tractatus/demos/agent-lightning-integration
TheFlow 2a727a80b8 feat: Complete Phase 2 Agent Lightning website integration
- Added Agent Lightning research section to researcher.html with Demo 2 results
- Created comprehensive /integrations/agent-lightning.html page
- Added Agent Lightning link in homepage hero section
- Updated Discord invite links (Tractatus + semantipy) across all pages
- Added feedback.js script to all key pages for live demonstration

Phase 2 of Master Plan complete: Discord setup → Website completion

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-03 14:38:20 +13:00
..
demo1-basic-optimization feat: Complete Phase 2 Agent Lightning website integration 2025-11-03 14:38:20 +13:00
demo2-governed-agent feat: Complete Phase 2 Agent Lightning website integration 2025-11-03 14:38:20 +13:00
demo3-full-stack feat: Complete Phase 2 Agent Lightning website integration 2025-11-03 14:38:20 +13:00
README.md feat: Complete Phase 2 Agent Lightning website integration 2025-11-03 14:38:20 +13:00

Agent Lightning + Tractatus Integration Demos

This directory contains demonstrations of how Microsoft's Agent Lightning framework can be integrated with the Tractatus governance framework to create high-performing, values-aligned AI systems.

Core Thesis

Agent Lightning and Tractatus address fundamentally different problems:

  • Agent Lightning: "How to do this task better?" (Performance optimization through RL)
  • Tractatus: "Should this decision be made at all?" (Governance and values alignment)

Together, they create AI systems that are both:

  • High-performing (optimized by AL)
  • Values-aligned (governed by Tractatus)

Demo Progression

Demo 1: Basic Optimization (AL Standalone)

Purpose: Show Agent Lightning optimization without governance Key Learning: AL excels at performance optimization Files: demo1-basic-optimization/

Demo 2: Governed Agent (AL + Tractatus)

Purpose: Show Tractatus governing AL-optimized agents Key Learning: Governance layer prevents values-misaligned decisions Files: demo2-governed-agent/ This is the killer demo - shows complementarity

Demo 3: Full-Stack Production (Enterprise-Ready)

Purpose: Production-ready AI system with full observability Key Learning: Real-world deployment architecture Files: demo3-full-stack/

Architecture

┌──────────────────────────────────────────────────────────┐
│ QUESTION: Should this decision be made at all?           │
│ FRAMEWORK: Tractatus (Governance Layer)                  │
│ FOCUS: Values alignment, human agency, pluralism         │
│ ✓ BoundaryEnforcer - blocks values decisions             │
│ ✓ PluralisticDeliberator - multi-stakeholder input       │
│ ✓ CrossReferenceValidator - instruction adherence        │
└──────────────────────────────────────────────────────────┘
                           ↓
                     [Approved Task]
                           ↓
┌──────────────────────────────────────────────────────────┐
│ QUESTION: How to do this task better?                    │
│ FRAMEWORK: Agent Lightning (Performance Layer)           │
│ FOCUS: Task success, efficiency, optimization            │
│ ✓ RL-based optimization                                  │
│ ✓ Training-agent disaggregation                          │
│ ✓ Framework-agnostic integration                         │
└──────────────────────────────────────────────────────────┘
                           ↓
                    [Optimized Execution]

Prerequisites

Agent Lightning

cd ~/projects/agent-lightning
source venv/bin/activate
pip install -e .

Tractatus

cd ~/projects/tractatus
npm install

Python Dependencies (Each Demo)

cd demo1-basic-optimization/
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Running Demos

Demo 1: Basic Optimization

cd demo1-basic-optimization/
source venv/bin/activate
python task_optimizer.py

Demo 2: Governed Agent

cd demo2-governed-agent/
source venv/bin/activate
python governed_agent.py

Demo 3: Full-Stack

cd demo3-full-stack/
source venv/bin/activate
python main.py

Use Cases

These demos support three strategic channels:

Channel A: Discord Community

  • Share governed agent demo in AL Discord
  • Show how Tractatus complements AL
  • Propose governance as a contributed feature

Channel B: Academic Publication

  • Paper: "Complementary Layers in AI Systems: Governance + Performance"
  • Use demos as empirical evidence
  • Target: NeurIPS workshop, IEEE, AAAI

Channel C: Public Demonstrations

  • Interactive demos at agenticgovernance.digital
  • Show live governance intervention
  • Educational content for AI safety community

Documentation

  • Integration Guide: ~/projects/tractatus/docs/integrations/agent-lightning.md
  • API Reference: ~/projects/tractatus/docs/api/
  • Research Papers: ~/projects/tractatus/research/papers/

Contact

  • Project: Tractatus Framework
  • Author: John Stroh
  • Website: https://agenticgovernance.digital
  • Purpose: Preserve human agency over values decisions with plural values context

License

  • Agent Lightning: MIT License (Microsoft)
  • Tractatus: Apache License 2.0
  • Demos: Apache License 2.0

Last Updated: November 2, 2025 Agent Lightning Version: 0.2.2 Tractatus Version: v3.0.2