# How to Integrate Model?

{% hint style="info" %} <mark style="color:$warning;">**Note:**</mark> Get API Endpoint is enabled when session's status is **RUNNING**
{% endhint %}

<figure><img src="/files/vGT1ucGgKqLlJRa3iieX" alt=""><figcaption></figcaption></figure>

{% stepper %}
{% step %}

### Get the required information

We offer:

<table><thead><tr><th width="132.59991455078125">Objects</th><th>Description</th></tr></thead><tbody><tr><td>Endpoint URL</td><td>The address where your application sends requests to interact with a service.</td></tr><tr><td>Bearer token</td><td>A string that proves you have permission to access the API.<br><br><strong>Notice:</strong><br>- Never expose your token in public code or repositories.<br>- Store it in environment variables or secure vaults.</td></tr><tr><td>Model</td><td>A unique identifier for a specific AI model hosted on an Interactive Sessions platform.</td></tr><tr><td>Sample code</td><td>More details, includes:<br>- Endpoint URL<br>- Bearer token<br>- Model ID<br>- Messages (system, user, assistant)<br>- Temperature</td></tr></tbody></table>
{% endstep %}

{% step %}

### Choose your integration platform

{% endstep %}

{% step %}

### Send a Request to the API

Here's an example using Python:

```json
import requests
url = "https://api.gptcloud.com/aiam/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer pR2vV0zGZ0nP6tQ3gFJk9wXn0"
}
payload = {
    "model": "62d8b2e6-42f9-4c17-95f8-4ca93d74f396",
    "messages": [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ],
    "temperature": 0.7
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())
```

{% endstep %}
{% endstepper %}


---

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ai-docs.fptcloud.com/fpt-ai-studio/services/model-testing-interactive-sessions/tutorials/how-to-integrate-model.md?ask=<question>
```

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