Show HN: Limits – Control layer for AI agents that take real actions (limits.dev)

A new tool called "Limits" has been introduced, designed as a control layer for AI agents that ensures actions taken by these agents comply with predefined business rules and safety protocols. The framework allows developers to implement deterministic policies that intercept AI actions before they are executed, checking outputs for compliance with safety measures, validating against user roles, and safeguarding against unsafe content. Key functions like `limits.check()`, `limits.evaluate()`, and `limits.guard()` provide structured access controls, validation of AI-generated responses, and safety net features for detecting issues like PII or toxicity. This innovation is significant for the AI/ML community as it addresses the critical need for safety and compliance in AI applications, especially in environments with high stakes, such as finance and healthcare. By allowing developers to define rules once and enforce them everywhere, Limits streamlines compliance workflows and enhances accountability through a comprehensive audit trail. Its architecture supports rapid evaluations and human oversight for flagged actions, ensuring that AI systems remain trustworthy and aligned with business objectives while extending the capabilities of developers working with LLMs and other AI agents.