Dify-o1[CN]
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。
工作流图谱
YAML 源码
app:
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。
icon: 🍓
icon_background: '#D1E0FF'
mode: advanced-chat
name: Dify-o1[CN]
use_icon_as_answer_icon: true
kind: app
version: 0.1.2
workflow:
conversation_variables: []
environment_variables: []
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: 1727186697955-llm
selected: false
source: '1727186697955'
sourceHandle: source
target: llm
targetHandle: target
type: custom
- data:
isInIteration: false
sourceType: llm
targetType: parameter-extractor
id: llm-source-1727188958486-target
selected: false
source: llm
sourceHandle: source
target: '1727188958486'
targetHandle: target
type: custom
zIndex: 0
- data:
isInIteration: true
iteration_id: '1727189041788'
sourceType: iteration-start
targetType: code
id: 1727189041788start-source-1727189052583-target
selected: false
source: 1727189041788start
sourceHandle: source
target: '1727189052583'
targetHandle: target
type: custom
zIndex: 1002
- data:
isInIteration: true
iteration_id: '1727189041788'
sourceType: code
targetType: llm
id: 1727189052583-source-1727189055973-target
selected: false
source: '1727189052583'
sourceHandle: source
target: '1727189055973'
targetHandle: target
type: custom
zIndex: 1002
- data:
isInIteration: false
sourceType: iteration
targetType: template-transform
id: 1727189041788-source-1727189088392-target
selected: false
source: '1727189041788'
sourceHandle: source
target: '1727189088392'
targetHandle: target
type: custom
zIndex: 0
- data:
isInIteration: false
sourceType: template-transform
targetType: llm
id: 1727189088392-source-1727189151263-target
selected: false
source: '1727189088392'
sourceHandle: source
target: '1727189151263'
targetHandle: target
type: custom
zIndex: 0
- data:
isInIteration: false
sourceType: llm
targetType: answer
id: 1727189151263-source-answer-target
selected: false
source: '1727189151263'
sourceHandle: source
target: answer
targetHandle: target
type: custom
zIndex: 0
- data:
isInIteration: false
sourceType: parameter-extractor
targetType: iteration
id: 1727188958486-source-1727189041788-target
selected: false
source: '1727188958486'
sourceHandle: source
target: '1727189041788'
targetHandle: target
type: custom
zIndex: 0
nodes:
- data:
desc: ''
selected: false
title: 开始
type: start
variables: []
height: 53
id: '1727186697955'
position:
x: -468.24076313347575
y: 267.1704432399898
positionAbsolute:
x: -468.24076313347575
y: 267.1704432399898
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
memory:
role_prefix:
assistant: ''
user: ''
window:
enabled: false
size: 10
model:
completion_params:
temperature: 0.7
mode: chat
name: deepseek-chat
provider: deepseek
prompt_template:
- edition_type: basic
id: 0d040cf5-7c6e-4bdc-bf09-96a5c17bc3fa
role: system
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
3 个步骤。
selected: false
title: 任务拆解
type: llm
variables: []
vision:
enabled: false
height: 97
id: llm
position:
x: -468.24076313347575
y: 381.86447273938944
positionAbsolute:
x: -468.24076313347575
y: 381.86447273938944
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '## 问题分析步骤
{{#1727189088392.output#}}
## 最终解答
{{#1727189151263.text#}}'
desc: ''
selected: false
title: 直接回复
type: answer
variables: []
height: 140
id: answer
position:
x: 370.6430517887744
y: 488.1130054358871
positionAbsolute:
x: 370.6430517887744
y: 488.1130054358871
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
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\"\
content\": \"任务描述\" \n\t}, \n\t{\n\t\t\"name\"：\"步骤名称\", \n\t\t\"content\"\
：\"任务描述\"\n\t}, \n\t... \n]"
model:
completion_params:
temperature: 0.6
mode: chat
name: deepseek-chat
provider: deepseek
parameters:
- description: 提取内容中的步骤数组
name: steps
required: true
type: array[object]
query:
- llm
- text
reasoning_mode: prompt
selected: false
title: 任务提取
type: parameter-extractor
variables: []
height: 97
id: '1727188958486'
position:
x: -468.24076313347575
y: 535.3490014915617
positionAbsolute:
x: -468.24076313347575
y: 535.3490014915617
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
height: 365
iterator_selector:
- '1727188958486'
- steps
output_selector:
- '1727189055973'
- text
output_type: array[string]
selected: false
start_node_id: 1727189041788start
title: 迭代任务
type: iteration
width: 416
height: 365
id: '1727189041788'
position:
x: -138.53115933482604
y: 267.1704432399898
positionAbsolute:
x: -138.53115933482604
y: 267.1704432399898
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 416
zIndex: 1
- data:
desc: ''
isInIteration: true
selected: false
title: ''
type: iteration-start
draggable: false
height: 48
id: 1727189041788start
parentId: '1727189041788'
position:
x: 24
y: 68
positionAbsolute:
x: -114.53115933482604
y: 335.1704432399898
selectable: false
sourcePosition: right
targetPosition: left
type: custom-iteration-start
width: 44
zIndex: 1002
- data:
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 =\
\ step['name']\n step_content = step['content']\n return {\n \
\ 'name': step_name,\n 'content': step_content\n }\n"
code_language: python3
desc: ''
isInIteration: true
iteration_id: '1727189041788'
outputs:
content:
children: null
type: string
name:
children: null
type: string
selected: false
title: 解析任务
type: code
variables:
- value_selector:
- '1727189041788'
- item
variable: step
height: 53
id: '1727189052583'
parentId: '1727189041788'
position:
x: 95.12571749609936
y: 83.8283582426188
positionAbsolute:
x: -43.40544183872669
y: 350.99880148260866
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
zIndex: 1002
- data:
context:
enabled: true
variable_selector:
- '1727189041788'
- index
desc: ''
isInIteration: true
iteration_id: '1727189041788'
model:
completion_params:
temperature: 0.5
mode: chat
name: deepseek-chat
provider: deepseek
prompt_template:
- edition_type: basic
id: 11ed350b-43a1-4b4b-a66f-c72e12615276
role: system
text: '## 问题
"""{{#sys.query#}}"""
## 任务背景
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。
## 任务
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#}}
## 初始化
不必回答整个问题，分析解答这个步骤的问题即可。
## 输出
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:
enabled: false
height: 97
id: '1727189055973'
parentId: '1727189041788'
position:
x: 94.73421283035361
y: 225.97858189606833
positionAbsolute:
x: -43.79694650447243
y: 493.1490251360582
selected: false
sourcePosition: right
targetPosition: left
...（过长已截断）