891 lines
58 KiB
JSON
891 lines
58 KiB
JSON
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{
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"id": 6,
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"title": "DB Assistant",
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"description": "An advanced agent that converts user queries into SQL statements, executes the queries, and assesses and returns the results. You must prepare three knowledge bases: 1: DDL for your database; 2: Examples of user queries converted to SQL statements; 3: A comprehensive description of your database, including but not limited to tables and records. You are also required to configure the corresponding database.",
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"canvas_type": "chatbot",
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"dsl": {
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"answer": [],
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"components": {
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"Answer:SocialAdsWonder": {
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"downstream": [
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"RewriteQuestion:WildIdeasTell"
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],
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"obj": {
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"component_name": "Answer",
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"inputs": [],
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"output": {},
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"params": {}
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},
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"upstream": [
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"ExeSQL:QuietRosesRun",
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"begin"
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]
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},
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"ExeSQL:QuietRosesRun": {
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"downstream": [
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"Answer:SocialAdsWonder"
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],
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"obj": {
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"component_name": "ExeSQL",
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"inputs": [],
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"output": {},
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"params": {
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"database": "",
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"db_type": "mysql",
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"frequencyPenaltyEnabled": true,
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"frequency_penalty": 0.7,
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"host": "",
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"llm_id": "deepseek-chat@DeepSeek",
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"loop": 3,
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"maxTokensEnabled": true,
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"max_tokens": 512,
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"password": "",
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"port": 6630,
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"query": [],
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"temperature": 0.1,
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"temperatureEnabled": true,
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"topPEnabled": true,
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"top_n": 30,
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"top_p": 0.3,
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"username": "root"
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}
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},
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"upstream": [
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"Generate:BlueShirtsLaugh"
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]
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},
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"Generate:BlueShirtsLaugh": {
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"downstream": [
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"ExeSQL:QuietRosesRun"
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],
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"obj": {
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"component_name": "Generate",
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"params": {
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"cite": false,
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"frequency_penalty": 0.7,
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"llm_id": "deepseek-chat@DeepSeek",
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"message_history_window_size": 1,
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"parameters": [],
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"presence_penalty": 0.4,
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"prompt": "\n##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:SillyPartsCheer}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:OddSingersRefuse}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:BrownStreetsRhyme}.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.",
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"temperature": 0.1,
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"top_p": 0.3
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}
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},
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"upstream": [
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"Retrieval:SillyPartsCheer",
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"Retrieval:BrownStreetsRhyme",
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"Retrieval:OddSingersRefuse"
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]
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},
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"Retrieval:BrownStreetsRhyme": {
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"downstream": [
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"Generate:BlueShirtsLaugh"
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],
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"obj": {
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"component_name": "Retrieval",
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"inputs": [],
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"output": {},
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"params": {
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"empty_response": "Nothing found in Q->SQL!",
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"kb_ids": [],
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"keywords_similarity_weight": 0.3,
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"query": [
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{
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"component_id": "Answer:SocialAdsWonder",
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"type": "reference"
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}
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],
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"similarity_threshold": 0.2,
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"top_n": 8
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}
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},
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"upstream": [
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"RewriteQuestion:WildIdeasTell"
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]
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},
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"Retrieval:OddSingersRefuse": {
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"downstream": [
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"Generate:BlueShirtsLaugh"
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],
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"obj": {
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"component_name": "Retrieval",
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"inputs": [],
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"output": {},
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"params": {
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"empty_response": "Nothing found in DB-Description!",
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"kb_ids": [],
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"keywords_similarity_weight": 0.3,
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"query": [
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{
