Fixing Tool-Call Accuracy in vLLM

Tool-call accuracy is critical for serving open-weight models, as inaccurate tool calls cause models to build on nonsensical context and produce low-quality results, especially in agentic workloads with multi-turn sessions. Ubicloud's engineering team addresses this problem in vLLM, explaining why open-weight model results often fall short of their published benchmarks when deployed through inference services.