Aviz Networks details Network Copilot agent workflow for datacenter triage

Aviz Networks’ Network Copilot Troubleshooting Agent automates datacenter network triage by running diagnostic commands, collecting evidence, and classifying failures with confidence scores, reducing manual sessions from 15–20 minutes to about 2 minutes. For enterprise IT and security teams, it targets consistent, structured troubleshooting across network operators.

Research Overview

The post describes a repeatable troubleshooting workflow for incidents reported as connectivity failures between a source device and a destination IP. It frames the goal as replacing manual SSH-based collection, CLI parsing, and correlation with automated command execution, evidence aggregation, and scoring.

The agent is presented as a datacenter-focused triage tool that takes a device name and destination IP (or uses other query modes) to produce a structured diagnosis report. The output includes a failure domain classification and a confidence score tied to the collected evidence.

Key Findings

The author states that manual troubleshooting typically takes 15–20 minutes per incident and that the agent brings it to roughly 2 minutes. The post attributes this time reduction to automating SSH, command chaining, output correlation, and failure-domain decisioning.

It also describes confidence scoring behavior when checks fail or when data is missing due to timeouts. The post states the classifier distinguishes between “ARP timed out” and “ARP is genuinely missing,” and it returns UNKNOWN with low confidence if three or more commands fail.

Technical Breakdown

The architecture is split into layers so the AI layer does not perform SSH and the SSH layer does not perform diagnosis. The workflow runs checks in sequence, collects results into an evidence object, then classifies the failure domain after the full set of checks completes.

Tools return a consistent schema containing success status, device, command, parsed fields, and raw output. The parser converts raw CLI output into JSON, handling formatting differences across NX-OS, Catalyst, Arista, and SONiC, while the transport layer uses Paramiko with connection pooling and a central command library mapped per OS.

Operational Impact

The post presents a nine-step automated workflow that starts with reachability testing using ping and then checks interface health, Layer 2 forwarding conditions, SVI or gateway state, ARP, routing, BGP, syslog events, and ACL deny hits. It states step ordering is used to avoid deeper checks when earlier reachability shows the problem is not at the network layer.

For multi-tenant datacenter use, the post says certain checks accept an optional vrf= parameter because querying the global table may return no results. It also states the agent reports only what it confirms, such as not inferring VLAN presence from an IP address when the VLAN is not observed in show vlan brief.

Conclusion

The post’s core point is that Network Copilot automates repeated datacenter triage steps—evidence collection, failure-domain classification, and confidence scoring—while producing structured reports and next actions for troubleshooters. This “Blog Signals brief” is a fact-based summary of the vendor blog.