scripts/preflight.py (stdlib-only, no psutil):
- Port probing: owned services auto-reassign to next free port; external
services (Ollama) show ✓ reachable / ⚠ not responding
- System resources: CPU cores, RAM (total + available), GPU VRAM via
nvidia-smi; works on Linux + macOS
- Profile recommendation: remote / cpu / single-gpu / dual-gpu
- vLLM KV cache offload: calculates CPU_OFFLOAD_GB when VRAM < 10 GB
free and RAM headroom > 4 GB (uses up to 25% of available headroom)
- Writes resolved values to .env for docker compose; single-service mode
(--service streamlit) for scripted port queries
- Exit 0 unless an owned port genuinely can't be resolved
scripts/manage-ui.sh:
- Calls preflight.py --service streamlit before bind; falls back to
pure-bash port scan if Python/yaml unavailable
compose.yml:
- vllm command: adds --cpu-offload-gb ${CPU_OFFLOAD_GB:-0}
Makefile:
- start / restart depend on preflight target
- PYTHON variable for env portability
- test target uses PYTHON variable
103 lines
2.7 KiB
YAML
103 lines
2.7 KiB
YAML
# compose.yml — Peregrine by Circuit Forge LLC
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# Profiles: remote | cpu | single-gpu | dual-gpu
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services:
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app:
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build: .
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ports:
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- "${STREAMLIT_PORT:-8501}:8501"
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volumes:
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- ./config:/app/config
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- ./data:/app/data
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- ${DOCS_DIR:-~/Documents/JobSearch}:/docs
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environment:
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- STAGING_DB=/app/data/staging.db
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- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
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- OPENAI_COMPAT_URL=${OPENAI_COMPAT_URL:-}
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- OPENAI_COMPAT_KEY=${OPENAI_COMPAT_KEY:-}
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depends_on:
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searxng:
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condition: service_healthy
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restart: unless-stopped
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searxng:
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image: searxng/searxng:latest
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ports:
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- "${SEARXNG_PORT:-8888}:8080"
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volumes:
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- ./docker/searxng:/etc/searxng:ro
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healthcheck:
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test: ["CMD", "wget", "-q", "--spider", "http://localhost:8080/"]
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interval: 10s
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timeout: 5s
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retries: 3
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restart: unless-stopped
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ollama:
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image: ollama/ollama:latest
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ports:
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- "${OLLAMA_PORT:-11434}:11434"
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volumes:
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- ${OLLAMA_MODELS_DIR:-~/models/ollama}:/root/.ollama
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- ./docker/ollama/entrypoint.sh:/entrypoint.sh
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environment:
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- OLLAMA_MODELS=/root/.ollama
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- DEFAULT_OLLAMA_MODEL=${OLLAMA_DEFAULT_MODEL:-llama3.2:3b}
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entrypoint: ["/bin/bash", "/entrypoint.sh"]
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profiles: [cpu, single-gpu, dual-gpu]
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restart: unless-stopped
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ollama-gpu:
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extends:
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service: ollama
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids: ["0"]
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capabilities: [gpu]
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profiles: [single-gpu, dual-gpu]
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vision:
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build:
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context: .
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dockerfile: scripts/vision_service/Dockerfile
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ports:
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- "${VISION_PORT:-8002}:8002"
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environment:
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- VISION_MODEL=${VISION_MODEL:-vikhyatk/moondream2}
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- VISION_REVISION=${VISION_REVISION:-2025-01-09}
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids: ["0"]
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capabilities: [gpu]
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profiles: [single-gpu, dual-gpu]
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restart: unless-stopped
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vllm:
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image: vllm/vllm-openai:latest
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ports:
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- "${VLLM_PORT:-8000}:8000"
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volumes:
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- ${VLLM_MODELS_DIR:-~/models/vllm}:/models
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command: >
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--model /models/${VLLM_MODEL:-Ouro-1.4B}
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--trust-remote-code
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--max-model-len 4096
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--gpu-memory-utilization 0.75
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--enforce-eager
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--max-num-seqs 8
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--cpu-offload-gb ${CPU_OFFLOAD_GB:-0}
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids: ["1"]
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capabilities: [gpu]
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profiles: [dual-gpu]
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restart: unless-stopped
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