litellm/docs/my-website/docs/tutorials/github_copilot_integration.md

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GitHub Copilot

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GitHub Copilot

This tutorial shows you how to integrate GitHub Copilot with LiteLLM Proxy, allowing you to route requests through LiteLLM's unified interface.

:::info

This tutorial is based on Sergio Pino's excellent guide for calling GitHub Copilot models through LiteLLM Proxy. This integration allows you to use any LiteLLM supported model through GitHub Copilot's interface.

:::

Benefits of using GitHub Copilot with LiteLLM

When you use GitHub Copilot with LiteLLM you get the following benefits:

Developer Benefits:

• Universal Model Access: Use any LiteLLM supported model (Anthropic, OpenAI, Vertex AI, Bedrock, etc.) through the GitHub Copilot interface.
• Higher Rate Limits & Reliability: Load balance across multiple models and providers to avoid hitting individual provider limits, with fallbacks to ensure you get responses even if one provider fails.

Proxy Admin Benefits:

• Centralized Management: Control access to all models through a single LiteLLM proxy instance without giving your developers API Keys to each provider.
• Budget Controls: Set spending limits and track costs across all GitHub Copilot usage.

Prerequisites

Before you begin, ensure you have:

• GitHub Copilot subscription (Individual, Business, or Enterprise)
• A running LiteLLM Proxy instance
• A valid LiteLLM Proxy API key
• VS Code or compatible IDE with GitHub Copilot extension

Quick Start Guide

Step 1: Install LiteLLM

Install LiteLLM with proxy support:

pip install litellm[proxy]

Step 2: Configure LiteLLM Proxy

Create a config.yaml file with your model configurations:

model_list:
  - model_name: gpt-4o
    litellm_params:
      model: gpt-4o
      api_key: os.environ/OPENAI_API_KEY
  
  - model_name: claude-3-5-sonnet
    litellm_params:
      model: anthropic/claude-3-5-sonnet-20241022
      api_key: os.environ/ANTHROPIC_API_KEY

general_settings:
  master_key: sk-1234567890 # Change this to a secure key

Step 3: Start LiteLLM Proxy

Start the proxy server:

litellm --config config.yaml --port 4000

Step 4: Configure GitHub Copilot

Configure GitHub Copilot to use your LiteLLM proxy. Add the following to your VS Code settings.json:

{
  "github.copilot.advanced": {
    "debug.overrideProxyUrl": "http://localhost:4000",
    "debug.testOverrideProxyUrl": "http://localhost:4000"
  }
}

Step 5: Test the Integration

Restart VS Code and test GitHub Copilot. Your requests will now be routed through LiteLLM Proxy, giving you access to LiteLLM's features like:

• Request/response logging
• Rate limiting
• Cost tracking
• Model routing and fallbacks

Advanced

Use Anthropic, OpenAI, Bedrock, etc. models with GitHub Copilot

You can route GitHub Copilot requests to any provider by configuring different models in your LiteLLM Proxy config:

Route requests to Claude Sonnet:

model_list:
  - model_name: claude-3-5-sonnet
    litellm_params:
      model: anthropic/claude-3-5-sonnet-20241022
      api_key: os.environ/ANTHROPIC_API_KEY

general_settings:
  master_key: sk-1234567890

Route requests to GPT-4o:

model_list:
  - model_name: gpt-4o
    litellm_params:
      model: gpt-4o
      api_key: os.environ/OPENAI_API_KEY

general_settings:
  master_key: sk-1234567890

Route requests to Claude on Bedrock:

model_list:
  - model_name: bedrock-claude
    litellm_params:
      model: bedrock/anthropic.claude-haiku-4-5-20251001:0
      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
      aws_region_name: us-east-1

general_settings:
  master_key: sk-1234567890

All deployments with the same model_name will be load balanced. In this example we load balance between OpenAI and Anthropic:

model_list:
  - model_name: gpt-4o
    litellm_params:
      model: gpt-4o
      api_key: os.environ/OPENAI_API_KEY
  - model_name: gpt-4o  # Same model name for load balancing
    litellm_params:
      model: anthropic/claude-3-5-sonnet-20241022
      api_key: os.environ/ANTHROPIC_API_KEY

router_settings:
  routing_strategy: simple-shuffle

general_settings:
  master_key: sk-1234567890

With this configuration, GitHub Copilot will automatically route requests through LiteLLM to your configured provider(s) with load balancing and fallbacks.

Troubleshooting

If you encounter issues:

1. GitHub Copilot not using proxy: Verify the proxy URL is correctly configured in VS Code settings and that LiteLLM proxy is running
2. Authentication errors: Ensure your master key is valid and API keys for providers are correctly set
3. Connection errors: Check that your LiteLLM Proxy is accessible at http://localhost:4000

Credits

This tutorial is based on the work by Sergio Pino from his original article: Calling GitHub Copilot models from OpenHands using LiteLLM Proxy. Thank you for the foundational work!