Steps to Deploy LangBot for Automated Customer Service in Enterprise WeChat
To deploy LangBot as an automated customer service for Enterprise WeChat, you need to complete the following operation process:
- preliminary: First create an application in the enterprise WeChat management backend to get API credentials such as CorpID and Secret.
- Docker Deployment(Recommended):
- Clone the project repository: git clone https://github.com/RockChinQ/LangBot.git
- Modify the enterprise microsoft configuration parameters in docker-compose.yml
- Start the container: docker-compose up -d
- Web Panel Configuration::
- Visit http://[Server IP]:8080 to enter the administrative backend
- Select Enterprise WeChat in "Messaging Platform" and fill in API credentials
- Setting callback URLs and Token and other parameters required by Enterprise WeChat
- AI model selectionConfigure models such as ChatGPT or Claude in the "Big Models" page according to the needs of customer service scenarios.
After completing the deployment, it is recommended to optimize the customer service experience by the following ways: 1) adding the FAQ knowledge base plug-in 2) setting up sensitive word filtering 3) configuring multi-round conversation scenarios. For high-frequency use, it is recommended to open the API whitelist function of Enterprise WeChat to avoid message flow restriction.
This answer comes from the articleLangBot: open source large model instant messaging robot, support for multiple WeChat, QQ, Flybook and other multi-platform deployment of AI robotsThe
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