GPT-Researcher
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工作流图谱
YAML 源码
app:
description: ''
icon: face_with_monocle
icon_background: '#FFE4E8'
mode: workflow
name: 'GPT-Researcher '
use_icon_as_answer_icon: false
dependencies:
- current_identifier: null
type: marketplace
value:
marketplace_plugin_unique_identifier: langgenius/openai:0.0.13@9caa0421b5519db036aaccdbf1980d1071550767d6c59e9d9388dd386a92e9f6
kind: app
version: 0.1.5
workflow:
conversation_variables: []
environment_variables: []
features:
file_upload:
allowed_file_extensions:
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- .JPEG
- .PNG
- .GIF
- .WEBP
- .SVG
allowed_file_types:
- image
allowed_file_upload_methods:
- local_file
- remote_url
enabled: false
fileUploadConfig:
audio_file_size_limit: 50
batch_count_limit: 5
file_size_limit: 15
image_file_size_limit: 10
video_file_size_limit: 100
workflow_file_upload_limit: 10
image:
enabled: false
number_limits: 3
transfer_methods:
- local_file
- remote_url
number_limits: 3
opening_statement: ''
retriever_resource:
enabled: true
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:
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isInIteration: false
sourceType: start
targetType: llm
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targetType: tool
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targetType: parameter-extractor
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selected: false
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nodes:
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desc: ''
selected: false
title: start
type: start
variables:
- label: title
max_length: 100
options: []
required: true
type: text-input
variable: title
- label: language
max_length: 48
options:
- 中文
- English
- 日本語
required: true
type: select
variable: language
height: 116
id: '1730257085761'
position:
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y: 248.5
positionAbsolute:
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selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
temperature: 1
mode: chat
name: claude-3-5-sonnet-20241022
provider: langgenius/anthropic/anthropic
prompt_template:
- id: e18aef50-3449-4259-9559-c4d17101d533
role: system
text: "<instruction>\n<task_description>\nGenerate a series of appropriate\
\ search engine queries to break down questions based on user inquiries\n\
</task_description>\n\n<examples>\n<example>\nInput: User asks how to\
\ learn programming\nOutput: 'programming learning methods, 'programming\
\ tutorials for beginners'\n</example>\n\n<example>\nInput: User wants\
\ to understand latest technology trends \nOutput: 'tech trends 2021',\
\ 'latest technology news'\n</example>\n\n<example>\nInput: User seeks\
\ healthy eating advice\nOutput: 'healthy eating guide', 'balanced nutrition\
\ diet'\n</example>\n</examples>\n\n<instructions>\n1. Take user's question\
\ as input.\n2. Identify relevant keywords or phrases based on the topic\
\ of user's question.\n3. Use these keywords or phrases to make search\
\ engine queries.\n4. Generate a series of appropriate search engine queries\
\ to help break down user's question.\n5. Ensure output content does not\
\ contain any xml tags.\n6.The output must be pure and conform to the\
\ <example> style without other explanations.\n7.Break down into at least\
\ 4-6 subproblems.\n8.Output is separated only by commas.\n</instructions>"
- id: b0e446f2-b714-41e9-8eb6-292187a97796
role: user
text: 'title：{{#1730257085761.title#}}
language：{{#1730257085761.language#}}
The output must be pure and conform to the <example> style without other
explanations.
Output is separated only by commas.
Break down into at least 4-6 subproblems.'
selected: false
title: LL...（过长已截断）