inference/research
verifiedhigh · 0.94updated 2026-10-04

LMDeploy failed-request gauge

niche-lmdeploy-turbomind · gauge

Fields

id
metric-exposures/w3m-niche-lmdeploy-turbomind-lmdeploy-num-requests-failed
Metric name
lmdeploy:num_requests_failed
Metric type
gauge
Unit
requests
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.

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.

Cross-references