readme.md

Feedback Agent

Feedback Agent is an agent in Node.js built with Langbase, designed to assist in collecting and analyzing user feedback. It leverages the following core functionalities:

Features

• 📝 Feedback Analysis

  • Sentiment Detection: Analyzes the sentiment of user feedback to determine the emotional tone.
  • Content Summarization: Summarizes feedback content to provide a concise overview.

• 🤖 Automated Response Management

  • Response Decision: Determines if feedback requires a response based on its content and sentiment.
  • Escalation Message Creation: Generates escalation messages for human support when negative feedback is received.

Get started

Let's get started with the project:

1. To get started with Langbase, you'll need to [create a free personal account on Langbase.com][signup] and verify your email address. Done? Cool, cool!

2. Download and setup the project

   The following command:

   • Downloads the example project folder from here
   • Renames the folder to example-feedback-agent-node
   • Changes the directory to the project folder
   • Copies the .env.example file to .env in the project folder

   npx degit LangbaseInc/awesome-agents/feedback-agent feedback-agent &&
   cd feedback-agent &&
   cp .env.example .env

3. Add the values of these environment variables to the .env file:

   # Get your org or user API key that can be used to access everything with Langbase.
   # https://langbase.com/docs/api-reference/api-keys
   LANGBASE_API_KEY="your-langbase-api-key"
   

4. Install dependencies:

   pnpm install
   
   # OR
   npm install

5. Run the feedback agent:

   pnpm dlx tsx index.ts
   
   # OR
   npx tsx index.ts

Project Structure

feedback-agent/
├── .env.example   # Environment variables example
├── .gitignore     # Git ignore
├── index.ts       # Feedback agent implementation
├── package.json   # Node.js package configuration and dependencies
└── readme.md      # Project documentation