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Visualize the graph and return tool outputs

Your chatbot's graph is ready! First, you'll visualize the graph diagram to ensure that it's been correctly set up. Then, you'll build a function that allows you to run the chatbot as an application, passing in a question as a string and then obtaining the response. If the LLM alone is insufficient, the chatbot can access Wikipedia using the API tool to respond.

The graph has already been compiled for you.

graph = graph_builder.compile()

Questo esercizio fa parte del corso

Designing Agentic Systems with LangChain

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Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Produce the chatbot graph
try:
    ____(____(graph.____().____()))

except Exception:
    print("Plot generation failed... falling back to cached asset.")
    display_fallback()
Modifica ed esegui il codice