Image generation (Azure-style deployments)

Some teams prefer the Azure OpenAI-style URL shape where the deployment name is part of the path. AlphaNeural supports that format for image generation too.

Endpoint

• POST https://proxy.alfnrl.io/openai/deployments/{deployment}/images/generations

Where:

• {deployment} is your Azure-style deployment identifier (what you would normally put in the Azure URL).

Quickstart

curl https://proxy.alfnrl.io/openai/deployments/my-image-deployment/images/generations \
  -H "Authorization: Bearer $ALPHANEURAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A product photo of a glass bottle on white background",
    "size": "1024x1024"
  }'

Behaviour notes

• You usually omit model in the JSON body because the deployment is already specified in the path, Azure-style.

• Parameters like size, quality, background, output_format behave like OpenAI’s Images API (subject to model support).

• As with OpenAI and Azure OpenAI, GPT image models return base64 and do not support response_format.

Use this route when you are migrating Azure OpenAI code or you want “deployment-first” routing. Otherwise, prefer the OpenAI-compatible endpoint for the cleanest portability