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v0.7.0 — Decision Lab, verified against Ollama 0.40.3

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@LogneBudo LogneBudo released this 11 Oct 20:19
· 1 commit to master since this release
v0.7.0
3fd11a2

Verified against Ollama 0.40.3 (October 2026). Everything LLMxRay reads is unchanged since 0.33.3; the recommended floor stays 0.33.3.

Added

  • Decision Lab: ask Ollama's decision models (nimble, tev1, clef, clef-flash) typed questions and see the probability behind every answer, drawn as bars. Choice, yes/no probability, and score on an ordered scale, on /v1/systemone.
  • Protocol Observatory: prefill time, the daemon-stated prefill rate and the rate over evaluated tokens, side by side. The OpenAI-compatible timings.prompt_per_second (Ollama 0.35.1+) is inflated by the cache hit ratio; the cell turns amber when it disagrees with the honest figure from the same chunk.
  • Runner shown on models, running models and new benchmark results (Ollama 0.40), so the same model on llama.cpp and MLX can be told apart.
  • Removal of the backups Ollama 0.40.2 keeps after upgrading a model, from the Models tab.
  • Guide for the Decision Lab in English, French and Chinese; Decision category in the model catalog.

Fixed

  • Decision models no longer appear in the chat or embedding selectors.
  • A model listed once per runner no longer appears twice.

Changed

  • The Thinking control offers the levels a model advertises via /api/show (Ollama 0.34.3+), with the legacy Low / Medium / High / Max names otherwise.
  • READMEs in five languages and the docs state the Ollama version actually probed.
npx llmxray

docker pull djovaneli/llmxray:0.7.0
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