job 8dd841ac-e2f2-4da9-8820-0b47dcc53417

2026-06-03 17:34:03 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:1349727923434815519:1357571061109227651",
  "text": "xenonfun in #models: https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/"
}

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 670,
  "episodic_record_id": "ec5ed33e-5c70-40f9-bfe2-d5951a8f4d88",
  "episodic_record_iri": "ctx:memory/episodic/f5c9149b-008b-4220-812e-052a605027ed",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "0330e6eb-19c1-4231-abfd-1e4b2768af56",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1357571061109227651",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}