Tootfinder

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
Stephen Mell, Botong Zhang, David Mell, Shuo Li, Ramya Ramalingam, Nathan Yu, Steve Zdancewic, Osbert Bastani
https://arxiv.org/abs/2506.12202

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
Modern large language models (LLMs) are often deployed as agents, calling external tools adaptively to solve tasks. Rather than directly calling tools, it can be more effective for LLMs to write code to perform the tool calls, enabling them to automatically generate complex control flow such as conditionals and loops. Such code actions are typically provided as Python code, since LLMs are quite proficient at it; however, Python may not be the ideal language due to limited built-in support for p…

pylimer-tools: A Python Package for Generating and Analyzing Bead-Spring Polymer Networks
Tim Bernhard, Fabian Schwarz, Andrei A. Gusev
https://arxiv.org/abs/2508.11509 https://…

pylimer-tools: A Python Package for Generating and Analyzing Bead-Spring Polymer Networks
The Python package pylimer-tools is a comprehensive toolkit for computational studies of polymer networks, particularly bead-spring networks. The package provides functionality to generate polymer networks using Monte Carlo (MC) procedures and analyze their structural and mechanical properties. Key features include detection of loops, reduction of the network to its ground state energy both with and without entanglements by the Force Balance procedure, and thereafter computing the soluble and d…