mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 09:01:06 +03:00
Feature/agentflow v2 (#4298)
* agent flow v2 * chat message background * conditon agent flow * add sticky note * update human input dynamic prompt * add HTTP node * add default tool icon * fix export duplicate agentflow v2 * add agentflow v2 marketplaces * refractor memoization, add iteration nodes * add agentflow v2 templates * add agentflow generator * add migration scripts for mysql, mariadb, posrgres and fix date filters for executions * update agentflow chat history config * fix get all flows error after deletion and rename * add previous nodes from parent node * update generator prompt * update run time state when using iteration nodes * prevent looping connection, prevent duplication of start node, add executeflow node, add nodes agentflow, chat history variable * update embed * convert form input to string * bump openai version * add react rewards * add prompt generator to prediction queue * add array schema to overrideconfig * UI touchup * update embedded chat version * fix node info dialog * update start node and loop default iteration * update UI fixes for agentflow v2 * fix async drop down * add export import to agentflowsv2, executions, fix UI bugs * add default empty object to flowlisttable * add ability to share trace link publicly, allow MCP tool use for Agent and Assistant * add runtime message length to variable, display conditions on UI * fix array validation * add ability to add knowledge from vector store and embeddings for agent * add agent tool require human input * add ephemeral memory to start node * update agent flow node to show vs and embeddings icons * feat: add import chat data functionality for AgentFlowV2 * feat: set chatMessage.executionId to null if not found in import JSON file or database * fix: MariaDB execution migration script to utf8mb4_unicode_520_ci --------- Co-authored-by: Ong Chung Yau <33013947+chungyau97@users.noreply.github.com> Co-authored-by: chungyau97 <chungyau97@gmail.com>
This commit is contained in:
Henry Heng
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,847 @@
|
||||
{
|
||||
"description": "An email reply HITL (human in the loop) agent that can proceed or refine the email with user input",
|
||||
"usecases": ["Human In Loop"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": -212.0817769699585,
|
||||
"y": 95.2304753249555
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
"label": "Start",
|
||||
"version": 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
|
||||
},
|
||||
{
|
||||
"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"
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-startState-array",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"startInputType": "chatInput",
|
||||
"formTitle": "",
|
||||
"formDescription": "",
|
||||
"formInputTypes": "",
|
||||
"startState": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "startAgentflow_0-output-startAgentflow",
|
||||
"label": "Start",
|
||||
"name": "startAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 101,
|
||||
"height": 65,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -212.0817769699585,
|
||||
"y": 95.2304753249555
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "agentAgentflow_0",
|
||||
"position": {
|
||||
"x": -62.25,
|
||||
"y": 76
|
||||
},
|
||||
"data": {
|
||||
"id": "agentAgentflow_0",
|
||||
"label": "Email Reply 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. 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_0-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_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 a customer support agent working in Flowise Inc. Write a professional email reply to user's query. Use the web search tools to get more details about the prospect.</p>"
|
||||
}
|
||||
],
|
||||
"agentTools": [
|
||||
{
|
||||
"agentSelectedTool": "googleCustomSearch",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "googleCustomSearch"
|
||||
}
|
||||
},
|
||||
{
|
||||
"agentSelectedTool": "currentDateTime",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "currentDateTime"
|
||||
}
|
||||
}
|
||||
],
|
||||
"agentKnowledgeDocumentStores": "",
|
||||
"agentEnableMemory": true,
|
||||
"agentMemoryType": "allMessages",
|
||||
"agentUserMessage": "",
|
||||
"agentReturnResponseAs": "userMessage",
