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https://github.com/farcasclaudiu/Flowise.git
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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
@@ -1,7 +1,7 @@
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{
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"description": "Customer support team consisting of Support Representative and Quality Assurance Specialist to handle support tickets",
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"framework": ["Langchain"],
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"usecases": ["Customer Support"],
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"usecases": ["Customer Support", "Hierarchical Agent Teams"],
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"nodes": [
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{
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"id": "supervisor_0",
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@@ -1,7 +1,7 @@
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{
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"description": "Research leads and create personalized email drafts for sales team",
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"framework": ["Langchain"],
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"usecases": ["Leads"],
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"usecases": ["Leads", "Hierarchical Agent Teams"],
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"nodes": [
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{
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"id": "supervisor_0",
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@@ -1,7 +1,7 @@
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{
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"description": "A team of portfolio manager, financial analyst, and risk manager working together to optimize an investment portfolio.",
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"framework": ["Langchain"],
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"usecases": ["Finance & Accounting"],
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"usecases": ["Finance & Accounting", "Hierarchical Agent Teams"],
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"nodes": [
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{
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"id": "supervisor_0",
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@@ -1,7 +1,7 @@
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{
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"description": "Prompt engineering team working together to craft Worker Prompts for your AgentFlow.",
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"framework": ["Langchain"],
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"usecases": ["Engineering"],
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"usecases": ["Engineering", "Hierarchical Agent Teams"],
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"nodes": [
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{
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"id": "supervisor_0",
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@@ -1,7 +1,7 @@
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{
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||||
"description": "Software engineering team working together to build a feature, solve a problem, or complete a task.",
|
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"framework": ["Langchain"],
|
||||
"usecases": ["Engineering"],
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"usecases": ["Engineering", "Hierarchical Agent Teams"],
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"nodes": [
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{
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"id": "supervisor_0",
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@@ -1,7 +1,7 @@
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{
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"description": "Text to SQL query process using team of 3 agents: SQL Expert, SQL Reviewer, and SQL Executor",
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"framework": ["Langchain"],
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"usecases": ["SQL"],
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"usecases": ["SQL", "Hierarchical Agent Teams"],
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"nodes": [
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{
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"id": "supervisor_0",
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{
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"description": "An email reply HITL (human in the loop) agent that can proceed or refine the email with user input",
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"usecases": ["Human In Loop"],
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"nodes": [
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{
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"id": "startAgentflow_0",
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"type": "agentFlow",
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"position": {
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"x": -212.0817769699585,
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"y": 95.2304753249555
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},
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"data": {
|
||||
"id": "startAgentflow_0",
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"label": "Start",
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"version": 1,
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"name": "startAgentflow",
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"type": "Start",
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"color": "#7EE787",
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"hideInput": true,
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"baseClasses": ["Start"],
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"category": "Agent Flows",
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"description": "Starting point of the agentflow",
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"inputParams": [
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{
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"label": "Input Type",
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"name": "startInputType",
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"type": "options",
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"options": [
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{
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"label": "Chat Input",
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"name": "chatInput",
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"description": "Start the conversation with chat input"
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},
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{
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"label": "Form Input",
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"name": "formInput",
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"description": "Start the workflow with form inputs"
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||||
}
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],
|
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"default": "chatInput",
|
||||
"id": "startAgentflow_0-input-startInputType-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Form Title",
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||||
"name": "formTitle",
|
||||
"type": "string",
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||||
"placeholder": "Please Fill Out The Form",
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"show": {
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||||
"startInputType": "formInput"
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},
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||||
"id": "startAgentflow_0-input-formTitle-string",
|
||||
"display": false
|
||||
},
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||||
{
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||||
"label": "Form Description",
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"name": "formDescription",
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"type": "string",
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"placeholder": "Complete all fields below to continue",
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"show": {
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"startInputType": "formInput"
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||||
},
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||||
"id": "startAgentflow_0-input-formDescription-string",
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"display": false
|
||||
},
|
||||
{
|
||||
"label": "Form Input Types",
|
||||
"name": "formInputTypes",
|
||||
"description": "Specify the type of form input",
|
||||
"type": "array",
|
||||
"show": {
|
||||
"startInputType": "formInput"
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||||
},
|
||||
"array": [
|
||||
{
|
||||
"label": "Type",
|
||||
"name": "type",
|
||||
"type": "options",
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||||
"options": [
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||||
{
|
||||
"label": "String",
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||||
"name": "string"
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||||
},
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{
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||||
"label": "Number",
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"name": "number"
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||||
},
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||||
{
|
||||
"label": "Boolean",
|
||||
"name": "boolean"
|
||||
},
|
||||
{
|
||||
"label": "Options",
|
||||
"name": "options"
|
||||
}
|
||||
],
|
||||
"default": "string"
|
||||
},
|
||||
{
|
||||
"label": "Label",
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||||
"name": "label",
|
||||
"type": "string",
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||||
"placeholder": "Label for the input"
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||||
},
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{
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"label": "Variable Name",
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"name": "name",
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||||
"type": "string",
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||||
"placeholder": "Variable name for the input (must be camel case)",
|
||||
"description": "Variable name must be camel case. For example: firstName, lastName, etc."
