Comment by threeducks

The Python API example looks like it has been written by an LLM. You don't need to import json, you don't need to set the content type and it is good practice to use context managers ("with" statement) to release the connection in case of exceptions. Also, you don't gain anything by commenting variables with the name of the variable.

The following sample (probably) does the same thing and is almost half as short. I have not tested it because there is no signup (EDIT: I was mistaken, there actually is a "signup" behind the login link, which is Google or GitHub login, so the naming makes sense. I confused it with a previously more prominent waitlist link.)

    import requests

    # Your Hypermode Workspace API key
    api_key = "<YOUR_HYP_WKS_KEY>"

    # Use the Hypermode Model Router API endpoint
    url = f"https://models.hypermode.host/v1/chat/completions"

    headers = {"Authorization": f"Bearer {api_key}"}

    payload = {
        "model": "meta-llama/llama-4-scout-17b-16e-instruct",
        "messages": [
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "What is Dgraph?"},
        ],
        "max_tokens": 150,
        "temperature": 0.7,
    }

    # Make the API request
    with requests.post(url, headers=headers, json=payload) as response:
        response.raise_for_status()
        print(response.json()["choices"][0]["message"]["content"])