Feat/prescale run#4
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Replace the old API-driven commands (predict/detect/recommend/status/ agent/config) with a single self-contained command: prescale run <url>. Ramp virtual users against a URL with an httpx + asyncio engine, capture latency percentiles and error kinds per level, detect the error-onset point (error rate or p95 latency wall), and print a plain-English readiness verdict with a v0 bottleneck hint. Includes a basic safety gate (--i-own-this + confirm for non-local hosts). Zero new dependencies. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Remove the multi-cloud / Kubernetes platform now that PreScale is a single-purpose load-test CLI: ml/ (forecasting + dashboard), infra/, charts/, agent/, landing-page/, examples/, scripts/, docs/, and all GCP/Helm/Render/CloudBuild configs, plus stray artifacts. Depivot packaging and CI to the load-test thesis: slim CI to lint + test the CLI across Py 3.10-3.12, reduce release.yml to a PyPI trusted publish, and update both pyproject files (name, description, keywords, deps). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Replace the old platform docs (ML / multi-cloud / dashboard / Helm) with docs for `prescale run`: what it does, install, usage, options, how it works, a safety note, and an honest roadmap. Covers both the root README and the CLI package long description. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Looks good. Let's merge.