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Unleash Real-Time Agentic AI with Streaming Agents on Confluent Cloud with WWT

Confluent's Streaming Agents revolutionize AI workflows by unifying data processing with agentic AI on a single platform. Leveraging real-time context, they enhance decision-making and automation, ideal for dynamic enterprise applications. Discover how these agents transform data into actionable insights, driving innovation and efficiency in real-time fraud prevention, customer support and supply chain optimization.

In this blog

  1. Get started with Streaming Agents

We're thrilled to partner with Confluent today as they announce the new features for Streaming Agents on Confluent Cloud and a new Real-Time Context Engine. Unifying data processing and agentic AI workflows, Streaming Agents enable developers to build, deploy, and orchestrate event-driven agents using fully managed Apache Flink® and Apache Kafka® on a unified platform. Today's new capabilities take this further by helping teams build trustworthy agents faster and more easily, gain enhanced observability, and improve AI decision-making with real-time context. 

As a Confluent Partner, we see firsthand why the introduction of Streaming Agents was so critical. At its core, every AI problem is a data problem. When data is stale, incomplete, or inaccessible, even the most sophisticated agents and Large Language Models (LLMs) can't deliver reliable results. 

This is exactly what the market demanded: a solution for building scalable multi-agent systems that are event-driven, replayable, and grounded in fresh, contextualized data. Developers needed a single platform that didn't just provide isolated tools, but one that enabled them to easily source data, reliably move from prototype to production, and gain the necessary observability to debug, evaluate and iterate on what's actually happening inside their agents.

Streaming Agents power intelligent, context-aware automation

Embedded in data streams with access to the latest, most complete and accurate view of operational events, Streaming agents effectively act as the eyes and ears of the business. They're designed to handle high-volume real-time data and evolving context, making them ideal for enterprise use cases where fresh information, accuracy and observability are critical. By continuously monitoring data streams and using context from diverse sources, Streaming Agents can make intelligent, informed decisions and automate actions that drive better outcomes. 

High-value use cases include:

  • Real-time fraud prevention – Continuously ingest and process transaction data, detect anomalies and automatically block suspicious activity.
  • Dynamic customer support – Pull live context from CRM systems, chat interactions, and knowledge bases to deliver in-the-moment personalized and accurate responses.
  • Intelligent supply chain optimization – Track inventory, shipments, and demand signals in real time, automatically reordering stock, rerouting shipments, or adjusting production schedules based on live conditions.

What's new in the Q4 2025 release:

With Streaming Agents, every engineer can use familiar Flink APIs to build secure and trustworthy agents, with native support for Model Inference, Tool Calling with MCP, Embeddings for RAG, Built-in ML Functions, External Tables and Search, and Connections. Confluent continues to expand these capabilities and deliver more streamlined developer experiences.

  • Agent Definition – Quickly build agents in just a few lines of code and unlock more sophisticated tasks with better outcomes by iteratively evaluating and adapting tool calling.
  • Observability and Debugging – Gain visibility into all agent actions, easily diagnose issues to accelerate resolution, and reliably recover from failure.
  • Real-Time Context Engine – Using MCP, serve fresh context to Streaming Agents as well as any other AI agent and application to improve decision-making and the quality of outputs.

 Get started with Streaming Agents

Ready to build your first agent in minutes? 

By integrating data processing and AI workflows, Streaming Agents enable the creation of intelligent agents that are event-driven, observable, and context-aware with unprecedented ease. Keep and get more out of your AI stack by seamlessly integrating Streaming Agents with any data system, model and tool using familiar Flink APIs on top of a secure, governed data streaming platform.

Check out more info about how WWT and Confluent work together to deliver business-critical data streaming solutions for customers: https://www.wwt.com/partner/confluent/overview

Learn more about Confluent's Streaming Agents and try the Streaming Agents Quickstart. 

Apache®, Apache Kafka®, Apache Flink®, Flink®, and the Flink logo are trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by using these marks. All other trademarks are the property of their respective owners.

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