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"component_id": "Answer:SocialAdsWonder",
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"type": "reference"
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}
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],
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"similarity_threshold": 0.2,
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"top_n": 8
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}
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},
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"upstream": [
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"RewriteQuestion:WildIdeasTell"
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]
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},
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"Retrieval:SillyPartsCheer": {
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"downstream": [
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"Generate:BlueShirtsLaugh"
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],
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"obj": {
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"component_name": "Retrieval",
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"inputs": [],
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"output": {},
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"params": {
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"empty_response": "Nothing found in DDL!",
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"kb_ids": [],
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"keywords_similarity_weight": 0.1,
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"query": [
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{
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"component_id": "Answer:SocialAdsWonder",
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"type": "reference"
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}
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],
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"similarity_threshold": 0.02,
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"top_n": 18
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}
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},
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"upstream": [
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"RewriteQuestion:WildIdeasTell"
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]
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},
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"RewriteQuestion:WildIdeasTell": {
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"downstream": [
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"Retrieval:OddSingersRefuse",
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"Retrieval:BrownStreetsRhyme",
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"Retrieval:SillyPartsCheer"
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],
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"obj": {
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"component_name": "RewriteQuestion",
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"params": {
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"frequencyPenaltyEnabled": true,
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"frequency_penalty": 0.7,
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"llm_id": "deepseek-chat@DeepSeek",
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"maxTokensEnabled": true,
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"max_tokens": 256,
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"message_history_window_size": 6,
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"parameter": "Precise",
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"temperature": 0.1,
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"temperatureEnabled": true,
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"topPEnabled": true,
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"top_p": 0.3
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}
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},
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"upstream": [
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"Answer:SocialAdsWonder"
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]
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},
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"begin": {
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"downstream": [
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"Answer:SocialAdsWonder"
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],
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"obj": {
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"component_name": "Begin",
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"inputs": [],
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"output": {
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"content": {
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"0": {
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"content": "Hi! I'm your smart assistant. What can I do for you?"
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}
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}
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},
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"params": {}
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},
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"upstream": []
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}
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},
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"embed_id": "BAAI/bge-large-zh-v1.5",
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"graph": {
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"edges": [
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{
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"id": "xy-edge__ExeSQL:QuietRosesRunc-Answer:SocialAdsWonderc",
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"markerEnd": "logo",
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"source": "ExeSQL:QuietRosesRun",
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"sourceHandle": "c",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Answer:SocialAdsWonder",
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"targetHandle": "c",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__begin-Answer:SocialAdsWonderc",
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"markerEnd": "logo",
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"source": "begin",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Answer:SocialAdsWonder",
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"targetHandle": "c",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__Answer:SocialAdsWonderb-RewriteQuestion:WildIdeasTellc",
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"markerEnd": "logo",
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"source": "Answer:SocialAdsWonder",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "RewriteQuestion:WildIdeasTell",
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"targetHandle": "c",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__RewriteQuestion:WildIdeasTellb-Retrieval:OddSingersRefusec",
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"markerEnd": "logo",
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"source": "RewriteQuestion:WildIdeasTell",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Retrieval:OddSingersRefuse",
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"targetHandle": "c",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__RewriteQuestion:WildIdeasTellb-Retrieval:BrownStreetsRhymec",
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"markerEnd": "logo",
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"source": "RewriteQuestion:WildIdeasTell",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Retrieval:BrownStreetsRhyme",
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"targetHandle": "c",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__RewriteQuestion:WildIdeasTellb-Retrieval:SillyPartsCheerc",
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"markerEnd": "logo",
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"source": "RewriteQuestion:WildIdeasTell",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Retrieval:SillyPartsCheer",
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"targetHandle": "c",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__Generate:BlueShirtsLaughc-ExeSQL:QuietRosesRunb",
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"markerEnd": "logo",
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"source": "Generate:BlueShirtsLaugh",
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"sourceHandle": "c",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "ExeSQL:QuietRosesRun",
