# Copy to .env and fill in. The loop runs WITHOUT a key using a mock reasoner.

# --- LLM provider ---
# LLM_PROVIDER: openai | gemini | anthropic  (auto-detected from whichever key is
# set if blank; OpenAI-compatible preferred). Provider w/ a missing key => mock.
LLM_PROVIDER=openai

# OpenAI-compatible endpoint — works with OpenAI, OpenRouter, Together, Groq,
# vLLM, Ollama, LM Studio, etc. Just point these three at any /chat/completions API:
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_API_KEY=
OPENAI_MODEL=gpt-4o-mini
OPENAI_JSON_MODE=1          # set 0 if the endpoint rejects response_format=json_object

# There is NO mock fallback. On HTTP 429 the loop WAITS this long and retries
# (honors Retry-After if present), so it grinds through tight rate limits.
LLM_RATELIMIT_WAIT_SECONDS=900
LLM_RATELIMIT_MAX_RETRIES=24

# Other providers:
GEMINI_API_KEY=
GEMINI_MODEL=gemini-2.5-flash
ANTHROPIC_API_KEY=
LLM_MODEL=claude-sonnet-4-6

# Scoring thresholds (design Phase 5)
PRIORITY_THRESHOLD=0.72
STANDARD_THRESHOLD=0.45

# --- Exa.ai news/web harvester ---
# Without a key, the news connector falls back to data/fixtures.json.
EXA_API_KEY=
EXA_ENABLED=1
# Hard ceilings to stay inside the free plan (~20,000 req/month). The connector
# refuses to call Exa once either cap is reached. Monthly count persists in
# output/state/exa_usage.json and resets at the start of each calendar month.
EXA_MONTHLY_REQUEST_CAP=1000
EXA_PER_RUN_REQUEST_CAP=25
EXA_RESULTS_PER_QUERY=5
EXA_LOOKBACK_DAYS=45
# Exa content category. "news" keeps out careers/marketing landing pages — the
# biggest signal-quality lever. "" disables category filtering.
EXA_CATEGORY=news
# Scope to the account's own domain (1) or broad-web news about it (0, default).
# With category=news, broad web finds actual coverage; domain scoping finds the
# company's own newsroom. Override per run: loop --no-domain-filter / --domain-filter
EXA_DOMAIN_FILTER=0
# Hosts to always exclude (comma-separated), e.g. talent.example.com,careers.example.com
EXA_EXCLUDE_DOMAINS=