Fallback to gpt-4o for tiktoken if openai model unrecognized

[whoisarpit]

PR Checklist

• The commit message follows our guidelines: Code of conduct
• Tests for the changes have been added (for bug fixes / features)
• Docs have been added / updated (for bug fixes / features)
• Does this PR introduce a breaking change?
• Include PR in release notes?

PR Type

• Bugfix
• Feature
• Refactoring
• Build /CI
• Documentation
• Others

What is the current behavior?

For o3-mini, tiktoken throws an unrecognized error. but there's no updated version of tiktoken which recognizes it.

What is the new behavior?

We're using a fallback

Other information

[jonahdc]

lgtm!

[patched-admin]

The pull request review highlights several points regarding the updated code and version bump. First, the addition of a try-except block in the code to handle encoding retrieval exceptions logs an error and defaults to 'gpt-4o' encoding, but there is a concern about whether this fallback is appropriate for all cases, as it may lead to incorrect encoding if 'gpt-4o' is not universally compatible. There are no immediate security vulnerabilities from this change, though caution is advised in managing logs to prevent exposure of sensitive information about configurations or model identifiers. On a positive note, the update of the function is_prompt_supported now incorporates a logger for error management, aligning with good coding standards. Lastly, the review criticizes the version bump from "0.0.95" to "0.0.96" for lacking accompanying code changes to justify the update, indicating no evident modifications that substantiate the version increase or represent actual changes in the project's codebase or functionality.

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• File changed: patchwork/common/client/llm/openai_.py
  1. Potential Bugs:
  • The updated code introduces a try-except block to handle exceptions when retrieving the encoding for a model. However, it only logs an error message and defaults to 'gpt-4o' encoding without any indication whether this fallback is appropriate for all cases. This could potentially lead to incorrect encoding if 'gpt-4o' is not compatible with other models.

2. Security Vulnerabilities:

   • The exception handling in the encoding retrieval does not give rise to any immediate security vulnerabilities. However, logging the error without proper context may expose sensitive information about configurations or model identifiers if the logs are not managed securely.

3. Coding Standards Adherence:

   • The function is_prompt_supported now utilizes a logger to handle errors, which is a good practice in terms of logging standards.
   • The addition of the `

• File changed: pyproject.toml
  The provided patch only contains a version bump from "0.0.95" to "0.0.96" and does not include any code changes that could introduce potential bugs, security vulnerabilities, or deviations from coding standards. However, it's important to accompany version changes with corresponding code modifications to verify that the version update represents an actual change in the codebase or functionality. As it stands, there is no context on whether corresponding updates or changes have been made elsewhere in the project to warrant a version change.