claude-agent-sdk

jeongsk's avatarfrom jeongsk

Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-agent-sdk packages, (3) Implementing agent features like tools, hooks, subagents, MCP integration, or sessions, (4) Migrating from Claude Code SDK to Agent SDK, (5) Configuring permissions, budgets, or custom tool access.

⭐3stars🔀0forks📁View on GitHub🕐Updated Jan 3, 2026

When & Why to Use This Skill

The Claude Agent SDK is a professional-grade framework for building autonomous AI agents in TypeScript and Python. It streamlines the development of production-ready agents by providing a built-in agent loop, sophisticated tool orchestration (including file editing, bash execution, and web searching), and advanced infrastructure features like subagent delegation, MCP integration, and session persistence.

Use Cases

  • Autonomous Software Engineering: Creating agents that can independently navigate codebases, diagnose issues, and apply multi-file edits using the Read, Write, and Edit tools.
  • Multi-Agent System Development: Orchestrating complex workflows where a primary agent spawns and manages specialized subagents for tasks like security auditing or quality assurance.
  • Enhanced Tool Connectivity: Integrating external services and custom data sources into the agent's environment using the Model Context Protocol (MCP).
  • DevOps and Infrastructure Automation: Building agents capable of executing terminal commands, managing git operations, and performing system maintenance via the Bash tool.
  • Enterprise-Grade Agent Control: Implementing cost-aware AI applications with granular budget limits, permission hooks, and session management for long-running tasks.
nameclaude-agent-sdk
description"Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-agent-sdk packages, (3) Implementing agent features like tools, hooks, subagents, MCP integration, or sessions, (4) Migrating from Claude Code SDK to Agent SDK, (5) Configuring permissions, budgets, or custom tool access."

Claude Agent SDK

Build AI agents that autonomously read files, run commands, search the web, edit code, and more. The Agent SDK provides the same tools, agent loop, and context management that power Claude Code, programmable in Python and TypeScript.

Installation

Prerequisites

Install Claude Code runtime first:

# macOS/Linux/WSL
curl -fsSL https://claude.ai/install.sh | bash

# or via npm
npm install -g @anthropic-ai/claude-code

SDK Installation

# TypeScript
npm install @anthropic-ai/claude-agent-sdk

# Python
pip install claude-agent-sdk

API Key

export ANTHROPIC_API_KEY=your-api-key

Alternative authentication:

  • Amazon Bedrock: CLAUDE_CODE_USE_BEDROCK=1
  • Google Vertex AI: CLAUDE_CODE_USE_VERTEX=1
  • Microsoft Foundry: CLAUDE_CODE_USE_FOUNDRY=1

Basic Usage

TypeScript

import { query } from "@anthropic-ai/claude-agent-sdk";

for await (const message of query({
  prompt: "Find and fix the bug in auth.py",
  options: { allowedTools: ["Read", "Edit", "Bash"] }
})) {
  if ("result" in message) console.log(message.result);
}

Python

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions

async def main():
    async for message in query(
        prompt="Find and fix the bug in auth.py",
        options=ClaudeAgentOptions(allowed_tools=["Read", "Edit", "Bash"])
    ):
        if hasattr(message, "result"):
            print(message.result)

asyncio.run(main())

Built-in Tools

Tool Description
Read Read any file in the working directory
Write Create new files
Edit Make precise edits to existing files
Bash Run terminal commands, scripts, git operations
Glob Find files by pattern (**/*.ts, src/**/*.py)
Grep Search file contents with regex
WebSearch Search the web for current information
WebFetch Fetch and parse web page content
Task Spawn subagents for specialized tasks

Key Features

For detailed API reference and examples:

Permission Modes

  • default: Standard permission checks
  • acceptEdits: Automatically approve file edits
  • bypassPermissions: Skip all permission checks (use with caution)

Sessions

Resume conversations with full context:

// Capture session ID from init message
if (message.type === 'system' && message.subtype === 'init') {
  sessionId = message.session_id;
}

// Resume later
for await (const message of query({
  prompt: "Continue where we left off",
  options: { resume: sessionId }
})) { ... }

MCP Integration

Connect external tools via Model Context Protocol:

const response = query({
  prompt: "Open example.com and describe what you see",
  options: {
    mcpServers: {
      playwright: { command: "npx", args: ["@playwright/mcp@latest"] }
    }
  }
});

Subagents

Spawn specialized agents for focused tasks:

const response = query({
  prompt: "Use the code-reviewer agent to review this codebase",
  options: {
    allowedTools: ["Read", "Glob", "Grep", "Task"],
    agents: {
      "code-reviewer": {
        description: "Expert code reviewer for quality and security reviews.",
        prompt: "Analyze code quality and suggest improvements.",
        tools: ["Read", "Glob", "Grep"]
      }
    }
  }
});

Hooks

Run custom code at key points in the agent lifecycle:

  • PreToolUse, PostToolUse
  • Stop, SessionStart, SessionEnd
  • UserPromptSubmit

Budget Control

const response = query({
  prompt: "Analyze the codebase",
  options: {
    maxBudgetUsd: 2.5  // Stop if cost exceeds $2.50
  }
});

Project Skills

Load custom skills from .claude/commands/:

const response = query({
  prompt: "Review the pull request using available skills",
  options: {
    settingSources: ["project"]  // Loads skills from .claude/commands/
  }
});

Message Types

The SDK streams various message types:

  • system (subtype init): Session initialization with session_id
  • assistant: Claude's text responses and tool calls
  • user: Tool results and user input
  • result: Final response with execution stats
  • error: Error information

Available Models

  • claude-opus-4-5-20251101 - Most capable
  • claude-sonnet-4-20250514 - Balanced (default)
  • claude-sonnet-4-5-20250929 - Latest Sonnet
  • claude-haiku-4-5-20251001 - Fastest

SDK vs Client SDK

The Agent SDK handles tool loops autonomously:

// Agent SDK: Claude handles tools autonomously
for await (const message of query({ prompt: "Fix the bug in auth.py" })) {
  console.log(message);
}

The Client SDK requires you to implement tool execution:

// Client SDK: You implement the tool loop
let response = await client.messages.create({...});
while (response.stop_reason === "tool_use") {
  const result = yourToolExecutor(response.tool_use);
  response = await client.messages.create({ tool_result: result, ... });
}

Resources