mshumer/gpt-prompt-engineer

KeyError when accessing 'content' in API response at 12% progress

mattdaniell opened this issue · 0 comments

File:
claude_prompt_engineer.ipynb

Description:
When executing a specific part of the code that involves processing API responses, a KeyError is encountered, specifically when trying to access a 'content' key in the response dictionary. This issue consistently occurs approximately at 12% progress in our data processing workflow, indicating it may be related to the data returned by the API at that point.

Steps to Reproduce:

  1. Execute the code as per the normal workflow.
  2. Observe the progress until it reaches around 12%.
  3. The KeyError is thrown, indicating the absence of the 'content' key in one of the API response dictionaries.

Expected Behavior:
The expectation is that the API response will always include a 'content' key, as the code relies on this key for further processing.

Actual Behavior:
At about 12% progress, the API response apparently lacks the 'content' key, leading to a KeyError. This suggests either an inconsistency in the API's response structure or an unhandled edge case in the data.

Troubleshooting Steps Attempted:

  • Verified that the issue consistently occurs at the same point in the data processing pipeline.
  • Checked for any conditional logic that could lead to this issue, but found none that applies.
  • Considered implementing a check for the 'content' key before accessing it, but I am seeking clarification on whether the API's response structure is guaranteed to include this key in all cases.

Questions/Clarifications Sought:

  • Is the 'content' key expected to be present in all API responses under normal circumstances?
  • Could there be specific conditions under which the API might not return this key in the response?
  • Would it be recommended to implement additional error handling to account for the possibility of this key's absence?

Additional Context:
This issue impacts a critical part of our data processing pipeline, and resolving it is crucial for the continuity of our operations. Any insights or recommendations on how to handle such cases or confirmations on the API's expected behavior would be greatly appreciated.

Thank you for your assistance and looking forward to your guidance on resolving this issue.