flatypus/flowchat
A Python library for building clean and efficient multi-step prompt chains.
This tool helps developers who are building applications powered by large language models (LLMs) to manage complex, multi-turn conversations or data processing workflows. You can define a sequence of prompts and actions, feeding the output from one step as input to the next. It allows you to build robust LLM applications by orchestrating multiple interactions into a single, understandable flow.
No commits in the last 6 months. Available on PyPI.
Use this if you are a developer building an application that needs to perform a series of steps with an LLM, like extracting specific data, generating content based on prior responses, or chaining different AI tasks together.
Not ideal if you are looking for a no-code solution or if your LLM interactions are simple, one-off prompts that don't require conditional logic or sequential processing.
Stars
25
Forks
2
Language
Python
License
MIT
Category
Last pushed
Apr 22, 2025
Commits (30d)
0
Dependencies
3
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