refactor: improve code readability and update model schema access in tool_usage.py

[theCyberTech]

• Reformatted the OPENAI_BIGGER_MODELS list for better readability.
• Updated the method for accessing the model schema in ToolUsage class to use model_json_schema() instead of schema().
• Enhanced conditional formatting for clarity in the add_image tool check.

These changes aim to enhance maintainability and clarity of the code.

[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for PR #1852

Overview

The changes introduced in this PR enhance the readability of the code and ensure compliance with updated API methods in the tool_usage.py file. This synthesis outlines specific areas of improvement, potential implications for related components, and draws on historical context where relevant.

Specific Code Improvements

1. OPENAI_BIGGER_MODELS List Reformatting

   • Current Change:

     OPENAI_BIGGER_MODELS = [
         "gpt-4",
         "gpt-4o",
         "o1-preview",
         "o1-mini",
         "o1",
         "o3",
         "o3-mini",
     ]

   • Suggested Improvement:

     OPENAI_BIGGER_MODELS = [
         "gpt-4",     # Standard GPT-4 model
         "gpt-4o",    # GPT-4 Optimized
         "o1-preview", # OpenAI One Preview
         "o1-mini",   # OpenAI One Mini
         "o1",        # OpenAI One
         "o3",        # OpenAI Three
         "o3-mini",   # OpenAI Three Mini
     ]

   • Rationale: Adding comments enhances clarity, particularly for models with less obvious designations. This improves maintainability for future developers.

2. Conditional Check Reformatting

   • Current Change:

     if (
         isinstance(tool, CrewStructuredTool)
         and tool.name == self._i18n.tools("add_image")["name"]
     ):  # type: ignore

   • Suggested Improvement:

     def _is_add_image_tool(self, tool: Any) -> bool:
         """Check if the tool is an add_image CrewStructuredTool."""
         return (
             isinstance(tool, CrewStructuredTool)
             and tool.name == self._i18n.tools("add_image")["name"]
         )
     
     # Usage:
     if self._is_add_image_tool(tool):
         # handle image tool

   • Rationale: Encapsulating the condition within a dedicated method improves readability and promotes reuse, while reducing the risk of type-related issues hidden by the # type: ignore comment.

3. Schema Access Update

   • Current Change:

     acceptable_args = tool.args_schema.model_json_schema()["properties"].keys()

   • Suggested Improvement:

     def _get_acceptable_args(self, tool: CrewStructuredTool) -> Set[str]:
         """Get acceptable arguments for the tool."""
         if tool.args_schema is None:
             return set()
         try:
             schema = tool.args_schema.model_json_schema()
             return set(schema.get("properties", {}).keys())
         except AttributeError:
             logger.warning(f"Could not get schema for tool {tool.name}")
             return set()

   • Rationale: Ensuring proper type checking and error handling enhances redundancy against potential crashes and improves the robustness of schema handling.

Historical Context and Related Recommendations

It is advisable to monitor the history of similar files and tools that interact with ToolUsage for any patterns or insights drawn from past modifications. Consider checking:

• Previous PRs that focus on similar functionality enhancements.
• Changes made in response to bug reports or performance improvements associated with the tools.

General Best Practices

1. Type Safety: Aim for comprehensive type hints across the code to avoid reliance on # type: ignore.
2. Error Handling: Enhance error handling strategies to cover unexpected situations and improve logging for debugging.
3. Documentation: Provide clear docstrings for functions and key data structures, especially for significant changes like the model array.

Security Considerations

• Validate all tool arguments adequately.
• Ensure secure authentication for model access.
• Always sanitize input data before processing.

Conclusion

The modifications significantly improve code readability and maintainability, directly aligning with modern practices. However, continued diligence towards type safety, error handling, and thorough documentation will further bolster overall code quality and robustness.

Overall Code Quality Rating: ⭐⭐⭐⭐ (4/5)

• Readability: Enhanced
• Maintainability: Improved
• Type Safety: Attention needed
• Error Handling: Could be strengthened

This PR is a commendable step towards optimizing our codebase, ensuring it remains adaptable for future advancements.

[bhancockio]

Hey @theCyberTech! Please DM me when this one is fully ready to review!