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ReviewAnalysisAgent 为例，展示如何定义提示词、工具、聊天模型

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By Watermark Strategy.noWatermarks
| 360doc.com
以及如何处理聊天响应并发送输出事件。更多细节请参考 [工作流代理] 文档。ProductSuggestionAgent 的代码与之类似。 /** * An agent that uses a large language model (LLM) to analyze product reviews and generate a * satisfaction score and potential reasons for dissatisfaction. * * <p>This agent receives a product review and produces a satisfaction score and a list of reasons * for dissatisfaction. It handles prompt construction, LLM interaction, and output parsing.
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Dynamic rule processing for data streams using Flink & Serverless on AWS

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By Watermark Strategy.noWatermarks, ReadOnlyContext ctx, Context ctx
| DEV Community
The write up below requires some working knowledge of Apache Flink along with basic understanding of AWS. Apache Flink is a Complex Event Processing (CEP) framework primarily used for working with continuous data streams at hyperscale offering tools to work with a wide variety of use cases. If you’re new to Flink and do not have the vaguest idea, I’d recommend reading this piece first. The what & why Pattern detection is one of the areas Flink excels at scale.
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flink用法详解_flink使用-CSDN博客

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By Watermark Strategy.noWatermarks
| CSDN
Flink 无界流 (Unbounded Streams): 数据流理论上没有终点，持续不断地流入系统。Flink 会连续地处理这些事件，即使在处理过程中新的数据还在不断到来。 有界流 (Bounded Streams): 数据流有一个明确的起点和终点，处理完所有数据后任务即结束。Flink 可以像处理流一样处理批数据，采用相同的 API 并提供高效执行。 编写一个Flink步骤 创建一个flink执行环境 创建一个数据来源 source 编写流操作 transformations 数据流出口 sink 执行任务 execute public class SimpleFlinkJob { public static void main(String[] args) throws Exception { final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); Properties kafkaProps = new Properties();...
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