Omni Router Usage#
The SGLang-Omni Router is an external HTTP router for Omni V1 deployments. It fronts multiple complete Omni V1 API servers and exposes one OpenAI-compatible endpoint to clients.
Use the router when you launch more than one sgl-omni serve process and want
one stable endpoint for request distribution, health tracking, and worker-pool
control.
Router Topology#
The router is an external HTTP process:
client
|
v
sgl-omni-router
|
+-- sgl-omni serve worker A
+-- sgl-omni serve worker B
Each worker is a complete Omni V1 HTTP server. The router does not load model weights or split a single request across workers. It selects one routable worker for each request, forwards the original request bytes, and returns the worker response with router diagnostic headers.
Launch Workers and Router From YAML#
For a local homogeneous pool, sgl-omni-router can start the worker replicas
and then start the router after all managed workers pass /health:
sgl-omni-router \
--host 0.0.0.0 \
--port 8008 \
--launcher-config examples/configs/qwen3_omni_router.yaml \
--policy round_robin \
--health-failure-threshold 2 \
--health-success-threshold 1 \
--health-check-interval-secs 10 \
--log-level info
Example launcher config:
launcher:
backend: local
model_path: Qwen/Qwen3-Omni-30B-A3B-Instruct
model_name: qwen3-omni
num_workers: 2
num_gpus_per_worker: 1
worker_host: 127.0.0.1
worker_base_port: 8011
worker_extra_args: "--config examples/configs/qwen3_omni_colocated_h20.yaml --colocate"
wait_timeout: 600
backend: local means the router process starts and manages worker
subprocesses on the same machine. The launched workers are complete Omni V1
servers started with sgl-omni serve; they are not partial
pipeline stages. The router waits for every managed worker to pass /health
before it starts accepting client traffic, and it stops those managed workers
when the router exits.
num_gpus_per_worker controls automatic GPU grouping. The default Qwen3-Omni
router example uses colocated workers: each complete speech worker runs on one
GPU through examples/configs/qwen3_omni_colocated_h20.yaml. With
num_workers: 2 and num_gpus_per_worker: 1, the launcher assigns GPU 0 to
the first worker and GPU 1 to the second worker when two CUDA devices are
visible.
Use examples/configs/qwen3_omni_colocated_h200.yaml instead for single-H200
workers.
Set worker_gpu_ids only when you need explicit placement. Each entry maps one
CUDA_VISIBLE_DEVICES value to one worker, for example
worker_gpu_ids: ["0", "1"] for two one-GPU colocated Qwen3-Omni workers. Use
worker_extra_args: "--text-only" only if you intentionally want text-output
workers instead of speech-output workers.
Use worker_extra_args for public Omni V1 serve options that are specific to
the worker process, such as --mem-fraction-static, --thinker-tp-size, or
--text-only. These arguments are passed to sgl-omni serve
after the launcher-owned flags. When no memory flags are provided, Omni V1 uses
its normal auto-sizing path.
Use worker_capabilities when managed workers intentionally expose only part
of the Omni API surface. For example, text-only workers should not advertise
speech or audio-output support:
launcher:
backend: local
model_path: Qwen/Qwen3-Omni-30B-A3B-Instruct
model_name: qwen3-omni
num_workers: 2
num_gpus_per_worker: 1
worker_extra_args: "--text-only"
worker_capabilities:
- chat
- streaming
- image_input
- audio_input
- video_input
If worker_capabilities is omitted and worker_extra_args contains
--text-only, the router registers the managed workers with the same text-only
capability set shown above.
For short audio-input / text-output MMSU-style workloads, use the fused text-path Qwen3-Omni config instead of the default speech-colocated worker:
launcher:
backend: local
model_path: Qwen/Qwen3-Omni-30B-A3B-Instruct
model_name: qwen3-omni
num_workers: 2
num_gpus_per_worker: 1
worker_extra_args: "--config examples/configs/qwen3_omni_mmsu.yaml --text-only"
This keeps preprocessing, encoders, aggregation, thinker, and decode in one worker process while leaving the general speech-colocated topology unchanged.
