使用 OpenAI CS agents 演示研究客户服务分流和交接模式
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/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/openai/openai-cs-agents-demo/HEAD/README.md
Documentation
- https://github.com/1991513ccie-png/skills
