Metrics Catalog
Every dynamo_* metric emitted by the frontend, backend workers, and router — name, type, and meaning.
Dynamo exposes metrics in Prometheus exposition format at the /metrics HTTP endpoint. All Dynamo-generated metrics use the dynamo_* prefix and carry the hierarchy labels documented in Metric Labels. This page is the field catalog; for setup and dashboards see the Metrics guide.
Metric types
The type on each field below is a Prometheus metric type:
- counter — a cumulative value that only increases (or resets to zero on restart), e.g. total requests.
- gauge — a single value that can go up or down, e.g. in-flight requests.
- histogram — samples observations into configurable buckets and exposes
_bucket,_sum, and_countseries, e.g. request duration. Labeled histograms/counters/gauges register a metric family, not one series.
Labeled metrics (HistogramVec, CounterVec, GaugeVec) register a metric family, not individual time series. A series for a given label combination appears at /metrics only after the first request that populates it. A freshly-started process therefore shows empty families until the first matching request — this is expected Prometheus client behavior, not a missing metric.
Where each family is exposed
Backend workers expose dynamo_component_* only when DYN_SYSTEM_PORT is set (disabled by default; the Kubernetes operator typically sets 9090, local examples use 8081). See Environment Variables.
Engine pass-through metrics (vllm:*, sglang:*, trtllm_*) are emitted by the backend engines themselves and are cataloged separately — see Metrics Comparison. NIXL transfer metrics are exposed on their own port and owned by the upstream NIXL project.
Frontend metrics
Emitted by the HTTP frontend at /metrics on port 8000 by default. Most carry a model label.
Requests currently being handled by the frontend, from HTTP handler entry until the response stream completes. The top-level in-flight count with no stage breakdown.
Requests currently in a given frontend pipeline stage. Labeled by stage and phase — see Stage values and Phase values.
Inflight requests. Kept for backward compatibility; prefer dynamo_frontend_active_requests, which has identical semantics with a clearer name.
Requests in the HTTP processing queue. Kept for backward compatibility; the “waiting for first token” window is now the sum of dynamo_frontend_stage_requests across the preprocess, route, and dispatch stages.
Number of disconnected clients.
Input sequence length in tokens.
Cached tokens (prefix cache hits) per request.
L1 tokenizer prefix-cache hits across all models. One outcome is recorded per encode operation or batch item.
L1 tokenizer prefix-cache misses across all models.
Tokens returned from the L1 tokenizer prefix cache. Labeled by model.
Tokens freshly encoded after an L1 tokenizer cache lookup. Labeled by model.
Use this PromQL expression to calculate the five-minute token reuse ratio by model:
The ratio is defined only when the model has an active L1 cache and observed tokens. Partial hits increment both token counters. The counters remain zero when DYN_TOKENIZER_CACHE=0, encoding fails, or the tokenizer has no registered special-token boundaries.
Inter-token latency in seconds.
Output sequence length in tokens.
Total output tokens generated.
End-to-end LLM request duration in seconds.
Total LLM requests.
Time to first token in seconds.
Migration
Counters for request migration, the mechanism that continues in-flight requests on a healthy worker when the original worker fails. See Request Migration Architecture for the internals.
Total request migrations due to worker unavailability. Labeled by model and migration_type (new_request for an initial connection failure, ongoing_request for a mid-stream disconnection).
Total times migration was disabled for a request because its sequence length exceeded --migration-max-seq-len. A rising value may indicate the limit needs adjustment. Labeled by model.
Cancellation and rejection
Counters for requests that end early: cancellations (the client or frontend aborts an in-flight request) and rejections (the Frontend sheds load with HTTP 529 by default when all workers are busy). The worker-side counterparts are under Component metrics.
Total request cancellations detected by the frontend (client disconnect or stream close). Labeled by model, endpoint (the API route — chat_completions, completions, embeddings, …), and request_type (unary or stream).
Total requests rejected because all workers were busy (surfaced to the client as HTTP 529 by default). Incremented when the router returns ResourceExhausted. Labeled by model and endpoint (the API route).
Per-worker load and timing gauges
dynamo_frontend_worker_* gauges appear once workers register and begin serving. They live on the frontend’s local registry (not component-scoped) and do not carry dynamo_namespace or dynamo_component labels. Frontend-only — not available on the standalone router. Labeled by worker_id, dp_rank, and worker_type.
Active KV cache decode blocks per worker.
Active prefill tokens queued per worker.
Last observed time to first token per worker, in seconds.
