citiususc/smarty-gpt
A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
This tool helps developers who integrate Large Language Models (LLMs) into their applications to manage and apply specific behaviors easily. It acts as a layer between your code and various LLMs (like ChatGPT or GPT-4), allowing you to define input prompts and contexts that guide the LLM's responses. The output is a biased or pre-conditioned response from the LLM based on your configured prompts, ideal for building applications that require consistent or domain-specific LLM interactions.
140 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer looking for a streamlined way to apply consistent prompts and contexts to different LLMs within your applications, without needing to manage complex prompt engineering directly in your code.
Not ideal if you are an end-user without programming experience, as this is a library designed for software development and integration.
Stars
140
Forks
21
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jun 11, 2025
Commits (30d)
0
Dependencies
9
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