vh
569e1af9ca
Move the ~22-service flat "AI Systems" group off the Main tab into a new four-tab layout (Main / AI / Infrastructure / Toolchain). The AI tab sorts the inference fleet by function into seven groups: AI - Inference gen, char-rp, char-rp-reasoning, Granite summarizer AI - Eval & Retrieval Selene, Skywork Reward, Qwen3 rerank/embed, image-bench AI - Gateways & Chat LiteLLM, Asset Engine, Gateway Chat, Open WebUI, ... AI - Speech (TTS) Chatterbox Fast, Kokoro, mOrpheus AI - Audio Tools Parakeet ASR, YT Voice Clipper AI - Image & Media ComfyUI, Arbo AI - Dormant stopped rollback seats + retired auditions Relabel each stack's homepage.group so canonical stacks/ matches the live containers on ana-ml2, ana-docker, and irv-ml1. Dormant stacks were refreshed with `docker compose up --no-start` so they carry the new label while staying stopped (compose-start rollback preserved). settings.yaml drives tab/order/ columns; services.yaml and README updated to the new scheme.
61 lines
2.7 KiB
YAML
61 lines
2.7 KiB
YAML
# asset-engine — control plane over PFI's inference fleet.
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#
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# FastAPI + HTMX/Shoelace UI. Reads the catalog at services.yaml (baked
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# into the image at build time, drift-checked in CI against the copy
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# at docs/asset-engine/services.yaml in this repo), routes requests to
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# inference hosts (irv-ml1 over WG by default), persists Assets to a
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# local SQLite WAL DB, stores generated blobs content-addressed under
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# runtime/outputs/.
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#
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# Image is built on the host from the asset-engine git repo by the
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# deploy playbook (`playbooks/deploy-asset-engine.yaml`), which clones
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# into /opt/docker/build/asset-engine and runs `docker build -t
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# asset-engine:local .` before installing this compose and bringing
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# it up. No registry.
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#
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# Internal tooling — accessed directly on host:port over the LAN, does
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# NOT traverse Traefik. State persists under /opt/docker/conf/asset-engine/
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# {db,outputs,ssh} on the host — db/outputs are separate bind-mounts so
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# outputs/ can move to a bigger volume later without touching DB state;
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# ssh/ holds the dedicated keypair used to orchestrate irv-ml1 services.
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#
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# All tunables live in .env — edit that, not this file.
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services:
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asset-engine:
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image: ${ASSET_ENGINE_IMAGE}
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container_name: asset-engine
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restart: unless-stopped
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ports:
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- "${ASSET_ENGINE_BIND:-0.0.0.0}:${ASSET_ENGINE_PORT}:8000"
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environment:
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# App always listens on 8000 internally; host port is the only knob.
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- RUNTIME_DIR=/app/runtime
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- DB_URL=sqlite:////app/runtime/db/asset_engine.db
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- INFERENCE_HOST=${INFERENCE_HOST:-10.100.79.3}
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# OIDC seam is empty in v1; populated in v2 when forward-auth lands.
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- OIDC_ISSUER=${OIDC_ISSUER:-}
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- OIDC_CLIENT_ID=${OIDC_CLIENT_ID:-}
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- OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET:-}
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# Orchestration SSH paths inside the container.
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- SSH_KEY_PATH=/app/runtime/ssh/id_ed25519
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- SSH_KNOWN_HOSTS=/app/runtime/ssh/known_hosts
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volumes:
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- ${ASSET_ENGINE_DB_DIR}:/app/runtime/db
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- ${ASSET_ENGINE_OUTPUTS_DIR}:/app/runtime/outputs
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# Dedicated SSH key for orchestrating irv-ml1 services (up/down).
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# Read-only; key is generated on the host, never crosses the network.
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- ${ASSET_ENGINE_SSH_DIR}:/app/runtime/ssh:ro
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healthcheck:
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test: ["CMD-SHELL", "python -c 'import urllib.request,sys; r=urllib.request.urlopen(\"http://127.0.0.1:8000/health\",timeout=3); sys.exit(0 if r.status==200 else 1)' || exit 1"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 30s
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labels:
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- homepage.group=AI - Gateways & Chat
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- homepage.name=Asset Engine
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- homepage.icon=mdi-tools
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- homepage.description=Control plane over the PFI inference fleet
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- homepage.href=http://10.250.50.70:${ASSET_ENGINE_PORT}
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