mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 07:01:04 +03:00
Chore/Update issue templates and add new tools (#4687)
* Enhancement: Update issue templates and add new tools - Updated bug report template to include a default label of 'bug'. - Updated feature request template to include a default label of 'enhancement'. - Added new credential class for Agentflow API. - Enhanced Agent and HTTP nodes to improve tool management and error handling. - Added deprecation badges to several agent and chain classes. - Introduced new tools for handling requests (GET, POST, DELETE, PUT) with improved error handling. - Added new chatflows and agentflows for various use cases, including document QnA and translation. - Updated UI components for better handling of agent flows and marketplace interactions. - Refactored utility functions for improved functionality and clarity. * Refactor: Remove beta badge and streamline template title assignment - Removed the 'BETA' badge from the ExtractMetadataRetriever class. - Simplified the title assignment in the agentflowv2 generator by using a variable instead of inline string manipulation.
This commit is contained in:
Henry Heng
+1
-1
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"description": "An agent based approach using AgentflowV2 to perform self-correcting question answering over documents",
|
||||
"usecases": ["Reflective Agent"],
|
||||
"usecases": ["Reflective Agent", "Documents QnA"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
+67
-67
@@ -1,13 +1,13 @@
|
||||
{
|
||||
"description": "An agent capable of performing research, synthesizing information, and generating in-depth, well-structured white papers on any given topic",
|
||||
"usecases": ["Agent"],
|
||||
"description": "Deep research system that conducts multi-turn agent conversations to perform web search, synthesize insights and generate well-structured white papers",
|
||||
"usecases": ["Deep Research"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": -275.0799323960054,
|
||||
"y": 31.301887150099603
|
||||
"x": -397.64170181617976,
|
||||
"y": 87.52288229696859
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
@@ -188,19 +188,19 @@
|
||||
"selected": false
|
||||
},
|
||||
"width": 103,
|
||||
"height": 65,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -275.0799323960054,
|
||||
"y": 31.301887150099603
|
||||
"x": -397.64170181617976,
|
||||
"y": 87.52288229696859
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "llmAgentflow_0",
|
||||
"position": {
|
||||
"x": -59.13383952997965,
|
||||
"y": 28.495983624910906
|
||||
"x": -242.41428370877253,
|
||||
"y": 85.84139867471725
|
||||
},
|
||||
"data": {
|
||||
"id": "llmAgentflow_0",
|
||||
@@ -513,19 +513,19 @@
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 175,
|
||||
"height": 71,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -59.13383952997965,
|
||||
"y": 28.495983624910906
|
||||
"x": -242.41428370877253,
|
||||
"y": 85.84139867471725
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "agentAgentflow_0",
|
||||
"position": {
|
||||
"x": 209.99147630894493,
|
||||
"y": 100.7933285478893
|
||||
"x": -26.136703307904796,
|
||||
"y": 72.89650466398558
|
||||
},
|
||||
"data": {
|
||||
"id": "agentAgentflow_0",
|
||||
@@ -824,13 +824,6 @@
|
||||
}
|
||||
],
|
||||
"agentTools": [
|
||||
{
|
||||
"agentSelectedTool": "braveSearchAPI",
|
||||
"agentSelectedToolRequiresHumanInput": "",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "braveSearchAPI"
|
||||
}
|
||||
},
|
||||
{
|
||||
"agentSelectedTool": "webScraperTool",
|
||||
"agentSelectedToolRequiresHumanInput": "",
|
||||
@@ -842,6 +835,13 @@
|
||||
"description": "",
|
||||
"agentSelectedTool": "webScraperTool"
|
||||
}
|
||||
},
|
||||
{
|
||||
"agentSelectedTool": "braveSearchAPI",
|
||||
"agentSelectedToolRequiresHumanInput": "",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "braveSearchAPI"
|
||||
}
|
||||
}
|
||||
],
|
||||
"agentKnowledgeDocumentStores": "",
