I was working with regular OpenAI through langchain and decided to move to Azure OpenAI service. However, I keep running into this error message saying the deployment name cannot be found.
Here’s my current implementation:
import { AzureChatOpenAI } from '@langchain/openai';
const chatModel = new AzureChatOpenAI({
temperature: 0.1,
azureOpenAIApiDeploymentName: 'ChatGPT4Model',
azureOpenAIApiVersion: '2023-05-15',
azureOpenAIApiInstanceName: 'https://my-resource.openai.azure.com/',
azureOpenAIApiKey: process.env.AZURE_OPENAI_KEY,
streaming: true,
verbose: false,
callbacks: [
{
handleLLMNewToken(chunk: string) {
response.write(
JSON.stringify({
messageType: 'token',
data: chunk,
}),
);
},
},
],
});
I made sure to create the deployment properly in Azure portal and I’m using the exact deployment name, not the model name. The deployment shows as active in my Azure OpenAI resource. What could be causing this deployment not found issue?
had thе same issue last week - your azureOpenAIApiInstanceName should just be the resource name, not the full URL. use ‘my-resource’ instead of https://my-resource.openai.azure.com/. also make sure your API version matches what’s in the Azure portal.
yeah, the wait times are super annoying. even when azure says ‘active’, give it another 10-15 minutes before testing. also make sure you’re hitting the right region endpoint in your resource name.
Double check your deployment’s running in the same region as your resource. I had the same deployment name error - turns out my deployment was stuck provisioning even though the portal showed it as active. Try restarting the deployment or create a new one with a different name to test. Also verify your API key has the right permissions for that specific deployment - sometimes the key works for one deployment but not another in the same resource.
This might be an instance name issue. When I switched from regular OpenAI to Azure, I found that azureOpenAIApiInstanceName only wants the resource name - not the full URL. Try ‘my-resource’ instead of the complete URL. Also check if your deployment’s actually ready. Azure might show it as active, but there’s often a delay before the API works. I’d test with a basic curl or Postman call first to see if it’s a deployment problem or something with your langchain setup.