269 lines
7.3 KiB
YAML
269 lines
7.3 KiB
YAML
app:
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description: ''
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icon: 🤖
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icon_background: '#FFEAD5'
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mode: workflow
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name: 会话总结
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use_icon_as_answer_icon: false
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dependencies:
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- current_identifier: null
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type: marketplace
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value:
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marketplace_plugin_unique_identifier: langgenius/siliconflow:0.0.38@4795747d4fca05fee9daf34b1bcc110ffbbfcd9112f5f9e914f90b8b5dd549e5
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version: null
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kind: app
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version: 0.5.0
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workflow:
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conversation_variables: []
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environment_variables: []
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features:
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file_upload:
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allowed_file_extensions:
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- .JPG
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- .JPEG
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- .PNG
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- .GIF
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- .WEBP
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- .SVG
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allowed_file_types:
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- image
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allowed_file_upload_methods:
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- local_file
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- remote_url
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enabled: false
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fileUploadConfig:
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audio_file_size_limit: 50
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batch_count_limit: 5
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file_size_limit: 500
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image_file_batch_limit: 10
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image_file_size_limit: 10
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single_chunk_attachment_limit: 10
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video_file_size_limit: 100
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workflow_file_upload_limit: 10
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image:
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enabled: false
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number_limits: 3
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transfer_methods:
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- local_file
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- remote_url
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number_limits: 3
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opening_statement: ''
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retriever_resource:
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enabled: true
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sensitive_word_avoidance:
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enabled: false
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speech_to_text:
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enabled: false
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suggested_questions: []
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suggested_questions_after_answer:
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enabled: false
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text_to_speech:
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enabled: false
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language: ''
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voice: ''
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graph:
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edges:
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: start
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targetType: code
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id: 1767170626348-source-1767170986690-target
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source: '1767170626348'
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sourceHandle: source
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target: '1767170986690'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInLoop: false
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sourceType: code
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targetType: llm
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id: 1767170986690-source-1767170825066-target
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source: '1767170986690'
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sourceHandle: source
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target: '1767170825066'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInIteration: false
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isInLoop: false
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sourceType: llm
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targetType: end
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id: 1767170825066-source-1767173247791-target
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source: '1767170825066'
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sourceHandle: source
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target: '1767173247791'
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targetHandle: target
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type: custom
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zIndex: 0
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nodes:
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- data:
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selected: false
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title: 用户输入
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type: start
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variables:
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- default: ''
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hint: ''
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label: 聊天室对话数据
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max_length: 99999
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options: []
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placeholder: ''
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required: true
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type: paragraph
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variable: chatMessages
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height: 109
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id: '1767170626348'
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position:
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x: -40
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y: 267
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positionAbsolute:
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x: -40
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y: 267
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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- data:
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context:
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enabled: true
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variable_selector:
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- '1767170986690'
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- result
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model:
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completion_params:
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temperature: 0.7
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mode: chat
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name: Qwen/Qwen2.5-VL-72B-Instruct
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provider: langgenius/siliconflow/siliconflow
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prompt_template:
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- id: fd7bffa7-97b7-4a7e-a47f-04dfbd15eca6
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role: system
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text: '# 角色定义
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你是一个专业的聊天室总结助手，严格按照要求输出指定格式的JSON内容，不输出任何多余文字、注释、换行。
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聊天室角色说明：guest=用户、ai=智能助手、agent=人工客服，聊天消息已按send_time时间正序排列。
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# 输出规则（必须严格遵守，违反则任务失败）
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1. 必须输出标准JSON字符串，仅包含 {"question":"","needs":[""],"answer":""} 三个字段，无其他字段、无多余内容；
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2. question：提炼用户(guest)的核心问题，无业务问题则填"用户无明确业务问题，仅进行友好问候"；
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3. needs：提取用户的核心诉求，格式为数组，无诉求则填空数组[]，仅保留业务相关诉求，过滤问候语；
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4. answer：整理有效解答（优先ai/agent回复），无有效解答则填"暂无有效解答，需用户补充更具体的问题或背景信息"；
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5. JSON中禁止出现换行、多余空格，content中的特殊字符/引号自动转义，确保JSON语法合规。
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# 输出格式（唯一合法格式，必须原样输出）
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{"question":"用户提出的问题描述", "needs":["客户诉求1","客户诉求2"],"answer":"解决方案"}
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# 聊天上下文（完整带角色，已排序）
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{{#context#}}'
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selected: false
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structured_output:
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schema:
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additionalProperties: false
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properties:
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answer:
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type: string
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needs:
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items:
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type: string
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type: array
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question:
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type: string
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required:
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- question
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- needs
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- answer
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type: object
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structured_output_enabled: false
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title: LLM
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type: llm
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vision:
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enabled: false
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height: 88
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id: '1767170825066'
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position:
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x: 886
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y: 294
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positionAbsolute:
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x: 886
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y: 294
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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- data:
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code: "import json\n\ndef main(chatMessages: str):\n # 核心：JSON字符串 转 Python对象/对象数组\n\
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\ obj_array = json.loads(chatMessages)\n # 返回转换后的对象数组，key自定义为你后续要用的名称（示例用result）\n\
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\ # {\"senderType\":\"ai\\guest\\staff\",\"content\":\"xxx\",\"send_time\"\
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:\"xxx\"}\n obj_array_sorted = sorted(obj_array, key=lambda x: x[\"send_time\"\
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])\n return {\n \"result\": obj_array_sorted\n }"
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code_language: python3
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outputs:
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result:
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children: null
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type: array[object]
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selected: false
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title: jsonstring转对象数组
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type: code
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variables:
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- value_selector:
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- '1767170626348'
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- chatMessages
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value_type: string
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variable: chatMessages
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height: 52
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id: '1767170986690'
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position:
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x: 301
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y: 308
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positionAbsolute:
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x: 301
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y: 308
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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- data:
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outputs:
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- value_selector:
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- '1767170825066'
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- text
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value_type: string
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variable: text
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selected: false
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title: 输出
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type: end
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height: 88
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id: '1767173247791'
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position:
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x: 1192
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y: 294
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positionAbsolute:
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x: 1192
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y: 294
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selected: true
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sourcePosition: right
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targetPosition: left
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type: custom
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||
width: 242
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viewport:
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x: -661
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y: 93.5
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zoom: 1
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rag_pipeline_variables: []
|