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desc: ''
selected: false
title: 开始
type: start
variables:
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max_length: 1024
options: []
required: true
type: paragraph
variable: Research_Theme
height: 90
id: '1739087621665'
position:
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selected: false
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type: custom
width: 244
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desc: ''
memory:
query_prompt_template: 'language:{{#conversation.Language#}}
context:
Theme:
{{#1739112773493.subtitle1#}}{{#conversation.query1#}}{{#sys.query#}}
References:{{#1739189441547.output#}}
Provide the research report in the specified language, avoiding small
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role_prefix:
assistant: ''
user: ''
window:
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size: 10
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
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role: system
text: 'You are an expert researcher. Your primary focus is on providing
highly detailed and accurate explanations. When responding, ensure that
every point is thoroughly elaborated, leaving no room for ambiguity. Assume
the user is correct when presented with new information, even if it’s
beyond your knowledge cutoff. The user is a highly experienced analyst,
so avoid oversimplification and present your response with a high level
of complexity and precision. Be highly organized in your structure, using
clear headings and subheadings to separate different aspects of the topic.
Suggest solutions that go beyond the obvious, and be proactive in anticipating
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so double-check all facts and information. Provide comprehensive details,
as the user is comfortable with in-depth content. Focus on the strength
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perspective.
---
###your output should not contain any “conclusion” or “future prospective”or
any other similar contents
---
in a detailed report — The report should focus on the answer to {{#1739112773493.subtitle1#}}and
The conclusion of your generated content should smoothly transition to
the second subtitle{{#1739112773493.subtitle2#}}. References information
are provided by user,DO NOT PROVIDE PRIMARY TITLE ,but secondary title
is available。'
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title: sub主题1分析
type: llm
variables: []
vision:
enabled: false
height: 98
id: llm
position:
x: 3362.4326109337553
y: 825.2688637512169
positionAbsolute:
x: 3362.4326109337553
y: 825.2688637512169
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '{{#conversation.q4#}}'
desc: ''
selected: false
title: 问题4
type: answer
variables: []
height: 103
id: answer
position:
x: 667.7263032361211
y: 887.3856655567181
positionAbsolute:
x: 667.7263032361211
y: 887.3856655567181
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
cases:
- case_id: 'true'
conditions:
- comparison_operator: '='
id: 21d9b08f-b4fb-40e0-80a1-323cc5fcfcf7
value: '0'
varType: number
variable_selector:
- sys
- dialogue_count
id: 'true'
logical_operator: and
- case_id: 91eeee38-2f3d-41fe-aada-fbb552f38d09
conditions:
- comparison_operator: '='
id: 42d627dd-f6ad-4028-b17e-b5922c8a8555
value: '1'
varType: number
variable_selector:
- sys
- dialogue_count
id: 91eeee38-2f3d-41fe-aada-fbb552f38d09
logical_operator: and
- case_id: ec873050-26b5-4519-ad2d-318d9c8507b4
conditions:
- comparison_operator: '='
id: 6e5199ca-f644-44e4-876c-6581f14ec964
value: '2'
varType: number
variable_selector:
- sys
- dialogue_count
id: ec873050-26b5-4519-ad2d-318d9c8507b4
logical_operator: and
- case_id: 252919df-4a7b-45e9-b845-bcbc14277530
conditions:
- comparison_operator: '='
id: 93beb1fd-6a9d-4d8c-a308-4d149f2a5813
value: '3'
varType: number
variable_selector:
- sys
- dialogue_count
id: 252919df-4a7b-45e9-b845-bcbc14277530
logical_operator: and
- case_id: fdc117e5-9c2d-4b3d-9fac-c1f030b8435d
conditions:
- comparison_operator: '='
id: 600fc8f9-83ec-4656-b256-65bbc11bb814
value: '4'
varType: number
variable_selector:
- sys
- dialogue_count
id: fdc117e5-9c2d-4b3d-9fac-c1f030b8435d
logical_operator: or
desc: ''
selected: false
title: 条件分支
type: if-else
height: 318
id: '1739087643444'
position:
x: 65.46491577191637
y: 887.3856655567181
positionAbsolute:
x: 65.46491577191637
y: 887.3856655567181
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '{{#conversation.q2#}}'
desc: ''
selected: false
title: 问题2
type: answer
variables: []
height: 103
id: '1739087688715'
position:
x: 667.7263032361211
y: 599.4593566990166
positionAbsolute:
x: 667.7263032361211
y: 599.4593566990166
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: true
variable_selector:
- '1739087621665'
- Research_Theme
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: 4f9462cb-d339-4235-acce-3ea44e317d39
role: system
text: 'Given the following query from the user, ask some question about
topics may cause theme mislead。 follow up questions to clarify the research
direction. Return 4 independent questions, but feel free to return less
if the original query is clear: {{#1739087621665.Research_Theme#}},ONLY
