job 374a0a70-6e70-4c86-a9b5-4ea140e4fffe

2026-06-03 06:49:16 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/1462240469864943626/1511622768318222437/Screenshot_2026-06-03_at_2.48.37_AM.png?ex=6a211fe8&is=6a1fce68&hm=e3e4f2567edc36ee274befbe96b8e86f2eb35c6a7d1bfc942f46cf94a08fb1ae&"
  ],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1462240469864943626",
  "text": "xenonfun in #safiersemantics: .NET builds and test so much faster (tho unfair this thing is <400 lines)"
}

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 330,
  "episodic_record_id": "5116a886-4c31-4bae-bda1-9d47f0c57ac1",
  "episodic_record_iri": "ctx:memory/episodic/7e63f39c-6dc7-41fa-8e4c-c13e6cd86e1a",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "629e8328-a542-4ff2-ba5e-f028ddb3566d",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1462240469864943626",
  "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"
  ]
}