by openai · Agent Tool · ★ 5.9k
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Customer Service Agents Demo This repository contains a demo of a Customer Service interface built on top of the OpenAI Agents SDK. It is composed of two parts: A python backend that handles the agent orchestration logic, implementing the Agents SDK customer service example A Next.js UI allowing the visualization of the agent orchestration process and providing a chat interface. It uses ChatKit to provide a high-quality chat interface. How to use Setting your OpenAI API key You can set your OpenAI API key in your environment variables by running the following command in your terminal: You can also follow these instructions to set your OpenAI key at a global level. Alternatively, you can set the environment variable in an file at the root of the folder. You will need to install the package to load the environment variables from the file. And then, add
| Stars | 5,925 |
| Forks | 914 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.4515347594249/100 |
| Open Issues | 26 |
| Last Updated | 2025-12-18 |
| Created | 2025-06-14 |
| Platforms | python |
| Est. Tokens | ~1639k |
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openai-cs-agents-demo is Demo of a customer service use case implemented with the OpenAI Agents SDK. It is categorized as a Agent Tool with 5.9k GitHub stars.
openai-cs-agents-demo is primarily written in Python.
You can find installation instructions and usage details in the openai-cs-agents-demo GitHub repository at github.com/openai/openai-cs-agents-demo. The project has 5.9k stars and 914 forks, indicating an active community.
openai-cs-agents-demo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openai-cs-agents-demo on Agent Skills Hub include open-saas, agent-skills, raptor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.