281 lines
8.8 KiB
YAML
281 lines
8.8 KiB
YAML
app:
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description: 按群和日期提取群成员日画像，输出严格 JSON，供 member_context 插件直接消费
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icon: 🧠
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icon_background: '#E0F2FE'
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mode: workflow
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name: member_context
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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/volcengine_maas:0.0.13@d402dc32a505b1b4f27588f10e729209bf413ec263467635774d96c4345bd197
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kind: app
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version: 0.3.0
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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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- .TXT
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allowed_file_types:
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- document
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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: 15
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image_file_size_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: false
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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: llm
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id: start-source-llm-target
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selected: false
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source: 'start_node'
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sourceHandle: source
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target: 'llm_node'
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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: llm-source-end-target
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selected: false
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source: 'llm_node'
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sourceHandle: source
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target: 'end_node'
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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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desc: ''
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selected: false
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title: 开始
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type: start
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variables:
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- label: query
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max_length: 120000
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options: []
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required: false
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type: paragraph
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variable: query
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- label: chatroom_id
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max_length: 128
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options: []
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required: true
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type: text-input
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variable: chatroom_id
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- label: digest_date
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max_length: 32
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options: []
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required: true
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type: text-input
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variable: digest_date
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- label: member_labels
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max_length: 50000
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options: []
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required: true
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type: paragraph
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variable: member_labels
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- label: compressed_chat
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max_length: 200000
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options: []
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required: true
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type: paragraph
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variable: compressed_chat
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height: 194
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id: 'start_node'
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position:
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x: -420
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y: 120
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positionAbsolute:
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x: -420
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y: 120
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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: 244
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- data:
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context:
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enabled: false
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variable_selector: []
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default_value:
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- key: text
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type: string
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value: '{"members":[]}'
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desc: ''
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error_strategy: default-value
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model:
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completion_params:
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temperature: 0.2
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mode: chat
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name: Doubao-1.5-pro-256k
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provider: langgenius/volcengine_maas/volcengine_maas
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prompt_template:
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- id: system_prompt_member_context
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role: system
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text: |
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你是微信群后台的成员日行为证据提取器。
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任务：
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根据给定的一天群聊记录，只按 wxid 识别成员，输出每个成员当天的结构化行为观察。
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关键规则：
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1. wxid 是唯一标识。display_name 仅用于展示，不用于身份判定。
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2. 每个 wxid 最终只能输出一条记录，严禁重复输出同一个 wxid。
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3. 请先按 wxid 汇总该成员全天发言，再提取结果。
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4. 即使成员发言以短句为主，只要样本量足够，也必须尽量提炼：
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- topics
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- discussion_scenarios
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- skill_signals
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- problem_solving_signals
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- value_preferences
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- habit_signals
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- expression_markers
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- engagement_traits
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- reply_entry_points
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- social_role
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- temperament_signal
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- summary_text
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5. identity_clues、family_signals、life_stage_signals 没有明确公开证据时允许为空。
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6. 不允许因为“短句较多”就统一输出空数组和通用摘要。
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7. 不做心理诊断、不做隐私猜测、不把玩笑当事实。
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8. 只能输出候选成员列表中的 wxid。
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9. topics 更偏向反复出现的关注方向；discussion_scenarios 更偏向什么情境下会发言；skill_signals 更偏向能力表现；problem_solving_signals 更偏向怎么处理问题；value_preferences 更偏向判断偏好；social_role 更偏向当天在群里的实际作用。
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10. expression_markers 记录可观察的表达标记，如常用句式、口头禅、是否爱列步骤/贴日志；reply_entry_points 记录什么样的接话方式最容易接住他。
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11. 输出前自行去重，同一个 wxid 只保留一条最完整结果。
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输出要求：
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- 只输出严格 JSON，不要 markdown，不要解释，不要前后缀。
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- 输出格式：
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{
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"members": [
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{
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"wxid": "成员wxid",
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"display_name": "显示名",
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"topics": ["主题1"],
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"discussion_scenarios": ["场景1"],
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"identity_clues": ["身份线索1"],
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"skill_signals": ["技能信号1"],
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"problem_solving_signals": ["处理方式1"],
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"family_signals": ["家庭线索1"],
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"life_stage_signals": ["阶段线索1"],
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"value_preferences": ["价值偏好1"],
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"interaction_style": "一句中文",
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"message_pattern": "一句中文",
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"response_style_hint": "一句中文",
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"habit_signals": ["习惯1"],
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"expression_markers": ["表达标记1"],
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"engagement_traits": ["参与特征1"],
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"reply_entry_points": ["接话点1"],
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"decision_style": "一句中文",
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"social_role": "一句中文",
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"reply_taboos": ["避坑1"],
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"temperament_signal": "一句中文",
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"summary_text": "不超过100字",
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"representative_messages": ["原话1", "原话2"],
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"confidence": 0.95
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}
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]
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}
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字段约束：
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- topics、discussion_scenarios、skill_signals、problem_solving_signals、value_preferences、habit_signals、expression_markers、engagement_traits、reply_entry_points 最多 4 个
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- identity_clues、family_signals、life_stage_signals 最多 3 个
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- reply_taboos 最多 3 个
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- representative_messages 最多 3 条
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- 如果某成员样本明显不足，可以不输出该成员
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- id: user_prompt_member_context
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role: user
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text: |
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群ID: {{#start_node.chatroom_id#}}
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日期: {{#start_node.digest_date#}}
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候选成员:
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{{#start_node.member_labels#}}
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压缩后的群聊记录:
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{{#start_node.compressed_chat#}}
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selected: false
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title: 成员画像提取
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type: llm
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variables: []
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vision:
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enabled: false
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height: 98
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id: 'llm_node'
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position:
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x: 10
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y: 140
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positionAbsolute:
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x: 10
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y: 140
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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: 244
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- data:
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desc: ''
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outputs:
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- value_selector:
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- 'llm_node'
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- text
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variable: text
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selected: false
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title: 结束
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type: end
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height: 90
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id: 'end_node'
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position:
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x: 430
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y: 140
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positionAbsolute:
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x: 430
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y: 140
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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: 244
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viewport:
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x: 120
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y: 180
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zoom: 0.9
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