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Add scripts/benchmark_local_models.py — tests all local Ollama models against the 50 tok/s UX threshold (configurable via --threshold). Features: - Auto-discovers all pulled Ollama models or test specific ones - Configurable rounds, max tokens, threshold - Per-round timing with prompt_eval/eval token breakdown - Human-readable table report with PASS/FAIL/ERROR status - JSON output mode (--json) for CI integration - Exit code 1 if any model fails threshold Usage: python3 scripts/benchmark_local_models.py # all models, 3 rounds python3 scripts/benchmark_local_models.py --models qwen2.5:7b # single model python3 scripts/benchmark_local_models.py --json # CI output python3 scripts/benchmark_local_models.py --threshold 30 # custom threshold Tested: gemma3:1b scores 141.8 tok/s (PASS). Closes #287