Files
webber/webber-api/.env.example
T
jpmschweitzerandClaude 9d58df85f3 fix(config): default agent model to gemma4:e2b
mistral-nemo-large holds ~9.2 GB of the 11 GB card it shares with Speaches,
which starves Whisper and breaks voice transcription. gemma4:e2b holds
1.9 GB and is faster. The deployed stack already overrides this via
OLLAMA_AGENT_MODEL; this aligns the default so a deployment without that
override does not reintroduce the contention.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-07 14:58:57 +02:00

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# Webber Configuration
# Copy to .env and customize
# Application
DEBUG=true
LOG_LEVEL=DEBUG
# Server
HOST=0.0.0.0
PORT=8086
# CORS (comma-separated)
CORS_ORIGINS=["http://localhost:3000","http://localhost:8080"]
# LLM - Ollama (tower-of-joy)
OLLAMA_URL=http://192.168.86.149:11434
OLLAMA_AGENT_MODEL=gemma4:e2b
OLLAMA_EMBED_MODEL=nomic-embed-text:latest
# Auth - Tatlock integration (optional)
# TATLOCK_API_URL=http://tatlock:8000
# INTERNAL_API_KEY=your-internal-key
# Web search - SearXNG (container name on docker-dataplane; internal port 8080)
# SEARXNG_URL=http://searxng:8080
# Tool execution
TOOL_TIMEOUT_SECONDS=120
SANDBOX_ENABLED=true
# ALLOWED_PATHS=["/home/user/projects","/tmp/webber"]
# Sessions
SESSION_TTL_HOURS=24
MAX_CONTEXT_TOKENS=128000