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wavecap-config
by TobiasWooldridge
Transcribes emergency radio streams in real time, to help volunteers/rescue staff/enthusiasts stay abreast of them
⭐ 0🍴 0📅 2026年1月5日
SKILL.md
name: wavecap-config description: View and edit WaveCap configuration. Use when the user asks about Whisper settings, LLM correction config, stream settings, or wants to modify the config.yaml file.
WaveCap Configuration Skill
Use this skill to view and modify WaveCap configuration settings.
Configuration File Location
The main configuration file is at:
/Users/thw/Projects/WaveCap/state/config.yaml
View Current Configuration
Full Config
cat /Users/thw/Projects/WaveCap/state/config.yaml
Whisper Settings
cat /Users/thw/Projects/WaveCap/state/config.yaml | grep -A 30 "^whisper:"
LLM Correction Settings
cat /Users/thw/Projects/WaveCap/state/config.yaml | grep -A 15 "^llm:"
Stream Definitions
cat /Users/thw/Projects/WaveCap/state/config.yaml | grep -A 100 "^streams:"
Key Configuration Sections
Server Settings
server:
host: 0.0.0.0
port: 8000
corsOrigin: "*"
Whisper Transcription Settings
whisper:
model: large-v3-turbo # Model: base.en, small, medium, large-v3-turbo
language: en # Language code
chunkLength: 20 # Seconds per chunk (15-120)
minChunkDurationSeconds: 12 # Minimum chunk before flush
contextSeconds: 0.5 # Overlap for context
silenceThreshold: 0.02 # Audio energy threshold
silenceHoldSeconds: 1.2 # Wait after silence
maxConcurrentProcesses: 2 # Parallel transcriptions
beamSize: 8 # Decoder beam width
decodeTemperature: 0.0 # 0.0 = deterministic
LLM Correction Settings
llm:
enabled: true # Enable/disable LLM correction
model: llama-3.2-3b # Model name (see available models)
temperature: 0.1 # Generation temperature
maxTokens: 256 # Max output tokens
minTextLength: 10 # Skip short texts
domainTerms: # Custom terminology
- SITREP
- SAPOL
Available LLM Models
llama-3.2-1b- Fast, small (Llama-3.2-1B-Instruct-4bit)llama-3.2-3b- Balanced (Llama-3.2-3B-Instruct-4bit)qwen-2.5-1.5b- Fast alternative (Qwen2.5-1.5B-Instruct-4bit)qwen-2.5-3b- Balanced alternative (Qwen2.5-3B-Instruct-4bit)llama-3.2-8b- Higher quality (Llama-3.2-8B-Instruct-4bit)qwen-2.5-7b- Higher quality alternativedeepseek-r1-8b- DeepSeek R1 distilled
UI Settings
ui:
themeMode: system # system, light, dark
colorCodingEnabled: false # Color by confidence
transcriptCorrectionEnabled: false
Stream Configuration
streams:
- id: unique-stream-id
name: "Display Name"
url: https://stream-url # For audio streams
source: audio # audio, pager, remote, combined
enabled: true
pinned: false
ignoreFirstSeconds: 30 # Skip initial audio
recordingRetentionSeconds: 604800 # 7 days
Common Configuration Changes
Change Whisper Model
Edit config.yaml and change:
whisper:
model: small # or base.en, medium, large-v3-turbo
Then restart the backend.
Adjust Transcription Latency
For faster updates (shorter chunks):
whisper:
chunkLength: 15
minChunkDurationSeconds: 8
For better sentence structure (longer chunks):
whisper:
chunkLength: 45
minChunkDurationSeconds: 30
Enable/Disable LLM Correction
llm:
enabled: false # or true
Add Domain Terms for LLM
llm:
domainTerms:
- SITREP
- SAPOL
- YOUR_CUSTOM_TERM
Add Silence Hallucination Phrases
Phrases to filter when detected during silence:
whisper:
silenceHallucinationPhrases:
- "thank you"
- "transcription by castingwords"
Add a New Stream
Add to the streams array:
streams:
- id: my-new-stream
name: "My New Stream"
url: https://example.com/stream
source: audio
enabled: true
After Configuration Changes
Most config changes require a backend restart:
# Kill existing backend
pkill -f "uvicorn.*wavecap"
# Restart
cd /Users/thw/Projects/WaveCap/backend
source .venv/bin/activate
uvicorn wavecap_backend.server:create_app --factory --host 0.0.0.0 --port 8000
View Runtime Configuration via API
UI configuration (subset):
curl -s http://localhost:8000/api/ui-config | jq
Logging configuration:
curl -s http://localhost:8000/api/logging-config | jq
Access/auth configuration:
curl -s http://localhost:8000/api/access | jq
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