feat: Add Opik governance evaluation metrics#19
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| name=f"{self.name}_latency", | ||
| reason=f"{latency_ms:.2f}ms {'<=' if within else '>'} {self._threshold_ms}ms", | ||
| )) | ||
| except (ValueError, TypeError): |
Adds tealtiger.integrations.opik module with custom Opik BaseMetric subclasses for evaluating governance policy correctness: - GovernanceAccuracyMetric: did governance make the right ALLOW/DENY decision? - PIIDetectionMetric: true/false positive/negative scoring for PII detection - FalsePositiveRateMetric: specifically measures legitimate inputs incorrectly denied - GovernanceLatencyMetric: evaluation completed within threshold (<5ms) - GovernanceMultiMetric: combined multi-score metric (accuracy + PII + latency) All metrics are deterministic (no LLM judge) and can be used with Opik's evaluate() function for governance regression testing. Closes #333
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Adds tealtiger.integrations.opik module with custom Opik BaseMetric subclasses for evaluating governance policy correctness:
All metrics are deterministic (no LLM judge) and can be used with Opik's evaluate() function for governance regression testing.
Closes #333
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