> For the complete documentation index, see [llms.txt](https://docs.owkin.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.owkin.com/governance-and-security/model-governance/model-versioning.md). # Model versioning K Pro's performance is fundamentally influenced by the underlying large language model's capabilities, particularly its ability to accurately interpret user questions and execute appropriate tool calls. Industry benchmarks consistently demonstrate that newer LLM versions deliver superior performance on tool-calling tasks, as evidenced by [agent performance leaderboards](https://galileo.ai/blog/agent-leaderboard-v2). #### Model Transitions and Optimization Transitioning between different LLMs or upgrading to newer versions requires careful recalibration of the system. Each model has distinct characteristics that necessitate adjustments in prompting strategies and context engineering to achieve optimal results. Our evaluation automation framework assesses these configurations to ensure that each LLM integration meets K Pro's performance standards. As models evolve and improve, K Pro benefits from enhanced reasoning capabilities, more accurate tool selection, and better interpretation of complex scientific queries—ultimately leading to more reliable and relevant outputs for researchers. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.owkin.com/governance-and-security/model-governance/model-versioning.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.