Gemini Any LLM Gateway

Let the Gemini CLI access any large language model provider

中文版请见 README_CN.md

Gemini Any LLM Gateway is an API gateway service that lets you seamlessly access various large language model providers (such as OpenAI, ZhipuAI, Qwen, etc.) via the Gemini CLI. You can enjoy diverse AI model services without modifying the Gemini CLI.

Core Features:

• 🔌 Plug-and-play - Fully compatible, no Gemini CLI changes required
• 🌐 Multi-provider support - Supports Codex, Claude Code, OpenAI, ZhipuAI, Qwen, and more
• ⚡ High-performance streaming responses - Real-time streaming output for a smooth experience
• 🛠️ Intelligent tool calling - Complete Function Calling support
• 📁 Flexible configuration management - Global plus project-level configuration for easy use

1. Install Gemini CLI (if you haven't yet):

npm install -g @google/gemini-cli@latest --registry https://registry.npmmirror.com
npm install -g @google/gemini-cli-core@latest --registry https://registry.npmmirror.com

2. Install this gateway:

npm install -g @kdump/gemini-any-llm@latest --registry https://registry.npmmirror.com

Run the following command to get started:

gal code

First-run flow:

• The system automatically launches a setup wizard and asks you to choose an AI Provider (claudeCode, codex, or openai)
• Then fill in the following based on your provider:
  • Base URL
    • OpenAI default: https://open.bigmodel.cn/api/paas/v4
    • Codex default: https://chatgpt.com/backend-api/codex
    • Claude Code default: https://open.bigmodel.cn/api/anthropic(可替换为你自己的 relay 地址,如 https://<host>/api)
  • Default model
    • OpenAI default: glm-4.5
    • Codex default: gpt-5-codex
    • Claude Code default: claude-sonnet-4-20250514
  • Auth mode(Codex only, supports ApiKey or ChatGPT)
  • API Key(OpenAI / Codex-ApiKey / Claude Code 模式都需要填写)
• For Claude Code, the gateway automatically sends both x-api-key and Authorization: Bearer headers so it works with Anthropic relay services out of the box.
• Configuration is saved to ~/.gemini-any-llm/config.yaml
• Automatically generates or updates ~/.gemini/settings.json, setting the auth type to gemini-api-key
• Automatically starts the background gateway service and waits for it to become ready
• Launches the Gemini CLI for conversation

💡 Codex ChatGPT mode: If you choose Codex + ChatGPT in the wizard, the first request will prompt you to finish OAuth login in a browser. The login link appears in the terminal. After a successful login, the token is stored in ~/.gemini-any-llm/codex/auth.json. Tokens refresh automatically so you don’t need to log in again.

Run this when you need to reconfigure or switch providers:

gal auth

# Start a conversation
gal code "Write an HTTP service in TypeScript"
# Explain code
gal code "Explain what this code does"
# Optimization tips
gal code "Help me optimize this algorithm"

# Analyze the code files in the current directory
gal code "Please analyze the architecture of this project"
# Request a code review
gal code "Please review my code and suggest improvements"

# View all Gemini CLI options
gal code --help
# Use other Gemini CLI parameters
gal code --temperature 0.7 "Write a creative story"

gal provides the following primary commands:

• gal code [prompt] - Chat with the AI assistant (main feature)
• gal auth - Configure AI service credentials
• gal start - Manually start the background gateway service
• gal stop - Stop the gateway service
• gal restart - Restart the gateway service
• gal status - Check the gateway status
• gal kill - Force-kill stuck processes (for troubleshooting)
• gal update - Manually check for a new release and install it
• gal version - Display the current version
• gal --help - Show help information

1. Run gal auth, choose Codex as the provider, and set the auth mode to ChatGPT in the wizard.
2. The first time you run gal code or gal start, the terminal prints a https://auth.openai.com/oauth/authorize?... link. Copy it into a browser to complete the login.
3. During login the CLI spins up a temporary callback service on 127.0.0.1:1455. If the port is taken, free it or try again (the CLI retries automatically and shows error reasons).
4. After the authorization succeeds you’ll see "Login successful, you may return to the terminal." Tokens are saved to ~/.gemini-any-llm/codex/auth.json, including access_token, refresh_token, id_token, and the refresh timestamp.
5. The gateway refreshes tokens automatically afterwards, so you don’t need to log in again. If you delete or move auth.json, the browser login will be triggered the next time you send a request.

To customize the token directory, set the CODEX_HOME environment variable (defaults to ~/.gemini-any-llm/codex).