Launch Worker Servers Manually#
Start each Omni V1 worker separately. The example below launches two colocated Qwen3-Omni speech workers on different GPUs and ports:
CUDA_VISIBLE_DEVICES=0 sgl-omni serve \
--model-path Qwen/Qwen3-Omni-30B-A3B-Instruct \
--model-name qwen3-omni \
--config examples/configs/qwen3_omni_colocated_h20.yaml \
--colocate \
--host 0.0.0.0 \
--port 8011
CUDA_VISIBLE_DEVICES=1 sgl-omni serve \
--model-path Qwen/Qwen3-Omni-30B-A3B-Instruct \
--model-name qwen3-omni \
--config examples/configs/qwen3_omni_colocated_h20.yaml \
--colocate \
--host 0.0.0.0 \
--port 8012
Worker URLs passed to the router must be base URLs such as
http://127.0.0.1:8011. Do not include endpoint paths, query strings, or
fragments.
Launch the Router#
Start the router with the worker URLs:
sgl-omni-router \
--host 0.0.0.0 \
--port 8008 \
--worker-urls http://127.0.0.1:8011 http://127.0.0.1:8012 \
--policy round_robin \
--health-failure-threshold 2 \
--health-success-threshold 1 \
--health-check-interval-secs 10 \
--log-level info
Router Arguments#
The table below lists the router command-line arguments.
Argument |
Default |
Description |
|---|---|---|
|
|
Host interface for the router HTTP server. |
|
|
Port for the router HTTP server. |
|
not set |
Space-separated Omni V1 worker base URLs for a homogeneous worker pool. |
|
not set |
JSON file that defines workers and optional per-worker model/capability metadata. |
|
not set |
YAML file for a managed local worker pool. Do not use with |
|
|
Routing policy: |
|
not set |
Model name assigned to every worker when using |
|
|
Timeout for proxied worker requests. |
|
|
Maximum request body size accepted by the router, in bytes. |
|
auto: |
Admission bound: maximum concurrent in-flight model requests before the router fast-rejects with |
|
equal to |
Advanced override that decouples the admission bound from |
|
|
Consecutive failed health checks or routed request failures before a worker becomes unhealthy. |
|
|
Consecutive successful health checks before an unhealthy or unknown worker becomes healthy. |
|
|
Timeout for one worker health-check request. |
|
|
Interval between background worker health checks. |
|
|
Worker endpoint used by background health checks. |
|
first worker with |
Single-process mode only. Worker that owns uploaded TTS voices. Voice management and synthesis requests that use uploaded voices stay on this worker. Without such an owner, built-in voices can still route to eligible speech workers, but voice management is unavailable. |
|
|
Directory for durable router state (the weight-update journal), which must survive a host reboot. Mount it on a persistent volume in a container. |
|
|
Router and Uvicorn log level. |
|
off |
Fail startup instead of warning when the |
|
|
Number of data-plane relay processes. |
|
|
Multi-process only: how long a stopping data-plane process waits for in-flight requests before cancelling them. The default matches the request timeout, so a routine shutdown never truncates a request its own timeout would have allowed. |
Routing policies:
round_robin: rotates through routable workers in order.least_request: selects a routable worker with the fewest active data-plane requests, then round-robins among ties.random: selects a random routable worker.
