Adjust prompt to be more specific

This commit is contained in:
Nicolas Mowen 2025-08-11 18:18:51 -06:00
parent 89f8bc6344
commit 6e447543a1
4 changed files with 27 additions and 26 deletions

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@ -62,31 +62,36 @@ class GenAIClient:
context_prompt = f""" context_prompt = f"""
Please analyze the image(s), which are in chronological order, strictly from the perspective of the {review_data["camera"].replace("_", " ")} security camera. Please analyze the image(s), which are in chronological order, strictly from the perspective of the {review_data["camera"].replace("_", " ")} security camera.
Your task is to provide a **neutral, factual, and objective description** of the scene, while also: Your task is to provide a clear, security-focused description of the scene that:
- Clearly stating **what is happening** based on observable actions and movements. 1. States exactly what is happening based on observable actions and movements.
- Including **reasonable, evidence-based inferences** about the likely activity or context, but only if directly supported by visible details. 2. Identifies and emphasizes behaviors that match patterns of suspicious activity.
3. Assigns a potential_threat_level based on the definitions below, applying them consistently.
Facts come first, but identifying security risks is the primary goal.
When forming your description: When forming your description:
- **Facts first**: Describe the time, physical setting, people, and objects exactly as seen. - Describe the time, physical setting, people, and objects exactly as seen. Include any observable environmental changes (e.g., lighting changes triggered by activity).
- **Then context**: Briefly note plausible purposes or activities (e.g., appears to be delivering a package if carrying a box to a door). - Time of day should **increase suspicion only when paired with unusual or security-relevant behaviors**. Do not raise the threat level for common residential activities (e.g., residents walking pets, retrieving mail) even at unusual hours, unless other suspicious indicators are present.
- Do not speculate beyond what is visible, and do not imply hostility, criminal intent, or other strong judgments unless there is unambiguous visual evidence. - Context: Note plausible purposes or activities, especially considering location zones and time of day.
- Focus on behaviors that are uncharacteristic of innocent activity: loitering without clear purpose, avoiding cameras, inspecting vehicles/doors, changing behavior when lights activate.
Your response MUST be a flat JSON object with:
- `scene` (string): A full description including setting, entities, actions, and any plausible supported inferences.
- `confidence` (float): 01 confidence in the analysis.
- `potential_threat_level` (integer): 0, 1, or 2 as defined below.
{concern_prompt}
Threat-level definitions:
- 0 Typical or expected activity for this location/time (includes residents, guests, or known animals moving normally, even at unusual hours).
- 1 Unusual or suspicious activity: At least one security-relevant behavior present (e.g., loitering, scanning surroundings, changing behavior after security light activation, inspecting vehicles/entry points), but no active threat observed.
- 2 Active or immediate threat: Breaking in, vandalism, aggression, weapon display.
Here is information already known: Here is information already known:
- Activity occurred at {review_data["timestamp"].strftime("%I:%M %p")} - Activity occurred at {review_data["timestamp"].strftime("%I:%M %p")}
- Detected objects: {review_data["objects"]} - Detected objects: {list(set(review_data["objects"]))}
- Recognized objects: {review_data["recognized_objects"]} - Recognized objects: {list(set(review_data["recognized_objects"])) or "None"}
- Zones involved: {review_data["zones"]} - Zones involved: {review_data["zones"]}
Your response **MUST** be a flat JSON object with:
- `scene` (string): A full description including setting, entities, actions, and any plausible supported inferences.
- `confidence` (float): A number 0-1 for overall confidence in the analysis.
- `potential_threat_level` (integer, optional): Include only if there is a clear, observable security concern:
- 0 = Normal activity is occurring
- 1 = Unusual but not overtly threatening
- 2 = Suspicious or potentially harmful
- 3 = Clear and immediate threat
{concern_prompt}
**IMPORTANT:** **IMPORTANT:**
- Values must be plain strings, floats, or integers no nested objects, no extra commentary. - Values must be plain strings, floats, or integers no nested objects, no extra commentary.
{language_prompt} {language_prompt}

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@ -47,8 +47,8 @@ class OllamaClient(GenAIClient):
result = self.provider.generate( result = self.provider.generate(
self.genai_config.model, self.genai_config.model,
prompt, prompt,
images=images, images=images if images else None,
options={"keep_alive": "1h"}, keep_alive="1h",
) )
return result["response"].strip() return result["response"].strip()
except (TimeoutException, ResponseError) as e: except (TimeoutException, ResponseError) as e:

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@ -85,9 +85,6 @@ export default function ReviewDetailDialog({
let concerns = ""; let concerns = "";
switch (aiAnalysis.potential_threat_level) { switch (aiAnalysis.potential_threat_level) {
case ThreatLevel.UNUSUAL:
concerns = "• Unusual Activity\n";
break;
case ThreatLevel.SUSPICIOUS: case ThreatLevel.SUSPICIOUS:
concerns = "• Suspicious Activity\n"; concerns = "• Suspicious Activity\n";
break; break;

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@ -81,7 +81,6 @@ export type ConsolidatedSegmentData = {
export type TimelineZoomDirection = "in" | "out" | null; export type TimelineZoomDirection = "in" | "out" | null;
export enum ThreatLevel { export enum ThreatLevel {
UNUSUAL = 1, SUSPICIOUS = 1,
SUSPICIOUS = 2, DANGER = 2,
DANGER = 3,
} }