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Reviewing network config changes with Iris drift narration

Use Iris drift narration to review a config change in rConfig: what it reads, how to read its impact and risk sections, and where it fits in change review.

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Reviewing network config changes with Iris drift narration

A diff tells you which lines changed. It doesn’t tell you what the change means, which is what a reviewer needs. Iris’s drift narration turns a config change in rConfig into a structured explanation: what changed, what it affects, and how risky it looks. It’s the fastest way to triage a change you didn’t expect.


What it reads

Input Limit
Device name, what triggered the change, its severity
The diff, secrets obfuscated Up to 8,000 characters
The start of the current config, for context The first 40 lines
The full previous and current configs Only when no diff is stored

The model is told this is a read-only analysis and not to suggest pushing changes.


How to read the output

Every narration has the same five sections, so reviewers learn where to look:

Section Read it for Watch for
Summary The gist in two sentences A summary that doesn’t match the diff size: a one-line summary of a 300-line diff means detail was lost
Changes Detected Each change grouped and explained Changes to security-relevant lines (ACLs, AAA, SNMP, management access)
Operational Impact What traffic, services or users are affected Impact claims about things outside the device; the model can’t see neighbours
Risk Assessment Triage priority Treat it as a signal, not a verdict
Recommendations What to verify next Checks you can run now: interface state, routing table, a ping

Where it fits in change review

  • Unexpected change overnight: open the change in rConfig, click Analyze with AI, and decide in a minute whether it needs a call.
  • Post-change review: narrate each device’s change and paste the narration into the change ticket as a plain-English record.
  • Incident timeline: copy narrations for changes near the incident start into the timeline.

For changes you want explained automatically, without anyone opening rConfig, use event-driven narration. To check a change against its approved plan, use change window verification.


Limits to know

  • Long diffs are cut at 8,000 characters. For a large change, the narration covers the first part. Review the rest in the diff view, or narrate a smaller change set.
  • Context is the start of the config. The model sees the first 40 lines, not the whole file, so it may not know how a changed ACL is used elsewhere. Use config analysis on the current config for that.
  • Not stored. Copy anything you want to keep.

Frequently asked questions

What does Iris drift narration tell me about a change?

A summary, each change explained, the operational impact, a risk assessment and recommended checks, always in that order. It's generated from the diff and the start of the current config.

Can I trust the risk rating?

As a triage signal, yes; as a decision, no. The model sees the diff and some context, not your topology or business calendar. Use it to decide what to look at first.

Is the narration saved?

No. Narrations aren't stored. Use the copy button to paste one into a ticket or incident timeline.

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