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job d2f3ab3a-fa81-41aa-839e-3dee145a1280

2026-06-03 14:01:49 UTC · POST /memorize (async)

← back to listraw JSONholder: agent:omega-bot
endpointPOST /memorize (async) status200
holderagent:omega-bot sessiondiscord:1349727923434815519:1443660521126498334
elapsed782 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:1349727923434815519:1443660521126498334",
  "text": "foxhop. in #unturf: i think I worked out the kinks we discovered <@187062569415081984>"
}

response body

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 782,
  "episodic_record_id": "1787d393-8ff3-4280-8ce7-e8ee3eb8d9cb",
  "episodic_record_iri": "ctx:memory/episodic/2a61c28d-bf5c-412d-9ec4-8333d8492658",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "41f73c04-9b8f-4cea-83de-91c427009e8c",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1443660521126498334",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}