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to11 derives metrics from the GenAI spans it captures for each LLM call: latency, time-to-first-token, token usage, error rate, and finish reasons. These follow the OpenTelemetry GenAI semantic conventions. The names below are the conventional metric names; they also appear if you export your own telemetry alongside what to11 records. You view aggregate metrics in the to11 dashboard; dashboards over these signals are coming soon. There is no database to query directly. See Observe.

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Histogram metrics

These are aggregate metric instruments. The same signals are also recorded as per-request span attributes, and a few carry a different name on spans than as a metric — for example, the throughput metric gen_ai.client.output_tokens_per_second is recorded on individual spans as gen_ai.server.output_tokens_per_second. The metric and the span attribute are distinct artifacts.

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Counter metrics

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Dimensions

Metrics carry these dimensions, letting you break signals down by operation, provider, and model: The token usage metric additionally carries gen_ai.token.type (input or output).

Span attributes

The attributes recorded on each span.

Observe

Where you view your data.