# Quick AI Application Builder (QAI AppBuilder)

QAI AppBuilder 透過促進 AI 模型的高效率部署，擴展 Qualcomm® AI Runtime SDK 的功能。QAI AppBuilder 的設計目的在於協助開發者充分利用 Qualcomm® AI Runtime SDK，以便在 Windows on Snapdragon (WoS) 平台上以無縫方式執行模型。它將模型執行 API 抽象化為精簡的介面，用於將模型載入到 NPU/HTP 並執行推理，從而為開發者大幅降低部署的複雜性。

如需詳細資訊，請參閱 [QAI AppBuilder](https://github.com/quic/ai-engine-direct-helper/tree/main?tab=readme-ov-file) 。

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<div class='topic-detail'><div class='topic-updated-date'><span> Last Published: </span>Dec 16, 2025</div><div class='prev-and-next-links'><span class='previous-topic-link'><span aria-hidden='true' class='disabled' data-tip='' data-effect='solid'></span></span></div></div></body>
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## QAI AppBuilder 的功能特色

- 簡單：容易使用，無需 AI 經驗
- 支援 Python、C++，以及像是 LangFlow 等工具。
- 在本機的 NPU 上以低延遲的方式執行。
- 所有資料皆保留在裝置上，沒有雲端費用，且完全在本機執行。
- 可與 OpenAI 風格的 API 協同工作，以利整合。

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)

## 更多功能細節

- - **QAI AppBuilder 啟動器** ：高通提供一套完整的範例應用程式，以協助開發者快速探索 QAI AppBuilder 的功能。
    - 某些關鍵範例還提供設置腳本，可簡化環境配置，讓使用者能在更短的時間內體驗核心功能。這些腳本可透過 <cite>QAI AppBuilder 啟動器 &lt;https://github.com/quic/ai-engine-direct-helper/blob/main/tools/launcher&gt;</cite> 存取。
- **教學** ：針對如何以 QAI AppBuilder 執行 AI 模型的範例教學，請參閱 [教學](https://github.com/quic/ai-engine-direct-helper/blob/main/docs/tutorial.ipynb) 。
- **範例使用案例** ：高通提供許多可直接執行的 Python 和 C++ 範例使用案例。這些範例所使用的模型來自 AI-Hub。

    - 高通提供多個基於 QAI AppBuilder 的 [WebUI AI 應用程式](https://github.com/quic/ai-engine-direct-helper/blob/main/samples/webui/README.md) ，讓使用者能快速體驗。
    - 有 Python 範例使用案例可供使用。關於 Python 的使用案例，請參閱 [Python 範例](https://github.com/quic/ai-engine-direct-helper/tree/main/samples/python) 。
    - 提供了 C++ 的範例使用案例以展示 QAI AppBuilder 的功能。關於 C++ 的使用案例，請參閱 [C++ 範例](https://github.com/quic/ai-engine-direct-helper/tree/main/samples/c++) 。

4. **工具** ：LangFlow 是一個第三方開發工具，其設計目的在於簡化 AI 模型的創建與部署。QAI Builder Langflow 套件展示如何在 Windows on Snapdragon (WoS) 平台上執行 Langflow，並以 NPU 加速 AI 模型推理。如需詳細資訊，請參閱 [QAI Builder Langflow](https://github.com/quic/ai-engine-direct-helper/tree/main/tools/langflow) 。
5. **OpenAI 支援** ：QAI AppBuilder 的一項功能是在 C++ 和 Python 實作中提供與 OpenAI 相容的 API 服務。如需進一步說明，請參閱 [基於 Python 的服務](https://github.com/quic/ai-engine-direct-helper/blob/main/samples/genie/python/README.md) 和 [基於C++ 的服務](https://github.com/quic/ai-engine-direct-helper/blob/main/samples/genie/c++/README.md) 。

Last Published: Dec 16, 2025

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