New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot

Introduces expanded model support for time-series anomaly detection and forecasting with IBM Granite models (TTM, FlowState, PatchTST-FM) and Google TimesFM model, callable directly in Flink SQL via AI_FORECAST and AI_DETECT_ANOMALIES functions. Enhances the Real-Time Context Engine with user-facing metrics for usage, performance, health, and cost visibility. Adds lightning queries (Early Access) for low-latency REST API access to live state. Updates the fully managed MCP server with write tools for connector restart and update connector configuration, and Flink tools for creating and managing Flink SQL. Introduces new open-source Agent Skills for MSK migration, Java Kafka producer/consumer, Flink UDFs, and a Confluent Skill creator. Launches Confluent Copilot for Confluent Cloud (Early Access) for a hosted, natural-language experience.