Kimi K2 Tool Calling on vLLM: A Complete Debugging Guide for 4x Success

Achieving Reliable Tool Calling with Kimi K2 on vLLM: A Comprehensive Debugging Guide If you’ve been working with large language models, you know how exciting agentic workflows can be. The ability for models to call tools reliably opens up possibilities for complex applications, from automated research to advanced coding assistants. Moonshot AI’s Kimi K2 series stands out in this area, with impressive tool calling performance. Naturally, many developers want to run it on high-performance open-source inference engines like vLLM. When I first tried deploying Kimi K2 on vLLM and running the official K2-Vendor-Verifier benchmark, the results were disappointing. The tool …