Ryan Malloy
d054caa43c
Rename all user-facing references from tts-mcp to mcspeak: service name, container, compose project, Dockerfile CMD, FastMCP instance, MCP config, startup logs, temp dir, and CLAUDE.md header. Python module stays tts_mcp (import name != package name is standard practice). README covers quick start, MCP tools, engines, features, config, Docker setup, and architecture.
80 lines
2.4 KiB
YAML
80 lines
2.4 KiB
YAML
services:
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mcspeak:
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build: .
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container_name: mcspeak
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restart: unless-stopped
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# Must exceed: 3s handler drain + TTS_SHUTDOWN_TIMEOUT + 5s safety margin.
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# Default: 3 + 30 + 5 = 38s. Increase if TTS_SHUTDOWN_TIMEOUT > 30.
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stop_grace_period: 38s
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env_file: .env
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environment:
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# Override for Docker networking (container DNS instead of IPs)
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TTS_PIPER_HOST: piper-tts
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TTS_ORPHEUS_URL: http://llama-server:8081
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# PipeWire client config
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XDG_RUNTIME_DIR: /run/user/1000
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# PulseAudio socket for media ducking (bypass XDG_RUNTIME_DIR ownership check)
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PULSE_SERVER: unix:/run/user/1000/pulse/native
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# Force unbuffered Python output so stderr shows up in docker logs immediately
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PYTHONUNBUFFERED: "1"
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volumes:
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# Kokoro ONNX models (read-only)
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- ./models:/app/models:ro
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# HuggingFace cache for SNAC model download (lazy-loaded on first Orpheus call)
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- hf-cache:/home/tts/.cache/huggingface
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# Persistent data (voice assignments, etc.)
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- tts-data:/data
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# PipeWire socket for audio playback through host speakers
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- /run/user/1000/pipewire-0:/run/user/1000/pipewire-0
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# PulseAudio compat socket for media ducking (volume control)
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- /run/user/1000/pulse:/run/user/1000/pulse
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depends_on:
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llama-server:
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condition: service_healthy
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networks:
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- caddy
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- dootie-internal
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labels:
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caddy: mctalkbox.l.supported.systems
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caddy.reverse_proxy: "{{upstreams 8371}}"
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llama-server:
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build:
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context: .
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dockerfile: llama-server.Dockerfile
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container_name: orpheus-llama-server
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restart: unless-stopped
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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volumes:
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# GGUF model file (set ORPHEUS_GGUF_PATH in .env, e.g. from Ollama blob storage)
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- ${ORPHEUS_GGUF_PATH}:/models/orpheus.gguf:ro
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command: >-
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--host 0.0.0.0 --port 8081
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--model /models/orpheus.gguf
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--n-gpu-layers 999 --ctx-size 4096
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--flash-attn --cont-batching
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networks:
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- dootie-internal
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healthcheck:
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test: ["CMD", "curl", "-sf", "http://127.0.0.1:8081/health"]
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interval: 15s
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timeout: 5s
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start_period: 120s
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retries: 5
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volumes:
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hf-cache:
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tts-data:
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networks:
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caddy:
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external: true
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dootie-internal:
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external: true
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