Lizard inference engineering: Chat metrics should be scoped to the active provider
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Inference Engineering · Day 27 · Morning
A performance history loses meaning when different engines share one average.
Lizard records the runtime provider on every turn and exposes per-provider summaries in Chat. That keeps lizard-native, Caterpillar, llama.cpp, and Ollama histories separate when the user compares median, best, and latest behavior.
The metric should follow the engine that actually served the answer.
Would you notice if your chat application switched runtimes halfway through a test?
Engineering fact: Lizard's workspace Chat groups native turn history by runtime provider so lizard-native, Caterpillar, llama.cpp, and Ollama results are not merged into one misleading average.
#LizardNative #LizardLLM #LocalAI #GGUF #InferenceEngineering
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