job 9a51b7e9-75ec-4c20-95e6-e57daf98e875

2026-06-03 09:11:33 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": [
    "https://cdn.discordapp.com/attachments/1497274794586931220/1511658581437579424/Screenshot_2026-06-03_at_5.11.00_AM.png?ex=6a214143&is=6a1fefc3&hm=433450b38a09f4a112a4bafcea5dd142701e379f371eda500f61e9e2ff9a6d5f&"
  ],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1497274794586931220",
  "text": "xenonfun in #donto: oh I don't have quite correct tools for this, told it to use sessions ,but that is pretty obsuse way."
}

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 294,
  "episodic_record_id": "02fb7889-0e30-41b3-9f9a-1ae34a9eec0c",
  "episodic_record_iri": "ctx:memory/episodic/8af5ff10-9729-4a10-a2eb-b0c634fab89a",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "56ba3cc9-598a-4c61-8411-7583bfb933d8",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1497274794586931220",
  "usage": null,
  "warnings": [
    "ocr failed: LLM HTTP 402: {\"error\":{\"message\":\"Insufficient credits. Add more using https://openrouter.ai/settings/credits\",\"code\":402}}",
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}