app:
  description: "用于查询各公司基本信息\
    和信用信息的助手：基本信息\
    来自知识库文档，信用信息来\
    自信用视界。\n如果查询不在知\
    识库内的公司，回复不支持。\
    \n如果不是查询公司信息，转到\
    AI 通用对话问答。"
  icon: icon_04
  icon_background: '#E4FBCC'
  mode: advanced-chat
  name: "公司信息助手"
workflow:
  features:
    file_upload:
      image:
        enabled: false
        number_limits: 3
        transfer_methods:
        - local_file
        - remote_url
    opening_statement: ''
    retriever_resource:
      enabled: false
    sensitive_word_avoidance:
      enabled: false
    speech_to_text:
      enabled: false
    suggested_questions: []
    suggested_questions_after_answer:
      enabled: false
    text_to_speech:
      enabled: false
      language: ''
      voice: ''
  graph:
    edges:
    - data:
        sourceType: start
        targetType: llm
      id: 1724319412809-llm
      source: '1724319412809'
      sourceHandle: source
      target: llm
      targetHandle: target
      type: custom
    - data:
        sourceType: llm
        targetType: if-else
      id: llm-1724319718191
      source: llm
      sourceHandle: source
      target: '1724319718191'
      targetHandle: target
      type: custom
    - data:
        sourceType: if-else
        targetType: llm
      id: 1724319718191-1724319828199
      source: '1724319718191'
      sourceHandle: 'false'
      target: '1724319828199'
      targetHandle: target
      type: custom
    - data:
        sourceType: llm
        targetType: answer
      id: 1724319828199-1724320381358
      source: '1724319828199'
      sourceHandle: source
      target: '1724320381358'
      targetHandle: target
      type: custom
    - data:
        sourceType: if-else
        targetType: code
      id: 1724319718191-1724320483669
      source: '1724319718191'
      sourceHandle: 'true'
      target: '1724320483669'
      targetHandle: target
      type: custom
    - data:
        sourceType: llm
        targetType: if-else
      id: 1724321166260-1724321352125
      source: '1724321166260'
      sourceHandle: source
      target: '1724321352125'
      targetHandle: target
      type: custom
    - data:
        sourceType: http-request
        targetType: llm
      id: 1724323898989-1724383174669
      source: '1724323898989'
      sourceHandle: source
      target: '1724383174669'
      targetHandle: target
      type: custom
    - data:
        sourceType: llm
        targetType: answer
      id: 1724383174669-1724323442412
      source: '1724383174669'
      sourceHandle: source
      target: '1724323442412'
      targetHandle: target
      type: custom
    - data:
        sourceType: if-else
        targetType: answer
      id: 1724321352125-answer
      source: '1724321352125'
      sourceHandle: 'true'
      target: answer
      targetHandle: target
      type: custom
    - data:
        sourceType: if-else
        targetType: http-request
      id: 1724321352125-1724323898989
      source: '1724321352125'
      sourceHandle: 'false'
      target: '1724323898989'
      targetHandle: target
      type: custom
    - data:
        sourceType: code
        targetType: knowledge-retrieval
      id: 1724320483669-1724727809359
      source: '1724320483669'
      sourceHandle: source
      target: '1724727809359'
      targetHandle: target
      type: custom
    - data:
        sourceType: knowledge-retrieval
        targetType: llm
      id: 1724727809359-1724321166260
      source: '1724727809359'
      sourceHandle: source
      target: '1724321166260'
      targetHandle: target
      type: custom
    nodes:
    - data:
        desc: ''
        selected: false
        title: "开始"
        type: start
        variables: []
      height: 53
      id: '1724319412809'
      position:
        x: 61
        y: 152
      positionAbsolute:
        x: 61
        y: 152
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: "信息分类"
        memory:
          role_prefix:
            assistant: ''
            user: ''
          window:
            enabled: true
            size: 5
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: qwen2-instruct
          provider: xinference
        prompt_template:
        - id: cab68323-bf42-410d-94d5-55edccead498
          role: system
          text: "你判断用户输入，如果是\
            查询公司信息的，提取返回\
