Strot

What is Strot

Strot is an open-source project that compiles an LLM's intent once and then runs decisions locally.

Key features

• Compiles an LLM intent once to generate a decision model that can run locally
• Supports type-safe JSON output for classification, scoring, routing and similar tasks, including probabilities and confidence scores
• Runs decisions on local hardware at zero marginal cost, with no runtime LLM calls required
• Provides a run() interface to route records and execute compiled handlers
• Provides a decide() interface to answer boolean, score or multiple-choice questions from records

Who it is for

For developers who need to classify, score or route large numbers of records, and engineers who want to run fixed-intent decisions efficiently on local hardware.

How to get started

1. Install the package with pip install strot-ai
2. In Python code, call strot.run() or strot.decide() and pass in records, queries or question definitions
3. Use an LLM to generate the decision model during the compilation phase, then reuse it locally

Compiled from public descriptions on the tool's official website / README / launch page. Pricing and user numbers have not been verified; please check the official website. Some sections were drafted with AI assistance. Written in Chinese and English; other languages are machine-translated.