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feat: Filter out temperature fluctuations with differences less than 5 degrees

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Spencer
2025-08-21 13:20:03 -05:00
parent 57d7688c3a
commit ff7bbb98d0
2 changed files with 2 additions and 2 deletions
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PROGRESS.md
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@@ -74,5 +74,5 @@
- [x] Reduce alerts to only happen between 9am and 12am.
- [x] Get hostnames of devices in Nmap scan.
- [x] Filter out RTT fluctuations below 10 seconds.
- [ ] Filter out temperature fluctuations with differences less than 5 degrees.
- [x] Filter out temperature fluctuations with differences less than 5 degrees.
- [ ] Create a list of known port numbers and their applications for the LLM to check against to see if an open port is a threat

2
monitor_agent.py
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@@ -197,7 +197,7 @@ def build_llm_prompt(data, baselines, nmap_changes, constraints, known_issues):
return f"""
**Role:** You are a dedicated and expert system administrator. Your primary role is to identify anomalies and provide concise, actionable reports.
**Instruction:** Analyze the following system and network data for any activity that appears out of place or different. Consider unusual values, errors, or unexpected patterns as anomalies. Compare the current data with the historical baseline data to identify significant deviations. Consult the known issues feed to avoid flagging resolved or expected issues. Pay special attention to the Nmap scan results for any new or unexpected open ports. Pay special attention to network RTT fluctuations, but only report them as an anomaly if the fluctuation is greater than 10 seconds.
**Instruction:** Analyze the following system and network data for any activity that appears out of place or different. Consider unusual values, errors, or unexpected patterns as anomalies. Compare the current data with the historical baseline data to identify significant deviations. Consult the known issues feed to avoid flagging resolved or expected issues. Pay special attention to the Nmap scan results for any new or unexpected open ports. Pay special attention to network RTT fluctuations, but only report them as an anomaly if the fluctuation is greater than 10 seconds. Similarly, only report temperature fluctuations if the difference is greater than 5 degrees.
**Context:**
Here is the system data in JSON format for your analysis: {json.dumps(data, indent=2)}