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cs.AI2026
Credo: Reusable Declarative Primitives for Agentic Workflows
Duo Lu, Andrew Crotty, Uğur Çetintemel
An LLM application depends on both a model and a harness: the program that determines what each call sees, how many calls to make, and which answers to trust. Coding agents can now…
cs.AI2026
Declarative Data Services: Structured Agentic Discovery for Composing Data Systems
Shanshan Ye, Duo Lu
Agentic discovery has shown that LLM-driven search can find novel algorithms, designs, and code under benchmark conditions. Translating the paradigm to multi-system data backends s…
cs.AI2026
Credo: Declarative Control of LLM Pipelines via Beliefs and Policies
Duo Lu, Andrew Crotty, Uğur Çetintemel
Agentic AI systems are becoming commonplace in domains that require long-lived, stateful decision-making in continuously evolving conditions. As such, correctness depends not only…