feat: apify actors

[MQ37]

This PR integrates Apify Actors into CrewAI tools. ApifyActorsTool is a tool that allows you to call any Apify Actor from the Apify store within a CrewAI workflow.

[joaomdmoura]

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

Code Review Comment for PR #228: Initial Implementation of ApifyActorsTool

Overview

This Pull Request introduces the ApifyActorsTool class within the crewai-tools package, facilitating the interaction with Apify Actors. The integration enhances the functionality available to users, but some improvements are essential for robustness, clarity, and maintainability.

Detailed Suggestions for Improvement

1. Code Quality Enhancements

crewai_tools/tools/apify_actors/apify_actors.py

• Type Hints: The _run method lacks a return type annotation. It is important to specify the expected return type clearly.

  • Improvement:

    def _run(self, run_input: Dict[str, Any]) -> List[Dict[str, Any]]:

• Error Handling: The constructor should handle situations when the APIFY_API_TOKEN is absent more gracefully, potentially guiding users in resolving this issue.

• Docstrings: Ensure that all parameters, return types, and exceptions are described in the method docstrings for better understanding and documentation.

  • Missing details in docstring:

    Returns:
        List[Dict[str, Any]]: Results from the actor execution.
    
    Raises:
        ValueError: If 'actor_tool' is not initialized.

• Redundant Variable Assignment: Simplify the initialization by removing redundant variable assignments in the constructor to streamline code and improve clarity.

2. Dependency Management

pyproject.toml

• Version Constraints: It is advisable to add version constraints to dependencies to avoid potential breakages from updates.

  [project.optional-dependencies]
  apify = [
      "langchain-apify>=0.1.2,<0.2.0",
  ]

3. Documentation Enhancements

README.md

• Expand Documentation: The README file is well-structured but could be improved by including:
  • A dedicated section on error handling.
  • A troubleshooting guide to help users resolve common issues such as missing API tokens.
  • Additional code examples demonstrating the tool's use with various Apify actors.

Suggested additions:

## Error Handling
```python
try:
    tool = ApifyActorsTool(actor_name="apify/rag-web-browser")
    results = tool.run({"query": "test query"})
except ValueError as e:
    print(f"Configuration error: {e}")
except Exception as e:
    print(f"Execution error: {e}")

Troubleshooting

• Missing API Token: Ensure APIFY_API_TOKEN is set in your environment.
• Actor Not Found: Verify the actor_name exists in the Apify store.
• Invalid Input: Check the actor's input schema documentation.

### 4. General Recommendations
- **Testing**: The inclusion of unit tests for the `ApifyActorsTool` is crucial to ensure functionalities like actor execution are thoroughly vetted, particularly given its reliance on external services and tokens.
  
- **Robust Error Handling**: Further refine the handling of common API issues, e.g., invalid tokens or unreachable actors, to provide clearer feedback to users.

- **Rate Limiting**: Consider implementing rate-limiting logic for API calls to handle user requests more gracefully and to adhere to API usage policies.

## Conclusion
This initial implementation of the `ApifyActorsTool` lays an excellent foundation for integrating Apify capabilities into CrewAI workflows. With enhancements in code quality, documentation, and testing practices, this tool can become even more robust, user-friendly, and maintainable. These adjustments will significantly improve the developer experience for users adopting this new feature.

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These findings ensure that not only are the current implementations scrutinized for quality but also help foster an environment for continuous improvement through clear documentation and robust testing methods.

[jirispilka]

It is good, but lets work on the README, also usage in an agent is not clear to me.

[MQ37]

@joaomdmoura hey, could you please review this PR?