feat(demo): Docker demo with 6 attack scenarios - #67
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Sentence-transformer: 20/47 attacks caught, 0 false positives. TF-IDF: 12/47, 1 false positive. 67% more attacks, zero noise.
Single container runs Go sidecar + Python agent. Six scenarios across all four hooks including a paraphrased injection caught only by the semantic scanner. Sentence-transformer model pre-downloaded so first run is instant. docker compose up and see ALLOW/SANITISE/BLOCK in under 2 minutes.
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Clone-and-run demo. One command, six scenarios across all four hooks.
Quick start
cd demo docker compose up --buildWhat it shows
Scenario 3 has zero lexical overlap with any pattern in the library. The sentence-transformer backend catches it by meaning alone.
How it works
Single container, two processes. Go sidecar starts first, Python agent waits for the socket, runs six scenarios through the SDK. Model pre-downloaded in the image so first run is instant.
Colored output with per-scenario timing and summary table.
Timing
Total across 6 scenarios: ~87ms. Individual calls: 6-28ms.