#pydantic

Build resilient agents.

Light, flexible and extensible ASGI framework | Built to scale

AI observability platform for production LLM and agent systems.

AI Agent Framework, the Pydantic way

FastAPI framework, high performance, easy to learn, fast to code, ready for production

The agent engineering platform.

Data validation using Python type hints

SQL databases in Python, designed for simplicity, compatibility, and robustness.

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

Extra Pydantic types.

Settings management using pydantic

Repair malformed JSON from LLMs, APIs, logs, and user input in Python.

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

Simple and powerful factories for mock data generation

Minimal effort CLIs derived from type hints and parse from command line, config files and environment variables