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"targetHandle": "b",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__Retrieval:SillyPartsCheerb-Generate:BlueShirtsLaughb",
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"markerEnd": "logo",
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"source": "Retrieval:SillyPartsCheer",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Generate:BlueShirtsLaugh",
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"targetHandle": "b",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__Retrieval:BrownStreetsRhymeb-Generate:BlueShirtsLaughb",
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"markerEnd": "logo",
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"source": "Retrieval:BrownStreetsRhyme",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Generate:BlueShirtsLaugh",
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||
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"targetHandle": "b",
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"type": "buttonEdge",
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"zIndex": 1001
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},
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{
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"id": "xy-edge__Retrieval:OddSingersRefuseb-Generate:BlueShirtsLaughb",
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"markerEnd": "logo",
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"source": "Retrieval:OddSingersRefuse",
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"sourceHandle": "b",
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"style": {
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"stroke": "rgb(202 197 245)",
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"strokeWidth": 2
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},
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"target": "Generate:BlueShirtsLaugh",
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"targetHandle": "b",
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"type": "buttonEdge",
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"zIndex": 1001
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}
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||
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],
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"nodes": [
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{
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"data": {
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||
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"label": "Begin",
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||
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"name": "begin"
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||
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},
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||
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"dragging": false,
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||
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"height": 44,
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||
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"id": "begin",
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"measured": {
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||
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"height": 44,
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||
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"width": 200
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||
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},
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"position": {
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"x": -707.997699967585,
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"y": 271.71609546793474
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},
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"positionAbsolute": {
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||
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"x": -707.997699967585,
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"y": 271.71609546793474
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},
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"selected": false,
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||
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"sourcePosition": "left",
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"targetPosition": "right",
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"type": "beginNode",
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"width": 200
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},
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||
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{
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"data": {
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||
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"form": {},
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||
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"label": "Answer",
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||
|
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"name": "Interface"
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||
|
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},
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||
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"dragging": false,
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||
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"height": 44,
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"id": "Answer:SocialAdsWonder",
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||
|
|
"measured": {
|
||
|
|
"height": 44,
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": -265.59460323639587,
|
||
|
|
"y": 271.1879130306969
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": -58.36886074370702,
|
||
|
|
"y": 272.1213623212045
|
||
|
|
},
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "logicNode",
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"empty_response": "Nothing found in DDL!",
|
||
|
|
"kb_ids": [],
|
||
|
|
"keywords_similarity_weight": 0.1,
|
||
|
|
"query": [
|
||
|
|
{
|
||
|
|
"component_id": "Answer:SocialAdsWonder",
|
||
|
|
"type": "reference"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"similarity_threshold": 0.02,
|
||
|
|
"top_n": 18
|
||
|
|
},
|
||
|
|
"label": "Retrieval",
|
||
|
|
"name": "DDL"
|
||
|
|
},
|
||
|
|
"dragging": false,
|
||
|
|
"height": 106,
|
||
|
|
"id": "Retrieval:SillyPartsCheer",
|
||
|
|
"measured": {
|
||
|
|
"height": 106,
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 194.69889765569846,
|
||
|
|
"y": 61.49435233230193
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 198.3020069445181,
|
||
|
|
"y": -0.9595420072386389
|
||
|
|
},
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "retrievalNode",
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"empty_response": "Nothing found in Q->SQL!",
|
||
|
|
"kb_ids": [],
|
||
|
|
"keywords_similarity_weight": 0.3,
|
||
|
|
"query": [
|
||
|
|
{
|
||
|
|
"component_id": "Answer:SocialAdsWonder",
|
||
|
|
"type": "reference"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"similarity_threshold": 0.2,
|
||
|
|
"top_n": 8
|
||
|
|
},
|
||
|
|
"label": "Retrieval",
|
||
|
|
"name": "Q->SQL"
|
||
|
|
},
|
||
|
|
"dragging": false,
|
||
|
|
"height": 106,
|
||
|
|
"id": "Retrieval:BrownStreetsRhyme",
|
||
|
|
"measured": {
|
||
|
|
"height": 106,
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 240.78282320440022,
|
||
|
|
"y": 162.66081324653166
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 231.17453176754782,
|
||
|
|
"y": 123.02661106951555
|
||
|
|
},
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "retrievalNode",
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"empty_response": "Nothing found in DB-Description!",
|
||
|
|
"kb_ids": [],
|
||
|
|
"keywords_similarity_weight": 0.3,
|
||
|
|
"query": [
|
||
|
|
{
|
||
|
|
"component_id": "Answer:SocialAdsWonder",
|
||
|
|
"type": "reference"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"similarity_threshold": 0.2,
|
||
|
|
"top_n": 8
|
||
|
|
},
|
||
|
|
"label": "Retrieval",
|
||
|
|
"name": "DB Description"
|
||
|
|
},
|
||
|
|
"dragging": false,
|
||
|
|
"height": 106,
|
||
|
|
"id": "Retrieval:OddSingersRefuse",
|
||
|
|
"measured": {
|
||
|
|
"height": 106,
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 284.5720579655624,
|
||
|
|
"y": 246.75395940479467
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 267.7575479510707,
|
||
|
|
"y": 249.15603226400776
|
||
|
|
},
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "retrievalNode",
|
||
|
|
"width": 200
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "Based on the result of the SQL execution, returns the error message to the large model if any errors occur; otherwise, returns the result to the user."
