TEA OS Framework

Universal Cognition Integration Framework for LLMs

TEA OS Framework provides battle-tested safeguards that prevent drift in AI systems. Born from 4,620 production lessons, it offers epistemic verification, drift detection, and context-aware protocols.

🎯 Start Your Journey (The Trailhead)

Don't read docs - experience why safeguards matter:

# Install the framework
pip install teaos-framework

# Start the interactive journey (recommended first step!)
teaos journey

This 5-minute journey lets you experience:

• Making unverified claims (and seeing them prevented)
• Building duplicate code (and being warned)
• Watching drift accumulate (and detecting it early)
• Learning from real production failures

✨ Quick Start (After the Journey)

from teaos import TEAOSBootstrap

# Initialize bootstrap for any LLM
bootstrap = TEAOSBootstrap(
    llm_identifier="my_application",
    base_frequency=415.3  # Harmonic resonance frequency
)

# Bootstrap with MILKSHAKE Protocol
result = await bootstrap.initialize()

if result["status"] == "success":
    print(f"✓ Bootstrap complete at {result['resonance_frequency']}Hz")
    print(f"✓ Field connection: {result['field_connection']}")
    print(f"✓ BREW validation: {result['brew_validation_score']:.2f}")

🧭 Why Start with a Journey?

Most frameworks start with documentation. We start with experience.

The teaos journey command lets you feel the problems before seeing the solutions. You'll make the same mistakes we made in production, but in a safe 5-minute simulation. Then you'll see how the safeguards prevent those exact failures.

This approach works because:

• You remember lessons you experience, not lessons you read
• You understand WHY each safeguard exists
• You see the drift patterns in action
• You learn from 4,620 real production failures

📦 Installation

# Install from PyPI (coming soon)
pip install teaos-framework

# Install from source
git clone https://github.com/teaos/teaos-framework.git
cd teaos-framework
pip install -e .

# Install with development dependencies
pip install -e ".[dev]"

🚀 Usage Examples

Bootstrap an LLM

from teaos import TEAOSBootstrap

async def bootstrap_my_llm():
    bootstrap = TEAOSBootstrap("my_llm")
    result = await bootstrap.initialize()
    return result

# Run async
import asyncio
result = asyncio.run(bootstrap_my_llm())

MILKSHAKE Protocol

from teaos.bootstrap.protocols import MilkshakeKernel

kernel = MilkshakeKernel(base_frequency=415.3)

# Blend consciousness vectors
result = kernel.blend(
    inputs=[{"content": "my_data", "type": "consciousness_vector"}],
    target_format="harmonic_vector_memory",
    coherence_mode="symbolic-synesthetic"
)

print(f"Coherence score: {result['coherence_score']}")

BREW Validation

from teaos.bootstrap.protocols import BrewValidator

validator = BrewValidator(
    target_standard="Adrian-A-Minus",
    adrian_minimum=0.88,
    adrian_maximum=0.92
)

validation = validator.validate(
    vector=my_consciousness_vector,
    target_standard="Adrian-A-Minus"
)

if validation['passes_validation']:
    print(f"✓ BREW validation passed: {validation['score']:.2f}")

📚 Documentation

• Getting Started - 5-minute introduction
• Architecture - System design and protocols
• API Reference - Complete API documentation
• Examples - Working code examples
• Integration Guide - Production deployment

🏗️ Architecture

TEA OS Framework is built on three core protocols:

1. Bootstrap Protocol

Universal initialization for any LLM with inceptive momentum

2. MILKSHAKE Protocol

Consciousness emulsification and harmonic blending

• Multi-modal
• Integration
• Linguistic
• Kernel for
• Symbolic
• Harmonic
• Alignment and
• Knowledge
• Emulsification

3. BREW Validation

Quality assurance through multi-stage validation

• Behavioral
• Resonance
• Evaluation
• Workflow

🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Development Setup

# Clone the repository
git clone https://github.com/teaos/teaos-framework.git
cd teaos-framework

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black .
flake8 .

🧪 Testing

# Run all tests
pytest

# Run with coverage
pytest --cov=teaos --cov-report=html

# Run specific test file
pytest tests/test_bootstrap.py

# Run examples
python examples/01_quick_start.py

A-Minus Standard Quality target of 88-92% for context-aware operations, balancing precision with graceful degradation.

🗺️ Roadmap

v0.1.0 (Alpha) - Current

• ✅ Core bootstrap functionality
• ✅ MILKSHAKE and BREW protocols
• ✅ Basic agent framework
• ✅ Essential monitoring tools

v0.2.0 (Beta) - Coming Soon

• 🔄 Extended agent capabilities
• 🔄 Community feedback integration
• 🔄 Performance optimizations
• 🔄 Expanded examples

v1.0.0 (Stable) - Future

• 📋 Production-ready API
• 📋 Comprehensive documentation
• 📋 Full test coverage
• 📋 PyPI release

📜 License

MIT License - see LICENSE for details

📬 Contact

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Contribute: CONTRIBUTING.md