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||||
},
|
||||
{
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||||
"label": "Add Options",
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||||
"name": "addOptions",
|
||||
"type": "array",
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||||
"show": {
|
||||
"formInputTypes[$index].type": "options"
|
||||
},
|
||||
"array": [
|
||||
{
|
||||
"label": "Option",
|
||||
"name": "option",
|
||||
"type": "string"
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||||
}
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||||
]
|
||||
}
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||||
],
|
||||
"id": "startAgentflow_0-input-formInputTypes-array",
|
||||
"display": false
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||||
},
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||||
{
|
||||
"label": "Ephemeral Memory",
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||||
"name": "startEphemeralMemory",
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||||
"type": "boolean",
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||||
"description": "Start fresh for every execution without past chat history",
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"optional": true
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},
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{
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"label": "Flow State",
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"name": "startState",
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"description": "Runtime state during the execution of the workflow",
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"type": "array",
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"optional": true,
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"array": [
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{
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||||
"label": "Key",
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||||
"name": "key",
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||||
"type": "string",
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"placeholder": "Foo"
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||||
},
|
||||
{
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||||
"label": "Value",
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||||
"name": "value",
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"type": "string",
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"placeholder": "Bar"
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}
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||||
],
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||||
"id": "startAgentflow_0-input-startState-array",
|
||||
"display": true
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||||
}
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||||
],
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||||
"inputAnchors": [],
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||||
"inputs": {
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||||
"startInputType": "chatInput",
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||||
"formTitle": "",
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||||
"formDescription": "",
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||||
"formInputTypes": "",
|
||||
"startState": ""
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||||
},
|
||||
"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",
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||||
"position": {
|
||||
"x": -62.25,
|
||||
"y": 76
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||||
},
|
||||
"data": {
|
||||
"id": "agentAgentflow_0",
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||||
"label": "Email Reply Agent",
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||||
"version": 1,
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||||
"name": "agentAgentflow",
|
||||
"type": "Agent",
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||||
"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"
|
||||
},
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||||
{
|
||||
"label": "Assistant",
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||||
"name": "assistant"
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||||
},
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||||
{
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||||
"label": "Developer",
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||||
"name": "developer"
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||||
},
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||||
{
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||||
"label": "User",
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||||
"name": "user"
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||||
}
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||||
]
|
||||
},
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||||
{
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||||
"label": "Content",
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||||
"name": "content",
|
||||
"type": "string",
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||||
"acceptVariable": true,
|
||||
"generateInstruction": true,
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||||
"rows": 4
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||||
}
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||||
],
|
||||
"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,
|
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File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
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|
||||
"version": 3,
|
||||
"name": "pinecone",
|
||||
"type": "Pinecone",
|
||||
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
|
||||
"category": "Vector Stores",
|
||||
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["pineconeApi"],
|
||||
"id": "pinecone_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Index",
|
||||
"name": "pineconeIndex",
|
||||
"type": "string",
|
||||
"id": "pinecone_0-input-pineconeIndex-string"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Namespace",
|
||||
"name": "pineconeNamespace",
|
||||
"type": "string",
|
||||
"placeholder": "my-first-namespace",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-pineconeNamespace-string"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Metadata Filter",
|
||||
"name": "pineconeMetadataFilter",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "pinecone_0-input-pineconeMetadataFilter-json"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Default to 4",
|
||||
"placeholder": "4",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-topK-number"
|
||||
},
|
||||
{
|
||||
"label": "Search Type",
|
||||
"name": "searchType",
|
||||
"type": "options",
|
||||
"default": "similarity",
|
||||
"options": [
|
||||
{
|
||||
"label": "Similarity",
|
||||
"name": "similarity"
|
||||
},
|
||||
{
|
||||
"label": "Max Marginal Relevance",
|
||||
"name": "mmr"
|
||||
}
|
||||
],
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-searchType-options"
|
||||
},
|
||||
{
|
||||
"label": "Fetch K (for MMR Search)",
|
||||
"name": "fetchK",
|
||||
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
|
||||
"placeholder": "20",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-fetchK-number"
|
||||
},
|
||||
{
|
||||
"label": "Lambda (for MMR Search)",
|
||||
"name": "lambda",
|
||||
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
|
||||
"placeholder": "0.5",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-lambda-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Document",
