abhisheksharma-17/pydantic-ai
skills/pydantic-ai/SKILL.md
Type-safe Python agent framework for building production-grade GenAI applications with Pydantic validation, structured outputs, and dependency injection. MANDATORY TRIGGERS: pydantic-ai, pydantic_ai, PydanticAI, pydantic ai agent. Also trigger when the user wants to build type-safe AI agents in Python, create structured LLM outputs with Pydantic models, implement dependency injection for agents, use tools/capabilities with LLMs, or build multi-agent systems with Python type safety. When in doubt about whether to use this skill for Python AI agent tasks, use it.
$ install --global
skillsauthnpx skillsauth add abhisheksharma-17/skills-graph pydantic-aiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Jun 11, 2026, 8:48 AM133.6s1 file scanned
SKILL.md
- name:
- pydantic-ai
- description:
- Type-safe Python agent framework for building production-grade GenAI applications with Pydantic validation, structured outputs, and dependency injection. MANDATORY TRIGGERS: pydantic-ai, pydantic_ai, PydanticAI, pydantic ai agent. Also trigger when the user wants to build type-safe AI agents in Python, create structured LLM outputs with Pydantic models, implement dependency injection for agents, use tools/capabilities with LLMs, or build multi-agent systems with Python type safety. When in doubt about whether to use this skill for Python AI agent tasks, use it.
- license:
- MIT
- version:
- 1.0.0
- author:
- Abhishek Sharma
- tags:
- ["ai-agents", "pydantic", "llm", "structured-output", "type-safe", "python", "tools", "mcp", "evals"]
Pydantic AI
Source: pydantic.dev/docs/ai | Version tracked: 1.107.0 |
pip install pydantic-ai
Reference Files
| File | Read When |
|------|-----------|
| references/00-overview.md | Starting with Pydantic AI, understanding architecture, installation, quick start |
| references/01-agents.md | Creating agents, system prompts, instructions, running agents, model settings |
| references/02-dependencies.md | Dependency injection, RunContext, typed deps, overriding for tests |
| references/03-output.md | Structured output types, output functions, validators, unions, image output |
| references/04-tools.md | Function tools, @agent.tool decorators, prepare callbacks, retries, dynamic tools |
| references/05-capabilities.md | Capabilities, AbstractCapability, on-demand loading, bundling tools+hooks |
| references/06-hooks.md | Lifecycle hooks, model request hooks, tool hooks, output hooks, wrap hooks |
| references/07-streaming.md | Streaming text, structured output streaming, stream events, cancellation |
| references/08-models.md | Model providers, OpenAI/Anthropic/Google/Ollama config, fallbacks, concurrency |
| references/09-multi-agent.md | Multi-agent delegation, handoff, programmatic orchestration, agent-as-tool |
| references/10-mcp.md | MCP client integration, FastMCP toolset, native MCP tools, MCP server mode |
| references/11-testing-evals.md | TestModel, FunctionModel, agent.override, Pydantic Evals, online evaluation |
| references/12-logfire-observability.md | Logfire integration, OpenTelemetry traces, debugging, monitoring agents |
Installation
pip install pydantic-ai # Full install (all providers + Logfire)
pip install pydantic-ai-slim # Minimal — add provider extras as needed
pip install 'pydantic-ai[ui]' # Web chat UI support
pip install 'pydantic-ai[evals]' # Evaluation framework
Quick Reference
- Docs | GitHub | PyPI
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