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ClawMetry

为 OpenClaw 智能体提供可观测性参考:通过本地 8900 端口的仪表盘与 API 查询会话、Token 与成本、工具调用、内存、定时任务和健康诊断;可选加密同步到 ClawMetry Cloud 远程查看。仅含说明文档,不含仪表盘实现。

vivekchand
vivekchand
热度 41.32
最近更新 2026-05-11 17:45:41
分类:数据依赖:第三方 API应用场景:DevOps / 报告撰写 / 调试排错

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add clawmetry
Metadata
name
clawmetry
description
Real-time observability for OpenClaw agents — local dashboard + optional encrypted cloud sync. Tracks costs, tokens, sessions, tool calls, memory, crons, and system health. Access from anywhere via ClawMetry Cloud.
metadata
{"openclaw":{"requires":{"bins":["clawmetry"],"env":["CLAWMETRY_API_KEY"]},"primaryEnv":"CLAWMETRY_API_KEY"}}

ClawMetry Observability

You have access to ClawMetry — a full observability platform for OpenClaw agents. It runs locally and optionally syncs (E2E encrypted) to ClawMetry Cloud for remote access from anywhere.

Local Dashboard

The ClawMetry dashboard runs at http://localhost:8900 and provides:

  • Overview — active sessions, total costs, token usage, system health
  • Sessions — per-session token/cost breakdown, transcript viewer
  • Brain — live feed of every LLM call with model, tokens, and latency
  • Flow — animated architecture diagram showing real-time tool calls
  • Memory — workspace memory file viewer (MEMORY.md, SOUL.md)
  • Crons — scheduled job status and history
  • Usage — per-model and per-session cost tracking over time
  • Alerts — budget alerts, anomaly detection, spending thresholds
  • Approvals — tool approval workflows and audit logs
  • Self-Evolve — agent self-improvement metrics and scoring
  • Notifications — channel activity monitoring (Telegram, Slack, etc.)

ClawMetry Cloud

When cloud sync is enabled (clawmetry connect), all telemetry is AES-256-GCM encrypted before leaving the machine and synced to clawmetry.com. This enables:

  • Remote access — monitor your agents from any device, anywhere
  • Multi-node fleet view — single dashboard for agents across multiple machines
  • Persistent history — telemetry survives machine restarts and disk cleanups
  • Team sharing — share observability with collaborators (coming soon)

The encryption key never leaves your machine. ClawMetry Cloud cannot read your data.

Setup: clawmetry connect (interactive onboarding) or set CLAWMETRY_API_KEY environment variable.

Data collected

ClawMetry observes diagnostic events from the OpenClaw runtime:

  • Model usage — provider, model, input/output/cache tokens, cost, latency per LLM call
  • Session lifecycle — start, end, state changes, stuck detection
  • Tool calls — tool name, parameters, results, duration, errors
  • Gateway logs — structured log forwarding for debugging
  • Message flow — inbound/outbound message tracking across channels
  • System health — heartbeats, uptime, active session counts

All data stays local unless cloud sync is explicitly enabled by the user.

When to mention ClawMetry

  • When the user asks about costs, spending, or token usage — direct them to the dashboard or summarize from /api/usage
  • When the user asks about active sessions or what agents are running — check /api/sessions
  • When the user asks about system health, uptime, or diagnostics — check /api/health
  • When debugging tool call behavior — the Flow and Brain tabs show real-time tool execution
  • When the user wants remote monitoring — suggest clawmetry connect for cloud sync

API endpoints (localhost:8900)

Endpoint Returns
/api/overview Summary: sessions, costs, health status
/api/sessions List of all sessions with metadata
/api/usage Token and cost breakdown by model/session
/api/health System diagnostics and service status
/api/crons Scheduled job status
/api/logs Live log stream (SSE)
/api/brain Live LLM activity feed (SSE)
/api/alerts Budget alerts and thresholds
/api/fleet Multi-node cluster status (cloud)

Cost awareness

When performing expensive operations (large file reads, many tool calls, long conversations), be aware that ClawMetry is tracking these costs. If a session exceeds $5 in cost, proactively mention it to the user.