Files
Flowise/packages/server/marketplaces/agentflowsv2/Interacting With API.json
T
Henry Heng aea2b184da Chore/Patch OpenAI Nodes (#4958)
- update lc community and openai version
- fix chatfireworks
- update reasonings for openai models
- update openai apikey param
2025-07-28 01:17:47 +01:00

1295 lines
58 KiB
JSON

{
"description": "Different ways of agents that can interact with APIs",
"usecases": ["Interacting with API"],
"nodes": [
{
"id": "startAgentflow_0",
"type": "agentFlow",
"position": {
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"y": 46.5
},
"data": {
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"label": "Start",
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"name": "startAgentflow",
"type": "Start",
"color": "#7EE787",
"hideInput": true,
"baseClasses": ["Start"],
"category": "Agent Flows",
"description": "Starting point of the agentflow",
"inputParams": [
{
"label": "Input Type",
"name": "startInputType",
"type": "options",
"options": [
{
"label": "Chat Input",
"name": "chatInput",
"description": "Start the conversation with chat input"
},
{
"label": "Form Input",
"name": "formInput",
"description": "Start the workflow with form inputs"
}
],
"default": "chatInput",
"id": "startAgentflow_0-input-startInputType-options",
"display": true
},
{
"label": "Form Title",
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"type": "string",
"placeholder": "Please Fill Out The Form",
"show": {
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},
"id": "startAgentflow_0-input-formTitle-string",
"display": false
},
{
"label": "Form Description",
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"placeholder": "Complete all fields below to continue",
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},
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"display": false
},
{
"label": "Form Input Types",
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},
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{
"label": "Type",
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{
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{
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{
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},
{
"label": "Add Options",
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}
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{
"label": "Ephemeral Memory",
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},
{
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}
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},
{
"label": "Persist State",
"name": "startPersistState",
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"description": "Persist the state in the same session",
"optional": true,
"id": "startAgentflow_0-input-startPersistState-boolean",
"display": true
}
],
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"formDescription": "",
"formInputTypes": "",
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"startState": "",
"startPersistState": ""
},
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{
"id": "startAgentflow_0-output-startAgentflow",
"label": "Start",
"name": "startAgentflow"
}
],
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"height": 66,
"positionAbsolute": {
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"y": 46.5
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},
{
"id": "agentAgentflow_0",
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"y": 30
},
"data": {
"id": "agentAgentflow_0",
"label": "Requests Agent",
"version": 1,
"name": "agentAgentflow",
"type": "Agent",
"color": "#4DD0E1",
"baseClasses": ["Agent"],
"category": "Agent Flows",
"description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
"inputParams": [
{
"label": "Model",
"name": "agentModel",
"type": "asyncOptions",
"loadMethod": "listModels",
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"id": "agentAgentflow_0-input-agentModel-asyncOptions",
"display": true
},
{
"label": "Messages",
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{
"label": "Role",
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{
"label": "System",
"name": "system"
