Merge d007bd0a6f into ad9092d0da

docker/main/requirements-wheels.txt

@@ -11,7 +11,7 @@ joserfc == 1.2.*
 cryptography == 44.0.*
 pathvalidate == 3.3.*
 markupsafe == 3.0.*
-python-multipart == 0.0.26
+python-multipart == 0.0.20
 # Classification Model Training
 tensorflow == 2.19.* ; platform_machine == 'aarch64'
 tensorflow-cpu == 2.19.* ; platform_machine == 'x86_64'

docs/docs/integrations/third_party_extensions.md

@@ -39,10 +39,6 @@ This is a fork (with fixed errors and new features) of [original Double Take](ht
 
 [Frigate telegram](https://github.com/OldTyT/frigate-telegram) makes it possible to send events from Frigate to Telegram. Events are sent as a message with a text description, video, and thumbnail.
 
-## [kiosk-monitor](https://github.com/extremeshok/kiosk-monitor)
-
-[kiosk-monitor](https://github.com/extremeshok/kiosk-monitor) is a Raspberry Pi watchdog that runs Chromium fullscreen on a Frigate dashboard (optionally with VLC on a second monitor for an RTSP camera stream), auto-restarts on frozen screens or unreachable URLs, and ships a Birdseye-aware Chromium helper that auto-sizes the grid to the display.
-
 ## [Periscope](https://github.com/maksz42/periscope)
 
 [Periscope](https://github.com/maksz42/periscope) is a lightweight Android app that turns old devices into live viewers for Frigate. It works on Android 2.2 and above, including Android TV. It supports authentication and HTTPS.

docs/package-lock.json

@@ -10904,9 +10904,9 @@
       "license": "MIT"
     },
     "node_modules/express/node_modules/path-to-regexp": {
-      "version": "0.1.13",
-      "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.13.tgz",
-      "integrity": "sha512-A/AGNMFN3c8bOlvV9RreMdrv7jsmF9XIfDeCd87+I8RNg6s78BhJxMu69NEMHBSJFxKidViTEdruRwEk/WIKqA==",
+      "version": "0.1.12",
+      "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.12.tgz",
+      "integrity": "sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ==",
       "license": "MIT"
     },
     "node_modules/express/node_modules/range-parser": {

frigate/embeddings/maintainer.py

@@ -310,10 +310,6 @@ class EmbeddingMaintainer(threading.Thread):
             self._handle_custom_classification_update(topic, payload)
             return
 
-        if topic == "config/genai":
-            self.config.genai = payload
-            self.genai_manager.update_config(self.config)
-
         # Broadcast to all processors — each decides if the topic is relevant
         for processor in self.realtime_processors:
             processor.update_config(topic, payload)

frigate/genai/ollama.py

@@ -113,15 +113,6 @@ class OllamaClient(GenAIClient):
                 schema = response_format.get("json_schema", {}).get("schema")
                 if schema:
                     ollama_options["format"] = self._clean_schema_for_ollama(schema)
-            logger.debug(
-                "Ollama generate request: model=%s, prompt_len=%s, image_count=%s, "
-                "has_format=%s, options=%s",
-                self.genai_config.model,
-                len(prompt),
-                len(images) if images else 0,
-                "format" in ollama_options,
-                {k: v for k, v in ollama_options.items() if k != "format"},
-            )
             result = self.provider.generate(
                 self.genai_config.model,
                 prompt,
@@ -129,24 +120,9 @@ class OllamaClient(GenAIClient):
                 **ollama_options,
             )
             logger.debug(
-                "Ollama generate response: done=%s, done_reason=%s, eval_count=%s, "
-                "prompt_eval_count=%s, response_len=%s",
-                result.get("done"),
-                result.get("done_reason"),
-                result.get("eval_count"),
-                result.get("prompt_eval_count"),
-                len(result.get("response", "") or ""),
+                f"Ollama tokens used: eval_count={result.get('eval_count')}, prompt_eval_count={result.get('prompt_eval_count')}"
             )
-            response_text = str(result["response"]).strip()
-            if not response_text:
-                logger.warning(
-                    "Ollama returned a blank response for model %s (done_reason=%s, "
-                    "eval_count=%s). Check model output, ensure thinking is disabled.",
-                    self.genai_config.model,
-                    result.get("done_reason"),
-                    result.get("eval_count"),
-                )
-            return response_text
+            return str(result["response"]).strip()
         except (
             TimeoutException,
             ResponseError,

frigate/genai/openai.py

@@ -80,23 +80,7 @@ class OpenAIClient(GenAIClient):
                 and hasattr(result, "choices")
                 and len(result.choices) > 0
             ):
-                message = result.choices[0].message
-                content = message.content
-
-                if not content:
-                    # When reasoning is enabled for some OpenAI backends the actual response
-                    # is incorrectly placed in reasoning_content instead of content.
-                    # This is buggy/incorrect behavior — reasoning should not be
-                    # enabled for these models.
-                    reasoning_content = getattr(message, "reasoning_content", None)
-                    if reasoning_content:
-                        logger.warning(
-                            "Response content was empty but reasoning_content was provided; "
-                            "reasoning appears to be enabled and should be disabled for this model."
-                        )
-                        content = reasoning_content
-
-                return str(content.strip()) if content else None
+                return str(result.choices[0].message.content.strip())
             return None
         except (TimeoutException, Exception) as e:
             logger.warning("OpenAI returned an error: %s", str(e))

frigate/util/services.py

@@ -711,44 +711,23 @@ def ffprobe_stream(ffmpeg, path: str, detailed: bool = False) -> sp.CompletedPro
     else:
         format_entries = None
 
