Miscellaneous fixes (#23238)

* start audio transcription post processor when enabled on any camera

* Fetch embed key whenever an error occurs in case the llama server was restarted

* mypy

* add tooltips for colored dots in settings menu

* add ability to reorder cameras from management pane

* add ability to reorder birdseye

* add reordering save text to camera management view

* Include NPU in latency performance hint

* Implement turbo for NPU on object detection

* hide order fields

* drop auto-derived field paths from camera value when unset globally

* use correct field type for export hwaccel args

* add debug replay to detail actions menu

* clarify debug replay in docs

* guard get_current_frame_time against missing camera state

* Implement debug reply from export

* Refactor debug replay to use sources for dynamic playback

* Mypy

* fix debug export replay source timestamp handling

* skip replay cameras in stats immediately

* broadcast debug replay state over ws and buffer pre-OPEN sends

- push debug replay session state over the job_state ws topic so the status bar reacts instantly to start/stop without polling
- fix child-effect-before-parent-effect race in WsProvider that silently dropped initial snapshot requests on cold load

* fix debug replay test hang

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

frigate/detectors/detection_runners.py

@@ -282,6 +282,13 @@ class OpenVINOModelRunner(BaseModelRunner):
             EnrichmentModelTypeEnum.arcface.value,
         ]
 
+    @staticmethod
+    def is_detection_model(model_type: str) -> bool:
+        # Import here to avoid circular imports
+        from frigate.detectors.detector_config import ModelTypeEnum
+
+        return model_type in [m.value for m in ModelTypeEnum]
+
     def __init__(self, model_path: str, device: str, model_type: str, **kwargs):
         self.model_path = model_path
         self.device = device
@@ -310,9 +317,15 @@ class OpenVINOModelRunner(BaseModelRunner):
         # Apply performance optimization
         self.ov_core.set_property(device, {"PERF_COUNT": "NO"})
 
-        if device in ["GPU", "AUTO"]:
+        if device in ["GPU", "AUTO", "NPU"]:
             self.ov_core.set_property(device, {"PERFORMANCE_HINT": "LATENCY"})
 
+        if device == "NPU" and OpenVINOModelRunner.is_detection_model(model_type):
+            try:
+                self.ov_core.set_property(device, {"NPU_TURBO": "YES"})
+            except Exception as e:
+                logger.debug(f"NPU_TURBO not supported by driver: {e}")
+
         # Compile model
         self.compiled_model = self.ov_core.compile_model(
             model=model_path, device_name=device