# Share Your Debug Logs

Do you notice weird behavior with your agent? Do you have an interesting use case? Do you have a bug you want to report? Follow the steps below to enable your logs and upload them. You can include these logs when making an issue report or discussing an issue with us.

## Enable Debug Logs

Activity, Error, and Debug logs are located in `./logs`

To print out debug logs:

```shell
./autogpt.sh --debug     # on Linux / macOS

.\autogpt.bat --debug    # on Windows

docker compose run --rm auto-gpt --debug    # in Docker
```

## Inspect and share logs

You can inspect and share logs via [e2b](https://e2b.dev). ![E2b logs dashboard](/files/jyW68JWvCouK0CkoVCJI)

1. Go to [autogpt.e2b.dev](https://autogpt.e2b.dev) and sign in.
2. You'll see logs from other members of the AutoGPT team that you can inspect.
3. Or you upload your own logs. Click on the "Upload log folder" button and select the debug logs dir that you generated. Wait a 1-2 seconds and the page reloads.
4. You can share logs via sharing the URL in your browser. ![E2b log URL](/files/5ONxTDSVnNYUaG6ffrrX)

### Add tags to logs

You can add custom tags to logs for other members of your team. This is useful if you want to indicate that the agent is for example having issues with challenges.

E2b offers 3 types of severity:

* Success
* Warning
* Error

You can name your tag any way you want.

#### How to add a tag

1. Click on the "plus" button on the left from the logs folder name.

   ![E2b tag button](/files/7aLVh1IeiqZZ8IC1g9qX)
2. Type the name of a new tag.
3. Select the severity.

   ![E2b new tag](/files/DXeCr3tKxyuCYlBPJZVx)


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# Agent Instructions: 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:

```
GET https://agpt.co/docs/classic/help-us-improve-autogpt/share-your-logs.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.