agent-builder-pydantic-ai

Create type-safe Python AI agents with Pydantic validation and automated tool calling.

13|31|Updated Oct 30, 2025

Search Tags:#type safety #AI agents #tool calling #backend development #Python #OpenRouter #Pydantic AI

One-click install

npx skills add https://github.com/daniel-carreon/video-generator --skill agent-builder-pydantic-ai

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: agent-builder-pydantic-ai
Source: https://github.com/daniel-carreon/video-generator/tree/main/.claude/skills/agent-builder-pydantic-ai
Command: npx skills add https://github.com/daniel-carreon/video-generator --skill agent-builder-pydantic-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic-ai, httpx, pydantic, python-dotenv.

What problem does it solve?

This skill streamlines the creation of reliable, type-safe AI agents in Python, automating validation, error handling, and tool integration for production-ready applications. It reduces development time and improves agent reliability.

Core Features & Use Cases

Type-Safe Agents: Define agent inputs, outputs, and tool parameters with Pydantic for automatic validation and clear data contracts.
Automated Tool Calling: Seamlessly integrate custom tools with strict type checking and execution, enhancing agent capabilities.
Robust Error Handling: Implement auto-retry mechanisms for malformed LLM responses and API failures, ensuring agent resilience.
Use Case: A data science team needs to build an AI agent that can interact with various internal APIs (e.g., database queries, report generation). This skill provides the framework for a reliable, maintainable, and extensible agent.

Quick Start

Use the agent-builder-pydantic-ai to create a simple AI agent that can respond to user messages and call a 'get_weather' tool for a specified city, ensuring type-safe interactions.