.env.example

# Copy to .env and fill in. Only SCREENING_SERVICE_API_KEY is required;
# the rest have sensible defaults for a local Ollama setup.

# Auth on OUR endpoint — the key clients must send in the x-api-key header (REQUIRED).
SCREENING_SERVICE_API_KEY=change-me

# Model provider — any OpenAI-compatible endpoint. Defaults suit local Ollama.
SCREENING_LLM_BASE_URL=http://localhost:11434/v1
SCREENING_LLM_API_KEY=ollama
SCREENING_LLM_MODEL=qwen2.5:3b
SCREENING_LLM_TIMEOUT_S=60

# Self-hosted Gemma-4 endpoint the guardrail calls.
# The default points at a local vLLM. In any deployed environment this MUST be
# set to the detector's internal FQDN (Fully Qualified Domain Name)
SCREENING_LLM_GUARDRAIL_BASE_URL=http://localhost:8001/v1
SCREENING_LLM_GUARDRAIL_MODEL=google/gemma-4-31B-it
# The endpoint scales to zero, so the first request after an idle period
# waits for a GPU to boot and load weights (~13 min). The default 60s
# timeout is too short for that and would make the request fail before
# the model is even ready — 15 min is ample enough to survive the activation
# window
SCREENING_LLM_GUARDRAIL_TIMEOUT_S=900

# Confident AI (DeepEval online evals). 
CONFIDENT_API_KEY=
CONFIDENT_BASE_URL=https://eu.api.confident-ai.com