resource not found with Azure OpenAI service

题意：使用 Azure OpenAI 服务时，系统未能找到所请求的资源

问题背景：

when I am using this demo code to use the Azure OpenAI service in Java 11:

当我在Java 11环境中使用这段示例代码来调用Azure OpenAI服务时：

package com.dolphin.soa.post.config.ai.azure;

import com.azure.ai.openai.OpenAIClient;
import com.azure.ai.openai.OpenAIClientBuilder;
import com.azure.ai.openai.models.*;
import com.azure.core.credential.AzureKeyCredential;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;

import java.util.ArrayList;
import java.util.List;

@Slf4j
public class AzureOpenAIClient {

    public static void getChatCompletion(){
        String azureOpenaiKey = "the-key";
        String endpoint = "https://reddwarfcv.openai.azure.com/";
        String deploymentOrModelId = "gpt-35-turbo";

        OpenAIClient client = new OpenAIClientBuilder()
                .endpoint(endpoint)
                .credential(new AzureKeyCredential(azureOpenaiKey))
                .buildClient();

        List<ChatMessage> chatMessages = new ArrayList<>();
        chatMessages.add(new ChatMessage(ChatRole.SYSTEM).setContent("You are a helpful assistant."));
        chatMessages.add(new ChatMessage(ChatRole.USER).setContent("Does Azure OpenAI support customer managed keys?"));
        chatMessages.add(new ChatMessage(ChatRole.ASSISTANT).setContent("Yes, customer managed keys are supported by Azure OpenAI?"));
        chatMessages.add(new ChatMessage(ChatRole.USER).setContent("Do other Azure Cognitive Services support this too?"));

        ChatCompletions chatCompletions = client.getChatCompletions(deploymentOrModelId, new ChatCompletionsOptions(chatMessages));

        System.out.printf("Model ID=%s is created at %d.%n", chatCompletions.getId(), chatCompletions.getCreated());
        for (ChatChoice choice : chatCompletions.getChoices()) {
            ChatMessage message = choice.getMessage();
            System.out.printf("Index: %d, Chat Role: %s.%n", choice.getIndex(), message.getRole());
            System.out.println("Message:");
            System.out.println(message.getContent());
        }

        System.out.println();
        CompletionsUsage usage = chatCompletions.getUsage();
        System.out.printf("Usage: number of prompt token is %d, "
                        + "number of completion token is %d, and number of total tokens in request and response is %d.%n",
                usage.getPromptTokens(), usage.getCompletionTokens(), usage.getTotalTokens());
    }

    public static void main(String[] args) {
        getChatCompletion();
    }

}

show error: 显示错误：

com.azure.core.exception.ResourceNotFoundException: Status code 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."}}"
Exception in thread "main"  at com.azure.core.implementation.http.rest.RestProxyBase.instantiateUnexpectedException(RestProxyBase.java:347)
    at com.azure.core.implementation.http.rest.SyncRestProxy.ensureExpectedStatus(SyncRestProxy.java:130)
    at com.azure.core.implementation.http.rest.SyncRestProxy.handleRestReturnType(SyncRestProxy.java:213)
com.azure.core.exception.ResourceNotFoundException: Status code 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."}}"
    at com.azure.core.implementation.http.rest.RestProxyBase.instantiateUnexpectedException(RestProxyBase.java:347)
    at com.azure.core.implementation.http.rest.SyncRestProxy.ensureExpectedStatus(SyncRestProxy.java:130)
    at com.azure.core.implementation.http.rest.SyncRestProxy.handleRestReturnType(SyncRestProxy.java:213)
    at com.azure.core.implementation.http.rest.SyncRestProxy.invoke(SyncRestProxy.java:81)
    at com.azure.core.implementation.http.rest.SyncRestProxy.invoke(SyncRestProxy.java:81)
    at com.azure.core.implementation.http.rest.RestProxyBase.invoke(RestProxyBase.java:109)
    at com.azure.core.http.rest.RestProxy.invoke(RestProxy.java:91)
    at jdk.proxy2/jdk.proxy2.$Proxy3.getChatCompletionsSync(Unknown Source)
    at com.azure.core.implementation.http.rest.RestProxyBase.invoke(RestProxyBase.java:109)
    at com.azure.ai.openai.implementation.OpenAIClientImpl.getChatCompletionsWithResponse(OpenAIClientImpl.java:757)
    at com.azure.core.http.rest.RestProxy.invoke(RestProxy.java:91)
    at jdk.proxy2/jdk.proxy2.$Proxy3.getChatCompletionsSync(Unknown Source)
    at com.azure.ai.openai.implementation.OpenAIClientImpl.getChatCompletionsWithResponse(OpenAIClientImpl.java:757)
    at com.azure.ai.openai.OpenAIClient.getChatCompletionsWithResponse(OpenAIClient.java:255)
    at com.azure.ai.openai.OpenAIClient.getChatCompletionsWithResponse(OpenAIClient.java:255)
    at com.azure.ai.openai.OpenAIClient.getChatCompletions(OpenAIClient.java:381)
    at com.dolphin.soa.post.config.ai.azure.AzureOpenAIClient.getChatCompletion(AzureOpenAIClient.java:37)
    at com.azure.ai.openai.OpenAIClient.getChatCompletions(OpenAIClient.java:381)
    at com.dolphin.soa.post.config.ai.azure.AzureOpenAIClient.main(AzureOpenAIClient.java:55)
    at com.dolphin.soa.post.config.ai.azure.AzureOpenAIClient.getChatCompletion(AzureOpenAIClient.java:37)
    at com.dolphin.soa.post.config.ai.azure.AzureOpenAIClient.main(AzureOpenAIClient.java:55)
13:35:44.075 [main] ERROR com.azure.core.implementation.http.rest.RestProxyBase - Status code 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."}}"
com.azure.core.exception.ResourceNotFoundException: Status code 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."}}"
    at com.azure.core.implementation.http.rest.RestProxyBase.instantiateUnexpectedException(RestProxyBase.java:347)
    at com.azure.core.implementation.http.rest.SyncRestProxy.ensureExpectedStatus(SyncRestProxy.java:130)
    at com.azure.core.implementation.http.rest.SyncRestProxy.handleRestReturnType(SyncRestProxy.java:213)
    at com.azure.core.implementation.http.rest.SyncRestProxy.invoke(SyncRestProxy.java:81)
    at com.azure.core.implementation.http.rest.RestProxyBase.invoke(RestProxyBase.java:109)
    at com.azure.core.http.rest.RestProxy.invoke(RestProxy.java:91)
    at jdk.proxy2/jdk.proxy2.$Proxy3.getChatCompletionsSync(Unknown Source)
    at com.azure.ai.openai.implementation.OpenAIClientImpl.getChatCompletionsWithResponse(OpenAIClientImpl.java:757)
    at com.azure.ai.openai.OpenAIClient.getChatCompletionsWithResponse(OpenAIClient.java:255)
    at com.azure.ai.openai.OpenAIClient.getChatCompletions(OpenAIClient.java:381)
    at com.dolphin.soa.post.config.ai.azure.AzureOpenAIClient.getChatCompletion(AzureOpenAIClient.java:37)
    at com.dolphin.soa.post.config.ai.azure.AzureOpenAIClient.main(AzureOpenAIClient.java:55)

