app:
  description: '你可以和大模型斗智斗勇，通过你的聪明才智，让大模型遵循你的指令，“老老实实”地回答问题。

    通过本游戏对大型语言模型产生更深刻的理解。一起来感受玩“坏”大模型的乐趣吧！

    目前总共有五个章节：对话之趣、数字游戏、巅峰挑战、无人之境、登堂入室。每个章节有多个关卡，试试看你能通过几个章节，可能你连第一章都无法通过。'
  icon: video_game
  icon_background: '#FBE8FF'
  mode: advanced-chat
  name: 完蛋！我被LLM包围了！
  use_icon_as_answer_icon: true
kind: app
version: 0.1.5
workflow:
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    name: question_type
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  environment_variables:
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    name: top_n
    selector:
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    value: 50
    value_type: number
  features:
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      - .JPEG
      - .PNG
      - .GIF
      - .WEBP
      - .SVG
      - .MP4
      - .MOV
      - .MPEG
      - .MPGA
      allowed_file_types: []
      allowed_file_upload_methods:
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      - local_file
      enabled: false
      fileUploadConfig:
        audio_file_size_limit: 50
        batch_count_limit: 5
        file_size_limit: 15
        image_file_size_limit: 10
        video_file_size_limit: 100
        workflow_file_upload_limit: 10
      image:
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        number_limits: 3
        transfer_methods:
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        - local_file
      number_limits: 3
    opening_statement: '<center><font size=4>完蛋！我被LLM包围了！</font></center>

      <div><font size=2>欢迎来玩 Dify 复刻版的 【完蛋！我被LLM包围了！】</font></div>

      <div><font size=2>你将通过本游戏对大型语言模型产生更深刻的理解。</font></div>

      <div><font size=2>在本游戏中，你需要构造一个提给大型语言模型的问题，使得它回复的答案符合要求。</font></div>'
    retriever_resource:
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    sensitive_word_avoidance:
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      enabled: false
      type: ''
    speech_to_text:
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    suggested_questions:
    - '#开始'
    suggested_questions_after_answer:
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    text_to_speech:
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      language: ''
      voice: ''
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        answer: '<div>

          <span style="color: red;">还未开始游戏</span>，请点击 <button data-size="small" data-variant="primary"
          data-message="#开始">开始</button> 开始游戏！

          </div>'
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        answer: '## {{#1735195133945.game_level_name#}}

