The Deep Chat project is accompanied by detailed official documentation and rich examples, with clear guidelines from basic API calls to advanced feature implementation. The documentation explains in detail how to interface with various AI platforms, including OpenAI key configuration, Azure endpoint settings and other technical details. Specialized sample code is provided for different front-end frameworks such as React, Vue, etc. to accelerate the integration process for developers. The project maintainer has also designed an interceptor mechanism that allows developers to inject custom logic into the request and response process, flexibly adapting to various business needs. Perfect testing tool chain including build:watch real-time preview function , making the debugging process more efficient . This set of support system greatly reduces the technical threshold , to ensure that developers can quickly realize the production-level deployment .
This answer comes from the articleDeep Chat: an AI chat component for quick website integrationThe