|
||||
@@ -879,20 +879,20 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 199,
|
||||
"height": 103,
|
||||
"width": 200,
|
||||
"height": 100,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 209.99147630894493,
|
||||
"y": 100.7933285478893
|
||||
"x": -26.136703307904796,
|
||||
"y": 72.89650466398558
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "agentAgentflow_1",
|
||||
"position": {
|
||||
"x": 203.50865583557328,
|
||||
"y": -75.13070214403373
|
||||
"x": 210.25517525319754,
|
||||
"y": 73.29272504370039
|
||||
},
|
||||
"data": {
|
||||
"id": "agentAgentflow_1",
|
||||
@@ -1191,13 +1191,6 @@
|
||||
}
|
||||
],
|
||||
"agentTools": [
|
||||
{
|
||||
"agentSelectedTool": "braveSearchAPI",
|
||||
"agentSelectedToolRequiresHumanInput": "",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "braveSearchAPI"
|
||||
}
|
||||
},
|
||||
{
|
||||
"agentSelectedTool": "webScraperTool",
|
||||
"agentSelectedToolRequiresHumanInput": "",
|
||||
@@ -1209,6 +1202,13 @@
|
||||
"description": "",
|
||||
"agentSelectedTool": "webScraperTool"
|
||||
}
|
||||
},
|
||||
{
|
||||
"agentSelectedTool": "braveSearchAPI",
|
||||
"agentSelectedToolRequiresHumanInput": "",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "braveSearchAPI"
|
||||
}
|
||||
}
|
||||
],
|
||||
"agentKnowledgeDocumentStores": "",
|
||||
@@ -1246,24 +1246,24 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 199,
|
||||
"height": 103,
|
||||
"width": 200,
|
||||
"height": 100,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 203.50865583557328,
|
||||
"y": -75.13070214403373
|
||||
"x": 210.25517525319754,
|
||||
"y": 73.29272504370039
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "conditionAgentflow_0",
|
||||
"position": {
|
||||
"x": 497.07879661792845,
|
||||
"y": 29.068421396935392
|
||||
"x": 457.0277025649177,
|
||||
"y": 83.6060813840138
|
||||
},
|
||||
"data": {
|
||||
"id": "conditionAgentflow_0",
|
||||
"label": "Condition",
|
||||
"label": "Check Iterations",
|
||||
"version": 1,
|
||||
"name": "conditionAgentflow",
|
||||
"type": "Condition",
|
||||
@@ -1520,24 +1520,24 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 134,
|
||||
"width": 178,
|
||||
"height": 80,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 497.07879661792845,
|
||||
"y": 29.068421396935392
|
||||
"x": 457.0277025649177,
|
||||
"y": 83.6060813840138
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "loopAgentflow_0",
|
||||
"position": {
|
||||
"x": 710.6354115635097,
|
||||
"y": -61.015932400168076
|
||||
"x": 690.1837890683553,
|
||||
"y": 22.494859455045713
|
||||
},
|
||||
"data": {
|
||||
"id": "loopAgentflow_0",
|
||||
"label": "Loop",
|
||||
"label": "Loop Back to Agent 0",
|
||||
"version": 1,
|
||||
"name": "loopAgentflow",
|
||||
"type": "Loop",
|
||||
@@ -1575,13 +1575,13 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 104,
|
||||
"height": 65,
|
||||
"width": 211,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 710.6354115635097,
|
||||
"y": -61.015932400168076
|
||||
"x": 690.1837890683553,
|
||||
"y": 22.494859455045713
|
||||
}
|
||||
},
|
||||
{
|
||||
@@ -1900,8 +1900,8 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 199,
|
||||
"height": 71,
|
||||
"width": 200,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 693.0529196789191,
|
||||
@@ -1912,8 +1912,8 @@
|
||||
{
|
||||
"id": "stickyNoteAgentflow_0",
|
||||
"position": {
|
||||
"x": -320.62033146052283,
|
||||
"y": -110.15285265313359
|
||||
"x": -445.43094068657194,
|
||||
"y": -61.80279682682627
|
||||
},
|
||||
"data": {
|
||||
"id": "stickyNoteAgentflow_0",
|
||||
@@ -1952,20 +1952,20 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "stickyNote",
|
||||
"width": 203,
|
||||
"height": 122,
|
||||
"width": 210,
|
||||
"height": 123,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -320.62033146052283,
|
||||
"y": -110.15285265313359
|
||||
"x": -445.43094068657194,
|
||||
"y": -61.80279682682627
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "stickyNoteAgentflow_1",