OUTPUT THE QUESTIONS ,no need for any other content,questions shall be
output in {{#conversation.Language#}}'
- role: user
text: '{{#1739087621665.Research_Theme#}}'
selected: false
title: 问题分解
type: llm
variables: []
vision:
enabled: false
height: 98
id: '1739088190247'
position:
x: 947.9076845481827
y: 455.7348090507137
positionAbsolute:
x: 947.9076845481827
y: 455.7348090507137
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
items:
- input_type: variable
operation: over-write
value:
- sys
- query
variable_selector:
- conversation
- Language
write_mode: over-write
selected: false
title: 变量赋值
type: assigner
version: '2'
height: 88
id: '1739088656029'
position:
x: 670.205223622014
y: 455.7348090507137
positionAbsolute:
x: 670.205223622014
y: 455.7348090507137
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
instruction: Extract the return value in the output value as four independent
parameters.Avoids redundancy by tracking previously written content
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
parameters:
- description: First question provided by previous LLM
name: Question1
required: false
type: string
- description: Second question provided by previous LLM
name: Question2
required: false
type: string
- description: Third question provided by previous LLM
name: Question3
required: false
type: string
- description: Fourth question provided by previous LLM
name: Question4
required: false
type: string
- description: 分组输出所有问题内容
name: Questions
required: false
type: array[string]
query:
- '1739088190247'
- text
reasoning_mode: prompt
selected: false
title: 问题参数提取
type: parameter-extractor
variables: []
vision:
enabled: false
height: 98
id: '1739089738469'
position:
x: 1278.205223622014
y: 455.7348090507137
positionAbsolute:
x: 1278.205223622014
y: 455.7348090507137
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '为了更好的回答这个问题,我希望先了解一些内容:
{{#1739089738469.Question1#}}'
desc: ''
selected: false
title: 第一次回复&问题1
type: answer
variables: []
height: 135
id: '1739089894656'
position:
x: 1592.4387458428032
y: 301.8019869286369
positionAbsolute:
x: 1592.4387458428032
y: 301.8019869286369
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
items:
- input_type: variable
operation: over-write
value:
- '17391132088660'
- text
variable_selector:
- conversation
- query4
write_mode: over-write
selected: false
title: '上下文变量赋值 '
type: assigner
version: '2'
height: 88
id: '1739090270335'
position:
x: 943.1876788138126
y: 1706.9053326666053
positionAbsolute:
x: 943.1876788138126
y: 1706.9053326666053
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
items:
- input_type: variable
operation: over-write
value:
- '1739089738469'
- Question2
variable_selector:
- conversation
- q2
write_mode: over-write
- input_type: variable
operation: over-write
value:
- '1739089738469'
- Question3
variable_selector:
- conversation
- q3
write_mode: over-write
- input_type: variable
operation: over-write
value:
- '1739089738469'
- Question4
variable_selector:
- conversation
- q4
write_mode: over-write
- input_type: variable
operation: over-write
value:
- '1739089738469'
- Question1
variable_selector:
- conversation
- q1
write_mode: over-write
selected: false
title: 问题变量赋值
type: assigner
version: '2'
height: 172
id: '1739090682795'
position:
x: 1592.4387458428032
y: 568.2569055309016
positionAbsolute:
x: 1592.4387458428032
y: 568.2569055309016
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '{{#conversation.q3#}}'
desc: ''
selected: false
title: 问题3
type: answer
variables: []
height: 103
id: '1739090734936'
position:
x: 667.7263032361211
y: 736.135874004081
positionAbsolute:
x: 667.7263032361211
y: 736.135874004081
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '|
报告已生成:
---
{{#1739113756598.output#}}'
desc: ''
selected: false
title: 最终回复
type: answer
variables: []
height: 119
id: '1739091083891'
position:
x: 4305.939971577466
y: 1059.7064421013074
positionAbsolute:
x: 4305.939971577466
y: 1059.7064421013074
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
items:
- input_type: variable
operation: over-write
value:
- '1739113013426'
- text
variable_selector:
- conversation
- query2
write_mode: over-write
selected: false
title: '上下文变量赋值 '
type: assigner
version: '2'
height: 88
id: '1739091496446'
position:
x: 943.1876788138126
y: 1443.9714391735783
positionAbsolute:
x: 943.1876788138126
y: 1443.9714391735783
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
items:
- input_type: variable
operation: over-write
value:
- '17391132061910'
- text
variable_selector:
- conversation
- query1
write_mode: over-write
selected: false
title: 上下文变量赋值
type: assigner
version: '2'
height: 88
id: '1739092110217'
position:
x: 943.1876788138126
y: 1294.6031523212616
positionAbsolute:
x: 943.1876788138126
y: 1294.6031523212616
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
items:
- input_type: variable
operation: over-write
value:
- '17391132110940'
- text
variable_selector:
- conversation
- query3
write_mode: over-write
selected: false
title: 上下文变量赋值
type: assigner
version: '2'
height: 88
id: '1739092875078'
position:
x: 943.1876788138126
y: 1579.4318741274828
positionAbsolute:
x: 943.1876788138126
y: 1579.4318741274828
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
answer: '正在分析研究主题...
