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LangChain is a framework for building agents and LLM-powered applications. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves.

Low-level orchestration framework for building stateful agents.

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

Pydantic AI is the Python AI SDK: a typed, extensible agent loop with every model a string swap away. The same agent runs everywhere you need it: behind a web frontend, in the terminal, on a voice call, on a durable background queue, or as a plain object you call run() on.

We've launched Pydantic Logfire to help you monitor your applications. Learn more

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

, crud, routers, models), which works well for microservices or smaller projects. However, this approach didn't scale well for our monolith with many domains and modules.

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Get reliable JSON from any LLM. Built on Pydantic for validation, type safety, and IDE support.

Every notebook can be opened and run on Google Colab directly from the links below. Just click the Open In Colab badge next to the notebook you want to run.

cascadeflow works where external proxies can't: per-step model decisions based on agent state, per-tool-call budget gating, runtime stop/continue/escalate actions, and business KPI injection during agent loops.

Then configure the HyperSync token. env, open it in any editor, and set HYPERSYNCBEARERTOKEN. env from the working directory on startup, so there is no export step.