eval/config.json

{
  "_comment": "WildTrace eval/judge config. Point base_url at ANY OpenAI-compatible /chat/completions endpoint and set model. api_key_env names the env var holding the bearer token. See methodology/EVAL_PROTOCOL.md for the exact protocol and the per-model context caps used in the paper.",

  "base_url": "https://api.openai.com/v1/chat/completions",
  "api_key_env": "API_KEY",
  "model": "your-model-id",
  "max_tokens": 32768,
  "send_temperature": true,
  "temperature": 0.1,
  "timeout_s": 900,

  "_caps_note": "Per-model context caps in CHARACTERS (en docs / cjk docs). A doc longer than the cap is out_of_context_scope (scored 0, not sent). If your model id is not listed here or in run_eval.py's DEFAULT_CAPS, set cap_key to 'default' (2.85M en / 850K cjk) or add your model's REAL native window. Do NOT inherit an older version's cap.",
  "cap_key": "default",
  "context_caps": {
    "default": {"en": 2850000, "cjk": 850000}
  },

  "_judges_note": "3 non-contestant judges, averaged. The paper used Claude-Sonnet-4.6, Qwen3.5, and Gemini-2.5-Flash. Chat endpoints are the default; for gateways exposing Gemini through native contents/candidates payloads, set api_type to gemini_native on that judge. api_key_env defaults to the top-level one if omitted. List one judge to grade with a single judge (the paper headline is the 3-judge average).",
  "judges": [
    {"name": "sonnet",       "base_url": "https://api.openai.com/v1/chat/completions", "model": "claude-sonnet-4-6", "api_key_env": "API_KEY", "max_tokens": 16384},
    {"name": "qwen3.5",      "base_url": "https://api.openai.com/v1/chat/completions", "model": "qwen3.5-plus",       "api_key_env": "API_KEY", "max_tokens": 16384},
    {"name": "gemini-flash", "base_url": "https://api.openai.com/v1/chat/completions", "model": "gemini-2.5-flash",  "api_key_env": "API_KEY", "max_tokens": 16384}
  ]
}