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job 73509df6-e594-4884-810b-dbb8810aeaec

2026-06-03 07:21:04 UTC · POST /memorize (async)

← back to listraw JSONholder: agent:omega-bot
endpointPOST /memorize (async) status200
holderagent:omega-bot sessiondiscord:1349727923434815519:1474609483052355796
elapsed211 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": [
    "https://cdn.discordapp.com/attachments/1474609483052355796/1511630772459798638/Screenshot_2026-06-03_at_3.20.44_AM.png?ex=6a21275c&is=6a1fd5dc&hm=e37c55166bca16c1978670a71a5a5edbf9da0fc584a2833b5db9ff4e34c43e0e&"
  ],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1474609483052355796",
  "text": "xenonfun in #hardware: hmm, not sure that quick benchmark was good indicator"
}

response body

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 211,
  "episodic_record_id": "28cbca11-71dd-4bed-bce2-8d40d25068d5",
  "episodic_record_iri": "ctx:memory/episodic/8cbb40b6-d51d-40d3-9983-2df8042f7005",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "cefc3cc0-c084-4b46-833e-14eaad6e7869",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1474609483052355796",
  "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"
  ]
}