Last observed input sequence length per worker.
Last observed inter-token latency per worker, in seconds.
Model configuration metrics
dynamo_frontend_model_* gauges are populated from worker backend registration and all carry a model label. When multiple workers register the same model name, only the first instance’s configuration is recorded.
Total KV blocks available for a worker serving the model.
Maximum number of sequences for a worker serving the model.
Maximum number of batched tokens for a worker serving the model.
Maximum context length for a worker serving the model. Sourced from the Model Deployment Card.
KV cache block size for a worker serving the model. Sourced from the Model Deployment Card.
Request migration limit for a worker serving the model. Sourced from the Model Deployment Card.
Component metrics
Emitted by backend workers (python -m dynamo.vllm, python -m dynamo.sglang, etc.) at /metrics on DYN_SYSTEM_PORT. All carry the hierarchy labels (dynamo_namespace, dynamo_component, dynamo_endpoint) — see Runtime-injected labels.
Requests currently being processed by the component.
Total bytes received in requests.
Request processing time in seconds.
Total requests processed.
Total errors encountered while handling a request. Labeled by error_type — see Component error types.
Total bytes sent in responses.
DistributedRuntime uptime. Updated before each Prometheus scrape on both the frontend and the system-status server.
Total requests cancelled by the work handler. Carries the hierarchy labels. Records cancellation signals received by the worker, not whether the engine actually aborted — deduplicated so a control message plus a socket close for the same request counts once. See Request Cancellation Architecture.
The following worker-side gauges and counter appear only when a hard concurrency cap is set with --engine-request-limit; see Worker-Side Request Admission.
Cumulative requests rejected because the worker was at capacity (engine in-flight limit and Dynamo queue both full).
Current requests being handled by the engine.
Current requests queued in Dynamo, not yet in the engine.
Specialized components expose additional families under their own prefix, e.g. dynamo_preprocessor_* for preprocessor components.
Router metrics
The router exposes metrics for routing decisions and overhead. Not every metric appears in every deployment — see Availability by configuration.
Router request metrics
dynamo_component_router_* histograms and counters for aggregate request-level statistics. On the frontend, exposed at /metrics on the HTTP port; on the standalone router, exposed on DYN_SYSTEM_PORT. Populated per-request when --router-mode kv is active; registered with zero values in non-KV modes.
Requests admitted by the router scheduler.
Total requests processed by the router.
Time to first token in seconds.
Average inter-token latency in seconds.
Input sequence length in tokens.
Output sequence length in tokens.
Predicted KV cache hit rate at routing time (0.0–1.0).
Per-request routing overhead
dynamo_router_overhead_* histograms (milliseconds) track time spent in each phase of the routing decision. Registered on the frontend port with a router_id label (the frontend’s discovery instance ID). Created only when the frontend has DRT discovery enabled (--router-mode kv); absent in non-KV modes and on the standalone router.
Time computing block hashes.
Time in indexer find_matches.
Time computing sequence hashes.
Time in scheduler worker selection.
Total routing overhead per request.
Router queue metrics
The frontend registers these metrics when queueing is enabled by --router-queue-threshold or a threshold in --router-policy-config. They carry model, worker_type, and policy_class. With policy-family or cache-bucket configuration, policy_class is the resolved physical queue.
Requests pending in the router scheduler queue.
Raw input-sequence tokens pending in the queue.
Cached-token estimate captured when each request enters the queue.
Queue rejections by configured limit reason. Also labeled by reason.
KV indexer metrics
KV cache events applied to the router’s radix-tree index. Includes events applied to the device tier and lower tiers such as host-pinned memory and disk. Appears only when --router-kv-overlap-score-credit is greater than 0 and workers publish KV events. Labeled by status and event_type — see Metric-specific labels.
The standalone indexer exposes the device-tier-only counter dynamo_kvrouter_kv_cache_events_applied; see Standalone KV Indexer.
Availability by configuration
Not all router metrics appear in every deployment. This matrix shows which groups are registered and populated in each configuration.
Key:
- Registered and populated — the metric appears at
/metricswith real values. - Registered, always zero — the metric appears at
/metricsbut is never incremented (useful for dashboards that expect it to exist). - Not registered / Not created — the metric does not appear at
/metricsat all.
Related
- Metric Labels — the dimensions attached to these metrics.
- Environment Variables — variables that enable and configure metric emission.
- Operator Metrics — Kubernetes operator metrics catalog.
- Metrics Comparison — engine pass-through metrics (
vllm:*,sglang:*,trtllm_*).