AI product Open source
reflex is an open-source local decision model for classifying tickets, documents, photos, and other state against typed questions with fixed answer choices. It runs the state through an open-weights model in one forward pass, branches each question independently, reads only the answer-label scores rather than generating free text, and returns probabilities for yes/no, choice, or ordered-score questions. It can read each question in multiple option orders and average the results to reduce position bias; optional temperature calibration adjusts confidence estimates for a target workload. The project provides a Python engine, an HTTP endpoint at /v1/systemone, GPU and Apple Silicon execution, an SGLang backend, a WebGPU browser demonstration, and optional LoRA training and distillation tools. The default serving configuration uses a frozen Qwen checkpoint, and the repository is licensed under MIT; model weights have their own licenses.
1 use taken from transcripts — each links to the moment in the video.
A local decision model for classifying tickets, documents, or photos against fixed answer choices. It returns probabilities in one pass and varies option order to reduce position bias.
1 in the library.