Kimi K2.5 Release: The Open-Source Visual Agentic Intelligence Revolution This article addresses the core question: What substantive technical breakthroughs does Kimi K2.5 introduce over its predecessor, and how do its visual understanding, coding capabilities, and new Agent Swarm paradigm alter the landscape of complex task solving? Moonshot AI has officially released Kimi K2.5, marking not just an iterative update but a fundamental reshaping of architectural and capability boundaries. As the most powerful open-source model to date, Kimi K2.5 builds upon the foundation of Kimi K2 through continued pre-training on approximately 15 trillion mixed visual and text tokens. This release establishes …
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 …