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01 Simple Agent

<p>This workflow demonstrates how to create an agent that is able to analyze product feedback and generate discount codes using two tools. Two solutions are showed:</p><ul><li><p>The <strong>Agent Chat View</strong> creates an interactive view where you can directly prompt the agent.</p></li><li><p>The <strong>Agent Prompter</strong> prompts the agent with one user question and produces the conversation in output.</p></li></ul>

This workflow demonstrates how to create an agent that is able to analyze product feedback and generate discount codes using two tools. Two solutions are showed:

  • The Agent Chat View creates an interactive view where you can directly prompt the agent.

  • The Agent Prompter prompts the agent with one user question and produces the conversation in output.

List the tools in the Tools-message folder

Questions for the agent

The LLM behind the agent is able to reply to generic questions. For example, try

  • How do you count to 10 in Dutch?

  • What is the currency used in Switzerland?

The tools are able to perform some specific operations on user feedback. For example

  • Generate a discount code for the product mentioned in the following user feedback: "I loved the LK-887 vacuum cleaner!"

Set up the OpenAI API key, authenticate, and select the LLM

01 Simple Agent

This workflow demonstrates how to create an agent that is able to analyze product feedback and generate discount codes using two tools. Two solutions are showed:

  • The Agent Chat View creates an interactive view where you can directly prompt the agent.

  • The Agent Prompter prompts the agent with one user question and produces the conversation in output.

Get API Key
Select the model
OpenAI LLM Selector
Execute and get conversationin output
Agent Prompter
Authenticate
OpenAI Authenticator
Execute and chat in thenode view
Agent Chat View
Tools-messages
List Files/Folders
Workflow to Tool

Nodes

Extensions

Links