How do I resolve error DeploymentNotFound for Azure OpenAI Python API call?

Amin, Ishmael 10

I'm gettin the following error message when calling the Azure OpenAI API using Python json.  
#<Response [404]>
#{
#    "error": {
#        "code": "DeploymentNotFound",
#        "message": "The API deployment for this resource does not exist. If you #created the deployment within the last 5 minutes, please wait a moment and try #again."
#    }
#}

Amin, Ishmael 10 Reputation points

2023-03-14T14:25:21.46+00:00

The resource does exist, by the way.

Amin, Ishmael 10

Variable values have been populated. I believe that the error occurs during the request.

url = base_url + "//openai//deployments//" + deployment_name + "//completions?api-version=2022-12-01"
prompt = "Once upon a time"
payload = {        
    "prompt":prompt
    }
print(f"url: {url}")

r = requests.post(url, 
      headers={
        "api-key": api_key,
        "Content-Type": "application/json"
      },
      json = payload
    )
print(r)
response = json.loads(r.text)
formatted_response = json.dumps(response, indent=4)

print(formatted_response)

Hanna Moazam 1 Reputation point Microsoft Employee

2023-05-02T07:51:13.59+00:00

I got the same issue, and tried creating a new deployment without hyphens, which still didn't work. Using the same name for the deployment as the model itself (specifically, gpt-35-turbo) did work.

What's even stranger is that deployments for the same Azure Open AI resource, deployments of other models (davinci, ada) where the deployment name didn't match, did not cause any problems.

3 answers

Amin, Ishmael 10 Reputation points

2023-03-14T15:39:50.4666667+00:00

I resolved the issue by removing hyphens from the deployment name. The problem is that the model deployment name create prompt in Azure OpenAI, Model Deployments states that '-', '', and '.' are allowed. However, when you create the deployment name in the OpenAI Studio, the create prompt does not allow '-', '', and '.' . This is inconsistent between the two different methods to create a deployment name.
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1 person found this answer helpful.
Amin, Ishmael 10 Reputation points

2023-03-14T15:53:57.6633333+00:00

One more comment: I had to create the deployment name in Azure OpenAI Studio instead of within Azure Resource Manager.

Enrique Maffezzini 0 Reputation points

2023-06-02T23:06:06.7066667+00:00

I am still having the same problem with text models (ada and davinci). Naming the deployment the same as the model or without '-' doesn't solve the problem either way.

Curiously enough, it works either way for gpt-35-turbo, just the opposite way to what @Hanna Moazam described.

I have been testing which ones work through the Azure Completion Playground. the error is:

Completions call failed:DeploymentNotFound

The API deployment for this resource does not exist. If you created the deployment within the last 5 minutes, please wait a moment and try again. | Apim-request-id: ########-####-####-####-############

Has anyone found anything else about this issue?

Bharose, Prabodh 0 Reputation points

2023-06-06T13:49:52.5233333+00:00

I've got the same issue for the JS code snippet as well.

const { OpenAIClient, AzureKeyCredential } = require("@azure/openai"); require("dotenv").config(); const endpoint = process.env["AZURE_OPENAI_ENDPOINT"] ; const azureApiKey = process.env["AZURE_OPENAI_KEY"] ; const messages = [ { role: "system", content: "You are a helpful assistant." }, { role: "user", content: "Does Azure OpenAI support customer managed keys?" }, { role: "assistant", content: "Yes, customer managed keys are supported by Azure OpenAI" }, { role: "user", content: "Do other Azure Cognitive Services support this too" }, ]; async function main() { console.log("== Chat Completions Sample =="); const client = new OpenAIClient(endpoint, new AzureKeyCredential(azureApiKey)); const deploymentId = "gpt-35-turbo"; const result = await client.getChatCompletions(deploymentId, messages); for (const choice of result.choices) { console.log(choice.message); } } main().catch((err) => { console.error("The sample encountered an error:", err); }); module.exports = { main };
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MingGuang Tao~SX (sxtaomg)[陶明广] 5

String azureOpenaiKey = System.getenv("AZURE_OPENAI_KEY");;
String endpoint = System.getenv("AZURE_OPENAI_ENDPOINT");;
String deploymentOrModelId = "gpt-35-turbo";
把上面这个deploymentOrModelId 修改成自己的就不会有问题了，官方并没有提示要改，但其实要改

Audio 0 Reputation points

2023-06-08T08:19:49.79+00:00

The build name must as same as model name, it work for me.
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