|
||||
"position": {
|
||||
"x": 466.8306744858025,
|
||||
"y": -189.9009582021492
|
||||
"x": 454.90056136362915,
|
||||
"y": -146.44126039994615
|
||||
},
|
||||
"data": {
|
||||
"id": "stickyNoteAgentflow_1",
|
||||
@@ -2004,12 +2004,12 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "stickyNote",
|
||||
"width": 203,
|
||||
"height": 202,
|
||||
"width": 210,
|
||||
"height": 203,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 466.8306744858025,
|
||||
"y": -189.9009582021492
|
||||
"x": 454.90056136362915,
|
||||
"y": -146.44126039994615
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
@@ -2056,8 +2056,8 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "stickyNote",
|
||||
"width": 203,
|
||||
"height": 283,
|
||||
"width": 210,
|
||||
"height": 263,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 693.7511120802441,
|
||||
File diff suppressed because one or more lines are too long
+553
-760
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
+56
-284
@@ -1,13 +1,13 @@
|
||||
{
|
||||
"description": "An email reply HITL (human in the loop) agent that can proceed or refine the email with user input",
|
||||
"usecases": ["Human In Loop"],
|
||||
"description": "A basic RAG agent that can retrieve documents from document store and answer questions",
|
||||
"usecases": ["Documents QnA"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": -212.0817769699585,
|
||||
"y": 95.2304753249555
|
||||
"x": 64,
|
||||
"y": 98.5
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
@@ -133,7 +133,9 @@
|
||||
"name": "startEphemeralMemory",
|
||||
"type": "boolean",
|
||||
"description": "Start fresh for every execution without past chat history",
|
||||
"optional": true
|
||||
"optional": true,
|
||||
"id": "startAgentflow_0-input-startEphemeralMemory-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Flow State",
|
||||
@@ -152,7 +154,8 @@
|
||||
"label": "Value",
|
||||
"name": "value",
|
||||
"type": "string",
|
||||
"placeholder": "Bar"
|
||||
"placeholder": "Bar",
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-startState-array",
|
||||
@@ -174,7 +177,9 @@
|
||||
"formTitle": "",
|
||||
"formDescription": "",
|
||||
"formInputTypes": "",
|
||||
"startState": ""
|
||||
"startEphemeralMemory": "",
|
||||
"startState": "",
|
||||
"startPersistState": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
@@ -186,24 +191,24 @@
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 101,
|
||||
"height": 65,
|
||||
"selected": false,
|
||||
"width": 103,
|
||||
"height": 66,
|
||||
"positionAbsolute": {
|
||||
"x": -212.0817769699585,
|
||||
"y": 95.2304753249555
|
||||
"x": 64,
|
||||
"y": 98.5
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "agentAgentflow_0",
|
||||
"position": {
|
||||
"x": -62.25,
|
||||
"y": 76
|
||||
"x": 216.75,
|
||||
"y": 96.5
|
||||
},
|
||||
"data": {
|
||||
"id": "agentAgentflow_0",
|
||||
"label": "Email Reply Agent",
|
||||
"label": "QnA",
|
||||
"version": 1,
|
||||
"name": "agentAgentflow",
|
||||
"type": "Agent",
|
||||
@@ -494,24 +499,18 @@
|
||||
"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>"
|
||||
"content": "<p>You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.</p><p>If there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.</p>"
|
||||
}
|
||||
],
|
||||
"agentTools": [
|
||||
"agentTools": "",
|
||||
"agentKnowledgeDocumentStores": [
|
||||
{
|
||||
"agentSelectedTool": "googleCustomSearch",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "googleCustomSearch"
|
||||
}
|
||||
},
|
||||
{
|
||||
"agentSelectedTool": "currentDateTime",
|
||||
"agentSelectedToolConfig": {
|
||||
"agentSelectedTool": "currentDateTime"
|
||||
}
|
||||
"documentStore": "25429b8f-0377-4762-9cda-0d5366cf022c:AI-Paper",
|
||||
"docStoreDescription": "This paper provides an extensive overview of artificial intelligence-generated content (AIGC), including its definition, capabilities, applications, challenges, and future directions, serving as a valuable resource for researchers and industry professionals to understand and harness AIGC's potential.",
