f36e2104d8
tests / ragflow_tests_infinity (push) Has been cancelled
tests / ragflow_tests_elasticsearch (push) Has been cancelled
sep-tests / ragflow_preflight (push) Has been cancelled
sep-tests / ragflow_tests_infinity (push) Has been cancelled
sep-tests / ragflow_tests_elasticsearch (push) Has been cancelled
tests / ragflow_preflight (push) Has been cancelled
228 lines
6.7 KiB
JSON
228 lines
6.7 KiB
JSON
{
|
||
"components": {
|
||
"Agent:TenderSpidersStick": {
|
||
"downstream": [
|
||
"Message:MajorNumbersPlay"
|
||
],
|
||
"obj": {
|
||
"component_name": "Agent",
|
||
"params": {
|
||
"cite": true,
|
||
"delay_after_error": 1,
|
||
"description": "",
|
||
"exception_default_value": "",
|
||
"exception_goto": [],
|
||
"exception_method": "",
|
||
"frequencyPenaltyEnabled": true,
|
||
"frequency_penalty": 0.7,
|
||
"llm_id": "glm-4.7-flashx@zz@ZHIPU-AI",
|
||
"maxTokensEnabled": false,
|
||
"max_retries": 3,
|
||
"max_rounds": 1,
|
||
"max_tokens": 256,
|
||
"mcp": [],
|
||
"message_history_window_size": 12,
|
||
"outputs": {
|
||
"content": {
|
||
"type": "string",
|
||
"value": ""
|
||
}
|
||
},
|
||
"presencePenaltyEnabled": true,
|
||
"presence_penalty": 0.4,
|
||
"prompts": [
|
||
{
|
||
"content": "{sys.query}",
|
||
"role": "user"
|
||
}
|
||
],
|
||
"showStructuredOutput": false,
|
||
"sys_prompt": "\n <role>\n You are a helpful assistant, an AI assistant specialized in problem-solving for the user.\n If a specific domain is provided, adapt your expertise to that domain; otherwise, operate as a generalist.\n </role>\n <instructions>\n 1. Understand the user’s request.\n 2. Decompose it into logical subtasks.\n 3. Execute each subtask step by step, reasoning transparently.\n 4. Validate accuracy and consistency.\n 5. Summarize the final result clearly.\n </instructions>",
|
||
"temperature": 0.1,
|
||
"temperatureEnabled": true,
|
||
"tools": [],
|
||
"topPEnabled": true,
|
||
"top_p": 0.3,
|
||
"user_prompt": "",
|
||
"visual_files_var": ""
|
||
}
|
||
},
|
||
"upstream": [
|
||
"begin"
|
||
]
|
||
},
|
||
"Message:MajorNumbersPlay": {
|
||
"downstream": [],
|
||
"obj": {
|
||
"component_name": "Message",
|
||
"params": {
|
||
"content": [
|
||
"{Agent:TenderSpidersStick@content}"
|
||
]
|
||
}
|
||
},
|
||
"upstream": [
|
||
"Agent:TenderSpidersStick"
|
||
]
|
||
},
|
||
"begin": {
|
||
"downstream": [
|
||
"Agent:TenderSpidersStick"
|
||
],
|
||
"obj": {
|
||
"component_name": "Begin",
|
||
"params": {
|
||
"mode": "conversational",
|
||
"prologue": "Hi! I'm your assistant. What can I do for you?"
|
||
}
|
||
},
|
||
"upstream": []
|
||
}
|
||
},
|
||
"globals": {
|
||
"sys.conversation_turns": 0,
|
||
"sys.date": "",
|
||
"sys.files": [],
|
||
"sys.history": [],
|
||
"sys.query": "",
|
||
"sys.user_id": ""
|
||
},
|
||
"graph": {
|
||
"edges": [
|
||
{
|
||
"id": "xy-edge__beginstart-Agent:TenderSpidersStickend",
|
||
"source": "begin",
|
||
"sourceHandle": "start",
|
||
"target": "Agent:TenderSpidersStick",
|
||
"targetHandle": "end"
|
||
},
|
||
{
|
||
"data": {
|
||
"isHovered": false
|
||
},
|
||
"id": "xy-edge__Agent:TenderSpidersStickstart-Message:MajorNumbersPlayend",
|
||
"source": "Agent:TenderSpidersStick",
|
||
"sourceHandle": "start",
|
||
"target": "Message:MajorNumbersPlay",
|
||
"targetHandle": "end"
|
||
}
|
||
],
|
||
"nodes": [
|
||
{
|
||
"data": {
|
||
"form": {
|
||
"mode": "conversational",
|
||
"prologue": "Hi! I'm your assistant. What can I do for you?"
