How To Integrate Model
Notice: Get API Endpoint is enabled when session's status is RUNNING
Step 1: Get the required information
We offer:
| Objects | Description |
|---|---|
| Endpoint URL | The address where your application sends requests to interact with a service. |
| Bearer token | A string that proves you have permission to access the API. |
Notice:
- Never expose your token in public code or repositories.
- Store it in environment variables or secure vaults. |
| Model | A unique identifier for a specific AI model hosted on an Interactive Sessions platform. |
| Sample code | More details, includes: - Endpoint URL
- Bearer token
- Model ID
- Messages (system, user, assistant)
- Temperature |
Step 2: Choose your intergration platform
Step 3: Send a Request to the API
Here's an example using Python:
Copyimport 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())
