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Travel planning agent

This flow demonstrates using multiple Agent components in a single flow.

In this flow, multiple Agents plan a travel journey. Each agent is given a different responsibility defined by its System Prompt field. The Chat input defines where the user wants to go, and passes the result to the City Selection agent. The Local Expert agent then adds information based on the selected cities, and the Travel Concierge assembles a seven day travel plan in Markdown.

All agents have access to the Search API and URL Content Fetcher components, while only the Travel Concierge agent can use the Calculator for computing the trip costs.

Prerequisites​

Open Langflow and start a new flow​

Click New Flow, and then select the Travel Planning Agent flow.

This opens a starter flow with the necessary components to run an agentic application using multiple Tool-calling agents.

Create the travel planning agent flow​

The Travel Planning Agent flow consists of these components:

  • Multiple Tool calling agent components that use the connected LLM to reason through the user's input and select among the connected tools to complete their tasks.
  • The Calculator component performs basic arithmetic operations.
  • The URL Content Fetcher component scrapes content from a given URL.
  • The Chat Input component accepts user input to the chat.
  • The Chat Output component prints the flow's output to the chat.
  • The OpenAI model component sends the user input and prompt to the OpenAI API and receives a response.

Run the travel planning agent flow​

  1. Add your credentials to the OpenAI and Search API components.
  2. To run the flow, click Playground. You should receive a detailed, helpful answer to the journey defined in the Chat input component.

Now that your query has completed the journey from Chat input to Chat output, you have completed the Travel Planning Agent flow.

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