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Sequential tasks agent

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

Each agent is connected to a unique tool, with Prompt components connected to the Agent Instructions fields to control the agent's behavior.

Each successive agent in the flow builds on the work of the previous agent, creating a chain of reasoning for solving complex problems.

Prerequisites​

Open Langflow and create a new flow​

  1. Click New Flow, and then select Sequential Tasks Agent. This opens a starter template with the necessary components to run the flow.

Starter flow for Sequential Tasks Agent

The Sequential Tasks Agent flow consists of these components:

  • The Agent components use the connected LLM to analyze the user's input and select among the connected tools to complete the tasks.
  • The Chat Input component accepts user input to the chat.
  • The Prompt component combines the user input with a user-defined prompt.
  • The Chat Output component prints the flow's output to the chat.
  • The YFinance tool component provides access to financial data from Yahoo Finance.
  • The Tavily AI Search tool component performs AI-powered web searches.
  • The Calculator tool component performs mathematical calculations.

Run the Sequential Tasks Agent flow​

  1. Add your OpenAI API key to the Agent components.
  2. Add your Tavily API key to the Tavily component.
  3. Click Playground to start a chat session with the template's default question.

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Should I invest in Tesla (TSLA) stock right now?
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Please analyze the company's current position, market trends,
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financial health, and provide a clear investment recommendation.

This question provides clear instructions to the agents about how to proceed and what question to answer.

  1. In the Playground, inspect the answers to see how the agents use the Tavily AI Search tool to research the query, the YFinance tool to analyze the stock data, and the Calculator to determine if the stock is a wise investment.
  2. Ask similar questions to see how the agents use the tools to answer your queries.

Next steps​

To create your own multi-agent flow, see Create a problem solving agent.

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