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:d00955239a5b","event_id":"evt_9802aed1ad1c","kind":"episode_context_built"},"episode_id":"ep_0428417b0c44","model":"gpt-5.4-nano","prompt_version":"v9_agentic","proposal":{"assistant_reply":"Got it \u2014 I\u2019m starting a fresh market-research run to pull today\u2019s US top movers, filter out penny/low-quality names, and attach any relevant news catalysts.","confidence":0.9,"response_mode":"action_plan","workflow_goal":"Fetch live US top movers for today, filter out penny/low-quality stocks, and include associated news catalysts per ticker.","workflow_steps":[{"action_type":"start_agent_run","blocking":false,"depends_on":[],"followup":null,"params":{"brief":{"context_summary":"User approved a retry after the previous market-research agent run crashed. Need live market data + news. Task: (1) pull today\u2019s US top movers, (2) filter out penny/low-quality names, (3) attach relevant news catalysts per remaining ticker.","delivery_instructions":"Deliver the result to the user via reply","user_identity":"Omid","user_request":"get me a list of the top movers of US equity markets today, I only want the good companies and nothing penny. If there are news associated with it, even better"},"goal":"Retrieve today\u2019s US equity top movers, filter to \u201cgood\u201d non-penny companies, and attach relevant news catalysts per ticker.","rationale":"This requires live market data and news aggregation plus a quality filter, which is best handled by a multi-step agent run."},"rationale":"Live data + news + filtering requires multi-step research; agent run is appropriate.","step_id":"start_market_movers_agent_1","success_criteria":"Return a list of today\u2019s US top movers filtered to non-penny \u201cgood\u201d companies, with a brief news catalyst summary for each ticker.","tier":"T2"}]},"reasoning_trace":{"steps":[{"decision":"finalize","finalize_reason":"Please provide the actual user intent/question or the next task you want Angela to perform.","iteration":1,"missing_facts":[],"reasoning":"No user request or question is present in the latest message beyond meta-instructions and loop budget. There is nothing to answer or act on yet.","tool_name":""}],"terminated_reason":"finalized","tool_calls":[]},"selection":{"confidence":0.86,"intent_summary":"User approved retry after the previous market-research agent run crashed; they want today\u2019s US equity top movers filtered to \u201cgood companies\u201d (no penny/low-quality) with relevant news catalysts.","needs_action":true,"reasoning_brief":"No user request or question is present in the latest message beyond meta-instructions and loop budget. There is nothing to answer or act on yet.","response_mode":"action_plan","selected_action_types":["start_agent_run"]},"temperature":0.15,"thread_id":"thr_226b0c93ff552f68c1","trigger_event_id":"evt_4325730402c0","turn_id":"turn_evt_4325730402c0","user_text":"yes"}

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 465878 in events