Common errors
Common errors
Section titled “Common errors”503 with model_warming
Section titled “503 with model_warming”The model is still loading. This is expected right after start. Poll /ready
until it returns 200, then retry. The response carries Retry-After: 10. See
Health and readiness.
503 with model_failed
Section titled “503 with model_failed”Model warmup failed terminally (for example missing or unreadable weights). With
eager warmup the container also exits non-zero, so check the container logs for
the underlying load error. Common causes: a volume mounted over /app/models
shadowing the baked weights, or a bad MODEL_SIZE / MODEL_REVISION. See
Model provisioning.
503 with queue_full or queue_timeout
Section titled “503 with queue_full or queue_timeout”The admission gate shed load. queue_full means QUEUE_SIZE requests were
already waiting (Retry-After: 5); queue_timeout means a request waited longer
than QUEUE_TIMEOUT_S for a slot (Retry-After: 10). Reduce request concurrency,
raise MAX_CONCURRENCY if the GPU has headroom, or increase QUEUE_SIZE /
QUEUE_TIMEOUT_S. See Observability and queues.
401 Invalid API key
Section titled “401 Invalid API key”API_KEY is set on the server and the request is missing or sending the wrong
Authorization: Bearer <key> header. Confirm the key, and remember /health,
/ready, /system, and /web/* are always open. In the web console, enter the
key in settings.
413 Uploaded file is too large
Section titled “413 Uploaded file is too large”The body exceeds MAX_UPLOAD_BYTES (default 25 MB). Send a smaller file, or raise
MAX_UPLOAD_BYTES (set 0 to disable the cap — not recommended on an exposed
deployment).
400 Unsupported response_format / Unsupported language
Section titled “400 Unsupported response_format / Unsupported language”response_format must be one of text, json, verbose_json, srt, vtt.
language must be a supported Whisper language code, or omitted to auto-detect.
GPU telemetry unavailable
Section titled “GPU telemetry unavailable”/system reports gpu: null and the console shows “GPU telemetry unavailable”
when there is no NVIDIA driver (for example a CPU-only host). This is expected and
does not affect transcription. On a GPU host, confirm the NVIDIA Container Toolkit
is installed and the container was started with GPU access.
Browser warns the TLS certificate is untrusted
Section titled “Browser warns the TLS certificate is untrusted”When using built-in self-signed TLS, browsers warn because the certificate is not
publicly trusted — expected for local use. Supply a real certificate via
TLS_CERT_FILE / TLS_KEY_FILE, or terminate TLS at an ingress. See
Security hardening.
Microphone recording is disabled in the console
Section titled “Microphone recording is disabled in the console”The console enables mic capture only in a secure context (HTTPS or
http://localhost). File upload works on any origin. Serve the console over TLS or
access it via localhost to record.
Slow transcription / high latency
Section titled “Slow transcription / high latency”Latency scales with model size and hardware. On CPU, throughput is much lower
(int8). On Jetson, stay within the memory budget. Consider a smaller or
distilled model — see Model selection and
Hardware profiles.