The race to make AI agents cheaper and faster is moving beyond the models that write their answers. In the two weeks since TypeSafe AI introduced Jev, a model that chooses among predefined options instead of generating prose, developers have released a rush of competing decision models, many with downloadable weights.
Now, Amazon is joining them with an open model designed to sit inside an agent’s workflow and decide whether a proposed action should proceed: Strands Decider 2B, a roughly 2-billion-parameter model fine-tuned from an Alibaba Qwen base that answers bounded questions with choices and probabilities in a single pass.
The open source model is free to download from Hugging Face and use under an enterprise-friendly, permissive Apache 2.0 license, though developers must supply the hardware or cloud computing resources to run it.
Amazon says they can also download its training materials and use the model to route requests, select tools, evaluate outputs or review an agent’s…
