PrefectHQ/marvin

What it solves

Marvin simplifies the process of turning unstructured text into structured data and executing complex tasks using language models. It removes the boilerplate code typically required to connect AI models to your application's data structures and functions.

How it works

Built on top of Pydantic AI, Marvin allows you to define Python data structures (using Pydantic models) that the AI must follow. You can use simple functions like extract to pull data from text, classify to label information, or run to perform tasks that involve calling custom tools. For more complex workflows, you can create an Agent to manage specific instructions and tools, or a Thread to maintain conversation history across multiple interactions.

Who it’s for

This library is designed for Python developers who want to integrate language models into their applications without manually managing prompt engineering or complex data parsing.

Highlights

• Typed data extraction: Easily convert natural language into structured Python objects.
• Tool integration: Allow AI models to execute your own Python functions to perform real-world tasks.
• Conversation management: Built-in support for persistent threads that store chat history in a database.
• Flexible configuration: Supports various model providers beyond the default OpenAI integration.
• Task-specific utilities: Includes dedicated methods for classification, example generation, and data casting.