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📝 Implement echo functions and unified interface integration for echo_evolution.py fragment#486

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📝 Implement echo functions and unified interface integration for echo_evolution.py fragment#486
Copilot wants to merge 3 commits intomainfrom
copilot/fix-30

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Copilot AI commented Sep 13, 2025

This PR addresses the fragment analysis issue for echo_evolution.py by implementing the missing echo functions and integrating the module with the unified Deep Tree Echo architecture.

Problem Statement

The fragment analysis identified that echo_evolution.py (554 lines) contained an EchoAgent class but was missing the required echo functions needed for Deep Tree Echo integration. The module needed to be integrated with the unified ProcessingEchoComponent interface while maintaining backward compatibility.

Implementation

Added Missing Echo Functions

EchoAgent.echo(): Implements agent-specific echo processing with domain resonance calculation

agent = EchoAgent("CognitiveAgent", "Cognitive Architecture", initial_state=0.7)
echo_result = agent.echo("How does cognitive architecture influence memory?", echo_value=0.8)
print(f"Resonance: {echo_result['resonance']:.3f}")  # Domain-specific resonance
print(f"Domain Expertise: {echo_result['echo_metadata']['domain_expertise']:.3f}")

EvolutionNetwork.echo(): Provides network-wide echo aggregation across all agents

network = EvolutionNetwork(config)
echo_result = network.echo("Complex cognitive query", echo_value=0.9)
print(f"Network Resonance: {echo_result.data['network_resonance']:.3f}")
print(f"Agent Responses: {len(echo_result.data['agent_echoes'])}")

Unified Interface Integration

Modified EvolutionNetwork to inherit from ProcessingEchoComponent and implement the required methods:

  • initialize(): Sets up processing pipeline and resource monitoring
  • process(): Handles evolution data through unified pipeline
  • echo(): Aggregates agent echoes with network-level analysis

Added factory function for easy instantiation:

network = create_echo_evolution_system(config=None, agent_domains=custom_domains)

Key Features

  • Domain-specific resonance calculation: Uses keyword matching and agent state for intelligent echo processing
  • Backward compatibility: Existing code continues to work without changes
  • Processing pipeline integration: Supports the unified architecture's pipeline pattern
  • Network-level aggregation: Combines individual agent echoes into coherent network responses

Validation

  • ✅ 4/4 integration tests passing
  • ✅ Comprehensive examples demonstrating all usage patterns
  • ✅ Backward compatibility verified for existing evolution functionality
  • ✅ Syntax validation confirms clean implementation

The module now fully integrates with the Deep Tree Echo architecture while preserving all existing self-evolution capabilities.

Fixes #30.


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Copilot AI and others added 2 commits September 13, 2025 17:29
…volution.py

Co-authored-by: dtecho <187844575+dtecho@users.noreply.github.com>
…hensive examples and documentation

Co-authored-by: dtecho <187844575+dtecho@users.noreply.github.com>
Copilot AI changed the title [WIP] 📝 Fragment Analysis: echo_evolution.py 📝 Implement echo functions and unified interface integration for echo_evolution.py fragment Sep 13, 2025
Copilot AI requested a review from dtecho September 13, 2025 17:31
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📝 Fragment Analysis: echo_evolution.py

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