job e9f4ac9c-fb50-4849-b9ac-7ed50c8bb25e

2026-06-03 06:14:21 UTC · POST /memorize (async)

extracted facts 0 rows

Every ontological statement the LLM produced from the memorized text. Each one becomes a real donto_statement row in the substrate.

{
  "async": null,
  "extract": true,
  "facts": null,
  "holder": "agent:omega-bot",
  "images": [],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1349967527178145852",
  "text": "alluring_piglet_29962 in #resources: It's a good idea. I just assume at some point it will be built into the model API."
}

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 150,
  "episodic_record_id": "f26617b5-d3d6-4893-87e3-51dc93218467",
  "episodic_record_iri": "ctx:memory/episodic/6c8d674d-2937-4a41-b9a8-d4a1cb9f3bf3",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "ab4f2f1b-83a5-42f9-8284-4b4406e49510",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1349967527178145852",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}