pydantic-ai-ecosystem

What problem does it solve?

This Skill simplifies the complex task of building, evaluating, and deploying production-grade AI agents and workflows. It eliminates boilerplate, ensures type safety, and provides robust tools for testing and observability, letting you focus on AI logic.

Core Features & Use Cases

• Type-Safe AI Agents: Develop robust, model-agnostic AI agents with structured outputs and tool calling using pydantic-ai.
• Comprehensive Evaluation: Systematically test and validate LLM applications with pydantic-evals, including LLM-as-a-judge.
• Complex Workflows: Design and manage multi-step AI processes and state machines with pydantic-graph.
• Use Case: Quickly build a customer support agent that uses tools to fetch order details, then evaluate its accuracy against a dataset of common customer queries before deploying it as an A2A service.

Quick Start

Use the pydantic-ai-ecosystem skill to create a basic AI agent that can answer questions about city populations.