resource not found with Azure OpenAI service

营赢盈英2024-08-11 19:55

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：

cs 复制代码 
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：

cs 复制代码 
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："

cs 复制代码 
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:

cs 复制代码 
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

cs 复制代码 
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

相关推荐
Funny_AI_LAB5 小时前
OpenAI DevDay 2025：ChatGPT 进化为平台，开启 AI 应用新纪元
人工智能·ai·语言模型·chatgpt
Damon小智7 小时前
玩转CodeX：CodeX安装教程（Windows+Linux+MacOS）
linux·windows·macos·ai·ai编程·codex·gpt-5
Elastic 中国社区官方博客8 小时前
Elasticsearch：使用推理端点及语义搜索演示
大数据·数据库·人工智能·elasticsearch·搜索引擎·ai·全文检索
realhuizhu10 小时前
📚 技术人的阅读提效神器：多语言智能中文摘要生成指令
人工智能·ai·chatgpt·prompt·提示词·总结·deepseek·摘要
新智元13 小时前
谷歌杀入诺奖神殿，两年三冠五得主！世界TOP3重现贝尔实验室神话
人工智能·openai
花生糖@13 小时前
ST-Raptor：无需微调，准确率超越 GPT-4o 的半结构化表格问答新范式
ai·gpt-4·st-raptor
宝桥南山14 小时前
Azure - 尝试创建并使用一下Azure AI Search
microsoft·微软·azure
Damon小智16 小时前
玩转ClaudeCode：通过Excel-MCP实现数据清洗并写入Excel
ai·excel·ai编程·claude·chrome devtools·rpa·claude code
拆房老料1 天前
Transformer推理优化全景：从模型架构到硬件底层的深度解析
深度学习·ai·自然语言处理·transformer
Learn Beyond Limits1 天前
Mean Normalization｜均值归一化
人工智能·神经网络·算法·机器学习·均值算法·ai·吴恩达
热门推荐
01两千字总结：Codex 国内如何安装和使用的教程，以及如何设置中文回答02GitHub 镜像站点03UV安装并设置国内源04Linux下V2Ray安装配置指南05KGG转MP3工具|非KGM文件|解密音频06jdk21下载、安装（Windows、Linux、macOS）07Claude Code & 智谱GLM-4.5 环境配置指南 (Windows/macOS/Ubuntu)08DeepSeek-VL 解析：混合视觉-语言模型如何超越传统计算机视觉方法09一文了解国产算子编程语言 TileLang，TileLang 对国产开源生态的影响与启示1046个Nano-banana 精选提示词，持续更新中