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‎.github/workflows/checker.yml‎

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distribution: 'temurin'
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- run: chmod 755 ./mvnw
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- run: |
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./mvnw clean install test -Dfindbugs.skip -Dcheckstyle.skip -Dgpg.skip -Dskip.yarn -Dopenai.token=${{ secrets.OPENAI_TOKEN }} -Dproxy.token=${{ secrets.PROXY_TOKEN }} -Dproxy.host=${{ secrets.PROXY_HOST }} -Dazure.token=${{ secrets.AZURE_TOKEN}}
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./mvnw clean install test -Dfindbugs.skip -Dcheckstyle.skip -Dgpg.skip -Dskip.yarn -Dopenai.token=${{ secrets.OPENAI_TOKEN }} -Dproxy.token=${{ secrets.PROXY_TOKEN }} -Dproxy.host=${{ secrets.PROXY_HOST }} -Dazure.token=${{ secrets.AZURE_TOKEN}} -Dclaude.token=${{ secrets.CLAUDE_TOKEN }}
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before_checker_package:
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runs-on: ubuntu-latest

‎docs/docs/reference/anthropic/completions.md‎

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---
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title: Completions
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---
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!!! note
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Support the claude, product address: [https://claude.ai/](https://claude.ai/)
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### Create completion
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---
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Creates a completion for the provided prompt and parameters.
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```java
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// Automatic resource release
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try(OpenAiClient client=OpenAiClient.builder()
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.apiKey(System.getProperty("claude.token"))
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.provider(ProviderModel.CLAUDE)
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.build())
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{
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CompletionEntity configure = CompletionEntity.builder()
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.model(CompletionModel.CLAUDE_2.getName())
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.prompt("How to create a completion")
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.build();
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client.createCompletion(configure).getChoices();
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}
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```
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‎docs/docs/reference/anthropic/completions.zh.md‎

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---
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title: Completions
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---
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!!! note
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支持 claude，产品地址: [https://claude.ai/](https://claude.ai/)
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### Create completion
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---
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为提供的提示和参数创建补全。
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```java
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// Automatic resource release
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try(OpenAiClient client=OpenAiClient.builder()
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.apiKey(System.getProperty("claude.token"))
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.provider(ProviderModel.CLAUDE)
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.build())
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{
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CompletionEntity configure = CompletionEntity.builder()
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.model(CompletionModel.CLAUDE_2.getName())
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.prompt("How to create a completion")
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.build();
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client.createCompletion(configure).getChoices();
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}
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```

docs/docs/reference/provider/azure.md renamed to docs/docs/reference/azure/completions.md

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---
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title: Azure OpenAI
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title: Completions
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---
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!!! note
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| `model` | Model name deployed in Azure |
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| `version` | Model version deployed in Azure |
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### Example
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### Create completion
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---
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Creates a completion for the provided prompt and parameters.
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```java
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// Automatic resource release
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try(OpenAiClient client=OpenAiClient.builder()
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.version("2022-12-01")
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.build())
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{
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CompletionEntity configure = CompletionEntity.builder()
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.model(CompletionModel.TEXT_DAVINCI_003.getName())
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.prompt("How to create a completion")
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.temperature(2D)
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.build();
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client.createCompletion(configure).getChoices();
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}
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```

‎docs/docs/reference/azure/completions.zh.md‎

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---
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title: Completions
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---
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!!! note
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支持微软提供的 Open Ai服务，产品地址： [https://azure.microsoft.com/zh-cn/products/cognitive-services/openai-service/](https://azure.microsoft.com/zh-cn/products/cognitive-services/openai-service/)
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### Required
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---
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!!! note
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以下是调用服务必须指定的一些配置.
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| name | description |
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|:----------:|-----------------------------------------------------|
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| `apiHost` | 以 `${your-resource-name}.openai.azure.com` 格式创建区域标记 |
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| `apiKey` | Azure 令牌 |
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| `provider` | 指定 `ProviderModel.azure` |
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| `model` | Azure 中部署的模型名称 |
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| `version` | Azure 中部署的模型版本 |
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### Create completion
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---
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为提供的提示和参数创建补全。
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```java
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// 自动资源释放
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try(OpenAiClient client=OpenAiClient.builder()
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.apiHost("https://eus-chatgpt.openai.azure.com")
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.apiKey(System.getProperty("azure.token"))
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.provider(ProviderModel.azure)
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.model("text-davinci-002")
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.version("2022-12-01")
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.build())
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{
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CompletionEntity configure = CompletionEntity.builder()
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.model(CompletionModel.TEXT_DAVINCI_003.getName())
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.prompt("How to create a completion")
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.temperature(2D)
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.build();
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client.createCompletion(configure).getChoices();
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}
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```

