Consolidate Tatlock API into new agents stack and add Webber LLM agent orchestration service. Webber provides autonomous agent execution with tool use, authenticating via Tatlock API. Changes: - Add stacks/agents.yml with Tatlock (port 8000) and Webber (port 8086) - Remove stacks/tatlock.yml (merged into agents stack) - Document Webber service in CONTAINERS.md (Redis DB 9) - Add full Tatlock API documentation to CONTAINERS.md Config updates (pre-existing): - core-api: Enable OIDC, add host stats access, simplify model config - gitea: Migrate from dedicated DB to postgres-shared - media: Remove GPU reservation from Jellyfin Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
148 lines
3.8 KiB
YAML
148 lines
3.8 KiB
YAML
version: '3.8'
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# Agents Stack - LLM Agent Services
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# Purpose: AI agent orchestration APIs (Tatlock + Webber)
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# Ports: 8000 (Tatlock), 8086 (Webber)
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# Network: docker-dataplane
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# Images: git.schweitz.internal/jpmschweitzer/tatlock, git.schweitz.internal/jpmschweitzer/webber
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services:
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# ============================================
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# Tatlock - The Homelab Butler
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# OpenAI-compatible API with LLM agent orchestration
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# Port: 8000
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# ============================================
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tatlock:
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image: git.schweitz.internal/jpmschweitzer/tatlock:latest
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container_name: tatlock
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restart: unless-stopped
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ports:
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- "8000:8000"
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environment:
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- ENVIRONMENT=production
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- API_HOST=0.0.0.0
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- API_PORT=8000
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# Ollama (shared service)
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- OLLAMA_HOST=http://ollama:11434
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- OLLAMA_DEFAULT_MODEL=mistral-nemo:latest
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- OLLAMA_TIMEOUT=120
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# SearXNG (optional, shared service)
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- SEARXNG_HOST=http://searxng:8080
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- SEARXNG_TIMEOUT=30
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# Qdrant (vector database)
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- QDRANT_HOST=qdrant
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- QDRANT_PORT=6333
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# Redis (shared service)
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- REDIS_HOST=redis-shared
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- REDIS_PORT=6379
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- REDIS_MEMORY_DB=1
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- REDIS_BENCHMARK_DB=6
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- REDIS_TIMEOUT=5
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# Features
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- ENABLE_BENCHMARKS=true
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- CORS_ORIGINS=["*"]
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- PYTHONPATH=/app
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# Library Desk API
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- LIBRARY_DESK_HOST=http://library-desk:8089
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- LIBRARY_DESK_API_KEY=${LIBRARY_API_KEY}
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volumes:
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- /home/jpmschweitzer/docker-data/tatlock/logs:/app/logs
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networks:
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- docker-dataplane
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deploy:
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resources:
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limits:
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cpus: '1.0'
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memory: 1G
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reservations:
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memory: 256M
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labels:
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- "com.centurylinklabs.watchtower.enable=true"
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 30s
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# ============================================
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# Webber - LLM Agent Orchestration API
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# Autonomous agent execution with tool use
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# Port: 8086
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# ============================================
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webber:
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image: git.schweitz.internal/jpmschweitzer/webber:latest
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container_name: webber
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restart: unless-stopped
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ports:
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- "8086:8086"
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environment:
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# App settings
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- DEBUG=false
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- LOG_LEVEL=INFO
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- PYTHONPATH=/app
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# Server config
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- HOST=0.0.0.0
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- PORT=8086
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# CORS
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- CORS_ORIGINS=["*"]
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- CORS_METHODS=["*"]
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- CORS_HEADERS=["*"]
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# Ollama (shared service) - LLM Models hot in VRAM
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- OLLAMA_URL=http://ollama:11434
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- OLLAMA_AGENT_MODEL=mistral-nemo:latest
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- OLLAMA_EMBED_MODEL=nomic-embed-text:latest
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# Auth - Tatlock API for user validation
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- TATLOCK_API_URL=http://tatlock:8000
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- TATLOCK_API_KEY=${WEBBER_TATLOCK_API_KEY}
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# Tool execution settings
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- TOOL_TIMEOUT_SECONDS=30
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- SANDBOX_ENABLED=true
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- ALLOWED_PATHS=/app/sandbox,/tmp
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# Session management
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- SESSION_TTL_HOURS=24
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- MAX_CONTEXT_TOKENS=8192
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# Redis (shared service)
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- REDIS_HOST=redis-shared
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- REDIS_PORT=6379
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- REDIS_DB=9
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volumes:
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- /home/jpmschweitzer/docker-data/webber/logs:/app/logs
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- /home/jpmschweitzer/docker-data/webber/sandbox:/app/sandbox
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networks:
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- docker-dataplane
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deploy:
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resources:
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limits:
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cpus: '1.0'
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memory: 1G
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reservations:
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memory: 256M
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labels:
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- "com.centurylinklabs.watchtower.enable=true"
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8086/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 30s
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networks:
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docker-dataplane:
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external: true
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name: docker-dataplane
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