I need help finding the deployment ID for my Azure OpenAI setup
I’m working through a guide that uses Azure OpenAI services and I’m stuck on this part:
// CONFIGURATION FOR AZURE OPENAI API
const DEPLOYMENT_NAME = "YOUR_DEPLOYMENT_ID_HERE"; // MODEL DEPLOYMENT FOR GPT-3.5
I can’t figure out where to get this deployment ID from. Do I need to create something in Azure first? What steps do I need to follow to deploy a model?
The tutorial mentions this but I’m confused:
CHAT API REFERENCE
!!! Important: This method currently works only for non-chat scenarios.
!!! For chat applications you need to modify the message structure
!!! Check the ChatML format documentation for proper implementation
Can someone walk me through how to set up the deployment and where to find this ID?
I got confused at first mixing up deployment names with model names. When you create a deployment in Azure OpenAI, you’re making a custom instance of the base model. The deployment name is totally separate from the actual model version (like gpt-35-turbo). You can name your deployment whatever you want - “my-gpt-deployment” or “production-chat-model” - and that custom name goes in your DEPLOYMENT_NAME variable. You can also have multiple deployments of the same model with different names, which is great for testing vs production. Deployment usually takes 2-3 minutes in my experience.
Yeah, this got me too at first. Once you create the deployment in Azure portal, check two spots for the deployment name. Go to Azure OpenAI Studio (not the regular portal), pick your resource, then hit the ‘Deployments’ tab. You’ll see your deployment name listed with the model version and status. Or just stay in the regular Azure portal - find your OpenAI resource, click ‘Model deployments’ under Resource Management. Whatever name shows up there goes straight into your DEPLOYMENT_NAME variable. Just make sure it says ‘Succeeded’ before you test API calls, or you’ll get auth errors.
Had the same problem when I started with Azure OpenAI. You create the deployment ID yourself in the Azure portal - it’s not auto-generated. Go to your Azure OpenAI resource, hit “Model deployments,” then “Create new deployment.” Pick your model (GPT-3.5-turbo, GPT-4, etc.) and whatever name you enter becomes your DEPLOYMENT_NAME in the code. Use the exact name you typed during setup. The deployment has to show “Succeeded” status before you can make API calls. Takes a few minutes to finish once you create it.
quick tip - after deploying ur model, check Azure OpenAI Studio’s playground section. select your deployment from the dropdown to see the exact name u’ll need for your code. don’t forget to grab ur endpoint URL and API key from the keys section or ur requests won’t work.
Heads up - the deployment ID is case-sensitive. I wasted hours debugging API failures because I had caps in my deployment name but typed it lowercase in DEPLOYMENT_NAME. Check Azure portal for the exact spelling. Also, if you’re using chat completions, ditch the legacy completions format and switch to the newer chat format with message arrays. That warning in your tutorial is about this - older tutorials show the wrong API structure for chat.