> For the complete documentation index, see [llms.txt](https://docs.convai.com/api-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.convai.com/api-docs/zh/cha-jian-yu-ji-cheng/web-plugins/playcanvas-plugin.md).

# PlayCanvas 插件

用于 Convai 集成的 PlayCanvas 模板。

### 概述

### 将 ConvAI 与 PlayCanvas 集成

ConvAI 是一款强大的工具，可帮助开发者将自然语言处理（NLP）和对话式 AI 功能集成到他们的 PlayCanvas 项目中。通过遵循本指南，你将学习如何将 ConvAI 无缝集成到你的 PlayCanvas 项目中，从而为用户创建引人入胜的交互式体验。

为帮助你快速上手，我们创建了一个参考 PlayCanvas 项目，用于演示 ConvAI 的集成。该项目可作为你的基础，帮助你在自己的项目中构建并理解集成 ConvAI 所需的步骤。

{% hint style="success" %} <mark style="color:黄色;">**项目链接：**</mark> [<mark style="color:黄色;">**https://playcanvas.com/project/1216467/overview/convai-sdk**</mark>](https://playcanvas.com/project/1216467/overview/convai-sdk)
{% endhint %}

###


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.convai.com/api-docs/zh/cha-jian-yu-ji-cheng/web-plugins/playcanvas-plugin.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
