Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments

ArXi:2601.19914v2 Announce Type: replace-cross Synthetic data has proven itself to be a valuable resource for tuning smaller, cost-effective language models to handle the complexities of multi-turn tool calling conversations. While many frameworks and systems for producing synthetic multi-turn tool calling data have been proposed, prior works have frequently assumed that any tool calling interactions will take place in an execution environment that maintains state.