SKILL.md
GitHub Copilot SDK
Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET.
Overview
The GitHub Copilot SDK exposes the same engine behind Copilot CLI: a production-tested agent runtime you can invoke programmatically. No need to build your own orchestration - you define agent behavior, Copilot handles planning, tool invocation, file edits, and more.
Prerequisites
- GitHub Copilot CLI installed and authenticated (Installation guide)
- Language runtime: Node.js 18+, Python 3.8+, Go 1.21+, or .NET 8.0+
Verify CLI: copilot --version
Installation
Node.js/TypeScript
mkdir copilot-demo && cd copilot-demo
npm init -y --init-type module
npm install @github/copilot-sdk tsx
Python
pip install github-copilot-sdk
Go
mkdir copilot-demo && cd copilot-demo
go mod init copilot-demo
go get github.com/github/copilot-sdk/go
.NET
dotnet new console -n CopilotDemo && cd CopilotDemo
dotnet add package GitHub.Copilot.SDK
Quick Start
TypeScript
import { CopilotClient, approveAll } from "@github/copilot-sdk";
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
});
const response = await session.sendAndWait({ prompt: "What is 2 + 2?" });
console.log(response?.data.content);
await client.stop();
process.exit(0);
Run: npx tsx index.ts
Python
import asyncio
from copilot import CopilotClient, PermissionHandler
async def main():
client = CopilotClient()
await client.start()
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"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())
Go
package main
import (
"fmt"
"log"
"os"
copilot "github.com/github/copilot-sdk/go"
)
func main() {
client := copilot.NewClient(nil)
if err := client.Start(); err != nil {
log.Fatal(err)
}
defer client.Stop()
session, err := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
})
if err != nil {
log.Fatal(err)
}
response, err := session.SendAndWait(copilot.MessageOptions{Prompt: "What is 2 + 2?"}, 0)
if err != nil {
log.Fatal(err)
}
fmt.Println(*response.Data.Content)
os.Exit(0)
}
.NET (C#)
using GitHub.Copilot.SDK;
await using var client = new CopilotClient();
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
});
var response = await session.SendAndWaitAsync(new MessageOptions { Prompt = "What is 2 + 2?" });
Console.WriteLine(response?.Data.Content);
Run: dotnet run
Streaming Responses
Enable real-time output for better UX:
TypeScript
import { CopilotClient, approveAll, SessionEvent } from "@github/copilot-sdk";
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
streaming: true,
});
session.on((event: SessionEvent) => {
if (event.type === "assistant.message_delta") {
process.stdout.write(event.data.deltaContent);
}
if (event.type === "session.idle") {
console.log(); // New line when done
}
});
await session.sendAndWait({ prompt: "Tell me a short joke" });
await client.stop();
process.exit(0);
Python
import asyncio
import sys
from copilot import CopilotClient, PermissionHandler
from copilot.generated.session_events import SessionEventType
async def main():
client = CopilotClient()
await client.start()
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
"streaming": True,
})
def handle_event(event):
if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
sys.stdout.write(event.data.delta_content)
sys.stdout.flush()
if event.type == SessionEventType.SESSION_IDLE:
print()
session.on(handle_event)
await session.send_and_wait({"prompt": "Tell me a short joke"})
await client.stop()
asyncio.run(main())
Go
session, err := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
Streaming: true,
})
session.On(func(event copilot.SessionEvent) {
if event.Type == "assistant.message_delta" {
fmt.Print(*event.Data.DeltaContent)
}
if event.Type == "session.idle" {
fmt.Println()
}
})
_, err = session.SendAndWait(copilot.MessageOptions{Prompt: "Tell me a short joke"}, 0)
.NET
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
Streaming = true,
});
session.On(ev =>
{
if (ev is AssistantMessageDeltaEvent deltaEvent)
Console.Write(deltaEvent.Data.DeltaContent);
if (ev is SessionIdleEvent)
Console.WriteLine();
});
await session.SendAndWaitAsync(new MessageOptions { Prompt = "Tell me a short joke" });
