Open-source proxy enforces LLM agent rules at API layer

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

An open-source proxy has been developed to enforce rules for AI agents at the API level, addressing the limitations of prompt-based guardrails. This tool aims to ensure that AI models adhere to specified guidelines, even when dealing with complex or dynamic contexts. The project has gained traction, reaching 700 stars on GitHub, indicating significant interest from developers building with AI agents. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

RANK_REASON The release of an open-source proxy tool for AI agents falls under the 'tool' category.

Read on Mastodon — sigmoid.social →

COVERAGE [1]

Mastodon — sigmoid.social TIER_1 · [email protected] · 2026-04-26 12:59

🤖 We built an open-source proxy that enforces LLM agent rules at the API layer - 700 GitHub stars Cross-posting here because this problem affects everyone build

🤖 We built an open-source proxy that enforces LLM agent rules at the API layer - 700 GitHub stars Cross-posting here because this problem affects everyone building with AI agents. Prompt-based guardrails fail. The model follows your system prompt in a demo, then ignores rules whe…

LINKS reddit.com/…/we_built_an_opensource_proxy…

COVERAGE [1]

🤖 We built an open-source proxy that enforces LLM agent rules at the API layer - 700 GitHub stars Cross-posting here because this problem affects everyone build

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