ITAC AI Agent
Integrates Large Language Models with cloud infrastructure and the Model Context Protocol to enable intelligent, secure, and auditable AI agentic behavior.
The ITAC AI Agent is an end-to-end GenAI framework designed for building production-ready AI agents. It leverages LangGraph for robust multi-step orchestration, LangChain for flexible tool-calling, and an advanced Retrieval-Augmented Generation (RAG) system for enhanced memory and contextual understanding. With support for both OpenAI and local Hugging Face LLMs, secure tool execution via the MCP server, and scalable async/streaming capabilities, this framework provides a comprehensive solution for deploying intelligent agents that can interact with real cloud actions and internal documentation, all while ensuring auditable and secure operations.
