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The TensorZero Gateway exposes runtime metrics through a Prometheus-compatible endpoint. This allows you to monitor gateway performance, track usage patterns, and set up alerting using standard Prometheus tooling. This endpoint provides operational metrics about the gateway itself. It’s not meant to replace TensorZero’s observability features. You can access the metrics by scraping the /metrics endpoint. The gateway currently exports the following metrics:
  • tensorzero_requests_total
  • tensorzero_inferences_total
The metrics include relevant labels such as endpoint, function_name, model_name, and metric_name. For example:
GET /metrics
# HELP tensorzero_requests_total Requests handled by TensorZero
# TYPE tensorzero_requests_total counter
tensorzero_requests_total{endpoint="inference",function_name="tensorzero::default",model_name="gpt-4o-mini-2024-07-18"} 1
tensorzero_requests_total{endpoint="feedback",metric_name="draft_accepted"} 10

# HELP tensorzero_inferences_total Inferences performed by TensorZero
# TYPE tensorzero_inferences_total counter
tensorzero_inferences_total{endpoint="inference",function_name="tensorzero::default",model_name="gpt-4o-mini-2024-07-18"} 1
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