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claude-agent-sdk

Claude Agent SDK (TS @anthropic-ai/claude-agent-sdk, Python claude_agent_sdk), wrapping Claude Code. Use for query()/ClaudeSDKClient, SDK hooks, subagents (AgentDefinition), SDK MCP servers, permissionMode/permission_mode, structured outputs, Docker/K8s sandbox, sessions (resume, fork, SessionStore to S3/Redis/Postgres), SDK errors. Skip: Claude Code CLI config (use claude-code), Messages API (use anthropic-api), MCP spec (use mcp-spec), hosted Managed Agents (use anthropic-platform-features).

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xiaolai/anthropic-docs
ソースの最終更新活動
2026年9月30日 06:02
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SKILL.md
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name
claude-agent-sdk
description
Claude Agent SDK (TS @anthropic-ai/claude-agent-sdk, Python claude_agent_sdk), wrapping Claude Code. Use for query()/ClaudeSDKClient, SDK hooks, subagents (AgentDefinition), SDK MCP servers, permissionMode/permission_mode, structured outputs, Docker/K8s sandbox, sessions (resume, fork, SessionStore to S3/Redis/Postgres), SDK errors. Skip: Claude Code CLI config (use claude-code), Messages API (use anthropic-api), MCP spec (use mcp-spec), hosted Managed Agents (use anthropic-platform-features).
user-invocable
true
# Claude Agent SDK Reference | | TypeScript | Python | |---|---|---| | **Version** | v0.3.159 | v0.2.87 | | **Package** | `@anthropic-ai/claude-agent-sdk` | `claude-agent-sdk` (PyPI) | | **Docs** | [TypeScript SDK](https://platform.claude.com/docs/en/agent-sdk/typescript) | [Python SDK](https://platform.claude.com/docs/en/agent-sdk/python) | | **Repo** | [claude-agent-sdk-typescript](https://github.com/anthropics/claude-agent-sdk-typescript) | [claude-agent-sdk-python](https://github.com/anthropics/claude-agent-sdk-python) | | **Full reference** | [SKILL-typescript.md](SKILL-typescript.md) | [SKILL-python.md](SKILL-python.md) | ## When to use Router skill for the Claude Agent SDK — Anthropic's libraries for building autonomous AI agents that wrap the Claude Code CLI runtime. Ships in TypeScript (`@anthropic-ai/claude-agent-sdk` on npm) and Python (`claude-agent-sdk` on PyPI). Covers `query()` / `ClaudeSDKClient`, hooks (PreToolUse / PostToolUse / Stop / etc.), subagents, MCP servers (stdio / HTTP / SSE / SDK in-process), permission modes, the sandbox (Docker / Kubernetes), structured outputs (JSON Schema validation), session capture / resume / fork, and session storage adapters (`SessionStore`, `InMemorySessionStore`, S3/Redis/Postgres). Use when the user asks about: importing `@anthropic-ai/claude-agent-sdk` in TypeScript or `from claude_agent_sdk import ...` in Python, writing an agent that uses `query()` or `ClaudeSDKClient`, registering hooks via the SDK (`hooks: { PreToolUse: [...] }` / `hooks={"PreToolUse": [...]}`), defining MCP servers in SDK options, configuring `permissionMode` / `permission_mode`, building subagents with `AgentDefinition`, enabling structured outputs, running agents in a Docker/K8s sandbox, capturing and resuming sessions, mirroring session transcripts to external storage (S3, Redis, Postgres) via `SessionStore`, or troubleshooting SDK-specific errors (the SDK wraps Claude Code, so its errors differ from raw Messages API errors). Skip: questions about the Claude Code CLI itself such as `.claude/ settings.json` or `.mcp.json` files (use claude-code), the Anthropic Messages API directly without the SDK (use anthropic-api), the MCP protocol spec itself (use mcp-spec), or Anthropic's hosted Managed Agents product (use anthropic-platform-features). ## When you detect the user's language - Working with `.ts` files, TypeScript imports, or `npm`/`node` → read `SKILL-typescript.md` - Working with `.py` files, Python imports, or `pip`/`python` → read `SKILL-python.md` - Ambiguous or multi-language → read both surface files ## Cross-Language Naming Map | Concept | TypeScript | Python | |---------|-----------|--------| | One-shot query | `query(options)` | `query(options)` | | Stateful client | N/A (query manages state) | `ClaudeSDKClient` | | Options type | `Options` interface | `ClaudeAgentOptions` dataclass | | Tool definition | `tool(name, schema, handler)` | `@tool(name, desc, schema)` decorator | | MCP server factory | `createSdkMcpServer()` | `create_sdk_mcp_server()` | | Permission callback | `canUseTool` | `can_use_tool` | | Permission mode | `permissionMode: "..."` | `permission_mode="..."` | | Hook registration | `hooks: { PreToolUse: [...] }` | `hooks={"PreToolUse": [...]}` | | System prompt | `systemPrompt` | `system_prompt` | | Max turns | `maxTurns` | `max_turns` | | Allowed tools | `allowedTools` | `allowed_tools` | | MCP servers | `mcpServers` | `mcp_servers` | | Subagent def | `AgentDefinition` | `AgentDefinition` dataclass | ## Shared Concepts (both languages) Both SDKs wrap the Claude Code CLI and share these concepts: - **Hooks**: Pre/PostToolUse, Stop, SubagentStop, Notification, etc. - **Permissions**: default, acceptEdits, plan, bypassPermissions, etc. - **MCP Servers**: stdio, HTTP, SSE, SDK (in-process) configurations - **Subagents**: Delegate tasks to child agents with scoped tools/permissions - **Structured Outputs**: JSON Schema validation on agent output - **Sandbox**: Container-based isolation (Docker/Kubernetes) - **Sessions**: Capture, resume, fork, and mirror transcripts to external storage (`SessionStore`) For API details, code examples, options tables, and known issues, read the language-specific reference file. ## Examples <example> Context: A developer is building an agent in TypeScript. user: "How do I resume a session with query() and store transcripts in Postgres?" assistant: Uses claude-agent-sdk and reads the TypeScript reference for session resume and SessionStore. </example> <example> Context: A developer asks about CLI settings. user: "Where does Claude Code read settings.local.json from?" assistant: Routes to claude-code instead; that is CLI configuration, not the SDK. </example>
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