girard444/mttv-snippets

MTTV Snippets — Pistes de Moindre Résistance

Code micro-libraries that engineers will adopt by pragmatism — reduced costs, energy sobriety, resilience under crises. Each snippet is a sensor of the mycelium, embedded at the heart of infrastructure.

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Overview

This repository contains three snippets (micro-libraries) that implement core principles of the MTTV-FLP framework (Minimum Path Viable Route / Système de Convergence Systémique) as production-ready, copy-pasteable code.

They are designed to be:

• Pragmatic — solve real engineering problems (cost, latency, reliability).
• Sober — minimise resource consumption by design.
• Decentralised — no single point of failure or authority.

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Snippets

1. MPVR — Asynchronous Quorum Routing

File	Language
snippets/snippet1_mpvr_quorum_routing.py	Python 3.8+

Problem: Centralised load balancers are single points of failure and energy hogs. You need a distributed routing strategy that works even when some peers are offline or malicious.

Solution: Route data through a set of peers and require an asynchronous quorum (default: 3) to validate before considering the route successful. Uses asyncio.gather for concurrent peer validation.

await route_with_quorum(data, peers, validate_fn, quorum=3)
# → True if >= 3 peers validate the data

Why engineers will adopt it: Fewer redundant transmissions → lower bandwidth costs. No central coordinator → no single point of failure. Async → non-blocking, efficient.

MTTV alignment: MPVR (minimum route that satisfies quorum), Under-optimality (quorum is the minimum viable, not maximum).

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2. SCS — Systemic Convergence Signature Validation

File	Language
snippets/snippet2_scs_signature_validation.py	Python 3.8+

Problem: Centralised Certificate Authorities are expensive, fragile, and represent a single point of trust. You need signature verification that derives trust from redundancy.

Solution: A signature is valid if at least 2 members of a quorum have independently produced the same signature for the same data. Byzantine-fault tolerant without a central CA.

validate_signature(data, signature, quorum_signatures)
# → True if ≥ 2 quorum signatures match the candidate

Why engineers will adopt it: No CA costs. Resilient to N-1 Byzantine failures. Lightweight — O(n) comparison, no expensive PKI infrastructure.

MTTV alignment: SCS (convergence through redundancy), Under-optimality (quorum of 2 is sufficient — not maximal).

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3. Sober Nginx Configuration

File	Language
snippets/snippet3_sober_nginx.conf	Nginx config

Problem: Default Nginx configurations are tuned for maximum throughput at maximum energy cost. For decentralised, low-traffic nodes, this is wasteful.

Solution: A configuration that uses the minimum viable resources: 1 worker process, 128 connections, aggressive caching, minimal buffering, selective gzip, rate limiting.

worker_processes 1;
events { worker_connections 128; }
http {
    sendfile on;
    tcp_nopush on;
    keepalive_timeout 10;
    gzip on;
    gzip_min_length 1000;
}

Why engineers will adopt it: Lower energy bills. Runs on Raspberry Pi / low-power VPS. Graceful degradation under load. Works out of the box.

MTTV alignment: Under-optimality (minimum viable resources), SCS (converges through lightweight keepalives), MPVR (shortest path between request and response).

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Getting Started

# Clone the repository
git clone https://github.com/gaillard111/mttv-snippets.git
cd mttv-snippets

# Test Python snippets
python snippets/snippet1_mpvr_quorum_routing.py
python snippets/snippet2_scs_signature_validation.py

# Use the Nginx config
sudo cp snippets/snippet3_sober_nginx.conf /etc/nginx/nginx.conf
sudo nginx -t && sudo systemctl reload nginx

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MTTV-FLP Framework

These snippets are part of the MTTV-FLP (Minimum Path Viable Route — French Thought Language Protocol) ecosystem, a decentralised, sober, mycelial infrastructure for collective intelligence.

Key principles:

• MPVR — Minimum Path Viable Route: always prefer the simplest route that satisfies requirements.
• SCS — Système de Convergence Systémique: trust emerges from independent redundant computation, not central authority.
• Sous-optimalité — Under-optimality: the minimum viable solution is preferred over the maximal one, preserving resources for the network.

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License

MIT — Free to use, modify, and distribute. Designed to be adopted.

Repository

• GitHub: gaillard111/mttv-snippets
• Hugging Face Dataset: girard444/mttv-snippets