
Developed LLM inference support for llama.cpp within the jdx/mise repository, focusing on enabling C/C++-based inference workflows through a dedicated configuration file and backend versioning groundwork. The work introduced a test command to verify installation, ensuring reliable onboarding for users integrating llama.cpp as a backend. Leveraging skills in C/C++, configuration management, and TOML, the implementation registered the llama.cpp backend in the project’s registry and established a test workflow to validate deployments. This foundation supports broader experimentation with llama.cpp and paves the way for multi-backend management, enhancing deployment flexibility and performance tuning for diverse inference environments in future iterations.
April 2026 — JDX Mise: Delivered LLM Inference Support for llama.cpp (C/C++) and established backend versioning groundwork. This month focused on enabling C/C++-based LLM inference via a dedicated configuration, plus a test command to verify installation and a registry entry to track the llama.cpp backend. The work lays the foundation for broader llama.cpp experimentation and more flexible backend management, aligning with product goals to support diverse inference environments.
April 2026 — JDX Mise: Delivered LLM Inference Support for llama.cpp (C/C++) and established backend versioning groundwork. This month focused on enabling C/C++-based LLM inference via a dedicated configuration, plus a test command to verify installation and a registry entry to track the llama.cpp backend. The work lays the foundation for broader llama.cpp experimentation and more flexible backend management, aligning with product goals to support diverse inference environments.

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