langflow/docs/docs/Tutorials/tutorials-math-agent.md

title	slug
Math agent	/tutorials-math-agent

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Build a Math Agent flow for an agentic application using the Tool-calling agent component.

In this flow, the Tool-calling agent reasons using an Open AI LLM to solve math problems. It selects the Calculator tool for simpler math and the Python REPL tool (with the Python math library) for more complex problems.

Prerequisites

To use this flow, you need an OpenAI API key.

Open Langflow and start a new flow

Click New Flow, and then select the Math Agent flow.

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

Math Agent flow

The Math Agent flow consists of these components:

• The Tool calling agent component uses the connected LLM to reason through the user's input and select among the connected tools to complete its task.
• The Python REPL tool component executes Python code in a REPL (Read-Evaluate-Print Loop) interpreter.
• The Calculator component performs basic arithmetic operations.
• The Chat Input component accepts user input to the chat.
• The Chat Output component prints the flow's output to the chat.

Run the Math Agent flow

1. Add your credentials to the Agent component.
2. Click Playground to start a chat session.
3. Enter a simple math problem, like 2 + 2, and then make sure the bot responds with the correct answer.
4. To confirm the REPL interpreter is working, prompt the math library directly with math.sqrt(4) and see if the bot responds with 4.
5. The agent will also reason through more complex word problems. For example, prompt the agent with the following math problem:

The equation 24x2+25x−47ax−2=−8x−3−53ax−2 is true for all values of x≠2a, where a is a constant.
What is the value of a?
A) -16
B) -3
C) 3
D) 16

The agent should respond with B.

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