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feature:1.0.11 支持tokens、增加新的余额查询、Embeddings支持数组传入， BUG修复
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‎README.md

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@@ -31,6 +31,7 @@ WebSocket参考：[OpenAIWebSocketEventSourceListener](https://github.com/Grt122
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<img src="https://user-images.githubusercontent.com/27008803/225246389-7b452214-f3fe-4a70-bd3e-832a0ed34288.jpg" width="210" height="300" alt="二维码" /> | <img src="https://g-photo.oss-cn-shanghai.aliyuncs.com/hd15.jpg" width="210" height="210" alt="二维码" /> | <img src="https://user-images.githubusercontent.com/27008803/225246581-15e90f78-5438-4637-8e7d-14c68ca13b59.jpg" width="210" height="300" alt="二维码" />
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---
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## 更新日志
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- [x] 1.0.11 增加新的余额查询接口参考：[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) ,修复tokens计算慢的问题，
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- [x] 1.0.10 支持tokens计算：[TikTokensTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/TikTokensTest.java) ，更多详细的资料参考文档：[Tokens_README.md](https://github.com/Grt1228/chatgpt-java/blob/main/Tokens_README.md)
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- [x] 1.0.9 支持自定义key使用策略参考：[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) ，弃用ChatGPTClient，优化Moderation接口
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- [x] 1.0.8 修改OpenAiClient和OpenAiStreamClient的自定义相关实现，超时设置，代理设置，自定义拦截器设置改为通过自定义OkHttpClient实现，将OkHttpClient交由用户自定义控制更加合理，可以实现更多的参数自定义。支持多Api Keys配置。

‎pom.xml

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<groupId>com.unfbx</groupId>
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<artifactId>chatgpt-java</artifactId>
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<version>1.0.10</version>
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<version>1.0.11</version>
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<name>chatgpt-java</name>
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<description>OpenAI Java SDK, OpenAI Api for Java. ChatGPT Java SDK .</description>
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<url>https://www.unfbx.com</url>

‎src/main/java/com/unfbx/chatgpt/OpenAiApi.java

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@@ -120,7 +120,7 @@ Single<ImageResponse> variationsImages(@Part() MultipartBody.Part image,
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);
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/**
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* Creates an embedding vector representing the input text.
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* 文本向量计算
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*
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* @param embedding
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* @return Single EmbeddingResponse

‎src/main/java/com/unfbx/chatgpt/OpenAiClient.java

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@@ -382,12 +382,25 @@ private void checkImageSize(java.io.File image) {
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}
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/**
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* Creates an embedding vector representing the input text.
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* 向量计算：单文本
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*
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* @param input
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* @return EmbeddingResponse
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*/
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public EmbeddingResponse embeddings(String input) {
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List<String> inputs = new ArrayList<>(1);
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inputs.add(input);
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Embedding embedding = Embedding.builder().input(inputs).build();
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return this.embeddings(embedding);
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}
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/**
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* 向量计算：集合文本
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*
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* @param input
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* @return EmbeddingResponse
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*/
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public EmbeddingResponse embeddings(List<String> input) {
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Embedding embedding = Embedding.builder().input(input).build();
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return this.embeddings(embedding);
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}

‎src/main/java/com/unfbx/chatgpt/entity/embeddings/Embedding.java

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import lombok.extern.slf4j.Slf4j;
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import java.io.Serializable;
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import java.util.List;
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import java.util.Objects;
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/**
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* 必选项：长度不能超过：8192
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*/
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@NonNull
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private String input;
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private List<String> input;
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private String user;
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this.model = model.getName();
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}
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public void setInput(String input) {
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if (input == null || "".equals(input)) {
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log.error("input不能为空");
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throw new BaseException(CommonError.PARAM_ERROR);
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}
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if (input.length() > 8192) {
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log.error("input超长");
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throw new BaseException(CommonError.PARAM_ERROR);
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}
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this.input = input;
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}
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public void setUser(String user) {
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this.user = user;

