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https://github.com/svcvit/Awesome-Dify-Workflow.git
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低仿gpt-o1 的思维链工作流
This commit is contained in:
svcvit
@@ -0,0 +1,491 @@
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app:
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description: 使用常规大语言模型模拟 o1 的思维链，具备更强的推理能力。
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icon: 🍓
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icon_background: '#D1E0FF'
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mode: advanced-chat
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name: llm→o1
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use_icon_as_answer_icon: true
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kind: app
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version: 0.1.2
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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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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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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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sourceType: start
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||||
targetType: llm
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id: 1727186697955-llm
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selected: false
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||||
source: '1727186697955'
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sourceHandle: source
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||||
target: llm
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targetHandle: target
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||||
type: custom
|
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- data:
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||||
isInIteration: false
|
||||
sourceType: llm
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||||
targetType: parameter-extractor
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||||
id: llm-source-1727188958486-target
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selected: false
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source: llm
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sourceHandle: source
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target: '1727188958486'
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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: true
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iteration_id: '1727189041788'
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sourceType: iteration-start
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targetType: code
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selected: false
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source: 1727189041788start
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target: '1727189052583'
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targetHandle: target
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- data:
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isInIteration: true
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iteration_id: '1727189041788'
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sourceType: code
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targetType: llm
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id: 1727189052583-source-1727189055973-target
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selected: false
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source: '1727189052583'
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sourceHandle: source
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target: '1727189055973'
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targetHandle: target
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type: custom
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zIndex: 1002
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isInIteration: false
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sourceType: iteration
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id: 1727189041788-source-1727189088392-target
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selected: false
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source: '1727189041788'
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sourceHandle: source
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zIndex: 0
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isInIteration: false
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sourceType: template-transform
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targetType: llm
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id: 1727189088392-source-1727189151263-target
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selected: false
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source: '1727189088392'
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sourceHandle: source
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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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sourceType: llm
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targetType: answer
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id: 1727189151263-source-answer-target
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||||
selected: false
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||||
source: '1727189151263'
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sourceHandle: source
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target: answer
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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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sourceType: parameter-extractor
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targetType: iteration
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id: 1727188958486-source-1727189041788-target
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selected: false
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source: '1727188958486'
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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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height: 54
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id: '1727186697955'
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position:
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positionAbsolute:
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targetPosition: left
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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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||||
desc: ''
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||||
memory:
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||||
role_prefix:
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||||
assistant: ''
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||||
user: ''
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window:
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enabled: false
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size: 10
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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: gpt-4o
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provider: openai
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prompt_template:
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- edition_type: basic
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id: 0d040cf5-7c6e-4bdc-bf09-96a5c17bc3fa
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role: system
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text: 你是一个能够进行详细、逐步思考的AI助手。收到问题后，不要直接给出答案，而是通过分步推理将问题拆分出相应的解题步骤，只需给出步骤的名称和任务描述，不要自行解答，至少要保证有
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3 个步骤。
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selected: false
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title: 任务拆解
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type: llm
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variables: []
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||||
vision:
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||||
configs:
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detail: high
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||||
enabled: true
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height: 98
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||||
id: llm
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position:
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positionAbsolute:
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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: 244
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- data:
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answer: '## 问题分析步骤
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{{#1727189088392.output#}}
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## 最终解答
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{{#1727189151263.text#}}'
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desc: ''
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||||
selected: false
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||||
title: 直接回复
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||||
type: answer
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||||
variables: []
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||||
height: 141
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||||
id: answer
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||||
position:
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positionAbsolute:
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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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||||
instruction: "提取内容中的步骤数组，示例如下： \n[ \n\t{ \n\t\t\"name\": \"步骤名称\", \n\t\t\"\
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content\": \"任务描述\" \n\t}, \n\t{\n\t\t\"name\"：\"步骤名称\", \n\t\t\"content\"\
