Add local, in-process LLM inference to an existing .NET project with Overfit — no Python, no Ollama, no cloud. Use when the user wants to run a private/local LLM inside their .NET app, load a GGUF model in C#, add chat/RAG/embeddings on the CPU, replace an OpenAI/Ollama/Azure call with an on-device model, or expose a local model as a Microsoft.Extensions.AI IChatClient. For a brand-new app, prefer the dotnet new overfit-chat template instead.
How to install overfit-add-llm?
devonbike/overfit/overfit-add-llm
$npx -y skills add devonbike/overfit --skill overfit-add-llmInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/devonbike/overfit" --skill "devonbike/overfit/overfit-add-llm"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/devonbike/overfit" that are relevant to the current task. Run `npx skills add "https://github.com/devonbike/overfit"` and select the relevant skills, then follow their instructions.
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