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https://github.com/farcasclaudiu/Flowise.git
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Chore/update deprecating nodes (#2540)
* update deprecating nodes * add filters use cases to marketplace * update log level
This commit is contained in:
Henry Heng
@@ -1,87 +1,11 @@
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{
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"description": "Analyse and summarize CSV data",
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"categories": "CSV Agent,ChatOpenAI,Langchain",
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"framework": "Langchain",
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"usecases": ["Working with tables"],
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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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"height": 377,
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"id": "csvAgent_0",
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"position": {
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"x": 1064.0780498701288,
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"y": 284.44352695304724
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},
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"type": "customNode",
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"data": {
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"id": "csvAgent_0",
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"label": "CSV Agent",
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"name": "csvAgent",
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"version": 3,
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"type": "AgentExecutor",
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"baseClasses": ["AgentExecutor", "BaseChain"],
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"category": "Agents",
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"description": "Agent used to to answer queries on CSV data",
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"inputParams": [
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{
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"label": "Csv File",
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"name": "csvFile",
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"type": "file",
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"fileType": ".csv",
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"id": "csvAgent_0-input-csvFile-file"
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}
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],
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"inputAnchors": [
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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"id": "csvAgent_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Input Moderation",
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"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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"name": "inputModeration",
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"type": "Moderation",
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"optional": true,
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"list": true,
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"id": "csvAgent_0-input-inputModeration-Moderation"
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},
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{
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"label": "Custom Pandas Read_CSV Code",
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"description": "Custom Pandas <a target=\"_blank\" href=\"https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html\">read_csv</a> function. Takes in an input: \"csv_data\"",
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"name": "customReadCSV",
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"default": "read_csv(csv_data)",
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"type": "code",
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"optional": true,
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"additionalParams": true,
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"id": "csvAgent_0-input-customReadCSV-code"
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}
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],
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"inputs": {
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"inputModeration": "",
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"model": "{{chatOpenAI_0.data.instance}}"
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},
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"outputAnchors": [
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{
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"id": "csvAgent_0-output-csvAgent-AgentExecutor|BaseChain",
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"name": "csvAgent",
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"label": "AgentExecutor",
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"type": "AgentExecutor | BaseChain"
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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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"selected": false,
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"positionAbsolute": {
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"x": 1064.0780498701288,
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"y": 284.44352695304724
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},
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"dragging": false
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},
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{
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"width": 300,
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"height": 522,
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"height": 670,
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"id": "chatOpenAI_0",
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"position": {
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"x": 657.3762197414501,
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@@ -91,8 +15,8 @@
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"data": {
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 6,
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"name": "chatOpenAI",
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"version": 6.0,
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
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"category": "Chat Models",
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@@ -250,6 +174,148 @@
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"y": 220.2950766042332
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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": 1382.0413608492051,
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"y": 331.1861177099975
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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 uses the following steps:\n\n1. Convert CSV file to Dataframe object\n\n2. Instruct LLM to generate Python code to answer user question using the dataframe provided\n\n3. Return the result in a natural language response\n\nYou can also specify the system message and custom \"read_csv file\" function. This allows more flexibility of reading CSV file with different delimiter, separator etc."
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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": 324,
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"selected": false,
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"positionAbsolute": {
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"x": 1382.0413608492051,
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"y": 331.1861177099975
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},
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"dragging": false
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},
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{
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"id": "csvAgent_0",
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"position": {
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"x": 1040.029472715762,
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"y": 293.0369370063613
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},
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"type": "customNode",
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"data": {
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"id": "csvAgent_0",
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"label": "CSV Agent",
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"version": 3,
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"name": "csvAgent",
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"type": "AgentExecutor",
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"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
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"category": "Agents",
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"description": "Agent used to to answer queries on CSV data",
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"inputParams": [
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{
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"label": "Csv File",
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"name": "csvFile",
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"type": "file",
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"fileType": ".csv",
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"id": "csvAgent_0-input-csvFile-file"
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},
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{
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"label": "System Message",
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"name": "systemMessagePrompt",
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"type": "string",
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"rows": 4,
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"additionalParams": true,
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"optional": true,
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"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
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"id": "csvAgent_0-input-systemMessagePrompt-string"
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},
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{
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"label": "Custom Pandas Read_CSV Code",
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"description": "Custom Pandas <a target=\"_blank\" href=\"https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html\">read_csv</a> function. Takes in an input: \"csv_data\"",
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"name": "customReadCSV",
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"default": "read_csv(csv_data)",
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"type": "code",
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"optional": true,
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"additionalParams": true,
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"id": "csvAgent_0-input-customReadCSV-code"
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}
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],
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"inputAnchors": [
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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"id": "csvAgent_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Input Moderation",
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"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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"name": "inputModeration",
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"type": "Moderation",
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"optional": true,
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"list": true,
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"id": "csvAgent_0-input-inputModeration-Moderation"
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}
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],
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"inputs": {
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"model": "{{chatOpenAI_0.data.instance}}",
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"systemMessagePrompt": "",
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"inputModeration": "",
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"customReadCSV": "read_csv(csv_data)"
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},
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"outputAnchors": [
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{
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"id": "csvAgent_0-output-csvAgent-AgentExecutor|BaseChain|Runnable",
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"name": "csvAgent",
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"label": "AgentExecutor",
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"description": "Agent used to to answer queries on CSV data",
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"type": "AgentExecutor | BaseChain | Runnable"
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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": 464,
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"selected": false,
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"positionAbsolute": {
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"x": 1040.029472715762,
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"y": 293.0369370063613
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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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@@ -259,10 +325,7 @@
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"target": "csvAgent_0",
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"targetHandle": "csvAgent_0-input-model-BaseLanguageModel",
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"type": "buttonedge",
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"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-csvAgent_0-csvAgent_0-input-model-BaseLanguageModel",
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"data": {
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"label": ""
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}
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"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-csvAgent_0-csvAgent_0-input-model-BaseLanguageModel"
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}
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]
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}
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