Confluent Cloud Q4 2025: Data in Motion for AI
Oct 29, 2025Hannah Miao
Summary
Introduces Phase 2 of Streaming Agents with Agent Definition (open preview) for simplified agent building and dynamic, iterative tool calling, and Observability and Debugging (open preview) for capturing agent interactions in an immutable log for visibility, auditability, and faster iteration. Also launches Real-Time Context Engine (early access) as a managed serving layer to materialize streaming data into a low-latency cache for AI applications, abstracting Kafka/Flink complexity and ensuring data consistency with automatic reprocessing. Python UDFs for Apache Flink are now in early access on AWS, expanding the language support for stream processing logic.
More from the Real-time Enterprise RAG trail
- Building an Agentic SOC on a Stream
- Hemut: Building the Internet of Freight on Real-Time Data
- New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
- Customer Intelligence Hub for Real-Time GTM Insights
- RAG and GenAI for Customer 360 Architecture