Study customer-service triage and handoff patterns with the OpenAI CS agents demo

Use OpenAI's customer-service agents demo as a reference workflow for triage, specialist handoffs, guardrails, and support-case orchestration before building a production support agent.

Prerequisites

OpenAI API key; Python backend; Node.js/Next.js UI; OpenAI Agents SDK; ChatKit

Installation

Use the upstream install or setup path that matches your environment:

• pip install -r requirements.txt
• npm install
• npm run dev

Requirements and caveats from upstream:

• This repository contains a demo of a Customer Service interface built on top of the OpenAI Agents SDK.
• A python backend that handles the agent orchestration logic, implementing the Agents SDK customer service example
• Alternatively, you can set the OPENAI_API_KEY environment variable in an .env file at the root of the python-backend folder. You will need to install the python-dotenv package to load the environment variables from th...

Basic usage or getting-started notes:

• bash

• source .venv/bin/activate

• For the UI, you can run:

• Source: https://github.com/openai/openai-cs-agents-demo

• Extracted from upstream docs: https://raw.githubusercontent.com/openai/openai-cs-agents-demo/HEAD/README.md

Documentation

• https://github.com/openai/openai-cs-agents-demo

Source

• Agent Skill Exchange