conversation_insights

1 row where conversation_id = "1446e277-c7ea-4416-9174-96128e8442f0"

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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
1446e277-c7ea-4416-9174-96128e8442f0 2026-02-03 Coordinating Daily Pickup Time kids ["User", "Speaker 1"] ["pickup coordination", "communication", "family logistics"] 0.0 0.0 0.5 neutral speaker I'll make sure the phone's in the bag. ["clarity", "connection", "to_be_heard"] 0.6 ["frustration", "concern", "relief", "responsibility", "connection"] 2026-03-28T06:47:57.819344 1058 156

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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);