copilot-sdk — for Claude Code copilot-sdk, community, for Claude Code, ide skills, argocd, cloud-native, developer-tool, docker, github-copilot, gitops

v1.0.0

Об этом навыке

Подходящий сценарий: Ideal for AI agents that need github copilot sdk. Локализованное описание: All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. It covers argocd, chat, cli workflows. This AI agent skill supports Claude Code, Cursor, and

Возможности

GitHub Copilot SDK
Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET.
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

# Core Topics

devantler-tech devantler-tech
[143]
[8]
Updated: 4/19/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
65
Canonical Locale
en
Detected Body Locale
en

Подходящий сценарий: Ideal for AI agents that need github copilot sdk. Локализованное описание: All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. It covers argocd, chat, cli workflows. This AI agent skill supports Claude Code, Cursor, and

Зачем использовать этот навык

Рекомендация: copilot-sdk helps agents github copilot sdk. All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant

Подходит лучше всего

Подходящий сценарий: Ideal for AI agents that need github copilot sdk.

Реализуемые кейсы использования for copilot-sdk

Сценарий использования: Applying GitHub Copilot SDK
Сценарий использования: Applying Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET
Сценарий использования: Applying GitHub Copilot CLI installed and authenticated (Installation guide)

! Безопасность и ограничения

  • Ограничение: Requires repository-specific context from the skill documentation
  • Ограничение: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is copilot-sdk?

Подходящий сценарий: Ideal for AI agents that need github copilot sdk. Локализованное описание: All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. It covers argocd, chat, cli workflows. This AI agent skill supports Claude Code, Cursor, and

How do I install copilot-sdk?

Run the command: npx killer-skills add devantler-tech/ksail/copilot-sdk. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for copilot-sdk?

Key use cases include: Сценарий использования: Applying GitHub Copilot SDK, Сценарий использования: Applying Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET, Сценарий использования: Applying GitHub Copilot CLI installed and authenticated (Installation guide).

Which IDEs are compatible with copilot-sdk?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for copilot-sdk?

Ограничение: Requires repository-specific context from the skill documentation. Ограничение: Works best when the underlying tools and dependencies are already configured.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add devantler-tech/ksail/copilot-sdk. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use copilot-sdk immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

copilot-sdk

Install copilot-sdk, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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

  1. GitHub Copilot CLI installed and authenticated (Installation guide)
  2. Language runtime: Node.js 18+, Python 3.8+, Go 1.21+, or .NET 8.0+

Verify CLI: copilot --version

Installation

Node.js/TypeScript

bash
1mkdir copilot-demo && cd copilot-demo 2npm init -y --init-type module 3npm install @github/copilot-sdk tsx

Python

bash
1pip install github-copilot-sdk

Go

bash
1mkdir copilot-demo && cd copilot-demo 2go mod init copilot-demo 3go get github.com/github/copilot-sdk/go

.NET

bash
1dotnet new console -n CopilotDemo && cd CopilotDemo 2dotnet add package GitHub.Copilot.SDK

Quick Start

TypeScript

typescript
1import { CopilotClient, approveAll } from "@github/copilot-sdk"; 2 3const client = new CopilotClient(); 4const session = await client.createSession({ 5 onPermissionRequest: approveAll, 6 model: "gpt-4.1", 7}); 8 9const response = await session.sendAndWait({ prompt: "What is 2 + 2?" }); 10console.log(response?.data.content); 11 12await client.stop(); 13process.exit(0);

Run: npx tsx index.ts

Python

python
1import asyncio 2from copilot import CopilotClient, PermissionHandler 3 4async def main(): 5 client = CopilotClient() 6 await client.start() 7 8 session = await client.create_session({ 9 "on_permission_request": PermissionHandler.approve_all, 10 "model": "gpt-4.1", 11 }) 12 response = await session.send_and_wait({"prompt": "What is 2 + 2?"}) 13 14 print(response.data.content) 15 await client.stop() 16 17asyncio.run(main())

