dzhsurf/flexiagent
FlexiAgent is a simple and easy-to-use framework for creating LLM agents. The agent supports structured output and includes built-in practical agents such as a text2sql agent, allowing for quick deployment in applications.
This project helps Python developers build sophisticated AI assistants by providing a framework to create custom Large Language Model (LLM) agents. You define the agent's steps and logic using Python code, feeding in user queries or data, and the agent produces structured outputs like extracted numbers, computed results, or database queries. It's designed for software engineers and data scientists looking to integrate custom AI behaviors into applications.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer needing to build custom LLM-powered agents with structured output and multi-step logic, or to quickly deploy agents like those that translate natural language to SQL.
Not ideal if you are looking for a no-code solution or a pre-built, general-purpose chatbot without any programming.
Stars
7
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 07, 2024
Commits (30d)
0
Dependencies
6
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