chore: sync latest backend updates to HF Space

feat: initialize backend for Hugging Face Spaces

feat: initialize backend for Hugging Face deployment (by antigravity)

feat: production-ready hybrid backend with dynamic model discovery and robust key verification

feat: final production backend with dynamic model discovery and stable health checks

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feat: initial deploy of hybrid AI engine (Gemini 1.5 + Qwen) with fixed requirements

feat: initial deploy of clarity hybrid backend with gemini and qwen support

perf: switch to transformers library and native pytorch model for optimized inference

perf: switch to 0.5B model for maximum responsiveness on CPU

perf: switch to 1.5B Q2_K quantization for lowest possible latency on CPU

perf: switch to Qwen 2.5 Coder 1.5B for ultra-fast inference on 2 vCPU hardware

feat: switch to Qwen 2.5 Coder 3B model for faster inference and offline compatibility

fix: install libgomp1 runtime dependency for OpenMP support in final Docker stage

fix: resolve libc.musl error by compiling llama-cpp-python from source in builder stage

fix: optimize backend Dockerfile with multi-stage build and pre-built wheels

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feat: initial deploy of Clarity backend using Transformers and Qwen 2.5 Coder 3B

Update model context

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initial commit