Go

go
1package main 2 3import ( 4 "fmt" 5 "log" 6 "os" 7 copilot "github.com/github/copilot-sdk/go" 8) 9 10func main() { 11 client := copilot.NewClient(nil) 12 if err := client.Start(); err != nil { 13 log.Fatal(err) 14 } 15 defer client.Stop() 16 17 session, err := client.CreateSession(&copilot.SessionConfig{ 18 OnPermissionRequest: copilot.PermissionHandler.ApproveAll, 19 Model: "gpt-4.1", 20 }) 21 if err != nil { 22 log.Fatal(err) 23 } 24 25 response, err := session.SendAndWait(copilot.MessageOptions{Prompt: "What is 2 + 2?"}, 0) 26 if err != nil { 27 log.Fatal(err) 28 } 29 30 fmt.Println(*response.Data.Content) 31 os.Exit(0) 32}

.NET (C#)

csharp
1using GitHub.Copilot.SDK; 2 3await using var client = new CopilotClient(); 4await using var session = await client.CreateSessionAsync(new SessionConfig 5{ 6 OnPermissionRequest = PermissionHandler.ApproveAll, 7 Model = "gpt-4.1", 8}); 9 10var response = await session.SendAndWaitAsync(new MessageOptions { Prompt = "What is 2 + 2?" }); 11Console.WriteLine(response?.Data.Content);

Run: dotnet run

Streaming Responses

Enable real-time output for better UX:

TypeScript

typescript
1import { CopilotClient, approveAll, SessionEvent } from "@github/copilot-sdk"; 2 3const client = new CopilotClient(); 4const session = await client.createSession({ 5 onPermissionRequest: approveAll, 6 model: "gpt-4.1", 7 streaming: true, 8}); 9 10session.on((event: SessionEvent) => { 11 if (event.type === "assistant.message_delta") { 12 process.stdout.write(event.data.deltaContent); 13 } 14 if (event.type === "session.idle") { 15 console.log(); // New line when done 16 } 17}); 18 19await session.sendAndWait({ prompt: "Tell me a short joke" }); 20 21await client.stop(); 22process.exit(0);

Python

python
1import asyncio 2import sys 3from copilot import CopilotClient, PermissionHandler 4from copilot.generated.session_events import SessionEventType 5 6async def main(): 7 client = CopilotClient() 8 await client.start() 9 10 session = await client.create_session({ 11 "on_permission_request": PermissionHandler.approve_all, 12 "model": "gpt-4.1", 13 "streaming": True, 14 }) 15 16 def handle_event(event): 17 if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA: 18 sys.stdout.write(event.data.delta_content) 19 sys.stdout.flush() 20 if event.type == SessionEventType.SESSION_IDLE: 21 print() 22 23 session.on(handle_event) 24 await session.send_and_wait({"prompt": "Tell me a short joke"}) 25 await client.stop() 26 27asyncio.run(main())

Go

go
1session, err := client.CreateSession(&copilot.SessionConfig{ 2 OnPermissionRequest: copilot.PermissionHandler.ApproveAll, 3 Model: "gpt-4.1", 4 Streaming: true, 5}) 6 7session.On(func(event copilot.SessionEvent) { 8 if event.Type == "assistant.message_delta" { 9 fmt.Print(*event.Data.DeltaContent) 10 } 11 if event.Type == "session.idle" { 12 fmt.Println() 13 } 14}) 15 16_, err = session.SendAndWait(copilot.MessageOptions{Prompt: "Tell me a short joke"}, 0)

.NET

csharp
1await using var session = await client.CreateSessionAsync(new SessionConfig 2{ 3 OnPermissionRequest = PermissionHandler.ApproveAll, 4 Model = "gpt-4.1", 5 Streaming = true, 6}); 7 8session.On(ev => 9{ 10 if (ev is AssistantMessageDeltaEvent deltaEvent) 11 Console.Write(deltaEvent.Data.DeltaContent); 12 if (ev is SessionIdleEvent) 13 Console.WriteLine(); 14}); 15 16await 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:

