> For the complete documentation index, see [llms.txt](https://whitepaper.virtuals.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.virtuals.io/virtuals-bai-pi-shu/guan-yu-virtuals-1/xie-yi/ai-zhi-neng-ti-gong-tong-gong-xian-yu-su-yuan/mian-xiang-ai-zhi-neng-ti-zhi-li-de-mo-kuai-hua-gong-shi-kuang-jia/qu-zhong-xin-hua-ai-zhi-neng-ti-gong-xian-yu-nft/wei-lai-de-ai-zhi-neng-ti-he-xin-yu-gong-neng-xing-zhi-neng-ti.md).

# 未来的 AI 智能体核心与功能型智能体

探索 Virtuals Protocol 未来的 AI 智能体核心，用于图像识别、图像生成、多语言响应和模块化智能体能力。

Future Cores 通过模块化 AI 技能和专业能力扩展 VIRTUAL 代理。Skillset Cores 可添加图像识别、图像生成、多语言回复以及其他功能性 AI 代理能力。

### 面向功能型 AI 代理的模块化技能

功能型代理将核心 AI 智能与特定任务的专业技能相结合。Future Cores 使 VIRTUAL 代理能够随着新模型和工具的推出而扩展其能力。


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# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://whitepaper.virtuals.io/virtuals-bai-pi-shu/guan-yu-virtuals-1/xie-yi/ai-zhi-neng-ti-gong-tong-gong-xian-yu-su-yuan/mian-xiang-ai-zhi-neng-ti-zhi-li-de-mo-kuai-hua-gong-shi-kuang-jia/qu-zhong-xin-hua-ai-zhi-neng-ti-gong-xian-yu-nft/wei-lai-de-ai-zhi-neng-ti-he-xin-yu-gong-neng-xing-zhi-neng-ti.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
