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llama.cpp b11112 adds vision to function calling
llama.cpp Releaseshigh confidence
Why it matters
- →Enables true multimodal agent loops by passing images directly into function arguments.
- →Fixes a structural bottleneck that previously broke automated vision-based workflows.
- →Maintains broad hardware support including AMD ROCm and Apple Silicon KleidiAI builds.
The llama.cpp project has released build b11112, introducing support for input_image parameters within function_call_output responses. This update resolves previous limitations where the server could not properly handle visual data in structured tool calls. The release also includes standard maintenance fixes such as spacing corrections and performance optimizations to avoid repeated type lookups. Binary distributions remain consistent with prior versions, supporting CUDA 12/13, ROCm 10.0, and various CPU architectures across macOS, Linux, and Windows.
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