The KNX AI sidebar tab provides a live view of your KNX AI nodes: summary, anomalies, and a chat to ask questions about KNX traffic.

KNX AI sidebar

What it is for

  • Quickly browse the summary produced by a selected knxUltimateAI node.
  • Inspect detected anomalies and spot suspicious behaviour (spam, flapping, bursts).
  • Ask questions in the chat (answers are rendered in Markdown) to speed up troubleshooting.

How to use it

  1. Select the knxUltimateAI node from the dropdown.
  2. Click Refresh Summary (or enable Auto) to update the snapshot.
  3. Use the chat to ask “why” and “what to check next”.

Make the AI smarter (extra context)

In the selected knxUltimateAI node you can include additional context in the LLM prompt:

  • Flow inventory: lets the AI “see” which KNX Ultimate nodes (and gateways) are present in your flows, so it can relate telegrams to your logic.
  • Documentation snippets: adds relevant excerpts from built-in help/README/examples (and docs/wiki when available) so the AI can explain node behaviour and suggest the right configuration.

Example usage (human scenarios)

  • Loop / duplicated telegrams: ask what could generate repeated writes on the same GA and how to isolate the source.
  • Noisy GA: ask why a GA is the top talker and which devices/nodes are involved.
  • Unexpected behaviour after deploy: ask what changed in the last minutes and which patterns appeared.
  • Routing bridge issues: ask how to filter/rewrite routed telegrams to avoid storms or feedback loops.

Example questions to paste in chat

  • “Why is 2/4/2 so active? What are the most likely causes?”
  • “Do you see any loop pattern between two group addresses?”
  • “Which physical sources are writing to x/y/z and how often?”
  • “What should I filter in Router Filter to stop the spam but keep normal traffic?”

Requirements

  • At least one knxUltimateAI node in your flows.
  • The selected knxUltimateAI node must be connected to a knxUltimate-config gateway.
  • To use chat LLM answers: enable LLM in the knxUltimateAI node and configure its credentials (API key) there.