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：\"任务描述\"\n\t}, \n\t... \n]"
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model:
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||||
completion_params:
|
||||
temperature: 0.7
|
||||
mode: chat
|
||||
name: gpt-4o-mini
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||||
provider: openai
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||||
parameters:
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||||
- description: 提取内容中的步骤数组
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||||
name: steps
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||||
required: true
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type: array[object]
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query:
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- llm
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||||
- text
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||||
reasoning_mode: prompt
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||||
selected: false
|
||||
title: 任务提取
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||||
type: parameter-extractor
|
||||
variables: []
|
||||
height: 98
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id: '1727188958486'
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position:
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x: -468.24076313347575
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positionAbsolute:
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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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||||
height: 365
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iterator_selector:
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||||
- '1727188958486'
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- steps
|
||||
output_selector:
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- '1727189055973'
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- text
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||||
output_type: array[string]
|
||||
selected: false
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||||
start_node_id: 1727189041788start
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||||
title: 迭代任务
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||||
type: iteration
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width: 416
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height: 365
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id: '1727189041788'
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type: custom
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width: 416
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zIndex: 1
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desc: ''
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isInIteration: true
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selected: false
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title: ''
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type: iteration-start
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draggable: false
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type: custom-iteration-start
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width: 44
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- data:
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||||
code: "\ndef main(step) -> dict:\n # 清洗得到只包含步骤名称和内容的字典\n step_name =\
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\ step['name']\n step_content = step['content']\n return {\n \
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\ 'name': step_name,\n 'content': step_content\n }\n"
|
||||
code_language: python3
|
||||
desc: ''
|
||||
isInIteration: true
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iteration_id: '1727189041788'
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||||
outputs:
|
||||
content:
|
||||
children: null
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type: string
|
||||
name:
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||||
children: null
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||||
type: string
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||||
selected: false
|
||||
title: 解析任务
|
||||
type: code
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||||
variables:
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- '1727189041788'
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- index
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desc: ''
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isInIteration: true
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iteration_id: '1727189041788'
|
||||
model:
|
||||
completion_params:
|
||||
temperature: 0.7
|
||||
mode: chat
|
||||
name: gpt-4o
|
||||
provider: openai
|
||||
prompt_template:
|
||||
- edition_type: basic
|
||||
id: 11ed350b-43a1-4b4b-a66f-c72e12615276
|
||||
role: system
|
||||
text: '## 问题
|
||||
|
||||
"""{{#sys.query#}}"""
|
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|
||||
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## 任务背景
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||||
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这是工作流中的一个环节，前面的工作流流程会将问题拆分出 N 个步骤。
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||||
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## 任务
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根据问题拆分出的步骤，解答指定步骤的任务，本轮任务名称：{{#1727189052583.name#}}，任务描述：{{#1727189052583.content#}}
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||||
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||||
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## 初始化
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||||
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不必回答整个问题，分析解答这个步骤的问题即可。
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## 输出
|
||||
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采用 Markdown 输出解答，示例如下：
|
||||
|
||||
- {{#1727189052583.name#}}：【步骤解答】'
|
||||
selected: false
|
||||
title: 执行任务
|
||||
type: llm
|
||||
variables: []
|
||||
vision:
|
||||
configs:
|
||||
detail: high
|
||||
enabled: true
|
||||
height: 98
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id: '1727189055973'
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parentId: '1727189041788'
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position:
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y: 225.97858189606833
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positionAbsolute:
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x: -43.79694650447243
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y: 493.1490251360582
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selected: false
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||||
sourcePosition: right
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||||
targetPosition: left
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||||
type: custom
|
||||
width: 244
|
||||
zIndex: 1002
|
||||
- data:
|
||||
desc: ''
|
||||
selected: false
|
||||
template: '{{ step_answer | join("\n")}}'
|
||||
title: 合并结果
|
||||
type: template-transform
|
||||
variables:
|
||||
- value_selector:
|
||||
- '1727189041788'
|
||||
- output
|
||||
variable: step_answer
|
||||
height: 54
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id: '1727189088392'
|
||||
position:
|
||||
x: 370.6430517887744
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y: 267.1704432399898
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positionAbsolute:
|
||||
x: 370.6430517887744
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y: 267.1704432399898
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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:
|
||||
context:
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||||
enabled: false
|
||||
variable_selector: []
|
||||
desc: ''
|
||||
model:
|
||||
completion_params:
|
||||
temperature: 0.7
|
||||
mode: chat
|
||||
name: gpt-4o
|
||||
provider: openai
|
||||
prompt_template:
|
||||
- edition_type: basic
|
||||
id: e6416010-f755-4c0b-9aa9-f3727bf28ca4
|
||||
role: system
|
||||
text: '## 原问题
|
||||
|
||||
"""{{#sys.query#}}"""
|
||||
|
||||
|
||||
## 任务
|
||||
|
||||
检查原问题，并归纳以下分析（请注意可能会出错，发现错误请进行纠正），最后给出问题最终答案，答案言简意赅即可。
|
||||
|
||||
{{#1727189088392.output#}}'
|
||||
selected: false
|
||||
title: 归纳答案
|
||||
type: llm
|
||||
variables: []
|
||||
vision:
|
||||
configs:
|
||||
detail: high
|
||||
enabled: true
|
||||
height: 98
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id: '1727189151263'
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position:
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x: 370.6430517887744
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y: 356.79597592747405
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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: 21.432651797610276
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||||
y: -203.0067787013104
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||||
zoom: 1.2799680131746822
|
||||
@@ -33,6 +33,7 @@
|
||||
| `Text to Card Iteration.yml` | 自动生成小红书这种卡片。 | 🔥Dify Workflow-Agent 设计交流 @Arthur |
|
||||
| `Dify 运营一条龙.yml` | 小红书、抖音、微博、B 站一条龙运营  | [Dify 一键生成多尺寸 Cover 与全平台文案](https://www.youtube.com/watch?v=kCrQp8YZTsQ) |
|
||||
| `Jina Reader Jinja.yml` | 一个基于 TavilySearch 和 Jina 的问答流程  | 🔥Dify Workflow-Agent 设计交流群分享 |
|
||||
| `llm2o1.cn.yml` | 任务拆解→提取步骤→迭代步骤执行→归纳总结→输出结果  | 🔥Dify Workflow-Agent 设计交流群分享 |
|
||||
|
||||
## 聊天机器人
|
||||
|
||||
@@ -40,7 +41,7 @@
|
||||
| ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------ |
|
||||
| `根据用户的意图进行回复.yml` | 根据用户的聊天内容，进行意图判定，根据意图选择不同的工作流路径进行回复，再风格化聊天机器人话术  | 无 |
|
||||
| `mem0ai` | 一个有记忆的聊天流程，完整代码见来源链接  | [dify-plugin-mem0ai](https://github.com/tonori/dify-plugin-mem0ai) |
|
||||
| `记忆测试.yml` | 添加短期记忆，CoT 思维链的示例，自动问答机器人也可以主动触达，根据上下文选择最佳回复  | 来自微信分享 svcvit |
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| `记忆测试.yml` | 添加短期记忆，CoT 思维链的示例，自动问答机器人也可以主动触达，根据上下文选择最佳回复  | [@okooo5km](https://x.com/okooo5km/status/1838801763778072862) |
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## 代码
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