{ "description": "Different ways of agents that can interact with APIs", "usecases": ["Interacting with API"], "nodes": [ { "id": "startAgentflow_0", "type": "agentFlow", "position": { "x": 122, "y": 46.5 }, "data": { "id": "startAgentflow_0", "label": "Start", "version": 1.1, "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", "name": "formTitle", "type": "string", "placeholder": "Please Fill Out The Form", "show": { "startInputType": "formInput" }, "id": "startAgentflow_0-input-formTitle-string", "display": false }, { "label": "Form Description", "name": "formDescription", "type": "string", "placeholder": "Complete all fields below to continue", "show": { "startInputType": "formInput" }, "id": "startAgentflow_0-input-formDescription-string", "display": false }, { "label": "Form Input Types", "name": "formInputTypes", "description": "Specify the type of form input", "type": "array", "show": { "startInputType": "formInput" }, "array": [ { "label": "Type", "name": "type", "type": "options", "options": [ { "label": "String", "name": "string" }, { "label": "Number", "name": "number" }, { "label": "Boolean", "name": "boolean" }, { "label": "Options", "name": "options" } ], "default": "string" }, { "label": "Label", "name": "label", "type": "string", "placeholder": "Label for the input" }, { "label": "Variable Name", "name": "name", "type": "string", "placeholder": "Variable name for the input (must be camel case)", "description": "Variable name must be camel case. For example: firstName, lastName, etc." }, { "label": "Add Options", "name": "addOptions", "type": "array", "show": { "formInputTypes[$index].type": "options" }, "array": [ { "label": "Option", "name": "option", "type": "string" } ] } ], "id": "startAgentflow_0-input-formInputTypes-array", "display": false }, { "label": "Ephemeral Memory", "name": "startEphemeralMemory", "type": "boolean", "description": "Start fresh for every execution without past chat history", "optional": true, "id": "startAgentflow_0-input-startEphemeralMemory-boolean", "display": true }, { "label": "Flow State", "name": "startState", "description": "Runtime state during the execution of the workflow", "type": "array", "optional": true, "array": [ { "label": "Key", "name": "key", "type": "string", "placeholder": "Foo" }, { "label": "Value", "name": "value", "type": "string", "placeholder": "Bar", "optional": true } ], "id": "startAgentflow_0-input-startState-array", "display": true }, { "label": "Persist State", "name": "startPersistState", "type": "boolean", "description": "Persist the state in the same session", "optional": true, "id": "startAgentflow_0-input-startPersistState-boolean", "display": true } ], "inputAnchors": [], "inputs": { "startInputType": "chatInput", "formTitle": "", "formDescription": "", "formInputTypes": "", "startEphemeralMemory": "", "startState": "", "startPersistState": "" }, "outputAnchors": [ { "id": "startAgentflow_0-output-startAgentflow", "label": "Start", "name": "startAgentflow" } ], "outputs": {}, "selected": false }, "width": 103, "height": 66, "positionAbsolute": { "x": 122, "y": 46.5 }, "selected": false, "dragging": false }, { "id": "agentAgentflow_0", "position": { "x": 276.5, "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", "loadConfig": true, "id": "agentAgentflow_0-input-agentModel-asyncOptions", "display": true }, { "label": "Messages", "name": "agentMessages", "type": "array", "optional": true, "acceptVariable": true, "array": [ { "label": "Role", "name": "role", "type": "options", "options": [ { "label": "System", "name": "system" }, { "label": "Assistant", "name": "assistant" }, { "label": "Developer", "name": "developer" }, { "label": "User", "name": "user" } ] }, { "label": "Content", "name": "content", "type": "string", "acceptVariable": true, "generateInstruction": true, "rows": 4 } ], "id": "agentAgentflow_0-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_0-input-agentTools-array", "display": true }, { "label": "Knowledge (Document Stores)", "name": "agentKnowledgeDocumentStores", "type": "array", "description": "Give your agent context about different document sources. 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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": "

You are helpful assistant.

