mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 13:01:14 +03:00
Chore/update deprecating nodes (#2540)
* update deprecating nodes * add filters use cases to marketplace * update log level
This commit is contained in:
@@ -1,7 +1,7 @@
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{
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"description": "A conversational agent for a chat model which utilize chat specific prompts",
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"categories": "Calculator Tool,Buffer Memory,SerpAPI,ChatOpenAI,Conversational Agent,Langchain",
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"framework": "Langchain",
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"description": "A conversational agent designed to use tools and chat model to provide responses",
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"usecases": ["Agent"],
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"framework": ["Langchain"],
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"nodes": [
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{
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"width": 300,
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@@ -44,7 +44,7 @@
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},
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{
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"width": 300,
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"height": 376,
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"height": 253,
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"id": "bufferMemory_1",
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"position": {
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"x": 607.6260576768354,
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@@ -105,7 +105,7 @@
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},
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{
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"width": 300,
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"height": 277,
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"height": 276,
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"id": "serpAPI_0",
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"position": {
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"x": 451.83740798447855,
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@@ -152,7 +152,7 @@
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},
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{
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"width": 300,
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"height": 574,
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"height": 670,
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"id": "chatOpenAI_0",
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"position": {
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"x": 97.01321406237057,
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@@ -162,7 +162,7 @@
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"data": {
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 6.0,
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"version": 6,
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"name": "chatOpenAI",
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
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@@ -324,7 +324,7 @@
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},
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{
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"width": 300,
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"height": 383,
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"height": 435,
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"id": "conversationalAgent_0",
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"position": {
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"x": 1191.1524476753796,
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@@ -414,6 +414,59 @@
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"y": 324.2479396683294
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},
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"dragging": false
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},
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{
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"id": "stickyNote_0",
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"position": {
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"x": 1190.081066428271,
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"y": 21.014152635796393
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},
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"type": "stickyNote",
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"data": {
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"id": "stickyNote_0",
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"label": "Sticky Note",
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"version": 2,
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"name": "stickyNote",
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"type": "StickyNote",
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"baseClasses": ["StickyNote"],
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"tags": ["Utilities"],
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"category": "Utilities",
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"description": "Add a sticky note",
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"inputParams": [
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{
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"label": "",
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"name": "note",
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"type": "string",
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"rows": 1,
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"placeholder": "Type something here",
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"optional": true,
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"id": "stickyNote_0-input-note-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"note": "This agent works very similar to Tool Agent with slightly higher error rate.\n\nDifference being this agent uses prompt to instruct LLM using tools, as opposed to using LLM's function calling capability.\n\nFor LLMs that support function calling, it is recommended to use Tool Agent.\n\nExample question:\n1. What is the net worth of Elon Musk?\n2. Multiply the net worth by 2"
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},
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"outputAnchors": [
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{
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"id": "stickyNote_0-output-stickyNote-StickyNote",
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"name": "stickyNote",
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"label": "StickyNote",
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"description": "Add a sticky note",
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"type": "StickyNote"
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}
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],
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"outputs": {},
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"selected": false
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},
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"width": 300,
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"height": 284,
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"selected": false,
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"positionAbsolute": {
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"x": 1190.081066428271,
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"y": 21.014152635796393
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},
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"dragging": false
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}
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],
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"edges": [
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