build: the agent installs one CUDA-13 stack instead of two, the web image drops ML packages it never imported, and Redis moves to 8 (1451, 1452)

Agent:
- The image ran PyPI's CUDA-13 torch 2.14 and onnxruntime-gpu 1.30 on a
  CUDA 12.9 cudnn-runtime base. requirements.txt had silently replaced the
  Dockerfile's torch 2.6+cu124, because ultralytics pulls torchvision, which
  pulls its own torch. That left ~3 GB of base libraries and a ~3 GB torch
  nothing loaded: 10 GB compressed.
- Now: an nvidia/cuda 13.0.3 `base` image, with torch and torchvision
  installed together from cu130. CUDA and cuDNN come from the nvidia-* pip
  packages; onnxruntime-gpu declares its [cuda,cudnn] extras.
- fc_agent/accel.py preloads those libraries for onnxruntime. It then logs,
  and reports in /status, whether torch and the ONNX CUDA provider actually
  got the GPU, since both fall back to the CPU silently.

Web image:
- Drop opencv-python-headless and onnxruntime, plus the opencv-only apt libs.
  Both have been listed since the scaffold and nothing in backend/ imports
  them.
- torch/torchvision move to 2.14/0.29, and the unexplained caps are lifted
  (rule 154).

Redis: 8-alpine in both compose files and both CI service containers. That
gives an AGPLv3 licence option, where 7.4 was RSAL/SSPL only. The client
moves to >=8.1.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LVjrnpQjRgHdvq95rASoiR

agent/fc_agent/app.py

@@ -11,7 +11,7 @@ import logging
 from fastapi import FastAPI, Request
 from fastapi.responses import HTMLResponse, JSONResponse
 
-from . import logbuf
+from . import accel, logbuf
 from .build_info import FC_CHANNEL, FC_REVISION, FC_VERSION, build_id, display_version
 from .config import Config
 from .gpu import read_gpu
@@ -47,6 +47,9 @@ async def _no_store(request, call_next):
 
 @app.on_event("startup")
 def _maybe_autostart() -> None:
+    # Before the worker: the report also preloads the CUDA libraries the ONNX
+    # models need, and it says in the log which runtimes landed on the GPU.
+    accel.report()
     # With AUTO_START set, a container restart (host reboot, or `restart:
     # unless-stopped` after a crash) resumes the worker on its own — the slots
     # then ride out a still-down curator via lease backoff. Lets the agent
@@ -137,6 +140,7 @@ def status():
     s["version"] = FC_VERSION or None
     s["channel"] = FC_CHANNEL or None
     s["revision"] = FC_REVISION or None
+    s["accel"] = accel.LAST or None
     return JSONResponse(s)