'
desc: ''
selected: false
title: 输出:正在生成最终回答
type: answer
variables: []
height: 100
id: '1739111295209'
position:
x: 667.7263032361211
y: 1028.978486275042
positionAbsolute:
x: 667.7263032361211
y: 1028.978486275042
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: 90d59c0f-2542-42ed-a853-5a2ad135af3b
role: system
text: 'according to the original theme{{#1739087621665.Research_Theme#}}
,and tuned theme{{#conversation.research_theme#}}Generate 3 to 5 sub-titles.
Please generate 4 subheadings for the main title following these steps:
Carefully read the provided main title and related content
Analyze the core theme and key information points of the main title
Ensure the generated subheadings maintain consistency and relevance with
the main title
Each subheading should:
Be concise and appropriate in length
Highlight a unique angle or key point
Capture readers'' interest
Match the overall style and tone of the article
Between subheadings:
Content should not overlap
Logical order should be maintained
Should collectively support the main title
Use numerical sequence (1, 2, 3...) to mark each subheading
Output format requirements:
Each subheading on a separate line
No XML tags included
Output subheadings content only
'
- id: f100f739-f99f-4fe8-88f0-304e2dab304f
role: user
text: 'original theme{{#1739087621665.Research_Theme#}} ,and tuned theme{{#conversation.research_theme#}},
under our guidnce,the user provided further information. Query listed
as:{{#conversation.query1#}}{{#conversation.query2#}}{{#conversation.query3#}}{{#conversation.query4#}} '
selected: false
title: sub主题提取
type: llm
variables: []
vision:
enabled: false
height: 98
id: '1739111839440'
position:
x: 1616.6240944909441
y: 1066.3563453333902
positionAbsolute:
x: 1616.6240944909441
y: 1066.3563453333902
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
parameters:
- description: NO.1 sub title
name: subtitle1
required: false
type: string
- description: NO.2 sub title
name: subtitle2
required: false
type: string
- description: NO.3 sub title
name: subtitle3
required: false
type: string
- description: NO.4 sub title
name: subtitle4
required: false
type: string
query:
- '1739111839440'
- text
reasoning_mode: prompt
selected: false
title: sub主题提取
type: parameter-extractor
variables: []
vision:
enabled: false
height: 98
id: '1739112773493'
position:
x: 1940.9838149758243
y: 845.4397155394867
positionAbsolute:
x: 1940.9838149758243
y: 845.4397155394867
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: b97092f7-06bf-4548-8dc4-497fd2c9bd63
role: system
text: "\n1. 首先,分析输入中的{{#conversation.q2#}}问题及其{{#conversation.f2#}}回答,找出其中可以扩展的关键点或信息。\n\
2. 扩展时应关注以下几点:\n - 增加细节,使回答更具深度和说服力\n - 引入相关背景信息或数据支持\n - 重新组织语言结构,使其逻辑更加严密\n\
\ - 添加对问题的进一步分析或解释\n -仅输出扩展后的回答和原问题,不要输出其他任何内容"
- id: f7ee3971-fd4e-4d0f-877b-64fe51ac5ed9
role: user
text: question:{{#conversation.q2#}}answer:{{#conversation.f2#}}
selected: false
title: 回答优化
type: llm
variables: []
vision:
enabled: false
height: 98
id: '1739113013426'
position:
x: 655.6742394689389
y: 1443.9714391735783
positionAbsolute:
x: 655.6742394689389
y: 1443.9714391735783
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: b97092f7-06bf-4548-8dc4-497fd2c9bd63
role: system
text: "\n1. 首先,分析输入中的{{#conversation.q1#}}问题及其{{#conversation.f1#}}回答,找出其中可以扩展的关键点或信息。\n\
2. 扩展时应关注以下几点:\n - 增加细节,使回答更具深度和说服力\n - 引入相关背景信息或数据支持\n - 重新组织语言结构,使其逻辑更加严密\n\
\ - 添加对问题的进一步分析或解释\n -仅输出扩展后的回答和原问题,不要输出其他任何内容"