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N: Analyze SQL"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 165,
|
||
|
|
"id": "Note:HeavyIconsFollow",
|
||
|
|
"measured": {
|
||
|
|
"height": 165,
|
||
|
|
"width": 347
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": -709.8631299685773,
|
||
|
|
"y": 96.50319908555313
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": -626.6563777191027,
|
||
|
|
"y": -48.82220889683933
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 176,
|
||
|
|
"width": 266
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 347
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "Receives the user's database-related questions and displays the large model's response."
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N: Interface"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 159,
|
||
|
|
"id": "Note:PinkTaxesClean",
|
||
|
|
"measured": {
|
||
|
|
"height": 159,
|
||
|
|
"width": 259
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": -253.39933811515345,
|
||
|
|
"y": 353.7538896054877
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": -52.004609812312424,
|
||
|
|
"y": 336.95180237635077
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 162,
|
||
|
|
"width": 210
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 259
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "Searches for description about meanings of tables and fields."
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N:DB Description"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 128,
|
||
|
|
"id": "Note:IcyTreesPeel",
|
||
|
|
"measured": {
|
||
|
|
"height": 128,
|
||
|
|
"width": 251
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 280.8431980571563,
|
||
|
|
"y": 394.1463067004627
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 280.8431980571563,
|
||
|
|
"y": 394.1463067004627
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 128,
|
||
|
|
"width": 251
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 251
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "Searches for samples about question to SQL.\nPlease check this dataset: https://huggingface.co/datasets/InfiniFlow/text2sql"
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N: Q->SQL"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 143,
|
||
|
|
"id": "Note:HugeGroupsScream",
|
||
|
|
"measured": {
|
||
|
|
"height": 143,
|
||
|
|
"width": 390
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 612.8793199038756,
|
||
|
|
"y": 169.1868576959871
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 606.1206536213404,
|
||
|
|
"y": 113.09441734894426
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 131,
|
||
|
|
"width": 387
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 390
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "DDL(Data Definition Language).\n\nSearches for relevant database creation statements.\n\nIt should bind with a KB to which DDL is dumped in.\nYou could use 'General' as parsing method and ';' as delimiter."
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N: DDL"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 208,
|
||
|
|
"id": "Note:GreenCrewsArrive",
|
||
|
|
"measured": {
|
||
|
|
"height": 208,
|
||
|
|
"width": 467
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 649.3481710005742,
|
||
|
|
"y": -87.70873445087781
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 545.3423934788841,
|
||
|
|
"y": -166.58872868890683
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 266,
|
||
|
|
"width": 266
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 467
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "The large model learns which tables may be available based on the responses from three knowledge bases and converts the user's input into SQL statements."
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N: Generate SQL"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 196,
|
||
|
|
"id": "Note:EightTurtlesLike",
|
||
|
|
"measured": {
|
||
|
|
"height": 196,
|
||
|
|
"width": 341
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": 134.0070839275931,
|
||
|
|
"y": -345.41228234051727
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": 222.2150747084395,
|
||
|
|
"y": -445.32694170868734
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 175,
|
||
|
|
"width": 265
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 341
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"text": "Executes the SQL statement in the database and returns the result.\n\nAfter configuring an accessible database, press 'Test' to ensure the accessibility.\n\nThe large model modifies the original SQL statement based on the error message and returns the modified SQL statement."