-    def run(rtsp_transport: Optional[str] = None) -> sp.CompletedProcess:
-        cmd = [ffmpeg.ffprobe_path]
-        if rtsp_transport:
-            cmd += ["-rtsp_transport", rtsp_transport]
-        cmd += [
-            "-timeout",
-            "1000000",
-            "-print_format",
-            "json",
-            "-show_entries",
-            f"stream={stream_entries}",
-        ]
-        if detailed and format_entries:
-            cmd.extend(["-show_entries", f"format={format_entries}"])
-        cmd.extend(["-loglevel", "error", clean_path])
-        try:
-            return sp.run(cmd, capture_output=True, timeout=6)
-        except sp.TimeoutExpired as e:
-            logger.info(
-                "ffprobe timed out while probing %s (transport=%s)",
-                clean_camera_user_pass(path),
-                rtsp_transport or "default",
-            )
-            return sp.CompletedProcess(
-                args=cmd,
-                returncode=1,
-                stdout=e.stdout or b"",
-                stderr=(e.stderr or b"") + b"\nffprobe timed out",
-            )
+    ffprobe_cmd = [
+        ffmpeg.ffprobe_path,
+        "-timeout",
+        "1000000",
+        "-print_format",
+        "json",
+        "-show_entries",
+        f"stream={stream_entries}",
+    ]
 
-    result = run()
+    # Add format entries for detailed mode
+    if detailed and format_entries:
+        ffprobe_cmd.extend(["-show_entries", f"format={format_entries}"])
 
-    # For RTSP: retry with explicit TCP transport if the first attempt failed
-    # (default UDP may be blocked)
-    if result.returncode != 0 and clean_path.startswith("rtsp://"):
-        result = run(rtsp_transport="tcp")
+    ffprobe_cmd.extend(["-loglevel", "error", clean_path])
 
-    return result
+    return sp.run(ffprobe_cmd, capture_output=True)
 
 
 def vainfo_hwaccel(device_name: Optional[str] = None) -> sp.CompletedProcess:
@@ -845,23 +824,11 @@ async def get_video_properties(
             "-show_streams",
             url,
         ]
-        proc = None
         try:
             proc = await asyncio.create_subprocess_exec(
                 *cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE
             )
-            try:
-                stdout, _ = await asyncio.wait_for(proc.communicate(), timeout=6)
-            except asyncio.TimeoutError:
-                logger.info(
-                    "ffprobe timed out while probing %s (transport=%s)",
-                    clean_camera_user_pass(url),
-                    rtsp_transport or "default",
-                )
-                proc.kill()
-                await proc.wait()
-                return False, 0, 0, None, -1
-
+            stdout, _ = await proc.communicate()
             if proc.returncode != 0:
                 return False, 0, 0, None, -1
 

web/package-lock.json

@@ -54,7 +54,7 @@
         "immer": "^10.1.1",
         "js-yaml": "^4.1.1",
         "konva": "^10.2.3",
-        "lodash": "^4.18.1",
+        "lodash": "^4.17.23",
         "lucide-react": "^0.577.0",
         "monaco-yaml": "^5.4.1",
         "next-themes": "^0.4.6",
@@ -9636,15 +9636,15 @@
       }
     },
     "node_modules/lodash": {
-      "version": "4.18.1",
-      "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.18.1.tgz",
-      "integrity": "sha512-dMInicTPVE8d1e5otfwmmjlxkZoUpiVLwyeTdUsi/Caj/gfzzblBcCE5sRHV/AsjuCmxWrte2TNGSYuCeCq+0Q==",
+      "version": "4.17.23",
+      "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.23.tgz",
+      "integrity": "sha512-LgVTMpQtIopCi79SJeDiP0TfWi5CNEc/L/aRdTh3yIvmZXTnheWpKjSZhnvMl8iXbC1tFg9gdHHDMLoV7CnG+w==",
       "license": "MIT"
     },
     "node_modules/lodash-es": {
-      "version": "4.18.1",
-      "resolved": "https://registry.npmjs.org/lodash-es/-/lodash-es-4.18.1.tgz",
-      "integrity": "sha512-J8xewKD/Gk22OZbhpOVSwcs60zhd95ESDwezOFuA3/099925PdHJ7OFHNTGtajL3AlZkykD32HykiMo+BIBI8A==",
+      "version": "4.17.23",
+      "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.23.tgz",
+      "integrity": "sha512-LgVTMpQtIopCi79SJeDiP0TfWi5CNEc/L/aRdTh3yIvmZXTnheWpKjSZhnvMl8iXbC1tFg9gdHHDMLoV7CnG+w==",
       "license": "MIT"
     },
     "node_modules/lodash.merge": {

