chore: print more information in concat mode and handle empty tool calls for easy debugging

[nuzant]

Description

This pull request refactors warning logic and improves message similarity reporting in the OpenAI interaction cache and client modules. The main changes include removing global single-warning flags, enhancing the reporting of message differences, and improving handling of empty tool calls.

Warning logic and reporting improvements:

• Removed global warning flags (MESSAGE_SIMILARITY_WARNED and CONCAT_PROMPT_TOKEN_IDS_WARNED) in both cache.py and client.py, so warnings are now logged every time the condition is met instead of only once. [1] [2]
• Enhanced the _is_similar_on_last_message function in cache.py to return detailed differences between parent and child messages, improving the warning message with specific key differences. [1] [2]
• Updated the warning logic in concat_prompt_token_ids_with_parent in client.py to log a warning every time extra fields are present in messages, rather than only once.

Message and output handling improvements:

• In the create method of client.py, changed handling of tool_calls so that empty lists are converted to None, ensuring proper serialization and downstream handling.

Related Issue

Fixes #(issue)

Type of Change

• Bug fix (non-breaking change that fixes an issue)
• New feature (non-breaking change that adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not
  work as expected)
• Documentation update
• Code refactoring (no functional changes)
• Performance improvement
• Test coverage improvement

Checklist

• I have read the Contributing Guide
• I have run formatting tools (pre-commit or manual)
• I have run relevant unit tests and they pass
• I have added tests for new functionality
• I have updated documentation if needed
• My branch is up to date with main
• This PR introduces breaking changes (if yes, fill out details below)
• If this PR changes documentation, I have built and previewed it locally with
  jb build docs
• No critical issues raised by AI reviewers (/gemini review)

Breaking Change Details (if applicable):

Additional Context

---

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[gemini-code-assist]

Summary of Changes

Hello @nuzant, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the debugging experience and robustness of OpenAI interaction handling. It refactors warning mechanisms to provide more frequent and detailed feedback on message similarity issues and prompt concatenation, while also standardizing the representation of empty tool calls to prevent serialization problems. These changes aim to make it easier to identify and resolve issues related to conversation tree building and API interactions.

Highlights

• Warning Logic Refinement: Global warning flags (MESSAGE_SIMILARITY_WARNED, CONCAT_PROMPT_TOKEN_IDS_WARNED) have been removed from cache.py and client.py, ensuring that relevant warnings are logged every time their conditions are met, rather than only once.
• Enhanced Message Similarity Reporting: The _is_similar_on_last_message function in cache.py now returns specific key differences between messages, which are then incorporated into the warning logs for more detailed debugging information.
• Improved Tool Call Handling: In client.py, the create method now converts empty tool_calls lists to None, standardizing their representation for proper serialization and downstream processing.

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[gemini-code-assist]

Code Review

This pull request improves logging and debugging capabilities by removing one-time warning flags and providing more detailed information in warnings. The changes in cache.py to report differences in similar messages and in client.py to handle empty tool_calls are good enhancements. I've identified a few areas for improvement: an incorrect type hint, an opportunity for a more detailed warning message, and a typo in a comment. Overall, these are solid improvements.

[garrett4wade]

LGTM

[nuzant]

All related tests in areal/tests/experimental/openai/test_*.py have passed.