koko210Serve
4b5be3bf97
config.yaml nested cheshire_cat and face_detector under the 'services' key,
and llama URLs under 'services.llama'. But AppConfig expects:
- services -> {url, amd_url} (llama endpoints directly)
- cheshire_cat -> top-level key
- face_detector -> top-level key
Because Pydantic silently ignores extra fields, ServicesConfig received
{llama: {...}, cheshire_cat: {...}, face_detector: {...}} and none matched
its 'url'/'amd_url' fields, so ALL service config from YAML was silently
ignored and Pydantic defaults were always used instead.
Flattened services to contain url/amd_url directly, and moved cheshire_cat
and face_detector to top-level keys matching the AppConfig model. Verified
both AppConfig(**yaml_data) and config_manager dot-path traversal work.
56 lines
1.4 KiB
YAML
56 lines
1.4 KiB
YAML
# ============================================
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# Miku Discord Bot - Configuration
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# ============================================
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# This file contains all non-secret configuration
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# Secrets (API keys, tokens) go in .env
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# Service Endpoints
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services:
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url: http://llama-swap:8080
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amd_url: http://llama-swap-amd:8080
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cheshire_cat:
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url: http://cheshire-cat:80
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timeout_seconds: 120
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enabled: true # Set to false to disable Cheshire Cat integration
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face_detector:
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startup_timeout_seconds: 60
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# AI Models
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models:
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text: llama3.1
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vision: vision
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evil: darkidol # Uncensored model for evil mode
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japanese: swallow # Llama 3.1 Swallow model for Japanese
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# Discord Bot Settings
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discord:
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language_mode: english # Options: english, japanese
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api_port: 3939 # FastAPI server port
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# Autonomous System
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autonomous:
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debug_mode: false # Enable detailed decision logging
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# Mood settings can be configured per-server via API
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# Voice Chat
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voice:
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debug_mode: false # Enable manual commands and notifications
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# When false (production), voice operates silently
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# Memory & Logging
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memory:
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log_dir: /app/memory/logs
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conversation_history_length: 5 # Messages to keep per user
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# Server Settings
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server:
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host: 0.0.0.0
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log_level: critical # For uvicorn (access logs handled separately)
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# GPU Configuration
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gpu:
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prefer_amd: false # Prefer AMD GPU over NVIDIA
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amd_models_enabled: true
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