|
||||
"returnSourceDocuments": true
|
||||
}
|
||||
],
|
||||
"agentKnowledgeDocumentStores": "",
|
||||
"agentKnowledgeVSEmbeddings": "",
|
||||
"agentEnableMemory": true,
|
||||
"agentMemoryType": "allMessages",
|
||||
"agentUserMessage": "",
|
||||
@@ -549,250 +548,64 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 182,
|
||||
"height": 103,
|
||||
"width": 175,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -62.25,
|
||||
"y": 76
|
||||
"x": 216.75,
|
||||
"y": 96.5
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "humanInputAgentflow_0",
|
||||
"id": "stickyNoteAgentflow_0",
|
||||
"position": {
|
||||
"x": 156.05666363734434,
|
||||
"y": 86.62266545493773
|
||||
"x": 209.875,
|
||||
"y": -61.25
|
||||
},
|
||||
"data": {
|
||||
"id": "humanInputAgentflow_0",
|
||||
"label": "Human Input 0",
|
||||
"id": "stickyNoteAgentflow_0",
|
||||
"label": "Sticky Note",
|
||||
"version": 1,
|
||||
"name": "humanInputAgentflow",
|
||||
"type": "HumanInput",
|
||||
"color": "#6E6EFD",
|
||||
"baseClasses": ["HumanInput"],
|
||||
"name": "stickyNoteAgentflow",
|
||||
"type": "StickyNote",
|
||||
"color": "#fee440",
|
||||
"baseClasses": ["StickyNote"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Request human input, approval or rejection during execution",
|
||||
"description": "Add notes to the agent flow",
|
||||
"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",
|
||||
"label": "",
|
||||
"name": "note",
|
||||
"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",
|
||||
"rows": 1,
|
||||
"placeholder": "Type something here",
|
||||
"optional": true,
|
||||
"id": "stickyNoteAgentflow_0-input-note-string",
|
||||
"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>"
|
||||
"note": "Agent can retrieve documents from upserted document store, and directly from vector database"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "humanInputAgentflow_0-output-0",
|
||||
"label": "Human Input",
|
||||
"name": "humanInputAgentflow"
|
||||
},
|
||||
{
|
||||
"id": "humanInputAgentflow_0-output-1",
|
||||
"label": "Human Input",
|
||||
"name": "humanInputAgentflow"
|
||||
"id": "stickyNoteAgentflow_0-output-stickyNoteAgentflow",
|
||||
"label": "Sticky Note",
|
||||
"name": "stickyNoteAgentflow"
|
||||
}
|
||||
],
|
||||
"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,
|
||||
"type": "stickyNote",
|
||||
"width": 210,
|
||||
"height": 143,
|
||||
"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
|
||||
"x": 209.875,
|
||||
"y": -61.25
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
@@ -810,47 +623,6 @@
|
||||
},
|
||||
"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"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,549 @@
|
||||
{
|
||||
"description": "Return structured output from LLM",
|
||||
"usecases": ["Extraction"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": 64,
|
||||
"y": 98.5
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
"label": "Start",
|
||||
"version": 1.1,
|
||||
"name": "startAgentflow",
|
||||
"type": "Start",
|
||||
"color": "#7EE787",
|
||||
"hideInput": true,
|
||||
"baseClasses": ["Start"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Starting point of the agentflow",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Input Type",
|
||||
"name": "startInputType",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Chat Input",
|
||||
"name": "chatInput",
|
||||
"description": "Start the conversation with chat input"
|
||||
},
|
||||
{
|
||||
"label": "Form Input",
|
||||
"name": "formInput",
|
||||
"description": "Start the workflow with form inputs"
|
||||
}
|
||||
],
|
||||
"default": "chatInput",
|
||||
"id": "startAgentflow_0-input-startInputType-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Form Title",
|
||||
"name": "formTitle",
|
||||
"type": "string",
|
||||
"placeholder": "Please Fill Out The Form",