The system supports a flexible configuration hierarchy. Higher priority values override lower ones:

1. Project configuration (./config/config.yaml) - Highest priority, project-specific
2. Global configuration (~/.gemini-any-llm/config.yaml) - Medium priority, user defaults
3. Environment variables - Lowest priority, baseline settings

You can also configure settings with environment variables (baseline settings with the lowest priority):

# Choose the primary provider (supports claudeCode / codex / openai)
export GAL_AI_PROVIDER="codex"
# Codex configuration
# Auth mode can be apikey / chatgpt (default apikey)
export GAL_CODEX_AUTH_MODE="chatgpt"
# Provide the API Key when using ApiKey mode; leave empty for ChatGPT mode
export GAL_CODEX_API_KEY="your-codex-api-key"
export GAL_CODEX_BASE_URL="https://chatgpt.com/backend-api/codex"
export GAL_CODEX_MODEL="gpt-5-codex"
export GAL_CODEX_TIMEOUT="1800000"
# Optional: reasoning parameters and output verbosity control
export GAL_CODEX_REASONING='{"effort":"medium"}'
export GAL_CODEX_TEXT_VERBOSITY="medium"
# Optional: custom OAuth token directory (defaults to ~/.gemini-any-llm/codex)
export CODEX_HOME="$HOME/.custom-codex"
# Claude Code configuration
export GAL_CLAUDE_CODE_API_KEY="your-claude-code-api-key"
export GAL_CLAUDE_CODE_BASE_URL="https://open.bigmodel.cn/api/anthropic" # 或自建 relay 的 /api 根路径
export GAL_CLAUDE_CODE_MODEL="claude-sonnet-4-20250514"
export GAL_CLAUDE_CODE_TIMEOUT="1800000"
export GAL_CLAUDE_CODE_VERSION="2023年06月01日"
export GAL_CLAUDE_CODE_BETA="claude-code-20250219,interleaved-thinking-2025年05月14日"
export GAL_CLAUDE_CODE_USER_AGENT="claude-cli/1.0.119 (external, cli)"
export GAL_CLAUDE_CODE_X_APP="cli"
export GAL_CLAUDE_CODE_DANGEROUS_DIRECT="true"
export GAL_CLAUDE_CODE_MAX_OUTPUT="64000"
# OpenAI / compatible service configuration
export GAL_OPENAI_API_KEY="your-api-key"
export GAL_OPENAI_BASE_URL="https://api.openai.com/v1"
export GAL_OPENAI_MODEL="gpt-4"
export GAL_OPENAI_TIMEOUT="1800000"
# Optional: OpenAI organization ID
export GAL_OPENAI_ORGANIZATION="org-xxxxxx"
# Gateway configuration
export GAL_PORT="23062"
export GAL_HOST="0.0.0.0"
export GAL_LOG_LEVEL="info"
export GAL_GATEWAY_LOG_DIR="~/.gemini-any-llm/logs"
export GAL_DISABLE_UPDATE_CHECK="1" # Disable automatic update prompts
# General advanced configuration
export GAL_RATE_LIMIT_MAX="100" # API rate limit cap (per 15 minutes)
export GAL_REQUEST_TIMEOUT="3600000" # Request timeout in milliseconds (default 1 hour)
export GAL_ALLOWED_ORIGINS="http://localhost:3000,http://localhost:8080" # Allowed origins for CORS
export GAL_LOG_DIR="/custom/log/path" # Custom log directory

If you want different models or settings for a given project, create the following in the project directory:

mkdir config
cat > config/config.yaml << EOF
openai:
 apiKey: "project-specific-key"
 model: "gpt-4"
 baseURL: "https://api.openai.com/v1"
 timeout: 1800000
gateway:
 port: 23062
 host: "0.0.0.0"
 logLevel: "info"
 logDir: "./logs"
EOF

To make Codex the default provider for the project, add:

aiProvider: codex
codex:
 authMode: ApiKey
 apiKey: "project-codex-key"
 baseURL: "https://chatgpt.com/backend-api/codex"
 model: "gpt-5-codex"
 timeout: 1800000
 # Optional: customize reasoning effort and output verbosity
 reasoning:
 effort: medium
 textVerbosity: medium

For OAuth login, switch to:

aiProvider: codex
codex:
 authMode: ChatGPT
 baseURL: "https://chatgpt.com/backend-api/codex"
 model: "gpt-5-codex"
 timeout: 1800000
 reasoning:
 effort: medium
 summary: auto
 textVerbosity: medium

• aiProvider - Primary provider type, choose openai or codex
• codex.authMode - Codex auth mode, supports ApiKey (static key) or ChatGPT (OAuth login with automatic refresh)
• openai.apiKey - API key for OpenAI or compatible services (required when using openai)
• openai.baseURL - Endpoint URL for OpenAI-compatible APIs (default: ZhipuAI)
• openai.model - Default model name (default: glm-4.5)
• openai.timeout - Request timeout in milliseconds (default: 1800000 ≈ 30 minutes)
• codex.apiKey - Codex API key (required only in ApiKey mode, optional in ChatGPT mode)
• codex.baseURL - Codex API endpoint URL (default: https://chatgpt.com/backend-api/codex)
• codex.model - Codex model name (default: gpt-5-codex)
• codex.timeout - Codex request timeout in milliseconds (default: 1800000 ≈ 30 minutes)
• codex.reasoning - Codex reasoning configuration, follows the Codex Responses API JSON schema
• codex.textVerbosity - Codex text verbosity, supports low/medium/high