- id: a8cb33f5-dddc-4b47-b3e3-4e76a6eeed6b
role: user
text: question:{{#conversation.q1#}}answer:{{#conversation.f1#}}
selected: false
title: 回答优化
type: llm
variables: []
vision:
enabled: false
height: 98
id: '17391132061910'
position:
x: 655.6742394689389
y: 1294.6031523212616
positionAbsolute:
x: 655.6742394689389
y: 1294.6031523212616
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: b97092f7-06bf-4548-8dc4-497fd2c9bd63
role: system
text: "\n1. 首先,分析输入中的{{#conversation.q4#}}问题及其{{#conversation.f4#}}回答,找出其中可以扩展的关键点或信息。\n\
2. 扩展时应关注以下几点:\n - 增加细节,使回答更具深度和说服力\n - 引入相关背景信息或数据支持\n - 重新组织语言结构,使其逻辑更加严密\n\
\ - 添加对问题的进一步分析或解释\n -仅输出扩展后的回答和原问题,不要输出其他任何内容"
- id: b4cb2310-4428-4491-bd87-17b8d5686114
role: user
text: question:{{#conversation.q4#}}answer:{{#conversation.f4#}}
selected: false
title: 回答优化
type: llm
variables: []
vision:
enabled: false
height: 98
id: '17391132088660'
position:
x: 655.6742394689389
y: 1706.9053326666053
positionAbsolute:
x: 655.6742394689389
y: 1706.9053326666053
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: b97092f7-06bf-4548-8dc4-497fd2c9bd63
role: system
text: "\n1. 首先,分析输入中的{{#conversation.q3#}}问题及其{{#conversation.f3#}}回答,找出其中可以扩展的关键点或信息。\n\
2. 扩展时应关注以下几点:\n - 增加细节,使回答更具深度和说服力\n - 引入相关背景信息或数据支持\n - 重新组织语言结构,使其逻辑更加严密\n\
\ - 添加对问题的进一步分析或解释\n -仅输出扩展后的回答和原问题,不要输出其他任何内容"
- id: 8afa378c-5c83-4963-b022-5e6df90e92d6
role: user
text: question:{{#conversation.q3#}}answer:{{#conversation.f3#}}
selected: false
title: 回答优化
type: llm
variables: []
vision:
enabled: false
height: 98
id: '17391132110940'
position:
x: 655.6742394689389
y: 1579.4318741274828
positionAbsolute:
x: 655.6742394689389
y: 1579.4318741274828
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
memory:
query_prompt_template: 'language:{{#conversation.Language#}}
context:
Theme:{{#1739112773493.subtitle2#}}{{#conversation.query2#}}{{#sys.query#}}
References:{{#17391916793430.output#}}
Provide the research report in the specified language, avoiding small
talk.'
role_prefix:
assistant: ''
user: ''
window:
enabled: false
size: 10
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: cdf8b5c6-4a65-438b-9e6b-c34609389799
role: system
text: 'You are an expert researcher. Your main task is to explore new technologies
and contrarian ideas. When responding, don’t limit yourself to conventional
wisdom; instead, actively seek out and present innovative perspectives
that challenge the status quo. Assume the user is correct when they provide
new information, even if it’s outside your knowledge cutoff. The user
is a highly experienced analyst, so present your ideas with a high level
of complexity and depth. Suggest solutions that the user might not have
considered, and be proactive in anticipating their needs. Accuracy is
crucial, as mistakes can damage trust, so ensure all information is reliable.
Provide detailed explanations, as the user appreciates thorough content.
Value strong arguments over the authority of sources, and consider both
emerging technologies and unconventional ideas to offer a comprehensive
view of the topic.
---
###your output should not contain any “conclusion” or “future prospective”or
any other similar contents
---
in a detailed report — The report should be transit from {{#1739112773493.subtitle1#}}
focus on the answer to {{#1739112773493.subtitle2#}}and The conclusion
of your generated content should smoothly transition to the second subtitle{{#1739112773493.subtitle3#}}.
