Guardrails Phi stops silent errors before they ship. It enforces rules on large language model prompts and completions, catching unsafe, invalid, or incomplete responses in real time. With Guardrails Phi, you declare validation logic once, and it runs against every interaction—no partial checks, no overlooked edge cases.
At its core, Guardrails Phi is a runtime and framework for building safe, predictable generative AI apps. It defines contracts between your application and the LLM. These contracts specify structure, data types, and exact constraints. On each request, Guardrails Phi validates the output before your app accepts it, ensuring the response fully complies. This prevents malformed JSON, hallucinated data, and prompt injection exploits from ever reaching production.
Integration is straightforward. Install Guardrails Phi as a package, write your rail spec in JSON or Python, and bind it to your existing LLM workflow. It works with any model—OpenAI, Anthropic, Azure, or local. You can chain multiple validators, enforce custom formats, or require ground-truth lookups. Guardrails Phi also logs and reports all failures, giving visibility into exactly where and why the LLM broke the rules.