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Marvin

Marvin is an open-source Python framework for producing structured outputs and building agentic AI workflows, using utilities, tasks, specialized agents and threads.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Marvin — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Marvin when an application needs Python-based structured LLM results or task-oriented AI workflows, from a single extraction or classification step to work coordinated across tasks and agents.

Who it is for

  • Python developers adding LLM-powered extraction, classification or data generation to software.
  • Developers organizing AI work into typed tasks and coordinating specialized agents.

Documented uses

  • Extract values from unstructured text into native Python types.
  • Cast input into a defined structure or classify it against predefined labels.
  • Generate structured objects from a description.
  • Define tasks with instructions and result types, assign specialized agents, and compose tasks into threads.
Before you choose

Requirements & limits

The repository documents installation from PyPI with uv and provider configuration. OpenAI is the default; the project says it natively supports Pydantic AI models. The repository lists an Apache-2.0 license.

  • The workflow is defined in Python and uses Marvin's task, agent and thread abstractions.
  • LLM provider configuration is part of setup.
  • Tasks can use developer-supplied tools and context; the repository warns that its shell-command example runs untrusted commands.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Marvin and configure an LLM provider

Prepare a Python environment to use Marvin with an LLM provider.

Before you start

  • Python project using uv
  • An API key for the configured LLM provider

Steps

  1. Add Marvin to the project with the command below.

    Documented command
    uv add marvin

  2. Configure the provider key; the repository's example uses export OPENAI_API_KEY=your-api-key.

Expected outcome

Marvin is installed and the environment has a provider key configured for LLM requests.

Guide limitations

  • OpenAI is the default provider; the repository says Marvin natively supports Pydantic AI models.
  • The guide covers setup, not execution of a particular workflow.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
7 October 2026
Original website title
PrefectHQ/marvin · Official homepage title · retained in its source language
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