Files
miku-discord/docker-compose.yml
koko210Serve 14e1a8df51 Phase 3: Unified Cheshire Cat integration with WebSocket-based per-user isolation
Key changes:
- CatAdapter (bot/utils/cat_client.py): WebSocket /ws/{user_id} for chat
  queries instead of HTTP POST (fixes per-user memory isolation when no
  API keys are configured — HTTP defaults all users to user_id='user')
- Memory management API: 8 endpoints for status, stats, facts, episodic
  memories, consolidation trigger, multi-step delete with confirmation
- Web UI: Memory tab (tab9) with collection stats, fact/episodic browser,
  manual consolidation trigger, and 3-step delete flow requiring exact
  confirmation string
- Bot integration: Cat-first response path with query_llama fallback for
  both text and embed responses, server mood detection
- Discord bridge plugin: fixed .pop() to .get() (UserMessage is a Pydantic
  BaseModelDict, not a raw dict), metadata extraction via extra attributes
- Unified docker-compose: Cat + Qdrant services merged into main compose,
  bot depends_on Cat healthcheck
- All plugins (discord_bridge, memory_consolidation, miku_personality)
  consolidated into cat-plugins/ for volume mount
- query_llama deprecated but functional for compatibility
2026-02-07 20:22:03 +02:00

200 lines
6.2 KiB
YAML

services:
# ========== LLM Backends ==========
llama-swap:
image: ghcr.io/mostlygeek/llama-swap:cuda
container_name: llama-swap
ports:
- "8090:8080" # Map host port 8090 to container port 8080
volumes:
- ./models:/models # GGUF model files
- ./llama-swap-config.yaml:/app/config.yaml # llama-swap configuration
- ./llama31_notool_template.jinja:/app/llama31_notool_template.jinja # Custom chat template
runtime: nvidia
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
interval: 10s
timeout: 5s
retries: 10
start_period: 30s # Give more time for initial model loading
environment:
- NVIDIA_VISIBLE_DEVICES=all
- LOG_LEVEL=debug # Enable verbose logging for llama-swap
llama-swap-amd:
build:
context: .
dockerfile: Dockerfile.llamaswap-rocm
container_name: llama-swap-amd
ports:
- "8091:8080" # Map host port 8091 to container port 8080
volumes:
- ./models:/models # GGUF model files
- ./llama-swap-rocm-config.yaml:/app/config.yaml # llama-swap configuration for AMD
- ./llama31_notool_template.jinja:/app/llama31_notool_template.jinja # Custom chat template
devices:
- /dev/kfd:/dev/kfd
- /dev/dri:/dev/dri
group_add:
- "985" # video group
- "989" # render group
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
interval: 10s
timeout: 5s
retries: 10
start_period: 30s # Give more time for initial model loading
environment:
- HSA_OVERRIDE_GFX_VERSION=10.3.0 # RX 6800 compatibility
- ROCM_PATH=/opt/rocm
- HIP_VISIBLE_DEVICES=0 # Use first AMD GPU
- GPU_DEVICE_ORDINAL=0
# ========== Cheshire Cat AI (Memory & Personality) ==========
cheshire-cat:
image: ghcr.io/cheshire-cat-ai/core:1.6.2
container_name: miku-cheshire-cat
depends_on:
cheshire-cat-vector-memory:
condition: service_started
llama-swap-amd:
condition: service_healthy
environment:
- PYTHONUNBUFFERED=1
- WATCHFILES_FORCE_POLLING=true
- CORE_HOST=localhost
- CORE_PORT=1865
- QDRANT_HOST=cheshire-cat-vector-memory
- QDRANT_PORT=6333
- CORE_USE_SECURE_PROTOCOLS=false
- API_KEY=
- LOG_LEVEL=INFO
- DEBUG=true
- SAVE_MEMORY_SNAPSHOTS=false
- OPENAI_API_BASE=http://llama-swap-amd:8080/v1
ports:
- "1865:80" # Cat admin UI on host port 1865
volumes:
- ./cheshire-cat/cat/static:/app/cat/static
- ./cat-plugins:/app/cat/plugins # Shared plugins directory
- ./cheshire-cat/cat/data:/app/cat/data # Personality data (lore, prompts)
- ./cheshire-cat/cat/log.py:/app/cat/log.py # Patched: fix loguru KeyError for third-party libs
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:80/"]
interval: 15s
timeout: 10s
retries: 8
start_period: 45s # Cat takes a while to load embedder + plugins
cheshire-cat-vector-memory:
image: qdrant/qdrant:v1.9.1
container_name: miku-qdrant
environment:
- LOG_LEVEL=INFO
ports:
- "6333:6333" # Qdrant REST API (for debugging)
ulimits:
nofile:
soft: 65536
hard: 65536
volumes:
- ./cheshire-cat/cat/long_term_memory/vector:/qdrant/storage
restart: unless-stopped
# ========== Discord Bot ==========
miku-bot:
build: ./bot
container_name: miku-bot
volumes:
- ./bot/memory:/app/memory
- /home/koko210Serve/ComfyUI/output:/app/ComfyUI/output:ro
- /var/run/docker.sock:/var/run/docker.sock # Allow container management
depends_on:
llama-swap:
condition: service_healthy
llama-swap-amd:
condition: service_healthy
cheshire-cat:
condition: service_healthy
environment:
- DISCORD_BOT_TOKEN=MTM0ODAyMjY0Njc3NTc0NjY1MQ.GXsxML.nNCDOplmgNxKgqdgpAomFM2PViX10GjxyuV8uw
- LLAMA_URL=http://llama-swap:8080
- LLAMA_AMD_URL=http://llama-swap-amd:8080 # Secondary AMD GPU endpoint
- TEXT_MODEL=llama3.1
- VISION_MODEL=vision
- OWNER_USER_ID=209381657369772032 # Your Discord user ID for DM analysis reports
- FACE_DETECTOR_STARTUP_TIMEOUT=60
# Cheshire Cat integration (Phase 3)
- CHESHIRE_CAT_URL=http://cheshire-cat:80
- USE_CHESHIRE_CAT=true
ports:
- "3939:3939"
networks:
- default # Stay on default for llama-swap + cheshire-cat communication
- miku-voice # Connect to voice network for RVC/TTS
restart: unless-stopped
# ========== Voice / STT ==========
miku-stt:
build:
context: ./stt-realtime
dockerfile: Dockerfile
container_name: miku-stt
runtime: nvidia
environment:
- NVIDIA_VISIBLE_DEVICES=0 # GTX 1660
- CUDA_VISIBLE_DEVICES=0
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
- STT_HOST=0.0.0.0
- STT_PORT=8766
- STT_HTTP_PORT=8767 # HTTP health check port
volumes:
- stt-models:/root/.cache/huggingface # Persistent model storage
ports:
- "8766:8766" # WebSocket port
- "8767:8767" # HTTP health check port
networks:
- miku-voice
deploy:
resources:
reservations:
devices:
- driver: nvidia
device_ids: ['0'] # GTX 1660
capabilities: [gpu]
restart: unless-stopped
# ========== Tools (on-demand) ==========
anime-face-detector:
build: ./face-detector
container_name: anime-face-detector
runtime: nvidia
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
volumes:
- ./face-detector/api:/app/api
- ./face-detector/images:/app/images
ports:
- "7860:7860" # Gradio UI
- "6078:6078" # FastAPI API
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
restart: "no" # Don't auto-restart - only run on-demand
profiles:
- tools # Don't start by default
networks:
miku-voice:
external: true
name: miku-voice-network
volumes:
stt-models:
name: miku-stt-models