[!WARNING] This is a reverse-engineered proxy of GitHub Copilot API. It is not supported by GitHub, and may break unexpectedly. Use at your own risk.
[!WARNING] GitHub Security Notice:
Excessive automated or scripted use of Copilot (including rapid or bulk requests, such as via automated tools) may trigger GitHub's abuse-detection systems.
You may receive a warning from GitHub Security, and further anomalous activity could result in temporary suspension of your Copilot access.GitHub prohibits use of their servers for excessive automated bulk activity or any activity that places undue burden on their infrastructure.
Please review:
Use this proxy responsibly to avoid account restrictions.
Note: If you are using opencode, you do not need this project. Opencode supports GitHub Copilot provider out of the box.
A reverse-engineered proxy for the GitHub Copilot API that exposes it as an OpenAI and Anthropic compatible service. This allows you to use GitHub Copilot with any tool that supports the OpenAI Chat Completions API or the Anthropic Messages API, including to power Claude Code.
/v1/chat/completions, /v1/models, /v1/embeddings) and Anthropic-compatible (/v1/messages) API.--claude-code).--rate-limit) and a waiting mechanism (--wait) to prevent errors from rapid requests.--manual).--show-token).https://github.com/user-attachments/assets/7654b383-669d-4eb9-b23c-06d7aefee8c5
To install dependencies, run:
bun install
Build image
docker build -t copilot-api .
Run the container
# Create a directory on your host to persist the GitHub token and related data
mkdir -p ./copilot-data
# Run the container with a bind mount to persist the token
# This ensures your authentication survives container restarts
docker run -p 4141:4141 -v $(pwd)/copilot-data:/root/.local/share/copilot-api copilot-api
Note: The GitHub token and related data will be stored in
copilot-dataon your host. This is mapped to/root/.local/share/copilot-apiinside the container, ensuring persistence across restarts.
You can pass the GitHub token directly to the container using environment variables:
# Build with GitHub token
docker build --build-arg GH_TOKEN=your_github_token_here -t copilot-api .
# Run with GitHub token
docker run -p 4141:4141 -e GH_TOKEN=your_github_token_here copilot-api
# Run with additional options
docker run -p 4141:4141 -e GH_TOKEN=your_token copilot-api start --verbose --port 4141
version: "3.8"
services:
copilot-api:
build: .
ports:
- "4141:4141"
environment:
- GH_TOKEN=your_github_token_here
restart: unless-stopped
The Docker image includes:
You can run the project directly using npx:
npx copilot-api@latest start
With options:
npx copilot-api@latest start --port 8080
For authentication only:
npx copilot-api@latest auth
Copilot API now uses a subcommand structure with these main commands:
start: Start the Copilot API server. This command will also handle authentication if needed.auth: Run GitHub authentication flow without starting the server. This is typically used if you need to generate a token for use with the --github-token option, especially in non-interactive environments.check-usage: Show your current GitHub Copilot usage and quota information directly in the terminal (no server required).debug: Display diagnostic information including version, runtime details, file paths, and authentication status. Useful for troubleshooting and support.The following command line options are available for the start command:
| Option | Description | Default | Alias |
|---|---|---|---|
| --port | Port to listen on | 4141 | -p |
| --verbose | Enable verbose logging | false | -v |
| --account-type | Account type to use (individual, business, enterprise) | individual | -a |
| --manual | Enable manual request approval | false | none |
| --rate-limit | Rate limit in seconds between requests | none | -r |
| --wait | Wait instead of error when rate limit is hit | false | -w |
| --github-token | Provide GitHub token directly (must be generated using the auth subcommand) |
none | -g |
| --claude-code | Generate a command to launch Claude Code with Copilot API config | false | -c |
| --show-token | Show GitHub and Copilot tokens on fetch and refresh | false | none |
| --proxy-env | Initialize proxy from environment variables | false | none |
| Option | Description | Default | Alias |
|---|---|---|---|
| --verbose | Enable verbose logging | false | -v |
| --show-token | Show GitHub token on auth | false | none |
| Option | Description | Default | Alias |
|---|---|---|---|
| --json | Output debug info as JSON | false | none |
The server exposes several endpoints to interact with the Copilot API. It provides OpenAI-compatible endpoints and now also includes support for Anthropic-compatible endpoints, allowing for greater flexibility with different tools and services.
