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github-copilot-sdk

github-copilot-sdk

github.com/rysweetDevelopment76130 installsUpdated 21w ago
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About github-copilot-sdk

github-copilot-sdk is a skill for developers embedding GitHub Copilot’s agent runtime in applications. It covers sessions, custom tools, streaming, and MCP server connections across four language SDKs.

Key features

  1. 01SDK usage in four languages
  2. 02Session and conversation management
  3. 03Custom tool definitions
  4. 04Streaming response events
  5. 05MCP server connections

Use cases

  1. 01Embedding Copilot in an application
  2. 02Building a tool-using assistant
  3. 03Streaming responses in a custom UI
  4. 04Connecting Copilot to MCP tools

MCP support

The skill describes configuring sessions to connect to MCP servers, allowing Copilot to use their tools.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/rysweet/amplihack --skill github-copilot-sdk

After installing, type/github-copilot-sdkin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

README.md
drift-detection.md
examples.md
patterns.md
reference.md
examples/
goal-seeking-agent-python.py
goal-seeking-agent-typescript.ts
scripts/
check_drift.py

Details

From the project README

GitHub Copilot SDK - Comprehensive Skill

Overview

The GitHub Copilot SDK enables developers to embed Copilot's agentic workflows programmatically in their applications. It exposes the same engine behind Copilot CLI as a production-tested agent runtime you can invoke from code.

When to Use the Copilot SDK

Use the Copilot SDK when:

  • Building applications that need Copilot's AI capabilities
  • Implementing custom AI assistants with tool-calling abilities
  • Creating integrations that leverage Copilot's code understanding
  • Connecting to MCP (Model Context Protocol) servers for standardized tools
  • Need streaming responses in custom UIs

Don't use when:

  • GitHub Copilot CLI is sufficient (use CLI directly)
  • No programmatic integration needed (use Copilot in VS Code)
  • Building simple chat without tools (use standard LLM API)
Language Support
SDKInstallation
Node.js/TypeScriptnpm install @github/copilot-sdk
Pythonpip install github-copilot-sdk
Gogo get github.com/github/copilot-sdk/go
.NETdotnet add package GitHub.Copilot.SDK
Prerequisites
  1. GitHub Copilot CLI installed and authenticated
  2. Active Copilot subscription (free tier available with limits)

Quick Start

Minimal Example (TypeScript)
import { CopilotClient } from "@github/copilot-sdk";

const client = new CopilotClient();
const session = await client.createSession({ model: "gpt-4.1" });

const response = await session.sendAndWait({ prompt: "What is 2 + 2?" });
console.log(response?.data.content);

await client.stop();
Minimal Example (Python)
import asyncio
from copilot import CopilotClient

async def main():
    client = CopilotClient()
    await client.start()
    session = await client.create_session({"model": "gpt-4.1"})
    response = await session.send_and_wait({"prompt": "What is 2 + 2?"})
    print(response.data.content)
    await client.stop()

asyncio.run(main())
Add Streaming
const session = await client.createSession({
  model: "gpt-4.1",
  streaming: true,
});

session.on((event) => {
  if (event.type === "assistant.message_delta") {
    process.stdout.write(event.data.deltaContent);
  }
});

await session.sendAndWait({ prompt: "Tell me a joke" });
Add Custom Tool
import { defineTool } from "@github/copilot-sdk";

const getWeather = defineTool("get_weather", {
  description: "Get weather for a city",
  parameters: {
    type: "object",
    properties: {
      city: { type: "string", description: "City name" },
    },
    required: ["city"],
  },
  handler: async ({ city }) => ({
    city,
    temperature: `${Math.floor(Math.random() * 30) + 50}°F`,
    condition: "sunny",
  }),
});

const session = await client.createSession({
  model: "gpt-4.1",
  tools: [getWeather],
});

Core Concepts

Architecture
Your Application → SDK Client → JSON-RPC → Copilot CLI (server mode)

The SDK manages the CLI process lifecycle automatically or connects to an external CLI server.

Key Components
  1. CopilotClient: Entry point - manages connection to Copilot CLI
  2. Session: Conversation context with model, tools, and history
  3. Tools: Custom functions Copilot can invoke
  4. Events: Streaming responses and tool call notifications
  5. MCP Integration: Connect to Model Context Protocol servers
Session Configuration
const session = await client.createSession({
  model: "gpt-4.1", // Model to use
  streaming: true, // Enable streaming
  tools: [myTool], // Custom tools
  mcpServers: {
    // MCP server connections
    github: {
      type: "http",
      url: "https://api.githubcopilot.com/mcp/",
    },
  },
  systemMessage: {
    // Custom system prompt
    content: "You are a helpful assistant.",
  },
  customAgents: [
    {
      // Custom agent personas
      name: "code-reviewer",
      displayName: "Code Reviewer",
      description: "Reviews code for best practices",
      prompt: "Focus on security and performance.",
    },
  ],
});

Navigation Guide

When to Read Supporting Files

reference.md - Read when you need:

  • Complete API reference for all 4 languages
  • All method signatures with parameters and return types
  • Session configuration options
  • Event types and handling
  • External CLI server connection

examples.md - Read when you need:

  • Working copy-paste code for all 4 languages
  • Error handling patterns
  • Multiple sessions management
  • Interactive assistant implementation
  • Custom agent definition examples

patterns.md - Read when you need:

  • Production-ready architectural patterns
  • Streaming UI integration
  • MCP server integration patterns
  • Rate limiting and retry patterns
  • Structured output extraction

drift-detection.md - Read when you need:

  • Understanding how this skill stays current
  • Validation workflow
  • Update procedures

Quick Reference

Common Event Types
Event Type (TS/Go)Python Enum
assistant.message_deltaSessionEventType.ASSISTANT_MESSAGE_DELTA
session.idleSessionEventType.SESSION_IDLE
tool.invocationSessionEventType.TOOL_EXECUTION_START
tool.resultSessionEventType.TOOL_EXECUTION_COMPLETE

Python: Import from copilot.generated.session_events import SessionEventType

Default Tools

The SDK operates in --allow-all mode by default, enabling:

  • File system operations
  • Git operations
  • Web requests
  • All first-party Copilot tools

Integration with Amplihack

Use the Copilot SDK to build custom agents within amplihack:

# Create Copilot-powered agent for specific domain
from copilot import CopilotClient

async def create_code_review_agent():
    client = CopilotClient()
    await client.start()
    session = await client.create_session({
        "model": "gpt-4.1",
        "streaming": True,
        "systemMessage": {
            "content": "You are an expert code reviewer."
        }
    })
    return session

Next Steps

  1. Start Simple: Basic send/receive with default model
  2. Add Streaming: Real-time responses for better UX
  3. Add Tools: Custom functions for your domain
  4. Connect MCP: Use GitHub MCP server for repo access
  5. Build UI: Integrate into your application

For complete API details, see reference.md. For working code in all languages, see examples.md. For production patterns, see patterns.md.

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