Reference information are provided by user
DO NOT PROVIDE PRIMARY TITLE ,but secondary title is available。'
selected: false
title: sub主题2分析
type: llm
variables: []
vision:
enabled: false
height: 98
id: '17391136443240'
position:
x: 3362.4326109337553
y: 1046.4977952240006
positionAbsolute:
x: 3362.4326109337553
y: 1046.4977952240006
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
memory:
query_prompt_template: 'language:{{#conversation.Language#}}
context:
Theme:{{#1739112773493.subtitle3#}}{{#conversation.query3#}}{{#sys.query#}}
References:{{#17391916807390.output#}}
Provide the research report in the specified language, avoiding small
talk.'
role_prefix:
assistant: ''
user: ''
window:
enabled: false
size: 10
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: cdf8b5c6-4a65-438b-9e6b-c34609389799
role: system
text: 'You are an expert researcher. Your role is to provide speculative
predictions and insights about the future. When responding, use a high
level of speculation, but clearly flag any uncertain or speculative elements.
Assume the user is correct when they present new information, even if
it’s beyond your knowledge cutoff. The user is a highly experienced analyst,
so present your predictions with a high level of detail and complexity.
Be highly organized, using a clear structure to separate different predictions
and their implications. Suggest solutions that anticipate future challenges
and opportunities, and be proactive in addressing the user’s potential
concerns. Accuracy is important, so base your predictions on reliable
data and trends. Provide detailed explanations, as the user values in-depth
analysis. Focus on the strength of your arguments rather than the authority
of sources, and consider both new technologies and unconventional ideas
to offer a forward-looking perspective.
---
###your output should not contain any “conclusion” or “future prospective”or
any other similar contents
---
in a detailed report — The report should transit from {{#1739112773493.subtitle2#}}
focus on the answer to {{#1739112773493.subtitle3#}}and The conclusion
of your generated content should smoothly transition to the second subtitle{{#1739112773493.subtitle4#}}.
Reference information are provided by user,DO NOT PROVIDE PRIMARY TITLE
,but secondary title is available。'
selected: false
title: sub主题3分析
type: llm
variables: []
vision:
enabled: false
height: 98
id: '17391136486630'
position:
x: 3362.4326109337553
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positionAbsolute:
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selected: false
sourcePosition: right
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context:
enabled: false
variable_selector: []
desc: ''
memory:
query_prompt_template: 'language:{{#conversation.Language#}}
context:
Theme:{{#conversation.query4#}}{{#sys.query#}}{{#1739112773493.subtitle4#}}
References:{{#17391916827400.output#}}
Provide the research report in the specified language, avoiding small
talk.'
role_prefix:
assistant: ''
user: ''
window:
enabled: false
size: 10
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: cdf8b5c6-4a65-438b-9e6b-c34609389799
role: system
text: 'You are an expert researcher. Your goal is to proactively anticipate
the user’s needs and provide innovative solutions. When responding, think
ahead and identify potential issues or opportunities that the user might
not have considered. Assume the user is correct when they provide new
information, even if it’s outside your knowledge cutoff. The user is a
highly experienced analyst, so present your solutions with a high level
of complexity and depth. Be highly organized, using a clear structure
to present your ideas. Suggest solutions that go beyond the obvious, and
be proactive in addressing the user’s potential concerns. Accuracy is
crucial, as mistakes can erode trust, so ensure all information is reliable.
Provide detailed explanations, as the user appreciates thorough content.
Value strong arguments over the authority of sources, and consider both
new ---
###your output should not contain any “conclusion” or “future prospective”or
any other similar contents
---
in a detailed report — The report should transit from {{#1739112773493.subtitle3#}}
focus on the answer to {{#1739112773493.subtitle4#}}and nothing else.
