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cost-conversation

Review AI agent spending by conversation, with each session’s start time, message count, main model, and total cost. Use the results to identify expensive sessions and understand typical costs before planning longer work.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Per-conversation cost view — list every session in cost-tracking with started-at, message count, top model, and total cost

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适用场景

  • Review spending across completed conversations
  • Identify conversations with high costs
  • Estimate typical costs before a long session
  • Review conversation costs by project

包含的文件(1)

  • SKILL.md1.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Cost per Conversation

cost-report and cost-optimize aggregate by agent and model. This skill aggregates by conversation (session) — a different lens that surfaces which conversations cost the most. Useful for retrospectives ("which sessions ran long on Opus?") and for evaluating whether a given project's session pattern is sustainable.

When to use

  • After multiple sessions, to see total spend per conversation.
  • Before scoping a long session, to understand typical cost-per-conversation.
  • For per-project rollups via CONV_NAMESPACE=cost-tracking-<project>.

Steps

  1. Run the script from anywhere:

    node plugins/ruflo-cost-tracker/scripts/conversation.mjs
    

    Optional env:

    • CONV_FORMAT=json — emit JSON instead of markdown
    • CONV_LIMIT=20 — show only the most recent N conversations
    • CONV_NAMESPACE=cost-tracking — override target namespace
  2. Inspect the markdown table — total cost across all conversations, per-tier rollup, then a per-session table (started-at, sessionId prefix, message count, top model, cost).

Cross-references

  • cost-track — the producer that populates cost-tracking:session-*
  • cost-report — same data, per-agent / per-model lens
  • cost-trend — drift across bench runs (different axis: corpus runs vs conversations)
  • cost-budget-check — sums across conversations to evaluate the budget threshold

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