diff --git a/DSL/完蛋!我被LLM包围了! .yml b/DSL/完蛋!我被LLM包围了! .yml new file mode 100644 index 0000000..3bb0293 --- /dev/null +++ b/DSL/完蛋!我被LLM包围了! .yml @@ -0,0 +1,1729 @@ +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: + conversation_variables: + - description: 问题类型,0:普通问题,1:回文问题,2:互惠问题 + id: 025bffa8-5502-4639-b4c5-78e006217829 + name: question_type + selector: + - conversation + - question_type + value: 0 + value_type: number + - description: 游戏状态(pending\start\running\restart\success) + id: b380e461-c8e1-4d5f-be5f-439ddf84fc5a + name: status + selector: + - conversation + - status + value: pending + value_type: string + - description: 问题序号 + id: 90d13fef-affa-4660-883f-00881df92f4c + name: question_id + selector: + - conversation + - question_id + value: 0 + value_type: number + - description: 游戏关卡 + id: d05c7f90-2e56-4296-9b91-4a481d44682e + name: game_level + selector: + - conversation + - game_level + value: 0 + value_type: number + environment_variables: + - description: '' + id: 81051d42-e73b-4d85-8d5d-59eed29f488c + name: top_n + selector: + - env + - top_n + value: 50 + value_type: number + features: + file_upload: + allowed_file_extensions: + - .JPG + - .JPEG + - .PNG + - .GIF + - .WEBP + - .SVG + - .MP4 + - .MOV + - .MPEG + - .MPGA + allowed_file_types: [] + allowed_file_upload_methods: + - remote_url + - 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: + enabled: false + number_limits: 3 + transfer_methods: + - remote_url + - local_file + number_limits: 3 + opening_statement: '
完蛋!我被LLM包围了!
+ +
欢迎来玩 Dify 复刻版的 【完蛋!我被LLM包围了!】
+ +
你将通过本游戏对大型语言模型产生更深刻的理解。
+ +
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。
' + retriever_resource: + enabled: true + sensitive_word_avoidance: + configs: [] + enabled: false + type: '' + speech_to_text: + enabled: false + suggested_questions: + - '#开始' + suggested_questions_after_answer: + enabled: false + text_to_speech: + enabled: false + language: '' + voice: '' + graph: + edges: + - data: + isInIteration: false + sourceType: start + targetType: if-else + id: start-source-1735183356205-target + selected: false + source: start + sourceHandle: source + target: '1735183356205' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: assigner + id: 1735183356205-true-1735183411877-target + selected: false + source: '1735183356205' + sourceHandle: 'true' + target: '1735183411877' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: assigner + id: 1735183356205-faa33c03-dbfd-4fc5-b85d-11d3a519e455-1735183489389-target + selected: false + source: '1735183356205' + sourceHandle: faa33c03-dbfd-4fc5-b85d-11d3a519e455 + target: '1735183489389' + targetHandle: target + type: custom + zIndex: 0 + - 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data: + isInIteration: false + sourceType: code + targetType: llm + id: 1735199302294-source-1735198964742-target + selected: false + source: '1735199302294' + sourceHandle: source + target: '1735198964742' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: answer + id: 1735183233430-9ca767d9-54ea-407e-a0a3-a8dc3e55e118-1735200055854-target + selected: false + source: '1735183233430' + sourceHandle: 9ca767d9-54ea-407e-a0a3-a8dc3e55e118 + target: '1735200055854' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: answer + targetType: answer + id: 1735197253934-source-1735192250756-target + selected: false + source: '1735197253934' + sourceHandle: source + target: '1735192250756' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: answer + targetType: answer + id: 1735199727654-source-1735192250756-target + selected: false + source: '1735199727654' + sourceHandle: source + target: '1735192250756' + targetHandle: target + type: custom + zIndex: 0 + - 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data: + isInIteration: false + sourceType: assigner + targetType: if-else + id: 1735201350381-source-1735201048213-target + selected: false + source: '1735201350381' + sourceHandle: source + target: '1735201048213' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: answer + id: 1735197213688-false-1735199727654-target + selected: false + source: '1735197213688' + sourceHandle: 'false' + target: '1735199727654' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: code + id: 1735183233430-c2d2ac2c-c148-48ce-b71d-822359b17e3d-1735195133945-target + selected: false + source: '1735183233430' + sourceHandle: c2d2ac2c-c148-48ce-b71d-822359b17e3d + target: '1735195133945' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: code + id: 1735183233430-4e65ee00-65e5-4b72-bfb7-f353ce3860e4-1735195133945-target + selected: false + source: '1735183233430' + sourceHandle: 4e65ee00-65e5-4b72-bfb7-f353ce3860e4 + target: '1735195133945' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: answer + id: 1735197213688-25972869-6d46-4e39-9a88-e019825edf57-1735192250756-target + selected: false + source: '1735197213688' + sourceHandle: 25972869-6d46-4e39-9a88-e019825edf57 + target: '1735192250756' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: answer + targetType: if-else + id: 1735198227518-source-1735213477600-target + source: '1735198227518' + sourceHandle: source + target: '1735213477600' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: code + id: 1735213477600-false-1735195133945-target + source: '1735213477600' + sourceHandle: 'false' + target: '1735195133945' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: llm + id: 1735213477600-true-1735213513838-target + source: '1735213477600' + sourceHandle: 'true' + target: '1735213513838' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: llm + targetType: answer + id: 1735213513838-source-1735213525623-target + source: '1735213513838' + sourceHandle: source + target: '1735213525623' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: answer + targetType: code + id: 1735213525623-source-1735195133945-target + source: '1735213525623' + sourceHandle: source + target: '1735195133945' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: answer + id: 1735197213688-9d4ecd94-c9d7-4f53-a44e-e5b3a62827a6-1735264591657-target + source: '1735197213688' + sourceHandle: 9d4ecd94-c9d7-4f53-a44e-e5b3a62827a6 + target: '1735264591657' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: answer + targetType: answer + id: 1735264591657-source-1735192250756-target + source: '1735264591657' + sourceHandle: source + target: '1735192250756' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: assigner + targetType: template-transform + id: 1735183411877-source-1736326776211-target + source: '1735183411877' + sourceHandle: source + target: '1736326776211' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: assigner + targetType: template-transform + id: 1735183489389-source-1736326787827-target + source: '1735183489389' + sourceHandle: source + target: '1736326787827' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: if-else + targetType: template-transform + id: 1735183356205-false-1736326800771-target + source: '1735183356205' + sourceHandle: 'false' + target: '1736326800771' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: template-transform + targetType: variable-aggregator + id: 1736326776211-source-1736326851692-target + source: '1736326776211' + sourceHandle: source + target: '1736326851692' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: template-transform + targetType: variable-aggregator + id: 1736326787827-source-1736326851692-target + source: '1736326787827' + sourceHandle: source + target: '1736326851692' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: template-transform + targetType: variable-aggregator + id: 1736326800771-source-1736326851692-target + source: '1736326800771' + sourceHandle: source + target: '1736326851692' + targetHandle: target + type: custom + zIndex: 0 + - data: + isInIteration: false + sourceType: variable-aggregator + targetType: if-else + id: 1736326851692-source-1735183233430-target + source: '1736326851692' + sourceHandle: source + target: '1735183233430' + targetHandle: target + type: custom + zIndex: 0 + nodes: + - data: + selected: false + title: START + type: start + variables: [] + height: 52 + id: start + position: + x: 30 + y: 287 + positionAbsolute: + x: 30 + y: 287 + selected: false + type: custom + width: 242 + - data: + cases: + - case_id: 'true' + conditions: + - comparison_operator: is + id: f449f8ad-94c3-4813-baeb-7ec9542192eb + value: pending + varType: string + variable_selector: + - '1736326851692' + - output + id: 'true' + logical_operator: and + - case_id: 9ca767d9-54ea-407e-a0a3-a8dc3e55e118 + conditions: + - comparison_operator: is + id: 2ecc2ad2-1566-4aef-90f9-2359c0230e3f + value: success + varType: string + variable_selector: + - '1736326851692' + - output + id: 9ca767d9-54ea-407e-a0a3-a8dc3e55e118 + logical_operator: and + - case_id: c2d2ac2c-c148-48ce-b71d-822359b17e3d + conditions: + - comparison_operator: is + id: 896357e6-2180-43dd-ab1c-d018c6987f0a + value: start + varType: string + variable_selector: + - '1736326851692' + - output + id: c2d2ac2c-c148-48ce-b71d-822359b17e3d + logical_operator: and + - case_id: 4e65ee00-65e5-4b72-bfb7-f353ce3860e4 + conditions: + - comparison_operator: is + id: 596ec20f-8dfb-44cf-9f32-7c3e233484b9 + value: restart + varType: string + variable_selector: + - '1736326851692' + - output + id: 4e65ee00-65e5-4b72-bfb7-f353ce3860e4 + logical_operator: and + desc: '' + selected: false + title: 状态判断 + type: if-else + height: 268 + id: '1735183233430' + position: + x: 1550 + y: 415 + positionAbsolute: + x: 1550 + y: 415 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + cases: + - case_id: 'true' + conditions: + - comparison_operator: is + id: f202373c-1552-45b4-bc8f-f8999835ac9d + value: '#开始' + varType: string + variable_selector: + - sys + - query + id: 'true' + logical_operator: and + - case_id: faa33c03-dbfd-4fc5-b85d-11d3a519e455 + conditions: + - comparison_operator: is + id: 2b704d2e-71fd-470e-8a87-b68fb2ee0a61 + value: '#重启' + varType: string + variable_selector: + - sys + - query + id: faa33c03-dbfd-4fc5-b85d-11d3a519e455 + logical_operator: and + desc: '' + selected: false + title: 输入判断 + type: if-else + height: 172 + id: '1735183356205' + position: + x: 334 + y: 287 + positionAbsolute: + x: 334 + y: 287 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: '' + items: + - input_type: constant + operation: set + value: start + variable_selector: + - conversation + - status + write_mode: over-write + selected: false + title: 启动状态 + type: assigner + version: '2' + height: 86 + id: '1735183411877' + position: + x: 638 + y: 287 + positionAbsolute: + x: 638 + y: 287 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: '' + items: + - input_type: constant + operation: set + value: restart + variable_selector: + - conversation + - status + write_mode: over-write + selected: false + title: 重启状态 + type: assigner + version: '2' + height: 86 + id: '1735183489389' + position: + x: 638 + y: 377.85714285714283 + positionAbsolute: + x: 638 + y: 377.85714285714283 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '
+ + 还未开始游戏,请点击 开始游戏! + +
' + desc: '' + selected: false + title: 提示点击开始 + type: answer + variables: [] + height: 178 + id: '1735183663452' + position: + x: 1854 + y: 415 + positionAbsolute: + x: 1854 + y: 415 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '## {{#1735195133945.game_level_name#}} + + ### {{#1735195133945.question_title#}} + + **当前挑战:** {{#1735195133945.question_description#}}' + desc: '' + selected: false + title: 当前挑战 + type: answer + variables: [] + height: 155 + id: '1735192250756' + position: + x: 4894 + y: 951.5 + positionAbsolute: + x: 4894 + y: 951.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - 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:** 挑战失败,请再试一次。 + + + ' + 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: + completion_params: + temperature: 0.7 + mode: chat + name: qwen-max + provider: tongyi + prompt_template: + - id: 7066eb04-8562-4b3f-b682-467971f1b047 + role: system + text: '' + - id: 379d7a22-f167-4c45-bd24-f951ad2c3aa2 + role: user + text: '{{#1735199302294.reversed_query#}}' + selected: false + title: 倒序问题的LLM问答 + type: llm + variables: [] + vision: + enabled: false + height: 96 + id: '1735198964742' + position: + x: 2766 + y: 842.5 + positionAbsolute: + x: 2766 + y: 842.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '**模型的回答(倒序问题):** + + {{#1735198964742.text#}} + + + ' + desc: '' + selected: false + title: 倒序问题的LLM回答 + type: answer + variables: [] + height: 117 + id: '1735199090032' + position: + x: 3070 + y: 842.5 + positionAbsolute: + x: 3070 + y: 842.