  1. What the tool does (description)
  2. What parameters it needs (schema)
  3. What code to run (handler)

TypeScript (JSON Schema)

typescript
1import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk"; 2 3const getWeather = defineTool("get_weather", { 4 description: "Get the current weather for a city", 5 parameters: { 6 type: "object", 7 properties: { 8 city: { type: "string", description: "The city name" }, 9 }, 10 required: ["city"], 11 }, 12 handler: async (args: { city: string }) => { 13 const { city } = args; 14 // In a real app, call a weather API here 15 const conditions = ["sunny", "cloudy", "rainy", "partly cloudy"]; 16 const temp = Math.floor(Math.random() * 30) + 50; 17 const condition = conditions[Math.floor(Math.random() * conditions.length)]; 18 return { city, temperature: `${temp}°F`, condition }; 19 }, 20}); 21 22const client = new CopilotClient(); 23const session = await client.createSession({ 24 onPermissionRequest: approveAll, 25 model: "gpt-4.1", 26 streaming: true, 27 tools: [getWeather], 28}); 29 30session.on((event: SessionEvent) => { 31 if (event.type === "assistant.message_delta") { 32 process.stdout.write(event.data.deltaContent); 33 } 34}); 35 36await session.sendAndWait({ 37 prompt: "What's the weather like in Seattle and Tokyo?", 38}); 39 40await client.stop(); 41process.exit(0);

Python (Pydantic)

python
1import asyncio 2import random 3import sys 4from copilot import CopilotClient, PermissionHandler 5from copilot.tools import define_tool 6from copilot.generated.session_events import SessionEventType 7from pydantic import BaseModel, Field 8 9class GetWeatherParams(BaseModel): 10 city: str = Field(description="The name of the city to get weather for") 11 12@define_tool(description="Get the current weather for a city") 13async def get_weather(params: GetWeatherParams) -> dict: 14 city = params.city 15 conditions = ["sunny", "cloudy", "rainy", "partly cloudy"] 16 temp = random.randint(50, 80) 17 condition = random.choice(conditions) 18 return {"city": city, "temperature": f"{temp}°F", "condition": condition} 19 20async def main(): 21 client = CopilotClient() 22 await client.start() 23 24 session = await client.create_session({ 25 "on_permission_request": PermissionHandler.approve_all, 26 "model": "gpt-4.1", 27 "streaming": True, 28 "tools": [get_weather], 29 }) 30 31 def handle_event(event): 32 if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA: 33 sys.stdout.write(event.data.delta_content) 34 sys.stdout.flush() 35 36 session.on(handle_event) 37 38 await session.send_and_wait({ 39 "prompt": "What's the weather like in Seattle and Tokyo?" 40 }) 41 42 await client.stop() 43 44asyncio.run(main())

Go

go
1type WeatherParams struct { 2 City string `json:"city" jsonschema:"The city name"` 3} 4 5type WeatherResult struct { 6 City string `json:"city"` 7 Temperature string `json:"temperature"` 8 Condition string `json:"condition"` 9} 10 11getWeather := copilot.DefineTool( 12 "get_weather", 13 "Get the current weather for a city", 14 func(params WeatherParams, inv copilot.ToolInvocation) (WeatherResult, error) { 15 conditions := []string{"sunny", "cloudy", "rainy", "partly cloudy"} 16 temp := rand.Intn(30) + 50 17 condition := conditions[rand.Intn(len(conditions))] 18 return WeatherResult{ 19 City: params.City, 20 Temperature: fmt.Sprintf("%d°F", temp), 21 Condition: condition, 22 }, nil 23 }, 24) 25 26session, _ := client.CreateSession(&copilot.SessionConfig{ 27 OnPermissionRequest: copilot.PermissionHandler.ApproveAll, 28 Model: "gpt-4.1", 29 Streaming: true, 30 Tools: []copilot.Tool{getWeather}, 31})

.NET (Microsoft.Extensions.AI)

csharp
1using GitHub.Copilot.SDK; 2using Microsoft.Extensions.AI; 3using System.ComponentModel; 4 5var getWeather = AIFunctionFactory.Create( 6 ([Description("The city name")] string city) => 7 { 8 var conditions = new[] { "sunny", "cloudy", "rainy", "partly cloudy" }; 9 var temp = Random.Shared.Next(50, 80); 10 var condition = conditions[Random.Shared.Next(conditions.Length)]; 11 return new { city, temperature = $"{temp}°F", condition }; 12 }, 13 "get_weather", 14 "Get the current weather for a city" 15); 16 17await using var session = await client.CreateSessionAsync(new SessionConfig 18{ 19 OnPermissionRequest = PermissionHandler.ApproveAll, 20 Model = "gpt-4.1", 21 Streaming = true, 22 Tools = [getWeather], 23});