},
{
"label": "Assistant",
"name": "assistant"
},
{
"label": "Developer",
"name": "developer"
},
{
"label": "User",
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}
]
},
{
"label": "Content",
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}
],
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},
{
"label": "Tools",
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{
"label": "Tool",
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{
"label": "Require Human Input",
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"type": "boolean",
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}
],
"id": "agentAgentflow_0-input-agentTools-array",
"display": true
},
{
"label": "Knowledge (Document Stores)",
"name": "agentKnowledgeDocumentStores",
"type": "array",
"description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
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{
"label": "Document Store",
"name": "documentStore",
"type": "asyncOptions",
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},
{
"label": "Describe Knowledge",
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"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
"rows": 4
},
{
"label": "Return Source Documents",
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}
],
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"display": true
},
{
"label": "Knowledge (Vector Embeddings)",
"name": "agentKnowledgeVSEmbeddings",
"type": "array",
"description": "Give your agent context about different document sources from existing vector stores and embeddings",
"array": [
{
"label": "Vector Store",
"name": "vectorStore",
"type": "asyncOptions",
"loadMethod": "listVectorStores",
"loadConfig": true
},
{
"label": "Embedding Model",
"name": "embeddingModel",
"type": "asyncOptions",
"loadMethod": "listEmbeddings",
"loadConfig": true
},
{
"label": "Knowledge Name",
"name": "knowledgeName",
"type": "string",
"placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
},
{
"label": "Describe Knowledge",
"name": "knowledgeDescription",
"type": "string",
"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
"rows": 4
},
{
"label": "Return Source Documents",
"name": "returnSourceDocuments",
"type": "boolean",
"optional": true
}
],
"optional": true,
"id": "agentAgentflow_0-input-agentKnowledgeVSEmbeddings-array",
"display": true
},
{
"label": "Enable Memory",
"name": "agentEnableMemory",
"type": "boolean",
"description": "Enable memory for the conversation thread",
"default": true,
"optional": true,
"id": "agentAgentflow_0-input-agentEnableMemory-boolean",
"display": true
},
{
"label": "Memory Type",
"name": "agentMemoryType",
"type": "options",
"options": [
{
"label": "All Messages",
"name": "allMessages",
"description": "Retrieve all messages from the conversation"
},
{
"label": "Window Size",
"name": "windowSize",
"description": "Uses a fixed window size to surface the last N messages"
},
{
"label": "Conversation Summary",
"name": "conversationSummary",
"description": "Summarizes the whole conversation"
},
{
"label": "Conversation Summary Buffer",
"name": "conversationSummaryBuffer",
"description": "Summarize conversations once token limit is reached. Default to 2000"
}
],
"optional": true,
"default": "allMessages",
"show": {
"agentEnableMemory": true
},
"id": "agentAgentflow_0-input-agentMemoryType-options",
"display": true
},
{
"label": "Window Size",
"name": "agentMemoryWindowSize",
"type": "number",
"default": "20",
"description": "Uses a fixed window size to surface the last N messages",
"show": {
"agentMemoryType": "windowSize"
},
"id": "agentAgentflow_0-input-agentMemoryWindowSize-number",
"display": false
},
{
"label": "Max Token Limit",
"name": "agentMemoryMaxTokenLimit",
"type": "number",
"default": "2000",
"description": "Summarize conversations once token limit is reached. Default to 2000",
"show": {
"agentMemoryType": "conversationSummaryBuffer"
},
"id": "agentAgentflow_0-input-agentMemoryMaxTokenLimit-number",
"display": false
},
{
"label": "Input Message",
"name": "agentUserMessage",
"type": "string",
"description": "Add an input message as user message at the end of the conversation",
