# Llama Vision 3.2 Support in Workflows

<figure><img src="https://cdn.prod.website-files.com/5f6bc60e665f54db361e52a9/678a6c33cfea0646ec47b08b_678a6bcea3ea94a45bb74fc1_402619266-61f5b741-5963-422e-a449-187f0704ec71.png" alt=""><figcaption></figcaption></figure>

[Llama Vision 3.2](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/), a multimodal LLM developed by Meta AI, can now be used in Roboflow Workflows.

You can use the model to ask questions about the contents of images and retrieve a text response.

For example, you could use the block to:

1. Read the text in an image.
2. Ask questions about the text in an image.
3. Classify an image according to a specific prompt.

This response can then be returned by your Workflow, or processed further by other blocks (i.e. the Expression block).

[Try it in Workflows today.](https://app.roboflow.com/)

*Note: The Llama Vision 3.2 block is configured to use* [*OpenRouter*](https://openrouter.ai/) *for inference. You will need an OpenRouter API key to use the Llama Vision 3.2 block.*


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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://docs.roboflow.com/changelog/january-2025/llama-vision-3.2-support-in-workflows.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.