Pass exactly one of --launcher-config, --worker-urls, or
--worker-config. Use --worker-config when workers serve different models or
only a subset of Omni capabilities:
{
"workers": [
{
"url": "http://127.0.0.1:8011",
"model": "qwen3-omni",
"capabilities": ["chat", "image_input", "video_input"]
},
{
"url": "http://127.0.0.1:8012",
"model": "qwen3-omni",
"capabilities": ["chat", "audio_input", "audio_output", "speech"]
}
]
}
Then launch with:
sgl-omni-router \
--host 0.0.0.0 \
--port 8008 \
--worker-config workers.json \
--policy least_request
Check Router and Worker State#
The router exposes separate process and worker-pool health surfaces:
curl -i http://127.0.0.1:8008/live
curl -i http://127.0.0.1:8008/ready
curl -i http://127.0.0.1:8008/health
curl -s http://127.0.0.1:8008/workers
curl -s http://127.0.0.1:8008/v1/models
The endpoints have different meanings:
GET /live: the router process is running. This does not wait for workers to become healthy.GET /ready: at least one worker is routable. This returns503when all workers are unhealthy, dead, disabled, or still unknown.GET /health: worker-pool health summary plus admission stats (inflight,max_inflight,peak_inflight,rejected_total). This returns503when no worker is routable.GET /workers: detailed worker state, includinghealth_state,disabled,routable,active_requests, aggregate and per-service-class request counters, and last error.GET /v1/models: merged model list from routable workers.
Send Requests Through the Router#
Point clients at the router port instead of the worker ports. The request schema is the same OpenAI-compatible schema used by each worker server.
Image input with text output:
curl -i http://127.0.0.1:8008/v1/chat/completions \
-H "Content-Type: application/json" \
-H "x-request-id: router-image-1" \
-d '{
"model": "qwen3-omni",
"messages": [
{"role": "user", "content": "How many cars are there in the image? Answer briefly."}
],
"images": ["tests/data/cars.jpg"],
"modalities": ["text"],
"max_tokens": 16
}'
Streaming text:
curl -N http://127.0.0.1:8008/v1/chat/completions \
-H "Content-Type: application/json" \
-H "x-request-id: router-stream-1" \
-d '{
"model": "qwen3-omni",
"messages": [{"role": "user", "content": "Say hello briefly."}],
"stream": true,
"max_tokens": 16
}'
The router preserves the original request body. For ordinary JSON requests, it parses a bounded amount of request metadata for worker selection and forwards the original bytes to the selected worker.
Manage Workers#
Add a worker at runtime:
curl -s http://127.0.0.1:8008/workers \
-H "Content-Type: application/json" \
-d '{"url":"http://127.0.0.1:8013","model":"qwen3-omni"}'
Disable a worker without deleting it:
curl -s -X PUT http://127.0.0.1:8008/workers/http%3A%2F%2F127.0.0.1%3A8013 \
-H "Content-Type: application/json" \
-d '{"disabled":true}'
Mark a worker dead for manual quarantine:
curl -s -X PUT http://127.0.0.1:8008/workers/http%3A%2F%2F127.0.0.1%3A8013 \
-H "Content-Type: application/json" \
-d '{"is_dead":true}'
Recover a manually dead worker:
curl -s -X PUT http://127.0.0.1:8008/workers/http%3A%2F%2F127.0.0.1%3A8013 \
-H "Content-Type: application/json" \
-d '{"is_dead":false}'
Delete a worker:
curl -s -X DELETE http://127.0.0.1:8008/workers/http%3A%2F%2F127.0.0.1%3A8013
Worker update requests are atomic. If an update returns 400, the live worker
state is not partially changed.
Routing Behavior#
The router only selects workers that are healthy, not disabled, and capable of serving the request.
The default worker capability set represents a complete Omni V1 replica:
chatspeechstreamingimage_inputaudio_inputvideo_inputaudio_output
The router infers required capabilities from each request:
/v1/chat/completionsrequireschatstream: truerequiresstreamingimages,image, or image message parts requireimage_inputaudios,audio_inputs, or audio message parts requireaudio_inputvideos,video, or video message parts requirevideo_inputmodalities: ["audio"]oraudiooutput fields requireaudio_output/v1/audio/speechand/v1/audio/speech/batchrequirespeech;/v1/audio/speechalso requiresstreamingwhenstream: true(batch speech does not support streaming)speech requests using
ref_audioor audio-bearingreferencesalso requireaudio_input/v1/audio/speech/streamWebSocket sessions requirespeechandstreaming, plusaudio_inputwhen configured with reference audio/v1/audio/voicesmanagement and synthesis using an uploaded voice require the owner worker, which has bothspeechandaudio_input
Register narrower worker capabilities only when a worker cannot serve one of those request classes.
