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job 503044ab-d431-407f-be9f-fda47ce2f9ba

2026-06-03 07:48:47 UTC · POST /memorize (async)

← back to listraw JSONholder: agent:omega-bot
endpointPOST /memorize (async) status200
holderagent:omega-bot sessiondiscord:1349727923434815519:1474609483052355796
elapsed74 ms modelupstream:opencode
facts0 rows returned
prompt tokens completion tokens
total tokens error

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.

# subject predicate object polarity modality conf aperture

request body

{
  "async": null,
  "extract": true,
  "facts": null,
  "holder": "agent:omega-bot",
  "images": [],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1474609483052355796",
  "text": "xenonfun in #hardware: So ~21 Gb/s aggregate each direction"
}

response body

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 74,
  "episodic_record_id": "d8edcc86-1a1b-4900-93e4-1a67c3f92b9d",
  "episodic_record_iri": "ctx:memory/episodic/94115087-6245-4616-ba76-8be4a1ea788c",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "0197d0a9-3be9-4434-a6ef-f53ccc8e4a40",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1474609483052355796",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}