asclepius
Grade Real Models
"Grade the real models" mode (FEAT-1 / PRD §A): swap the task's A/B pair to two real frontier answers (blinded, source='baseline', truly-random slots) via the assembly ladder (§A3 + §A7):
- two-frontier (one OpenAI + one Anthropic) is the strong default;
- on a genuine single-provider failure it reverts to the OLD Anthropic-only method so annotation continues (tagged legacy_fallback, counted);
- a sustained high fallback rate is treated as an incident → 503 needs_baseline
- admin alert, never mostly-legacy data shipped silently;
- V4 real cases stay Anthropic-only unless ASCLEPIUS_TWO_FRONTIER_V4 is on (§A7);
- NEVER a gold stand-in for a failed model answer.
On submission a per-model failure record is computed.
post/api/asclepius/tasks/{task_id}/grade-real-models
Request
- Base URLhttps://app.archangelhealth.ai (the document declares no server; this is the origin it was published from)
- URLhttps://app.archangelhealth.ai/api/asclepius/tasks/{task_id}/grade-real-models
- Authnone declared
Path parameters
task_idstring required
Headers
authorizationstring nullable
Response
Successful Response
unknown required
Changes
No recorded changes to this operation across all 1 revision of this API.