TensorSharp vs TokenPath

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

One API to ground every generated token in its source, for output from any model. TokenPath measures attention directly, not the LLM's self-report, to return...

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.

About TokenPath

One API to ground every generated token in its source, for output from any model. TokenPath measures attention directly, not the LLM's self-report, to return machine-readable, token-level citations your product can act on. You get back a list of attributions: each attribution is an answer span, the corresponding document span, and how confident the match is, enough to highlight it, cite it, or log it in a few lines. For the advanced raw token-by-token map, use /v1/attributions/heatmap .