```json { "table_name": "nia_message_llm_calls", "table_type_tags": [ {"tag": "event", "confidence": 0.85}, {"tag": "path", "confidence": 0.20} ], "primary_type": "event", "insufficient_evidence": false, "entity": { "columns": ["message_id"], "unique_per_row": false }, "time_axis": { "columns": ["id"], "kind": "sequence" }, "reasoning": "The entity message_id repeats (RPUV 7.34, Uniqueness 0.136) along a sequence axis (id with Uniqueness 1.000, Monotonicity 1.000). Each row records an LLM API call occurrence — a message invokes the LLM multiple times with varying tokens_in/tokens_out/cost_usd/latency_ms values. The rows are bare occurrences to count and analyze (call volume, token usage, cost); replaying them does not reconstruct a meaningful message state (no cumulative balance or tracked holding). The sibling table nia_messages likely defines the messages this table references, reinforcing that message_id is an actor whose calls this table logs: event." } ```