agent-cost-dashboard
Skill0 starsChanged 3 months agoMITView on GitHub
Agent 成本仪表盘：会话日志拆解、token花费、工作步骤一览.
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Agent 成本仪表盘
概述
agentacct (534⭐ Python MIT, 2026-07-24) 的核心理念：
"See what your coding agents actually did — and what it cost — on a dashboard that never leaves your machine."
本地优先，读已有日志，拆解工作步骤，展示 token、时间、文件变更、工具使用。
设计原则
- 本地优先 — 数据不出机器
- 零侵入 — 读已有日志，不改 Agent 核心
- 可操作 — 不光看数据，还能基于数据做决策
命令接口
hermes cost --recent 5 # 最近会话摘要
hermes cost --today # 今天花了多少
hermes cost --session <id> --detail # 具体会话步骤拆解输出格式
📊 会话摘要 (2026-07-30 14:23)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
任务: 搜索火项目并归纳
耗时: 18分32秒
Token: 输入 24,321 | 输出 8,742 | 总计 33,063
花费: $1.32 (deepseek-v4-pro)
工具调用: 23次 (18成功, 2失败, 3限速)
工作步骤:
1. [4.2min] HN 头条扫描 → 15个AI相关项目
2. [3.1min] GitHub 15维度搜索 → 23个新仓库
3. [2.8min] 项目 README 深读 → 6个核心项目
4. [6.9min] 分析归纳 → 知识库+技能更新
文件变更:
✏️ knowledge-base/技术/2026-07-30-火项目与未来趋势全景.md
✏️ skills/.../references/2026-07-30-scan.md
✏️ skills/.../SKILL.md核心指标
| 指标 | 含义 | 警戒线 |
| token/任务 | 单任务平均 token | > 50k 需审查 |
| 工具成功率 | 不报错的调用比例 | < 90% 需排查 |
| 重试率 | 连续失败比例 | > 20% 需优化 |
| 文件变更数 | 每次任务改几个文件 | > 10 需审查 |
与现有技能的关系
| 现有技能 | agent-cost-dashboard 补充 |
| token-cost-tracker | 加工作步骤拆解和可视化 |
| agent-observability | 加成本维度的可观测 |
| model-tier-routing | 成本数据驱动模型分层 |
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