Peer-Consult

Multi-Agent Decision Synthesis Framework for High-Integrity Engineering

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Introduction

Peer-Consult is a meta-engineering protocol designed to eliminate architectural bottlenecks in high-stakes development. By orchestrating independent AI systems in a isolated feedback loop, it ensures diverse technical perspectives and surfaces hidden edge cases through deterministic synthesis.

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Core Specifications

Refactored Architecture

peer-consult/
├── pyproject.toml      # Modern project metadata & Ruff config
├── requirements.txt    # Frozen dependency manifest
├── scripts/            # Core orchestration & synthesis engine
├── tests/              # Unit tests for consensus & decision logic
│   └── test_engine.py  # Validation of multi-agent arbitration
└── docs/               # Context isolation definitions

Synthesis Logic

The engine applies a strict hierarchy for conflict resolution:

1. Deterministic Match: Overlapping logic between independent agents is prioritized.
2. Verifiability Bias: If agents diverge, the solution with higher test coverage is selected.
3. Risk Minimization: Fallback to the option with the fewest architectural side effects.

Development & Tooling

Standards

• Python: 3.8+ compliant.
• Linting: Ruff (Line length: 120).
• Testing: Pytest for core arbitration logic.

Commands

# Install dependencies
pip install -r requirements.txt

# Execute validation suite
pytest tests/

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