OpenAI Usage Error break stream

[MwSpaceLLC]

Description

We need to address an issue related to streaming errors from OpenAI.

When testing a call with a token that has no remaining balance, the stream response fails, resulting in an empty response. This causes the system to break without providing a clear error message for the UI/UX, leaving users without guidance.

How can we resolve this issue effectively?

Code example

No response

AI provider

"@ai-sdk/openai": "^1.0.10",

Additional context

To simulate a stream call using an API token with no balance or an inactive credit card, you can follow this approach. This example assumes you're working with a language like Python and an OpenAI-like API:

Example Code: Simulate a Call Stream

import openai

# Initialize OpenAI API with a token that lacks balance
openai.api_key = "your_invalid_or_insufficient_balance_token"

try:
    # Attempt a streaming call
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",  # Replace with the model you're testing
        messages=[{"role": "user", "content": "Hello, how are you?"}],
        stream=True  # Enable streaming response
    )

    # Process the streamed response
    for chunk in response:
        print(chunk["choices"][0]["delta"]["content"], end="", flush=True)

except openai.error.AuthenticationError as e:
    # Handle authentication or token errors
    print("Authentication failed:", str(e))

except openai.error.RateLimitError as e:
    # Handle rate limit or quota errors
    print("Rate limit or quota exceeded:", str(e))

except Exception as e:
    # Handle other unexpected errors
    print("An error occurred:", str(e))

Explanation: Setup:

Use an API token without a positive balance or linked payment method.
Replace your_invalid_or_insufficient_balance_token with the token for testing.
Stream Handling:

Use stream=True to request a streamed response from the API.
Process each chunk in the response, if available.
Error Handling:

AuthenticationError: Handles errors when the token is invalid or lacks permissions.
RateLimitError: Handles errors related to usage limits or zero balance.
General Exception: Catches other unexpected issues.
Feedback to UI/UX:

If the call fails, provide meaningful feedback through error messages to ensure users understand the issue (e.g., "Insufficient balance. Please recharge your account.").
Key Considerations:
Ensure the testing environment doesn't affect production systems.
Log errors appropriately for debugging while maintaining user-friendly messaging in the UI.