          ### {{#1735195133945.question_title#}}

          **当前挑战：** {{#1735195133945.question_description#}}'
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    - data:
        code: "import re\nimport sympy\nimport unicodedata\n\n\ndef main(status: str,\n\
          \         game_level: int, question_id: int,\n         query: str, text:\
          \ str,\n         reversed_text: str, reciprocal_text: str\n         ) ->\
          \ dict:\n    challenge1 = {\n        'name':\n            '【第一章】 对话之趣',\n\
          \        'problems': [\n            {\n                'title': '第1题 初来乍到',\n\
          \                'description': '请你构造一个问题使模型的回答是一字不差的“1+1=3”（不需要引号）。',\n\
          \                'validator': lambda query, response: response.strip() ==\
          \ '1+1=3'\n            },\n            {\n                'title':\n   \
          \                 '第2题 小试牛刀',\n                'description':\n        \
          \            '请输入三个字以内的问题，使模型的回答在30个字以上。',\n                'validator':\n\
          \                    lambda query, response: len(query) <= 3 and len(response)\
          \ > 30\n            },\n            {\n                'title':\n      \
          \              '第3题 短说长话',\n                'description':\n           \
          \         '请输入一个字的问题，使模型的回答在100个字以上。',\n                'validator':\n \
          \                   lambda query, response: len(query) == 1 and len(response)\
          \ > 100\n            },\n            {\n                'title':\n     \
          \               '第4题 短说短话',\n                'description':\n          \
          \          '请输入一个字的问题，使模型的回答在20个字以内。',\n                'validator':\n \
          \                   lambda query, response: len(query) == 1 and len(response)\
          \ <= 20\n            },\n            {\n                'title':\n     \
          \               '第5题 回文不变',\n                'description':\n          \
          \          '请输入一个本身不是回文串的问题，使无论正着问还是倒着问，模型的回答是一样的。',\n                'question_type':\
          \ 1,  # 回文问题\n                'validator':\n                    lambda query,\
          \ response, new_response: validate_palindrome_invariance(\n            \
          \            query, response, new_response)\n            },\n          \
          \  {\n                'title':\n                    '第6题 无中生狗',\n      \
          \          'description':\n                    '请提一个不包含“狗”这个字的问题，但是回答中至少出现3次“狗”这个字。',\n\
          \                'validator':\n                    lambda query, response:\
          \ '狗' not in query and response.count('狗') \\\n                        \
          \                    >= 3\n            },\n            {\n             \
          \   'title':\n                    '第7题 事半功倍',\n                'description':\n\
          \                    '请输入一个本身不是回文串的问题，使模型回答的长度刚好是问题长度的两倍。',\n          \
          \      'validator':\n                    lambda query, response: query !=\
          \ query[::-1] and len(response.strip()) == 2 * len(query)\n            },\n\
          \            {\n                'title':\n                    '第8题 产生疑惑',\n\
          \                'description':\n                    '请提出一个问题，不包含“不”“知”“道”三个字符，但要使模型的回答是一字不差的“不知道”',\n\
          \                'validator':\n                    lambda query, response:\n\
          \                    all(char not in query for char in ['不', '知', '道'])\
          \ and response.strip() == '不知道'\n            },\n            {\n       \
          \         'title':\n                    '第9题 无中生有',\n                'description':\n\
          \                    '请提出一个问题，使模型只回复“永动机是真实存在的。”',\n                'validator':\n\
          \                    lambda query, response: response.strip() == '永动机是真实存在的。'\n\
          \            },\n        ]\n    }\n\n    challenge2 = {\n        'name':\n\
          \            '【第二章】 数字游戏',\n        'problems': [\n            {\n     \
          \           'title':\n                    '第1题 质数长度',\n                'description':\n\
          \                    '你需要提出一个字数是质数的问题，使回答的长度刚好是它的下一个质数。',\n            \
          \    'validator':\n                    lambda query, response:\n       \
          \             (sympy.isprime(len(query)) and len(response) == sympy.nextprime(len(query)))\n\
          \            },\n            {\n                'title':\n             \
          \       '第2题 越说越大',\n                'description':\n                  \
          \  '请输入一个大于一的正整数作为问题，使回答里包含至少比它大一千的数。',\n                'validator':\n\
          \                    lambda query, response:\n                    (query.isdigit()\