‎docs/docs/reference/azure/completions_chat.md‎

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---
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title: Chat Completions
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---
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!!! note
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Support the Open Ai service provided by Microsoft, product address: [https://azure.microsoft.com/zh-cn/products/cognitive-services/openai-service/](https://azure.microsoft.com/zh-cn/products/cognitive-services/openai-service/)
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### Required
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---
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!!! note
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The following are some configurations that must be specified to invoke the service.
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| name | description |
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|:----------:|-----------------------------------------------------------------------------|
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| `apiHost` | Created zone markers in the format `${your-resource-name}.openai.azure.com` |
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| `apiKey` | Azure token |
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| `provider` | Specify `ProviderModel.azure` |
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| `model` | Model name deployed in Azure |
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| `version` | Model version deployed in Azure |
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### Create chat completion
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---
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Creates a model response for the given chat conversation.
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```java
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// Automatic resource release
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try(OpenAiClient client=OpenAiClient.builder()
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.apiHost("https://eus-chatgpt.openai.azure.com")
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.apiKey(System.getProperty("azure.token"))
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.provider(ProviderModel.azure)
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.model("text-davinci-002")
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.version("2022-12-01")
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.build())
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{
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List<CompletionMessageEntity> messages = Lists.newArrayList();
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messages.add(CompletionMessageEntity.builder()
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.content("Hello, my name is openai-java-sdk")
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.build());
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CompletionChatEntity configure = CompletionChatEntity.builder()
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.messages(messages)
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.build();
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client.createChatCompletion(configure)
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.getChoices()
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.forEach(choice -> messages.add(choice.getMessage()));
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messages.add(CompletionMessageEntity.builder()
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.content("What is my name?")
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.build());
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client.createChatCompletion(configure).getChoices();
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}
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```
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‎docs/docs/reference/azure/completions_chat.zh.md‎

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---
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title: Chat Completions
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---
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!!! note
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支持微软提供的 Open Ai服务，产品地址： [https://azure.microsoft.com/zh-cn/products/cognitive-services/openai-service/](https://azure.microsoft.com/zh-cn/products/cognitive-services/openai-service/)
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### Required
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---
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!!! note
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以下是调用服务必须指定的一些配置.
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| name | description |
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|:----------:|-----------------------------------------------------|
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| `apiHost` | 以 `${your-resource-name}.openai.azure.com` 格式创建区域标记 |
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| `apiKey` | Azure 令牌 |
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| `provider` | 指定 `ProviderModel.azure` |
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| `model` | Azure 中部署的模型名称 |
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| `version` | Azure 中部署的模型版本 |
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### Create chat completion
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---
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为给定的聊天对话创建模型响应。
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```java
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// Automatic resource release
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try(OpenAiClient client=OpenAiClient.builder()
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.apiHost("https://eus-chatgpt.openai.azure.com")
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.apiKey(System.getProperty("azure.token"))
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.provider(ProviderModel.azure)
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.model("text-davinci-002")
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.version("2022-12-01")
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.build())
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{
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List<CompletionMessageEntity> messages = Lists.newArrayList();
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messages.add(CompletionMessageEntity.builder()
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.content("Hello, my name is openai-java-sdk")
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.build());
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CompletionChatEntity configure = CompletionChatEntity.builder()
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.messages(messages)
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.build();
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client.createChatCompletion(configure)
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.getChoices()
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.forEach(choice -> messages.add(choice.getMessage()));
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messages.add(CompletionMessageEntity.builder()
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.content("What is my name?")
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.build());
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client.createChatCompletion(configure).getChoices();
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}
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```
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docs/docs/reference/audio.md renamed to docs/docs/reference/openai/audio.md

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docs/docs/reference/audio.zh.md renamed to docs/docs/reference/openai/audio.zh.md

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docs/docs/reference/completions.md renamed to docs/docs/reference/openai/completions.md

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