FAQ

API errors

The AI Model Hub is designed primarily as an API-first solution. While this approach enables seamless integration into existing codebases, it also presents a challenge: errors and problems that occur may not always be immediately visible or easy to diagnose. This FAQ addresses the most common problems and guides on their resolution:

How do I fix an unauthorized, incorrect, or no API key error?

Our How-Tos documentation assume you have an environment variable called IONOS_API_TOKEN. The value of this environment variable needs to be a valid Authentication Token. If you get the described error, two reasons are possible:

• IONOS_API_TOKEN is not set: Check whether your system's environment variable is set. The simplest way to do this is by adding the line

  import os
  print(os.environ.get("IONOS_API_TOKEN"))

  to your code. If nothing is shown, the environment variable is not set. Please set it.

• Your Authentication Token is not valid: If the IONOS_API_TOKEN environment variable is set, but you still see this error, your authentication token might not be valid. Create a new Authentication Token as described in Access Management.

How do I fix a 404 Not Found error?

Communication with the AI Model Hub is by API endpoints. These endpoints often contain IDs, like the Collection ID, a Model ID or some similar ID. One typical example of such an API endpoint is the endpoint to see all uploaded documents in a specific document collection:

f"https://inference.de-txl.ionos.com/collections/{COLLECTION_ID}/documents"

Notice that the variable COLLECTION_ID is part of the API endpoint URL. If you, for example, have previously deleted this endpoint, a request to it will return a '404 Not Found' error.

To ensure the ID exists, invoke the higher-level endpoint with a get request. This will return a list of all entries, and you can choose one of the existing IDs. In the above example, the Python command could be:

import requests
HEADERS = {
    'Accept': 'application/json',
    'Content-Type': 'application/json',
    'Authorization': f'Bearer {IONOS_API_TOKEN}',
}
print(requests.get(f"https://inference.de-txl.ionos.com/collections", headers=HEADERS).json())

An entry item exists in the resulting JSON document, which gathers all available document collections.

How do I fix a 500 Internal Server error?

We do our best to ensure our service is operational 24 hours, 7 days a week. If 500 Internal Server errors occur, it may be due to too much traffic on the AI Model Hub or an urgent infrastructure fix. Please retry your request. If the problem persists, contact IONOS Cloud Support.

Cost & Usage

How can I monitor the costs incurred through usage of the AI Model Hub?

You can monitor your AI Model Hub costs and usage for your contract in the Costs & Usage section of the DCD. Usage data is broken down by model and token type, whether input or output tokens, to give you detailed insight into your consumption. It is displayed in blocks of one million tokens for embedding and large language models, and by image count for image-based models.

Prerequisites: You must be one of the following to access the Cost & Usage view:

Contract Type	Contract Users	Accessible?
Regular contracts	Contract administrators Contract owners	✅ ✅
Reseller contracts	Contract owners	✅