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Deep Agents Evaluation - Assess feasibility of control flow enhancements and create implementation plan #253

@jeremymanning

Description

@jeremymanning

Task 003: Deep Agents Evaluation

Objective

Assess the feasibility of enhancing orchestrator control flow capabilities using LangChain Deep Agents through isolated proof-of-concept development and comprehensive evaluation.

Scope

Create isolated proof-of-concept for LangChain Deep Agents integration and evaluate potential control flow enhancements.

Key Requirements

Primary Goals

  • Create isolated proof-of-concept implementation
  • Evaluate control flow enhancement opportunities
  • Assess production readiness and integration complexity
  • Develop comprehensive implementation plan

Technical Specifications

  • Approach: Isolated proof-of-concept (separate from main codebase)
  • Framework: LangChain Deep Agents
  • Focus: Control flow enhancements and agent-based orchestration
  • Evaluation: Performance, complexity, maintenance, and integration assessment

Deliverables

  1. Isolated proof-of-concept implementation
  2. Comprehensive feasibility assessment report
  3. Performance benchmarks and comparison analysis
  4. Integration complexity assessment
  5. Production readiness evaluation
  6. Implementation plan with timeline and resource requirements

Implementation Notes

  • Build proof-of-concept in separate directory/environment
  • Test with realistic orchestrator scenarios
  • Compare against existing control flow mechanisms
  • Assess learning curve and maintenance requirements
  • Evaluate impact on existing pipeline architecture

Success Criteria

  • Proof-of-concept successfully implemented
  • Comprehensive feasibility assessment completed
  • Performance benchmarks available
  • Integration complexity documented
  • Clear go/no-go recommendation provided
  • Implementation plan ready (if recommended)

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