> ## Documentation Index
> Fetch the complete documentation index at: https://docs.helicone.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Predefined Request IDs

> Learn how to predefine Helicone request IDs for advanced tracking and asynchronous operations in your LLM applications.

One of the significant advantages of using UUIDs as request IDs is the ability to predetermine the request ID before the actual request is dispatched to Helicone.

This feature facilitates the tracking of request IDs without the necessity of receiving a response from Helicone.

```python theme={null}

import uuid

# Define request ID
my_helicone_request_id = str(uuid.uuid4())

# Request to LLM provider
...
    "Helicone-Request-Id": my_helicone_request_id
...

# While the above code is executing, you can perform other tasks such as providing feedback on a specific request.
import requests
url = 'https://api.helicone.ai/v1/feedback'
headers = {
    'Helicone-Auth': 'YOUR_HELICONE_AUTH_HEADER',
    'Content-Type': 'application/json'
}
data = {
    'helicone-id': my_helicone_request_id,
    'rating': True # true for positive, false for negative
}
response = requests.post(url, headers=headers, json=data)

```

This functionality is particularly beneficial when associating different requests with different [jobs](/features/jobs/quick-start) or other features within Helicone.