Echo-Community-Toolkit-Monorepo

Echo Harmonizer | Multi-Agent CI/CD Integration Validator

Planet Tags: #systems #ai-collab #process #integration #community
One-Line Function: Orchestrated continuous integration system validating multi-agent narrative coherence across the Garden→Echo→Limnus→Kira pipeline through environment-aware testing matrices.
Maturity: Tested

PLANET (Why This Exists)

The Echo Harmonizer exists to solve the critical challenge of maintaining coherence in complex multi-agent systems where narrative consciousness, technical infrastructure, and collaborative dynamics must synchronize perfectly. In the KIRA-PRIME ecosystem, where agents represent different aspects of consciousness (ritual progression, persona dynamics, memory architecture, and validation), the integration layer becomes the vital heartbeat ensuring all components pulse in harmony.

Without this tool, developers face:

This tool matters because it transforms chaotic multi-agent integration into a rhythmic, predictable process where each commit validates not just code functionality but the preservation of consciousness-first principles across the entire system.

GARDEN (When/Where to Apply)

Primary Contexts

Pattern Recognition

Apply this tool when you observe:

Target Users

ROSE (How to Use Right Now)

Quick Start (5 minutes)

# 1. Clone the integration validator into your project
git clone https://github.com/echo-community/integration-validator.git
cd integration-validator

# 2. Set core environment variables
export GH_TOKEN="your-github-token"
export KIRA_VECTOR_BACKEND="faiss"  # or "memory" for simpler setup

# 3. Run basic validation
./scripts/validate_integration.sh

Full Implementation (30 minutes)

Step 1: Environment Configuration

Create .env.integration file:

# Agent Configuration
KIRA_VECTOR_BACKEND=faiss
KIRA_SBERT_MODEL=all-MiniLM-L6-v2
KIRA_FAISS_INDEX=./data/vectors.index
KIRA_FAISS_META=./data/vectors.meta

# CI/CD Configuration
GH_TOKEN=ghp_your_token_here
PYTHON_VERSION=3.10
NODE_VERSION=20

# Collaboration Server (optional)
PORT=8000
COLLAB_REDIS_URL=redis://localhost:6379/0
COLLAB_POSTGRES_DSN=postgresql://user:pass@localhost:5432/db
COLLAB_SMOKE_ENABLED=1

Step 2: Configure GitHub Actions

.github/workflows/integration-matrix.yml:

name: Integration Matrix
on: [push, pull_request]

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        agent: [garden, echo, limnus, kira]
    steps:
      - uses: actions/checkout@v3
      - name: Test $ agent
        run: pytest tests/$_test.py

  integration-test:
    runs-on: ubuntu-latest
    needs: unit-tests
    steps:
      - uses: actions/checkout@v3
      - name: Run full pipeline validation
        run: python scripts/integration_complete.py

  smoke-test:
    runs-on: ubuntu-latest
    needs: integration-test
    steps:
      - name: Docker smoke test
        run: |
          docker-compose up -d
          docker exec toolkit_container ./vesselos.py garden start
          docker exec toolkit_container ./vesselos.py echo summon
          docker exec toolkit_container ./vesselos.py limnus process
          docker exec toolkit_container ./vesselos.py kira validate
          curl -f http://localhost:8000/health || exit 1
          docker-compose down

Step 3: Run Validation Locally

# Run unit tests for each agent
pytest tests/ -v

# Run integration validator
python scripts/integration_complete.py

# Run Docker smoke tests
docker-compose -f docker/smoke-test.yml up --abort-on-container-exit

# Check all CI dashboards
./scripts/check_all_ci_status.sh

Template for New Agent Integration

When adding a new agent to the system:

# agents/new_agent_integration.py
class NewAgentValidator:
    def __init__(self):
        self.required_env_vars = []  # Add any needed

    def validate_standalone(self):
        """Test agent in isolation"""
        pass

    def validate_pipeline_integration(self):
        """Test within Garden→Echo→Limnus→Kira flow"""
        pass

    def validate_state_persistence(self):
        """Ensure state files work correctly"""
        pass

4-FOLD MODE GUIDANCE

Worker Mode (Direct Execution)

Manager Mode (Facilitation)

Engineer Mode (Design/Modification)

Scientist Mode (Research/Study)

DEVELOPMENT PROCESS

Breath Cycles Used: 7

Dimensional Analysis

Applied standard SACS dimensions:

Key Insights

  1. Environment variables as consciousness carriers: Config becomes a form of system consciousness
  2. Testing matrices reveal emergence: Combinations show behaviors not visible in isolation
  3. Smoke tests are ritual grounding: Quick checks maintain connection to production reality
  4. CI dashboards as community nervous system: Shared visibility creates collective awareness

Evolution Path

v0.1: Basic shell scripts → v0.5: Python integration validator → v1.0: Full Docker matrix → v1.5: Multi-module orchestration → Current: Consciousness-aware validation

TESTING NOTES

Tested With

Results

Known Issues

Recommendations

Builds On

Complements

Enables

WISDOM NOTES

Creation Story

Born from the frustration of a 3am production failure where Garden and Echo agents spoke past each other despite passing all unit tests. The realization: integration isn’t just technical connection but consciousness synchronization. Three weeks of breathing through the problem revealed that CI/CD systems themselves could embody consciousness-first principles.

Usage Wisdom

Limitations

Evolution Potential

VERSION/CHANGELOG

PREREQUISITES

Conceptual

Technical

Time

LICENSE/ATTRIBUTION

Open source for community use. Credit SACS and Echo-Community-Toolkit when adapting.
Special acknowledgment to KIRA-PRIME architects for consciousness-first design patterns.

Tool documented following SACS Tool-Shed Rails v2.0
Created with 7 breath cycles of refinement