The complete TTS route set described below is currently supported by the
single-process router (--router-processes 1). Multi-process router data
planes retain the route surface documented in
Multi-Process Router.
Uploaded TTS voices are mutable worker-local state. The Router sends voice
list, upload, and delete operations to --voice-owner-worker-url, and pins
speech, batch, and WebSocket requests that name an uploaded voice to the same
worker. It returns 503 if that owner is unavailable instead of silently
routing the request to a worker without the voice. Once the uploaded-voice
registry is available, built-in voices remain balanced by the configured
routing policy. By default, the first routable worker with both speech and
audio_input capabilities becomes the owner and remains the owner for that
router process. Configure
--voice-owner-worker-url when the owner must remain stable across router
restarts. Pools without such an owner can still route built-in TTS to eligible
speech workers, but voice management returns 503.
The owner cannot be removed or have either required capability removed through
the router’s worker API while the router is running.
Voice ownership assumes one router is the writer for the pool, clients perform
voice mutations through that router, and the owner keeps its speaker directory
across restarts. Multiple independent routers or direct mutations against a
worker are not coordinated and are unsupported for uploaded voices.
The router loads its uploaded-voice registry in the background after voice
traffic begins and reconciles it after voice mutations. Until the initial load
succeeds, or while a mutation outcome is unresolved, every non-default voice
name is pinned to the owner because the router cannot safely distinguish a
built-in name from an uploaded name. GET /health reports the selected owner,
owner routability, registry state, and uploaded-voice count under
voice_routing.
The router hydrates this registry through the compact
GET /v1/audio/voices?names_only=true response rather than transferring stored
reference metadata.
Large JSON requests are not fully parsed by the router. With a homogeneous pool of complete Omni V1 replicas, no extra headers are needed. With mixed models, provide a model hint. With mixed worker capabilities, provide a capability hint when the router cannot infer a single safe worker set:
X-SGLang-Omni-Route-Model: requested model for mixed-model poolsX-SGLang-Omni-Route-Capabilities: comma-separated capabilities such asimage_input,audio_input,video_input,audio_output, orstreamingX-SGLang-Omni-Route-Stream:trueorfalsefor large streaming requests
Speech and speech-batch JSON bodies larger than 1 MiB are conservatively pinned
to the voice owner because the router cannot fully inspect them to rule out an
uploaded voice reference. Without an eligible owner, the router conservatively
requires audio_input; it never weakens capability selection at the size
boundary. Route-hint headers do not override voice ownership.
These headers are router-only hints and are not forwarded to workers.
Request Diagnostics#
Routed HTTP responses include:
X-SGLang-Omni-Worker: selected worker IDX-SGLang-Omni-Request-ID: request ID from the request headers or body, or a router-generated IDX-SGLang-Omni-Route-Attempt: currently1
HTTP routes emit route_completed after worker selection and route_rejected
before selection. Completion records contain the request ID, selected worker,
path, stream flag, inferred capabilities, status code, duration, and terminal
outcome.
WebSocket sessions cannot add HTTP response headers after the upgrade. Router
rejections are sent as a TTS error event followed by a protocol-appropriate
close code. Every accepted WebSocket emits one tts_websocket_completed record,
including rejections before worker selection; those records use worker=-.
Overload Behavior#
The router bounds its concurrent work. Once --max-connections in-flight model
requests are being relayed, additional model requests are rejected immediately,
before the request body is read:
HTTP requests receive status
503, an OpenAI-style error envelope ("type": "overloaded_error"), aRetry-After: 1header, and aroute_rejectedlog withreason=router_overloadedWebSocket requests receive a TTS
errorevent witherror_type=overloaded_error, close code1013, and a terminal log withoutcome=router_overloaded
Health and management endpoints (/live, /ready, /health, /workers, admin
routes) are never gated. GET /health reports the current in-flight level, the
peak since startup, and the total rejected count.
