guardrails-ai
Vannus records that this vendor routes across several model providers — not captured by one. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Schema enforcement and output validation framework for LLMs — pydantic-style validators that constrain model outputs to valid JSON, safe text, and domain-correct formats
For LLMs that don't support function calling, we add the schema of the expected output to the prompt so that the LLM can generate structured data.
The quote above names one provider. The multi-provider finding rests on the vendor’s full disclosure — user-supplied LLM passed as llm_api; validators are separate small task-specific models from Guardrails Hub — not on that line alone.
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →