xintongsong commented on code in PR #809:
URL: https://github.com/apache/flink-web/pull/809#discussion_r2404374753


##########
docs/content/posts/2025-10-01-release-flink-agents-0.1.0.md:
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@@ -0,0 +1,57 @@
+---
+title:  "Apache Flink Agents 0.1.0 Release Announcement"
+date: "2025-10-01T08:00:00.000Z"
+authors:
+- xtsong:
+  name: "Xintong Song"
+aliases:
+- /news/2025/10/01/release-flink-agents-0.1.0.html
+---
+\<todo: update release date in: filename, header-date, header-aliases\>
+
+The Apache Flink Community is excited to announce the first preview release of 
Apache Flink Agents (0.1.0).
+
+## What is Apache Flink Agents
+
+Apache Flink Agents is a brand-new sub-project from the Apache Flink 
community. It's an open-source framework for building event-driven streaming 
agents that can operate with scalability, reliability, and real-time 
responsiveness. 
+
+### Why Apache Flink Agents Matters
+
+While AI agents have made rapid progress in interactive applications like 
chatbots, most still operate outside the high-throughput, low-latency world of 
real-time data processing. Yet in industrial settings -- from e-commerce and 
finance to IoT and logistics -- critical decisions must be made instantly in 
response to live events: a payment failure, a sensor anomaly, a user click. 
These workloads demand more than just intelligence -- they require massive 
scale, millisecond latency, fault tolerance, and stateful coordination, all of 
which are strengths of Apache Flink. But until now, there’s been no unified 
framework to bring agentic AI patterns into this proven streaming ecosystem. 
Apache Flink Agents bridges this gap.
+
+### Key Features
+
+Building on Flink's battle-tested streaming engine, Apache Flink Agents 
inherits distributed, at-scale, fault-tolerant structured data processing and 
mature state management, and adds first-class abstractions for Agentic AI 
building blocks and functionalities -- large language models (LLMs), prompts, 
tools memory, dynamic orchestration, observability, and more.
+
+The key features of Apache Flink Agents include:

Review Comment:
   @alnzng, that one is mentioned as "Exactly-Once Action Consistency". Here I 
didn't mention "replay-based", because I want our users to focus on WHAT 
capability (the consistency) we provide, rather than HOW (replay-based) we 
deliver that capability. And as I said, that seems to be conflict against the 
testing / debugging / evaluation purposes that @thefalc mentioned.



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