Blue Streams: Orchestrating Work
Stream processing is a key ingredient when making “agentic workflows” enterprise-ready. Streams support a wide range of workflows and support complexity while at the same time bringing about the right abstractions and scope for facilitating accuracy, scalability, and ease of use.
Blue: Designing “Agentic for Enterprise”
How can enterprise systems evolve to support agentic workflows? In this post, we explore the conceptual foundations of Blue—a framework designed to integrate AI agents, data, and services into scalable, observable, and controllable enterprise applications.
Blue v0.9: “Agentic” for the Enterprise!
We present Blue v0.9, our open-source framework for building and deploying agentic workflows in enterprise environments. Unlike conventional AI frameworks, Blue is designed with enterprise-scale requirements in mind—scalability, observability, configurability, and seamless integration with existing infrastructure.
Optimizing Compound AI Systems
We echo through this blog that the optimization framework for compound AI systems should achieve broader goals such as multi-objective (accuracy, cost, latency, etc.), multi-plan optimization and also handling constraints, especially the budget. Again, these optimization goals are not comprehensive by far but are important for enterprise scenarios.
