- name
- copilot_sdk
- description
- Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, custom agents, skills, and deployment patterns. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).
# GitHub Copilot SDK
Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
## Prerequisites
- **GitHub Copilot CLI** installed and authenticated (`copilot --version`)
- **GitHub Copilot subscription** (Individual, Business, or Enterprise) — not required for BYOK
- **Runtime:** Node.js 18+ / Python 3.8+ / Go 1.21+ / .NET 8.0+
## Installation
| Language | Package | Install |
|----------|---------|---------|
| Node.js | `@github/copilot-sdk` | `npm install @github/copilot-sdk` |
| Python | `github-copilot-sdk` | `pip install github-copilot-sdk` |
| Go | `github.com/github/copilot-sdk/go` | `go get github.com/github/copilot-sdk/go` |
| .NET | `GitHub.Copilot.SDK` | `dotnet add package GitHub.Copilot.SDK` |
## Architecture
The SDK communicates with the Copilot CLI via JSON-RPC over stdio (default) or TCP. The CLI manages model calls, tool execution, session state, and MCP server lifecycle.
```
Your App → SDK Client → [stdio/TCP] → Copilot CLI → Model Provider
↕
MCP Servers
```
**Transport modes:**
| Mode | Description | Use Case |
|------|-------------|----------|
| **Stdio** (default) | CLI as subprocess via pipes | Local dev, single process |
| **TCP** | CLI as network server | Multi-client, backend services |
---
## Core Pattern: Client → Session → Message
All SDK usage follows: create a client, create a session, send messages.
### Node.js / TypeScript
```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();
```
### Python
```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())
```
### Go
```go
client := copilot.NewClient(nil)
if err := client.Start(ctx); err != nil { log.Fatal(err) }
defer client.Stop()
session, _ := client.CreateSession(ctx, &copilot.SessionConfig{Model: "gpt-4.1"})
response, _ := session.SendAndWait(ctx, copilot.MessageOptions{Prompt: "What is 2 + 2?"})
fmt.Println(*response.Data.Content)
```
### .NET
```csharp
await using var client = new CopilotClient();
await using var session = await client.CreateSessionAsync(new SessionConfig { Model = "gpt-4.1" });
var response = await session.SendAndWaitAsync(new MessageOptions { Prompt = "What is 2 + 2?" });
Console.WriteLine(response?.Data.Content);
```
---
## Streaming Responses
Enable real-time output by setting `streaming: true` and subscribing to delta events.
### Node.js
```typescript
const session = await client.createSession({ model: "gpt-4.1", streaming: true });
session.on("assistant.message_delta", (event) => {
process.stdout.write(event.data.deltaContent);
});
session.on("session.idle", () => console.log());
await session.sendAndWait({ prompt: "Tell me a joke" });
```
### Python
```python
from copilot.generated.session_events import SessionEventType
session = await client.create_session({"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 joke"})
```
### Event Subscription
| Method | Description |
|--------|-------------|
| `on(handler)` | Subscribe to all events; returns unsubscribe function |
| `on(eventType, handler)` | Subscribe to specific event type (Node.js only) |
Call the returned function to unsubscribe. In .NET, call `.Dispose()` on the returned disposable.
---
## Custom Tools
Define tools that Copilot can call to extend its capabilities.
### Node.js
```typescript
import { CopilotClient, defineTool } 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 ({ city }) => ({ city, temperature: "72°F", condition: "sunny" }),
});
const session = await client.createSession({
model: "gpt-4.1",
tools: [getWeather],
});
```
### Python
```python
from copilot.tools import define_tool
from pydantic import BaseModel, Field
class GetWeatherParams(BaseModel):
city: str = Field(description="The city name")
@define_tool(description="Get the current weather for a city")
async def get_weather(params: GetWeatherParams) -> dict:
return {"city": params.city, "temperature": "72°F", "condition": "sunny"}
session = await client.create_session({"model": "gpt-4.1", "tools": [get_weather]})
```
### Go
```go
type WeatherParams struct {
City string `json:"city" jsonschema:"The city name"`
}
getWeather := copilot.DefineTool("get_weather", "Get weather for a city",
func(params WeatherParams, inv copilot.ToolInvocation) (WeatherResult, error) {
return WeatherResult{City: params.City, Temperature: "72°F"}, nil
},
)
session, _ := client.CreateSession(ctx, &copilot.SessionConfig{
Model: "gpt-4.1",
Tools: []copilot.Tool{getWeather},
})
```
### .NET
```csharp
using Microsoft.Extensions.AI;
using System.ComponentModel;
var getWeather = AIFunctionFactory.Create(
([Description("The city name")] string city) => new { city, temperature = "72°F" },
"get_weather", "Get the current weather for a city");
await using var session = await client.CreateSessionAsync(new SessionConfig {
Model = "gpt-4.1", Tools = [getWeather],
});
```
### Tool Requirements
- Handler must return JSON-serializable data (not `undefined`)
- Parameters must follow JSON Schema format
- Tool description should clearly state when the tool should be used
---
## Hooks
Intercept and customize session behavior at key lifecycle points.
