5 Commands to a Production-Ready AI Foundation (LangGraph Studio) скачать в хорошем качестве

5 Commands to a Production-Ready AI Foundation (LangGraph Studio)

5 Commands. 1 Professional Foundation. No Dependency Chaos. Most people quit building AI agents because their environment breaks before they even write a single node. In this video, I show you how to skip the "dependency hell" and set up a Professional-Grade Agentic Environment in just 5 commands. We aren't just building a "hello world" bot. We are setting up the architecture to build Stateful Agents that actually work in production. What we’re using: Conda: For clean, isolated environments. LangGraph: To orchestrate the agent's logic. Grok (xAI): For a powerful, model-agnostic brain (with a free tier!). LangGraph Studio: To visually debug your agent's "thoughts" node-by-node. The "Step 0" Setup (The 5 Commands): python --version conda create -n agent_env python=3.11 conda activate agent_env conda install langgraph langchain-openai langchain-xai (or your preferred model) langgraph dev — Watch the magic happen. 🚀 Get the Starter Files: Don't hard-code your logic. Grab my repo structure and the 5-command cheat sheet here: https://github.com/MaheshRangana/lang... Why this matters: Models change (OpenAI today, Grok tomorrow), but your Architecture should stay the same. This series is about building agents that survive the real world. #aiagents #langgraph #Grok #softwarearchitecture #pythontutorial #langchain #machinelearning #efficiency #codingtips #aiinfrastructure #aiarchitecture #maheshrange