Local Agent Observability and Cost Analysis: How to See and Cut Your AI Coding Spend
Local agent observability and cost analysis means tracking your AI coding agent’s tokens, tool calls, and subagent spend in real time on your own machine, without sending telemetry to the cloud. It matters because a single Claude Code session can silently burn $2.47 across 142 tool calls before you ever notice, and the JSONL transcripts agents write are only usable after the budget is already gone. This guide explains how local-first observability tools reveal that spend, how project memory cuts repeated-context costs, and how to choose the right stack for your workflow. ...