shedboxai 1.1.1

A lightweight framework for building AI-powered applications through configuration

ShedBoxAI

A powerful, enterprise-grade framework for building sophisticated AI-powered applications through pure configuration. No coding required!

Overview

ShedBoxAI transforms complex data processing and AI workflows into simple YAML configurations. Build data analysis pipelines, AI-powered content generation, and business automation workflows without writing code.

Key Features:

• 🔧 Configuration-First: Define complex workflows in simple YAML
• 🤖 AI Integration: Built-in support for LLMs with batch processing
• 📊 Data Processing: 80+ built-in functions across 6 operation types
• 🔐 Enterprise Ready: Authentication, error handling, and retry logic
• ⚡ High Performance: Parallel execution and dependency-aware workflows

Quick Start

1. Install ShedBoxAI

   pip install shedboxai
   

2. Create a configuration file (config.yaml)

   data_sources:
     users:
       type: csv
       path: "users.csv"
   
   processing:
     contextual_filtering:
       users:
       - field: age
         condition: '> 25'
         new_name: adult_users
   

3. Run your workflow

   shedboxai run config.yaml
   

Documentation

📖 Full Documentation - Complete guides, API reference, and examples

• Getting Started
• Configuration Guide
• Operations Reference
• Examples
• CLI Reference

Data Introspection

Analyze your data sources automatically:

# Generate comprehensive data documentation
shedboxai introspect sources.yaml

# Include sample data in the analysis
shedboxai introspect sources.yaml --include-samples

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

ShedBoxAI is released under the MIT License. See LICENSE for details.

Support

• Documentation
• Issue Tracker
• Discussions