REPL: Reasoning Explanation
Review query provenance and multi-dimensional execution traces.
.explain
Prints the execution and reasoning summary trace from the last executed SQL statement.
- Syntax:
.explain - Output Sections:
- Provenance: Tracing modes (Boolean, Probability, Polynomial).
- Datalog Rules: Active logic filtering constraints.
- AI-Tables Catalog: Registered ONNX graphs and active operators.
- Pareto Frontier: Model candidate evaluations based on latency, accuracy, and cost metrics.
- Device Pool: Current core/acceleration engine status.
- Anomalies: Verification details of any semantic anomalies flagged by rules.
Example
sql
anam> .explain
═══════════════════════════════════════════════════════════
AnamDB Reasoning Trace
═══════════════════════════════════════════════════════════
─── Provenance ─────────────────────────────────────────
Mode: Polynomial
Last query: 1 batch(es), 42 rows
─── Datalog Rules ──────────────────────────────────────
• high_risk ← fraud_prob > 0.90 AND amount > 10000
─── AI-Tables Catalog ──────────────────────────────────
• fraud_detector v1.0.0 [ONNX] — latency: 5.0ms, accuracy: 0.95
• fraud_fast v1.0.0 [ONNX] — latency: 0.5ms, accuracy: 0.75
─── Pareto Frontier ────────────────────────────────────
★ frontier fraud_fast v1.0.0: latency=0.500ms, accuracy=0.75, cost=0.0005
★ frontier fraud_detector v1.0.0: latency=5.000ms, accuracy=0.95, cost=0.0050
─── Device Pool ────────────────────────────────────────
• Device pool summary: 8 CPU cores (1.0x), Metal Core (10.0x)
═══════════════════════════════════════════════════════════