I have checked all the configuration and make sure the endpoint was correct, the deployment was created more than 10 hours. Am I missing something? This is the dependencies:

我已经检查了所有配置，并确保端点地址是正确的，部署已经超过10个小时了。我是不是遗漏了什么？这是依赖项："

implementation'com.azure:azure-ai-openai:1.0.0-beta.1'

I have already tried to upgrade the azure openai dependencies version to 1.0.0-beta.2 but still could not fixed this issue.

我已经尝试将Azure OpenAI的依赖项版本升级到1.0.0-beta.2，但仍然无法解决这个问题。

问题解决：

I tried in my environment and got the below results:

"我在我的环境中尝试了，并得到了以下结果："

Initially, I got the same error in my environment.

"最初，我在我的环境中遇到了同样的错误。"

main\] ERROR com.azure.core.implementation.http.rest.RestProxyBase Status code 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."}}"

In your code, at deploymentOrModelId , you have given gpt-35-turbo but you need to mention your deployment name. You can get the deployment name using the portal below.

在你的代码中，deploymentOrModelId 这个位置你填写了 gpt-35-turbo，但你需要提供你的部署名称。你可以使用下面的门户来获取你的部署名称。

Portal:

I tried with the same code change deployment id into deployment1 it executed successfully.

我尝试用相同的代码将部署ID更改为deployment1，它成功执行了。

Code:

import com.azure.ai.openai.OpenAIClient;
import com.azure.ai.openai.OpenAIClientBuilder;
import com.azure.ai.openai.models.*;
import com.azure.core.credential.AzureKeyCredential;


import java.util.ArrayList;
import java.util.List;

public class App {

    public static void getChatCompletion(){
        String azureOpenaiKey = "";
        String endpoint = "https://xxxxx.openai.azure.com/";
        String deploymentOrModelId = "deployment1";

        OpenAIClient client = new OpenAIClientBuilder()
                .endpoint(endpoint)
                .credential(new AzureKeyCredential(azureOpenaiKey))
                .buildClient();

        List<ChatMessage> chatMessages = new ArrayList<>();
        chatMessages.add(new ChatMessage(ChatRole.SYSTEM).setContent("You are a helpful assistant."));
        chatMessages.add(new ChatMessage(ChatRole.USER).setContent("Does Azure OpenAI support customer managed keys?"));
        chatMessages.add(new ChatMessage(ChatRole.ASSISTANT).setContent("Yes, customer managed keys are supported by Azure OpenAI?"));
        chatMessages.add(new ChatMessage(ChatRole.USER).setContent("Do other Azure Cognitive Services support this too?"));

        ChatCompletions chatCompletions = client.getChatCompletions(deploymentOrModelId, new ChatCompletionsOptions(chatMessages));

        System.out.printf("Model ID=%s is created at %d.%n", chatCompletions.getId(), chatCompletions.getCreated());
        for (ChatChoice choice : chatCompletions.getChoices()) {
            ChatMessage message = choice.getMessage();
            System.out.printf("Index: %d, Chat Role: %s.%n", choice.getIndex(), message.getRole());
            System.out.println("Message:");
            System.out.println(message.getContent());
        }

        System.out.println();
        CompletionsUsage usage = chatCompletions.getUsage();
        System.out.printf("Usage: number of prompt token is %d, "
                        + "number of completion token is %d, and number of total tokens in request and response is %d.%n",
                usage.getPromptTokens(), usage.getCompletionTokens(), usage.getTotalTokens());
    }

    public static void main(String[] args) {
        getChatCompletion();
    }

}

Output: 输出

Model ID=chatcmpl-xxxxx is created at 168776xxx.
Index: 0, Chat Role: assistant.
Message:
Yes, most Azure Cognitive Services support customer managed keys for enhanced security and compliance. Some of the popular services that support customer managed keys include Azure Cognitive Search, Azure Speech Services, Azure Language Understanding, and Azure Computer Vision.

Usage: number of prompt token is 59, number of completion token is 44, and number of total tokens in request and response is 103.

Reference: 引用

Azure OpenAI client library for Java | Microsoft Learn