Todays date time is {{ current_date_time }}

" } ], "agentTools": [ { "agentSelectedTool": "requestsGet", "agentSelectedToolRequiresHumanInput": "", "agentSelectedToolConfig": { "requestsGetUrl": "

http://localhost:5566/events

", "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": "

http://localhost:5566/events

", "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": "

http://localhost:5566/events

", "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": "

http://localhost:5566/events

", "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", "display": true }, { "label": "Messages", "name": "agentMessages", "type": "array", "optional": true, "acceptVariable": true, "array": [ { "label": "Role", "name": "role", "type": "options", "options": [ { "label": "System", "name": "system" }, { "label": "Assistant", "name": "assistant" }, { "label": "Developer", "name": "developer" }, { "label": "User", "name": "user" } ] }, { "label": "Content", "name": "content", "type": "string", "acceptVariable": true, "generateInstruction": true, "rows": 4 } ], "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", "type": "array", "description": "Give your agent context about different document sources. Document stores must be upserted in advance.", "array": [ { "label": "Document Store", "name": "documentStore", "type": "asyncOptions", "loadMethod": "listStores" }, { "label": "Describe Knowledge", "name": "docStoreDescription", "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", "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_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", "name": "conversationSummary", "description": "Summarizes the whole conversation" }, { "label": "Conversation Summary Buffer", "name": "conversationSummaryBuffer", "description": "Summarize conversations once token limit is reached. 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You are helpful assistant.

Todays date time is {{ current_date_time }}

" } ], "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": "", "topP": "", "topK": "", "extendedThinking": "", "budgetTokens": 1024, "allowImageUploads": "", "agentModel": "chatAnthropic" } }, "outputAnchors": [ { "id": "agentAgentflow_1-output-agentAgentflow", "label": "Agent", "name": "agentAgentflow" } ], "outputs": {}, "selected": false }, "type": "agentFlow", "width": 213, "height": 100, "selected": false, "positionAbsolute": { "x": 486.5, "y": 30.25 }, "dragging": false }, { "id": "stickyNoteAgentflow_0", "position": { "x": 359.646787967208, "y": -168.84288303219904 }, "data": { "id": "stickyNoteAgentflow_0", "label": "Sticky Note", "version": 1, "name": "stickyNoteAgentflow", "type": "StickyNote", "color": "#fee440", "baseClasses": ["StickyNote"], "category": "Agent Flows", "description": "Add notes to the agent flow", "inputParams": [ { "label": "", "name": "note", "type": "string", "rows": 1, "placeholder": "Type something here", "optional": true, "id": "stickyNoteAgentflow_0-input-note-string", "display": true } ], "inputAnchors": [], "inputs": { "note": "There are two ways of interacting with API\n\n- Request GET, PUT, POST, 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"options", "options": [ { "label": "GET", "name": "GET" }, { "label": "POST", "name": "POST" }, { "label": "PUT", "name": "PUT" }, { "label": "DELETE", "name": "DELETE" }, { "label": "PATCH", "name": "PATCH" } ], "default": "GET", "id": "httpAgentflow_0-input-method-options", "display": true }, { "label": "URL", "name": "url", "type": "string", "id": "httpAgentflow_0-input-url-string", "display": true }, { "label": "Headers", "name": "headers", "type": "array", "acceptVariable": true, "array": [ { "label": "Key", "name": "key", "type": "string", "default": "" }, { "label": "Value", "name": "value", "type": "string", "default": "", "acceptVariable": true } ], "optional": true, "id": "httpAgentflow_0-input-headers-array", "display": true }, { "label": "Query Params", "name": "queryParams", "type": "array", "acceptVariable": true, "array": [ { "label": "Key", "name": "key", "type": "string", "default": "" }, { "label": "Value", "name": "value", "type": "string", "default": "", "acceptVariable": true } ], "optional": true, "id": "httpAgentflow_0-input-queryParams-array", "display": true }, { "label": "Body Type", "name": "bodyType", "type": "options", "options": [ { "label": "JSON", "name": "json" }, { "label": "Raw", "name": "raw" }, { "label": "Form Data", "name": "formData" }, { "label": "x-www-form-urlencoded", "name": "xWwwFormUrlencoded" } ], "optional": true, "id": "httpAgentflow_0-input-bodyType-options", "display": true }, { "label": "Body", "name": "body", "type": "string", "acceptVariable": true, "rows": 4, "show": { "bodyType": ["raw", "json"] }, "optional": true, "id": "httpAgentflow_0-input-body-string", "display": false }, { "label": "Body", "name": "body", "type": "array", "acceptVariable": true, "show": { "bodyType": ["xWwwFormUrlencoded", "formData"] }, "array": [ { "label": "Key", "name": "key", "type": "string", "default": "" }, { "label": "Value", "name": "value", "type": "string", "default": "", "acceptVariable": true } ], "optional": 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