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Strands Decider

Strands Decider is a small decision model for agentic AI workflows, developed for use with the Strands Agents SDK. It selects among options, answers yes/no questions, or scores inputs against an ordered rubric, returning a calibrated confidence value for each decision. These capabilities support tasks such as model routing, tool selection, argument checking, triage, guardrail checks, and evaluation.

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Overview

The model uses a pretrained decoder LLM torso with its language-modeling head replaced by a pointer head. The head compares hidden states at the answer position and at each option's final token, scoring all options in one forward pass without text generation or a decoding loop. The same masked-softmax design supports its choice, noul, and score question types. The repository includes a command-line interface, a local HTTP server, an example that gates a Strands agent's tool call, and optional image inputs through a vision mode.

It can run on CUDA, Apple silicon through MLX or MPS, and CPU. The project is distributed under the Apache License 2.0 and can be installed with pip.

What Strands Decider is used for

1 use taken from transcripts — each links to the moment in the video.

  • Handles small decisions made by AI agents, such as tool selection, request routing, and whether an answer needs another check. It returns a choice and confidence score and can run locally with examples for integration into an agent.

Videos mentioning Strands Decider

1 in the library.