| Hook | Trigger | Use Case |
|------|---------|----------|
| `onPreToolUse` | Before tool executes | Permission control, argument modification |
| `onPostToolUse` | After tool executes | Result transformation, logging, redaction |
| `onUserPromptSubmitted` | User sends message | Prompt modification, filtering, context injection |
| `onSessionStart` | Session begins (new or resumed) | Add context, configure session |
| `onSessionEnd` | Session ends | Cleanup, analytics, metrics |
| `onErrorOccurred` | Error happens | Custom error handling, retry logic, monitoring |
### Pre-Tool Use Hook
Control tool permissions, modify arguments, or inject context before tool execution.
```typescript
const session = await client.createSession({
hooks: {
onPreToolUse: async (input) => {
if (["shell", "bash"].includes(input.toolName)) {
return { permissionDecision: "deny", permissionDecisionReason: "Shell access not permitted" };
}
return { permissionDecision: "allow" };
},
},
});
```
**Input fields:** `timestamp`, `cwd`, `toolName`, `toolArgs`
**Output fields:**
| Field | Type | Description |
|-------|------|-------------|
| `permissionDecision` | `"allow"` \| `"deny"` \| `"ask"` | Whether to allow the tool call |
| `permissionDecisionReason` | string | Explanation for deny/ask |
| `modifiedArgs` | object | Modified arguments to pass |
| `additionalContext` | string | Extra context for conversation |
| `suppressOutput` | boolean | Hide tool output from conversation |
### Post-Tool Use Hook
Transform results, redact sensitive data, or log tool activity after execution.
```typescript
hooks: {
onPostToolUse: async (input) => {
// Redact sensitive data from results
if (typeof input.toolResult === "string") {
let redacted = input.toolResult;
for (const pattern of SENSITIVE_PATTERNS) {
redacted = redacted.replace(pattern, "[REDACTED]");
}
if (redacted !== input.toolResult) {
return { modifiedResult: redacted };
}
}
return null; // Pass through unchanged
},
}
```
**Output fields:** `modifiedResult`, `additionalContext`, `suppressOutput`
### User Prompt Submitted Hook
Modify or enhance user prompts before processing. Useful for prompt templates, context injection, and input validation.
```typescript
hooks: {
onUserPromptSubmitted: async (input) => {
return {
modifiedPrompt: `[User from engineering team] ${input.prompt}`,
additionalContext: "Follow company coding standards.",
};
},
}
```
**Output fields:** `modifiedPrompt`, `additionalContext`, `suppressOutput`
### Session Lifecycle Hooks
```typescript
hooks: {
onSessionStart: async (input, invocation) => {
// input.source: "startup" | "resume" | "new"
console.log(`Session ${invocation.sessionId} started (${input.source})`);
return { additionalContext: "Project uses TypeScript and React." };
},
onSessionEnd: async (input, invocation) => {
// input.reason: "complete" | "error" | "abort" | "timeout" | "user_exit"
await recordMetrics({ sessionId: invocation.sessionId, reason: input.reason });
return null;
},
}
```
### Error Handling Hook
```typescript
hooks: {
onErrorOccurred: async (input) => {
// input.errorContext: "model_call" | "tool_execution" | "system" | "user_input"
// input.recoverable: boolean
if (input.errorContext === "model_call" && input.error.includes("rate")) {
return { errorHandling: "retry", retryCount: 3, userNotification: "Rate limited. Retrying..." };
}
return null; // Default error handling
},
}
```
**Output fields:** `suppressOutput`, `errorHandling` (`"retry"` | `"skip"` | `"abort"`), `retryCount`, `userNotification`
### Python Hook Example
```python
async def on_pre_tool_use(input_data, invocation):
if input_data["toolName"] in ["shell", "bash"]:
return {"permissionDecision": "deny", "permissionDecisionReason": "Not permitted"}
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