.env.example

# ── OpenCloud-SRE Environment Variables ──────────────────────────────────────
#
# Copy this file to .env and fill in your values.
#   cp .env.example .env
#
# The system is fully open-source and vendor-agnostic.
# No OpenAI key is required.

# ── Hugging Face (required for LLM-assisted generation & slow-path evaluation)
# Get your token at: https://huggingface.co/settings/tokens
# Required for:
#   - training/sft/dataset_generator.py  (meta-llama/Meta-Llama-3-70B-Instruct)
#   - evaluation/evaluator.py            (meta-llama/Meta-Llama-3-8B-Instruct)
#   - training/rl/grpo_trainer.py        (model downloads via Unsloth)
HF_TOKEN=hf_your_token_here

# ── Weights & Biases (optional — for reward component logging)
# Get your key at: https://wandb.ai/authorize
WANDB_API_KEY=your_wandb_key_here