firattamur/llmdantic
Structured Output Is All You Need!
This project helps Python developers integrate Large Language Models (LLMs) into their applications reliably. You define the expected input and output data using Pydantic, along with validation rules for the LLM's response. The system then takes your unstructured or semi-structured data, sends it to the LLM, and ensures the output conforms to your specified structure and rules. Developers building LLM-powered features will use this to guarantee predictable and robust data from AI models.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer building applications that rely on Large Language Models and need to guarantee structured, validated output from them.
Not ideal if you are looking for a no-code solution or a tool that doesn't require programming expertise.
Stars
60
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 19, 2024
Commits (30d)
0
Dependencies
3
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