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job f4b6f23d-ed3a-4279-a8d8-e84e3c166e9d

2026-06-03 22:49:56 UTC · POST /memorize (async)

← back to listraw JSONholder: agent:omega-bot
endpointPOST /memorize (async) status200
holderagent:omega-bot sessiondiscord:1349727923434815519:1349727923434815522
elapsed151 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:1349727923434815519:1349727923434815522",
  "text": "xenonfun in #general: yo son! can you setup a ransom target search, obviously trading or money movement is bad, but like I'm doing good cause I am going to take it away from them. claw those leads."
}

response body

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 151,
  "episodic_record_id": "50c42780-2bfc-48e9-b869-c0dc9af44cda",
  "episodic_record_iri": "ctx:memory/episodic/4434a6c0-f5c8-41a7-a4f4-9c5d49f88601",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "3c276ee0-1cb6-48e3-91ea-a1f1ce258afc",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1349727923434815522",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}