> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/zhong-wen-fan-ti/pre-basic/providers/a-li-yun-bai-lian.md).

# 阿里雲百煉

1. 登入 [阿里云百炼](https://bailian.console.aliyun.com/?tab=model#/api-key)，如果冇阿里云賬號就需要註冊。
2. 撳右上角嘅 `建立我嘅 API-KEY` 按鈕。

<figure><img src="/files/3522980f0127f464a0484d08ecddbf5354128afd" alt=""><figcaption><p>阿里云百炼建立 API 密鑰</p></figcaption></figure>

3. 喺彈出視窗入面揀預設業務空間（或者你都可以自訂），如果你想嘅話可以填入描述。

<figure><img src="/files/bd964570aee396e2d32b29e566e6b4f5cdeed9a1" alt=""><figcaption><p>阿里云百炼建立 API 密鑰彈窗</p></figcaption></figure>

4. 撳右下角嘅 `確定` 按鈕。
5. 之後，你應該會見到列表入面多咗一行，撳右邊嘅 `查看` 按鈕。

   <figure><img src="/files/068a22387f56e87a009a213696667c59d34bc336" alt=""><figcaption><p>阿里云百炼查看 API 密鑰</p></figcaption></figure>
6. 撳 `複製` 按鈕。

   <figure><img src="/files/1f4907007b18d332161e6a1bbae782dc81e77eed" alt=""><figcaption><p>阿里云百炼複製 API 密鑰</p></figcaption></figure>
7. 去到 Cherry Studio，喺 `設定` → `模型服務` → `阿里云百炼` 入面搵到 `API 密鑰` ，將複製嘅 API 密鑰貼喺呢度。

   <figure><img src="/files/57bd871d74b19d4e366a3e10b71a41a182b148c8" alt=""><figcaption><p>阿里云百炼填入 API 密鑰</p></figcaption></figure>
8. 可以跟住 [模型服務](/docs/zhong-wen-fan-ti/pre-basic/settings/providers.md) 入面嘅介紹調整相關設定，然後就可以使用喇。

{% hint style="info" %}
如果發現模型列表入面冇阿里云百炼嘅模型，請確認已經按照 [模型服務](/docs/zhong-wen-fan-ti/pre-basic/settings/providers.md) 入面嘅介紹添加模型，並開啟咗呢個提供商。
{% endhint %}

***

### 💡 獲取幫助同提交反饋

如果您喺配置或使用過程中遇到任何疑問、Bug 或有功能改進建議，請參考 [反饋同建議](/docs/zhong-wen-fan-ti/question-contact/suggestions.md) 入面提供嘅官方渠道。


---

# 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://docs.cherryai.com.cn/docs/zhong-wen-fan-ti/pre-basic/providers/a-li-yun-bai-lian.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.