This directory contains the main documentation for the Python backend service in this repository.

• Overview — What the application does and why it exists
• Architecture — Application structure, runtime flow, and major components
• Setup — Installation, environment variables, and local development
• API Reference — Routes, request patterns, and response shape
• Integrations — Gemini, email, and third-party data connectors
• Database — PostgreSQL usage, schemas, and search capabilities
• Testing — How the project is tested and how to run tests
• Deployment — Render-style deployment considerations and runtime configuration

1. Install dependencies with pip install -r requirements.txt
2. Create a local environment file with the required variables
3. Start the app with uvicorn app.main:app --reload
4. Open the interactive documentation at /docs

This repository is a FastAPI-based backend that exposes APIs for data storage, retrieval, and automation. It is designed to support business workflows involving prospects, prompts, orders, queue operations, and integrations with external services.