sglang/experimental/sgl-router/monitoring

sgl-router (experimental) monitoring

Grafana dashboard for the experimental router's Prometheus metrics, exposed on /metrics (text/plain, version 0.0.4) on the router's serving port (default 30000).

Files

• grafana-dashboard.json — importable Grafana dashboard, SGLang Router (experimental) (uid sgl-router-experimental).

Metrics covered

Families the router emits. The dashboard graphs all of them except the sgl_router_kv_* series, whose panels ship separately:

Metric	Type	What it shows
sgl_router_requests_total	Counter	Edge intake — every request received at the router HTTP boundary, by route, method, counted before worker dispatch (true intake)
sgl_router_responses_total	Counter	Edge responses — every response returned, by route, method, status_code (incl. early-exit 400/413/503). requests_total - responses_total = received-but-not-answered
sgl_router_worker_requests_total	Counter	Per-worker dispatches by worker_url, model_id, mode, outcome (recorded after dispatch; blind to pre-dispatch drops)
sgl_router_request_duration_seconds	Histogram	End-to-end request latency by model_id
sgl_router_ttft_seconds	Histogram	Time to first token (streaming) by model_id
sgl_router_stream_outcome_total	Counter	Streaming outcomes by worker_url, model_id, and outcome (ok, stream_error_event, upstream_error, or client_disconnect). Counts committed 2xx streams only — non-2xx responses are counted by status in responses_total
sgl_router_active_load	Gauge	Per-worker prefill-token / decode-block load
sgl_router_workers	Gauge	Registered worker count by mode
sgl_router_worker_health	Gauge	Per-worker health (1=breaker admits, 0=open)
sgl_router_worker_cb_state	Gauge	Per-worker circuit breaker state (0=closed, 1=open, 2=half_open)
sgl_router_worker_inflight_requests	Gauge	In-flight requests per worker
sgl_router_stale_requests_total	Counter	Stale-request cancellations
sgl_router_decode_affinity_total	Counter	PD decode-affinity outcomes
sgl_router_sticky_total	Counter	Sticky-session selection outcomes
sgl_router_kv_events_total	Counter	KV-cache events the pump consumed, by event and storage medium
sgl_router_kv_event_blocks_total	Counter	Block hashes those events carried, by event and medium
sgl_router_kv_tree_blocks	Gauge	Blocks the tree attributes to a worker_url / dp_rank, by storage tier
sgl_router_kv_block_size	Gauge	Tokens per block hash, as established from the fleet (0 until a worker reports)
sgl_router_kv_event_batches_lost_total	Counter	KV-event batches dropped in transit, from gaps in each publisher's sequence
sgl_router_kv_tree_accounting_errors_total	Counter	Occupancy-bookkeeping contradictions, by reason. Always 0 on a correct tree
sgl_router_kv_tree_maintained	Gauge	1 when this router maintains its own KV tree, 0 under an external Indexer

The legacy sgl_router_overlap_blocks metric was removed with the cache_aware_zmq policy and has no direct replacement. Remove queries, alerts, and dashboard panels that depend on this metric before upgrading.

The sgl_router_workers / sgl_router_worker_* gauges are sampled from the live worker registry on every scrape, so a removed worker stops emitting series immediately rather than leaving a stale value. The sgl_router_kv_* series are pulled from the KV-event index the same way.

sgl_router_kv_tree_blocks * sgl_router_kv_block_size for one worker and tier, divided by that pod's own occupancy of the tier (device: sglang_kv_used_tokens + sglang_kv_evictable_tokens; host: sglang_hicache_host_used_tokens; tp_rank="0"), is the tree's coverage of that tier. Scope both sides to the same deployment before dividing — block size and fleet membership both vary between them, and an unscoped ratio divides one fleet's tree by another's occupancy.

Read it as: about 1, the tree mirrors the engine; about 0, the engine holds a tier routing cannot see; above 1, the tree holds tiers a worker has already released — check sgl_router_kv_event_batches_lost_total, because a tagged removal clears only its own tier and a lost batch strands the rest.

sgl_router_kv_events_total renders every (event, medium) cell including zeros, so a CPU_PINNED row pinned at 0 on a hierarchical-cache fleet is visible rather than absent. A nonzero block_stored/unknown row is the upgrade signal: the engine is publishing a storage tier this build cannot rank, so the tree drops those stores rather than filing them under a guess. Comparing sgl_router_kv_event_blocks_total for block_stored/CPU_PINNED against the engine's sglang_hicache_backup_tokens_total needs sum without(pool) on the engine side, and the two are not equal anyway: the engine also evicts device blocks it never backed up.

Prometheus scrape config

Point Prometheus at the router's /metrics endpoint:

scrape_configs:
  - job_name: sgl-router
    metrics_path: /metrics
    static_configs:
      - targets:
          - '127.0.0.1:30000'   # router host:port

Import into Grafana

1. Dashboards → New → Import.
2. Upload grafana-dashboard.json (or paste its contents).
3. When prompted, select your Prometheus data source for the Datasource variable. The dashboard uses a templated data source, so it imports into any Grafana without editing the JSON.

The top bar exposes model_id and worker_url template variables (both default to All) to scope the panels.

Regenerating

The JSON is generated programmatically to keep the ~20 panels consistent. If the metric surface changes, update the generator and overwrite the JSON rather than hand-editing — hand-edits drift from the panel conventions.