API error 504 in call to chatopenai

HI experts

I am trying to run the notebook in deeplearning.ai’s course ‘LangChain for LLM Application Development’ the Question Answering notebook and get the following error below. Anybody got an hint why? Thanks.

Retrying langchain.chat_models.openai.ChatOpenAI.completion_with_retry.._completion_with_retry in 16.0 seconds as it raised APIError: HTTP code 504 from API (

504 Gateway Time-out

504 Gateway Time-out

).

You can see this is not an expected return type by the API itself:

This is likely a platform problem with the site out of your control.

You might follow along, but getting more out of the course, by using python and modules installed locally on your own hardware and your own API account key.

If you encounter an API error with a status code 504 while making a call to the Chat API, it typically means that the server did not receive a timely response from an upstream server. Here are a few steps you can take to address this issue:

  1. Check your internet connection: Ensure that you have a stable internet connection to rule out any network-related problems.

  2. Retry the API call: The 504 error may be a temporary issue. Retry the API call after waiting for a short while, as it could be a temporary glitch.

  3. Optimize your API usage: If you’re making frequent or large API calls, you may be exceeding your rate limits. Review the rate limits provided by the API documentation and ensure you’re staying within those limits.

  4. Check OpenAI status: Visit OpenAI’s status page or official channels to check if there are any known issues or maintenance activities affecting the API service. This information can help determine if the error is on your end or with the API service itself.

  5. Contact OpenAI support: If the issue persists and you’re unable to resolve it, reach out to OpenAI support for assistance. They can provide you with more specific guidance and help troubleshoot the issue.

Remember, it’s important to review the OpenAI API documentation and follow best practices to ensure smooth and reliable API integration.

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