Implement set_knowledge method in BaseAgent (fixes #2385)

[devin-ai-integration]

Implement set_knowledge method in BaseAgent

This PR implements the set_knowledge method in BaseAgent to enable knowledge integration for CrewAI agents, as requested in issue #2385. The implementation allows agents to utilize various knowledge sources such as text files, PDFs, CSV files, JSON files, web pages, YouTube videos, and documentation websites.

Changes

• Added embedder_config attribute to BaseAgent
• Implemented set_knowledge method in BaseAgent with proper validation
• Added comprehensive test for the set_knowledge method

The implementation provides a standardized method for adding knowledge sources across different agent types, with validation to ensure all sources are instances of BaseKnowledgeSource.

Fixes #2385

Link to Devin run: https://app.devin.ai/sessions/fa8af4a6f74143a18cc6cd2318a18992

[devin-ai-integration]

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[joaomdmoura]

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

Code Review Comments for PR #2386

Overview

The implementation of the set_knowledge method in BaseAgent provides an essential capability for knowledge integration. The accompanying tests demonstrate thorough coverage and proper organization. While the implementation is fundamentally sound, there are several opportunities for improvements regarding type validation, error handling, and documentation.

Code Quality Findings

Positive Aspects

• Clear Method Documentation: The docstring for set_knowledge succinctly describes its purpose and parameters.
• Error Handling: Specific error messages and proper type checks reinforce robustness.
• Type Hints: Usage of type hints enhances readability and clarity on expected parameter types.
• Logical Organization: The flow of the knowledge setup process reflects careful consideration.

Areas for Improvement

1. Missing Type Hints Import

   • Ensure that necessary imports for typing are present to maintain code clarity.
   • Example:

   from typing import Optional, List, Dict, Any

2. Knowledge Source Type Validation:

   • There's room to improve validation by ensuring knowledge_sources is strictly a list of expected instances.
   • Example:

   if knowledge_sources is not None and not isinstance(knowledge_sources, list):
       raise TypeError("knowledge_sources must be a list or None")

3. Configuration Validation:

   • It's critical to validate the embedder configuration to prevent runtime errors.
   • Example:

   required_keys = ['provider']
   if not all(key in config for key in required_keys):
       raise ValueError(f"Embedder config must contain: {required_keys}")

4. Knowledge Name Generation:

   • Enhance the method for generating unique names for knowledge collections, which helps avoid naming conflicts.
   • Example:

   return f"{base_name}_{id(self)}"

Testing Insights

Positive Aspects

• Comprehensive Coverage: Unit tests cover diverse scenarios, which is essential for maintaining codebase integrity.
• Mocking: Proper mocking ensures that tests do not rely on external states or behaviors.

Areas for Improvement

1. Test Organization:

   • It would be beneficial to parameterize tests to avoid repetition and improve clarity.
   • Example:

   @pytest.mark.parametrize("knowledge_sources,expected_error", [
       (["invalid"], ValueError),
       (None, None),
       ([], None),
   ])

2. Mock Configuration Testing:

   • Create more robust tests that explicitly verify the behavior of the embedder configuration changes on the agent.
   • Example:

   with patch("crewai.agents.agent_builder.base_agent.Knowledge") as MockKnowledge:
       agent.set_knowledge(embedder_config=config)

Recommendations

• Enhance Error Handling: Introduce specific exception types related to knowledge operations for improved clarity on error sources.

  • Example:

  class KnowledgeConfigurationError(Exception):
      pass

• Documentation Improvements: Provide thorough explanations in docstrings regarding argument expectations and potential exceptions.

  • Example:

  """
  Args:
      knowledge_sources: List of sources.
      embedder_config: Configuration details required for embedding.
  Raises:
      KnowledgeConfigurationError: If invalid config provided.
  Example:
      agent.set_knowledge(knowledge_sources=[source], embedder_config=config)
  """

Historical Context

Reviewing past related pull requests that implemented knowledge management systems would provide insights into common pitfalls, improvements made over time, and developer sentiments on design choices. This context might inform better practices for this implementation.

Conclusion

This implementation is a significant step forward in the capabilities of the agent. By addressing the areas of improvement highlighted above, it would further enhance the software's reliability, maintainability, and developer experience. The detailed attention to the test suite also reflects a commitment to quality which should be continued in future developments.

Feel free to reach out for any further discussion on these points.