building-pydantic-ai-agentslisted

# Building AI Agents with Pydantic AI Pydantic AI is a Python agent framework for building production-grade Generative AI applications. This skill provides patterns, architecture guidance, and tested code examples for building applications with Pydantic AI. ## When to Use This Skill Invoke this skill when: - User asks to build an AI agent, create an LLM-powered app, or mentions Pydantic AI - User wants to add tools, capabilities (thinking, web search), or structured output to an agent - User asks to define agents from YAML/JSON specs or use template strings - User wants to stream agent events, delegate between agents, or test agent behavior - Code imports `pydantic_ai` or references Pydantic AI classes (`Agent`, `RunContext`, `Tool`) - User asks about hooks, lifecycle interception, or agent observability with Logfire Do **not** use this skill for: - The Pydantic validation library alone (`pydantic`/`BaseModel` without agents) - Other AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) - General Python development unrelated to AI agents ## Quick-Start Patterns ### Create a Basic Agent ```python from pydantic_ai import Agent agent = Agent( 'anthropic:claude-sonnet-4-6', instructions='Be concise, reply with one sentence.', ) result = agent.run_sync('Where does "hello world" come from?') print(result.output) """ The first known use of "hello, world" was in a 1974 textbook about the C programming language. """ ``` ### Add Tools to an Agent ```python import ra