How Tools Work

When Copilot decides to call your tool:

  1. Copilot sends a tool call request with the parameters
  2. The SDK runs your handler function
  3. The result is sent back to Copilot
  4. 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

typescript
1import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk"; 2import * as readline from "readline"; 3 4const getWeather = defineTool("get_weather", { 5 description: "Get the current weather for a city", 6 parameters: { 7 type: "object", 8 properties: { 9 city: { type: "string", description: "The city name" }, 10 }, 11 required: ["city"], 12 }, 13 handler: async ({ city }) => { 14 const conditions = ["sunny", "cloudy", "rainy", "partly cloudy"]; 15 const temp = Math.floor(Math.random() * 30) + 50; 16 const condition = conditions[Math.floor(Math.random() * conditions.length)]; 17 return { city, temperature: `${temp}°F`, condition }; 18 }, 19}); 20 21const client = new CopilotClient(); 22const session = await client.createSession({ 23 onPermissionRequest: approveAll, 24 model: "gpt-4.1", 25 streaming: true, 26 tools: [getWeather], 27}); 28 29session.on((event: SessionEvent) => { 30 if (event.type === "assistant.message_delta") { 31 process.stdout.write(event.data.deltaContent); 32 } 33}); 34 35const rl = readline.createInterface({ 36 input: process.stdin, 37 output: process.stdout, 38}); 39 40console.log("Weather Assistant (type 'exit' to quit)"); 41console.log("Try: 'What's the weather in Paris?'\n"); 42 43const prompt = () => { 44 rl.question("You: ", async (input) => { 45 if (input.toLowerCase() === "exit") { 46 await client.stop(); 47 rl.close(); 48 return; 49 } 50 51 process.stdout.write("Assistant: "); 52 await session.sendAndWait({ prompt: input }); 53 console.log("\n"); 54 prompt(); 55 }); 56}; 57 58prompt();

Python

python
1import asyncio 2import random 3import sys 4from copilot import CopilotClient, PermissionHandler 5from copilot.tools import define_tool 6from copilot.generated.session_events import SessionEventType 7from pydantic import BaseModel, Field 8 9class GetWeatherParams(BaseModel): 10 city: str = Field(description="The name of the city to get weather for") 11 12@define_tool(description="Get the current weather for a city") 13async def get_weather(params: GetWeatherParams) -> dict: 14 conditions = ["sunny", "cloudy", "rainy", "partly cloudy"] 15 temp = random.randint(50, 80) 16 condition = random.choice(conditions) 17 return {"city": params.city, "temperature": f"{temp}°F", "condition": condition} 18 19async def main(): 20 client = CopilotClient() 21 await client.start() 22 23 session = await client.create_session({ 24 "on_permission_request": PermissionHandler.approve_all, 25 "model": "gpt-4.1", 26 "streaming": True, 27 "tools": [get_weather], 28 }) 29 30 def handle_event(event): 31 if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA: 32 sys.stdout.write(event.data.delta_content) 33 sys.stdout.flush() 34 35 session.on(handle_event) 36 37 print("Weather Assistant (type 'exit' to quit)") 38 print("Try: 'What's the weather in Paris?'\n") 39 40 while True: 41 try: 42 user_input = input("You: ") 43 except EOFError: 44 break 45 46 if user_input.lower() == "exit": 47 break 48 49 sys.stdout.write("Assistant: ") 50 await session.send_and_wait({"prompt": user_input}) 51 print("\n") 52 53 await client.stop() 54 55asyncio.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

typescript
1const session = await client.createSession({ 2 onPermissionRequest: approveAll, 3 model: "gpt-4.1", 4 mcpServers: { 5 github: { 6 type: "http", 7 url: "https://api.githubcopilot.com/mcp/", 8 }, 9 }, 10});

