> For the complete documentation index, see [llms.txt](https://docs.zerve.ai/guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zerve.ai/guide/canvas-view/assets.md).

# Assets

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Functions &#x26; Classes</strong> </td><td>Reusable code snippets that encapsulate specific logic or operations or classes.  This promotes code modularity, readability, and reduces duplication. </td><td></td><td><a href="/pages/oFSlUHmPYkQnWT1uZ4Ol">/pages/oFSlUHmPYkQnWT1uZ4Ol</a></td></tr><tr><td><strong>Queries</strong></td><td>Predefined SQL or other data retrieval and manipulation statements used for read/write from databases/warehouses.</td><td></td><td><a href="/pages/anKSVMOoqgFDGazmhbXN">/pages/anKSVMOoqgFDGazmhbXN</a></td></tr><tr><td><strong>Constants &#x26; Secrets</strong></td><td><p>Environment variables, API keys, cloud configs can be stored and accessed from here. It prevents manual sharing of codes, accidental git commits exposing credentials etc.</p><p></p></td><td></td><td><a href="/pages/1zudYA5ONVVKgn3DsE1K">/pages/1zudYA5ONVVKgn3DsE1K</a></td></tr><tr><td><strong>Connections</strong></td><td>Connections contain database credentials with databases like Snowflake, Databricks, Postgres etc.</td><td></td><td><a href="/pages/vhxtvNSpJB6ovLUclIqV">/pages/vhxtvNSpJB6ovLUclIqV</a></td></tr></tbody></table>

##


---

# 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:

```
GET https://docs.zerve.ai/guide/canvas-view/assets.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.