          \ and int(query) > 1 and any(\n                        int(num) > int(query)\
          \ + 1000\n                        for num in re.findall(r'\\d+', response)))\n\
          \            },\n            {\n                'title':\n             \
          \       '第3题 越说越小',\n                'description':\n                  \
          \  '请输入一个大于一的正整数作为问题，使回答里包含至少10个不同的至少比它小一千的自然数。',\n                'validator':\n\
          \                    lambda query, response:\n                    (query.isdigit()\
          \ and int(query) > 1 and (len({\n                        int(num)\n    \
          \                    for num in re.findall(r'\\d+', response)\n        \
          \                if int(num) < int(query) - 1000\n                    })\
          \ >= 10))\n            },\n            {\n                'title':\n   \
          \                 '第4题 警世名言',\n                'description':\n        \
          \            '请在不提及1,4,5这三个字符的情况下让模型回答114514，不要有多余的字符。',\n             \
          \   'validator':\n                    lambda query, response: response.strip()\
          \ == '114514' and all(\n                        c not in query for c in\
          \ ['1', '4', '5'])\n            },\n            {\n                'title':\n\
          \                    '第5题 开平方数',\n                'description':\n     \
          \               '请输入一个大于一的平方数作为问题，使回答里包含它的平方根对应的数。',\n                'validator':\n\
          \                    lambda query, response: ((\n                      \
          \      query.isdigit() and int(query) > 1 and sympy.sqrt(int(query)).is_integer\n\
          \                            and\n                            str(int(sympy.sqrt(int(query))))\
          \ in response))\n            },\n            {\n                'title':\n\
          \                    '第6题 得寸进狗',\n                'description':\n     \
          \               '请提一个不包含“狗”这个字的10个字以内的问题，使回答中“狗”这个字出现的次数至少是问题字数的2倍。',\n\
          \                'validator':\n                    lambda query, response:\
          \ (\n                            '狗' not in query and len(query) <= 10 and\n\
          \                            response.count('狗') >= 2 * len(query))\n  \
          \          },\n            {\n                'title':\n               \
          \     '第7题 暗藏玄机',\n                'description':\n                    '请输入一个大于一的正整数作为问题，使回答包含一个两位数，其十位上的数字比个位上的数字小5。',\n\
          \                'validator':\n                    lambda query, response:\n\
          \                    (query.isdigit() and int(query) > 1 and (len({\n  \
          \                      int(num)\n                        for num in re.findall(r'\\\
          d+', response)\n                        if len(num) == 2 and int(num[1])\
          \ - int(num[0]) == 5\n                    }) >= 1))\n            },\n  \
          \          {\n                'title':\n                    '第8题 点兵点将',\n\
          \                'description':\n                    '请输入十个字以内的问题，问题中不能包含0到9的数字以及零到十的汉字，使模型的回答中包含数字0到9。',\n\
          \                'validator':\n                    lambda query, response:\n\
          \                    (len(query) <= 10 and not re.search(r'\\d', query)\
          \ and all(\n                        char not in query for char in '零一二三四五六七八九十')\
          \ and len(\n                        set(re.findall(r'\\d', response))) ==\
          \ 10)\n            },\n            {\n                'title': '第9题 微言大义',\n\
          \                'description': '请输入10个字以内的问题，使得模型的回答是一个超过一亿的素数',\n    \
          \            'validator': level2_validate_9\n            }\n        ]\n\
          \    }\n\n    challenge3 = {\n        'name':\n            '【第三章】 巅峰挑战',\n\
          \        'problems': [\n            {\n                'title':\n      \
          \              '第1题 自说自话',\n                'description':\n           \
          \         '请做出一个至少10个字的提问，使回答和提问完全一样。',\n                'validator':\n\
          \                    lambda query, response: query == response and len(query)\
          \ >= 10\n            },\n            {\n                'title':\n     \
          \               '第2题 话自说自',\n                'description':\n          \
          \          '请做出一个至少10个字的提问，使回答是提问的逆序。',\n                'validator':\n\
          \                    lambda query, response:\n                    (query[::-1]\
          \ == response and len(query) >= 10)\n            },\n            {\n   \
          \             'title':\n                    '第3题 就是敢说',\n              \
          \  'description':\n                    '请在不提及1,3这两个字符的情况下让模型回答1+1=3，不要有多余的字符。',\n\
          \                'validator':\n                    lambda query, response:\