Custom Tools
Define tools that Copilot can invoke during reasoning. When you define a tool, you tell Copilot:
- What the tool does (description)
- What parameters it needs (schema)
- What code to run (handler)
TypeScript (JSON Schema)
import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk";
const getWeather = defineTool("get_weather", {
description: "Get the current weather for a city",
parameters: {
type: "object",
properties: {
city: { type: "string", description: "The city name" },
},
required: ["city"],
},
handler: async (args: { city: string }) => {
const { city } = args;
// In a real app, call a weather API here
const conditions = ["sunny", "cloudy", "rainy", "partly cloudy"];
const temp = Math.floor(Math.random() * 30) + 50;
const condition = conditions[Math.floor(Math.random() * conditions.length)];
return { city, temperature: `${temp}°F`, condition };
},
});
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
streaming: true,
tools: [getWeather],
});
session.on((event: SessionEvent) => {
if (event.type === "assistant.message_delta") {
process.stdout.write(event.data.deltaContent);
}
});
await session.sendAndWait({
prompt: "What's the weather like in Seattle and Tokyo?",
});
await client.stop();
process.exit(0);
Python (Pydantic)
import asyncio
import random
import sys
from copilot import CopilotClient, PermissionHandler
from copilot.tools import define_tool
from copilot.generated.session_events import SessionEventType
from pydantic import BaseModel, Field
class GetWeatherParams(BaseModel):
city: str = Field(description="The name of the city to get weather for")
@define_tool(description="Get the current weather for a city")
async def get_weather(params: GetWeatherParams) -> dict:
city = params.city
conditions = ["sunny", "cloudy", "rainy", "partly cloudy"]
temp = random.randint(50, 80)
condition = random.choice(conditions)
return {"city": city, "temperature": f"{temp}°F", "condition": condition}
async def main():
client = CopilotClient()
await client.start()
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
"streaming": True,
"tools": [get_weather],
})
def handle_event(event):
if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
sys.stdout.write(event.data.delta_content)
sys.stdout.flush()
session.on(handle_event)
await session.send_and_wait({
"prompt": "What's the weather like in Seattle and Tokyo?"
})
await client.stop()
asyncio.run(main())
Go
type WeatherParams struct {
City string `json:"city" jsonschema:"The city name"`
}
type WeatherResult struct {
City string `json:"city"`
Temperature string `json:"temperature"`
Condition string `json:"condition"`
}
getWeather := copilot.DefineTool(
"get_weather",
"Get the current weather for a city",
func(params WeatherParams, inv copilot.ToolInvocation) (WeatherResult, error) {
conditions := []string{"sunny", "cloudy", "rainy", "partly cloudy"}
temp := rand.Intn(30) + 50
condition := conditions[rand.Intn(len(conditions))]
return WeatherResult{
City: params.City,
Temperature: fmt.Sprintf("%d°F", temp),
Condition: condition,
}, nil
},
)
session, _ := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
Streaming: true,
Tools: []copilot.Tool{getWeather},
})
.NET (Microsoft.Extensions.AI)
using GitHub.Copilot.SDK;
using Microsoft.Extensions.AI;
using System.ComponentModel;
var getWeather = AIFunctionFactory.Create(
([Description("The city name")] string city) =>
{
var conditions = new[] { "sunny", "cloudy", "rainy", "partly cloudy" };
var temp = Random.Shared.Next(50, 80);
var condition = conditions[Random.Shared.Next(conditions.Length)];
return new { city, temperature = $"{temp}°F", condition };
},
"get_weather",
"Get the current weather for a city"
);
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
Streaming = true,
Tools = [getWeather],
});
How Tools Work
When Copilot decides to call your tool:
- Copilot sends a tool call request with the parameters
- The SDK runs your handler function
- The result is sent back to Copilot
- Copilot incorporates the result into its response
Copilot decides when to call your tool based on the user's question and your tool's description.
