Reasoning at Scale: LLM Integration and Agentic Workflows in Wolfram Language

Large language models (LLMs) are rapidly becoming essential tools for research and development. This session presents an overview of Wolfram Language's LLM integration framework, showing how LLM functions, external model connections and structured tool-calling workflows can be used in practice. We also highlight recent developments enabling complex, multistep reasoning chains that blend LLM output with symbolic computation.