LangGraph Agent Build | StateGraph + ToolNode + Groq LLM | 03/04 |
š§ (03/04) This is the CORE video of the series. We build the actual AI Agent using LangGraph's StateGraph ā connecting the LLM to tools with conditional routing. By the end of this video, you'll understand exactly how an AI agent "thinks" ā how it decides which tool to call, executes it, reads the result, and loops until it has an answer. š What you'll learn: ⢠Setting up ChatGroq with LLaMA 3.1 8B Instant ⢠SQLDatabaseToolkit ā auto-generated SQL tools ⢠Binding tools to the LLM (llm.bind_tools) ⢠Defining State with TypedDict and add_messages ⢠Building the Assistant Node (LLM reasoning) ⢠Building the Tools Node (ToolNode execution) ⢠Conditional edges ā how the agent decides: tool or answer? ⢠Enforcing sequential tool calls (one at a time) ⢠Compiling the graph (builder.compile()) ⢠Running the agent & reading state logs ⢠Full walkthrough: "What is revenue for SKU-6?" š File covered: ⢠agent.py ā The complete agent implementation š Key Concepts: ⢠StateGraph ā a directed graph where state flows between nodes ⢠ToolNode ā prebuilt node that executes tool calls ⢠tools_condition ā routes to tools or END based on LLM output ⢠State accumulation ā full message history enables multi-step reasoning This is Part 3 of a 4-part series where we build a complete AI Agent with LangGraph + Groq + Streamlit. š Full Series: ā¶ļø Part 1: Theory (LangChain & LangGraph) ā¶ļø Part 2: Database, Tools & Prompt Setup ā¶ļø Part 3: Building the Agent (agent.py deep dive) ā YOU ARE HERE ā¶ļø Part 4: Streamlit UI & Deploy on Replit š» Source Code: https://github.com/Suarj6133/Langchai... ā Star the repo if this helps! āāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā±ļø TIMESTAMPS: 0:00 ā Introduction ā what makes this the "brain" 1:30 ā Importing dependencies & architecture 6:31 ā ChatGroq LLM setup (temperature=0 explained) 7:50 ā SQLDatabaseToolkit ā what tools it gives us 8:00 ā Combining SQL tools + custom tools & giving LLM superpowers 9:30 ā Defining State (TypedDict + add_messages) 10:20 ā Assistant Node ā the reasoning function 11:50 - State Graph sequential diagram 14:11 ā Sequential Diagram - 15:30 - Adding nodes and edges 17:15 ā add_edge & conditional_edge 18:15- Live demo ā "What is revenue for SKU-6?" āāāāāāāāāāāāāāāāāāāāāāāāāāāā š HASHTAGS: #LangGraph #AIAgent #Python #StateGraph #Groq #LLaMA #LangChain #Tutorial #BuildAIAgent #ToolNode #MachineLearning #AgentPy #LLMAgent āāāāāāāāāāāāāāāāāāāāāāāāāāāāā

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