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Building Effective Agents With Pydantic Ai

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Description

Code examples for Building Effective Agents ported and adapted to use Pydantic AI

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Building Effective Agents with Pydantic AI

Code examples for the agentic AI patterns discussed in the excellent article [Building Effective Agents](https://www.anthropic.com/research/building-effective-agents) by [Erik Schluntz](https://github.com/eschluntz) and [Barry Zhang](https://github.com/ItsBarryZ) of Anthropic, inspired, ported and adapted from the [code samples](https://github.com/anthropics/anthropic-cookbook/tree/main/patterns/agents) by the authors.

The examples rely on [Pydantic AI](https://ai.pydantic.dev/), an agentic AI orchestration library that is particularly well-suited for implementing these patterns with clarity and precision.

These examples complement the original code accompanying the article and hopefully serve a dual purpose, demonstrating both the foundational agentic AI patterns discussed in the article and the use of Pydantic AI.

Notebooks

Setup

  1. Copy `dot.env` to `.env`

  2. Fill in the API keys for one or more of your LLM provider(s)

  3. Set `AI_MODEL` to the model you want to use (see https://ai.pydantic.dev/models/ for supported providers and models)

    For example:

    OPENAI_API_KEY=sk-123456789
    AI_MODEL=openai:gpt-4o

    or

    GEMINI_API_KEY=ABC-123_xyz
    AI_MODEL=gemini-1.5-pro

    or

    ANTHROPIC_API_KEY=ABC-sk-123456789
    AI_MODEL=claude-3-5-sonnet-latest

    You can also omit the `AI_MODEL` variable, which will result in a ra