Sizing guidance:
The auto default (
128 x workers) is a divergence backstop, not a latency target. For large responses on a single-core router, an oversized bound degrades service itself; size--max-connectionstowardcapacity x acceptable latencyfor your payload shape.Each in-flight request holds two file descriptors (client plus upstream). The router warns at startup when the
nofilesoft limit is below2 x upstream pool size + headroom, where the pool size ismax(--max-connections, --max-inflight). Raise the limit, or lower whichever of the two flags binds the pool (the warning names it);--strict-limitsturns the warning into a startup error.A rejected request costs the client its keep-alive connection (the router responds before reading the body), so clients should back off on
503rather than immediately retrying on a fresh connection.
Failure Handling#
Worker liveness is owned by the background /health probes. A relayed request
only marks a worker unhealthy when the router cannot get a usable response from
it: a transport-level failure (connection error or read timeout, with no HTTP
response) or a gateway status the worker returns, 502 Bad Gateway or 504 Gateway Timeout. Capacity backpressure and application statuses the worker
answers with itself, 429 Too Many Requests, 503 Service Unavailable, 408 Request Timeout, and 500 Internal Server Error, are counted as per-request
failures in the worker statistics but never evict a reachable worker, so one
overloaded worker or a stream of bad-input requests cannot cascade the pool into
unavailability. A worker that leaves the pool can return to healthy after the
configured number of successful health checks.
To inspect failover behavior:
Stop one worker.
Call
GET /workersand check itsconsecutive_failures,health_state, androutablefields.Send another request through the router and verify that it uses a remaining routable worker.
Restart the stopped worker and wait for it to become healthy again.
For a source checkout without installed console scripts, verify the module entry point with:
python -m sglang_omni_router.serve --help
Durable Router State#
--router-state-dir holds the control-plane state that must outlive both a
router restart and a reboot of the router host. Today that is the weight-update
journal: when an update is interrupted after some workers were already updated,
the journal keeps the affected workers disabled until an operator verifies
their weight versions and re-enables them
(PUT /workers/{worker_id} {"disabled": false}). Workers run on their own
hosts and outlive the router, so losing the journal would let a fresh router
re-enable a pool whose weights no longer match.
Resolution order:
--router-state-dirSGLANG_OMNI_ROUTER_STATE_DIR$XDG_STATE_HOME/sglang-omni-router~/.local/state/sglang-omni-router
The directory is created owner-only (0700, journal file 0600) and is keyed
by the router’s host:port, so several routers on one machine keep separate
journals. If the directory cannot be created or written, the failure mode
depends on the mode: with --router-processes >= 2 startup fails; the
single-process default still starts, logs a warning, and refuses weight
updates (503) until --router-state-dir points at a writable persistent
path. In neither mode is there a temp-directory fallback, which would look
durable while a reboot silently dropped the record.
If the journal itself becomes unreadable, re-enabling cannot resolve it and
every weight update stays blocked with 409. Verify the pool’s weight
versions, then drop the record explicitly:
curl -X POST http://127.0.0.1:8000/weight_update_journal/resolve \
-H "Authorization: Bearer $SGLANG_OMNI_ADMIN_KEY" \
-d '{"acknowledge": true}'
The call is admin-authenticated, requires acknowledge so the record cannot be
dropped by accident, reports the worker ids it dropped, and fails with 503 if
the file could not be removed. The affected workers stay disabled until they
are re-enabled one by one.
In a container, mount it on a persistent volume:
docker run -v /srv/sglang-omni-router:/var/lib/sglang-omni-router ... \
python -m sglang_omni_router.serve \
--router-state-dir /var/lib/sglang-omni-router \
--worker-urls http://127.0.0.1:8011
What this directory does not manage:
Per-run runtime files (serialized config, internal socket, worker snapshot, admission shared memory) stay in a temporary per-run workdir. They are rebuilt at startup and are meant to disappear with the process tree.
Logs. The router writes to stdout/stderr; persist them with your container runtime, systemd, or log collector.
Multi-Process Router (Control/Data-Plane Split)#
x86-64 Linux only: the shared admission seqlock relies on x86-64 store ordering, and any other machine is refused at startup. Enabled with
--router-processes N; the default1keeps the single-process router described above. The one behavioral addition atN = 1is the weight-update journal: recovery at startup can keep workers from an earlier interrupted update disabled until an operator re-enables them.
