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Project updates, releases, and experiments.

  • October 11 - v0.1.0: give your LLM / MLLM Jev-style decision capabilities with zero training. Supports SGLang, Transformers, and MLX, with a Python client that extends the OpenAI SDK.
  • October 8 - Valen Sokoban evaluation: added a visual Sokoban demo and single-step action evaluation based on Valen.
  • September 26 - JevBench evaluation: LLM2Jev accuracy and latency on 231 public items; P50 latency is below one tenth of the Jev official result.
  • September 23 - MLX backend: added text and image scoring, candidate batching, bounded prefix reuse, and a compatible System One HTTP service.
  • September 22 - Multimodal inputs: added text-and-image requests for SGLang, Transformers, and the System One HTTP API.
  • September 21 - Web and Snake demos: added interactive examples for composing mixed questions and model-driven decisions.
  • September 21 - Prefix reuse on cold requests: added staged candidate submission for reusing SGLang's Radix Cache, with architecture, usage, and benchmark documentation.
  • September 20 - SGLang and System One API: added the SGLang scoring backend and a compatible POST /v1/systemone endpoint.

Independent open source. Not affiliated with Jev or TypeSafe.