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fix squash merge issues

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Josh Hawkins 2026-02-28 16:04:05 -06:00
parent 0306558ee8
commit 3c11397be5
4 changed files with 1 additions and 33 deletions
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1
docs/docs/configuration/genai/config.md
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@ -105,7 +105,6 @@ genai:
keep_alive: -1
options:
num_ctx: 8192 # make sure the context matches other services that are using ollama
num_ctx: 8192 # make sure the context matches other services that are using ollama
```
### OpenAI-Compatible

2
docs/docs/configuration/genai/objects.md
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@ -11,7 +11,6 @@ By default, descriptions will be generated for all tracked objects and all zones
Optionally, you can generate the description using a snapshot (if enabled) by setting `use_snapshot` to `True`. By default, this is set to `False`, which sends the uncompressed images from the `detect` stream collected over the object's lifetime to the model. Once the object lifecycle ends, only a single compressed and cropped thumbnail is saved with the tracked object. Using a snapshot might be useful when you want to _regenerate_ a tracked object's description as it will provide the AI with a higher-quality image (typically downscaled by the AI itself) than the cropped/compressed thumbnail. Using a snapshot otherwise has a trade-off in that only a single image is sent to your provider, which will limit the model's ability to determine object movement or direction.
Generative AI object descriptions can also be toggled dynamically for a camera via MQTT with the topic `frigate/<camera_name>/object_descriptions/set`. See the [MQTT documentation](/integrations/mqtt#frigatecamera_nameobject_descriptionsset).
Generative AI object descriptions can also be toggled dynamically for a camera via MQTT with the topic `frigate/<camera_name>/object_descriptions/set`. See the [MQTT documentation](/integrations/mqtt#frigatecamera_nameobject_descriptionsset).
## Usage and Best Practices
@ -76,4 +75,3 @@ Many providers also have a public facing chat interface for their models. Downlo
- OpenAI - [ChatGPT](https://chatgpt.com)
- Gemini - [Google AI Studio](https://aistudio.google.com)
- Ollama - [Open WebUI](https://docs.openwebui.com/)

29
frigate/video.py
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@ -244,35 +244,6 @@ class CameraWatchdog(threading.Thread):
self._last_detect_status = status
self._last_status_update_time = now
def _send_record_status(self, status: str, now: float) -> None:
"""Send record status only if changed or retry_interval has elapsed."""
if (
status != self._last_record_status
or (now - self._last_status_update_time) >= self.sleeptime
):
self.requestor.send_data(f"{self.config.name}/status/record", status)
self._last_record_status = status
self._last_status_update_time = now
# Stall tracking (based on last processed frame)
self._stall_timestamps: deque[float] = deque()
self._stall_active: bool = False
# Status caching to reduce message volume
self._last_detect_status: str | None = None
self._last_record_status: str | None = None
self._last_status_update_time: float = 0.0
def _send_detect_status(self, status: str, now: float) -> None:
"""Send detect status only if changed or retry_interval has elapsed."""
if (
status != self._last_detect_status
or (now - self._last_status_update_time) >= self.sleeptime
):
self.requestor.send_data(f"{self.config.name}/status/detect", status)
self._last_detect_status = status
self._last_status_update_time = now
def _send_record_status(self, status: str, now: float) -> None:
"""Send record status only if changed or retry_interval has elapsed."""
if (

2
web/vite.config.ts
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@ -4,7 +4,7 @@ import { defineConfig } from "vite";
import react from "@vitejs/plugin-react-swc";
import monacoEditorPlugin from "vite-plugin-monaco-editor";
const proxyHost = process.env.PROXY_HOST || "1ocalhost:5000";
const proxyHost = process.env.PROXY_HOST || "localhost:5000";
// https://vitejs.dev/config/
export default defineConfig({