# Standard OpenEnv / inference variables
API_BASE_URL=https://integrate.api.nvidia.com/v1
MODEL_NAME=meta/llama-3.3-70b-instruct
HF_TOKEN=
OPENAI_API_KEY=
API_KEY=
LOCAL_IMAGE_NAME=gov-workflow-openenv:latest
MAX_STEPS=80
SUCCESS_SCORE_THRESHOLD=0.50

# Provider-specific API base URLs (used by frontend simulation bridge)
OPENAI_API_BASE_URL=https://api.openai.com/v1
NVIDIA_API_BASE_URL=https://integrate.api.nvidia.com/v1

# Optional fallback model lists (comma-separated)
MODEL_FALLBACKS=
NVIDIA_MODEL_FALLBACKS=

# NVIDIA Build API (fallback / internal)
# Copy this file to .env and fill in your values
# Get your key at: https://build.nvidia.com/explore/discover
NVIDIA_API_KEY=nvapi-your-key-here
NVIDIA_API_KEY_2=

# LLM Model Selection
NVIDIA_MODEL=meta/llama-3.3-70b-instruct

# Server Settings
SERVER_HOST=0.0.0.0
SERVER_PORT=7860
SERVER_LOG_LEVEL=info
SERVER_WORKERS=1

# Environment Settings
ENV_DEFAULT_TASK_ID=district_backlog_easy
ENV_DEFAULT_SEED=11
ENV_MAX_SESSIONS=100
ENV_MAX_STEPS_PER_EPISODE=500

# API Throttling
LLM_CALL_DELAY=12.0

# Persistence (SQLite + filesystem)
# For Hugging Face persistent storage, set OPENENV_DATA_DIR=/data/openenv_rl
STORAGE_ENABLED=true
OPENENV_DATA_DIR=

# Optional CSV list of extra model directories to scan for RL checkpoints.
# Example:
# OPENENV_MODEL_SEARCH_DIRS=/data/openenv_rl/results/best_model/phase1,/data/openenv_rl/results/best_model/phase2
OPENENV_MODEL_SEARCH_DIRS=