At N >= 2 the router runs as a small process tree:
A supervisor binds the public port once and passes the listening socket to
Ndata-plane (DP) processes, which accept from the shared queue and relay the model routes (/generate,/v1/chat/completions,/v1/audio/speech,/v1/audio/transcriptions).One control plane (CP) owns the worker registry, health checks, and the admin surface. DPs learn the routable-worker set from a snapshot file the CP republishes on every state change and on a fixed keepalive cadence. Admin requests sent to the public port are forwarded to the CP, which enforces the admin key;
/v1/models,/live, and/readyare answered by the DP itself,/healthis the CP’s aggregate view.The supervisor restarts crashed children (with a fail-closed budget for rapid crash loops), fences replaced processes by generation, and tears the tree down in order on SIGTERM. A stopping DP drains in-flight requests for up to
--shutdown-drain-secs(default:--request-timeout-secs) before remaining tasks are cancelled, and the supervisor waits out that drain before escalating to SIGKILL.
Behavior differences to know about:
The admission bound is shared and soft. The in-flight bound spans all DPs through a shared-memory counter array. Concurrent admission checks can overshoot the bound by at most
N - 1requests. In/health,inflightis an instantaneous sum (not a linearizable value) andpeak_inflightis best-effort.rejected_totalis exact while every live slot stays readable; a DP killed mid-write loses the counters it had not yet published, so the total is best-effort across a crash and reclaim window.least_requestrequires a single process. It reads per-process counters, so--router-processes >= 2combined with an explicit--policy least_requestfails at startup; useround_robin(DPs stagger their starting offsets to avoid herding) orrandom.CP unavailability degrades before it fails. DPs keep serving from their last snapshot for the stale timeout, then shed new requests with fast
503s and flip/ready; one republish restores service./healthreportsdegradedwhile some DPs are missing and503only when nothing can serve.Worker weight updates wait for the data planes. Before broadcasting, the CP publishes the disabled-worker snapshot and waits until every live DP has acknowledged it; on timeout the update fails closed and nothing is sent.
Counters are aggregated.
/workersaggregate totals and*_requests_by_classmaps are summed across DPs and stay monotonic across DP restarts;active_requestsis a best-effort gauge over live DPs. Counters reset with the CP, matching single-process restarts.File descriptors scale with
N. Each DP holds a full-size upstream pool (a skewed keep-alive client mix can pin the whole bound onto one DP, which must still carry it) with keep-alives splitpool / N; the startup log prints the per-process and cluster fd budget for the nofile check.
CPU affinity guidance for dense deployments: pin the N DP processes to N
dedicated cores on one NUMA node; the CP and supervisor are near-idle and can
share one core; keep model workers and benchmark clients on other cores (or
the other NUMA node) so relay throughput is not contended.
Troubleshooting#
Check the Router and worker pool before restarting any process — see Check Router and Worker State for the endpoint commands and their meanings.
Use the response and health signals to choose the next step:
Signal |
Meaning |
Action |
|---|---|---|
|
The Router process is not reachable. |
Check the process, bind address, port, and startup logs. |
|
No worker is routable. |
Inspect the worker states in |
Model request: |
The request body exceeds |
Reduce the request size or, after checking memory and concurrency impact, raise the configured limit. |
Large JSON model request: |
JSON bodies larger than 1 MiB are not fully parsed, so the Router cannot infer the model or capabilities needed to select from a mixed worker pool. |
Set the header named in the error message, such as |
Model request: |
A route-hint header is malformed or disagrees with the JSON body: an empty value, an unsupported capability, or a value that conflicts with the body’s |
Read the message; it names the offending header. The rejection log records the same message in |
Model request: |
Router admission is full. |
Back off and inspect |
Model request: |
No routable worker matches the request. |
Check worker routability, model, and capabilities. |
Model request: |
The selected worker returned |
Inspect that worker’s logs and |
Streaming response starts with |
The upstream stream failed after the HTTP status was sent. SSE responses end with an |
Check the route-completion log for |
For admission limits, rejection logs, and capacity guidance, see Overload Behavior.