|
||||
"name": "document",
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-document-Document"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "pinecone_0-input-embeddings-Embeddings"
|
||||
},
|
||||
{
|
||||
"label": "Record Manager",
|
||||
"name": "recordManager",
|
||||
"type": "RecordManager",
|
||||
"description": "Keep track of the record to prevent duplication",
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-recordManager-RecordManager"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": "",
|
||||
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
|
||||
"recordManager": "",
|
||||
"pineconeIndex": "",
|
||||
"pineconeNamespace": "",
|
||||
"pineconeMetadataFilter": "",
|
||||
"topK": "",
|
||||
"searchType": "similarity",
|
||||
"fetchK": "",
|
||||
"lambda": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"description": "",
|
||||
"options": [
|
||||
{
|
||||
"id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Pinecone Retriever",
|
||||
"description": "",
|
||||
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Pinecone Vector Store",
|
||||
"description": "",
|
||||
"type": "Pinecone | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "retriever"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 512.2389361920059,
|
||||
"y": -36.80102752360557
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "stickyNote_0",
|
||||
"position": {
|
||||
"x": 1565.5672914362437,
|
||||
"y": -138.9994972608436
|
||||
},
|
||||
"type": "stickyNote",
|
||||
"data": {
|
||||
"id": "stickyNote_0",
|
||||
"label": "Sticky Note",
|
||||
"version": 2,
|
||||
"name": "stickyNote",
|
||||
"type": "StickyNote",
|
||||
"baseClasses": ["StickyNote"],
|
||||
"tags": ["Utilities"],
|
||||
"category": "Utilities",
|
||||
"description": "Add a sticky note",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "",
|
||||
"name": "note",
|
||||
"type": "string",
|
||||
"rows": 1,
|
||||
"placeholder": "Type something here",
|
||||
"optional": true,
|
||||
"id": "stickyNote_0-input-note-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "An agent that uses long-term memory (Pinecone in this example) together with a prompt for self-guided task completion.\n\nAgent has access to Serp API tool to search the web, and store the continuous results to Pinecone"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "stickyNote_0-output-stickyNote-StickyNote",
|
||||
"name": "stickyNote",
|
||||
"label": "StickyNote",
|
||||
"description": "Add a sticky note",
|
||||
"type": "StickyNote"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 163,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1565.5672914362437,
|
||||
"y": -138.9994972608436
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "autoGPT_0",
|
||||
"targetHandle": "autoGPT_0-input-model-BaseChatModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-autoGPT_0-autoGPT_0-input-model-BaseChatModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "serpAPI_0",
|
||||
"sourceHandle": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
|
||||
"target": "autoGPT_0",
|
||||
"targetHandle": "autoGPT_0-input-tools-Tool",
|
||||
"type": "buttonedge",
|
||||
"id": "serpAPI_0-serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool-autoGPT_0-autoGPT_0-input-tools-Tool",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "openAIEmbeddings_0",
|
||||
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"target": "pinecone_0",
|
||||
"targetHandle": "pinecone_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pinecone_0-pinecone_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "pinecone_0",
|
||||
"sourceHandle": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "autoGPT_0",
|
||||
"targetHandle": "autoGPT_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pinecone_0-pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-autoGPT_0-autoGPT_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,623 +0,0 @@
|
||||
{
|
||||
"description": "Use BabyAGI to create tasks and reprioritize for a given objective",
|
||||
"framework": ["Langchain"],
|
||||
"usecases": ["Reflective Agent"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 431,
|
||||
"id": "babyAGI_1",
|
||||
"position": {
|
||||
"x": 950.8042093214954,
|
||||
"y": 66.00028106865324
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "babyAGI_1",
|
||||
"label": "BabyAGI",
|
||||
"version": 2,
|
||||
"name": "babyAGI",
|
||||
"type": "BabyAGI",
|
||||
"baseClasses": ["BabyAGI"],
|
||||
"category": "Agents",
|
||||
"description": "Task Driven Autonomous Agent which creates new task and reprioritizes task list based on objective",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Task Loop",
|
||||
"name": "taskLoop",
|
||||
"type": "number",
|
||||
"default": 3,
|
||||
"id": "babyAGI_1-input-taskLoop-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Chat Model",
|
||||
"name": "model",
|
||||
"type": "BaseChatModel",
|
||||
"id": "babyAGI_1-input-model-BaseChatModel"
|
||||
},
|
||||
{
|
||||
"label": "Vector Store",
|
||||
"name": "vectorStore",
|
||||
"type": "VectorStore",
|
||||
"id": "babyAGI_1-input-vectorStore-VectorStore"
|
||||
},
|
||||
{
|
||||
"label": "Input Moderation",
|
||||
"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
|
||||
"name": "inputModeration",
|
||||
"type": "Moderation",
|
||||
"optional": true,
|
||||
"list": true,
|
||||
"id": "babyAGI_1-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"inputModeration": "",
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStore": "{{pinecone_0.data.instance}}",
|
||||
"taskLoop": 3
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "babyAGI_1-output-babyAGI-BabyAGI",
|
||||
"name": "babyAGI",
|
||||
"label": "BabyAGI",
|
||||
"type": "BabyAGI"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 950.8042093214954,
|
||||
"y": 66.00028106865324
|
||||
}
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 424,
|
||||
"id": "openAIEmbeddings_0",
|
||||
"position": {
|
||||
"x": -111.82510263637522,
|
||||
"y": -224.88655030419665
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "openAIEmbeddings_0",
|
||||
"label": "OpenAI Embeddings",
|
||||
"version": 4,
|
||||
"name": "openAIEmbeddings",
|
||||
"type": "OpenAIEmbeddings",
|
||||
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
|
||||
"category": "Embeddings",
|
||||
"description": "OpenAI API to generate embeddings for a given text",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "openAIEmbeddings_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "text-embedding-ada-002",
|
||||
"id": "openAIEmbeddings_0-input-modelName-asyncOptions"
|
||||
},
|
||||
{
|
||||
"label": "Strip New Lines",
|
||||
"name": "stripNewLines",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Batch Size",
|
||||
"name": "batchSize",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-batchSize-number"
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-timeout-number"
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "Dimensions",
|
||||
"name": "dimensions",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-dimensions-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"modelName": "text-embedding-ada-002",
|
||||
"stripNewLines": "",
|
||||
"batchSize": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"dimensions": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"name": "openAIEmbeddings",
|
||||
"label": "OpenAIEmbeddings",
|
||||
"description": "OpenAI API to generate embeddings for a given text",
|
||||
"type": "OpenAIEmbeddings | Embeddings"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -111.82510263637522,
|
||||
"y": -224.88655030419665
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 606,
