题意：为什么我新部署的Azure OpenAI服务会出现404资源未找到的错误？
问题背景：
I’ve gone through this quickstart and I created my Azure OpenAI resource + created a model deployment which is in state succeedded. I also playaround it in Azure OpenAI Studio – Microsoft Azure and it works there.
我已经按照快速入门指南操作，创建了我的Azure OpenAI资源，并成功部署了一个模型。我也在Azure OpenAI Studio – Microsoft Azure中测试了它，并且在那里工作正常。
But, If I try to reach it from REST API is returns 404 Resource Not Found. I defined the api-key header, and took the url and json from Code View -> json from inside the playground.
但是，如果我尝试通过REST API访问它，它会返回404资源未找到。我已经定义了api-key头部，并且从playground里面的Code View->json获取了URL和JSON。
I’m executing
POST https://raz-openai.openai.azure.com/openai/deployments/raz-model-2/completions?api-version=2022-12-01 { “prompt”: “”, “max_tokens”: 100 } with api-key header
Am I missing another step?
我是不是遗漏了其他步骤？
问题解决：
I was also getting a 404 calling the Chat Completions API (https://{resource}.openai.azure.com/openai/deployments/{deployment}/chat/completions) and it turned out that I was using the wrong version. Each model has one or more versions that can be found at Azure OpenAI Service REST API reference.
我在调用聊天补全API（https://{resource}.openai.azure.com/openai/deployments/{deployment}/chat/completions）时也遇到了404错误，后来发现是我使用了错误的版本。每个模型都有一个或多个版本，可以在Azure OpenAI服务REST API参考中找到。
For me, hitting the chat completions (ChatGPT), the correct URL with version was:
对于我来说，在调用聊天补全（ChatGPT）时，带有版本的正确URL是：
https://{resource}.openai.azure.com/openai/deployments/{deployment}/chat/completions?api-version=2023-03-15-preview
Any other version will give a 404 Resource Not Found.
任何其他版本都会返回404资源未找到错误。
Also, here are the definitions of those variables:
另外，以下是这些变量的定义：
- Resource: Take from the Azure endpoint URL, which can be found on the Overview page in your OpenAI Services resource. The format should be something like https://{resource}.openai.azure.com/
资源（Resource）：从Azure端点URL中获取，该URL可以在你的OpenAI服务资源的“概览”页面中找到。URL的格式应该类似于https://{resource}.openai.azure.com/，其中{resource}是你的OpenAI资源名称。这个URL是你与Azure OpenAI服务进行交互的基础，用于构建指向不同API端点的请求。
- Deployment (aka deployment-id): You can find this in the Azure portal under the Model Deployments section. Each model has a “Model Deployment Name” and this is your Deployment ID. This isn’t going to be the OpenAI name (like gpt-35-turbo) but rather the name you gave it when creating the model deployment.
部署（Deployment）（也称为部署ID）：你可以在Azure门户的“模型部署”部分找到这个信息。每个模型都有一个“模型部署名称”，这就是你的部署ID。这个名称不是OpenAI的模型名称（如gpt-35-turbo），而是你在创建模型部署时自己指定的名称。确保在调用API时使用了正确的部署名称，以便能够正确地与你的自定义模型部署进行交互。
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