            json格式字符串：包括两个参\
            数next和entity，其中next参数的值是\
            query，entity的值是公司名称。如\
            果不是查询公司信息的，返\
            回json格式字符串：包括两个\
            参数next和entity，其中next参数的值\
            是common，entity的值是空字符串。"
        selected: false
        title: "LLM-信息分类"
        type: llm
        variables: []
        vision:
          enabled: false
      height: 127
      id: llm
      position:
        x: 349
        y: 152
      positionAbsolute:
        x: 349
        y: 152
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        answer: "抱歉，我还不支持查询该\
          公司：{{#1724320483669.entity_name#}}"
        desc: ''
        selected: false
        title: "直接回复-不支持的公司"
        type: answer
        variables: []
      height: 122
      id: answer
      position:
        x: 2116.1994026110765
        y: 216.4818519056615
      positionAbsolute:
        x: 2116.1994026110765
        y: 216.4818519056615
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        conditions:
        - comparison_operator: contains
          id: '1724319719557'
          value: query
          variable_selector:
          - llm
          - text
        desc: "判断是否公司信息查询"
        logical_operator: and
        selected: false
        title: "条件分支-判断是否公司信\
          息查询"
        type: if-else
      height: 155
      id: '1724319718191'
      position:
        x: 635
        y: 152
      positionAbsolute:
        x: 635
        y: 152
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: true
          variable_selector:
          - sys
          - query
        desc: "通用对话支持"
        memory:
          role_prefix:
            assistant: ''
            user: ''
          window:
            enabled: true
            size: 5
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: qwen2-instruct
          provider: xinference
        prompt_template:
        - id: 97ff63eb-45e6-471c-b684-483ac808814d
          role: system
          text: "这是输入：{{#context#}}\n请回答。"
        selected: false
        title: "LLM-通用对话支持"
        type: llm
        variables: []
        vision:
          enabled: false
      height: 127
      id: '1724319828199'
      position:
        x: 635
        y: 344
      positionAbsolute:
        x: 635
        y: 344
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        answer: '{{#1724319828199.text#}}'
        desc: ''
        selected: false
        title: "直接回复-通用对话"
        type: answer
        variables: []
      height: 106
      id: '1724320381358'
      position:
        x: 635
        y: 515
      positionAbsolute:
        x: 635
        y: 515
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        code: "import json\nimport re\n# 主运行函数\ndef main(arg1:\
          \ str) -> dict:\n    # 从输入字符串中提取\
          JSON块内容\n    # 输入可能是两种\
          格式之一：```json\\s({\"next\":\"query\", \"entity\"\
          : \"公司名称\"})```，或者{\"next\":\"query\"\
          , \"entity\": \"公司名称\"}\n    # 先按第一\
          种格式对待，用正则表达式\
          提取\n    content = re.search(r'```json\\s(.*?)```', arg1.replace('\_\
          ', ' '), re.DOTALL)\n    if content:\n        data = json.loads(content.group(1))\n\
          \    else:\n        # 第二种格式\n        content =\
          \ arg1.replace('\_', ' ')\n        data = data = json.loads(content)\n\n\
          \    if 'entity' in data:\n        entity_name = data['entity']\n    else:\n\
          \        entity_name = ''\n\n    return {\n        \"entity_name\" : entity_name\n\
          \    }\n"
        code_language: python3
        dependencies: []
        desc: "提取公司名"
        outputs:
          entity_name:
            children: null
            type: string
        selected: false
        title: "代码执行-提取公司名"
        type: code
        variables:
        - value_selector:
          - llm
          - text
          variable: arg1
      height: 83
      id: '1724320483669'
      position:
        x: 932.4002986944615
        y: 183
      positionAbsolute:
        x: 932.4002986944615
        y: 183
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: true
          variable_selector:
          - '1724727809359'
          - result
        desc: "从知识库查询公司信息"
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: qwen2-instruct
          provider: xinference
        prompt_template:
        - id: f15c81ff-47e0-48d3-ae9d-7bb9a70fb7fe
          role: system
          text: "这是上下文检索结果：{{#context#}}\n\
            \n如果上下文检索结果是空的\
            ，返回\"不支持该公司\"。\n如\
            果不空，将检索结果输出。"
        selected: false
        title: "LLM-从知识库查询公司信息"
        type: llm
        variables: []
        vision:
          enabled: false
      height: 127
      id: '1724321166260'
      position:
        x: 1515.1193428721845
        y: 183
      positionAbsolute:
        x: 1515.1193428721845
        y: 183
      selected: true
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        conditions:
        - comparison_operator: contains
          id: '1724321353692'
          value: "不支持该公司"
          variable_selector:
          - '1724321166260'
          - text
        desc: ''
        logical_operator: and
        selected: false
        title: "条件分支-判断是否在支持\
          清单内"
        type: if-else
      height: 125
      id: '1724321352125'
      position:
        x: 1809.7190441777234
        y: 183
      positionAbsolute:
        x: 1809.7190441777234
        y: 183
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        answer: "{{#1724320483669.entity_name#}}的基本信息：\
          {{#1724321166260.text#}}\n信用信息：{{#1724383174669.text#}}"
        desc: ''
        selected: false
        title: "直接回复-整合结果输出"
        type: answer
        variables: []
      height: 143
      id: '1724323442412'
      position:
        x: 2738.367442303694
        y: 391.72352459464594
      positionAbsolute:
        x: 2738.367442303694
        y: 391.72352459464594
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        authorization:
          config: null
          type: no-auth
        body:
          data: ''
          type: none
        desc: ''
        headers: ''
        method: get
        params: ''
        selected: false
        timeout:
          connect: 10
          max_connect_timeout: 300
          max_read_timeout: 600
          max_write_timeout: 600
          read: 60
          write: 20
        title: "HTTP 请求-提交到信用视界搜\
          索"
        type: http-request
        url: https://www.x315.com/search?k="{{#1724320483669.entity_name#}}"
        variables: []
      height: 124
      id: '1724323898989'
      position:
        x: 2116.1994026110765
        y: 391.72352459464594
      positionAbsolute:
        x: 2116.1994026110765
        y: 391.72352459464594
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        context:
          enabled: false
          variable_selector: []
        desc: "提取结果"
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: qwen2-instruct
          provider: xinference
        prompt_template:
        - id: 5442467a-8043-4150-9fbf-d90e979b74ea
          role: system
          text: "请从以下搜索到的信用结\
            果内提取{{#1724320483669.entity_name#}}的信用\
            信息，并作为返回。\n\n这是\
            搜索到的公司信用结果：{{#1724323898989.body#}}"
        selected: false
        title: "LLM-提取信用搜索结果"
        type: llm
        variables: []
        vision:
          enabled: false
      height: 127
      id: '1724383174669'
      position:
        x: 2424.3266656980936
        y: 391.72352459464594
      positionAbsolute:
        x: 2424.3266656980936
        y: 391.72352459464594
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    - data:
        dataset_ids:
        - ad0eee52-ed1d-4189-b1ae-f45db519d76c
        desc: ''
        multiple_retrieval_config:
          reranking_model:
            model: bge-reranker-base
            provider: xinference
          score_threshold: 0.5
          top_k: 1
        query_variable_selector:
        - '1724320483669'
        - entity_name
        retrieval_mode: single
        selected: false
        single_retrieval_config:
          model:
            completion_params: {}
            mode: chat
            name: qwen2-instruct
            provider: xinference
        title: "知识检索"
        type: knowledge-retrieval
      height: 91
      id: '1724727809359'
      position:
        x: 1225.088178178135
        y: 183
      positionAbsolute:
        x: 1225.088178178135
        y: 183
      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 244
    viewport:
      x: -884.0415325168351
      y: -102.65257239932822
      zoom: 1.0074025769906287