Cost Allocation Tagger Agent

What Cost Allocation Tagger Agent does

A cost allocation tagger agent is an AI agent specialized in cost allocation tagger. It does not answer from memory alone. It inspect pipeline logs and cluster state before recommending changes, stores observations, verifies completeness, and delivers devops change plan with explicit gaps when tools fail.

The agent receives a cost allocation tagger task, plans tool calls (ci-cd, kubernetes, terraform, monitoring), executes inspect pipeline logs and cluster state before recommending changes, keeps working notes, verifies the draft, and publishes devops change plan. If cluster api returned forbidden for the deployment namespace, it verify rbac and retry with read-only diagnostics. This page simulates that observable loop — not private chain-of-thought.

Workflow

Each step maps to a node in the lab above. Scroll up to play and watch the packets travel.

1. 01

   Input

   Receive task

   Accept the cost allocation tagger request and output constraints.

   Data preview

   In

   Run cost allocation tagger for Q3: produce devops change plan with audit trail.

   Out

   Normalized objective: produce devops change plan.

2. 02

   Plan

   Plan the run

   Choose tool order for Inspect pipeline logs and cluster state before recommending changes.