Sequential tasks agent

Build a Sequential Tasks Agent flow for a multi-agent application using multiple Agent components.

Each agent has an LLM model and a unique set of tools at its disposal, with Prompt components connected to the Agent Instructions fields to control the agent's behavior. For example, the Researcher Agent has a Tavily AI Search component connected as a tool. The Prompt instructs the agent how to answer your query, format the response, and pass the query and research results on to the next agent in the flow.

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

Prerequisites

• An OpenAI API key
• A Tavily AI API key

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.

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.

_10

Should I invest in Tesla (TSLA) stock right now?

_10

Please analyze the company's current position, market trends,

_10

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.

4. 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.
5. 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.