Supersedes draft PR #24 (hermes/tts-voice-hfc-female): Brad changed the decision after that task landed, so this starts fresh from origin/main instead of building on it. Bakes three checksum-pinned Piper voices (en_US-amy-medium, ru_RU-irina-medium, es_MX-claude-high) alongside the existing lessac set, and adds deterministic, allow-listed language routing to hermes-jetson-tts-server.py: an explicit request "language" field maps through a fixed dict to one of the three baked voices, with unknown, missing, or malformed input always falling back to English amy. A client-supplied "voice" field is never read, so no client input can reach a filesystem path. All three voices are eagerly preloaded at process start (measured ~243MB RSS for three vs. ~88MB for one). The WebUI has no signal for the language of the text it is about to speak (verified: hermes-webui-atlas-voice.js sends only text and engine), so no client- or server-side language detection is added; this gap is documented in NOTES.md and the PR description rather than papered over. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
184 lines
5.5 KiB
YAML
184 lines
5.5 KiB
YAML
# services/hermes/voice-deployment.yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: hermes-stt
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namespace: hermes
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labels:
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app: hermes-stt
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app: hermes-stt
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template:
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metadata:
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labels:
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app: hermes-stt
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annotations:
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ai.bstein.dev/role: private-chat-speech-to-text
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ai.bstein.dev/model: whisper-small-multilingual
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ai.bstein.dev/gpu: titan-21 dedicated speech time-slice
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spec:
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runtimeClassName: nvidia
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automountServiceAccountToken: false
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enableServiceLinks: false
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securityContext:
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supplementalGroups: [44]
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nodeSelector:
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kubernetes.io/hostname: titan-21
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containers:
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- name: stt
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image: registry.bstein.dev/bstein/hermes-jetson-stt@sha256:dfb0b0788dcf63747d8c761c6d3ea6a7459bcd8d0a5c92bcd4f6f434a760249f
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imagePullPolicy: IfNotPresent
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ports:
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- {name: http, containerPort: 9000, protocol: TCP}
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env:
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- {name: HOME, value: /tmp}
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- {name: XDG_CACHE_HOME, value: /tmp/cache}
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- {name: HERMES_STT_PORT, value: "9000"}
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- {name: HERMES_STT_MODEL, value: small}
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- {name: HERMES_STT_CACHE, value: /opt/models/whisper}
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- {name: NVIDIA_VISIBLE_DEVICES, value: all}
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- {name: NVIDIA_DRIVER_CAPABILITIES, value: "compute,utility"}
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- {name: JETSON_JETPACK, value: "5"}
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startupProbe:
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httpGet: {path: /health, port: http}
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 90
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readinessProbe:
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httpGet: {path: /health, port: http}
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periodSeconds: 10
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timeoutSeconds: 5
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livenessProbe:
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httpGet: {path: /health, port: http}
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periodSeconds: 30
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timeoutSeconds: 10
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failureThreshold: 3
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securityContext:
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allowPrivilegeEscalation: false
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capabilities:
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drop: [ALL]
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readOnlyRootFilesystem: true
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runAsUser: 10000
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runAsGroup: 10000
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seccompProfile:
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type: RuntimeDefault
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volumeMounts:
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- {name: tmp, mountPath: /tmp}
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resources:
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requests:
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cpu: "2"
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memory: 4Gi
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nvidia.com/gpu.shared: 1
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limits:
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cpu: "6"
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memory: 10Gi
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nvidia.com/gpu.shared: 1
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volumes:
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- name: tmp
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emptyDir:
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sizeLimit: 1Gi
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: hermes-stt
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namespace: hermes
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spec:
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selector:
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app: hermes-stt
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ports:
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- {name: http, port: 9000, targetPort: http, protocol: TCP}
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: hermes-tts
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namespace: hermes
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labels:
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app: hermes-tts
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app: hermes-tts
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template:
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metadata:
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labels:
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app: hermes-tts
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annotations:
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ai.bstein.dev/role: private-chat-text-to-speech
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ai.bstein.dev/model: piper-multilingual-en_US-amy-medium+ru_RU-irina-medium+es_MX-claude-high
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ai.bstein.dev/gpu: CPU-only beside Whisper on the voice node
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spec:
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automountServiceAccountToken: false
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enableServiceLinks: false
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nodeSelector:
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kubernetes.io/hostname: titan-21
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containers:
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- name: tts
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image: registry.bstein.dev/bstein/hermes-jetson-tts@sha256:5cb9e57faab46365bff606c559af57b9505892be2909aea1ac523568d478b2cc
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imagePullPolicy: IfNotPresent
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ports:
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- {name: http, containerPort: 9001, protocol: TCP}
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env:
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- {name: HOME, value: /tmp}
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- {name: XDG_CACHE_HOME, value: /tmp/cache}
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- {name: HERMES_TTS_PORT, value: "9001"}
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- {name: HERMES_TTS_VOICE, value: en_US-amy-medium}
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- {name: HERMES_TTS_CACHE, value: /opt/models/piper}
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- {name: HERMES_TTS_ONNX_THREADS, value: "2"}
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startupProbe:
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httpGet: {path: /health, port: http}
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periodSeconds: 5
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timeoutSeconds: 3
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failureThreshold: 60
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readinessProbe:
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httpGet: {path: /health, port: http}
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periodSeconds: 10
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timeoutSeconds: 5
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livenessProbe:
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httpGet: {path: /health, port: http}
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periodSeconds: 30
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timeoutSeconds: 10
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failureThreshold: 3
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securityContext:
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allowPrivilegeEscalation: false
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capabilities:
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drop: [ALL]
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readOnlyRootFilesystem: true
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runAsUser: 10000
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runAsGroup: 10000
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seccompProfile:
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type: RuntimeDefault
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volumeMounts:
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- {name: tmp, mountPath: /tmp}
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resources:
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# Preloading all three policy voices measured ~243MB RSS versus
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# ~88MB for one; bump the request from 512Mi to 768Mi to cover
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# that ~155MB increase with headroom. The 2Gi limit already had
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# ample slack and is unchanged.
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requests: {cpu: "1", memory: 768Mi}
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limits: {cpu: "4", memory: 2Gi}
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volumes:
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- name: tmp
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emptyDir:
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sizeLimit: 512Mi
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: hermes-tts
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namespace: hermes
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spec:
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selector:
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app: hermes-tts
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ports:
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- {name: http, port: 9001, targetPort: http, protocol: TCP}
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