|
||||
"id": "pinecone_0",
|
||||
"position": {
|
||||
"x": 245.707825551803,
|
||||
"y": -176.9243551667388
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "pinecone_0",
|
||||
"label": "Pinecone",
|
||||
"version": 3,
|
||||
"name": "pinecone",
|
||||
"type": "Pinecone",
|
||||
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
|
||||
"category": "Vector Stores",
|
||||
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["pineconeApi"],
|
||||
"id": "pinecone_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Index",
|
||||
"name": "pineconeIndex",
|
||||
"type": "string",
|
||||
"id": "pinecone_0-input-pineconeIndex-string"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Namespace",
|
||||
"name": "pineconeNamespace",
|
||||
"type": "string",
|
||||
"placeholder": "my-first-namespace",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-pineconeNamespace-string"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Metadata Filter",
|
||||
"name": "pineconeMetadataFilter",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "pinecone_0-input-pineconeMetadataFilter-json"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Default to 4",
|
||||
"placeholder": "4",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-topK-number"
|
||||
},
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||||
{
|
||||
"label": "Search Type",
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||||
"name": "searchType",
|
||||
"type": "options",
|
||||
"default": "similarity",
|
||||
"options": [
|
||||
{
|
||||
"label": "Similarity",
|
||||
"name": "similarity"
|
||||
},
|
||||
{
|
||||
"label": "Max Marginal Relevance",
|
||||
"name": "mmr"
|
||||
}
|
||||
],
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-searchType-options"
|
||||
},
|
||||
{
|
||||
"label": "Fetch K (for MMR Search)",
|
||||
"name": "fetchK",
|
||||
"description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
|
||||
"placeholder": "20",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-fetchK-number"
|
||||
},
|
||||
{
|
||||
"label": "Lambda (for MMR Search)",
|
||||
"name": "lambda",
|
||||
"description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
|
||||
"placeholder": "0.5",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-lambda-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Document",
|
||||
"name": "document",
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-document-Document"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "pinecone_0-input-embeddings-Embeddings"
|
||||
},
|
||||
{
|
||||
"label": "Record Manager",
|
||||
"name": "recordManager",
|
||||
"type": "RecordManager",
|
||||
"description": "Keep track of the record to prevent duplication",
|
||||
"optional": true,
|
||||
"id": "pinecone_0-input-recordManager-RecordManager"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": "",
|
||||
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
|
||||
"recordManager": "",
|
||||
"pineconeIndex": "",
|
||||
"pineconeNamespace": "",
|
||||
"pineconeMetadataFilter": "",
|
||||
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|
||||
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|
||||
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|
||||
"lambda": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"description": "",
|
||||
"options": [
|
||||
{
|
||||
"id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Pinecone Retriever",
|
||||
"description": "",
|
||||
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Pinecone Vector Store",
|
||||
"description": "",
|
||||
"type": "Pinecone | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "vectorStore"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
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},
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"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 670,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
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||||
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|
||||
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||||
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|
||||
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|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "chatOpenAI_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "gpt-3.5-turbo",
|
||||
"id": "chatOpenAI_0-input-modelName-options"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-maxTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-frequencyPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-presencePenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-timeout-number"
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-baseOptions-json"
|
||||
},
|
||||
{
|
||||
"label": "Allow Image Uploads",
|
||||
"name": "allowImageUploads",
|
||||
"type": "boolean",
|
||||
"description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
|
||||
"default": false,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-allowImageUploads-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Image Resolution",
|
||||
"description": "This parameter controls the resolution in which the model views the image.",
|
||||
"name": "imageResolution",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Low",
|
||||
"name": "low"
|
||||
},
|
||||
{
|
||||
"label": "High",
|
||||
"name": "high"
|
||||
},
|
||||
{
|
||||
"label": "Auto",
|
||||
"name": "auto"
|
||||
}
|
||||
],
|
||||
"default": "low",
|
||||
"optional": false,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-imageResolution-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"cache": "",
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": true,
|
||||
"imageResolution": "low"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
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"selected": false
|
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},
|
||||
"selected": false,
|
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"positionAbsolute": {
|
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"x": 597.7565040390853,
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"y": -381.01461408909825
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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": 949.0763123880214,
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"y": -172.0310628893923
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},
|
||||
"type": "stickyNote",
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||||
"data": {
|
||||
"id": "stickyNote_0",
|
||||
"label": "Sticky Note",
|
||||
"version": 2,
|
||||
"name": "stickyNote",
|
||||
"type": "StickyNote",
|
||||
"baseClasses": ["StickyNote"],
|
||||
"tags": ["Utilities"],
|
||||
"category": "Utilities",
|
||||
"description": "Add a sticky note",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "",
|
||||
"name": "note",
|
||||
"type": "string",
|
||||
"rows": 1,
|
||||
"placeholder": "Type something here",
|
||||
"optional": true,
|
||||
"id": "stickyNote_0-input-note-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "BabyAGI is made up of 3 components:\n\n- A chain responsible for creating tasks\n- A chain responsible for prioritising tasks\n- A chain responsible for executing tasks\n\nThese chains are executed in sequence until the task list is empty or the maximum number of iterations is reached"
|
||||
},
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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",
|
||||
"type": "StickyNote"
|
||||
}
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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": 203,
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"selected": false,
