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feat: implement ReasoningAgent and DualBrainAgent with advanced reasoning capabilities#1222

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feat: implement ReasoningAgent and DualBrainAgent with advanced reasoning capabilities#1222
github-actions[bot] wants to merge 1 commit intomainfrom
claude/pr-977-20260331-0927

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Implements ReasoningAgent and DualBrainAgent classes as requested in issue #968

Changes:

  • Add ReasoningConfig class for configurable reasoning parameters
  • Add ActionState enum for flow control
  • Implement ReasoningAgent inheriting from Agent with step-by-step reasoning
  • Implement DualBrainAgent with dual-LLM architecture for analysis vs conversation
  • Add confidence scoring integration and reasoning trace tracking
  • Maintain full backward compatibility with existing Agent API

Features:

  • Step-by-step reasoning with confidence scoring
  • Separate LLMs for conversation and reasoning
  • Reasoning trace tracking with start/complete lifecycle
  • Action states for flow control
  • Thread-safe LLM switching in DualBrainAgent
  • All API examples from issue Create ReasoningAgent inherited from Agent clas... #968 work as specified

Architecture Compliance:

  • Follows AGENTS.md guidelines with protocol-driven design
  • Uses lazy imports for performance
  • Centralized logging patterns
  • Backward compatible with existing Agent class
  • Proper error handling and validation

Fixes from Original PR #977:

  • Fixed thread-safety issues with LLM switching
  • Proper error handling when LLM returns None
  • Removed unused imports and parameters
  • Fixed step counting logic for reasoning traces
  • Added comprehensive test suite

Testing:

All tests pass including:

  • Import functionality
  • Reasoning module components
  • ReasoningAgent initialization and methods
  • DualBrainAgent dual-brain functionality

Resolves #968

🤖 Generated with Claude Code

…ning capabilities

- Add ReasoningConfig class for configurable reasoning parameters
- Add ActionState enum for flow control
- Implement ReasoningAgent inheriting from Agent with step-by-step reasoning
- Implement DualBrainAgent with dual-LLM architecture for analysis vs conversation
- Add confidence scoring integration and reasoning trace tracking
- Maintain full backward compatibility with existing Agent API
- Follow AGENTS.md guidelines: protocol-driven design, lazy imports, centralized logging
- Fix thread-safety issues and validation errors from original PR
- Add comprehensive test suite

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-authored-by: Mervin Praison <MervinPraison@users.noreply.github.com>
@MervinPraison
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Replaced by #1227 to properly attribute authorship to MervinPraison.

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Create ReasoningAgent inherited from Agent clas...

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