Valyu integration

[alexngys]

Add valyu context api tool to crew AI

[joaomdmoura]

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

Code Review Comment for ValyuContextTool Implementation

Overview

The addition of the ValyuContextTool enhances our semantic search capabilities using the Valyu API. While the core functionality is promising, several areas require attention to improve code quality, documentation, and usability.

Code Quality Findings

1. Error Handling

Current error handling is basic and could lead to vague user feedback during execution. Implementing more specific and structured error handling will not only improve the user experience but also facilitate debugging.

Specific Improvement:
Enhance error checks within the _run() method:

def _run(self, query: str, **kwargs) -> Any:
    try:
        if not query.strip():
            return {"success": False, "error": "Query cannot be empty"}
        response = self._client.context(**params)
        if not response:
            return {"success": False, "error": "No response from API"}
        return {"success": True, "results": self._format_results(response.results)}
    except ValyuAPIError as ve:
        return {"success": False, "error": f"API Error: {str(ve)}"}
    except Exception as e:
        return {"success": False, "error": f"Unexpected error: {str(e)}"}

2. Type Hints

Currently, the type hints lack consistency and specificity, which can lead to misinformation regarding expected input types.

Specific Improvement:
Refine type hints for clarity:

from typing import Dict, List, Optional, Union, Literal

SearchResult = Dict[str, Union[str, float]]
SearchType = Literal["proprietary", "web", "both"]

def _run(
    self,
    query: str,
    search_type: Optional[SearchType] = None,
    ...
) -> Dict[str, Union[bool, List[SearchResult], str]]:

3. Result Processing

The results processing logic is somewhat integrated into the _run() method, which hinders readability.

Specific Improvement:
Extract result formatting to a dedicated method:

def _format_results(self, results: List[Any]) -> List[Dict[str, Any]]:
    """Format API results into a consistent structure."""
    return [{"title": result.title, "url": result.url, "content": result.content,...} for result in results]

Documentation Improvements

Docstrings Enhancement

The docstrings need to be comprehensive to guide users accurately about functionality.

Suggested Improvement:
Add detailed docstrings for classes and methods:

class ValyuContextTool(BaseTool):
    """
    A tool for semantic search across proprietary and web content using the Valyu API.
    
    Attributes:
        name (str): The name of the tool
        ...
    Methods:
        _run: Execute the search query and return results
        ...
    """

README.md Improvements

The README file should be explicit about installation, configurations, and examples. Detailed documentation can vastly improve the user onboarding process.

Historical Context from Related PRs

Reflections from previous PRs highlight the necessity of a focus on documentation and user experience, as noted in discussions regarding error handling and the usability of error messages. Previous iterations revealed that proper documentation can significantly reduce onboarding times for new developers and help end-users fully utilize tool capabilities.

Specific Improvement Suggestions

1. Enhance error messages throughout the API interaction methods to provide clearer guidance during failures.
2. Ensure consistent use of type hints across all methods for better static analysis.
3. Modularize the code further to maintain cleanliness and readability in larger functions.
4. Refine documentation and include examples in the README.md to aid user interaction with the ValyuContextTool.

Conclusion

The ValyuContextTool presents a strong foundation for semantic search, but further enhancements in error handling, type safety, modular design, and comprehensive documentation will greatly improve the overall quality and usability. Addressing these aspects will lead to a more robust tool that meets user needs effectively.

Overall, the implementation reflects a commendable effort, and these recommendations aim to refine the tool's capability, ensuring a better experience for developers and users alike.

[alexngys]

@bhancockio was wondring who should i contact to do a review