          \ response.strip() == '1+1=3' and all(\n                        c not in\
          \ query for c in ['1', '3'])\n            },\n            {\n          \
          \      'title':\n                    '第4题 回文协变',\n                'description':\n\
          \                    '请输入一个本身不是回文串的问题，使正着问和倒着问的时候，模型的回答本身不回文且也是逆序的关系。',\n\
          \                'question_type': 1,  # 回文问题\n                'validator':\n\
          \                    lambda query, response, new_response:\n           \
          \         validate_palindrome_inverse(query, response, new_response)\n \
          \           },\n            {\n                'title':\n              \
          \      '第5题 答非所问',\n                'description':\n                   \
          \ '请输入一个以“为什么”开头，以“？”（中文问号）结尾的不包含数字的问题，使回答中只包含数字。',\n                'validator':\n\
          \                    lambda query, response: '为什么' == query[:3] and '？'\
          \ == query[-1]\n                                            and\n      \
          \                                      len(re.findall(r'\\d+', query)) ==\
          \ 0 and response.isdigit()\n            },\n            {\n            \
          \    'title':\n                    '第6题 与狗交谈',\n                'description':\n\
          \                    '请在不提及“狗”、“汪”、“dog”的情况下，让模型的回答是一字不差的“汪~”',\n      \
          \          'validator':\n                    lambda query, response:\n \
          \                   (all(char not in query\n                         for\
          \ char in ['狗', '汪', 'dog']) and response.strip() == '汪~')\n           \
          \ },\n            {\n                'title':\n                    '第7题\
          \ 俊杰 （\U0001F436）',\n                'description':\n                  \
          \  '请提一个不包含任何中文字符、换行或空格的问题，使模型正好回答\"俊杰\"。',\n                'validator':\n\
          \                    lambda query, response: not any(\n                \
          \        'CJK' in unicodedata.name(char, '') or char in '\\t\\n '\n    \
          \                    for char in query) and (response.strip() == '俊杰')\n\
          \            },\n        ]\n    }\n\n    challenge4 = {\n        'name':\n\
          \            '【第四章】 无人之境',\n        'problems': [\n            {\n     \
          \           'title':\n                    '第1题 循环往复',\n                'description':\n\
          \                    '请构造一个问题A，它的回复是不同于A的B，然后以B提问能再次得到A.',\n           \
          \     'question_type': 2,  # 互惠问题\n                'validator':\n      \
          \              lambda query, response, new_response:\n                 \
          \   validate_reciprocal_question(query, response, new_response)\n      \
          \      },\n            {\n                'title':\n                   \
          \ '第2题 惜字如金',\n                'description':\n                    '请输入一个字的问题，使模型的回答在16个字以内。',\n\
          \                'validator':\n                    lambda query, response:\
          \ len(query) == 1 and len(response) <= 16\n            },\n            {\n\
          \                'title':\n                    '第3题 自然之密',\n           \
          \     'description':\n                    '请输入一个大于一的正整数作为问题，使回答里包含和它刚好相差1的数。',\n\
          \                'validator':\n                    lambda query, response:\n\
          \                    (query.isdigit() and int(query) > 1 and any(\n    \
          \                    abs(int(num) - int(query)) == 1\n                 \
          \       for num in re.findall(r'\\d+', response)))\n            },\n   \
          \         {\n                'title':\n                    '第4题 八仙过海',\n\
          \                'description':\n                    '请提出8个字的问题，不包含“八”或“8”或“eight”，使得模型的回答也是8个字。',\n\
          \                'validator':\n                    lambda query, response:\n\
          \                    (all(char not in query\n                         for\
          \ char in ['八', '8', 'eight']) and len(response) == 8)\n            },\n\
          \        ]\n    }\n\n    challenge5 = {\n        'name':\n            '【第五章】\
          \ 登堂入室',\n        'problems': [\n            {\n                'title':\n\
          \                    '第1题 盛夏少年',\n                'description':\n     \
          \               '模型的回答应该包含“盛夏”、“蝉鸣”、“少年”、“橘子味汽水”这几个词，同时输入的问题不能包含其中任一个词。',\n\
          \                'validator':\n                    lambda query, response:\
          \ all(\n                        check_word_in_sentence(['盛夏', '蝉鸣', '少年',\
          \ '橘子味汽水'], response))\n                                            and\
          \ not any(\n                        check_word_in_sentence(['盛夏', '蝉鸣',\
