macsdk 0.1.1

Multi-Agent Chatbot SDK - Build customizable multi-agent chatbots with ease

MACSDK - Multi-Agent Chatbot SDK

A comprehensive SDK for building customizable multi-agent chatbots with RAG support, web interfaces, and reusable API tools.

Features

• 🏗️ Scaffolding CLI: Generate chatbot and agent projects with a single command
• 🤖 Intelligent Supervisor: Automatic routing and orchestration of specialist agents
• 📚 RAG Agent: Built-in retrieval-augmented generation for documentation queries
• 🌐 Web Interface: FastAPI + WebSocket server with real-time streaming
• 🔧 API Tools: Reusable tools for REST APIs with JSONPath extraction
• 🔄 Streaming: Real-time progress updates for CLI and web interfaces

Quick Start

Installation

pip install macsdk
# or with uv
uv add macsdk

Create a Chatbot

# Basic chatbot
macsdk new chatbot my-assistant --display-name "My Assistant"

# With RAG support for documentation queries
macsdk new chatbot my-assistant --with-rag

cd my-assistant
uv sync

Create an Agent

macsdk new agent infra-agent --description "Monitors infrastructure services"

Run Your Chatbot

# Show available commands
my-assistant

# Start CLI chat
my-assistant chat

# Start web interface
my-assistant web

# List registered agents
my-assistant agents

# Show configuration
my-assistant info

Run Your Agent (standalone)

# Show available commands
my-agent

# Start interactive chat
my-agent chat

# List tools
my-agent tools

Configuration

Environment Variables (.env)

GOOGLE_API_KEY=your_key_here

YAML Configuration (config.yml)

# LLM settings
llm_model: gemini-2.5-flash
llm_temperature: 0.3

# RAG sources (if --with-rag)
rag:
  enabled: true
  sources:
    - name: "My Docs"
      url: "https://docs.example.com/"
      tags: ["docs", "api"]

Examples

The examples/ directory contains working examples:

• api-agent: REST API interactions with JSONPlaceholder
• devops-chatbot: Multi-agent chatbot with RAG and API tools

Development

git clone https://github.com/juanje/macsdk
cd macsdk
uv sync

# Run tests
uv run pytest

# Type checking & linting
uv run mypy src/
uv run ruff check .

License

MIT

🤖 AI Tools Disclaimer

This project was developed with the assistance of artificial intelligence tools:

Tools used:

• Cursor: Code editor with AI capabilities
• Claude-4.5-Opus: Anthropic's language model

Division of responsibilities:

Human (Juanje Ojeda):

• 🎯 Specification of objectives and requirements
• 📋 Definition of project's architecture
• 🔍 Critical review of code and documentation
• ✅ Final validation of concepts and approaches

AI (Cursor + Claude-4.5-Opus):

• 🔧 Code prototyping and implementation
• 📝 Generation of examples and test cases
• 🐛 Debugging and error resolution
• 📚 Documentation writing

Collaboration philosophy: AI tools served as a highly capable technical assistant, while all design decisions and project directions were defined and validated by the human.