Setting up Copilot Extensions

1. Learn about Copilot 에이전트

Copilot 에이전트 contain the custom code for your Copilot 확장, and integrate with a GitHub App to form the Copilot 확장 itself. For more information, see About agents for Copilot Extensions.

To successfully build a Copilot 에이전트, you need to understand how the agent communicates with:

• The Copilot platform using server-sent events. See Configuring your Copilot agent to communicate with the Copilot platform.
• The GitHub API. See Configuring your Copilot agent to communicate with GitHub.

2. Review example Copilot 에이전트 and the Copilot 확장 SDK

To see the previous concepts in practice and learn about agent implementations, review the following example agents and software development kit (SDK), all of which are available in the copilot-extensions organization:

• Blackbeard (best starting point): A simple agent that responds to requests like a pirate using Copilot's large language model (LLM) API and special system prompts.
• GitHub Models: A more complex agent that lets you ask about and interact with various LLMs listed on the GitHub Marketplace through Copilot 채팅. The GitHub Models agent makes use of function calling.
• Function Calling: An example agent written in Go that demonstrates function calling and confirmation dialogs.
• RAG Extension: An example agent written in Go that demonstrates a simple implementation of retrieval augmented generation.
• Preview SDK: An SDK that streamlines the development of Copilot 확장 by handling request verification, payload parsing, and response formatting automatically. This SDK allows extension builders to focus more on creating core functionality and less on boilerplate code.

3. Build a Copilot 에이전트

Using the reference material from the previous steps, plan and build your Copilot 에이전트. You can choose to implement any of the following options:

• To avoid building and managing your own LLM deployment, your agent can call the Copilot LLM deployment. See Using Copilot's LLM for your agent.
• To quickly interpret user input and choose from a variety of predefined functions to execute, you can implement function calling in your agent. To learn more, see How to use function calling with Azure OpenAI Service in the Azure OpenAI documentation and Function calling in the OpenAI documentation.

4. Deploy your Copilot 에이전트

To make your Copilot 에이전트 accessible to the Copilot platform and GitHub, you need to deploy it to a server that is reachable by HTTP request. See Configuring your server to host your Copilot extension.

5. Create a GitHub App and integrate it with your Copilot 에이전트

To create a Copilot 확장, you need to create and configure a GitHub App, then integrate it with your Copilot 에이전트. See Creating a GitHub App for your Copilot Extension and Configuring your GitHub App for your Copilot extension.

6. Choose the availability of your Copilot 확장

Choose one of two visibility levels for your Copilot 확장:

• Public: Any user or organization account with the installation page link for the extension can install it.
• Private: Only the user or organization account that created the extension can install it.

If you make your Copilot 확장 public, you can then choose to list it on the GitHub Marketplace.

To learn how to change the visibility of your Copilot 확장 and list it on the GitHub Marketplace, see Managing the availability of your Copilot Extension.

Next steps

To learn how to use your Copilot 확장, see Using extensions to integrate external tools with Copilot Chat.