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llm-basics

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Architecture Python

LLM Factory Examples

This repository contains simple examples showing how to use the OpenAI API to communicate with LLM Factory Endpoints for various AI tasks.

Setup Instructions

  1. Retrieve your API key from LLM Factory: https://llm-factory.ai.uky.edu/api-keys
  2. Copy config.ini.example to config.ini and add your API key to the openai_api_key field
  3. Choose the model ID you would like to use

Example Scripts

  • chat_completions_test.py – Chat with a language model
  • embeddings_test.py – Create vector embeddings from text
  • transcriptions_test.py – Generate transcriptions from audio files
  • vision_test.py – Process images with multimodal models
  • tools_test.py – Use tool-augmented language models
  • simple_rag.py – Implement a basic RAG (Retrieval-Augmented Generation) system

Run each script after configuring to test different capabilities of the LLM Factory API.

Imported from gh:Kentucky-Open-Science/llm-basics. Source last updated 2025-05-27. Synced 2026-07-27.