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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.

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tensorzero_inference_latency_overhead_seconds

This metric tracks the latency overhead introduced by TensorZero on inference requests. It measures the total request duration minus the time spent waiting for external model provider HTTP requests. This is useful for understanding how much latency TensorZero adds to your inference requests, independently of model provider latency. This metric is reported as a histogram with configurable buckets (default: [0.001, 0.01, 0.1]). You can customize the buckets in your configuration file using gateway.metrics.tensorzero_inference_latency_overhead_seconds_buckets:
tensorzero.toml
[gateway.metrics]
tensorzero_inference_latency_overhead_seconds_buckets = [0.001, 0.005, 0.01, 0.05, 0.1]
GET /metrics
# HELP tensorzero_inference_latency_overhead_seconds Overhead of TensorZero on HTTP requests
# TYPE tensorzero_inference_latency_overhead_seconds histogram
tensorzero_inference_latency_overhead_seconds_bucket{function_name="my_function",variant_name="my_variant",le="0.001"} 0
tensorzero_inference_latency_overhead_seconds_bucket{function_name="my_function",variant_name="my_variant",le="0.005"} 2
tensorzero_inference_latency_overhead_seconds_bucket{function_name="my_function",variant_name="my_variant",le="0.01"} 5
tensorzero_inference_latency_overhead_seconds_bucket{function_name="my_function",variant_name="my_variant",le="0.05"} 8
tensorzero_inference_latency_overhead_seconds_bucket{function_name="my_function",variant_name="my_variant",le="0.1"} 10
tensorzero_inference_latency_overhead_seconds_bucket{function_name="my_function",variant_name="my_variant",le="+Inf"} 10
tensorzero_inference_latency_overhead_seconds_sum{function_name="my_function",variant_name="my_variant"} 0.025
tensorzero_inference_latency_overhead_seconds_count{function_name="my_function",variant_name="my_variant"} 10

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tensorzero_inferences_total

This metric counts the total number of inferences performed by TensorZero.
GET /metrics
# HELP tensorzero_inferences_total Inferences performed by TensorZero
# TYPE tensorzero_inferences_total counter
tensorzero_inferences_total{endpoint="inference",function_name="my_function",model_name="gpt-4o-mini-2024-07-18"} 1

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tensorzero_requests_total

This metric counts the total number of requests handled by TensorZero.
GET /metrics
# HELP tensorzero_requests_total Requests handled by TensorZero
# TYPE tensorzero_requests_total counter
tensorzero_requests_total{endpoint="inference",function_name="my_function",model_name="gpt-4o-mini-2024-07-18"} 1
tensorzero_requests_total{endpoint="feedback",metric_name="draft_accepted"} 10