The AI engineering framework

Marvin is a lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.

Sometimes the most challenging part of working with generative AI is remembering that it's not magic; it's software. It's new, it's nondeterministic, and it's incredibly powerful - but still software.

Marvin's goal is to bring the best practices for building dependable, observable software to generative AI. As the team behind Prefect, which does something very similar for data engineers, we've poured years of open-source developer tool experience and lessons into Marvin's design.

Documentation

Marvin's docs are available at askmarvin.ai, including concepts, tutorials, and an API reference.

pip install marvin

Getting started? Head over to our setup guide.

Community

To ask questions, share ideas, or just chat with like-minded developers, join us on Discord or Twitter!

Core AI Components

Marvin's high-level abstractions are familiar Python interfaces that make it easy to leverage AI in your application. These interfaces aim to be simple and self-documenting, adding a touch of AI magic to everyday objects.

🧩 AI Models for structuring text into type-safe schemas

🏷️ AI Classifiers for bulletproof classification and routing

🪄 AI Functions for complex business logic and transformations

🤝 AI Applications for interactive use and persistent state