These endpoints mimic the OpenAI API structure.
| Endpoint | Method | Description |
|---|---|---|
POST /v1/chat/completions |
POST |
Creates a model response for the given chat conversation. |
GET /v1/models |
GET |
Lists the currently available models. |
POST /v1/embeddings |
POST |
Creates an embedding vector representing the input text. |
These endpoints are designed to be compatible with the Anthropic Messages API.
| Endpoint | Method | Description |
|---|---|---|
POST /v1/messages |
POST |
Creates a model response for a given conversation. |
POST /v1/messages/count_tokens |
POST |
Calculates the number of tokens for a given set of messages. |
New endpoints for monitoring your Copilot usage and quotas.
| Endpoint | Method | Description |
|---|---|---|
GET /usage |
GET |
Get detailed Copilot usage statistics and quota information. |
GET /token |
GET |
Get the current Copilot token being used by the API. |
Using with npx:
# Basic usage with start command
npx copilot-api@latest start
# Run on custom port with verbose logging
npx copilot-api@latest start --port 8080 --verbose
# Use with a business plan GitHub account
npx copilot-api@latest start --account-type business
# Use with an enterprise plan GitHub account
npx copilot-api@latest start --account-type enterprise
# Enable manual approval for each request
npx copilot-api@latest start --manual
# Set rate limit to 30 seconds between requests
npx copilot-api@latest start --rate-limit 30
# Wait instead of error when rate limit is hit
npx copilot-api@latest start --rate-limit 30 --wait
# Provide GitHub token directly
npx copilot-api@latest start --github-token ghp_YOUR_TOKEN_HERE
# Run only the auth flow
npx copilot-api@latest auth
# Run auth flow with verbose logging
npx copilot-api@latest auth --verbose
# Show your Copilot usage/quota in the terminal (no server needed)
npx copilot-api@latest check-usage
# Display debug information for troubleshooting
npx copilot-api@latest debug
# Display debug information in JSON format
npx copilot-api@latest debug --json
# Initialize proxy from environment variables (HTTP_PROXY, HTTPS_PROXY, etc.)
npx copilot-api@latest start --proxy-env
After starting the server, a URL to the Copilot Usage Dashboard will be displayed in your console. This dashboard is a web interface for monitoring your API usage.
sh
npx copilot-api@latest starthttps://ericc-ch.github.io/copilot-api?endpoint=http://localhost:4141/usagestart.bat script on Windows, this page will open automatically.The dashboard provides a user-friendly interface to view your Copilot usage data:
https://ericc-ch.github.io/copilot-api?endpoint=http://your-api-server/usageThis proxy can be used to power Claude Code, an experimental conversational AI assistant for developers from Anthropic.
There are two ways to configure Claude Code to use this proxy:
--claude-code flagTo get started, run the start command with the --claude-code flag:
npx copilot-api@latest start --claude-code
You will be prompted to select a primary model and a "small, fast" model for background tasks. After selecting the models, a command will be copied to your clipboard. This command sets the necessary environment variables for Claude Code to use the proxy.
Paste and run this command in a new terminal to launch Claude Code.
settings.jsonAlternatively, you can configure Claude Code by creating a .claude/settings.json file in your project's root directory. This file should contain the environment variables needed by Claude Code. This way you don't need to run the interactive setup every time.
Here is an example .claude/settings.json file:
{
"env": {
"ANTHROPIC_BASE_URL": "http://localhost:4141",
"ANTHROPIC_AUTH_TOKEN": "dummy",
"ANTHROPIC_MODEL": "gpt-4.1",
"ANTHROPIC_DEFAULT_SONNET_MODEL": "gpt-4.1",
"ANTHROPIC_SMALL_FAST_MODEL": "gpt-4.1",
"ANTHROPIC_DEFAULT_HAIKU_MODEL": "gpt-4.1",
"DISABLE_NON_ESSENTIAL_MODEL_CALLS": "1",
"CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": "1"
},
"permissions": {
"deny": [
"WebSearch"
]
}
}
You can find more options here: [Claude Code settings](https://docs.anthropic.com/en/docs/claude-code/settings#environment-varia
$ claude mcp add copilot-api \
-- python -m otcore.mcp_server <graph>