Refactor Review GenAI Prompt (#22353)

* Improve title to better capture activity

* Improve efficiency of prompt

* Use json format for llama.cpp

* Cleanup prompt

* Add output format for other LLMs

frigate/data_processing/post/types.py

@@ -4,20 +4,24 @@ from pydantic import BaseModel, ConfigDict, Field
 class ReviewMetadata(BaseModel):
     model_config = ConfigDict(extra="ignore", protected_namespaces=())
 
-    title: str = Field(description="A concise title for the activity.")
+    title: str = Field(
+        description="A short title characterizing what took place and where, under 10 words."
+    )
     scene: str = Field(
-        description="A comprehensive description of the setting and entities, including relevant context and plausible inferences if supported by visual evidence."
+        description="A chronological narrative of what happens from start to finish."
     )
     shortSummary: str = Field(
-        description="A brief 2-sentence summary of the scene, suitable for notifications. Should capture the key activity and context without full detail."
+        description="A brief 2-sentence summary of the scene, suitable for notifications."
     )
     confidence: float = Field(
-        description="A float between 0 and 1 representing your overall confidence in this analysis."
+        ge=0.0,
+        le=1.0,
+        description="Confidence in the analysis, from 0 to 1.",
     )
     potential_threat_level: int = Field(
         ge=0,
-        le=3,
-        description="An integer representing the potential threat level (1-3). 1: Minor anomaly. 2: Moderate concern. 3: High threat. Only include this field if a clear security concern is observable; otherwise, omit it.",
+        le=2,
+        description="Threat level: 0 = normal, 1 = suspicious, 2 = critical threat.",
     )
     other_concerns: list[str] | None = Field(
         default=None,