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 records, from the vendor's own published documents, the legal entity a customer contracts with, the country that entity sits in, and the governing law of its terms — and whether the vendor runs its own model or resells someone else's. Each finding is quoted to its source and dated, or marked not disclosed where the vendor publishes nothing. No paid placements — affiliate status is walled off from the record, enforced by a test in the build. See the methodology →