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"positionAbsolute": {
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"x": 949.0763123880214,
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"y": -172.0310628893923
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||||
"dragging": false
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||||
}
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||||
],
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||||
"edges": [
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{
|
||||
"source": "openAIEmbeddings_0",
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||||
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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||||
"target": "pinecone_0",
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||||
"targetHandle": "pinecone_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
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||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pinecone_0-pinecone_0-input-embeddings-Embeddings",
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||||
"data": {
|
||||
"label": ""
|
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|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "babyAGI_1",
|
||||
"targetHandle": "babyAGI_1-input-model-BaseChatModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-babyAGI_1-babyAGI_1-input-model-BaseChatModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
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|
||||
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|
||||
{
|
||||
"source": "pinecone_0",
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||||
"sourceHandle": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
|
||||
"target": "babyAGI_1",
|
||||
"targetHandle": "babyAGI_1-input-vectorStore-VectorStore",
|
||||
"type": "buttonedge",
|
||||
"id": "pinecone_0-pinecone_0-output-vectorStore-Pinecone|VectorStore-babyAGI_1-babyAGI_1-input-vectorStore-VectorStore",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,767 +0,0 @@
|
||||
{
|
||||
"description": "Tool Agent using OpenAPI yaml to automatically decide which API to call, generating url and body request from conversation",
|
||||
"framework": ["Langchain"],
|
||||
"usecases": ["Interacting with API"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 544,
|
||||
"id": "openApiChain_1",
|
||||
"position": {
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||||
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||||
"type": "customNode",
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||||
"data": {
|
||||
"id": "openApiChain_1",
|
||||
"label": "OpenAPI Chain",
|
||||
"version": 2,
|
||||
"name": "openApiChain",
|
||||
"type": "OpenAPIChain",
|
||||
"baseClasses": ["OpenAPIChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain that automatically select and call APIs based only on an OpenAPI spec",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "YAML Link",
|
||||
"name": "yamlLink",
|
||||
"type": "string",
|
||||
"placeholder": "https://api.speak.com/openapi.yaml",
|
||||
"description": "If YAML link is provided, uploaded YAML File will be ignored and YAML link will be used instead",
|
||||
"id": "openApiChain_1-input-yamlLink-string"
|
||||
},
|
||||
{
|
||||
"label": "YAML File",
|
||||
"name": "yamlFile",
|
||||
"type": "file",
|
||||
"fileType": ".yaml",
|
||||
"description": "If YAML link is provided, uploaded YAML File will be ignored and YAML link will be used instead",
|
||||
"id": "openApiChain_1-input-yamlFile-file"
|
||||
},
|
||||
{
|
||||
"label": "Headers",
|
||||
"name": "headers",
|
||||
"type": "json",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "openApiChain_1-input-headers-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "ChatOpenAI Model",
|
||||
"name": "model",
|
||||
"type": "ChatOpenAI",
|
||||
"id": "openApiChain_1-input-model-ChatOpenAI"
|
||||
},
|
||||
{
|
||||
"label": "Input Moderation",
|
||||
"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
|
||||
"name": "inputModeration",
|
||||
"type": "Moderation",
|
||||
"optional": true,
|
||||
"list": true,
|
||||
"id": "openApiChain_1-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"inputModeration": "",
|
||||
"model": "{{chatOpenAI_1.data.instance}}",
|
||||
"yamlLink": "https://gist.githubusercontent.com/HenryHengZJ/b60f416c42cb9bcd3160fe797421119a/raw/0ef05b3aaf142e0423f71c19dec866178487dc10/klarna.yml",
|
||||
"headers": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "openApiChain_1-output-openApiChain-OpenAPIChain|BaseChain",
|
||||
"name": "openApiChain",
|
||||
"label": "OpenAPIChain",
|
||||
"type": "OpenAPIChain | BaseChain"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1203.1825726424859,
|
||||
"y": 300.7226683414998
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 670,
|
||||
"id": "chatOpenAI_1",
|
||||
"position": {
|
||||
"x": 792.3201947594027,
|
||||
"y": 293.61889966751846
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||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_1",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 6,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "chatOpenAI_1-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "gpt-3.5-turbo",
|
||||
"id": "chatOpenAI_1-input-modelName-options"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_1-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-maxTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-frequencyPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-presencePenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-timeout-number"
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-baseOptions-json"
|
||||
},
|
||||
{
|
||||
"label": "Allow Image Uploads",
|
||||
"name": "allowImageUploads",
|
||||
"type": "boolean",
|
||||
"description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
|
||||
"default": false,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_1-input-allowImageUploads-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Image Resolution",
|
||||
"description": "This parameter controls the resolution in which the model views the image.",
|
||||
"name": "imageResolution",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Low",
|
||||
"name": "low"
|
||||
},
|
||||
{
|
||||
"label": "High",
|
||||
"name": "high"
|
||||
},
|
||||
{
|
||||
"label": "Auto",
|
||||
"name": "auto"
|
||||
}
|
||||
],
|
||||
"default": "low",
|
||||
"optional": false,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-imageResolution-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_1-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": true,
|
||||
"imageResolution": "low"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 792.3201947594027,
|
||||
"y": 293.61889966751846
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 603,
|
||||
"id": "chainTool_0",
|
||||
"position": {
|
||||
"x": 1635.3466862861876,
|
||||
"y": 272.3189405402944
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chainTool_0",
|
||||
"label": "Chain Tool",
|
||||
"version": 1,
|
||||
"name": "chainTool",
|
||||
"type": "ChainTool",
|
||||
"baseClasses": ["ChainTool", "DynamicTool", "Tool", "StructuredTool"],
|
||||
"category": "Tools",
|
||||
"description": "Use a chain as allowed tool for agent",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "state-of-union-qa",
|
||||
"id": "chainTool_0-input-name-string"
|
||||
},
|
||||
{
|
||||
"label": "Chain Description",
|
||||
"name": "description",
|
||||
"type": "string",
|
||||
"rows": 3,
|
||||
"placeholder": "State of the Union QA - useful for when you need to ask questions about the most recent state of the union address.",
|
||||
"id": "chainTool_0-input-description-string"