web/package.json

@@ -68,7 +68,7 @@
     "immer": "^10.1.1",
     "js-yaml": "^4.1.1",
     "konva": "^10.2.3",
-    "lodash": "^4.18.1",
+    "lodash": "^4.17.23",
     "lucide-react": "^0.577.0",
     "monaco-yaml": "^5.4.1",
     "next-themes": "^0.4.6",

web/public/locales/en/views/settings.json

@@ -415,7 +415,7 @@
         "audioCodecGood": "Audio codec is {{codec}}.",
         "resolutionHigh": "A resolution of {{resolution}} may cause increased resource usage.",
         "resolutionLow": "A resolution of {{resolution}} may be too low for reliable detection of small objects.",
-        "resolutionUnknown": "The resolution of this stream could not be probed. You should manually set the detect resolution in Settings or your config.",
+        "resolutionUnknown": "The resolution of this stream could not be probed. This will cause issues on startup. You should manually set the detect resolution in Settings or your config.",
         "noAudioWarning": "No audio detected for this stream, recordings will not have audio.",
         "audioCodecRecordError": "The AAC audio codec is required to support audio in recordings.",
         "audioCodecRequired": "An audio stream is required to support audio detection.",

web/src/components/card/AnimatedEventCard.tsx

@@ -17,9 +17,6 @@ import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { Skeleton } from "../ui/skeleton";
 import { Button } from "../ui/button";
 import { FaCircleCheck } from "react-icons/fa6";
-import { FaExclamationTriangle } from "react-icons/fa";
-import { MdOutlinePersonSearch } from "react-icons/md";
-import { ThreatLevel } from "@/types/review";
 import { cn } from "@/lib/utils";
 import { useTranslation } from "react-i18next";
 import { getTranslatedLabel } from "@/utils/i18n";
@@ -130,11 +127,6 @@ export function AnimatedEventCard({
     true,
   );
 
-  const threatLevel = useMemo<ThreatLevel>(
-    () => (event.data.metadata?.potential_threat_level ?? 0) as ThreatLevel,
-    [event],
-  );
-
   const aspectRatio = useMemo(() => {
     if (
       !config ||
@@ -160,15 +152,7 @@ export function AnimatedEventCard({
           <Tooltip>
             <TooltipTrigger asChild>
               <Button
-                className={cn(
-                  "absolute left-2 top-1 z-40 transition-opacity",
-                  threatLevel === ThreatLevel.SECURITY_CONCERN &&
-                    "pointer-events-auto bg-severity_alert opacity-100 hover:bg-severity_alert",
-                  threatLevel === ThreatLevel.NEEDS_REVIEW &&
-                    "pointer-events-auto bg-severity_detection opacity-100 hover:bg-severity_detection",
-                  threatLevel === ThreatLevel.NORMAL &&
-                    "pointer-events-none bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 opacity-0 group-hover:pointer-events-auto group-hover:opacity-100",
-                )}
+                className="pointer-events-none absolute left-2 top-1 z-40 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 opacity-0 transition-opacity group-hover:pointer-events-auto group-hover:opacity-100"
                 size="xs"
                 aria-label={t("markAsReviewed")}
                 onClick={async () => {
@@ -176,13 +160,7 @@ export function AnimatedEventCard({
                   updateEvents();
                 }}
               >
-                {threatLevel === ThreatLevel.SECURITY_CONCERN ? (
-                  <FaExclamationTriangle className="size-3 text-white" />
-                ) : threatLevel === ThreatLevel.NEEDS_REVIEW ? (
-                  <MdOutlinePersonSearch className="size-3 text-white" />
-                ) : (
-                  <FaCircleCheck className="size-3 text-white" />
-                )}
+                <FaCircleCheck className="size-3 text-white" />
               </Button>
             </TooltipTrigger>
             <TooltipContent>{t("markAsReviewed")}</TooltipContent>

web/src/views/live/LiveCameraView.tsx

@@ -389,7 +389,7 @@ export default function LiveCameraView({
     return "mse";
   }, [lowBandwidth, mic, webRTC, isRestreamed]);
 
-  useKeyboardListener(["m", "Escape"], (key, modifiers) => {
+  useKeyboardListener(["m"], (key, modifiers) => {
     if (!modifiers.down) {
       return true;
     }
@@ -407,12 +407,6 @@ export default function LiveCameraView({
           return true;
         }
         break;
-      case "Escape":
-        if (!fullscreen) {
-          navigate(-1);
-          return true;
-        }
-        break;
     }
 
     return false;