ASSIST_ENDPOINT="http://127.0.0.1:8317"

The server will relay the loadCodeAssist, onboardUser, and countTokens requests. And automatically load balance the text generation requests between the multiple accounts.

[!NOTE]
This feature only allows local access because there is currently no way to authenticate the requests.
127.0.0.1 is hardcoded for load balancing.

Claude Code with multiple account load balancing

Start CLI Proxy API server, and then set the ANTHROPIC_BASE_URL, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_MODEL, ANTHROPIC_SMALL_FAST_MODEL environment variables.

Using Gemini models:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gemini-2.5-pro
export ANTHROPIC_SMALL_FAST_MODEL=gemini-2.5-flash

Using OpenAI GPT 5 models:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gpt-5
export ANTHROPIC_SMALL_FAST_MODEL=gpt-5-minimal

Using OpenAI GPT 5 Codex models:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gpt-5-codex
export ANTHROPIC_SMALL_FAST_MODEL=gpt-5-codex-low

Using Claude models:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=claude-sonnet-4-20250514
export ANTHROPIC_SMALL_FAST_MODEL=claude-3-5-haiku-20241022

Using Qwen models:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=qwen3-coder-plus
export ANTHROPIC_SMALL_FAST_MODEL=qwen3-coder-flash

Using iFlow models:

export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=qwen3-max
export ANTHROPIC_SMALL_FAST_MODEL=qwen3-235b-a22b-instruct

Codex with multiple account load balancing

Start CLI Proxy API server, and then edit the ~/.codex/config.toml and ~/.codex/auth.json files.

config.toml:

model_provider = "cliproxyapi"
model = "gpt-5-codex" # Or gpt-5, you can also use any of the models that we support.
model_reasoning_effort = "high"

[model_providers.cliproxyapi]
name = "cliproxyapi"
base_url = "http://127.0.0.1:8317/v1"
wire_api = "responses"

auth.json:

{
  "OPENAI_API_KEY": "sk-dummy"
}

Run with Docker

Run the following command to login (Gemini OAuth on port 8085):

docker run --rm -p 8085:8085 -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest /CLIProxyAPI/CLIProxyAPI --login

Run the following command to login (Gemini Web Cookies):

docker run -it --rm -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest /CLIProxyAPI/CLIProxyAPI --gemini-web-auth

Run the following command to login (OpenAI OAuth on port 1455):

docker run --rm -p 1455:1455 -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest /CLIProxyAPI/CLIProxyAPI --codex-login

Run the following command to logi (Claude OAuth on port 54545):

docker run -rm -p 54545:54545 -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest /CLIProxyAPI/CLIProxyAPI --claude-login

Run the following command to login (Qwen OAuth):

docker run -it -rm -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest /CLIProxyAPI/CLIProxyAPI --qwen-login

Run the following command to login (iFlow OAuth on port 11451):

docker run --rm -p 11451:11451 -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest /CLIProxyAPI/CLIProxyAPI --iflow-login

Run the following command to start the server:

docker run --rm -p 8317:8317 -v /path/to/your/config.yaml:/CLIProxyAPI/config.yaml -v /path/to/your/auth-dir:/root/.cli-proxy-api eceasy/cli-proxy-api:latest

Run with Docker Compose

1. Clone the repository and navigate into the directory:

   git clone https://github.com/luispater/CLIProxyAPI.git
   cd CLIProxyAPI
   

2. Prepare the configuration file: Create a config.yaml file by copying the example and customize it to your needs.

   cp config.example.yaml config.yaml
   

   (Note for Windows users: You can use copy config.example.yaml config.yaml in CMD or PowerShell.)

3. Start the service:

   • For most users (recommended): Run the following command to start the service using the pre-built image from Docker Hub. The service will run in the background.

     docker compose up -d
     

   • For advanced users: If you have modified the source code and need to build a new image, use the interactive helper scripts:
     • For Windows (PowerShell):

       .\docker-build.ps1
       

     • For Linux/macOS:

       bash docker-build.sh
       

     The script will prompt you to choose how to run the application:
     • Option 1: Run using Pre-built Image (Recommended): Pulls the latest official image from the registry and starts the container. This is the easiest way to get started.
     • Option 2: Build from Source and Run (For Developers): Builds the image from the local source code, tags it as cli-proxy-api:local, and then starts the container. This is useful if you are making changes to the source code.

4. To authenticate with providers, run the login command inside the container:

   • Gemini:

   docker compose exec cli-proxy-api /CLIProxyAPI/CLIProxyAPI -no-browser --login
   

   • Gemini Web:

   docker compose exec cli-proxy-api /CLIProxyAPI/CLIProxyAPI --gemini-web-auth
   

   • OpenAI (Codex):

   docker compose exec cli-proxy-api /CLIProxyAPI/CLIProxyAPI -no-browser --codex-login
   

   • Claude:

   docker compose exec cli-proxy-api /CLIProxyAPI/CLIProxyAPI -no-browser --claude-login
   

   • Qwen:

   docker compose exec cli-proxy-api /CLIProxyAPI/CLIProxyAPI -no-browser --qwen-login
   

   • iFlow:

   docker compose exec cli-proxy-api /CLIProxyAPI/CLIProxyAPI -no-browser --iflow-login
   

5. To view the server logs:

   docker compose logs -f
   

6. To stop the application:

   docker compose down
   

Management API

see MANAGEMENT_API.md

SDK Docs

• Usage: docs/sdk-usage.md
• Advanced (executors & translators): docs/sdk-advanced.md
• Access: docs/sdk-access.md
• Watcher: docs/sdk-watcher.md
• Custom Provider Example: examples/custom-provider

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Who is with us?

Those projects are based on CLIProxyAPI:

vibeproxy

Native macOS menu bar app to use your Claude Code & ChatGPT subscriptions with AI coding tools - no API keys needed

[!NOTE]
If you developed a project based on CLIProxyAPI, please open a PR to add it to this list.

License

This project is licensed under the MIT License - see the LICENSE file for details.