> For the complete documentation index, see [llms.txt](https://docs.krystal.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.krystal.app/products/platform-config/automation-retry-policy.md).

# Automation Retry Policy

#### **Overview**

Automation systems on Krystal (such as Auto-Rebalance, Auto-Exit, Auto-Compound, and Auto-Harvest) include a built-in retry mechanism to improve reliability and ensure that scheduled actions are executed successfully, even under temporary network or on-chain disruptions.

#### Retry Rules

| Parameter                | Value        | Description                                                                                           |
| ------------------------ | ------------ | ----------------------------------------------------------------------------------------------------- |
| **Max Retry Attempts**   | 12           | Each automation order may be retried up to 12 times if execution fails due to transient errors.       |
| **Retry Interval**       | 5 minutes    | Between each retry, the system waits 5 minutes before re-attempting execution.                        |
| **Total Retry Duration** | \~60 minutes | In total, the system continues retrying for approximately 1 hour before the task is marked as failed. |

#### Design Rationale

This retry mechanism improves automation reliability under fluctuating network conditions while maintaining a bounded execution window.\
The 12×5-minute retry policy ensures:

* Timely completion under normal conditions
* Avoidance of indefinite looping or spam retries
* Predictable failure window (\~1 hour)

#### After Retry Window

If an automation still fails after the full retry period (\~60 minutes), it is marked as **failed**.\
To restore normal operation, users should:

* **Delete and re-create** the automation, or
* **Edit and update** the existing automation to trigger a new execution cycle.

This ensures the automation restarts with the latest market and pool data.


---

# 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.krystal.app/products/platform-config/automation-retry-policy.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.