> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/advanced-basic/automation/scheduled-heartbeat.md).

# Scheduled Tasks, Heartbeats, and Run Logs

<details>

<summary>What should I do if the task ran but the channel didn’t receive a message?</summary>

First check \[Run History] to confirm whether the Agent succeeded. If the task succeeded, then check the channel’s receiving target; if the task failed, click \[View Session] to check for model, permission, workspace, and tool errors.

</details>

<figure><img src="/files/4913f5d239cd41fad83d6407973bc4e0d2849c36" alt="从触发条件到 Agent 执行、发送通知和查看运行记录的自动化流程图"><figcaption></figcaption></figure>

<figure><img src="https://raw.githubusercontent.com/SiinXu/cherry-studio-docs/2446b25878f69e98f33d50623a3c4cf5e836680a/.gitbook/assets/cherry-guide-scheduled-reuse-session.png" alt="新建定时任务时设置 Agent、执行频率和复用会话"><figcaption></figcaption></figure>


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.cherryai.com.cn/docs/en-us/advanced-basic/automation/scheduled-heartbeat.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
