feat(ai): Add metric to track cost calculation issues #5537
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Add a new counter metric `ai.cost_calculation` to track AI cost calculation outcomes, enabling monitoring of SDK bugs and manual instrumentation issues. The metric includes two tags: - status: calculation_positive, calculation_negative, or calculation_failed - origin: SDK name (from cardinality-protected list) or "manual" for manual instrumentation Negative calculations indicate token misalignment where cached or reasoning tokens exceed total tokens. This allows alerting when any SDK produces incorrect token counts. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add a new counter metric `ai.cost_calculation` to track AI cost calculation outcomes, enabling monitoring of SDK bugs and manual instrumentation issues. The metric includes two tags: - status: calculation_positive, calculation_negative, or calculation_failed - origin: SDK name (from cardinality-protected list) or "manual" for manual instrumentation Negative calculations indicate token misalignment where cached or reasoning tokens exceed total tokens. This allows alerting when any SDK produces incorrect token counts. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add a new counter metric
ai.cost_calculationto track AI cost calculation outcomes, enabling monitoring of SDK bugs and manual instrumentation issues.The metric includes two tags:
Negative calculations indicate token misalignment where cached or reasoning tokens exceed total tokens. This allows alerting when any SDK produces incorrect token counts.
Closes TET-1675
Co-Authored-By: Claude Sonnet 4.5 noreply@anthropic.com