Getting AttributeError : module ‘openai’ has no attribute ‘error’

Community
1

model = AzureChatOpenAI(
openai_api_version=“2023-07-01-preview”,
azure_deployment=“DEPLOYMENT-NAME”,
)
chain = load_qa_chain(llm=model, chain_type=“stuff”)
response = chain.run(input_documents = retriever.get_relevant_documents(query=query), question = prompt)

2

Check OpenAI Library Version: Ensure that you are using the correct version of the OpenAI Python library. The OpenAI API might have been updated or changed, and your current library version may not be compatible with the code you are running.

3

You’re likely using an outdated version of langchain that’s using an older version of the openai package. Try updating it?

pip install langchain --upgrade

Based on this migration guide, the ErrorObject attribute has been removed from v1.0.0 onwards.

4

I can replicate the error quite easily.

GOOD: demonstration code like the API reference, error handling, and the latest python library. Bad API key:

import openai
from openai import OpenAI
client = OpenAI(api_key="123")
try:
    client.completions.create(prompt="hi", model="davinci", max_tokens=5)
except openai.BadRequestError as e:
    print(e)
except:
    print("uncaught")

Simply prints uncaught.

Now, what if we were to use obsolete error methods from the prior library?

BAD

import openai
from openai import OpenAI
client = OpenAI(api_key="123")
try:
    client.completions.create(prompt="hi", model="davinci", max_tokens=5)
except openai.error.InvalidRequestError as e:
    print(e)
except:
    print('error was not handled')

Traceback (most recent call last):
…
raise self._make_status_error_from_response(err.response) from None
openai.AuthenticationError: Error code: 401 - {‘error’: {‘message’: ‘Incorrect API key provided: 123. You can find your API key at https://platform.openai.com/account/api-keys.’, ‘type’: ‘invalid_request_error’, ‘param’: None, ‘code’: ‘invalid_api_key’}}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File “<pyshell#37>”, line 3, in
except openai.error.InvalidRequestError as e:
AttributeError: module ‘openai’ has no attribute ‘error’

so: new python, old code, error. Even errors on the errors.

5

I think you guys are saying that ‘openai.error’ is not a property that exists, when the API key exception is caught, which probably means ‘openai’ itself is non-null, but it’s missing the ‘error’ property. So maybe an older version of openai used to store errors there but no longer does?

6

It is that the when the parser gets to this line, after making the other adaptations to make the new client method work, when there is any exception to check, there is a traceback.

openai.error.AnyOldErrorException

(what wouldn’t “fail” is some version checking, but this change couldn’t have been anticipated in the old code.)

In the new version of the OpenAI library, the module or namespace “error” that previously contained exception classes, such as InvalidRequestError, was restructured and no longer exists. The errors are at the root of library hierarchy when you “iimport openai” (beta header request also sends more error info I think). Therefore, the new openai version, you need line-by-line exception value replacements, and have to almost get into library code (because of the lack of documentation and example) for all possible values, if you want to uniquely catch everything coded with an OpenAI error type.

1 Like
7

I’m having the same issue, has anyone found an answer to this? Prior to the API update, I was using this:

import openai

except (openai.error.Timeout, openai.error.APIError, openai.error.APIConnectionError) as e:
     print(e)

After the API update, I’ve tried using this:

from openai import OpenAI

except (OpenAI.error.Timeout, OpenAI.error.APIError, OpenAI.error.APIConnectionError) as e:
     print(e)

But get this error:

AttributeError: module ‘openai’ has no attribute ‘error’

I’ve also tried this variation:

from openai import OpenAI

except (OpenAI.Timeout, OpenAI.APIError, OpenAI.APIConnectionError) as e:
     print(e)

But that results in the same AttributeError:

AttributeError: type object ‘OpenAI’ has no attribute ‘Timeout’

All the documentation I can find still references the pre-update way of importing errors. How is this done post-update?

8

Try updating your OpenAI library to the latest…

1 Like
9

Ok, that brought me from v 1.6.1 to v 1.7.1, but the issue persists

10

Try taking out the exception? You can’t exclude if it’s not there?

Check libraries needed for OpenAI too.

11

Sorry, I found the answer, wasn’t reading carefully enough. From the official GitHub under Handling Errors:

import openai
from openai import OpenAI

client = OpenAI()

try:
    client.fine_tunes.create(
        training_file="file-XGinujblHPwGLSztz8cPS8XY",
    )
except openai.APIConnectionError as e:
    print("The server could not be reached")
    print(e.__cause__)  # an underlying Exception, likely raised within httpx.
except openai.RateLimitError as e:
    print("A 429 status code was received; we should back off a bit.")
except openai.APIStatusError as e:
    print("Another non-200-range status code was received")
    print(e.status_code)
    print(e.response)

So you have to import openai and OpenAI, then use openai without the .error in the except statements. Kind of messy, but as long as it works I guess.

2 Likes
12

Actually, if I’m not mistaken, there are two options. Let’s say that we want to handle error 429. We can do it with the RateLimitError class.

Option 1: Import RateLimitError class individually, but don’t import openai

import os
# Don't import openai
from openai import OpenAI, RateLimitError # Import class individually
client = OpenAI()
OpenAI.api_key = os.getenv('OPENAI_API_KEY')

try:
  # Make your OpenAI API request here
  response = client.completions.create(
    model="gpt-3.5-turbo-instruct",
    prompt="Say this is a test"
  )
  print(response)
except RateLimitError as e: # Don't use openai
  # Handle error 429
  print(f"Error 429: {e}")

Option 2: Don’t import RateLimitError class individually, but import openai

import os
import openai # Import openai
from openai import OpenAI # Don't import class individually
client = OpenAI()
OpenAI.api_key = os.getenv('OPENAI_API_KEY')

try:
  # Make your OpenAI API request here
  response = client.completions.create(
    model="gpt-3.5-turbo-instruct",
    prompt="Say this is a test"
  )
  print(response)
except openai.RateLimitError as e: # Use openai
  # Handle error 429
  print(f"Error 429: {e}")