nijika 1.0.0

A dynamic, industry-agnostic AI agent framework for seamless multi-provider integration

Nijika AI Agent Framework

A dynamic, industry-agnostic AI agent framework designed for seamless integration across multiple AI providers and models.

🚀 Overview

Nijika is a comprehensive Python-based AI agent framework that provides:

• Multi-Provider Support: Seamless integration with OpenAI, Anthropic, Google, Azure, and more
• Workflow Management: Visual workflow designer and execution engine
• Tools Integration: Extensible tool system for various functionalities
• RAG Capabilities: Built-in Retrieval-Augmented Generation support
• Planning & Execution: Advanced planning algorithms with execution monitoring
• Industry Agnostic: Adaptable to finance, healthcare, e-commerce, education, and more

🏗️ Architecture

nijika/
├── core/                    # Core framework components
│   ├── agent/              # Agent management and lifecycle
│   ├── providers/          # AI provider abstractions
│   ├── memory/             # Memory management system
│   └── config/             # Configuration management
├── workflows/              # Workflow management system
│   ├── engine/             # Workflow execution engine
│   ├── designer/           # Visual workflow designer
│   └── templates/          # Pre-built workflow templates
├── tools/                  # Tool integration system
│   ├── registry/           # Tool registry and discovery
│   ├── builtin/            # Built-in tools
│   └── custom/             # Custom tool development
├── rag/                    # RAG implementation
│   ├── retrievers/         # Document retrieval systems
│   ├── embeddings/         # Embedding management
│   └── storage/            # Vector storage backends
├── planning/               # Planning and reasoning
│   ├── strategies/         # Planning strategies
│   ├── executors/          # Execution engines
│   └── monitors/           # Execution monitoring
├── ui/                     # User interface components
│   ├── dashboard/          # Management dashboard
│   ├── chat/               # Chat interface
│   └── api/                # REST API
└── examples/               # Example implementations

📦 Key Features

1. Multi-Provider AI Integration

• Unified interface for various AI providers
• Dynamic model switching and load balancing
• Cost optimization and rate limiting
• Provider-specific optimizations

2. Workflow Management

• Visual drag-and-drop workflow designer
• Conditional logic and branching
• Parallel execution and synchronization
• Workflow templates for common use cases

3. Tools & Extensions

• Plugin architecture for custom tools
• Built-in tools for common operations
• Tool composition and chaining
• Security and sandboxing

4. RAG System

• Multiple vector database support
• Hybrid search capabilities
• Document chunking and preprocessing
• Context-aware retrieval

5. Planning & Execution

• Multi-step planning algorithms
• Self-correcting execution
• Progress monitoring and logging
• Rollback and error handling

🚀 Quick Start

from nijika import Agent, WorkflowEngine, RAGSystem

# Create an agent with multiple providers
agent = Agent(
    name="customer_service_agent",
    providers=["openai", "anthropic"],
    tools=["email", "database", "knowledge_base"]
)

# Setup RAG system
rag = RAGSystem(
    documents_path="./knowledge_base",
    embeddings_provider="openai",
    vector_store="faiss"
)

# Create workflow
workflow = WorkflowEngine().create_workflow([
    {"step": "understand_query", "tool": "nlp_processor"},
    {"step": "retrieve_context", "tool": "rag_retriever"},
    {"step": "generate_response", "tool": "llm_generator"},
    {"step": "validate_response", "tool": "quality_checker"}
])

# Execute
result = agent.execute(
    query="How can I return a product?",
    workflow=workflow,
    context=rag.get_context()
)

🏭 Industry Applications

Finance

• Fraud detection and risk assessment
• Automated trading strategies
• Customer service and support
• Regulatory compliance monitoring

Healthcare

• Medical diagnosis assistance
• Patient care coordination
• Drug discovery research
• Clinical trial management

E-commerce

• Product recommendations
• Customer support automation
• Inventory management
• Price optimization

Education

• Personalized learning paths
• Automated grading and feedback
• Content generation
• Student support systems

🔧 Installation

pip install nijika

📚 Documentation

• Getting Started Guide
• API Reference
• Workflow Designer
• Tool Development
• Examples

🤝 Contributing

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

📄 License

MIT License - see LICENSE file for details.