Bump python-multipart from 0.0.20 to 0.0.22 in /docker/main

Bumps [python-multipart](https://github.com/Kludex/python-multipart) from 0.0.20 to 0.0.22.
- [Release notes](https://github.com/Kludex/python-multipart/releases)
- [Changelog](https://github.com/Kludex/python-multipart/blob/master/CHANGELOG.md)
- [Commits](https://github.com/Kludex/python-multipart/compare/0.0.20...0.0.22)

---
updated-dependencies:
- dependency-name: python-multipart
  dependency-version: 0.0.22
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

docker/main/requirements-wheels.txt

@@ -11,7 +11,7 @@ joserfc == 1.2.*
 cryptography == 44.0.*
 pathvalidate == 3.3.*
 markupsafe == 3.0.*
-python-multipart == 0.0.20
+python-multipart == 0.0.22
 # Classification Model Training
 tensorflow == 2.19.* ; platform_machine == 'aarch64'
 tensorflow-cpu == 2.19.* ; platform_machine == 'x86_64'

frigate/genai/__init__.py

@@ -140,7 +140,12 @@ Each line represents a detection state, not necessarily unique individuals. Pare
             ) as f:
                 f.write(context_prompt)
 
-        response = self._send(context_prompt, thumbnails)
+        json_schema = {
+            "name": "review_metadata",
+            "schema": ReviewMetadata.model_json_schema(),
+            "strict": True,
+        }
+        response = self._send(context_prompt, thumbnails, json_schema=json_schema)
 
         if debug_save and response:
             with open(
@@ -152,6 +157,8 @@ Each line represents a detection state, not necessarily unique individuals. Pare
                 f.write(response)
 
         if response:
+            # With JSON schema, response should already be valid JSON
+            # But keep regex cleanup as fallback for providers without schema support
             clean_json = re.sub(
                 r"\n?```$", "", re.sub(r"^```[a-zA-Z0-9]*\n?", "", response)
             )
@@ -284,8 +291,16 @@ Guidelines:
         """Initialize the client."""
         return None
 
-    def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
-        """Submit a request to the provider."""
+    def _send(
+        self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
+    ) -> Optional[str]:
+        """Submit a request to the provider.
+
+        Args:
+            prompt: The text prompt to send
+            images: List of image bytes to include
+            json_schema: Optional JSON schema for structured output (provider-specific support)
+        """
         return None
 
     def get_context_size(self) -> int:

frigate/genai/azure-openai.py

@@ -41,29 +41,46 @@ class OpenAIClient(GenAIClient):
             azure_endpoint=azure_endpoint,
         )
 
-    def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
+    def _send(
+        self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
+    ) -> Optional[str]:
         """Submit a request to Azure OpenAI."""
         encoded_images = [base64.b64encode(image).decode("utf-8") for image in images]
+
+        request_params = {
+            "model": self.genai_config.model,
+            "messages": [
+                {
+                    "role": "user",
+                    "content": [{"type": "text", "text": prompt}]
+                    + [
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": f"data:image/jpeg;base64,{image}",
+                                "detail": "low",
+                            },
+                        }
+                        for image in encoded_images
+                    ],
+                },
+            ],
+            "timeout": self.timeout,
+        }
+
+        if json_schema:
+            request_params["response_format"] = {
+                "type": "json_schema",
+                "json_schema": {
+                    "name": json_schema.get("name", "response"),
+                    "schema": json_schema.get("schema", {}),
+                    "strict": json_schema.get("strict", True),
+                },
+            }
+
         try:
             result = self.provider.chat.completions.create(
-                model=self.genai_config.model,
-                messages=[
-                    {
-                        "role": "user",
-                        "content": [{"type": "text", "text": prompt}]
-                        + [
-                            {
-                                "type": "image_url",
-                                "image_url": {
-                                    "url": f"data:image/jpeg;base64,{image}",
-                                    "detail": "low",
-                                },
-                            }
-                            for image in encoded_images
-                        ],
-                    },
-                ],
-                timeout=self.timeout,
+                **request_params,
                 **self.genai_config.runtime_options,
             )
         except Exception as e:

frigate/genai/gemini.py

@@ -41,7 +41,9 @@ class GeminiClient(GenAIClient):
             http_options=types.HttpOptions(**http_options_dict),
         )
 
-    def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
+    def _send(
+        self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
+    ) -> Optional[str]:
         """Submit a request to Gemini."""
         contents = [
             types.Part.from_bytes(data=img, mime_type="image/jpeg") for img in images
@@ -51,6 +53,12 @@ class GeminiClient(GenAIClient):
             generation_config_dict = {"candidate_count": 1}
             generation_config_dict.update(self.genai_config.runtime_options)
 
+            if json_schema and "schema" in json_schema:
+                generation_config_dict["response_mime_type"] = "application/json"
+                generation_config_dict["response_schema"] = types.Schema(
+                    json_schema=json_schema["schema"]
+                )
+
             response = self.provider.models.generate_content(
                 model=self.genai_config.model,
                 contents=contents,

frigate/genai/ollama.py

@@ -50,7 +50,9 @@ class OllamaClient(GenAIClient):
             logger.warning("Error initializing Ollama: %s", str(e))
             return None
 
-    def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
+    def _send(
+        self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
+    ) -> Optional[str]:
         """Submit a request to Ollama"""
         if self.provider is None:
             logger.warning(
@@ -62,6 +64,10 @@ class OllamaClient(GenAIClient):
                 **self.provider_options,
                 **self.genai_config.runtime_options,
             }
+
+            if json_schema and "schema" in json_schema:
+                ollama_options["format"] = json_schema["schema"]
+
             result = self.provider.generate(
                 self.genai_config.model,
                 prompt,

frigate/genai/openai.py

@@ -31,7 +31,9 @@ class OpenAIClient(GenAIClient):
         }
         return OpenAI(api_key=self.genai_config.api_key, **provider_opts)
 
