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Simple agent

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

An agent uses an LLM as its "brain" to select among the connected tools and complete its tasks.

In this flow, the Tool-calling agent reasons using an Open AI LLM. The agent selects the Calculator tool for simple math problems and the URL tool to search a URL for content.

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 Simple Agent flow.

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

Simple Agent flow​

Starter flow simple agent

The Simple 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 URL tool component searches a list of URLs for content.
  • The Calculator component performs basic arithmetic operations.
  • 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 OpenAI model component sends the user input and prompt to the OpenAI API and receives a response.

Run the Simple Agent flow​

  1. Add your credentials to the Open AI component.
  2. Click Playground to start a chat session.
  3. To confirm the tools are connected, ask the agent, What tools are available to you? The response is similar to the following:

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I have access to the following tools:
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Calculator: Perform basic arithmetic operations.
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fetch_content: Load and retrieve data from specified URLs.
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fetch_content_text: Load and retrieve text data from specified URLs.
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as_dataframe: Load and retrieve data in a structured format (dataframe) from specified URLs.
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get_current_date: Returns the current date and time in a selected timezone.

  1. Ask the agent a question. For example, ask it to create a tabletop character using your favorite rules set. The agent will tell you when it's using the URL-fetch_content_text tool to search for rules information, and when it's using CalculatorComponent-evaluate_expression to generate attributes with dice rolls. The final output should be similar to this:

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Final Attributes
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Strength (STR): 10
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Constitution (CON): 12
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Size (SIZ): 14
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Dexterity (DEX): 9
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Intelligence (INT): 11
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Power (POW): 13
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Charisma (CHA): 8

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

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