Interactive CLI Assistant
Build a complete interactive assistant:
TypeScript
import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk";
import * as readline from "readline";
const getWeather = defineTool("get_weather", {
description: "Get the current weather for a city",
parameters: {
type: "object",
properties: {
city: { type: "string", description: "The city name" },
},
required: ["city"],
},
handler: async ({ city }) => {
const conditions = ["sunny", "cloudy", "rainy", "partly cloudy"];
const temp = Math.floor(Math.random() * 30) + 50;
const condition = conditions[Math.floor(Math.random() * conditions.length)];
return { city, temperature: `${temp}°F`, condition };
},
});
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
streaming: true,
tools: [getWeather],
});
session.on((event: SessionEvent) => {
if (event.type === "assistant.message_delta") {
process.stdout.write(event.data.deltaContent);
}
});
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
console.log("Weather Assistant (type 'exit' to quit)");
console.log("Try: 'What's the weather in Paris?'\n");
const prompt = () => {
rl.question("You: ", async (input) => {
if (input.toLowerCase() === "exit") {
await client.stop();
rl.close();
return;
}
process.stdout.write("Assistant: ");
await session.sendAndWait({ prompt: input });
console.log("\n");
prompt();
});
};
prompt();
Python
import asyncio
import random
import sys
from copilot import CopilotClient, PermissionHandler
from copilot.tools import define_tool
from copilot.generated.session_events import SessionEventType
from pydantic import BaseModel, Field
class GetWeatherParams(BaseModel):
city: str = Field(description="The name of the city to get weather for")
@define_tool(description="Get the current weather for a city")
async def get_weather(params: GetWeatherParams) -> dict:
conditions = ["sunny", "cloudy", "rainy", "partly cloudy"]
temp = random.randint(50, 80)
condition = random.choice(conditions)
return {"city": params.city, "temperature": f"{temp}°F", "condition": condition}
async def main():
client = CopilotClient()
await client.start()
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
"streaming": True,
"tools": [get_weather],
})
def handle_event(event):
if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
sys.stdout.write(event.data.delta_content)
sys.stdout.flush()
session.on(handle_event)
print("Weather Assistant (type 'exit' to quit)")
print("Try: 'What's the weather in Paris?'\n")
while True:
try:
user_input = input("You: ")
except EOFError:
break
if user_input.lower() == "exit":
break
sys.stdout.write("Assistant: ")
await session.send_and_wait({"prompt": user_input})
print("\n")
await client.stop()
asyncio.run(main())
MCP Server Integration
Connect to MCP (Model Context Protocol) servers for pre-built tools. Connect to GitHub's MCP server for repository, issue, and PR access:
TypeScript
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
mcpServers: {
github: {
type: "http",
url: "https://api.githubcopilot.com/mcp/",
},
},
});
Python
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
"mcp_servers": {
"github": {
"type": "http",
"url": "https://api.githubcopilot.com/mcp/",
},
},
})
Go
session, _ := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
MCPServers: map[string]copilot.MCPServerConfig{
"github": {
"type": "http",
"url": "https://api.githubcopilot.com/mcp/",
},
},
})
.NET
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
McpServers = new Dictionary<string, McpServerConfig>
{
["github"] = new McpServerConfig
{
Type = "http",
Url = "https://api.githubcopilot.com/mcp/",
},
},
});
Custom Agents
Define specialized AI personas for specific tasks:
TypeScript
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
customAgents: [{
name: "pr-reviewer",
displayName: "PR Reviewer",
description: "Reviews pull requests for best practices",
prompt: "You are an expert code reviewer. Focus on security, performance, and maintainability.",
}],
});
Python
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
"custom_agents": [{
"name": "pr-reviewer",
"display_name": "PR Reviewer",
"description": "Reviews pull requests for best practices",
"prompt": "You are an expert code reviewer. Focus on security, performance, and maintainability.",
}],
})
System Message
Customize the AI's behavior and personality:
TypeScript
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
systemMessage: {
content: "You are a helpful assistant for our engineering team. Always be concise.",
},
});
Python
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
"system_message": {
"content": "You are a helpful assistant for our engineering team. Always be concise.",
},
})
External CLI Server
Run the CLI in server mode separately and connect the SDK to it. Useful for debugging, resource sharing, or custom environments.
Start CLI in Server Mode
copilot --server --port 4321
Connect SDK to External Server
#### TypeScript
const client = new CopilotClient({
cliUrl: "localhost:4321"
});
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
});
#### Python
client = CopilotClient({
"cli_url": "localhost:4321"
})
await client.start()
session = await client.create_session({
"on_permission_request": PermissionHandler.approve_all,
"model": "gpt-4.1",
})
#### Go
client := copilot.NewClient(&copilot.ClientOptions{
CLIUrl: "localhost:4321",
})
if err := client.Start(); err != nil {
log.Fatal(err)
}
session, _ := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
})
#### .NET
using var client = new CopilotClient(new CopilotClientOptions
{
CliUrl = "localhost:4321"
});
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
});
Note: When cliUrl is provided, the SDK will not spawn or manage a CLI process - it only connects to the existing server.
