Pydantic helps developers ensure that data entering their applications follows clearly defined structures and rules. Its core validation library uses Python type annotations to validate data, convert compatible values and generate structured errors when information does not meet the expected requirements.

Beyond data validation, Pydantic has expanded into AI application development through Pydantic AI, an open-source Python framework for building AI agents. Developers can connect different language models, define agent tools, generate structured outputs and create multi-agent workflows using a consistent Python interface.

The ecosystem also includes Pydantic Logfire, which provides observability for applications and AI agents by tracking model requests, tool calls, errors, performance and costs. Pydantic AI Gateway provides a central way to connect to multiple AI model providers with spending limits, usage tracking and fallback options.

Other components include Pydantic Evals for testing and evaluating AI outputs, Pydantic Graph for typed workflow control and Pydantic AI Harness for building more capable agents.

Together, these tools make Pydantic useful for developers who want to move from basic Python data validation to building, testing and deploying production-grade AI applications.

$49/month