Prompt Iterator

Prompt Iterator is a Python-based project designed to facilitate the creation, management, and execution of prompts using large language models (LLMs). The project provides a modular architecture with core configuration, logging, LLM connection handling, prompt models, and services for prompt shooting and application monitoring. It also includes a user interface built with Streamlit for interactive usage. Tool uses AzureOpenai models

Features

• Modular design with clear separation of concerns
• Configuration management and logging setup
• LLM connection handling for prompt execution
• Prompt models for structured prompt management
• Services for prompt shooting and application monitoring
• Streamlit-based UI for easy interaction

Project Structure

• app/ - Main application package
  • core/ - Core utilities including configuration and logging
  • llm/ - LLM connection and interaction logic
  • models/ - Data models for prompts
  • services/ - Business logic for prompt itaration and monitoring app
  • ui/ - User interface components using Streamlit
• README.md - Project overview and documentation
• .gitignore - Git ignore rules
• .python-version - Python version specification
• pyproject.toml - Project metadata and dependencies
• uv.lock - Lock file for dependencies

Installation

1. Clone the repository:

   git clone <repository-url>
   cd prompt-iterator

2. Install dependencies using uv:

   uv install
   uv sync

3. Activate a virtual environment:

   source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`

Usage

Run the Streamlit UI to interact with the prompt iterator application:

streamlit run app/main.py