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Credo: Declarative Control of LLM Pipelines via Beliefs and Policies

ArXiv CS.AI
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“Researchers introduce Credo, a declarative approach to controlling LLM pipelines using beliefs and policies rather than imperative code. This addresses a critical gap in agentic AI systems by making agent decision-making more transparent, auditable, and adaptable to new evidence—essential for deploying long-lived AI agents in real-world applications where correctness and explainability are paramount.”

New framework makes AI agent behavior transparent and controllable through declarative policies.

Part of the 17 April 2026 AI news digest

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