Claude Code 可观测性和 Telemetry 设置

用例证据路径

Claude Code observability：从实施到决策

完整的 claude code observability 测量循环连接一个拥有的工作流程、一个有界事件契约、一个受控装置和一个有人可以采取行动的问题。

1
设定边界
创建 Telemetry 帐户和 API 密钥。
2
捕捉结果
Begin with agent_task_started, agent_task_completed, feature_used and document the grain of each event.
3
证明行数
在发货前查看生成的表格、图表和警报。
4
做出决定
哪些智能体编写的功能在发布后实际使用？

代理提示

将其粘贴到您的编码代理中

更换 YOUR_API_KEY 注册后，然后要求智能体运行产品流程并验证第一个事件。

代理提示

Claude Code observability 设置提示

text

Instrument this project with structured logs using /skill.md. Use this Telemetry API key: YOUR_API_KEY Anonymous keys support logging and synchronous SQL without signup. Claim the existing workspace at https://telemetry.sh/register with the same key before creating dashboards or alerts. If it is unclaimed, query the event to verify delivery and report which features need signup. Please: 1. Find the most important user-facing flows, background jobs, and AI/tooling workflows. 2. Add structured logging with snake_case table and field names. 3. Capture the key signals for each workflow, including status, latency, identifiers, and error context when relevant. 4. Run one real user-facing or operational flow through the instrumented application and verify its event appears 中 Telemetry. Do not use telemetry_quickstart for this milestone. 5. Run a read-only query over that real event, then create a high-level dashboard with charts and tables that summarize the most important signals in this project. 6. Tell me what you instrumented, which real flow you verified, which tables you created, and which dashboard views I should review first. Keep event payloads small and focused. Make dashboard labels and charts easy to scan.

为此提示创建 API 密钥，预览工作智能体事件，并在应用程序准备就绪时替换示例。

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