u/jagauthier

Work has implemented CMMC controls. It's been a change with flexibility, but we're adjusting. One of the tools I use for development requires java to run (STM32CubeMX)

It's now blocked. I asked about it and I was told that "Java is bad (according to CMMC)"
I can understand why. But it doesn't change my requirement for needed the tool.

Is there a happy medium that can be deployed that will get this to work, but also fit within the confines of CMMC?

Zoo frequently runs commands in my workflow. I like to allow harmless commands (find, ls, grep, cd, aw, head, tail) commands that it uses to explore while it's solving problems.
The issue - is that if I enable "execute", it completely ignores this list and does what it wants.

https://preview.redd.it/ssyqe1jbp24h1.png?width=465&format=png&auto=webp&s=7d7d93e7d1f50bc9ea4e2f9732b34762d257a115

For example, in this environment, not only did the agent "make" (allowed), it also executed the program it built (NOT in this list)

Does anyone else have this issue?

I had my frigate instance shutdown for ~7-8 months due to relocations. I've brought it back up, and I've deployed some cameras. I moved from 0.15, to 0.17.

I'm trying to get generative AI working for reviews, summaries, objects, etc.
I read the documentation, I added the sections.

I put my config into their helper AI bot (and it does guide me to add wrong config at times)

But, absolutely nothing is logged in frigate, and there are no called made to my openAI compatible API endpoint. What else do I have to do?

environment_vars:
  OPENAI_BASE_URL: https://open-webui.host/api/chat/completions

genai:
  provider: openai
  api_key: key
  model: Qwen3-VL-8B-Instruct-Q4_K_M.gguf
  provider_options:
    context_size: 10240 

mqtt:
  enabled: true
  host: mqtt.host
  port: 1883
  user: user
  password: password

logger:
  default: info
  logs:
    frigate.genai: debug

semantic_search:
  enabled: true
  reindex: false

auth:
  failed_login_rate_limit: 1/second;5/minute;20/hour
  trusted_proxies:
    - network/24

go2rtc:

  streams:
    Driveway:
      - ffmpeg:rtsp://192.168.88.20:554/h264?username=grde&password=hgdedd#video=copy#audio=aac

    Driveway_sub:
      - ffmpeg:rtsp://192.168.88.20:554/h264cif?username=hfdn&password=jfdfrg#video=copy#audio=aac

record:
  enabled: true
  motion:
    days: 30
  alerts:
    retain:
      days: 30
      mode: motion
  detections:
    retain:
      days: 30
      mode: motion

cameras:

  Driveway:
    enabled: true
    detect:
      enabled: true
      width: 640
      height: 360
      fps: 5
    snapshots:
      enabled: true
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-copy
      hwaccel_args: preset-intel-qsv-h264
      inputs:
        - path: rtsp://0.0.0.0:8554/Driveway 
          input_args: preset-rtsp-restream
          roles:
            - record

        - path: rtsp://0.0.0.0:8554/Driveway_sub 
          input_args: preset-rtsp-restream
          roles:
            - audio
            - detect
    motion:
      mask: 0.647,0.901,0.976,0.899,0.978,0.957,0.649,0.954
    objects:
      track:
        - person
        - cat
        - dog
        - bicycle
        - bear
        - horse
        - sheep
        - car
        - truck
        - bear
        - cow
        - horse

      filters:
        person: {}
    zones: {}

detectors:
  coral:
    type: edgetpu
    device: usb

model:
  labelmap_path: /labelmap.txt
  width: 300
  height: 300
  path: /models/ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite

review:
  genai:
    enabled: true

objects:
  genai:
    enabled: true
    use_snapshot: true

  track:
    - person
    - cat
    - dog
    - bicycle
    - bear
    - horse
    - sheep
    - car
    - truck
    - bear
    - cow
    - horse


version: 0.17-0

Any recommendations for a Lochinvar boiler? My normal HVAC people do not service it, and the installer (2019) doesn't seem to exist anymore.

Edit: This is fixed.

HA get an IP address from somewhere fot NTP?

But in my case HA has a static mapping in my DHP server. So i assigned NTP servers in the DHCP server, rebooted HAOS, and it picked up the new NTP servers and synced.

I'm running HAOS on an Intel NUC.
I've been setting the time manually, but every time I shutdown for any period of time, the clock is off.

I get these in the HA logs:

2026-05-01 21:41:19.251 homeassistant systemd-timesyncd[126561]: Timed out waiting for reply from 185.103.216.7:123 (185.103.216.7).

2026-05-01 21:42:01.752 homeassistant systemd-timesyncd[126561]: Timed out waiting for reply from 185.103.216.7:123 (185.103.216.7).

2026-05-01 21:43:16.252 homeassistant systemd-timesyncd[126561]: Timed out waiting for reply from 185.103.216.7:123 (185.103.216.7).

2026-05-01 21:45:34.752 homeassistant systemd-timesyncd[126561]: Timed out waiting for reply from 185.103.216.7:123 (185.103.216.7).

2026-05-01 21:46:09.095 homeassistant systemd[1]: Stopping Network Time Synchronization...

2026-05-01 21:46:09.106 homeassistant systemd[1]: systemd-timesyncd.service: Deactivated successfully.

2026-05-01 21:46:09.106 homeassistant systemd[1]: Stopped Network Time Synchronization.

2026-05-01 21:46:09.109 homeassistant systemd[1]: Starting Network Time Synchronization...

2026-05-01 21:46:09.240 homeassistant systemd[1]: Started Network Time Synchronization.

I have searched and searched, and I cannot figure out how to get this corrected.

Edit: The IP address being used is not accessible.

$ ping 185.103.216.7

PING 185.103.216.7 (185.103.216.7) 56(84) bytes of data.

^C

--- 185.103.216.7 ping statistics ---

3 packets transmitted, 0 received, 100% packet loss, time 2069ms

Last year I moved. In doing so I shut down my Frigate instance. I've finally set myself back up in a house and I'm ready to get my cameras deployed again.

My frigate system is an Intel NUC with an iGPU. I also had a Coral device attached (which I still own).

I also have a system with multiple GPUs that I run various LLMs on.

Given a general idea of what I have at my disposal, here is what I would like:

* Better model detection. The model I was doing did not have great detection for animals. Where I live now, I have a variety of wildlife. I want to be able to distinguish what enters my camera view. I am willing to train models if needed.

* LLM analysis - it's not the fastest to send images, process, and get a response. So I don't necessarily want to use it for immediate detection (and I'm not sure frigate even can do that), but I do like processing images sequentially, getting a summary.

* Daily summarize. I guess I could probably go through all the detection and send them to an LLM for this. But if there's a better way.

* Facial recognition would be nice but not critical. I think newer version of Frigate were/are doing this. The last running version I had was 0.15.3.

* CCTV-esque. I'd like to have a monitor with my video feeds that I could quickly just navigate. I'm guess I could run the frigate web interface full screen on a dedicated machine.

* Camera growth. I have 4 POE cameras, but I want more. Mine are also 2 stream. They are good cameras. But I want better night vision, as well as good recordings. I read on another thread the Reolink colorx could be a good candidate.

Thanks for reading and sharing solutions, suggestions.