agentic-chatbot

🤖 AI Agents for Enhanced Chatbots

Enterprise-grade AI agents that work together to create smarter, safer, and more efficient chatbots with conversation memory and advanced features.

🎯 Quick Start

from agentic_chatbot import create_openai_agent

# Basic agent with tools
agent = create_openai_agent(enable_tools=True)
response = agent.invoke("user_123", "What's the latest news about AI?")

# Full-featured agent with RAG
agent = create_openai_agent(enable_rag=True, enable_tools=True)
response = agent.invoke("user_123", "Tell me about quantum computing")

✨ Key Features

• 🛡️ Security Agent - Detects malicious content and security threats
• 🧠 Context Agent - Analyzes query relevance and conversation flow
• 🎯 Model Selection Agent - Intelligently selects optimal LLM models
• 💬 Advanced Conversation Agent - Multi-user memory with RAG, tools, and monitoring

🚀 Core Capabilities

• Multi-LLM Support: OpenAI, Anthropic, Google, Ollama
• RAG Integration: Document retrieval with ChromaDB and FAISS
• Tool Integration: Google Search, Wikipedia, custom tools
• Multi-User Sessions: Separate conversation history per user
• Enterprise Storage: Redis, MongoDB, PostgreSQL backends
• Comprehensive Monitoring: Token tracking, cost estimation, analytics

📦 Installation

pip install agentic-chatbot

🔧 Optional Features

# RAG capabilities
pip install agentic-chatbot[rag]

# Tool integration  
pip install agentic-chatbot[tools]

# Enterprise features
pip install agentic-chatbot[enterprise]

# Development tools
pip install agentic-chatbot[dev]

📚 Documentation

• Full Documentation: GitHub Repository
• Examples: See examples/ directory
• Advanced Guide: COMPREHENSIVE_AGENT_GUIDE.md

🤝 Contributing

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

📄 License

MIT License - see LICENSE file for details.

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Ready to build enterprise-grade AI chatbots? 🚀

Made with ❤️ by the AI Agents Team