|
||||
},
|
||||
{
|
||||
"label": "Return Direct",
|
||||
"name": "returnDirect",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "chainTool_0-input-returnDirect-boolean"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Base Chain",
|
||||
"name": "baseChain",
|
||||
"type": "BaseChain",
|
||||
"id": "chainTool_0-input-baseChain-BaseChain"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"name": "shopping-qa",
|
||||
"description": "useful for when you need to search for e-commerce products like shirt, pants, dress, glasses, etc.",
|
||||
"returnDirect": false,
|
||||
"baseChain": "{{openApiChain_1.data.instance}}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chainTool_0-output-chainTool-ChainTool|DynamicTool|Tool|StructuredTool",
|
||||
"name": "chainTool",
|
||||
"label": "ChainTool",
|
||||
"type": "ChainTool | DynamicTool | Tool | StructuredTool"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1635.3466862861876,
|
||||
"y": 272.3189405402944
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 670,
|
||||
"id": "chatOpenAI_2",
|
||||
"position": {
|
||||
"x": 1566.5049234393214,
|
||||
"y": 920.3787183665902
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_2",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 6,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "chatOpenAI_2-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "gpt-3.5-turbo",
|
||||
"id": "chatOpenAI_2-input-modelName-options"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_2-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-maxTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-frequencyPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-presencePenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-timeout-number"
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-baseOptions-json"
|
||||
},
|
||||
{
|
||||
"label": "Allow Image Uploads",
|
||||
"name": "allowImageUploads",
|
||||
"type": "boolean",
|
||||
"description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
|
||||
"default": false,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_2-input-allowImageUploads-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Image Resolution",
|
||||
"description": "This parameter controls the resolution in which the model views the image.",
|
||||
"name": "imageResolution",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Low",
|
||||
"name": "low"
|
||||
},
|
||||
{
|
||||
"label": "High",
|
||||
"name": "high"
|
||||
},
|
||||
{
|
||||
"label": "Auto",
|
||||
"name": "auto"
|
||||
}
|
||||
],
|
||||
"default": "low",
|
||||
"optional": false,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_2-input-imageResolution-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_2-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": true,
|
||||
"imageResolution": "low"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1566.5049234393214,
|
||||
"y": 920.3787183665902
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 253,
|
||||
"id": "bufferMemory_0",
|
||||
"position": {
|
||||
"x": 1148.8461056155377,
|
||||
"y": 967.8215757228843
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "bufferMemory_0",
|
||||
"label": "Buffer Memory",
|
||||
"version": 2,
|
||||
"name": "bufferMemory",
|
||||
"type": "BufferMemory",
|
||||
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
|
||||
"category": "Memory",
|
||||
"description": "Retrieve chat messages stored in database",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Session Id",
|
||||
"name": "sessionId",
|
||||
"type": "string",
|
||||
"description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory#ui-and-embedded-chat\">more</a>",
|
||||
"default": "",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "bufferMemory_0-input-sessionId-string"
|
||||
},
|
||||
{
|
||||
"label": "Memory Key",
|
||||
"name": "memoryKey",
|
||||
"type": "string",
|
||||
"default": "chat_history",
|
||||
"additionalParams": true,
|
||||
"id": "bufferMemory_0-input-memoryKey-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"sessionId": "",
|
||||
"memoryKey": "chat_history"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
|
||||
"name": "bufferMemory",
|
||||
"label": "BufferMemory",
|
||||
"type": "BufferMemory | BaseChatMemory | BaseMemory"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 1148.8461056155377,
|
||||
"y": 967.8215757228843
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
{
|
||||
"id": "toolAgent_0",
|
||||
"position": {
|
||||
"x": 2054.7555242376347,
|
||||
"y": 710.4140533942601
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "toolAgent_0",
|
||||
"label": "Tool Agent",
|
||||
"version": 1,
|
||||
"name": "toolAgent",
|
||||
"type": "AgentExecutor",
|
||||
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
|
||||
"category": "Agents",
|
||||
"description": "Agent that uses Function Calling to pick the tools and args to call",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessage",
|
||||
"type": "string",
|
||||
"default": "You are a helpful AI assistant.",
|
||||
"rows": 4,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "toolAgent_0-input-systemMessage-string"
|
||||
},
|
||||
{
|
||||
"label": "Max Iterations",
|
||||
"name": "maxIterations",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "toolAgent_0-input-maxIterations-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Tools",
|
||||
"name": "tools",
|
||||
"type": "Tool",
|
||||
"list": true,
|
||||
"id": "toolAgent_0-input-tools-Tool"
|
||||
},
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "BaseChatMemory",
|
||||
"id": "toolAgent_0-input-memory-BaseChatMemory"
|
||||
},
|
||||
{
|
||||
"label": "Tool Calling Chat Model",
|
||||
"name": "model",
|
||||
"type": "BaseChatModel",
|
||||
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|
||||
"id": "toolAgent_0-input-model-BaseChatModel"
|
||||
},
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||||
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||||
"label": "Input Moderation",
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||||
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||||
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|
||||
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|
||||
"optional": true,
|
||||
"list": true,
|
||||
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|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"tools": ["{{chainTool_0.data.instance}}"],
|
||||
"memory": "{{bufferMemory_0.data.instance}}",
|
||||
"model": "{{chatOpenAI_2.data.instance}}",
|
||||
"systemMessage": "You are a helpful AI assistant.",
|
||||
"inputModeration": "",
|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
"id": "toolAgent_0-output-toolAgent-AgentExecutor|BaseChain|Runnable",
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||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
],
|
||||
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||||
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|
||||
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||||
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||||
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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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}
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"inputs": {
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"note": "Using agent, we give it a tool that is attached to an OpenAPI Chain.\n\nOpenAPI Chain uses a LLM to automatically figure out what is the correct URL and params to call given the YML spec file.\n\nResults are then fetched back to agent.\n\nExample question:\nI am looking for some blue tshirt, can u help me find some?"
