题意：怎样从OpenAI API获取响应头（Headers）

问题背景：

I am relatively new to the OpenAI API and am trying to obtain my rate limits through the HTTP headers of the response, as discussed https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-free. However, none of the calls to OpenAI are returning a response with a headers attribute.

我相对来说是OpenAI API的新手，并正在尝试通过响应的HTTP头部来获取我的速率限制，正如在https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-free中讨论的那样。然而，所有对OpenAI的调用都没有返回一个带有headers属性的响应。

I have tried with both the [https://platform.openai.com/docs/libraries/python-library](openai package) (code below) and llama-index.

我尝试了使用[https://platform.openai.com/docs/libraries/python-library](openai package)（下面的代码）和llama-index

from openai import OpenAI
client = OpenAI(
    # Defaults to os.environ.get("OPENAI_API_KEY")
    # Otherwise use: api_key="Your_API_Key",
)

chat_completion = client.chat.completions.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello world"}]
)

I'm obviously missing something obvious so if anyone can tell me it would be hugely appreciated!

我显然遗漏了一些显而易见的东西，所以如果有人能告诉我，我将不胜感激！

问题解决：

Ask for the raw response object like:        请求原始响应对象，像这样：

from openai import OpenAI
client = OpenAI(
    # Defaults to os.environ.get("OPENAI_API_KEY")
    # Otherwise use: api_key="Your_API_Key",
)

raw_response = client.chat.completions.with_raw_response.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello world"}]
)

chat_completion = raw_response.parse()
response_headers = raw_response.headers