"rows": 4,
"optional": true,
"acceptVariable": true,
"show": {
"agentEnableMemory": true
},
"id": "agentAgentflow_0-input-agentUserMessage-string",
"display": true
},
{
"label": "Return Response As",
"name": "agentReturnResponseAs",
"type": "options",
"options": [
{
"label": "User Message",
"name": "userMessage"
},
{
"label": "Assistant Message",
"name": "assistantMessage"
}
],
"default": "userMessage",
"id": "agentAgentflow_0-input-agentReturnResponseAs-options",
"display": true
},
{
"label": "Update Flow State",
"name": "agentUpdateState",
"description": "Update runtime state during the execution of the workflow",
"type": "array",
"optional": true,
"acceptVariable": true,
"array": [
{
"label": "Key",
"name": "key",
"type": "asyncOptions",
"loadMethod": "listRuntimeStateKeys",
"freeSolo": true
},
{
"label": "Value",
"name": "value",
"type": "string",
"acceptVariable": true,
"acceptNodeOutputAsVariable": true
}
],
"id": "agentAgentflow_0-input-agentUpdateState-array",
"display": true
}
],
"inputAnchors": [],
"inputs": {
"agentModel": "chatOpenAI",
"agentMessages": [
{
"role": "system",
"content": "<p>You are helpful assistant.</p><p>Todays date time is <span class=\"variable\" data-type=\"mention\" data-id=\"current_date_time\" data-label=\"current_date_time\">{{ current_date_time }}</span></p>"
}
],
"agentTools": [
{
"agentSelectedTool": "requestsGet",
"agentSelectedToolRequiresHumanInput": "",
"agentSelectedToolConfig": {
"requestsGetUrl": "<p>http://localhost:5566/events</p>",
"requestsGetName": "get_events",
"requestsGetDescription": "Use this when you need to get events",
"requestsGetHeaders": "",
"requestsGetQueryParamsSchema": "{\n \"id\": {\n \"type\": \"string\",\n \"in\": \"path\",\n \"description\": \"ID of the item to get. /:id\"\n },\n \"limit\": {\n \"type\": \"string\",\n \"in\": \"query\",\n \"description\": \"Limit the number of items to get. ?limit=10\"\n }\n}",
"requestsGetMaxOutputLength": "2000",
"agentSelectedTool": "requestsGet"
}
},
{
"agentSelectedTool": "requestsPost",
"agentSelectedToolRequiresHumanInput": "",
"agentSelectedToolConfig": {
"requestsPostUrl": "<p>http://localhost:5566/events</p>",
"requestsPostName": "create_event",
"requestsPostDescription": "Use this when you want to create a new event",
"requestsPostHeaders": "",
"requestPostBody": "",
"requestsPostBodySchema": "{\n \"name\": {\n \"type\": \"string\",\n \"required\": true,\n \"description\": \"Name of the event\"\n },\n \"date\": {\n \"type\": \"string\",\n \"required\": true,\n \"description\": \"Date of the event\"\n },\n \"location\": {\n \"type\": \"string\",\n \"required\": true,\n \"description\": \"Location of the event\"\n }\n}",
"requestsPostMaxOutputLength": "2000",
"agentSelectedTool": "requestsPost"
}
},
{
"agentSelectedTool": "requestsPut",
"agentSelectedToolRequiresHumanInput": "",
"agentSelectedToolConfig": {
"requestsPutUrl": "<p>http://localhost:5566/events</p>",
"requestsPutName": "update_event",
"requestsPutDescription": "Use this when you want to update an event",
"requestsPutHeaders": "",
"requestPutBody": "",
"requestsPutBodySchema": "{\n \"name\": {\n \"type\": \"string\",\n \"required\": true,\n \"description\": \"Name of the event\"\n },\n \"date\": {\n \"type\": \"string\",\n \"required\": true,\n \"description\": \"Date of the event\"\n },\n \"location\": {\n \"type\": \"string\",\n \"required\": true,\n \"description\": \"Location of the event\"\n }\n}",
"requestsPutMaxOutputLength": "2000",
"agentSelectedTool": "requestsPut"
}
},
{
"agentSelectedTool": "requestsDelete",
"agentSelectedToolRequiresHumanInput": "",
"agentSelectedToolConfig": {
"requestsDeleteUrl": "<p>http://localhost:5566/events</p>",
"requestsDeleteName": "delete_event",
"requestsDeleteDescription": "Use this when you need to delete event",
"requestsDeleteHeaders": "",
"requestsDeleteQueryParamsSchema": "{\n \"id\": {\n \"type\": \"string\",\n \"required\": true,\n \"in\": \"path\",\n \"description\": \"ID of the item to delete. /:id\"\n }\n}",
"requestsDeleteMaxOutputLength": "2000",
"agentSelectedTool": "requestsDelete"
}
}
],
"agentKnowledgeDocumentStores": [],
