bvandeusen
b6b151a500
compose file (pull the published image, GPU reservation, model-cache volume, .env for the token) so the agent runs with `docker compose up -d` instead of a long docker run. A copy + .env template also placed in ~/Documents/fc-gpu-agent. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
41 lines
1.4 KiB
YAML
41 lines
1.4 KiB
YAML
# FabledCurator GPU agent — desktop run via docker compose.
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#
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# Usage:
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# 1. Generate a token: FC → Settings → Tagging → GPU agent → Generate token.
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# 2. Create a .env next to this file:
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# FC_URL=http://curator.traefik.internal
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# FC_TOKEN=<paste-the-token>
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# # optional: CCIP_MODEL=ccip-caformer_b36-24 (the F1-0.94 variant)
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# 3. docker compose up -d (pulls the published image)
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# 4. Open http://localhost:8770 → Start. Pause/Stop hands the GPU back.
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# docker compose down to stop the container entirely.
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#
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# Needs the NVIDIA Container Toolkit installed on the host for --gpus.
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services:
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fc-gpu-agent:
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image: git.fabledsword.com/bvandeusen/fabledcurator-agent:latest
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pull_policy: always
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ports:
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- "8770:8770"
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environment:
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FC_URL: ${FC_URL:-http://curator.traefik.internal}
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FC_TOKEN: ${FC_TOKEN:?set FC_TOKEN in .env (FC → GPU agent → Generate token)}
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CCIP_MODEL: ${CCIP_MODEL:-}
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DETECTOR_LEVEL: ${DETECTOR_LEVEL:-m}
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BATCH_SIZE: ${BATCH_SIZE:-4}
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volumes:
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# Persist the downloaded ONNX models so restarts are fast.
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- fc-agent-models:/models
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restart: unless-stopped
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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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count: all
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capabilities: [gpu]
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volumes:
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fc-agent-models:
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