conversation_insights

1 row where conversation_id = "0f3976e2-e499-4d73-adf4-9a6e1dbca713"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: date (date), analyzed_at (date), participants (array), topics (array), needs_expressed (array), emotional_keywords (array)

conversation_id ▼ date title relationship_type participants topics arc_start arc_mid arc_end energy_direction jake_role key_moment needs_expressed connection_quality emotional_keywords analyzed_at prompt_tokens completion_tokens
0f3976e2-e499-4d73-adf4-9a6e1dbca713 2026-06-01 Plans To Take Will Home kids ["Jake", "Will"] ["family", "parenting"] 0.0 0.0 0.0 neutral speaker Jake invites his kids to join him in taking Will home, indicating a desire for family togetherness. ["connection"] 0.5 ["warmth", "connection"] 2026-06-01T06:01:01.861193 626 137

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE conversation_insights (
            conversation_id TEXT PRIMARY KEY,
            date TEXT NOT NULL,
            title TEXT,
            relationship_type TEXT,
            participants TEXT,       -- JSON array
            topics TEXT,             -- JSON array
            arc_start REAL,
            arc_mid REAL,
            arc_end REAL,
            energy_direction TEXT,
            jake_role TEXT,
            key_moment TEXT,
            needs_expressed TEXT,    -- JSON array
            connection_quality REAL,
            emotional_keywords TEXT, -- JSON array
            analyzed_at TEXT,
            prompt_tokens INTEGER,
            completion_tokens INTEGER,
            FOREIGN KEY (conversation_id) REFERENCES omi_conversations(id)
        );
CREATE INDEX idx_conv_insights_date ON conversation_insights(date);
CREATE INDEX idx_conv_insights_rel ON conversation_insights(relationship_type);