T-ISP-007 · AS-Path Prepend Optimizer

Compute the minimal AS-path prepend count needed to shift inbound traffic away from an over-utilized transit by sampling looking-glass visibility, then render the route-policy change.

Cisco IOS-XR

Juniper Junos

Arista EOS

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Capabilities

Looking-glass visibility sampling
Minimal prepend search
Per-transit balance targets
Over-prepend guardrails
Route-policy rendering
Before/after estimate

Required inputs

Parameters the script accepts. Defaults shown; some are vendor- or context-gated.

Parameter	Type	Default	Notes
Target inbound share % target_pct	number	40	—
Max prepend count max_prepend	number	4	—

Hint 1 — Name your vendors and OS versions

Mention the exact platforms you run (Cisco IOS-XR, Juniper Junos, Arista EOS) so the generated isp & peering logic uses the right CLI/NETCONF syntax.

Hint 2 — State your real thresholds

Provide concrete values for Target inbound share %, Max prepend count instead of the defaults — they shape what counts as a fault.

Hint 3 — Prioritize the checks you need

This tool can looking-glass visibility sampling and minimal prepend search. Ask for the subset relevant to your incident to keep output focused.

Hint 4 — Describe your inventory format

Tell the assistant whether your device list is CSV, YAML, or JSON and which columns it has, so parsing matches your data.

Sample inventory schema

Authoritative shape of the device/policy data this script consumes.

No bundled inventory sample. The script accepts standard device lists (CSV/YAML) with hostname, mgmt IP, vendor, and credentials.

Expected output

Reference terminal output the script should produce — used as a stylistic and structural target.

terminal

2026-06-15 15:30:02 INFO  Current share via TRANSIT-A: 68%
2026-06-15 15:30:03 INFO  Prepend 2x → estimated share 39% (target 40%)
2026-06-15 15:30:03 INFO  Rendered route-policy PREPEND-A (prepend 65010 65010)