|
||||
"agentUpdateState": "",
|
||||
"agentModelConfig": {
|
||||
"cache": "",
|
||||
"modelName": "gpt-4o-mini",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"strictToolCalling": "",
|
||||
"stopSequence": "",
|
||||
"basepath": "",
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": "",
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium",
|
||||
"agentModel": "chatOpenAI"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "agentAgentflow_0-output-agentAgentflow",
|
||||
"label": "Agent",
|
||||
"name": "agentAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 182,
|
||||
"height": 103,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -62.25,
|
||||
"y": 76
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "humanInputAgentflow_0",
|
||||
"position": {
|
||||
"x": 156.05666363734434,
|
||||
"y": 86.62266545493773
|
||||
},
|
||||
"data": {
|
||||
"id": "humanInputAgentflow_0",
|
||||
"label": "Human Input 0",
|
||||
"version": 1,
|
||||
"name": "humanInputAgentflow",
|
||||
"type": "HumanInput",
|
||||
"color": "#6E6EFD",
|
||||
"baseClasses": ["HumanInput"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Request human input, approval or rejection during execution",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Description Type",
|
||||
"name": "humanInputDescriptionType",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Fixed",
|
||||
"name": "fixed",
|
||||
"description": "Specify a fixed description"
|
||||
},
|
||||
{
|
||||
"label": "Dynamic",
|
||||
"name": "dynamic",
|
||||
"description": "Use LLM to generate a description"
|
||||
}
|
||||
],
|
||||
"id": "humanInputAgentflow_0-input-humanInputDescriptionType-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Description",
|
||||
"name": "humanInputDescription",
|
||||
"type": "string",
|
||||
"placeholder": "Are you sure you want to proceed?",
|
||||
"acceptVariable": true,
|
||||
"rows": 4,
|
||||
"show": {
|
||||
"humanInputDescriptionType": "fixed"
|
||||
},
|
||||
"id": "humanInputAgentflow_0-input-humanInputDescription-string",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Model",
|
||||
"name": "humanInputModel",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"loadConfig": true,
|
||||
"show": {
|
||||
"humanInputDescriptionType": "dynamic"
|
||||
},
|
||||
"id": "humanInputAgentflow_0-input-humanInputModel-asyncOptions",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "humanInputModelPrompt",
|
||||
"type": "string",
|
||||
"default": "<p>Summarize the conversation between the user and the assistant, reiterate the last message from the assistant, and ask if user would like to proceed or if they have any feedback. </p>\n<ul>\n<li>Begin by capturing the key points of the conversation, ensuring that you reflect the main ideas and themes discussed.</li>\n<li>Then, clearly reproduce the last message sent by the assistant to maintain continuity. Make sure the whole message is reproduced.</li>\n<li>Finally, ask the user if they would like to proceed, or provide any feedback on the last assistant message</li>\n</ul>\n<h2 id=\"output-format-the-output-should-be-structured-in-three-parts-\">Output Format The output should be structured in three parts in text:</h2>\n<ul>\n<li>A summary of the conversation (1-3 sentences).</li>\n<li>The last assistant message (exactly as it appeared).</li>\n<li>Ask the user if they would like to proceed, or provide any feedback on last assistant message. No other explanation and elaboration is needed.</li>\n</ul>\n",
|
||||
"acceptVariable": true,
|
||||
"generateInstruction": true,
|
||||
"rows": 4,
|
||||
"show": {
|
||||
"humanInputDescriptionType": "dynamic"
|
||||
},
|
||||
"id": "humanInputAgentflow_0-input-humanInputModelPrompt-string",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Enable Feedback",
|
||||
"name": "humanInputEnableFeedback",
|
||||
"type": "boolean",
|
||||
"default": true,
|
||||
"id": "humanInputAgentflow_0-input-humanInputEnableFeedback-boolean",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"humanInputDescriptionType": "fixed",
|
||||
"humanInputEnableFeedback": true,
|
||||
"humanInputModelConfig": {
|
||||
"cache": "",
|
||||
"modelName": "gpt-4o-mini",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"strictToolCalling": "",
|
||||
"stopSequence": "",
|
||||
"basepath": "",
