# REQUIRED
# ------------------
# These environment variables are required for the app to work

# OpenAI API Key
OPENAI_API_KEY=

# Anthropic API Key
ANTHROPIC_API_KEY=

# Logfire Write Token
# Get yours at https://logfire.pydantic.dev → Settings → Write Tokens
LOGFIRE_TOKEN=

# Database URL
# For local development with Docker Compose:
DATABASE_URL=

# For production on Render, this will be auto-injected from the database service

# Render Workflows (the Q&A pipeline runs as a Workflows service)
# The gateway's POST /ask delegates to a Workflows service. Choose one setup:
#
# A) Fully local (no cloud, no API key) — run `render workflows dev` and set:
#      RENDER_USE_LOCAL_DEV=true   # SDK targets http://localhost:8120
#      WORKFLOW_SLUG=local         # any non-empty value (satisfies the gateway guard)
#
# B) Point local gateway at a deployed cloud workflow — set instead:
#      RENDER_API_KEY=...          # https://dashboard.render.com/settings#api-keys
#      WORKFLOW_SLUG=...           # slug of your deployed Workflows service
RENDER_USE_LOCAL_DEV=
RENDER_API_KEY=
WORKFLOW_SLUG=

# OPTIONAL
# ------------------
# These environment variables are not required for the app to work

# Logfire Read Token (optional - for fetching logs via API)
# Create a read-only token in your Logfire project → Settings → Read Tokens
LOGFIRE_READ_TOKEN=

# Pipeline Configuration
MAX_TOKENS=4000
TIMEOUT_SECONDS=30

# RAG Configuration
RAG_TOP_K=20  # Number of documents to retrieve (higher = more context, but slower)
SIMILARITY_THRESHOLD=0.3  # Cosine similarity threshold (0-1) for document retrieval (lower = more permissive)
VERIFICATION_THRESHOLD=0.30  # Similarity threshold (0-1) for claim verification (lower = more lenient)
EMBEDDING_MODEL=text-embedding-3-small
EMBEDDING_DIMENSIONS=1536

# Model Selection
ANSWER_MODEL=claude-sonnet-4-6
CLAIMS_MODEL=gpt-5.4-mini
ACCURACY_MODEL=claude-sonnet-4-6
EVAL_MODEL_OPENAI=gpt-5.4-mini
EVAL_MODEL_ANTHROPIC=claude-sonnet-4-6
QUERY_EXPANSION_MODEL=gpt-4.1-nano

# Performance
ENABLE_CACHING=true
LOG_LEVEL=INFO

# Deployment environment tag for Logfire traces.
# Leave as production when deployed; set to development locally so dev traces
# aren't grouped with production in Logfire.
# ENVIRONMENT=development

# CORS
# CORS_ORIGINS=["http://localhost:5173","http://localhost:3000"]