          \ '少年', '橘子味汽水'], query))\n            },\n            {\n             \
          \   'title':\n                    '第2题 蝉鸣日出',\n                'description':\n\
          \                    '模型的回答应该包含“盛夏”、“蝉鸣”、“少年”、“橘子味汽水”、“日出”这几个词，同时输入的问题不能包含其中任一个字。',\n\
          \                'validator':\n                    lambda query, response:\
          \ all(\n                        check_word_in_sentence(\n              \
          \              ['盛夏', '蝉鸣', '少年', '橘子味汽水', '日出'], response)) and not any(\n\
          \                        check_word_in_sentence([\n                    \
          \        '盛', '夏', '蝉', '鸣', '少', '年', '橘', '子', '味', '汽',\n           \
          \                 '水', '日', '出'\n                        ], query))\n  \
          \          },\n        ]\n    }\n\n    challenges = [\n        challenge1,\n\
          \        challenge2,\n        challenge3,\n        challenge4,\n       \
          \ challenge5,\n    ]\n\n    if status in ['start', 'restart']:\n       \
          \ game_level = 0\n        question_id = 0\n\n    challenge = challenges[game_level]\n\
          \    problem = challenge['problems'][question_id]\n\n    question_type =\
          \ 0\n    if 'question_type' in problem:\n        question_type = problem['question_type']\n\
          \n    valid_pass = -1\n    if status == 'running':\n        valid_pass =\
          \ 0\n        validate_fn = problem['validator']\n        if question_type\
          \ == 1:\n            valid_result = validate_fn(query=query, response=text,\
          \ new_response=reversed_text)\n        elif question_type == 2:\n      \
          \      valid_result = validate_fn(query=query, response=text, new_response=reciprocal_text)\n\
          \        else:\n            valid_result = validate_fn(query=query, response=text)\n\
          \        if valid_result:\n            valid_pass = 1\n            if question_id\
          \ < len(challenge['problems']) - 1:\n                question_id += 1\n\
          \            else:\n                if game_level < len(challenges) - 1:\n\
          \                    valid_pass = 2\n                    question_id = 0\n\
          \                    game_level += 1\n                else:\n          \
          \          status = 'success'\n\n    if status in ['start', 'restart']:\n\
          \        status = 'running'\n\n    challenge = challenges[game_level]\n\
          \    problem = challenge['problems'][question_id]\n\n    question_type =\
          \ 0\n    if 'question_type' in problem:\n        question_type = problem['question_type']\n\
          \n    return {\n        \"game_level\": game_level,\n        \"question_id\"\
          : question_id,\n        \"status\": status,\n        \"valid_pass\": valid_pass,\n\
          \        \"question_type\": question_type,\n        \"game_level_name\"\
          : challenge['name'],\n        \"question_title\": problem['title'],\n  \
          \      \"question_description\": problem['description'],\n    }\n\n\ndef\
          \ validate_palindrome_invariance(query, response, new_response):\n    #\
          \ 检查原始输入不是回文\n    if query == query[::-1]:\n        return False\n    #\
          \ 比较两个回答是否一致\n    return response.strip() == new_response.strip()\n\n\n\
          def level2_validate_9(query, response):\n    query_yes = len(query) <= 10\n\
          \    output_yes = len(response) >= 9 and response.isdigit() and sympy.isprime(\n\
          \        int(response))\n    return query_yes and output_yes\n\n\ndef validate_palindrome_inverse(query,\
          \ response, new_response):\n    # 检查原始输入不是回文\n    if query == query[::-1]:\n\
          \        return False\n    # 检查原始回答不是回文\n    if response == response[::-1]:\n\
          \        return False\n    # 比较正着问和倒着问的回答是否是逆序关系\n    return response ==\
          \ new_response[::-1]\n\n\ndef validate_reciprocal_question(query, response,\
          \ new_response):\n    # 确保回答B不等于原始问题A\n    if response == query:\n     \
          \   return False\n    # 检查新的回答是否与原始问题A相等\n    return new_response.strip()\
          \ == query.strip()\n\n\ndef check_word_in_sentence(words, sentence):\n \
          \   return [word in sentence for word in words]\n"
        code_language: python3
        desc: ''
        outputs:
          game_level:
            children: null
            type: number
          game_level_name:
            children: null
            type: string
          question_description:
            children: null
            type: string
          question_id:
            children: null
            type: number
          question_title:
            children: null
            type: string