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": "",
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium",
|
||||
"humanInputModel": "chatOpenAI"
|
||||
},
|
||||
"humanInputDescription": "<p>Are you sure you want to proceed?</p>"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "humanInputAgentflow_0-output-0",
|
||||
"label": "Human Input",
|
||||
"name": "humanInputAgentflow"
|
||||
},
|
||||
{
|
||||
"id": "humanInputAgentflow_0-output-1",
|
||||
"label": "Human Input",
|
||||
"name": "humanInputAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"humanInputAgentflow": ""
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 161,
|
||||
"height": 80,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 156.05666363734434,
|
||||
"y": 86.62266545493773
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "directReplyAgentflow_0",
|
||||
"position": {
|
||||
"x": 363.0101864947954,
|
||||
"y": 35.15053748988734
|
||||
},
|
||||
"data": {
|
||||
"id": "directReplyAgentflow_0",
|
||||
"label": "Direct Reply 0",
|
||||
"version": 1,
|
||||
"name": "directReplyAgentflow",
|
||||
"type": "DirectReply",
|
||||
"color": "#4DDBBB",
|
||||
"hideOutput": true,
|
||||
"baseClasses": ["DirectReply"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Directly reply to the user with a message",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Message",
|
||||
"name": "directReplyMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"acceptVariable": true,
|
||||
"id": "directReplyAgentflow_0-input-directReplyMessage-string",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"directReplyMessage": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"agentAgentflow_0\" data-label=\"agentAgentflow_0\">{{ agentAgentflow_0 }}</span> </p>"
|
||||
},
|
||||
"outputAnchors": [],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 155,
|
||||
"height": 65,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 363.0101864947954,
|
||||
"y": 35.15053748988734
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "loopAgentflow_0",
|
||||
"position": {
|
||||
"x": 366.5975521223236,
|
||||
"y": 130.12266545493773
|
||||
},
|
||||
"data": {
|
||||
"id": "loopAgentflow_0",
|
||||
"label": "Loop 0",
|
||||
"version": 1,
|
||||
"name": "loopAgentflow",
|
||||
"type": "Loop",
|
||||
"color": "#FFA07A",
|
||||
"hideOutput": true,
|
||||
"baseClasses": ["Loop"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Loop back to a previous node",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Loop Back To",
|
||||
"name": "loopBackToNode",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listPreviousNodes",
|
||||
"freeSolo": true,
|
||||
"id": "loopAgentflow_0-input-loopBackToNode-asyncOptions",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Max Loop Count",
|
||||
"name": "maxLoopCount",
|
||||
"type": "number",
|
||||
"default": 5,
|
||||
"id": "loopAgentflow_0-input-maxLoopCount-number",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"loopBackToNode": "agentAgentflow_0-Email Reply Agent",
|
||||
"maxLoopCount": 5
|
||||
},
|
||||
"outputAnchors": [],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 113,
|
||||
"height": 65,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 366.5975521223236,
|
||||
"y": 130.12266545493773
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "startAgentflow_0",
|
||||
"sourceHandle": "startAgentflow_0-output-startAgentflow",
|
||||
"target": "agentAgentflow_0",
|
||||
"targetHandle": "agentAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#7EE787",
|
||||
"targetColor": "#4DD0E1",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-agentAgentflow_0-agentAgentflow_0"
|
||||
},
|
||||
{
|
||||
"source": "agentAgentflow_0",
|
||||
"sourceHandle": "agentAgentflow_0-output-agentAgentflow",
|
||||
"target": "humanInputAgentflow_0",
|
||||
"targetHandle": "humanInputAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#4DD0E1",
|
||||
"targetColor": "#6E6EFD",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "agentAgentflow_0-agentAgentflow_0-output-agentAgentflow-humanInputAgentflow_0-humanInputAgentflow_0"
|
||||
},
|
||||
{
|
||||
"source": "humanInputAgentflow_0",
|
||||
"sourceHandle": "humanInputAgentflow_0-output-0",
|
||||
"target": "directReplyAgentflow_0",
|
||||
"targetHandle": "directReplyAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#6E6EFD",
