- 4 minutes to read

AI Diagnostics – Smarter Monitoring with Local AI

Experience smarter, faster, and private monitoring with Nodinite AI Diagnostics. Analyze diagnostics logs using local or cloud-based AI to unlock actionable insights, accelerate troubleshooting, and maintain full control over your data privacy.

Tip

Looking for AI-powered queries across your integration landscape? Check out the AI Assistant for natural language questions about entities, relationships, and custom metadata.

What you will learn and gain from this page:

  • ✅ Instantly analyze diagnostics logs with local or cloud AI
  • ✅ Autonomous scanning and context-aware recommendations
  • ✅ Reduce MTTR with actionable insights and root-cause suggestions
  • ✅ 100% privacy – your logs never leave your infrastructure
  • ✅ Available in all new Nodinite Monitoring Agents

Note: Performing queries against AI models may incur costs, especially with cloud providers like Azure OpenAI. Review your provider's pricing for details.

Why AI Diagnostics?

Traditional monitoring tools only show what happened. Nodinite AI Diagnostics reveals why issues occur and how to resolve them. By leveraging advanced AI models, you receive intelligent insights, root-cause suggestions, and actionable summaries in real time.

Whether you are an integration expert or new to monitoring, Nodinite AI Diagnostics transforms raw log data into clear, human-readable advice, empowering you to resolve problems quickly and prevent future incidents.

Key Benefits

  • Local-first: Works fully offline using Ollama (optional Azure/OpenAI support)
  • Context-aware analysis of log files
  • Autonomous scanning without manual intervention
  • Fast feedback on issues – detect and understand within seconds
  • Reduced MTTR (mean time to resolution) through smart recommendations
  • Private by design – no log data leaves your infrastructure

How It Works

Nodinite AI Diagnostics continuously scans diagnostics logs generated by the Monitoring Agent. When warnings or errors are detected, the log snippet is sent to your selected AI provider (local or cloud) for analysis. The AI model returns actionable insights, root-cause suggestions, and recommendations instantly and automatically.

graph LR subgraph Nodinite Monitoring Agent Logs[Diagnostics Logs] Scanner[AI Diagnostics Scanner] Scanner --> Logs end subgraph AI Provider AIModel[(AI Model e.g., gpt-4o, phi3)] end Scanner -->|Send error snippets| AIModel AIModel -->|Insightful response| Scanner

This diagram illustrates how log snippets are sent to an AI provider and returned with actionable insights, instantly and automatically.

Configuration Options

Configure the AI Diagnostics section within your Monitoring Agent to tailor log analysis to your needs. To access these settings, navigate to Remote Configuration for your agent and click on the AI Diagnostics tab.

AI Diagnostics Configuration Tab
The AI Diagnostics configuration tab in Nodinite version 7 agents—available in all new .NET 9-based agents.

The table below explains each option:

Field Example Value Description
Enable AI Diagnostics ✅ (checked) When checked, AI diagnostics will monitor log files for errors and warnings to provide intelligent analysis.
AI Provider Azure OpenAI Select your AI provider.
Endpoint URL https://loga.openai.azure.com/ Azure OpenAI: https://your-resource.openai.azure.com/ | Ollama: http://localhost:11434
Model/Deployment Name gpt-4o Azure: Deployment name (e.g., gpt-4o) | OpenAI: Model name (e.g., gpt-4o, gpt-3.5-turbo) | Ollama: Model name (e.g., phi3:mini, llama2)
Scan Interval (seconds) 200 How often to scan log files for errors and warnings (60–3600 seconds, recommended: 900).
Max Tokens 1024 Maximum number of tokens in AI response (128–4096, default: 1024).
Temperature 0.2 AI creativity level: 0.0 = focused/deterministic, 1.0 = creative/random (default: 0.2).
Read All Log Files ✅ (checked) When checked, analyzes all diagnostic log files (including rotated files). When unchecked, only analyzes the most recent log file for better performance.

Best Practices:

  • Use Ollama with models like phi3:mini or llama2 for offline environments.
  • Set Scan Interval to a reasonable value (e.g., 200-900 seconds) to balance performance and responsiveness.
  • Use a low temperature (e.g., 0.2) for focused, reliable diagnostics.
  • Enable Read All Log Files only if older log entries are relevant; disable for better performance.
  • Your logs remain 100% on-premises, ensuring compliance and privacy.

Final Thoughts

Nodinite AI Diagnostics transforms monitoring from reactive to proactive. Go beyond logging errors—understand, resolve, and prevent issues faster with actionable insights. Activate AI Diagnostics today and unlock the full value of your logs.

Need help getting started? Reach out to Support

Which Agents Support AI Diagnostics?

AI Diagnostics is being rolled out across all Nodinite Log and Monitoring Agents converted to .NET 9. The following agents currently support AI Diagnostics:

Next Step

  • Explore the Remote Configuration page for step-by-step setup and management guidance.
  • Try the AI Assistant for natural language queries across your integration landscape.