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利用人工智能代理、Oracle Redwood 和生成式人工智能提升供应链计划 [PRE1109](4).pdf

上传人: Fl****zo 编号:971298 2025-11-08 22页 2.79MB

1、 Confidential Oracle Internal AI Agent Studio Training Lab Exercise(s)Building a Custom AI Agent for Supply Chain Management Copyright 2025,Oracle and/or its affiliates Version 1.0 Public 2 Lab Exercise(s)Building a Custom AI Agent/Version 1.0 Confidential Oracle Internal Disclaimer This document in

2、 any form,software or printed matter,contains proprietary information that is the exclusive property of Oracle.Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement,which has been executed and with which you

3、agree to comply.This document and information contained herein may not be disclosed,copied,reproduced or distributed to anyone outside Oracle without prior written consent of Oracle.This document is not part of your license agreement nor can it be incorporated into any contractual agreement with Ora

4、cle or its subsidiaries or affiliates.This document is for informational purposes only and is intended solely to assist you in planning for the implementation and upgrade of the product features described.It is not a commitment to deliver any material,code,or functionality,and should not be relied u

5、pon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described in this document remains at the sole discretion of Oracle.Due to the nature of the product architecture,it may not be possible to safely include all features described in this doc

6、ument without risking significant destabilization of the code.Table of contents Lab Overview 2 Purpose 2 Exercise Building a Custom AI Agent 3 Lab Overview AI Agent Studio is a design-time environment that empowers you to create,configure,validate,and deploy AI agents to meet your organizations need

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根据《AI Agent Studio TrainingLab Exercise(s) – Building a CustomAI Agent for Supply ChainManagement》文档内容,以下是全文关键点: 1. **目的**:提供创建“Item Comparison Advisor”代理的步骤,以帮助设计工程师比较技术规格、成本、审批状态和交货时间,做出最佳选择。 2. **环境**:使用AI Agent Studio设计时环境,创建和部署AI代理。 3. **步骤**: - 创建业务对象和业务对象函数。 - 设计深链接和工具。 - 创建代理和代理团队。 - 添加工具到代理。 - 测试代理。 4. **测试**:通过用户查询测试代理功能,如比较不同项目、询问主要差异等。 5. **完成**:完成所有实验室任务后,可进行测试和验证。
打造供应链智能助手?" "如何用AI Agent Studio优化供应链决策?" 揭秘高效供应链的秘密武器!"
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