pydantic-ai
How Python does AI: agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Pydantic AI is a type-safe Python SDK for building AI agents with structured outputs, function tools, and dependency injection. Created by the Pydantic team, it provides a unified API for virtually every language model provider (OpenAI, Anthropic, Google, Bedrock, xAI, Ollama, and more) with model swapping via a single string parameter. The framework supports multiple deployment interfaces including CLI, web chat, realtime voice, and durable execution on platforms like Temporal, DBOS, and Prefect. Agents benefit from end-to-end typing, OpenTelemetry instrumentation, and a composable capability system that bundles reusable tools, instructions, and hooks.
Key Features
Use Cases
- 01Building terminal-based coding agents with file access, shell execution, repository context, and planning capabilities
- 02Creating typed data extraction pipelines with validated structured outputs and automatic schema generation
- 03Deploying customer support agents with dynamic tool loading, risk assessment, and typed response validation
- 04Implementing realtime voice assistants with function calling and capability support across multiple providers
- 05Running durable background research agents that survive restarts and handle long-running workflows
- 06Generating images through provider-native generation or fallback sub-agents with typed outputs
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pydantic-ai — FAQ
What is Pydantic AI?+
Pydantic AI is a Python SDK for building type-safe AI agents with structured outputs, function tools, and multi-model support. It provides a unified API for 20+ language model providers with end-to-end typing, OpenTelemetry instrumentation, and deployment across CLI, web, voice, and durable execution platforms.
How do I install Pydantic AI?+
Install via pip or uv with 'uv add pydantic-ai' for the core library. For realtime voice support, use 'uv add "pydantic-ai[openai-realtime]"'. For durable execution on Temporal, use 'uv add "pydantic-ai[temporal]"'. The Pydantic AI Harness (extended capabilities library) installs with 'uv add pydantic-ai-harness'.
Which AI models and providers does Pydantic AI support?+
Pydantic AI supports virtually every major provider including OpenAI, Anthropic, Google (Gemini), AWS Bedrock, Azure AI Foundry, Groq, Mistral, xAI, Ollama, and dozens more. Models are swappable with a single string parameter like 'openai:gpt-5.6-sol' or 'anthropic:claude-fable-5'.
Do I need API keys to start using Pydantic AI?+
No API keys are required to start. Pydantic AI includes a built-in 'test' model for unit testing and development. For production use with real LLM providers, you'll need API keys from your chosen provider (OpenAI, Anthropic, etc.).
Is Pydantic AI free and open source?+
Yes, Pydantic AI is open source and available on GitHub under the MIT license. The core framework, Pydantic AI Harness capability library, and integrations are freely available. Usage costs depend on the LLM provider you choose to connect.
What interfaces can Pydantic AI agents run on?+
Pydantic AI agents can run as CLI applications, web chat interfaces, realtime voice sessions (OpenAI Realtime, Gemini Live, Azure, xAI Grok Voice), durable workflows (Temporal, DBOS, Prefect), UI event streams for custom frontends, and as plain Python objects with run() methods. The same agent definition works across all interfaces.
How do I install pydantic-ai?+
Open the source repository on GitHub and follow its README. pydantic-ai is a agent — MCP Agents Market links you directly to the official repo.
Is pydantic-ai free?+
pydantic-ai is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.