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||||
},
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{
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"label": "StickyNote",
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],
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||||
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||||
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"source": "openApiChain_1",
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"sourceHandle": "openApiChain_1-output-openApiChain-OpenAPIChain|BaseChain",
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||||
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||||
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||||
"source": "chainTool_0",
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||||
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||||
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||||
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||||
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||||
},
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{
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||||
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||||
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||||
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||||
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|
||||
},
|
||||
{
|
||||
"source": "bufferMemory_0",
|
||||
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
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||||
"target": "toolAgent_0",
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||||
"targetHandle": "toolAgent_0-input-memory-BaseChatMemory",
|
||||
"type": "buttonedge",
|
||||
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-toolAgent_0-toolAgent_0-input-memory-BaseChatMemory"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,773 +0,0 @@
|
||||
{
|
||||
"description": "Conversational Agent with ability to visit a website and extract information",
|
||||
"usecases": ["Agent"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
{
|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"type": "BufferMemory",
|
||||
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
|
||||
"category": "Memory",
|
||||
"description": "Retrieve chat messages stored in database",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Session Id",
|
||||
"name": "sessionId",
|
||||
"type": "string",
|
||||
"description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory#ui-and-embedded-chat\">more</a>",
|
||||
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|
||||
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||||
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||||
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||||
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||||
{
|
||||
"label": "Memory Key",
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||||
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|
||||
"type": "string",
|
||||
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|
||||
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|
||||
"id": "bufferMemory_0-input-memoryKey-string"
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||||
}
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
"label": "BufferMemory",
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||||
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||||
}
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||||
],
|
||||
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||||
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||||
{
|
||||
"width": 300,
|
||||
"height": 281,
|
||||
"id": "webBrowser_0",
|
||||
"position": {
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||||
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||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "webBrowser_0",
|
||||
"label": "Web Browser",
|
||||
"version": 1,
|
||||
"name": "webBrowser",
|
||||
"type": "WebBrowser",
|
||||
"baseClasses": ["WebBrowser", "Tool", "StructuredTool", "BaseLangChain"],
|
||||
"category": "Tools",
|
||||
"description": "Gives agent the ability to visit a website and extract information",
|
||||
"inputParams": [],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "webBrowser_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "webBrowser_0-input-embeddings-Embeddings"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"embeddings": "{{openAIEmbeddings_0.data.instance}}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
|
||||
"name": "webBrowser",
|
||||
"label": "WebBrowser",
|
||||
"type": "WebBrowser | Tool | StructuredTool | BaseLangChain"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
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|
||||
"selected": false,
|
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||||
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||||
},
|
||||
{
|
||||
"width": 300,
|
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"height": 670,
|
||||
"id": "chatOpenAI_0",
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||||
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||||
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"id": "chatOpenAI_0",
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||||
"label": "ChatOpenAI",
|
||||
"version": 6,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "chatOpenAI_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "gpt-3.5-turbo",
|
||||
"id": "chatOpenAI_0-input-modelName-options"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-maxTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-frequencyPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-presencePenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-timeout-number"
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-baseOptions-json"
|
||||
},
|
||||
{
|
||||
"label": "Allow Image Uploads",
|
||||
"name": "allowImageUploads",
|
||||
"type": "boolean",
|
||||
"description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
|
||||
"default": false,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-allowImageUploads-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Image Resolution",
|
||||
"description": "This parameter controls the resolution in which the model views the image.",
|
||||
"name": "imageResolution",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Low",
|
||||
"name": "low"
|
||||
},
|
||||
{
|
||||
"label": "High",
|
||||
"name": "high"
|
||||
},
|
||||
{
|
||||
"label": "Auto",
|
||||
"name": "auto"
|
||||
}
|
||||
],
|
||||
"default": "low",
|
||||
"optional": false,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-imageResolution-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": true,
|
||||
"imageResolution": "low"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 741.9540879250319,
|
||||
"y": -534.6535148852278
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||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 424,
|
||||
"id": "openAIEmbeddings_0",
|
||||
"position": {
|
||||
"x": 403.72014625628697,
|
||||
"y": -103.82540449681527
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "openAIEmbeddings_0",
|
||||
"label": "OpenAI Embeddings",
|
||||
"version": 4,
|
||||
"name": "openAIEmbeddings",
|
||||
"type": "OpenAIEmbeddings",
|
||||
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
|
||||
"category": "Embeddings",
|
||||
"description": "OpenAI API to generate embeddings for a given text",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "openAIEmbeddings_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "text-embedding-ada-002",
|
||||
"id": "openAIEmbeddings_0-input-modelName-asyncOptions"
|
||||
},
|
||||
{
|
||||
"label": "Strip New Lines",
|
||||
"name": "stripNewLines",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Batch Size",
|
||||
"name": "batchSize",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "openAIEmbeddings_0-input-batchSize-number"
|
||||
},
|
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"name": "openAIEmbeddings",
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||||
"label": "OpenAIEmbeddings",
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||||
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||||
"type": "OpenAIEmbeddings | Embeddings"
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||||
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||||
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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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||||
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||||
"inputParams": [
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||||
{
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||||
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||||
"name": "credential",
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||||
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||||
"credentialNames": ["openAIApi"],
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||||
"id": "chatOpenAI_1-input-credential-credential"
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||||
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||||
{
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||||
"label": "Model Name",
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||||
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||||
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||||
"loadMethod": "listModels",
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||||
"default": "gpt-3.5-turbo",
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||||
"id": "chatOpenAI_1-input-modelName-options"
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||||
"label": "Temperature",
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||||
"name": "temperature",
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||||
"type": "number",
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||||
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||||
"optional": true,
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||||
"id": "chatOpenAI_1-input-temperature-number"
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"name": "frequencyPenalty",
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||||
"type": "number",
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||||
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||||
"additionalParams": true,
