Skill · em Dados, IA e pesquisa
pydantic-ai
Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/skills/ai-research/pydantic-ai - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- nenhum download no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
1 arquivo · 11,5 KB · só texto, nenhum script
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/skills/pydantic-ai/.
d=".claude/skills/pydantic-ai" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/pydantic-ai" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/skills/pydantic-ai/.
d="$HOME/.claude/skills/pydantic-ai" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/pydantic-ai" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: instala em .agents/skills/pydantic-ai/.
d=".agents/skills/pydantic-ai" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/pydantic-ai" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.agents/skills/pydantic-ai/.
d="$HOME/.agents/skills/pydantic-ai" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/pydantic-ai" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Antigravity
Neste projeto: instala em .agents/skills/pydantic-ai/.
d=".agents/skills/pydantic-ai" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/pydantic-ai" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.gemini/antigravity-cli/skills/pydantic-ai/.
d="$HOME/.gemini/antigravity-cli/skills/pydantic-ai" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/pydantic-ai" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Peça ao Rook
Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.pydantic-ai
Prévia do SKILL.md
---
name: pydantic-ai
description: "Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support."
category: ai-agents
risk: safe
source: community
date_added: "2026-03-18"
author: suhaibjanjua
tags: [pydantic-ai, ai-agents, llm, openai, anthropic, gemini, tool-use, structured-output, python]
tools: [claude, cursor, gemini]
---
# PydanticAI — Typed AI Agents in Python
## Overview
PydanticAI is a Python agent framework from the Pydantic team that brings the same type-safety and validation guarantees as Pydantic to LLM-based applications. It supports structured outputs (validated with Pydantic models), dependency injection for testability, streamed responses, multi-turn conversations, and tool us…
## When to Use This Skill
- Use when building Python AI agents that call tools and return structured data
- Use when you need validated, typed LLM outputs (not raw strings)
- Use when you want to write unit tests for agent logic without hitting a real LLM
- Use when switching between LLM providers without rewriting agent code
- Use when the user asks about `Agent`, `@agent.tool`, `RunContext`, `ModelRetry`, or `result_type`
## How It Works
### Step 1: Installation
```bash
pip install pydantic-ai
# Install extras for specific providers
pip install 'pydantic-ai[openai]' # OpenAI / Azure OpenAI
pip install 'pydantic-ai[anthropic]' # Anthropic Claude
pip install 'pydantic-ai[gemini]' # Google Gemini
pip install 'pydantic-ai[groq]' # Groq
pip install 'pydantic-ai[vertexai]' # Google Vertex AI
```
…