inference/research
verifiedhigh · 0.94updated 2026-10-05

LMDeploy backend-config info metric

niche-lmdeploy-turbomind · unknown

Fields

id
metric-exposures/w3m-niche-lmdeploy-turbomind-lmdeploy-backend-config
Metric name
lmdeploy:backend_config
Metric type
unknown
Unit
1
Exposure
prometheus
Endpoint
:23333/metrics
Labels
model_nameengine
Enabled by default
yes
notes
InternLM/lmdeploy main, PrometheusStatLogger in lmdeploy/metrics/loggers.py, read 2026-10-04. On by default and requires NO flag: the endpoint is simply available at the API server port (23333 by default). Label keys are model_name and engine on every metric, where engine carries the dp_rank. Bucket construction reuses vLLM's build_buckets / build_1_2_5_buckets idiom. prometheus_client.Info, set once at construction. TYPE CORRECTED 2026-10-05: prometheus_client Info() is not one of the six metric_type values in schemas/metric_exposure.schema.json (counter/gauge/histogram/summary/log-only/unknown), so 'unknown' is the honest value rather than a near-synonym. The record's own notes already stated the constructor is prometheus_client.Info; the metric_type field now agrees with them.

Notes

InternLM/lmdeploy main, PrometheusStatLogger in lmdeploy/metrics/loggers.py, read 2026-10-04. On by default and requires NO flag: the endpoint is simply available at the API server port (23333 by default). Label keys are model_name and engine on every metric, where engine carries the dp_rank. Bucket construction reuses vLLM's build_buckets / build_1_2_5_buckets idiom. prometheus_client.Info, set once at construction. TYPE CORRECTED 2026-10-05: prometheus_client Info() is not one of the six metric_type values in schemas/metric_exposure.schema.json (counter/gauge/histogram/summary/log-only/unknown), so 'unknown' is the honest value rather than a near-synonym. The record's own notes already stated the constructor is prometheus_client.Info; the metric_type field now agrees with them.

Cross-references