• gateway.port - Service port (default: 23062)
• gateway.host - Bind address (default: 0.0.0.0)
• gateway.logLevel - Log level: debug/info/warn/error (default: info)
• gateway.logDir - Log directory (default: ~/.gemini-any-llm/logs)

Symptom: gal code hangs or shows no response

Solution:

# 1. Clean up stuck processes
gal kill
# 2. Try the conversation again
gal code "Hello"

Symptom: API Key is rejected or authentication fails

Solution:

# Reconfigure credentials
gal auth

Checklist:

• Make sure the API Key is correct and still valid
• Verify that the baseURL matches the provider
• Confirm that the account has sufficient quota

Symptom: Gateway fails to boot or health check reports errors

Solution:

# 1. Check service status
gal status
# 2. Restart the service manually
gal restart
# 3. If issues persist, force clean up
gal kill
gal start

Checklist:

• Check network connectivity to the AI provider
• Ensure port 23062 is free
• Verify the configuration file format is correct

Symptom: Port 23062 is already in use

Solution:

1. Change the port in the configuration file:

# ~/.gemini-any-llm/config.yaml
gateway:
 port: 23063 # Switch to another available port

2. Or set it via environment variables:

export PORT=23063

Symptom: Configuration validation fails

Solution:

1. Check the syntax in ~/.gemini-any-llm/config.yaml
2. Make sure all required fields are filled in
3. Validate file permissions (should be 600)

Symptom: Unable to read or write configuration files

Solution:

# Ensure the directory permissions are correct
chmod 700 ~/.gemini-any-llm
chmod 600 ~/.gemini-any-llm/config.yaml

Symptom: Connection times out or reports network errors

Solution:

1. Check your network connection
2. Try another baseURL (for example, a local mirror)
3. Increase the timeout:

openai:
 timeout: 1800000 # 30 minutes

To debug, inspect detailed logs:

# Tail gateway logs
tail -n 300 -f ~/.gemini-any-llm/logs/gateway-{date-time}.log
# Enable debug mode
export LOG_LEVEL=debug
gal restart

Symptom:

• Gemini CLI shows: "Model stream ended with an invalid chunk or missing finish reason."
• Gateway logs (~/.gemini-any-llm/logs/) contain errors such as:

InternalError.Algo.InvalidParameter: Range of input length should be [1, 98304]

Cause: The number of input tokens exceeds the default limit of the model

Solution:

1. Increase the input limit via extraBody.max_input_tokens:

# ~/.gemini-any-llm/config.yaml or a project configuration file
openai:
 apiKey: "your-api-key"
 baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1"
 model: "qwen-plus-latest"
 extraBody:
 max_input_tokens: 200000 # Increase the input token limit

2. Default limits for common models:
   • qwen-plus-latest: default 129,024, expandable to 1,000,000
   • qwen-plus-2025年07月28日: default 1,000,000
   • Refer to vendor manuals for other models

Solution:

# Reconfigure credentials
gal auth

In the wizard, choose the provider you need. You can also preselect it with the environment variable GAL_AI_PROVIDER (openai or codex).

Common configuration examples:

• OpenAI: https://api.openai.com/v1 + gpt-4 or gpt-4o
• Qwen: https://dashscope.aliyuncs.com/compatible-mode/v1 + qwen-plus or qwen-turbo
• ZhipuAI: https://open.bigmodel.cn/api/paas/v4 + glm-4.5
• Codex: https://chatgpt.com/backend-api/codex + gpt-5-codex

Solution: Create a config/config.yaml file in the project root:

openai:
 apiKey: "project-specific-key"
 model: "gpt-4"
 baseURL: "https://api.openai.com/v1"
 timeout: 1800000
gateway:
 logLevel: "debug" # Use debug mode during project development

Project configuration has the highest priority and overrides global settings.

Solution:

1. Check the service status:

gal status

2. Verify the network connection to the AI provider
3. Consider increasing the timeout:

openai:
 timeout: 1800000 # 30 minutes

4. If the issue persists, restart the service:

gal restart

• 📋 Development Guide - Development environment setup and build instructions
• 🧠 Architecture Guide - Detailed technical architecture and development notes
• 🧪 Testing Guide - Testing architecture and run instructions

• Every interactive gal command checks ~/.gemini-any-llm/version.json and refreshes the cache in the background every 20 hours. Network errors during the check never block the gateway.
• When you run gal code, the CLI pauses before launching the Gemini experience if a newer version exists and offers four options: y (update now), n (skip for this run), skip (ignore this release), or off (disable future checks and restart the gateway).
• Run gal update at any time to synchronously refresh the cache and install the latest published package.
• Set GAL_DISABLE_UPDATE_CHECK=1 if you need to permanently opt out of automatic checks (also available through the off option in the prompt).

This project draws inspiration from claude-code-router, llxprt-code, and aio-cli. We sincerely thank these excellent open-source projects and their contributors.

Issues and pull requests are welcome!

Apache License 2.0