# Required: model used by the built-in react and agent_team profiles.
OPENAI_API_KEY=
OPENAI_BASE_URL=
OPENAI_MODEL=

# Optional: benchmark judge/scorer endpoint. Falls back to OPENAI_* when empty.
# FrontierSearchBench's scorer takes JUDGE_API_KEY + JUDGE_BASE_URL as its
# OPENROUTER_* pair (key and URL always come from the same provider). It pins
# its own model slate, so JUDGE_MODEL does not apply to it.
JUDGE_API_KEY=
JUDGE_BASE_URL=
JUDGE_MODEL=

# Optional: benchmark dataset configuration.
# HF_TOKEN is required for gated datasets such as OfficeQA and APEX.
HF_TOKEN=
# OfficeQA corpus format: parsed (default) or raw. Raw mode requires downloading
# the dataset with --raw-pdfs.
OFFICEQA_DOC_MODE=parsed
# Store large benchmark datasets outside the repository when desired.
FRONTIER_AGENT_DATASETS_DIR=

# Optional: web search and page fetching.
SERPER_API_KEY=
SERPER_BASE_URL=https://google.serper.dev
JINA_API_KEY=
JINA_BASE_URL=https://r.jina.ai

# Optional: condense long fetched pages with an OpenAI-compatible endpoint.
# SUMMARY_LLM_BASE_URL must be the full chat-completions URL.
# Leave these empty and page extraction automatically falls back to the
# OPENAI_BASE_URL / OPENAI_MODEL above. Point them at a cheaper/faster model
# to keep whole scraped pages off your primary model's token bill.
SUMMARY_LLM_API_KEY=
SUMMARY_LLM_BASE_URL=
SUMMARY_LLM_MODEL_NAME=

# Optional: read images and image-only PDF pages. Recommended for OfficeQA;
# without it, image-based questions may lose points.
# READDOC_VISION_URL is an OpenAI-compatible base URL including /v1.
READDOC_VISION_URL=
READDOC_VISION_MODEL=
READDOC_VISION_KEY=

# Optional: OCR scanned PDFs via POST <url>/ocr.
READDOC_OCR_URL=
READDOC_OCR_KEY=