-    def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
+    def _send(
+        self, prompt: str, images: list[bytes], json_schema: Optional[dict] = None
+    ) -> Optional[str]:
         """Submit a request to OpenAI."""
         encoded_images = [base64.b64encode(image).decode("utf-8") for image in images]
         messages_content = []
@@ -51,16 +53,31 @@ class OpenAIClient(GenAIClient):
                 "text": prompt,
             }
         )
+
+        request_params = {
+            "model": self.genai_config.model,
+            "messages": [
+                {
+                    "role": "user",
+                    "content": messages_content,
+                },
+            ],
+            "timeout": self.timeout,
+        }
+
+        if json_schema:
+            request_params["response_format"] = {
+                "type": "json_schema",
+                "json_schema": {
+                    "name": json_schema.get("name", "response"),
+                    "schema": json_schema.get("schema", {}),
+                    "strict": json_schema.get("strict", True),
+                },
+            }
+
         try:
             result = self.provider.chat.completions.create(
-                model=self.genai_config.model,
-                messages=[
-                    {
-                        "role": "user",
-                        "content": messages_content,
-                    },
-                ],
-                timeout=self.timeout,
+                **request_params,
                 **self.genai_config.runtime_options,
             )
             if (

web/src/components/card/AnimatedEventCard.tsx

@@ -12,7 +12,7 @@ import { useCameraPreviews } from "@/hooks/use-camera-previews";
 import { baseUrl } from "@/api/baseUrl";
 import { VideoPreview } from "../preview/ScrubbablePreview";
 import { useApiHost } from "@/api";
-import { isDesktop, isSafari } from "react-device-detect";
+import { isSafari } from "react-device-detect";
 import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { Skeleton } from "../ui/skeleton";
 import { Button } from "../ui/button";
@@ -87,7 +87,6 @@ export function AnimatedEventCard({
   }, [visibilityListener]);
 
   const [isLoaded, setIsLoaded] = useState(false);
-  const [isHovered, setIsHovered] = useState(false);
 
   // interaction
 
@@ -134,31 +133,27 @@ export function AnimatedEventCard({
     <Tooltip>
       <TooltipTrigger asChild>
         <div
-          className="relative h-24 flex-shrink-0 overflow-hidden rounded md:rounded-lg 4k:h-32"
+          className="group relative h-24 flex-shrink-0 overflow-hidden rounded md:rounded-lg 4k:h-32"
           style={{
             aspectRatio: alertVideos ? aspectRatio : undefined,
           }}
-          onMouseEnter={isDesktop ? () => setIsHovered(true) : undefined}
-          onMouseLeave={isDesktop ? () => setIsHovered(false) : undefined}
         >
-          {isHovered && (
-            <Tooltip>
-              <TooltipTrigger asChild>
-                <Button
-                  className="absolute left-2 top-1 z-40 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                  size="xs"
-                  aria-label={t("markAsReviewed")}
-                  onClick={async () => {
-                    await axios.post(`reviews/viewed`, { ids: [event.id] });
-                    updateEvents();
-                  }}
-                >
-                  <FaCircleCheck className="size-3 text-white" />
-                </Button>
-              </TooltipTrigger>
-              <TooltipContent>{t("markAsReviewed")}</TooltipContent>
-            </Tooltip>
-          )}
+          <Tooltip>
+            <TooltipTrigger asChild>
+              <Button
+                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 () => {
+                  await axios.post(`reviews/viewed`, { ids: [event.id] });
+                  updateEvents();
+                }}
+              >
+                <FaCircleCheck className="size-3 text-white" />
+              </Button>
+            </TooltipTrigger>
+            <TooltipContent>{t("markAsReviewed")}</TooltipContent>
+          </Tooltip>
           {previews != undefined && alertVideosLoaded && (
             <div
               className="size-full cursor-pointer"

web/src/utils/iconUtil.tsx

@@ -173,9 +173,9 @@ function getVerifiedIcon(
   const simpleLabel = label.substring(0, label.lastIndexOf("-"));
 
   return (
-    <div key={label} className="relative flex items-center">
+    <div key={label} className="flex items-center">
       {getIconForLabel(simpleLabel, type, className)}
-      <FaCheckCircle className="absolute -bottom-0.5 -right-0.5 size-2" />
+      <FaCheckCircle className="absolute size-2 translate-x-[80%] translate-y-3/4" />
     </div>
   );
 }
@@ -188,9 +188,9 @@ function getRecognizedPlateIcon(
   const simpleLabel = label.substring(0, label.lastIndexOf("-"));
 
   return (
-    <div key={label} className="relative inline-flex items-center">
+    <div key={label} className="flex items-center">
       {getIconForLabel(simpleLabel, type, className)}
-      <LuScanBarcode className="absolute -bottom-0.5 -right-0.5 size-2" />
+      <LuScanBarcode className="absolute size-2.5 translate-x-[50%] translate-y-3/4" />
     </div>
   );
 }

web/src/views/settings/ObjectSettingsView.tsx

@@ -391,7 +391,7 @@ function ObjectList({ cameraConfig, objects }: ObjectListProps) {
   );
 
   return (
-    <div className="scrollbar-container relative flex w-full flex-col overflow-y-auto">
+    <div className="scrollbar-container flex w-full flex-col overflow-y-auto">
       {objects && objects.length > 0 ? (
         objects.map((obj: ObjectType) => {
           return (