SQLite Web: event

seq

Primary key. INTEGER

id

TEXT NOT NULL

kind

TEXT NOT NULL

ts

TEXT NOT NULL

actor

TEXT

subject_entity_ids

TEXT

payload

{"context_ref":{"dedupe_key":"ctx:6aaa40becc43","event_id":"evt_9efbed074833","kind":"episode_context_built"},"episode_id":"ep_0428417b0c44","model":"gpt-5.4-nano","prompt_version":"v9_agentic","proposal":{"assistant_reply":"Ugh\u2014my last attempt to pull and filter today\u2019s US top movers didn\u2019t produce results because the run couldn\u2019t find a dispatchable subgoal. Want me to try a different approach: I\u2019ll fetch the top movers list first, then apply your \u201cno penny/low-quality\u201d filter and attach the most relevant news catalysts for each?","confidence":0.74,"response_mode":"action_plan","workflow_goal":"Recover from failed market-research run by proposing a concrete alternate data-collection + filtering approach.","workflow_steps":[]},"reasoning_trace":{"steps":[{"decision":"finalize","finalize_reason":"Please send the actual user objective/question you want me to handle (e.g., what you want to know or what action you want taken).","iteration":1,"missing_facts":[],"reasoning":"No user request or question was provided beyond the meta-instruction to understand intent. There is nothing to investigate or act on yet.","tool_name":""}],"terminated_reason":"finalized","tool_calls":[]},"selection":{"confidence":0.74,"intent_summary":"User previously asked for today\u2019s US equity top movers filtered to \u201cgood companies\u201d (no penny/low-quality) with relevant news; an attempted market-research agent run failed due to a dispatch/subgoal issue.","needs_action":true,"reasoning_brief":"No user request or question was provided beyond the meta-instruction to understand intent. There is nothing to investigate or act on yet.","response_mode":"action_plan","selected_action_types":[]},"temperature":0.15,"thread_id":"thr_226b0c93ff552f68c1","trigger_event_id":null,"turn_id":null,"user_text":""}

TEXT NOT NULL

source_ref

TEXT

confidence

REAL (default 0.0

dedupe_key

TEXT

episode_id

TEXT

created_at

TEXT NOT NULL (default strftime('%Y-%m-%dT%H:%M:%fZ','now')

event_store.db — events

Update row 474977 in events