|
||||
"targetColor": "#4DDBBB",
|
||||
"edgeLabel": "proceed",
|
||||
"isHumanInput": true
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "humanInputAgentflow_0-humanInputAgentflow_0-output-0-directReplyAgentflow_0-directReplyAgentflow_0"
|
||||
},
|
||||
{
|
||||
"source": "humanInputAgentflow_0",
|
||||
"sourceHandle": "humanInputAgentflow_0-output-1",
|
||||
"target": "loopAgentflow_0",
|
||||
"targetHandle": "loopAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#6E6EFD",
|
||||
"targetColor": "#FFA07A",
|
||||
"edgeLabel": "reject",
|
||||
"isHumanInput": true
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "humanInputAgentflow_0-humanInputAgentflow_0-output-1-loopAgentflow_0-loopAgentflow_0"
|
||||
}
|
||||
]
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,718 @@
|
||||
{
|
||||
"description": "An agent that can post message to Slack channel",
|
||||
"usecases": ["Agent"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": -192.5,
|
||||
"y": 68
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
"label": "Start",
|
||||
"version": 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
|
||||
},
|
||||
{
|
||||
"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"
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-startState-array",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"startInputType": "chatInput",
|
||||
"formTitle": "",
|
||||
"formDescription": "",
|
||||
"formInputTypes": "",
|
||||
"startState": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "startAgentflow_0-output-startAgentflow",
|
||||
"label": "Start",
|
||||
"name": "startAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 101,
|
||||
"height": 65,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -192.5,
|
||||
"y": 68
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "llmAgentflow_0",
|
||||
"position": {
|
||||
"x": -31.25,
|
||||
"y": 64.5
|
||||
},
|
||||
"data": {
|
||||
"id": "llmAgentflow_0",
|
||||
"label": "General Agent",
|
||||
"version": 1,
|
||||
"name": "llmAgentflow",
|
||||
"type": "LLM",
|
||||
"color": "#64B5F6",
|
||||
"baseClasses": ["LLM"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Large language models to analyze user-provided inputs and generate responses",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Model",
|
||||
"name": "llmModel",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"loadConfig": true,
|
||||
"id": "llmAgentflow_0-input-llmModel-asyncOptions",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Messages",
|
||||
"name": "llmMessages",
|
||||
"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": "llmAgentflow_0-input-llmMessages-array",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Enable Memory",
|
||||
"name": "llmEnableMemory",
|
||||
"type": "boolean",
|
||||
"description": "Enable memory for the conversation thread",
|
||||
"default": true,
|
||||
"optional": true,
|
||||
"id": "llmAgentflow_0-input-llmEnableMemory-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Memory Type",
|
||||
"name": "llmMemoryType",
|
||||
"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": {
|
||||
"llmEnableMemory": true
|
||||
},
|
||||
"id": "llmAgentflow_0-input-llmMemoryType-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Window Size",
|
||||
"name": "llmMemoryWindowSize",
|
||||
"type": "number",
|
||||
"default": "20",
|
||||
"description": "Uses a fixed window size to surface the last N messages",
|
||||
"show": {
|
||||
"llmMemoryType": "windowSize"
|
||||
},
|
||||
"id": "llmAgentflow_0-input-llmMemoryWindowSize-number",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Max Token Limit",
|
||||
"name": "llmMemoryMaxTokenLimit",
|
||||
"type": "number",
|
||||
"default": "2000",
|
||||
"description": "Summarize conversations once token limit is reached. Default to 2000",
|
||||
"show": {
|
||||
"llmMemoryType": "conversationSummaryBuffer"
|
||||
},
|
||||
"id": "llmAgentflow_0-input-llmMemoryMaxTokenLimit-number",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Input Message",
|
||||
"name": "llmUserMessage",
|
||||
"type": "string",
|
||||
"description": "Add an input message as user message at the end of the conversation",
|
||||
"rows": 4,
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"show": {
|
||||
"llmEnableMemory": true
|
||||
},
|
||||
