pip install "mcp>=1.2" httpx

claude mcp add ai-to-agent-jev-mcp \
  --env TYPESAFE_API_KEY=sk-your-key-here \
  -- python3 /絕對路徑/ai-to-agent-jev-mcp/jev_mcp_server.py

{
  "mcpServers": {
    "ai-to-agent-jev-mcp": {
      "command": "python3",
      "args": ["/絕對路徑/ai-to-agent-jev-mcp/jev_mcp_server.py"],
      "env": {
        "TYPESAFE_API_KEY": "sk-your-key-here"
      }
    }
  }
}

# 真偽判斷：單一 yes/no 問題
result = await jev_noul(
    state="空腹血糖 186 mg/dL",
    question="這個數值是否需要立即通知照護者？",
    criteria={
        "true": "明顯超出安全範圍，需立即處理",
        "false": "在可控範圍內，例行追蹤"
    }
)
# result = {"noul": 0.92, "confidence": 0.88}

# 分流選擇：固定選項中擇一
route = await jev_choice(
    state="患者 BMI 28，無共病，願意配合運動",
    question="該推薦哪種減重方案？",
    criteria={
        "輕運動+飲食調整": "BMI 在健康邊緣、無共病",
        "醫療介入": "BMI > 30 或有共病風險",
        "暫不介入": "患者未表達需求或條件不足"
    }
)
# route = {"choice": "輕運動+飲食調整", "confidence": 0.91, "probabilities": {...}}

# 評分判斷：沿評分階梯打分
score = await jev_score(
    state="短影音開場三秒未曾出現主人公，背景音樂偏低調",
    question="這支短影音的開場鉤子強度？",
    criteria=["平淡", "普通", "有吸引力", "非常抓人"]
)
# score = {"score": 1.5, "level": "普通", "confidence": 0.75}

# 批次決策（官方建議）：一次問多題
answers = await jev_ask(
    state="患者血糖資料：空腹 186、餐後 240、連續三天；症狀：疲倦、夜間頻尿",
    questions={
        "需通知照護者": {
            "type": "noul",
            "instructions": "這組數據是否需要立即通知？",
            "criteria": {"true": "明顯超出且持續", "false": "可控範圍"}
        },
        "處理路徑": {
            "type": "choice",
            "instructions": "應走哪條處理路徑？",
            "criteria": {"自動推播": "...", "人工跟進": "...", "就醫轉介": "..."}
        },
        "風險程度": {
            "type": "score",
            "instructions": "整體風險有多高？",
            "criteria": ["控制良好", "需留意", "控制不佳", "立即介入"]
        }
    }
)
# answers = {
#   "需通知照護者": {"noul": 0.92, "confidence": 0.88},
#   "處理路徑": {"choice": "就醫轉介", "confidence": 0.85, ...},
#   "風險程度": {"score": 3.2, "level": "立即介入", "confidence": 0.90}
# }

ans = await jev_choice(...)

if ans["confidence"] < 0.6:
    # 信心不足，不要直接自動執行
    hand_off_to_human_or_llm()
else:
    # 信心足夠，直接依選擇分流
    execute(ans["choice"])

{
  "state": "空腹 186 mg/dL，餐後兩小時 240 mg/dL，連續三天。患者回報最近容易疲倦、夜間頻尿。",
  "questions": {
    "需通知照護者": {
      "type": "noul",
      "instructions": "這組數據是否需要立即通知照護者或衛教師？",
      "criteria": {
        "true": "數值明顯超出安全範圍且持續，或伴隨警示症狀",
        "false": "在可控範圍內，例行追蹤即可"
      }
    },
    "處理路徑": {
      "type": "choice",
      "instructions": "這個個案該走哪條處理路徑？",
      "criteria": {
        "自動衛教推播": "推送既有衛教內容即可",
        "衛教師跟進": "需要人工聯繫了解狀況",
        "建議就醫": "超出衛教範圍，應轉介醫療"
      }
    },
    "風險程度": {
      "type": "score",
      "instructions": "整體血糖控制風險有多高？",
      "criteria": ["控制良好", "需留意", "控制不佳", "需立即介入"]
    }
  }
}

if ans["需通知照護者"]["noul"] > 0.8:
    notify_caregiver()

if ans["處理路徑"]["confidence"] < 0.6:
    escalate_to_human()          # 信心不足，不要自動決定
else:
    route(ans["處理路徑"]["choice"])

if ans["風險程度"]["score"] >= 2.5:
    flag_for_review()

{
  "state": "<腳本草稿全文>",
  "questions": {
    "風格模板": {
      "type": "choice",
      "instructions": "這支短影音該套用哪個風格模板？",
      "criteria": {
        "CGM衛教版": "專業醫療衛教口吻，重數據與實證",
        "AI導師版": "創業經營乾貨，重方法論與案例",
        "跨界融合版": "串接健康與商管，重觀點與洞察"
      }
    },
    "開場鉤子強度": {
      "type": "score",
      "instructions": "前三秒的鉤子抓不抓得住人？",
      "criteria": ["平淡", "普通", "有吸引力", "非常抓人"]
    },
    "有無醫療宣稱風險": {
      "type": "noul",
      "instructions": "腳本中是否出現可能觸法的療效宣稱？",
      "criteria": {
        "true": "有明示或暗示治療、療效、預防疾病的說法",
        "false": "僅描述知識、經驗或一般性健康概念"
      }
    }
  }
}

{
  "state": {
    "訂位人數": 12,
    "時段": "週六 18:00",
    "備註": "兩隻狗對雞肉過敏，另有一隻大型犬需要無障礙走道",
    "是否包廂": true
  },
  "questions": {
    "需人工確認": {
      "type": "noul",
      "instructions": "這筆訂單是否需要人工致電確認？",
      "criteria": {
        "true": "有特殊餐飲需求、動線需求，或超出標準流程",
        "false": "標準訂位，系統自動確認即可"
      }
    },
    "處理優先度": {
      "type": "score",
      "instructions": "這筆訂單的處理優先度？",
      "criteria": ["照常排入", "當日留意", "需立即處理"]
    },
    "備註類型": {
      "type": "choice",
      "instructions": "備註主要屬於哪一類需求？",
      "criteria": {
        "飲食限制": "過敏、忌口、特殊餐食",
        "空間需求": "無障礙、大型犬、包廂配置",
        "混合需求": "同時涉及飲食與空間",
        "無特殊需求": "一般備註"
      }
    }
  }
}

if answer["confidence"] < THRESHOLD:
    hand_off_to_llm_or_human()
else:
    act_on(answer["choice"])

python3 test_offline.py