.env.example

# MedDaaS Environment Configuration
# Copy this file to .env and fill in your values

# Project Settings
PROJECT_NAME="MedDaaS - Medical Data as a Service"
VERSION="0.1.0"
API_V1_PREFIX="/api/v1"

# LLM API Keys (at least one required for report comparison)
GEMINI_API_KEY=your_gemini_api_key_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
OPENAI_API_KEY=your_openai_api_key_here
DEEPSEEK_API_KEY=your_deepseek_api_key_here

# LLM Configuration (optional - SDK auto-detects if not set)
# Provider options: gemini, anthropic, openai, deepseek
LLM_PROVIDER=gemini

# Model name (provider-specific, uses provider default if not set)
# Gemini models: gemini-1.5-pro, gemini-1.5-flash, gemini-2.0-flash-exp
# Anthropic models: claude-3-5-sonnet-20241022, claude-3-opus-20240229, claude-3-haiku-20240307
# OpenAI models: gpt-4o, gpt-4o-mini, gpt-4-turbo
# DeepSeek models: deepseek-chat, deepseek-coder
LLM_MODEL=gemini-2.0-flash-exp

# Data Configuration
GROUND_TRUTH_JSON=data/reports/all.json

# Database Configuration (PostgreSQL)
# The application will work without a database (using in-memory storage),
# but for production use, configure PostgreSQL for data persistence.
DATABASE_HOST=localhost
DATABASE_PORT=5432
DATABASE_USER=meddaas
DATABASE_PASSWORD=your_secure_password_here
DATABASE_NAME=meddaas

# To set up PostgreSQL with Docker:
# 1. Copy this file to .env and set POSTGRES_PASSWORD
# 2. Run: docker compose up -d
# 3. The database will be available at localhost:5432
#
# To set up PostgreSQL manually:
# 1. Install PostgreSQL: https://www.postgresql.org/download/
# 2. Create the database and user:
#    CREATE USER meddaas WITH PASSWORD 'your_secure_password_here';
#    CREATE DATABASE meddaas OWNER meddaas;
#    GRANT ALL PRIVILEGES ON DATABASE meddaas TO meddaas;

RAG_EMBEDDINGS_MODEL=nomic-embed-text