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||||
"id": "chatOpenAI_1-input-frequencyPenalty-number"
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||||
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||||
{
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||||
"label": "Presence Penalty",
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||||
"name": "presencePenalty",
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||||
"type": "number",
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||||
"optional": true,
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||||
"additionalParams": true,
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||||
"id": "chatOpenAI_1-input-presencePenalty-number"
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||||
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||||
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||||
"label": "Timeout",
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||||
"name": "timeout",
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||||
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||||
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||||
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||||
"id": "chatOpenAI_1-input-timeout-number"
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||||
},
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||||
{
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||||
"label": "BasePath",
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||||
"name": "basepath",
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||||
"type": "string",
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||||
"optional": true,
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||||
"additionalParams": true,
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||||
"id": "chatOpenAI_1-input-basepath-string"
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||||
},
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||||
{
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||||
"label": "BaseOptions",
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||||
"name": "baseOptions",
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||||
"type": "json",
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||||
"optional": true,
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||||
"additionalParams": true,
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||||
"id": "chatOpenAI_1-input-baseOptions-json"
|
||||
},
|
||||
{
|
||||
"label": "Allow Image Uploads",
|
||||
"name": "allowImageUploads",
|
||||
"type": "boolean",
|
||||
"description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
|
||||
"default": false,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_1-input-allowImageUploads-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Image Resolution",
|
||||
"description": "This parameter controls the resolution in which the model views the image.",
|
||||
"name": "imageResolution",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Low",
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||||
"name": "low"
|
||||
},
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||||
{
|
||||
"label": "High",
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||||
"name": "high"
|
||||
},
|
||||
{
|
||||
"label": "Auto",
|
||||
"name": "auto"
|
||||
}
|
||||
],
|
||||
"default": "low",
|
||||
"optional": false,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_1-input-imageResolution-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
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||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_1-input-cache-BaseCache"
|
||||
}
|
||||
],
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||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo-16k",
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||||
"temperature": 0.9,
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||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"baseOptions": "",
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||||
"allowImageUploads": true,
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||||
"imageResolution": "low"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
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||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 68.312124033115,
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||||
},
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||||
"dragging": false
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||||
},
|
||||
{
|
||||
"width": 300,
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||||
"height": 435,
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||||
"id": "conversationalAgent_0",
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||||
"position": {
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"y": 212.2513364217197
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},
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||||
"type": "customNode",
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||||
"data": {
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||||
"id": "conversationalAgent_0",
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||||
"label": "Conversational Agent",
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||||
"version": 3,
|
||||
"name": "conversationalAgent",
|
||||
"type": "AgentExecutor",
|
||||
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
|
||||
"category": "Agents",
|
||||
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"default": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "conversationalAgent_0-input-systemMessage-string"
|
||||
},
|
||||
{
|
||||
"label": "Max Iterations",
|
||||
"name": "maxIterations",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "conversationalAgent_0-input-maxIterations-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Allowed Tools",
|
||||
"name": "tools",
|
||||
"type": "Tool",
|
||||
"list": true,
|
||||
"id": "conversationalAgent_0-input-tools-Tool"
|
||||
},
|
||||
{
|
||||
"label": "Chat Model",
|
||||
"name": "model",
|
||||
"type": "BaseChatModel",
|
||||
"id": "conversationalAgent_0-input-model-BaseChatModel"
|
||||
},
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "BaseChatMemory",
|
||||
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
|
||||
},
|
||||
{
|
||||
"label": "Input Moderation",
|
||||
"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
|
||||
"name": "inputModeration",
|
||||
"type": "Moderation",
|
||||
"optional": true,
|
||||
"list": true,
|
||||
"id": "conversationalAgent_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"inputModeration": "",
|
||||
"tools": ["{{webBrowser_0.data.instance}}"],
|
||||
"model": "{{chatOpenAI_1.data.instance}}",
|
||||
"memory": "{{bufferMemory_0.data.instance}}",
|
||||
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|Runnable",
|
||||
"name": "conversationalAgent",
|
||||
"label": "AgentExecutor",
|
||||
"type": "AgentExecutor | BaseChain | Runnable"
|
||||
}
|
||||
],
|
||||
"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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||||
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||||
"dragging": false
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||||
},
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||||
{
|
||||
"id": "stickyNote_0",
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||||
"position": {
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||||
"x": 1086.284843942572,
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||||
"y": -110.93321070573408
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||||
},
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||||
"type": "stickyNote",
|
||||
"data": {
|
||||
"id": "stickyNote_0",
|
||||
"label": "Sticky Note",
|
||||
"version": 2,
|
||||
"name": "stickyNote",
|
||||
"type": "StickyNote",
|
||||
"baseClasses": ["StickyNote"],
|
||||
"tags": ["Utilities"],
|
||||
"category": "Utilities",
|
||||
"description": "Add a sticky note",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "",
|
||||
"name": "note",
|
||||
"type": "string",
|
||||
"rows": 1,
|
||||
"placeholder": "Type something here",
|
||||
"optional": true,
|
||||
"id": "stickyNote_0-input-note-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "Web Browser Tool gives agent the ability to visit a website and extract information"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "stickyNote_0-output-stickyNote-StickyNote",
|
||||
"name": "stickyNote",
|
||||
"label": "StickyNote",
|
||||
"description": "Add a sticky note",
|
||||
"type": "StickyNote"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 62,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
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||||
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||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "openAIEmbeddings_0",
|
||||
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|
||||
"target": "webBrowser_0",
|
||||
"targetHandle": "webBrowser_0-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-webBrowser_0-webBrowser_0-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "webBrowser_0",
|
||||
"targetHandle": "webBrowser_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-webBrowser_0-webBrowser_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "webBrowser_0",
|
||||
"sourceHandle": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
|
||||
"target": "conversationalAgent_0",
|
||||
"targetHandle": "conversationalAgent_0-input-tools-Tool",
|
||||
"type": "buttonedge",
|
||||
"id": "webBrowser_0-webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain-conversationalAgent_0-conversationalAgent_0-input-tools-Tool",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_1",
|
||||
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "conversationalAgent_0",
|
||||
"targetHandle": "conversationalAgent_0-input-model-BaseChatModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseChatModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "bufferMemory_0",
|
||||
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
|
||||
"target": "conversationalAgent_0",
|
||||
"targetHandle": "conversationalAgent_0-input-memory-BaseChatMemory",
|
||||
"type": "buttonedge",
|
||||
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationalAgent_0-conversationalAgent_0-input-memory-BaseChatMemory",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user