claude-agent-sdk-python

To build a Python agent app with the Claude Agent SDK, you need to install the SDK, configure your project, and use structured patterns to create agents with tools, permissions, and lifecycle hooks. This process is automated to minimize boilerplate.

Lifecycle hooks in the Claude Agent SDK are structured callbacks that allow you to execute custom logic at specific stages of an agent's execution. You implement them within your Python application to manage state and trigger actions during multi-turn conversations.

Yes, the claude-agent-sdk-python guide explicitly covers creating custom MCP tools. It provides scaffolding and integration steps to define, configure, and run these tools alongside your agent applications.

You test multi-turn conversations in a Claude agent application by using the provided testing scaffolds and templates. The guide automates the setup of independent app tests to validate agent responses and tool executions.

Yes, anyio is a required dependency to set up permissions and run your Python agent. The guide uses anyio alongside the claude_agent_sdk to enforce structured patterns for asynchronous permission checks.

The best way to reduce boilerplate when integrating the Claude Agent SDK is to use enforced structured patterns and tooling templates. This approach provides clear integration steps and scaffolds for common use cases like agents and MCP servers.