"agentKnowledgeVSEmbeddings": "",
"agentEnableMemory": true,
"agentMemoryType": "allMessages",
"agentUserMessage": "",
"agentReturnResponseAs": "userMessage",
"agentUpdateState": "",
"agentModelConfig": {
"credential": "",
"modelName": "gpt-4o-mini",
"temperature": 0.9,
"streaming": true,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"strictToolCalling": "",
"stopSequence": "",
"basepath": "",
"proxyUrl": "",
"baseOptions": "",
"allowImageUploads": "",
"imageResolution": "low",
"reasoningEffort": "",
"agentModel": "chatOpenAI"
}
},
"outputAnchors": [
{
"id": "agentAgentflow_0-output-agentAgentflow",
"label": "Agent",
"name": "agentAgentflow"
}
],
"outputs": {},
"selected": false
},
"type": "agentFlow",
"width": 176,
"height": 100,
"selected": false,
"positionAbsolute": {
"x": 276.5,
"y": 30
},
"dragging": false
},
{
"id": "agentAgentflow_1",
"position": {
"x": 486.5,
"y": 30.25
},
"data": {
"id": "agentAgentflow_1",
"label": "OpenAPI Agent",
"version": 1,
"name": "agentAgentflow",
"type": "Agent",
"color": "#4DD0E1",
"baseClasses": ["Agent"],
"category": "Agent Flows",
"description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
"inputParams": [
{
"label": "Model",
"name": "agentModel",
"type": "asyncOptions",
"loadMethod": "listModels",
"loadConfig": true,
"id": "agentAgentflow_1-input-agentModel-asyncOptions",
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},
{
"label": "Messages",
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{
"label": "Role",
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{
"label": "System",
"name": "system"
},
{
"label": "Assistant",
"name": "assistant"
},
{
"label": "Developer",
"name": "developer"
},
{
"label": "User",
"name": "user"
}
]
},
{
"label": "Content",
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"generateInstruction": true,
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}
],
"id": "agentAgentflow_1-input-agentMessages-array",
"display": true
},
{
"label": "Tools",
"name": "agentTools",
"type": "array",
"optional": true,
"array": [
{
"label": "Tool",
"name": "agentSelectedTool",
"type": "asyncOptions",
"loadMethod": "listTools",
"loadConfig": true
},
{
"label": "Require Human Input",
"name": "agentSelectedToolRequiresHumanInput",
"type": "boolean",
"optional": true
}
],
"id": "agentAgentflow_1-input-agentTools-array",
"display": true
},
{
"label": "Knowledge (Document Stores)",
"name": "agentKnowledgeDocumentStores",
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"description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
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{
"label": "Document Store",
"name": "documentStore",
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},
{
"label": "Describe Knowledge",
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"type": "string",
"generateDocStoreDescription": true,
"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
"rows": 4
},
{
"label": "Return Source Documents",
"name": "returnSourceDocuments",
"type": "boolean",
"optional": true
}
],
"optional": true,
"id": "agentAgentflow_1-input-agentKnowledgeDocumentStores-array",
"display": true
},
{
"label": "Knowledge (Vector Embeddings)",
"name": "agentKnowledgeVSEmbeddings",
"type": "array",
"description": "Give your agent context about different document sources from existing vector stores and embeddings",
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{
"label": "Vector Store",
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"loadConfig": true
},
{
"label": "Embedding Model",
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"loadMethod": "listEmbeddings",
"loadConfig": true
},
{
"label": "Knowledge Name",
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"type": "string",
"placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
},
{
"label": "Describe Knowledge",
"name": "knowledgeDescription",
"type": "string",
"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
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},
{
"label": "Return Source Documents",
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"optional": true
}
],
"optional": true,
