app:
  description: ''
  icon: 🤖
  icon_background: '#FFEAD5'
  mode: advanced-chat
  name: Dify_履歴書チェック
  use_icon_as_answer_icon: false
dependencies:
- current_identifier: null
  type: marketplace
  value:
    marketplace_plugin_unique_identifier: langgenius/gemini:0.5.6@6937ac6c3f88d0ef5021881b00eab58e0722e1b3cc186087b023688679abd074
    version: null
kind: app
version: 0.4.0
workflow:
  conversation_variables: []
  environment_variables: []
  features:
    file_upload:
      allowed_file_extensions:
      - .JPG
      - .JPEG
      - .PNG
      - .GIF
      - .WEBP
      - .SVG
      allowed_file_types:
      - document
      allowed_file_upload_methods:
      - remote_url
      - local_file
      enabled: true
      fileUploadConfig:
        audio_file_size_limit: 50
        batch_count_limit: 5
        file_size_limit: 50
        image_file_size_limit: 10
        video_file_size_limit: 100
        workflow_file_upload_limit: 100
      number_limits: 3
    opening_statement: ''
    retriever_resource:
      enabled: true
    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: llm
        targetType: answer
      id: llm-answer
      source: llm
      sourceHandle: source
      target: answer
      targetHandle: target
      type: custom
    - data:
        isInIteration: false
        isInLoop: false
        sourceType: start
        targetType: iteration
      id: 1762265769607-source-1762265788299-target
      source: '1762265769607'
      sourceHandle: source
      target: '1762265788299'
      targetHandle: target
      type: custom
      zIndex: 0
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        sourceType: iteration
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      sourceHandle: source
      target: llm
      targetHandle: target
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    - data:
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        iteration_id: '1762265788299'
        sourceType: iteration-start
        targetType: document-extractor
      id: 1762265788299start-source-1762265790031-target
      source: 1762265788299start
      sourceHandle: source
      target: '1762265790031'
      targetHandle: target
      type: custom
      zIndex: 1002
    nodes:
    - data:
        selected: false
        title: 開始
        type: start
        variables: []
      height: 52
      id: '1762265769607'
      position:
        x: 116.3374227445496
        y: 282
      positionAbsolute:
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      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        context:
          enabled: false
          variable_selector: []
        memory:
          query_prompt_template: '{{#sys.query#}}


            {{#sys.files#}}'
          role_prefix:
            assistant: ''
            user: ''
          window:
            enabled: false
            size: 10
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: gemini-2.5-pro
          provider: langgenius/gemini/google
        prompt_template:
        - id: 118d5f87-e25f-4e63-9880-c1e4454e6877
          role: system
          text: '## 命令

            あなたは採用エージェントです。

            今から複数の職務経歴書・履歴書を送付します。

            それらをチェックし、合否判定を実施してください。


            ## 採用条件

            - B2Bのマーケティング経験2年以上

            - 営業経験2年以上

            - マネジメント経験あり


            ## 条件

            テーブル形式で出力してください。

            採用判定を行い、判定結果の根拠を記載してください。

            合格者の場合、求人媒体用のスカウトメッセージも作成してください。

            '
        - id: bbd4ce55-7cdb-4240-abe9-8d5fe0a28645
          role: user
          text: '## 職務経歴書・履歴書

            {{#1762265788299.output#}}'
        selected: false
        title: LLM
        type: llm
        vision:
          enabled: false
      height: 88
      id: llm
      position:
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      positionAbsolute:
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      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        answer: '{{#llm.text#}}'
        selected: false
        title: 回答
        type: answer
        variables: []
      height: 102
      id: answer
      position:
        x: 1034.7627832699848
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      positionAbsolute:
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        y: 282
      selected: true
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
    - data:
        error_handle_mode: continue-on-error
        height: 187
        is_parallel: true
        iterator_input_type: array[file]
        iterator_selector:
        - sys
        - files
        output_selector:
        - '1762265790031'
        - text
        output_type: array[string]
        parallel_nums: 10
        selected: false
        start_node_id: 1762265788299start
        title: イテレーション
        type: iteration
        width: 370
      height: 187
      id: '1762265788299'
      position:
        x: 380
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      positionAbsolute:
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      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 370
      zIndex: 1
    - data:
        desc: ''
        isInIteration: true
        selected: false
        title: ''
        type: iteration-start
      draggable: false
      height: 48
      id: 1762265788299start
      parentId: '1762265788299'
      position:
        x: 24
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      positionAbsolute:
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      selectable: false
      sourcePosition: right
      targetPosition: left
      type: custom-iteration-start
      width: 44
      zIndex: 1002
    - data:
        isInIteration: true
        isInLoop: false
        is_array_file: false
        iteration_id: '1762265788299'
        selected: false
        title: テキスト抽出
        type: document-extractor
        variable_selector:
        - '1762265788299'
        - item
      height: 92
      id: '1762265790031'
      parentId: '1762265788299'
      position:
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      positionAbsolute:
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      selected: false
      sourcePosition: right
      targetPosition: left
      type: custom
      width: 242
      zIndex: 1002
    viewport:
      x: -11.265508963233515
      y: -122.44252913946934
      zoom: 1.0257410791122425
  rag_pipeline_variables: []