GitHub Copilot API Gateway

Use GitHub Copilot like any other AI API.
One VS Code extension. Zero API keys. Works with LangChain, Cursor, Aider, and 50+ tools.

GitHub Copilot API Gateway Demo

⚡ Quick Start

# 1. Install from VS Code Marketplace (search "GitHub Copilot API Gateway")
# 2. Click "Start Server" in the sidebar
# 3. Done. Your local API is ready.

Use it like OpenAI:

from openai import OpenAI

client = OpenAI(
    base_url="http://127.0.0.1:3030/v1",
    api_key="anything"  # No real API key needed
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)

✅ What You Can Do

Use Cursor with Copilot as the backend model
Run LangChain agents without paying for OpenAI
Power AutoGPT and CrewAI agents locally
Query data with PandasAI and LlamaIndex
Build chatbots with Botpress, Chainlit, or Rasa
Pair program with Aider or Open Interpreter
Generate code with GPT Engineer or Sweep
Connect Clawdbot to power AI on WhatsApp, Telegram, Discord & Slack

If it speaks OpenAI, it works with this gateway.

🤖 Using with Clawdbot (Moltbot)

Clawdbot is an open-source AI assistant that brings LLMs to messaging platforms like WhatsApp, Telegram, Discord, and Slack. Since it supports any OpenAI-compatible API endpoint, you can use this gateway to power Clawdbot with GitHub Copilot:

Start the Copilot API Gateway in VS Code
Expose the API (set host to 0.0.0.0 if Clawdbot runs on another machine)
Configure Clawdbot to use your gateway:

# In your Clawdbot config
llm:
  provider: openai
  base_url: http://YOUR-IP:3030/v1
  api_key: your-optional-api-key  # or "anything" if auth is disabled
  model: gpt-4o

Now your WhatsApp/Telegram/Discord/Slack bots are powered by Copilot! 🚀

🔌 API Endpoints

Endpoint	Method	Description
`/v1/chat/completions`	POST	Chat completions (streaming supported)
`/v1/completions`	POST	Legacy completions API (streaming supported)
`/v1/responses`	POST	OpenAI Responses API (2026 spec, streaming supported)
`/v1/models`	GET	List all available models
`/v1/tools`	GET	List available tools (VS Code + MCP)
`/v1/tools/call`	POST	Execute a tool directly
`/v1/mcp/servers`	GET	List connected MCP servers
`/v1/messages`	POST	Anthropic Claude-compatible endpoint
`/v1beta/models/:model:generateContent`	POST	Google Gemini-compatible endpoint
`/health`	GET	Server health check
`/docs`	GET	Interactive Swagger UI

⚙️ Configuration

Customize in VS Code Settings (githubCopilotApi.*):

{
  "githubCopilotApi.server.port": 3030,
  "githubCopilotApi.server.host": "127.0.0.1",
  "githubCopilotApi.server.apiKey": "",
  "githubCopilotApi.server.autoStart": false
}

Setting	Default	Description
`server.port`	3030	Local server port
`server.host`	127.0.0.1	Bind address (use `0.0.0.0` for LAN access)
`server.apiKey`	(empty)	Optional Bearer token for authentication
`server.autoStart`	false	Start server when VS Code opens

For advanced options (TLS, IP allowlisting, audit logging), see CONTRIBUTING.md.

📦 Requirements

VS Code 1.95+
GitHub Copilot Chat extension (must be signed in)

📖 Documentation

📝 License

MIT License — See LICENSE for details.

Disclaimer: This extension is an independent project and is not affiliated with GitHub, Microsoft, or OpenAI. It leverages your existing GitHub Copilot subscription. Use responsibly.

Built with ❤️ by Suhaib Bin Younis