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + code: "\ndef main(query: str) -> dict:\n return {\n \"reversed_query\"\ + : query[::-1],\n }\n" + code_language: python3 + desc: '' + outputs: + reversed_query: + children: null + type: string + selected: false + title: 问题倒序 + type: code + variables: + - value_selector: + - sys + - query + variable: query + height: 52 + id: '1735199302294' + position: + x: 2462 + y: 878.5 + positionAbsolute: + x: 2462 + y: 878.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '**挑战结果:** 挑战成功!进入下一关。🎉 + + + ' + desc: '' + selected: false + title: 问题挑战成功 + type: answer + variables: [] + height: 130 + id: '1735199727654' + position: + x: 4590 + y: 855.5 + positionAbsolute: + x: 4590 + y: 855.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '**挑战结果:** 恭喜你完成了所有挑战!🎉🎉🎉' + desc: '' + selected: false + title: 挑战完成 + type: answer + variables: [] + height: 130 + id: '1735199809830' + position: + x: 4286 + y: 1092.5 + positionAbsolute: + x: 4286 + y: 1092.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '你已经完成了所有挑战!!!🎉🎉🎉 + + 可以点击 + ,开始重新挑战!' + desc: '' + selected: false + title: 提示点击重启 + type: answer + variables: [] + height: 178 + id: '1735200055854' + position: + x: 1854 + y: 962.5 + positionAbsolute: + x: 1854 + y: 962.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + cases: + - case_id: 'true' + conditions: + - comparison_operator: is + id: 2e521a81-0515-4900-8d11-ea3f29e48564 + value: running + varType: string + variable_selector: + - '1735195133945' + - status + id: 'true' + logical_operator: and + - case_id: ef6ca92c-8822-4f18-b219-ae4bae7698a0 + conditions: + - comparison_operator: is + id: c1f27c36-bf70-48ad-b1d0-b019e95bf0ca + value: success + varType: string + variable_selector: + - '1735195133945' + - status + id: ef6ca92c-8822-4f18-b219-ae4bae7698a0 + logical_operator: and + desc: '' + selected: false + title: 状态判断 + type: if-else + height: 172 + id: '1735201048213' + position: + x: 3982 + y: 683.5 + positionAbsolute: + x: 3982 + y: 683.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: '' + items: + - input_type: variable + operation: over-write + value: + - '1735195133945' + - status + variable_selector: + - conversation + - status + write_mode: over-write + - input_type: variable + operation: over-write + value: + - '1735195133945' + - game_level + variable_selector: + - conversation + - game_level + write_mode: over-write + - input_type: variable + operation: over-write + value: + - '1735195133945' + - question_id + variable_selector: + - conversation + - question_id + write_mode: over-write + - input_type: variable + operation: over-write + value: + - '1735195133945' + - question_type + variable_selector: + - conversation + - question_type + write_mode: over-write + selected: false + title: 设置游戏关卡、问题序号和状态 + type: assigner + version: '2' + height: 170 + id: '1735201350381' + position: + x: 3678 + y: 683.5 + positionAbsolute: + x: 3678 + y: 683.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + cases: + - case_id: 'true' + conditions: + - comparison_operator: '=' + id: b96274d7-3114-41f8-a6ea-e9ce10e241a9 + value: '2' + varType: number + variable_selector: + - conversation + - question_type + id: 'true' + logical_operator: and + desc: '' + selected: false + title: 互惠问题判断 + type: if-else + height: 124 + id: '1735213477600' + position: + x: 2462 + y: 594 + positionAbsolute: + x: 2462 + y: 594 + 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: b1768388-7978-4910-a5f4-3cac84223557 + role: system + text: '' + - id: dbf05685-f460-4edf-a015-41eea35d77bc + role: user + text: '{{#1735195760496.text#}}' + selected: false + title: 互惠问题的LLM问答 + type: llm + variables: [] + vision: + enabled: false + height: 96 + id: '1735213513838' + position: + x: 2766 + y: 683.5 + positionAbsolute: + x: 2766 + y: 683.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + answer: '**模型的回答(互惠问题):** + + {{#1735213513838.text#}} + + + ' + desc: '' + selected: false + title: 互惠问题的LLM回答 + type: answer + variables: [] + height: 117 + id: '1735213525623' + position: + x: 3070 + y: 683.5 + positionAbsolute: + x: 3070 + y: 683.