Community project / Client libraries and integrations

grounded-ai

MIT Python evaluation library whose JevEvaluator asks hosted Jev or a local Strands Decider Noul, Choice, and Score questions, and whose CascadeEvaluator keeps confident answers and sends the rest to an LLM judge (OpenAI, Anthropic, Bedrock, or Hugging Face). Hosted mode sends inputs to TypeSafe; escalated questions go to the judge's provider even when the first judge is local. Its tool-call benchmark has 200 items labelled by another model's choices.

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