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QuantumDrive platform and SDK

Project description

QuantumDrive

AI-powered assistant and data management platform built on AgentForge.

Overview

QuantumDrive is an AlphaSix IP product that provides:

  • Q Assistant: Conversational AI with memory and tool access
  • Microsoft 365 Integration: SSO and Graph API access
  • Vector Storage: Semantic search with ChromaDB
  • AgentForge Integration: Leverages Syntheticore's AgentForge library

Quick Start

Standalone Usage

  1. Install dependencies:

    pip install -r requirements.txt
    
  2. Create configuration (choose one):

    Option A: Project root (for development):

    cp resources/default_quantumdrive.toml quantumdrive.toml
    

    Option B: User config directory (for production):

    mkdir -p ~/.config/quantumdrive
    cp resources/default_quantumdrive.toml ~/.config/quantumdrive/quantumdrive.toml
    
  3. Set environment variables:

    export AF_OPENAI_API_KEY="sk-..."
    export QD_MS_TENANT_ID="..."
    export QD_MS_CLIENT_ID="..."
    export QD_MS_CLIENT_SECRET="..."
    
  4. Run example:

    python examples/standalone_usage.py
    

Library Usage (from Quantify)

from quantumdrive.core.utils.qd_config import QDConfig
from quantumdrive.core.ai.q_assistant import QAssistant

# Load config from host application
config = QDConfig.from_dict(secrets_dict)

# Initialize assistant
assistant = QAssistant(config=config)

# Ask questions
response = assistant.answer_question(
    "What is Python?",
    user_id="user123",
    thread_id="thread456",
    org_id="org789"
)

Configuration

QuantumDrive uses a flexible configuration system supporting:

  • TOML files: For non-sensitive defaults
  • Environment variables: For secrets and overrides
  • Dependency injection: For library usage

See Configuration Guide for complete documentation.

Required Configuration

QuantumDrive (QD_ prefix)*:

  • QD_MS_TENANT_ID - Microsoft Entra ID tenant
  • QD_MS_CLIENT_ID - Application client ID
  • QD_MS_CLIENT_SECRET - Application secret
  • QD_MS_REDIRECT_URI - OAuth callback URL

AgentForge (AF_ prefix)*:

  • AF_OPENAI_API_KEY - OpenAI API key
  • AF_LLM_PROVIDER - LLM provider (openai, ollama, xai)
  • AF_OPENAI_MODEL - Model name (gpt-5.1, gpt-5.1-codex, etc.)

Architecture

┌─────────────────────────────────────────┐
│         Quantify (AlphaSix IP)          │
│  - Web application                      │
│  - Secrets management                   │
│  - User interface                       │
└──────────────┬──────────────────────────┘
               │ config dict
               ↓
┌─────────────────────────────────────────┐
│      QuantumDrive (AlphaSix IP)         │
│  - Q Assistant                          │
│  - Microsoft 365 integration            │
│  - Vector storage                       │
│  - Configuration bridge                 │
└──────────────┬──────────────────────────┘
               │ AF_* config
               ↓
┌─────────────────────────────────────────┐
│     AgentForge (Syntheticore IP)        │
│  - LLM orchestration                    │
│  - Tool registry                        │
│  - Memory management                    │
│  - Vector stores                        │
└─────────────────────────────────────────┘

Components

Q Assistant (core/ai/q_assistant.py)

Conversational AI assistant with:

  • Multi-turn conversations with memory
  • Tool access (search, calculations, APIs)
  • Identity-scoped memory (user, thread, org)
  • Crew-based multi-agent workflows

Microsoft 365 Provider (core/auth/microsoft_365_provider.py)

OAuth2 authentication and Graph API access:

  • SSO with Microsoft Entra ID
  • Token caching and refresh
  • User profile retrieval
  • Graph API requests

Configuration (core/utils/qd_config.py)

Flexible configuration management:

  • TOML file loading
  • Environment variable overrides
  • Dependency injection support
  • AgentForge config extraction

Development

Project Structure

quantumdrive/
├── core/
│   ├── ai/              # Q Assistant and agent configuration
│   ├── auth/            # Microsoft 365 authentication
│   ├── aws/             # AWS Secrets Manager integration
│   ├── ingest/          # Document processing
│   ├── user/            # User profiles
│   └── utils/           # Configuration and utilities
├── docs/                # Documentation
├── examples/            # Usage examples
├── resources/           # Default configuration files
├── tests/               # Test suite
└── webapp/              # Flask web application

Running Tests

pytest tests/

Code Style

# Format code
black core/ tests/

# Lint
flake8 core/ tests/

# Type check
mypy core/

Documentation

Security

Never commit secrets to version control!

  • Use environment variables for API keys and credentials
  • Use secrets managers (AWS Secrets Manager, Azure Key Vault) in production
  • Add .env files to .gitignore
  • Rotate exposed credentials immediately

See Configuration Guide for details.

License

Proprietary - AlphaSix IP

Support

For issues or questions, contact the AlphaSix development team.

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