Selection failures contain reason=no_eligible_upstream plus the inferred model
and capabilities. They occur before a worker is chosen and therefore have no
X-SGLang-Omni-Worker header.
A worker-returned 503 does not by itself evict the worker.
Distinguish 502 Responses#
For model requests that select a single worker, a 502 with
X-SGLang-Omni-Worker can come from either the Router or the selected worker.
Use the body to distinguish them:
{"error": {"message": "upstream request failed"}}: the Router selected a worker, but a connection error or timeout prevented it from obtaining a response. Check the selected worker process, its port, and its/healthendpoint.Any other body: the selected worker returned its own
502, which the Router relayed. Investigate that worker’s upstream dependencies.
This distinction does not apply to /v1/models or administrative broadcast
routes. Those routes may return a Router-generated 502 without selecting a
single worker and therefore without X-SGLang-Omni-Worker.
For how transport failures and worker-returned 502 or 504 responses affect
worker health, see Failure Handling.
Inspect Worker State#
Print the fields used to determine routability. worker_id is the
percent-encoded identifier the admin routes expect; display_id is the
host and port shown in logs:
curl -s http://127.0.0.1:8008/workers | python3 -c '
import json, sys
for worker in json.load(sys.stdin)["workers"]:
print(
"worker_id=" + worker["worker_id"],
"display_id=" + worker["display_id"],
"state=" + worker["health_state"],
"disabled=" + str(worker["disabled"]),
"routable=" + str(worker["routable"]),
"failures=" + str(worker["consecutive_failures"]),
"last_error=" + str(worker["last_error"]),
)
'
State |
Meaning and action |
|---|---|
|
The worker has not passed |
|
Failures reached |
|
The worker was manually quarantined and health probes skip it. Resolve the problem before clearing |
|
The worker is administratively excluded even if healthy. Re-enable it only when it is ready for new requests. |
Also verify that --health-check-endpoint matches the endpoint exposed by the
worker.
For no eligible upstream, compare the request with each routable worker’s
model and capabilities in /workers; see
Routing Behavior for the capability mapping and route-hint
headers.
Model filtering applies only when at least one candidate worker advertises a
model. Do not clear model metadata to work around a mismatch: if no candidate
advertises a model, the Router stops filtering by model.
Drain and Remove a Worker#
Disable the worker first so it receives no new requests, wait for
active_requests to reach zero, and then delete it:
( # subshell: a failed step exits the procedure, not your shell
worker_id='http%3A%2F%2F127.0.0.1%3A8013'
max_wait_secs=1800
deadline=$((SECONDS + max_wait_secs))
curl -fsS -X PUT "http://127.0.0.1:8008/workers/${worker_id}" \
-H "Content-Type: application/json" \
-d '{"disabled":true}' ||
exit 1
while true; do
active_requests=$(
curl -fsS http://127.0.0.1:8008/workers |
python3 -c '
import json, sys
target = sys.argv[1]
workers = json.load(sys.stdin)["workers"]
worker = next((item for item in workers if item["worker_id"] == target), None)
print(worker["active_requests"] if worker else "missing")
' "${worker_id}"
) || exit 1
case "${active_requests}" in
0) break ;;
missing)
echo "worker ${worker_id} is not registered; check /workers" >&2
exit 1
;;
esac
if (( SECONDS >= deadline )); then
echo "timed out waiting for ${worker_id} to drain" >&2
exit 1
fi
sleep 2
done
curl -fsS -X DELETE "http://127.0.0.1:8008/workers/${worker_id}"
)
Copy worker_id from /workers rather than constructing it manually; the
snippet in Inspect Worker State prints it in a form you
can paste directly. Raise max_wait_secs for workloads whose responses can
legitimately exceed the default 30-minute drain window.
Deleting a worker removes only its Router registration. Stop the worker process separately after the drain completes.