> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/fpt-ai-inference/fpt-ai-inference/tutorials/product-information.md).

# Product information

### 1. How to use an AI model and API Integration? <a href="#contentify_0" id="contentify_0"></a>

On this tab, you can view input parameters, and sample input /output for each AI model and API Integration documentation.

<figure><img src="/files/LTTfKLQwsFWEieN0z7b9" alt=""><figcaption></figcaption></figure>

### 2. How to see detailed information of a model? <a href="#contentify_1" id="contentify_1"></a>

Visit the product detail screen from Home page or via Product URL. On this page, you can find detailed information about the AI model, try the model and sample code for inference API.

<figure><img src="/files/72qb9qEMrDQOGDKxHaV1" alt=""><figcaption></figcaption></figure>

### 3. How to know the model's benchmarks? <a href="#contentify_2" id="contentify_2"></a>

On this tab, you can view the model's benchmark results for comparison with other models.

<figure><img src="/files/CjmZPjkGmGdhb1DqDpib" alt=""><figcaption></figcaption></figure>

### 4. How to understand and check Rate Limits? <a href="#contentify_3" id="contentify_3"></a>

This page explains the API rate limits, detailing the maximum allowed tokens and requests per minute for each model size to ensure fair and stable system performance.

<figure><img src="/files/TW6mGL6HBQmjoUTthe8A" alt=""><figcaption></figcaption></figure>


---

# 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://ai-docs.fptcloud.com/fpt-ai-inference/fpt-ai-inference/tutorials/product-information.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
