griptape-flow

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Python framework for building LLM workflows and pipelines with memory, rules, and chain of thought reasoning.

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# griptape-flow

[![Tests](https://github.com/griptape-ai/griptape-flow/actions/workflows/tests.yml/badge.svg)](https://github.com/griptape-ai/griptape-flow/actions/workflows/tests.yml)
[![PyPI Version](https://img.shields.io/pypi/v/griptape-flow.svg)](https://pypi.python.org/pypi/griptape-flow)
[![Docs](https://readthedocs.org/projects/griptape/badge/)](https://griptape.readthedocs.io/en/latest/griptape_flow/)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/gitbucket/gitbucket/blob/master/LICENSE)
[![Griptape Discord](https://dcbadge.vercel.app/api/server/gnWRz88eym?compact=true&style=flat)](https://discord.gg/gnWRz88eym)

**griptape-flow** is a Python framework for creating workflow DAGs and pipelines that use large language models (LLMs) such as GPT, Claude, Titan, and Cohere.

**griptape-flow** is part of [griptape](https://github.com/griptape-ai/griptape), a modular Python framework for integrating data, APIs, tools, memory, and chain of thought reasoning into LLMs.

## Documentation

Please refer to [Griptape Docs](https://griptape.readthedocs.io) for:

- Getting started guides. 
- Core concepts and design overviews.
- Examples.
- Contribution guidelines.

## License

griptape-flow is available under the Apache 2.0 License.

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