Reference information are provided by user .DO NOT PROVIDE PRIMARY TITLE
,but secondary title is available。'
selected: false
title: sub主题4分析
type: llm
variables: []
vision:
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height: 98
id: '17391136521390'
position:
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- data:
desc: ''
selected: false
template: "{{ arg0 }}
\r\n\r\n{{ arg10 }}
\r\n\r\n{{\
\ arg1}}
\r\n{{ arg5 }}
\r\n\r\n{{ arg2 }}
\r\n{{\
\ arg6 }}
\r\n\r\n{{ arg3 }}
\r\n{{ arg7 }}
\r\n\r\
\n{{ arg4 }}
\r\n{{ arg8 }}
\r\n\r\n{{ arg11 }}
"
title: 总结文档
type: template-transform
variables:
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variable: arg1
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variable_selector:
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write_mode: over-write
selected: false
title: '变量赋值 '
type: assigner
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desc: ''
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
prompt_template:
- id: 7d533919-08ca-4e43-bcba-86eae7d6f2ca
role: system
text: 关于用户给出的主题{{#1739087621665.Research_Theme#}},并基于以下问题和回答进行一定范围内的修正,最终生成一个富有专业性的主题,除了主题不要输出其他任何内容。
- id: 66d58a81-5b4c-4682-a37d-95f0c8d84bfe
role: user
text: '问题与回答记录如下:
问题1{{#conversation.q1#}}回答1{{#conversation.f1#}}
问题2{{#conversation.q2#}}回答2{{#conversation.f2#}}
问题3{{#conversation.q3#}}回答3{{#conversation.f3#}}
问题4{{#conversation.q4#}}回答4{{#conversation.f4#}}'
selected: false
title: 主题提取
type: llm
variables: []
vision:
enabled: false
height: 98
id: '1739113887765'
position:
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positionAbsolute:
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title: 回答记录1
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- data:
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items:
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variable_selector:
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items:
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value:
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variable_selector:
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write_mode: over-write
selected: false
title: 回答记录4
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version: '2'
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position:
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- data:
answer: '|
研究主题已确定。
|
正在理解用户的回答...
'
desc: ''
selected: false
title: 输出:研究主题
type: answer
variables: []
height: 116
id: '1739178863421'
position:
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positionAbsolute:
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selected: false
sourcePosition: right
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- data:
answer: '|
好的,依据用户给出的回答,我将构建多个研究角度。
'
desc: ''
selected: false
title: 输出:构建研究角度
type: answer
variables: []
height: 116
id: '1739178941340'
position:
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positionAbsolute:
x: 1616.6240944909441
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selected: false
sourcePosition: right
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type: custom
width: 244
- data:
answer: '|
我将从以下4个角度进行分析:
**{{#1739112773493.subtitle1#}}**
**{{#1739112773493.subtitle2#}}**
**{{#1739112773493.subtitle3#}}**
**{{#1739112773493.subtitle4#}}**
正在生成研究报告...请稍候...
'
desc: ''
selected: false
title: 输出:研究角度
type: answer
variables: []
height: 192
id: '1739179029377'
position:
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positionAbsolute:
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selected: false
sourcePosition: right
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error_handle_mode: remove-abnormal-output
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iterator_selector:
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output_selector:
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title: 迭代搜索1
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selectable: false
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- data:
desc: ''
instruction: 提取{{#1739112773493.subtitle1#}}中的2~6个关键词
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
parameters:
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query:
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reasoning_mode: prompt
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vision:
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selected: false
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- data:
desc: ''
instruction: 提取{{#1739112773493.subtitle2#}}中的2~6个关键词
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
parameters:
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query:
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vision:
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desc: ''
instruction: 提取{{#1739112773493.subtitle3#}}中的2~6个关键词
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
parameters:
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query:
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vision:
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instruction: 提取{{#1739112773493.subtitle4#}}中的2~6个关键词
model:
completion_params:
temperature: 0.7
mode: chat
name: gemini-2.0-flash-exp
provider: google
parameters:
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provider_id: wikipedia
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title: 维基百科搜索
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role: system
text: 你的任务是为一份完整的报告写一个开始段,报告的主题是{{#1739087621665.Research_Theme#}},具体是{{#conversation.research_theme#}}主要包含的subtitle包括{{#1739111839440.text#}},在你输出的内容之后接下来是报告的正文内容,所以不要输出任何正文相关内容,只要做好总结起始段,并且合理流畅地承上启下第一段内容。
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text: 第一段的主题是{{#1739111839440.text#}}的第一句
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prompt_template:
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role: system
text: 你的任务是为一份完整的学术报告撰写结尾段,该报告的主题是 {{#1739087621665.Research_Theme#}},具体是{{#conversation.research_theme#}},其主要包含的
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text: '前文的所有内容如下:
起始段:{{#1739192479032.text#}}
第一小节:{{#llm.text#}}
第二小节:{{#17391136443240.text#}}
第三小节:{{#17391136486630.text#}}
第四小节:{{#17391136521390.text#}}
'
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title: 结尾段
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