"id": "llmAgentflow_0-input-llmUserMessage-string",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Return Response As",
|
||||
"name": "llmReturnResponseAs",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "User Message",
|
||||
"name": "userMessage"
|
||||
},
|
||||
{
|
||||
"label": "Assistant Message",
|
||||
"name": "assistantMessage"
|
||||
}
|
||||
],
|
||||
"default": "userMessage",
|
||||
"id": "llmAgentflow_0-input-llmReturnResponseAs-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "JSON Structured Output",
|
||||
"name": "llmStructuredOutput",
|
||||
"description": "Instruct the LLM to give output in a JSON structured schema",
|
||||
"type": "array",
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"array": [
|
||||
{
|
||||
"label": "Key",
|
||||
"name": "key",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"label": "Type",
|
||||
"name": "type",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "String",
|
||||
"name": "string"
|
||||
},
|
||||
{
|
||||
"label": "String Array",
|
||||
"name": "stringArray"
|
||||
},
|
||||
{
|
||||
"label": "Number",
|
||||
"name": "number"
|
||||
},
|
||||
{
|
||||
"label": "Boolean",
|
||||
"name": "boolean"
|
||||
},
|
||||
{
|
||||
"label": "Enum",
|
||||
"name": "enum"
|
||||
},
|
||||
{
|
||||
"label": "JSON Array",
|
||||
"name": "jsonArray"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"label": "Enum Values",
|
||||
"name": "enumValues",
|
||||
"type": "string",
|
||||
"placeholder": "value1, value2, value3",
|
||||
"description": "Enum values. Separated by comma",
|
||||
"optional": true,
|
||||
"show": {
|
||||
"llmStructuredOutput[$index].type": "enum"
|
||||
}
|
||||
},
|
||||
{
|
||||
"label": "JSON Schema",
|
||||
"name": "jsonSchema",
|
||||
"type": "code",
|
||||
"placeholder": "{\n \"answer\": {\n \"type\": \"string\",\n \"description\": \"Value of the answer\"\n },\n \"reason\": {\n \"type\": \"string\",\n \"description\": \"Reason for the answer\"\n },\n \"optional\": {\n \"type\": \"boolean\"\n },\n \"count\": {\n \"type\": \"number\"\n },\n \"children\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"value\": {\n \"type\": \"string\",\n \"description\": \"Value of the children's answer\"\n }\n }\n }\n }\n}",
|
||||
"description": "JSON schema for the structured output",
|
||||
"optional": true,
|
||||
"show": {
|
||||
"llmStructuredOutput[$index].type": "jsonArray"
|
||||
}
|
||||
},
|
||||
{
|
||||
"label": "Description",
|
||||
"name": "description",
|
||||
"type": "string",
|
||||
"placeholder": "Description of the key"
|
||||
}
|
||||
],
|
||||
"id": "llmAgentflow_0-input-llmStructuredOutput-array",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Update Flow State",
|
||||
"name": "llmUpdateState",
|
||||
"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": "llmAgentflow_0-input-llmUpdateState-array",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"llmModel": "chatOpenAI",
|
||||
"llmMessages": "",
|
||||
"llmEnableMemory": true,
|
||||
"llmMemoryType": "allMessages",
|
||||
"llmUserMessage": "",
|
||||
"llmReturnResponseAs": "userMessage",
|
||||
"llmStructuredOutput": "",
|
||||
"llmUpdateState": "",
|
||||
"llmModelConfig": {
|
||||
"credential": "",
|
||||
"modelName": "gpt-4o-mini",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"strictToolCalling": "",
|
||||
"stopSequence": "",
|
||||
"basepath": "",
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": "",
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium",
|
||||
"llmModel": "chatOpenAI"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "llmAgentflow_0-output-llmAgentflow",
|
||||
"label": "LLM",
|
||||
"name": "llmAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 168,
|
||||
"height": 71,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -31.25,
|
||||
"y": 64.5
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "toolAgentflow_0",
|
||||
"position": {
|
||||
"x": 182.75,
|
||||
"y": 64.5
|
||||
},
|
||||
"data": {
|
||||
"id": "toolAgentflow_0",
|
||||
"label": "Slack Reply",
|
||||
"version": 1,
|
||||
"name": "toolAgentflow",
|
||||
"type": "Tool",
|
||||
"color": "#d4a373",
|
||||
"baseClasses": ["Tool"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Tools allow LLM to interact with external systems",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Tool",
|
||||
