4 Commits

Include renames

Author	SHA1	Message	Date
bvandeusenandClaude Opus 4.8	7b10f4caab	fix(agent): cuDNN base image so onnxruntime-gpu loads (#114) ... onnxruntime-gpu needs cuDNN 9; the plain cuda:12.4.1-runtime image lacks it (libcudnn.so.9 missing → CUDAExecutionProvider falls back to CPU). Switch to the -cudnn-runtime variant which bundles cuDNN 9. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 18:47:59 -04:00
bvandeusenandClaude Opus 4.8	b6b151a500	docs(agent): docker-compose for the GPU agent ... 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	2026-06-29 18:07:33 -04:00
bvandeusenandClaude Opus 4.8	9449241fc2	ci(agent): publish the GPU agent image (build-agent job) ... Build + push fabledcurator-agent alongside web/ml (own CUDA + onnxruntime-gpu image, context=agent/, same tag cadence: main → :main/:latest/:c-<sha>, tag → :<version>). So the operator PULLS + runs it on the GPU machine instead of building locally. README switched to docker pull. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 14:26:03 -04:00
bvandeusenandClaude Opus 4.8	8419ebd761	feat(agent): desktop GPU agent container — CCIP + figure crops over HTTP (#114) ... The last piece: a Dockerised desktop-GPU worker that talks to FC ONLY over HTTP (lease → fetch pixels → detect figures + CCIP-embed → submit), so Redis/Postgres stay private. New top-level agent/ (outside CI scope — verified by running it): - fc_agent/worker.py: the lease/compute/submit loop, concurrency 1, start/pause/ stop (stop frees the card; unprocessed leases expire + re-queue). - fc_agent/models.py: imgutils wrappers — detect_person (figures) + CCIP embed. The two API seams to verify against the installed dghs-imgutils (flagged). - fc_agent/media.py: stills + video frame sampling (ffmpeg) at FC's cadence → per-frame instances (the bag). - fc_agent/crops.py: vendored crop primitive. client.py: the FC HTTP client. - fc_agent/app.py: FastAPI localhost control UI (start/pause/stop + progress + queue depth). Dockerfile (CUDA + onnxruntime-gpu + ffmpeg) + requirements + README (token → build → run --gpus all → Start; CPU-fallback path). This completes the CCIP pipeline end to end: agent produces region CCIP vectors → RegionService stores → matcher suggests characters → rail. Verified by running on the desktop (not CI). README calls out the imgutils API + model-string checks. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 14:03:01 -04:00