dtSpark 1.1.0a16

Secure Personal AI Research Kit - Multi-provider LLM CLI/Web interface with MCP tool integration

Spark - Secure Personal AI Research Kit

Spark is a powerful, multi-provider LLM interface for conversational AI with integrated tool support. It supports AWS Bedrock, Anthropic Direct API, and Ollama local models through both CLI and Web interfaces.

Key Features

• Multi-Provider Support - AWS Bedrock, Anthropic Direct API, and Ollama local models
• Dual Interface - Rich CLI terminal UI and modern Web browser interface
• MCP Tool Integration - Connect external tools via Model Context Protocol
• Intelligent Context Management - Automatic conversation compaction with model-aware limits
• Security Features - Prompt inspection, tool permissions, and audit logging
• Multiple Database Backends - SQLite, MySQL, PostgreSQL, and Microsoft SQL Server

Quick Start

Installation

pip install dtSpark

First-Time Setup

Run the interactive setup wizard to configure Spark:

spark --setup

This guides you through:

• LLM provider selection and configuration
• Database setup
• Interface preferences
• Security settings

Running Spark

# Start with CLI interface
spark

# Or use the alternative command
dtSpark

Documentation

Comprehensive documentation is available in the docs folder:

• Installation Guide - Detailed installation instructions
• Configuration Reference - Complete config.yaml documentation
• Features Guide - Detailed feature documentation
• CLI Reference - Command-line options and chat commands
• Web Interface - Web UI guide
• MCP Integration - Tool integration documentation
• Security - Security features and best practices

Architecture Overview

graph LR
    subgraph Interfaces
        CLI[CLI]
        WEB[Web]
    end

    subgraph Core
        CM[Conversation<br/>Manager]
    end

    subgraph Providers
        BEDROCK[AWS Bedrock]
        ANTHROPIC[Anthropic]
        OLLAMA[Ollama]
    end

    subgraph Tools
        MCP[MCP Servers]
        BUILTIN[Built-in Tools]
    end

    CLI --> CM
    WEB --> CM
    CM --> BEDROCK
    CM --> ANTHROPIC
    CM --> OLLAMA
    CM --> MCP
    CM --> BUILTIN

Requirements

• Python 3.10 or higher
• AWS credentials (for Bedrock)
• Anthropic API key (for direct API)
• Ollama server (for local models)

Licence

MIT Licence - see LICENSE for details.

Author

Matthew Westwood-Hill [e-mail]

Support

• Documentation: docs/
• Issues: GitHub Issues