> ## Documentation Index
> Fetch the complete documentation index at: https://docs.seekr.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Release notes 2026

> What shipped in SeekrGuard, by date.

<Update label="August 31, 2026" tags={["Launch"]}>
  ## SeekrGuard is available

  Evaluate the safety, quality, and risk of models against data you provide, scored with criteria you define.

  Register models from OpenAI or Seekr, upload datasets from a file, HuggingFace, or Seekr, and score outputs with the evaluator library or your own LLM-as-a-Judge evaluators. Run examinations across all or part of a dataset, compare a single response across judge models, or chat with a model and score its answers inline. Weight risk categories into a risk profile to turn those scores into a risk rating per model.

  See [What is SeekrGuard](/guard/what-is-seekrguard).
</Update>