Event Types
Event
Description
user.message
User input added
assistant.message
Complete model response
assistant.message_delta
Streaming response chunk
assistant.reasoning
Model reasoning (model-dependent)
assistant.reasoning_delta
Streaming reasoning chunk
tool.execution_start
Tool invocation started
tool.execution_complete
Tool execution finished
session.idle
No active processing
session.error
Error occurred
Client Configuration
Option
Description
Default
cliPath
Path to Copilot CLI executable
System PATH
cliUrl
Connect to existing server (e.g., "localhost:4321")
None
port
Server communication port
Random
useStdio
Use stdio transport instead of TCP
true
logLevel
Logging verbosity
"info"
autoStart
Launch server automatically
true
autoRestart
Restart on crashes
true
cwd
Working directory for CLI process
Inherited
Session Configuration
Option
Description
model
LLM to use ("gpt-4.1", "claude-sonnet-4.5", etc.)
sessionId
Custom session identifier
tools
Custom tool definitions
mcpServers
MCP server connections
customAgents
Custom agent personas
systemMessage
Override default system prompt
streaming
Enable incremental response chunks
availableTools
Whitelist of permitted tools
excludedTools
Blacklist of disabled tools
Session Persistence
Save and resume conversations across restarts:
Create with Custom ID
const session = await client.createSession({
onPermissionRequest: approveAll,
sessionId: "user-123-conversation",
model: "gpt-4.1"
});
Resume Session
const session = await client.resumeSession("user-123-conversation", { onPermissionRequest: approveAll });
await session.send({ prompt: "What did we discuss earlier?" });
List and Delete Sessions
const sessions = await client.listSessions();
await client.deleteSession("old-session-id");
Error Handling
try {
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
});
const response = await session.sendAndWait(
{ prompt: "Hello!" },
30000 // timeout in ms
);
} catch (error) {
if (error.code === "ENOENT") {
console.error("Copilot CLI not installed");
} else if (error.code === "ECONNREFUSED") {
console.error("Cannot connect to Copilot server");
} else {
console.error("Error:", error.message);
}
} finally {
await client.stop();
}
Graceful Shutdown
process.on("SIGINT", async () => {
console.log("Shutting down...");
await client.stop();
process.exit(0);
});
Common Patterns
Multi-turn Conversation
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
});
await session.sendAndWait({ prompt: "My name is Alice" });
await session.sendAndWait({ prompt: "What's my name?" });
// Response: "Your name is Alice"
File Attachments
await session.send({
prompt: "Analyze this file",
attachments: [{
type: "file",
path: "./data.csv",
displayName: "Sales Data"
}]
});
Abort Long Operations
const timeoutId = setTimeout(() => {
session.abort();
}, 60000);
session.on((event) => {
if (event.type === "session.idle") {
clearTimeout(timeoutId);
}
});
Available Models
Query available models at runtime:
const models = await client.getModels();
// Returns: ["gpt-4.1", "gpt-4o", "claude-sonnet-4.5", ...]
Best Practices
- Always cleanup: Use
try-finallyordeferto ensureclient.stop()is called
- Set timeouts: Use
sendAndWaitwith timeout for long operations
- Handle events: Subscribe to error events for robust error handling
- Use streaming: Enable streaming for better UX on long responses
- Persist sessions: Use custom session IDs for multi-turn conversations
- Define clear tools: Write descriptive tool names and descriptions
Architecture
Your Application
|
SDK Client
| JSON-RPC
Copilot CLI (server mode)
|
GitHub (models, auth)
The SDK manages the CLI process lifecycle automatically. All communication happens via JSON-RPC over stdio or TCP.
Resources
- GitHub Repository: https://github.com/github/copilot-sdk
- Getting Started Tutorial: https://github.com/github/copilot-sdk/blob/main/docs/tutorials/first-app.md
- GitHub MCP Server: https://github.com/github/github-mcp-server
- MCP Servers Directory: https://github.com/modelcontextprotocol/servers
Status
This SDK is in Technical Preview and may have breaking changes. Not recommended for production use yet.