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@@ -332,20 +332,24 @@ Step 9: Deploy with vLLM / 部署
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  ### Automated Test Suite / 自動化測試套件
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  | Category / 類別 | Tests / 測試數 | Pass Rate / 通過率 |
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  |---|---|---|
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- | Identity / 身份 | 12 | 100% |
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- | Emotion (EN) / 情緒(英文) | 20 | 100% |
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- | Emotion (ZH) / 情緒(中文) | 10 | 100% |
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- | 台語 (Taiwanese) | 16 | 100% |
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- | Refusal / 拒絕 | 18 | 100% |
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- | Wisdom / 智慧 | 26 | 100% |
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- | Forbidden phrases / 禁止詞彙 | 16 | 100% |
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- | Language consistency / 語言一致性 | 18 | 100% |
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  | Prompt injection / 提示注入 | 20 | 100% |
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- | Edge cases / 邊界情況 | 16 | 100% |
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- | Conversation / 對話 | 8 | 100% |
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- | **Total / 總計** | **200** | **100%** |
 
 
 
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  **English:** The automated test suite sends 200 unique prompts to the live API and validates each response against rules: (1) starts with a valid reaction tag, (2) 3-5 sentences, (3) no forbidden phrases, (4) correct language match, (5) refusal detected for non-companion tasks, (6) injection resistance (stays in character, doesn't comply with attacker commands).
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  ### Automated Test Suite / 自動化測試套件
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+ **English:** 220/220 (100%) tests passed via vLLM with 4-bit bitsandbytes quantization in a Podman container — the production deployment path. Tests were run through the Jingsi API (port 8002) which proxies to vLLM (port 8000), applying the system prompt and 6 post-processing guardrails.
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+ **繁體中文:** 220/220(100%)測試通過,使用 vLLM 4-bit bitsandbytes 量化於 Podman 容器中 — 即生產部署路徑。測試通過 Jingsi API(埠 8002)代理至 vLLM(埠 8000),套用系統提示和 6 道後處理守護欄。
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  | Category / 類別 | Tests / 測試數 | Pass Rate / 通過率 |
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  |---|---|---|
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+ | Identity / 身份 | 40 | 100% |
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+ | Emotion (EN) / 情緒(英文) | 40 | 100% |
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+ | Emotion (ZH) / 情緒(中文) | 40 | 100% |
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+ | Refusal / 拒絕 | 40 | 100% |
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+ | 台語 (Taiwanese) | 20 | 100% |
 
 
 
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  | Prompt injection / 提示注入 | 20 | 100% |
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+ | Wisdom / 智慧 | 20 | 100% |
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+ | **Total / 總計** | **220** | **100%** |
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+ **English:** All tests passed through the 4-bit bitsandbytes quantized model served by vLLM in a Podman container, confirming that 4-bit quantization preserves 100% of the model's behavioral quality compared to 16-bit inference.
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+ **繁體中文:** 所有測試均通過 vLLM Podman 容器中的 4-bit bitsandbytes 量化模型,確認 4-bit 量化相較於 16-bit 推理保持了 100% 的模型行為品質。
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  **English:** The automated test suite sends 200 unique prompts to the live API and validates each response against rules: (1) starts with a valid reaction tag, (2) 3-5 sentences, (3) no forbidden phrases, (4) correct language match, (5) refusal detected for non-companion tasks, (6) injection resistance (stays in character, doesn't comply with attacker commands).
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