# -- InvoiceGuard Environment Variables --------------------------
#
# Copy this file to .env and fill in your values:
#   cp .env.example .env
#
# These are read by inference.py via python-dotenv.
# Never commit .env to git (it's already in .gitignore).
# ----------------------------------------------------------------

# 1. API_BASE_URL -- The LLM API endpoint.
#    OpenAI:         https://api.openai.com/v1
#    HF Inference:   https://router.huggingface.co/v1
#    Local/custom:   http://localhost:8080/v1
API_BASE_URL=https://api.openai.com/v1

# 2. MODEL_NAME -- The model identifier for inference.
#    OpenAI:  gpt-4.1-mini, gpt-5.4-mini, etc.
#    HF:     Qwen/Qwen2.5-72B-Instruct, meta-llama/Llama-3.1-8B-Instruct, etc.
MODEL_NAME=gpt-4.1-mini

# 3. HF_TOKEN -- Your Hugging Face / API key.
#    This is the PRIMARY key used by the inference script for LLM calls.
#    For OpenAI models: put your OpenAI key here (sk-...)
#    For HF models: put your HF token here (hf_...)
#    Get HF token at: https://huggingface.co/settings/tokens
HF_TOKEN=

# 5. LOCAL_IMAGE_NAME -- Docker image name for containerized mode.
#    Only needed if running inference against a Docker container
#    instead of the local environment directly.
#    Build first: docker build -t invoiceguard .
# LOCAL_IMAGE_NAME=invoiceguard