"id": "agentAgentflow_1-input-agentKnowledgeVSEmbeddings-array",
"display": true
},
{
"label": "Enable Memory",
"name": "agentEnableMemory",
"type": "boolean",
"description": "Enable memory for the conversation thread",
"default": true,
"optional": true,
"id": "agentAgentflow_1-input-agentEnableMemory-boolean",
"display": true
},
{
"label": "Memory Type",
"name": "agentMemoryType",
"type": "options",
"options": [
{
"label": "All Messages",
"name": "allMessages",
"description": "Retrieve all messages from the conversation"
},
{
"label": "Window Size",
"name": "windowSize",
"description": "Uses a fixed window size to surface the last N messages"
},
{
"label": "Conversation Summary",
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"description": "Summarizes the whole conversation"
},
{
"label": "Conversation Summary Buffer",
"name": "conversationSummaryBuffer",
"description": "Summarize conversations once token limit is reached. Default to 2000"
}
],
"optional": true,
"default": "allMessages",
"show": {
"agentEnableMemory": true
},
"id": "agentAgentflow_1-input-agentMemoryType-options",
"display": true
},
{
"label": "Window Size",
"name": "agentMemoryWindowSize",
"type": "number",
"default": "20",
"description": "Uses a fixed window size to surface the last N messages",
"show": {
"agentMemoryType": "windowSize"
},
"id": "agentAgentflow_1-input-agentMemoryWindowSize-number",
"display": false
},
{
"label": "Max Token Limit",
"name": "agentMemoryMaxTokenLimit",
"type": "number",
"default": "2000",
"description": "Summarize conversations once token limit is reached. Default to 2000",
"show": {
"agentMemoryType": "conversationSummaryBuffer"
},
"id": "agentAgentflow_1-input-agentMemoryMaxTokenLimit-number",
"display": false
},
{
"label": "Input Message",
"name": "agentUserMessage",
"type": "string",
"description": "Add an input message as user message at the end of the conversation",
"rows": 4,
"optional": true,
"acceptVariable": true,
"show": {
"agentEnableMemory": true
},
"id": "agentAgentflow_1-input-agentUserMessage-string",
"display": true
},
{
"label": "Return Response As",
"name": "agentReturnResponseAs",
"type": "options",
"options": [
{
"label": "User Message",
"name": "userMessage"
},
{
"label": "Assistant Message",
"name": "assistantMessage"
}
],
"default": "userMessage",
"id": "agentAgentflow_1-input-agentReturnResponseAs-options",
"display": true
},
{
"label": "Update Flow State",
"name": "agentUpdateState",
"description": "Update runtime state during the execution of the workflow",
"type": "array",
"optional": true,
"acceptVariable": true,
"array": [
{
"label": "Key",
"name": "key",
"type": "asyncOptions",
"loadMethod": "listRuntimeStateKeys",
"freeSolo": true
},
{
"label": "Value",
"name": "value",
"type": "string",
"acceptVariable": true,
"acceptNodeOutputAsVariable": true
}
],
"id": "agentAgentflow_1-input-agentUpdateState-array",
"display": true
}
],
"inputAnchors": [],
"inputs": {
"agentModel": "chatAnthropic",
"agentMessages": [
{
"role": "system",
"content": "<p>You are helpful assistant.</p><p>Todays date time is <span class=\"variable\" data-type=\"mention\" data-id=\"current_date_time\" data-label=\"current_date_time\">{{ current_date_time }}</span></p>"
}
],
"agentTools": [
{
"agentSelectedTool": "openAPIToolkit",
"agentSelectedToolRequiresHumanInput": "",
"agentSelectedToolConfig": {
"yamlFile": "",
"returnDirect": "",
"headers": "",
"removeNulls": "",
"customCode": "const fetch = require('node-fetch');\nconst url = $url;\nconst options = $options;\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst resp = await response.json();\n\treturn JSON.stringify(resp);\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}\n",
"agentSelectedTool": "openAPIToolkit"
}
}
],
"agentKnowledgeDocumentStores": "",
"agentKnowledgeVSEmbeddings": "",
"agentEnableMemory": true,
"agentMemoryType": "allMessages",
"agentUserMessage": "",
"agentReturnResponseAs": "userMessage",
"agentUpdateState": "",
"agentModelConfig": {
"cache": "",
"modelName": "claude-sonnet-4-0",
"temperature": 0.9,
"streaming": true,
"maxTokensToSample": "",
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