Python

python
1session = await client.create_session({ 2 "on_permission_request": PermissionHandler.approve_all, 3 "model": "gpt-4.1", 4 "mcp_servers": { 5 "github": { 6 "type": "http", 7 "url": "https://api.githubcopilot.com/mcp/", 8 }, 9 }, 10})

Go

go
1session, _ := client.CreateSession(&copilot.SessionConfig{ 2 OnPermissionRequest: copilot.PermissionHandler.ApproveAll, 3 Model: "gpt-4.1", 4 MCPServers: map[string]copilot.MCPServerConfig{ 5 "github": { 6 "type": "http", 7 "url": "https://api.githubcopilot.com/mcp/", 8 }, 9 }, 10})

.NET

csharp
1await using var session = await client.CreateSessionAsync(new SessionConfig 2{ 3 OnPermissionRequest = PermissionHandler.ApproveAll, 4 Model = "gpt-4.1", 5 McpServers = new Dictionary<string, McpServerConfig> 6 { 7 ["github"] = new McpServerConfig 8 { 9 Type = "http", 10 Url = "https://api.githubcopilot.com/mcp/", 11 }, 12 }, 13});

Custom Agents

Define specialized AI personas for specific tasks:

TypeScript

typescript
1const session = await client.createSession({ 2 onPermissionRequest: approveAll, 3 model: "gpt-4.1", 4 customAgents: [{ 5 name: "pr-reviewer", 6 displayName: "PR Reviewer", 7 description: "Reviews pull requests for best practices", 8 prompt: "You are an expert code reviewer. Focus on security, performance, and maintainability.", 9 }], 10});

Python

python
1session = await client.create_session({ 2 "on_permission_request": PermissionHandler.approve_all, 3 "model": "gpt-4.1", 4 "custom_agents": [{ 5 "name": "pr-reviewer", 6 "display_name": "PR Reviewer", 7 "description": "Reviews pull requests for best practices", 8 "prompt": "You are an expert code reviewer. Focus on security, performance, and maintainability.", 9 }], 10})

System Message

Customize the AI's behavior and personality:

TypeScript

typescript
1const session = await client.createSession({ 2 onPermissionRequest: approveAll, 3 model: "gpt-4.1", 4 systemMessage: { 5 content: "You are a helpful assistant for our engineering team. Always be concise.", 6 }, 7});

Python

python
1session = await client.create_session({ 2 "on_permission_request": PermissionHandler.approve_all, 3 "model": "gpt-4.1", 4 "system_message": { 5 "content": "You are a helpful assistant for our engineering team. Always be concise.", 6 }, 7})

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

bash
1copilot --server --port 4321

Connect SDK to External Server

TypeScript

typescript
1const client = new CopilotClient({ 2 cliUrl: "localhost:4321" 3}); 4 5const session = await client.createSession({ 6 onPermissionRequest: approveAll, 7 model: "gpt-4.1", 8});

Python

python
1client = CopilotClient({ 2 "cli_url": "localhost:4321" 3}) 4await client.start() 5 6session = await client.create_session({ 7 "on_permission_request": PermissionHandler.approve_all, 8 "model": "gpt-4.1", 9})

Go

go
1client := copilot.NewClient(&copilot.ClientOptions{ 2 CLIUrl: "localhost:4321", 3}) 4 5if err := client.Start(); err != nil { 6 log.Fatal(err) 7} 8 9session, _ := client.CreateSession(&copilot.SessionConfig{ 10 OnPermissionRequest: copilot.PermissionHandler.ApproveAll, 11 Model: "gpt-4.1", 12})

.NET

csharp
1using var client = new CopilotClient(new CopilotClientOptions 2{ 3 CliUrl = "localhost:4321" 4}); 5 6await using var session = await client.CreateSessionAsync(new SessionConfig 7{ 8 OnPermissionRequest = PermissionHandler.ApproveAll, 9 Model = "gpt-4.1", 10});

Note: When cliUrl is provided, the SDK will not spawn or manage a CLI process - it only connects to the existing server.