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + author: Junjie.M + desc: '' + height: 250 + selected: false + showAuthor: true + text: '{"root":{"children":[{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"【完蛋!我被LLM包围了!】","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"借鉴了:","type":"text","version":1},{"type":"linebreak","version":1},{"detail":0,"format":0,"mode":"normal","style":"","text":"https://github.com/modelscope/modelscope/tree/master/examples/apps/llm_riddles","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"注意事项:","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"需要在sandbox中添加依赖包并重启sandbox:","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"1、vi + dify/docker/volumes/sandbox/dependencies/python-requirements.txt","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"添加sympy~=1.13.3","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"2、docker + stop docker-sandbox-1","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"3、docker + compose up -d sandbox","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0}],"direction":"ltr","format":"","indent":0,"type":"root","version":1}}' + theme: blue + title: '' + type: '' + width: 485 + height: 250 + id: '1735262381674' + position: + x: 30 + y: -2.466321643191989 + positionAbsolute: + x: 30 + y: -2.466321643191989 + selected: false + sourcePosition: right + targetPosition: left + type: custom-note + width: 485 + - data: + answer: '**挑战结果:** 恭喜章节挑战成功!进入下一章。🎉🎉 + + + ' + desc: '' + selected: false + title: 关卡挑战成功 + type: answer + variables: [] + height: 130 + id: '1735264591657' + position: + x: 4590 + y: 1047.5 + positionAbsolute: + x: 4590 + y: 1047.5 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: '' + selected: false + template: '{{ status }}' + title: 模板转换 + type: template-transform + variables: + - value_selector: + - conversation + - status + variable: status + height: 52 + id: '1736326776211' + position: + x: 942 + y: 287 + positionAbsolute: + x: 942 + y: 287 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: '' + selected: false + template: '{{ status }}' + title: 模板转换 2 + type: template-transform + variables: + - value_selector: + - conversation + - status + variable: status + height: 52 + id: '1736326787827' + position: + x: 942 + y: 415 + positionAbsolute: + x: 942 + y: 415 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: '' + selected: false + template: '{{ status }}' + title: 模板转换 3 + type: template-transform + variables: + - value_selector: + - conversation + - status + variable: status + height: 52 + id: '1736326800771' + position: + x: 942 + y: 509 + positionAbsolute: + x: 942 + y: 509 + selected: false + sourcePosition: right + targetPosition: left + type: custom + width: 242 + - data: + desc: 为了规避会话变量在条件分支中作为判断条件时下游回复都会触发的BUG,临时这样处理 + output_type: string + selected: false + title: 变量聚合器 + type: variable-aggregator + variables: + - - '1736326776211' + - output + - - '1736326787827' + - output + - - '1736326800771' + - output + height: 211 + id: '1736326851692' + position: + x: 1246 + y: 415 + positionAbsolute: + x: 1246 + y: 415 + selected: true + sourcePosition: right + targetPosition: left + type: custom + width: 242 + viewport: + x: -2405 + y: -236.79999999999995 + zoom: 0.7 diff --git a/README.md b/README.md index 60737a6..d252b0b 100644 --- a/README.md +++ b/README.md @@ -116,7 +116,7 @@ sandbox 运行pandas,numpy>2.0,matplotlib,scikit-learn 代码老报错, | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------- | | `春联生成器.yml` |春联生成工具,注意字体需要电脑有,可以按需修改字体。 ![](./snapshots/Xnip2025-01-21_09-21-11.jpg) | 微信群@Junjie.M | | `春联生成器 (“福”到了版本).yml` | ![](./snapshots/Xnip2025-01-21_09-22-59.jpg) | 微信群@Junjie.M | -| `完蛋!我被LLM包围了!(战绩排行版).yml` | 【完蛋!我被LLM包围了!】借鉴了:https://github.com/modelscope/modelscope/tree/master/examples/apps/llm_riddles ![](./snapshots/Xnip2025-01-21_09-30-46.jpg) | 微信群@Junjie.M | +| `完蛋!我被LLM包围了! .yml` | 【完蛋!我被LLM包围了!】借鉴了:https://github.com/modelscope/modelscope/tree/master/examples/apps/llm_riddles ![](./snapshots/Xnip2025-01-21_09-39-18.jpg) | 微信群@Junjie.M | diff --git a/snapshots/Xnip2025-01-21_09-39-18.jpg b/snapshots/Xnip2025-01-21_09-39-18.jpg new file mode 100644 index 0000000..5d3f265 Binary files /dev/null and b/snapshots/Xnip2025-01-21_09-39-18.jpg differ