|
||
},
|
||
"label": "Begin",
|
||
"name": "begin"
|
||
},
|
||
"dragging": false,
|
||
"id": "begin",
|
||
"measured": {
|
||
"height": 81,
|
||
"width": 200
|
||
},
|
||
"position": {
|
||
"x": -173.77599999999995,
|
||
"y": -145.59999999999994
|
||
},
|
||
"selected": false,
|
||
"sourcePosition": "left",
|
||
"targetPosition": "right",
|
||
"type": "beginNode"
|
||
},
|
||
{
|
||
"data": {
|
||
"form": {
|
||
"cite": true,
|
||
"delay_after_error": 1,
|
||
"description": "",
|
||
"exception_default_value": "",
|
||
"exception_goto": [],
|
||
"exception_method": "",
|
||
"frequencyPenaltyEnabled": true,
|
||
"frequency_penalty": 0.7,
|
||
"llm_id": "glm-4.7-flashx@zz@ZHIPU-AI",
|
||
"maxTokensEnabled": false,
|
||
"max_retries": 3,
|
||
"max_rounds": 1,
|
||
"max_tokens": 256,
|
||
"mcp": [],
|
||
"message_history_window_size": 12,
|
||
"outputs": {
|
||
"content": {
|
||
"type": "string",
|
||
"value": ""
|
||
}
|
||
},
|
||
"presencePenaltyEnabled": true,
|
||
"presence_penalty": 0.4,
|
||
"prompts": [
|
||
{
|
||
"content": "{sys.query}",
|
||
"role": "user"
|
||
}
|
||
],
|
||
"showStructuredOutput": false,
|
||
"sys_prompt": "\n <role>\n You are a helpful assistant, an AI assistant specialized in problem-solving for the user.\n If a specific domain is provided, adapt your expertise to that domain; otherwise, operate as a generalist.\n </role>\n <instructions>\n 1. Understand the user’s request.\n 2. Decompose it into logical subtasks.\n 3. Execute each subtask step by step, reasoning transparently.\n 4. Validate accuracy and consistency.\n 5. Summarize the final result clearly.\n </instructions>",
|
||
"temperature": 0.1,
|
||
"temperatureEnabled": true,
|
||
"tools": [],
|
||
"topPEnabled": true,
|
||
"top_p": 0.3,
|
||
"user_prompt": "",
|
||
"visual_files_var": ""
|
||
},
|
||
"label": "Agent",
|
||
"name": "Agent_0"
|
||
},
|
||
"dragging": false,
|
||
"id": "Agent:TenderSpidersStick",
|
||
"measured": {
|
||
"height": 79,
|
||
"width": 200
|
||
},
|
||
"position": {
|
||
"x": 92.03339543909598,
|
||
"y": -132.31937403691842
|
||
},
|
||
"selected": true,
|
||
"sourcePosition": "right",
|
||
"targetPosition": "left",
|
||
"type": "agentNode"
|
||
},
|
||
{
|
||
"data": {
|
||
"form": {
|
||
"content": [
|
||
"{Agent:TenderSpidersStick@content}"
|
||
]
|
||
},
|
||
"label": "Message",
|
||
"name": "Message_0"
|
||
},
|
||
"dragging": false,
|
||
"id": "Message:MajorNumbersPlay",
|
||
"measured": {
|
||
"height": 85,
|
||
"width": 200
|
||
},
|
||
"position": {
|
||
"x": 336.5453954390959,
|
||
"y": -120.22337403691841
|
||
},
|
||
"selected": false,
|
||
"sourcePosition": "right",
|
||
"targetPosition": "left",
|
||
"type": "messageNode"
|
||
}
|
||
]
|
||
},
|
||
"history": [],
|
||
"memory": [],
|
||
"messages": [],
|
||
"path": [],
|
||
"retrieval": [],
|
||
"variables": []
|
||
} |