fbc-cache-lint is an open-source command-line tool that provides GPU-free linting and validation of inference cache logs for vLLM and llama.cpp engines. It helps machine learning engineers ensure cache correctness and observability in large language model deployments. The tool supports cross-engine analysis and is suitable for teams working with LLM infrastructure.
In the LLM eval & observability space, fbc-cache-lint takes a focused approach. It focuses on validating and linting inference cache logs for large language model engines without requiring a GPU. fbc-cache-lint is an open-source project aimed at machine learning engineers. The project is open source (Apache-2.0). fbc-cache-lint is available on the command line.
It is developed by the10kclub, and the product first shipped in 2026. Across PulseGate's embedding index, fbc-cache-lint has few near neighbours, marking it as relatively distinct. Among its 8 catalogued features are cache linting, cross-engine support, and GPU-free operation.
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