[Phase 2] Advanced Multi-Agent Workflow Engine

[mfittko]

🚀 Advanced Multi-Agent Workflow Engine (Phase 2)

Component: Advanced Orchestration | Scope: Full workflow capabilities
Timeline: After Phase 1 completion

🎯 Objective

Implement comprehensive multi-agent workflow orchestration with handoffs, parallel execution, and advanced patterns.

📋 Advanced Features (Moved from Phase 1)

2.1 Advanced Adapter Pattern

• 2.1.1 Full IAgentRuntime interface for multiple providers

  • Support for different AI providers (OpenAI, Anthropic, local)
  • Runtime switching and load balancing
  • Advanced capability detection
  • Provider-specific optimizations

• 2.1.2 Comprehensive agent lifecycle management

  • Agent pools and resource management
  • State persistence and recovery
  • Agent health monitoring
  • Dynamic scaling and allocation

2.2 Multi-Agent Workflow Engine

• 2.2.1 Advanced WorkflowEngine with multiple patterns

  • Handoff chains (sequential agent execution)
  • Parallel agent execution
  • Conditional routing and decision trees
  • Dynamic workflow generation

• 2.2.2 Agent handoff and coordination

  • Agent-to-agent handoff implementation
  • Context preservation and transformation
  • Handoff condition evaluation
  • Conflict resolution and fallback strategies

• 2.2.3 Workflow state management

  • Persistent workflow state tracking
  • Checkpoints and resume functionality
  • Rollback and recovery mechanisms
  • Workflow debugging and inspection

2.3 Advanced Tool Integration

• 2.3.1 Complex tool orchestration

  • Tool dependency management
  • Parallel tool execution
  • Tool result caching and optimization
  • Custom tool development framework

• 2.3.2 Advanced security and sandboxing

  • Per-agent security policies
  • Dynamic permission management
  • Advanced resource monitoring
  • Compliance and audit features

2.4 Performance and Scalability

• 2.4.1 Concurrent workflow handling

  • Multiple simultaneous workflows
  • Resource contention management
  • Load balancing and optimization
  • Performance monitoring and metrics

• 2.4.2 Advanced caching and optimization

  • Agent response caching
  • Tool result memoization
  • Workflow optimization patterns
  • Performance profiling and analysis

✅ Definition of Done

• Multi-agent handoff workflows work correctly
• Parallel agent execution supported
• Complex workflow patterns (conditional, loops)
• Advanced tool orchestration
• Workflow state persistence and recovery
• Performance requirements for production use

🔗 Dependencies

• Requires: Complete Phase 1 foundation
• Builds on: Basic SDK integration ([Phase 1.6] Basic OpenAI SDK Integration (Days 9-11) #10)

📚 References

• Advanced Agent Patterns
• Workflow Orchestration Best Practices

Note: This represents the full vision for the workflow engine, built on the Phase 1 foundation.