Architecture overview

Now let's dive into the complete architecture. Our system uses LangGraph to orchestrate 6 specialized agents, each with a specific role in the pipeline.

Complete agent workflow

The full flow from user question to final answer with visualization.

Yes! You saw the high-level concept earlier. This diagram shows the full implementation detail, including the error recovery loop and visualization decision branch. It looks complex, but we will build it one agent at a time. By the end, each piece will feel straightforward.

LangGraph uses a state graph with conditional edges. After each agent finishes, a routing function inspects the current state and picks the next node. For example, if the executor reports an error, the router sends control to the Error Agent instead of the Analysis Agent.

Flashcards: Flashcards

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AI prompt: Try it with AI

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Matching exercise: Match agents to their responsibilities

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You have the full picture of how the 6 agents work together. Next, we will set up your development environment so you can start building.