"name": "selectedTool",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listTools",
|
||||
"loadConfig": true,
|
||||
"id": "toolAgentflow_0-input-selectedTool-asyncOptions",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Tool Input Arguments",
|
||||
"name": "toolInputArgs",
|
||||
"type": "array",
|
||||
"acceptVariable": true,
|
||||
"refresh": true,
|
||||
"array": [
|
||||
{
|
||||
"label": "Input Argument Name",
|
||||
"name": "inputArgName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listToolInputArgs",
|
||||
"refresh": true
|
||||
},
|
||||
{
|
||||
"label": "Input Argument Value",
|
||||
"name": "inputArgValue",
|
||||
"type": "string",
|
||||
"acceptVariable": true
|
||||
}
|
||||
],
|
||||
"show": {
|
||||
"selectedTool": ".+"
|
||||
},
|
||||
"id": "toolAgentflow_0-input-toolInputArgs-array",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Update Flow State",
|
||||
"name": "toolUpdateState",
|
||||
"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": "toolAgentflow_0-input-toolUpdateState-array",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"selectedTool": "slackMCP",
|
||||
"toolInputArgs": [
|
||||
{
|
||||
"inputArgName": "channel_id",
|
||||
"inputArgValue": "<p>ABCDEFG</p>"
|
||||
},
|
||||
{
|
||||
"inputArgName": "text",
|
||||
"inputArgValue": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"llmAgentflow_0\" data-label=\"llmAgentflow_0\">{{ llmAgentflow_0 }}</span> </p>"
|
||||
}
|
||||
],
|
||||
"toolUpdateState": "",
|
||||
"selectedToolConfig": {
|
||||
"mcpActions": "[\"slack_post_message\"]",
|
||||
"selectedTool": "slackMCP"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "toolAgentflow_0-output-toolAgentflow",
|
||||
"label": "Tool",
|
||||
"name": "toolAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 142,
|
||||
"height": 71,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 182.75,
|
||||
"y": 64.5
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "directReplyAgentflow_0",
|
||||
"position": {
|
||||
"x": 366.75,
|
||||
"y": 67.5
|
||||
},
|
||||
"data": {
|
||||
"id": "directReplyAgentflow_0",
|
||||
"label": "Direct Reply To Chat",
|
||||
"version": 1,
|
||||
"name": "directReplyAgentflow",
|
||||
"type": "DirectReply",
|
||||
"color": "#4DDBBB",
|
||||
"hideOutput": true,
|
||||
"baseClasses": ["DirectReply"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Directly reply to the user with a message",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Message",
|
||||
"name": "directReplyMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"acceptVariable": true,
|
||||
"id": "directReplyAgentflow_0-input-directReplyMessage-string",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"directReplyMessage": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"llmAgentflow_0\" data-label=\"llmAgentflow_0\">{{ llmAgentflow_0 }}</span> </p>"
|
||||
},
|
||||
"outputAnchors": [],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 194,
|
||||
"height": 65,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 366.75,
|
||||
"y": 67.5
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "startAgentflow_0",
|
||||
"sourceHandle": "startAgentflow_0-output-startAgentflow",
|
||||
"target": "llmAgentflow_0",
|
||||
"targetHandle": "llmAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#7EE787",
|
||||
"targetColor": "#64B5F6",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-llmAgentflow_0-llmAgentflow_0"
|
||||
},
|
||||
{
|
||||
"source": "llmAgentflow_0",
|
||||
"sourceHandle": "llmAgentflow_0-output-llmAgentflow",
|
||||
"target": "toolAgentflow_0",
|
||||
"targetHandle": "toolAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#64B5F6",
|
||||
"targetColor": "#d4a373",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "llmAgentflow_0-llmAgentflow_0-output-llmAgentflow-toolAgentflow_0-toolAgentflow_0"
|
||||
},
|
||||
{
|
||||
"source": "toolAgentflow_0",
|
||||
"sourceHandle": "toolAgentflow_0-output-toolAgentflow",
|
||||
"target": "directReplyAgentflow_0",
|
||||
"targetHandle": "directReplyAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#d4a373",
|
||||
"targetColor": "#4DDBBB",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "toolAgentflow_0-toolAgentflow_0-output-toolAgentflow-directReplyAgentflow_0-directReplyAgentflow_0"
|
||||
}
|
||||
]
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user