> For the complete documentation index, see [llms.txt](https://docs.tensorleap.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorleap.ai/user-interface/project/network/code-integration.md).

# Code Integration

The code view allows users to see the [integration script](/tensorleap-integration/writing-integration-code.md) of the code-model pair they have uploaded. That includes the code snapshot, the size of the data splits, used secret, etc.

To open the code view, go to the [Network view](/user-interface/project/network.md) and click Code on the right hand side.

To expand the code view in a way that would also allow access to the code itself, click the expand button in the top right section of the panel

<figure><img src="/files/HOohIVVCTk4hK0V50gUq" alt=""><figcaption><p>Expanding the code integration to show the code</p></figcaption></figure>

The code integration script contain several sections:

1. An in-platform [code-viewing](/user-interface/project/network/code-integration/code-viewing.md) section
2. An [asset review section](/user-interface/project/network/code-integration/asset-review.md), that can be used to examine the assets uploaded to the platform: the size of the sets in the set integration script, and the different metrics, metadata, visualizations, etc.&#x20;

### Code Integration Video Tutorial

{% embed url="<https://app.guidde.com/share/playbooks/kigQEFsd7E5zHeKGQ39xSX?mode=videoOnly&origin=k2buG3CvzZWUzfsWk7HPoOLDKpg2>" %}


---

# 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.tensorleap.ai/user-interface/project/network/code-integration.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.
