#pydantic

Light, flexible and extensible ASGI framework | Built to scale

AI observability platform for production LLM and agent systems.

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

The agent engineering platform.

Build resilient agents.

Data validation using Python type hints

Settings management using pydantic

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.

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

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

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

Extra Pydantic types.

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

OpenAPI (Swagger) documentation and Swagger UI for the Azure Functions Python v2 programming model