Random : 'aiohttp...ClientResponseError'

have a action/tool that seems to work unreliably, no seen errors in google : log explorer.
sometimes it’s successful, sometimes not but the error isn’t helpful in debugging, or at least I’ve not been able to remedy.

where to start with:
“Encountered exception: <class ‘aiohttp.client_exceptions.ClientResponseError’>.”

The aiohttp.client_exceptions.ClientResponseError is a type of error that occurs when there’s an issue with the response from the server. This could be due to a variety of reasons such as a network issue, server error, or even a bug in your code. Here are a few steps you can take to debug this issue:

  1. Check the server status : If the server you’re trying to reach is down or experiencing issues, it could result in this error. You can usually check the status of the server on their status page.

  2. Inspect the error message : The error message associated with the ClientResponseError can often provide more details about what went wrong. If you’re not already logging this information, you might want to modify your code to do so.

  3. Retry the request : As mentioned in the OpenAI Help Article (https://help.openai.com/en/articles/6897179-apierror), sometimes the issue may be temporary and can be resolved by simply retrying the request after a few seconds.

  4. Check your code : Make sure that your code is correctly handling the response from the server. For example, you might be trying to read the response as JSON when it’s not in that format.

  5. Update your libraries : If you’re using an outdated version of the aiohttp library or any other library, updating to the latest version might resolve the issue. For instance, some users have reported similar issues on the OpenAI Python API library Github (Error: Response payload is not completed · Issue #574 · openai/openai-python · GitHub) which were resolved after updating the library.

  6. Handle the exception : You can handle this exception in your code to prevent it from interrupting the execution of your program. Here’s an example of how to do this using a try/except block:

try: # Your code here 
except aiohttp.client_exceptions.ClientResponseError as e: 
print(f"Encountered an error: {e}") ```

I also can obtain an answer from an AI, but with proper attribution that the answer was generated by gpt-4-0613 (not GPT-4-Turbo, which was vapid and meaningless)

In this case, I understood the context of the question posed, got documentation for GPTs, actions, and existing plugin methods, and gave OP’s question proper framing of what actions/tool and google log explorer implied, and emphasized the only occasional nature.

The error you’re encountering, aiohttp.client_exceptions.ClientResponseError, occurs when the aiohttp client library receives a response it cannot process from the server. This library is commonly used in Python applications for sending HTTP requests and handling their responses. Given the exception you’re encountering, it suggests that either a non-HTTP response is being returned, or an otherwise unexpected response is being received.

Based on the additional information provided, it appears that this is happening occasionally within a custom GPT Action on OpenAI’s GPT platform, wherein the action is communicating with an API hosted on Google’s computing platform. The intermittence of the issue is a key consideration, which may suggest possible causes including network connectivity issues, intermittent server-side errors, or occasional malformed responses.

Let’s break down how the error can arise in different stages of communication, and the troubleshooting steps that can be performed within the developer’s control:

GPT Plugin/Action Hosting on OpenAI

The error could originate from the GPT action itself. The code that constructs or handles the aiohttp requests could be occasionally producing or returning malformed requests or responses, or it could be incorrectly handling HTTP error statuses.

If the error log or stack trace gives any indication about where in the code the exception is being raised, this would be your starting point for investigation. Consider adding more comprehensive logging within your GPT action. You might catch exceptions around the aiohttp requests and log additional information, such as the full URL being requested, HTTP method, request headers, and body. Please make sure sensitive data is not being logged.

Network Communication

This error might arise from network-level issues between the OpenAI GPT action and the Google-hosted API server. These could include intermittent connectivity issues or firewalls that are occasionally preventing the HTTP request or response.

Although complete diagnosis of network issues might be outside of a developer’s control in a hosted environment like OpenAI’s GPT platform, you could potentially gather more information about when and where the issue arises by logging relevant data about each API call (again, avoid logging sensitive data). In an intermittent issue like this, log data can help identify any patterns or correlations associated with the errors.

Google-hosted API

The Google-hosted API server might occasionally return non-HTTP responses, server error statuses (like 500), or responses that are otherwise incompatible with what your GPT action expects, causing the aiohttp library to raise an exception.

You could add error handling in the GPT action to catch ClientResponseError exceptions, log relevant information about the response, and provide this data to whoever manages the Google-hosted API server for further debugging. If the API server logs its own errors, it might be useful to cross-reference the logged errors from your GPT action with the server logs to get a better understanding of any server-side errors.

Final Thoughts

Due to the intermittent nature of this error, identifying the root cause might require a careful investigation process. However, by focusing on these three areas - the GPT action, the networking, and the Google API server - you may be able to identify helpful patterns or insights. The key tool at your disposal here is comprehensive, secure logging. While this won’t avoid the error, having detailed information available will make it significantly easier to identify and address the root cause when it does occur.

I thought of another thing you can do, given how much is ultimately out of your control: Duplicate the function of your GPT, but instead extend the instruction to make it “external tool unit-test stresser GPT”.

Have the AI attempt to make simulated typical interactions with the tool function in multiple varied iterative requests per user input, attempting to first stimulate the aiohttp error, and then focus on identifying those types of interactions with API that produce failure, identifying any pattern that emerges.

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this just seems an intermittent issue; when there’s an error there is no log on the google cloud side;
then randomly the call just works, with no explanation or change on my part.

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I’m having the same issue with my Custom GPT. Most of the time it works just fine. Occasionally, it throws “Encountered exception: <class ‘aiohttp.client_exceptions.ClientResponseError’>.”

Here is an image of the issue:

The API is running on Google Cloud’s Cloud Run and as @thx2190 I see nothing in my logs when these errors occur. Trying to make the same request manually using Postman works as expected.

Any help on this would be welcome :slight_smile:

Actions are completely unusable currently (and have been for a while). There’s posts about this error all over the forums. Is anyone working on this? What’s so difficult about handling an exception and displaying a sensible error message? What is OpenAI doing with it’s billions of dollars? So many questions @SamAltman