AgentSkillsCN

claude-agent-sdk

使用Claude Agent SDK(TypeScript/Python)构建生产级AI代理。适用于用户询问以下问题时:(1) 使用Claude构建AI代理,(2) 使用@anthropic-ai/claude-agent-sdk或claude-agent-sdk软件包,(3) 实现代理功能,如工具、钩子、子代理、MCP集成或会话,(4) 从Claude Code SDK迁移到Agent SDK,(5) 配置权限、预算或自定义工具访问。

SKILL.md
--- frontmatter
name: claude-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:

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

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

SDK Installation

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

# Python
pip install claude-agent-sdk

API Key

bash
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

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

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

ToolDescription
ReadRead any file in the working directory
WriteCreate new files
EditMake precise edits to existing files
BashRun terminal commands, scripts, git operations
GlobFind files by pattern (**/*.ts, src/**/*.py)
GrepSearch file contents with regex
WebSearchSearch the web for current information
WebFetchFetch and parse web page content
TaskSpawn 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:

typescript
// 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:

typescript
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:

typescript
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

typescript
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/:

typescript
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:

typescript
// 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:

typescript
// 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