Event Types

EventDescription
user.messageUser input added
assistant.messageComplete model response
assistant.message_deltaStreaming response chunk
assistant.reasoningModel reasoning (model-dependent)
assistant.reasoning_deltaStreaming reasoning chunk
tool.execution_startTool invocation started
tool.execution_completeTool execution finished
session.idleNo active processing
session.errorError occurred

Client Configuration

OptionDescriptionDefault
cliPathPath to Copilot CLI executableSystem PATH
cliUrlConnect to existing server (e.g., "localhost:4321")None
portServer communication portRandom
useStdioUse stdio transport instead of TCPtrue
logLevelLogging verbosity"info"
autoStartLaunch server automaticallytrue
autoRestartRestart on crashestrue
cwdWorking directory for CLI processInherited

Session Configuration

OptionDescription
modelLLM to use ("gpt-4.1", "claude-sonnet-4.5", etc.)
sessionIdCustom session identifier
toolsCustom tool definitions
mcpServersMCP server connections
customAgentsCustom agent personas
systemMessageOverride default system prompt
streamingEnable incremental response chunks
availableToolsWhitelist of permitted tools
excludedToolsBlacklist of disabled tools

Session Persistence

Save and resume conversations across restarts:

Create with Custom ID

typescript
1const session = await client.createSession({ 2 onPermissionRequest: approveAll, 3 sessionId: "user-123-conversation", 4 model: "gpt-4.1" 5});

Resume Session

typescript
1const session = await client.resumeSession("user-123-conversation", { onPermissionRequest: approveAll }); 2await session.send({ prompt: "What did we discuss earlier?" });

List and Delete Sessions

typescript
1const sessions = await client.listSessions(); 2await client.deleteSession("old-session-id");

Error Handling

typescript
1try { 2 const client = new CopilotClient(); 3 const session = await client.createSession({ 4 onPermissionRequest: approveAll, 5 model: "gpt-4.1", 6 }); 7 const response = await session.sendAndWait( 8 { prompt: "Hello!" }, 9 30000 // timeout in ms 10 ); 11} catch (error) { 12 if (error.code === "ENOENT") { 13 console.error("Copilot CLI not installed"); 14 } else if (error.code === "ECONNREFUSED") { 15 console.error("Cannot connect to Copilot server"); 16 } else { 17 console.error("Error:", error.message); 18 } 19} finally { 20 await client.stop(); 21}

Graceful Shutdown

typescript
1process.on("SIGINT", async () => { 2 console.log("Shutting down..."); 3 await client.stop(); 4 process.exit(0); 5});

Common Patterns

Multi-turn Conversation

typescript
1const session = await client.createSession({ 2 onPermissionRequest: approveAll, 3 model: "gpt-4.1", 4}); 5 6await session.sendAndWait({ prompt: "My name is Alice" }); 7await session.sendAndWait({ prompt: "What's my name?" }); 8// Response: "Your name is Alice"

File Attachments

typescript
1await session.send({ 2 prompt: "Analyze this file", 3 attachments: [{ 4 type: "file", 5 path: "./data.csv", 6 displayName: "Sales Data" 7 }] 8});

Abort Long Operations

typescript
1const timeoutId = setTimeout(() => { 2 session.abort(); 3}, 60000); 4 5session.on((event) => { 6 if (event.type === "session.idle") { 7 clearTimeout(timeoutId); 8 } 9});

Available Models

Query available models at runtime:

typescript
1const models = await client.getModels(); 2// Returns: ["gpt-4.1", "gpt-4o", "claude-sonnet-4.5", ...]

Best Practices

  1. Always cleanup: Use try-finally or defer to ensure client.stop() is called
  2. Set timeouts: Use sendAndWait with timeout for long operations
  3. Handle events: Subscribe to error events for robust error handling
  4. Use streaming: Enable streaming for better UX on long responses
  5. Persist sessions: Use custom session IDs for multi-turn conversations
  6. 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

Status

This SDK is in Technical Preview and may have breaking changes. Not recommended for production use yet.

Связанные навыки

Looking for an alternative to copilot-sdk or another community skill for your workflow? Explore these related open-source skills.

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openclaw-release-maintainer

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openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

widget-generator

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Generate customizable widget plugins for the prompts.chat feed system

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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