Fix incomplete final answers in hierarchical process mode

[devin-ai-integration]

Fix Hierarchical Process Mode Incomplete Final Answers

Issue

When using hierarchical process mode with GPT-4o, the final answer is incomplete. It only shows the manager agent's delegation thought, not the actual result from the delegated agent.

Solution

Set result_as_answer=True in the DelegateWorkTool class to ensure that the delegated agent's result is used as the final answer instead of the manager agent's delegation thought.

Testing

Added a test that verifies the delegated agent's result is properly captured as the final answer in hierarchical process mode.

Fixes #2768

Link to Devin run: https://app.devin.ai/sessions/3e2f5f52a0494993b6244810e16a75d9
Requested by: Joe Moura ([email protected])

[devin-ai-integration]

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[joaomdmoura]

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

Code Review Comment for PR #2769

Overview

This pull request aims to resolve an issue regarding incomplete final answers in hierarchical process mode by introducing the result_as_answer=True parameter in the DelegateWorkTool class. This change is essential for enhancing the functionality of the tool.

Code Quality Findings

Changes in delegate_work_tool.py

• Code Addition: The addition of result_as_answer: bool = True is minimal yet significantly addresses the identified issue.
• Type Hinting and Structure: The change adheres to Python's type hinting conventions and maintains the integrity of the class structure. This is commendable.

Suggested Improvement:

• Documentation: It is critical to document the new attribute to clarify its purpose. An enhanced docstring for the class could look like this:

  class DelegateWorkTool(BaseAgentTool):
      """Tool for delegating work to other agents in the crew.
      
      Attributes:
          result_as_answer (bool): When True, returns the delegated agent's result
              as the final answer instead of metadata about delegation.
      """
      result_as_answer: bool = True

Changes in test_hierarchical_issue_fix.py

• Testing Quality: The tests are well-structured and demonstrate clear intent regarding their objectives. The usage of pytest fixtures is properly implemented.

Areas for Improvement:

1. Enhanced Documentation: The test-docstrings should outline the specific validation criteria. For example:

   @pytest.mark.vcr(filter_headers=["authorization"])
   def test_hierarchical_process_delegation_result():
       """Tests hierarchical process delegation result handling.
       
       Ensures that:
       1. The output is derived from the delegated agent's actual work.
       2. The response does not contain delegation-related metadata.
       3. The content meets minimum length requirements.
       4. Expected topic-related keywords are present in the output.
       """

2. Robust Assertions: Additional content validity assertions would reinforce the tests. Example assertion for content structure could include:

   assert result.raw.count('\n') >= 6  # At least 3 ideas with paragraphs

3. Test Data Management: Creating fixtures for common agent configurations can streamline the test setup:

   @pytest.fixture
   def research_agent():
       return Agent(role="Researcher", goal="...")
   
   @pytest.fixture
   def writer_agent():
       return Agent(role="Senior Writer", goal="...")

General Recommendations

• Version Documentation: Include a CHANGELOG.md entry for this fix to maintain a clear history of changes.
• Error Handling: Implement error handling for scenarios where delegation fails, along with logging mechanisms for outcomes.
• Testing Coverage: Aim for additional edge case tests to confirm the resilience of the solution against delegation failures and ensure thorough testing across different agent configurations.

Impact Assessment

The modifications made by this PR are critical in ensuring that the hierarchical process returns actual work results rather than mere delegation indicators. Comprehensive testing also provides a safeguard against future regressions, making it a solid change to the codebase.

Security Considerations

• Overall, there are no identified security vulnerabilities. The use of proper header filtering and no exposed credentials show good security practices.

Conclusion

The pull request is well-structured and exhibits significant functionality improvements alongside appropriate test coverage. The suggested enhancements focus on documentation and robustness of tests but are not blocking issues. I recommend approval with minor documentation updates to enhance clarity and maintainability.

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[devin-ai-integration]

Closing due to inactivity for more than 7 days.