|
||
|
|
},
|
||
|
|
"label": "Note",
|
||
|
|
"name": "N: Execute SQL"
|
||
|
|
},
|
||
|
|
"dragHandle": ".note-drag-handle",
|
||
|
|
"dragging": false,
|
||
|
|
"height": 276,
|
||
|
|
"id": "Note:FreshKidsTalk",
|
||
|
|
"measured": {
|
||
|
|
"height": 276,
|
||
|
|
"width": 336
|
||
|
|
},
|
||
|
|
"position": {
|
||
|
|
"x": -304.3577648765364,
|
||
|
|
"y": -288.054469323955
|
||
|
|
},
|
||
|
|
"positionAbsolute": {
|
||
|
|
"x": -251.5866574377311,
|
||
|
|
"y": -372.2192837064241
|
||
|
|
},
|
||
|
|
"resizing": false,
|
||
|
|
"selected": false,
|
||
|
|
"sourcePosition": "right",
|
||
|
|
"style": {
|
||
|
|
"height": 178,
|
||
|
|
"width": 346
|
||
|
|
},
|
||
|
|
"targetPosition": "left",
|
||
|
|
"type": "noteNode",
|
||
|
|
"width": 336
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"form": {
|
||
|
|
"database": "",
|
||
|
|
"db_type": "mysql",
|
||
|
|
"frequencyPenaltyEnabled": true,
|
||
|
|
"frequency_penalty": 0.7,
|
||
|
|
"host": "",
|
||
|
|
"llm_id": "deepseek-chat@DeepSeek",
|
||
|
|
"loop": 3,
|
||
|
|
"maxTokensEnabled": true,
|
||
|
|
"max_tokens": 512,
|
||
|
|
"password": "",
|
||
|
|
"port": 6630,
|
||
|
|
"presencePenaltyEnabled": true,
|
||
|
|
"presence_penalty": 0.4,
|
||
|
|
"query": [],
|
||
|
|
"temperature": 0.1,
|
||
|
|
"temperatureEnabled": true,
|
||
|
|
"topPEnabled": true,
|
||
|
|
"top_n": 30,
|
||
|
|
"top_p": 0.3,
|
||
|
|
"username": "root"
|
||
|
|
},
|
||
|
|
"label": "ExeSQL",
|
||
|
|
"name": "ExeSQL"
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},
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"dragging": false,
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"id": "ExeSQL:QuietRosesRun",
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"measured": {
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"width": 200
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"selected": false,
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"type": "ragNode"
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{
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"data": {
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"form": {
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"frequencyPenaltyEnabled": true,
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"frequency_penalty": 0.7,
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"llm_id": "deepseek-chat@DeepSeek",
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"maxTokensEnabled": true,
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"max_tokens": 256,
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"message_history_window_size": 6,
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"parameter": "Precise",
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"temperature": 0.1,
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"temperatureEnabled": true,
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"topPEnabled": true,
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"top_p": 0.3
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},
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"label": "RewriteQuestion",
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"name": "RefineQuestion"
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},
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"dragging": false,
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"id": "RewriteQuestion:WildIdeasTell",
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"measured": {
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"height": 106,
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"width": 200
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"position": {
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"selected": false,
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{
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"data": {
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"form": {
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"cite": false,
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"frequencyPenaltyEnabled": true,
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"frequency_penalty": 0.7,
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"llm_id": "deepseek-chat@DeepSeek",
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"maxTokensEnabled": false,
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"max_tokens": 256,
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"message_history_window_size": 1,
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"parameter": "Precise",
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"parameters": [],
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"prompt": "\n##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:SillyPartsCheer}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:OddSingersRefuse}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:BrownStreetsRhyme}.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.",
|
||
|
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"temperature": 0.1,
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"temperatureEnabled": true,
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"topPEnabled": true,
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"top_p": 0.3
|
||
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},
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"label": "Generate",
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||
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"name": "Generate SQL Statement LLM"
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||
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},
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"dragging": false,
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||
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"id": "Generate:BlueShirtsLaugh",
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||
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"measured": {
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"height": 106,
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"width": 200
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},
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"position": {
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"x": 147.62383788095065,
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||
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"y": -116.47462293167156
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},
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"selected": false,
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"sourcePosition": "right",
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"targetPosition": "left",
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"type": "generateNode"
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}
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]
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},
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"history": [],
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"messages": [],
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"path": [],
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"reference": []
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},
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}
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