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<img src="https://github.com/generative-computing/mellea/raw/main/docs/mellea_draft_logo_300.png" alt="Mellea logo" height=100>

# Mellea — build predictable AI without guesswork

**The problem with AI pipelines is always the same: the LLM itself.**

Silent failures. Untestable outputs. Unpredictable behavior.

Mellea is a Python library for writing *generative programs* — replacing brittle prompts and flaky agents
with structured, testable AI workflows built around type-annotated outputs, verifiable requirements, and automatic retries.

## Latest Projects
* [Mellea](https://github.com/generative-computing/mellea)
* [Granite Switch](https://github.com/generative-computing/granite-switch)
* [Mellea Skills Compiler](https://github.com/generative-computing/mellea-skills-compiler)
* [mellea-contribs](https://github.com/generative-computing/mellea-contribs)

## Getting Started

1. [Installation](https://docs.mellea.ai/getting-started/installation)
2. [Quick Start](https://docs.mellea.ai/getting-started/quickstart)
3. [API Reference](https://docs.mellea.ai/api-reference)

## Documentation

The general Mellea [Documentation](https://docs.mellea.ai/) is updated regularly.

**Learning Resources** provide in-depth educational material in comprehensive formats.

- [Mellea Examples](https://github.com/generative-computing/mellea/tree/main/docs/examples) - examples demonstrating Mellea's features.
- [Mellea Demos](https://github.com/generative-computing/mellea-demos) - A collection of Mellea demos.
- [Mellea Tutorials](https://github.com/generative-computing/mellea-tutorials) - Long-form workshops and tutorials for Mellea. The main Mellea repo keeps its examples short and focused; the notebooks here have more room to walk through end-to-end workflows, conference material, and exploratory demos.

## Other Resources
- [Mellea Website](https://mellea.ai/): More information about Mellea.
- [Blog](https://mellea.ai/blogs/): Deep-dives on agentic systems, generative computing, and the ideas behind Mellea.
- [Mellea on PyPI](https://pypi.org/project/mellea/): Install with `pip install mellea`.


## Discussion

If you have any questions, please visit our [discussions page](https://github.com/generative-computing/mellea/discussions).