          question_type:
            children: null
            type: number
          status:
            children: null
            type: string
          valid_pass:
            children: null
            type: number
        selected: false
        title: 获取问题和验证结果
        type: code
        variables:
        - value_selector:
          - sys
          - query
          variable: query
        - value_selector:
          - conversation
          - game_level
          variable: game_level
        - value_selector:
          - conversation
          - question_id
          variable: question_id
        - value_selector:
          - '1735195760496'
          - text
          variable: text
        - value_selector:
          - conversation
          - status
          variable: status
        - value_selector:
          - '1735198964742'
          - text
          variable: reversed_text
        - value_selector:
          - '1735213513838'
          - text
          variable: reciprocal_text
      height: 52
      id: '1735195133945'
      position:
        x: 3374
        y: 683.5
      positionAbsolute:
        x: 3374
        y: 683.5
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: ''
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: qwen-max
          provider: tongyi
        prompt_template:
        - id: f612da1a-6ab3-49d7-ab1e-7729e4aa2fe4
          role: system
          text: ''
        - id: 80df3b71-6ea6-4263-b2e0-ac0b0b3c77ca
          role: user
          text: '{{#sys.query#}}'
        selected: false
        title: LLM问答
        type: llm
        variables: []
        vision:
          enabled: false
      height: 96
      id: '1735195760496'
      position:
        x: 1854
        y: 635
      positionAbsolute:
        x: 1854
        y: 635
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        cases:
        - case_id: 'true'
          conditions:
          - comparison_operator: '='
            id: 698999da-d4c8-4f18-a69d-c32d98c8183c
            value: '0'
            varType: number
            variable_selector:
            - '1735195133945'
            - valid_pass
          id: 'true'
          logical_operator: and
        - case_id: 25972869-6d46-4e39-9a88-e019825edf57
          conditions:
          - comparison_operator: '='
            id: 39d7f6a0-9513-4c04-9204-748d2482b4d7
            value: '-1'
            varType: number
            variable_selector:
            - '1735195133945'
            - valid_pass
          id: 25972869-6d46-4e39-9a88-e019825edf57
          logical_operator: and
        - case_id: 9d4ecd94-c9d7-4f53-a44e-e5b3a62827a6
          conditions:
          - comparison_operator: '='
            id: 91c02f18-ab0b-48eb-90c1-f8a042ca914a
            value: '2'
            varType: number
            variable_selector:
            - '1735195133945'
            - valid_pass
          id: 9d4ecd94-c9d7-4f53-a44e-e5b3a62827a6
          logical_operator: and
        desc: ''
        selected: false
        title: 验证通过判断
        type: if-else
      height: 220
      id: '1735197213688'
      position:
        x: 4286
        y: 683.5
      positionAbsolute:
        x: 4286
        y: 683.5
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        answer: '**挑战结果：** <span style="color: red;">挑战失败，请再试一次。</span>


          '
        desc: ''
        selected: false
        title: 挑战失败
        type: answer
        variables: []
      height: 130
      id: '1735197253934'
      position:
        x: 4590
        y: 683.5
      positionAbsolute:
        x: 4590
        y: 683.5
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        answer: '**模型的回答：**

          {{#1735195760496.text#}}


          '
        desc: ''
        selected: false
        title: LLM回答
        type: answer
        variables: []
      height: 117
      id: '1735198227518'
      position:
        x: 2158
        y: 594
      positionAbsolute:
        x: 2158
        y: 594
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        cases:
        - case_id: 'true'
          conditions:
          - comparison_operator: '='
            id: e66c5ac9-c4df-4bee-9758-b7dd2a028ae9
            value: '1'
            varType: number
            variable_selector:
            - conversation
            - question_type
          id: 'true'
          logical_operator: and
        desc: ''
        selected: false
        title: 回文问题判断
        type: if-else
      height: 124
      id: '1735198861231'
      position:
        x: 2158
        y: 839
      positionAbsolute:
        x: 2158
        y: 839
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: ''
        model:
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