‎src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java

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import com.fasterxml.jackson.databind.DeserializationFeature;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.databind.SerializationFeature;
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import com.unfbx.chatgpt.entity.billing.BillingUsage;
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import com.unfbx.chatgpt.entity.billing.CreditGrantsResponse;
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import com.unfbx.chatgpt.entity.billing.Subscription;
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import com.unfbx.chatgpt.entity.chat.ChatCompletion;
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import com.unfbx.chatgpt.entity.chat.ChatCompletionResponse;
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import com.unfbx.chatgpt.entity.chat.Message;
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import java.net.InetSocketAddress;
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import java.net.Proxy;
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import java.time.LocalDate;
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import java.util.*;
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import java.util.concurrent.TimeUnit;
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//.keyStrategy(new KeyRandomStrategy())
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.keyStrategy(new FirstKeyStrategy())
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.okHttpClient(okHttpClient)
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//自己做了代理就传代理地址，没有可不不传
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//自己做了代理就传代理地址，没有可不不传,(关注公众号回复：openai ，获取免费的测试代理地址)
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// .apiHost("https://自己代理的服务器地址/")
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.build();
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}
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@Test
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public void subscription() {
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Subscription subscription = v2.subscription();
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log.info("用户名：{}", subscription.getAccountName());
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log.info("用户总余额（美元）：{}", subscription.getHardLimitUsd());
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log.info("更多信息看Subscription类");
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}
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@Test
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public void billingUsage() {
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LocalDate start = LocalDate.of(2023, 3, 7);
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BillingUsage billingUsage = v2.billingUsage(start, LocalDate.now());
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log.info("总使用金额（美分）：{}", billingUsage.getTotalUsage());
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log.info("更多信息看BillingUsage类");
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}
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@Test
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public void chatTokensTest() {
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@Test
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public void genImages() {
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Image image = Image.builder().prompt("电脑画面").build();
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Image image = Image.builder().prompt("电脑画面").responseFormat(ResponseFormat.B64_JSON.getName()).build();
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ImageResponse imageResponse = v2.genImages(image);
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System.out.println(imageResponse);
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}
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@Test
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public void embeddingsV2() {
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Embedding embedding = Embedding.builder().input("我爱你亲爱的姑娘").build();
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Embedding embedding = Embedding.builder().input(Arrays.asList("我爱你亲爱的姑娘", "i love you")).build();
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EmbeddingResponse embeddings = v2.embeddings(embedding);
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System.out.println(embeddings);
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}
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@Test
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public void embeddingsV3() {
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EmbeddingResponse embeddings = v2.embeddings(Arrays.asList("我爱你亲爱的姑娘", "i love you"));
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System.out.println(embeddings);
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}
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@Test
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public void embeddings() {
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EmbeddingResponse embeddings = v2.embeddings("The food was delicious and the waiter...");
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EmbeddingResponse embeddings = v2.embeddings("我爱你");
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System.out.println(embeddings);
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}
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‎src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java

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package com.unfbx.chatgpt;
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import com.unfbx.chatgpt.entity.billing.BillingUsage;
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import com.unfbx.chatgpt.entity.billing.CreditGrantsResponse;
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import com.unfbx.chatgpt.entity.billing.Subscription;
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import com.unfbx.chatgpt.entity.chat.ChatCompletion;
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import com.unfbx.chatgpt.entity.chat.Message;
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import com.unfbx.chatgpt.entity.completions.Completion;
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import java.net.InetSocketAddress;
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import java.net.Proxy;
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import java.time.LocalDate;
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import java.util.Arrays;
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import java.util.concurrent.CountDownLatch;
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import java.util.concurrent.TimeUnit;
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@Before
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public void before() {
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//国内访问需要做代理，国外服务器不需要
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Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress("127.0.0.1", 7890));
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// Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress("127.0.0.1", 7890));
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HttpLoggingInterceptor httpLoggingInterceptor = new HttpLoggingInterceptor(new OpenAILogger());
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//！！！！千万别再生产或者测试环境打开BODY级别日志！！！！
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//！！！生产或者测试环境建议设置为这三种级别：NONE,BASIC,HEADERS,！！！
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httpLoggingInterceptor.setLevel(HttpLoggingInterceptor.Level.HEADERS);
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OkHttpClient okHttpClient = new OkHttpClient
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.Builder()
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.proxy(proxy)
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// .proxy(proxy)
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.addInterceptor(httpLoggingInterceptor)
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.connectTimeout(30, TimeUnit.SECONDS)
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.writeTimeout(30, TimeUnit.SECONDS)
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// .keyStrategy(new KeyRandomStrategy())
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.keyStrategy(new FirstKeyStrategy())
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.okHttpClient(okHttpClient)
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//自己做了代理就传代理地址，没有可不不传
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//自己做了代理就传代理地址，没有可不不传（(关注公众号回复：openai ，获取免费的测试代理地址)）
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// .apiHost("https://自己代理的服务器地址/")
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.build();
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}
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@Test
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public void subscription() {
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Subscription subscription = client.subscription();
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log.info("用户名：{}", subscription.getAccountName());
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log.info("用户总余额（美元）：{}", subscription.getHardLimitUsd());
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log.info("更多信息看Subscription类");
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}
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@Test
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public void billingUsage() {
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LocalDate start = LocalDate.of(2023, 3, 7);
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BillingUsage billingUsage = client.billingUsage(start, LocalDate.now());
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log.info("总使用金额（美分）：{}", billingUsage.getTotalUsage());
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log.info("更多信息看BillingUsage类");
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}
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@Test
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public void creditGrants() {
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CreditGrantsResponse creditGrantsResponse = client.creditGrants();

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