|
||||
"show": {
|
||||
"startInputType": "formInput"
|
||||
},
|
||||
"id": "startAgentflow_0-input-formTitle-string",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Form Description",
|
||||
"name": "formDescription",
|
||||
"type": "string",
|
||||
"placeholder": "Complete all fields below to continue",
|
||||
"show": {
|
||||
"startInputType": "formInput"
|
||||
},
|
||||
"id": "startAgentflow_0-input-formDescription-string",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Form Input Types",
|
||||
"name": "formInputTypes",
|
||||
"description": "Specify the type of form input",
|
||||
"type": "array",
|
||||
"show": {
|
||||
"startInputType": "formInput"
|
||||
},
|
||||
"array": [
|
||||
{
|
||||
"label": "Type",
|
||||
"name": "type",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "String",
|
||||
"name": "string"
|
||||
},
|
||||
{
|
||||
"label": "Number",
|
||||
"name": "number"
|
||||
},
|
||||
{
|
||||
"label": "Boolean",
|
||||
"name": "boolean"
|
||||
},
|
||||
{
|
||||
"label": "Options",
|
||||
"name": "options"
|
||||
}
|
||||
],
|
||||
"default": "string"
|
||||
},
|
||||
{
|
||||
"label": "Label",
|
||||
"name": "label",
|
||||
"type": "string",
|
||||
"placeholder": "Label for the input"
|
||||
},
|
||||
{
|
||||
"label": "Variable Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "Variable name for the input (must be camel case)",
|
||||
"description": "Variable name must be camel case. For example: firstName, lastName, etc."
|
||||
},
|
||||
{
|
||||
"label": "Add Options",
|
||||
"name": "addOptions",
|
||||
"type": "array",
|
||||
"show": {
|
||||
"formInputTypes[$index].type": "options"
|
||||
},
|
||||
"array": [
|
||||
{
|
||||
"label": "Option",
|
||||
"name": "option",
|
||||
"type": "string"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-formInputTypes-array",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Ephemeral Memory",
|
||||
"name": "startEphemeralMemory",
|
||||
"type": "boolean",
|
||||
"description": "Start fresh for every execution without past chat history",
|
||||
"optional": true,
|
||||
"id": "startAgentflow_0-input-startEphemeralMemory-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Flow State",
|
||||
"name": "startState",
|
||||
"description": "Runtime state during the execution of the workflow",
|
||||
"type": "array",
|
||||
"optional": true,
|
||||
"array": [
|
||||
{
|
||||
"label": "Key",
|
||||
"name": "key",
|
||||
"type": "string",
|
||||
"placeholder": "Foo"
|
||||
},
|
||||
{
|
||||
"label": "Value",
|
||||
"name": "value",
|
||||
"type": "string",
|
||||
"placeholder": "Bar",
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-startState-array",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Persist State",
|
||||
"name": "startPersistState",
|
||||
"type": "boolean",
|
||||
"description": "Persist the state in the same session",
|
||||
"optional": true,
|
||||
"id": "startAgentflow_0-input-startPersistState-boolean",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"startInputType": "chatInput",
|
||||
"formTitle": "",
|
||||
"formDescription": "",
|
||||
"formInputTypes": "",
|
||||
"startEphemeralMemory": "",
|
||||
"startState": "",
|
||||
"startPersistState": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "startAgentflow_0-output-startAgentflow",
|
||||
"label": "Start",
|
||||
"name": "startAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 103,
|
||||
"height": 66,
|
||||
"positionAbsolute": {
|
||||
"x": 64,
|
||||
"y": 98.5
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "llmAgentflow_0",
|
||||
"position": {
|
||||
"x": 234.5,
|
||||
"y": 95.75
|
||||
},
|
||||
"data": {
|
||||
"id": "llmAgentflow_0",
|
||||
"label": "Strutured Output",
|
||||
"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": false
|
||||
},
|
||||
{
|
||||
"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": false
|
||||
},
|
||||
{
|
||||
"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": "chatAnthropic",
|
||||
"llmMessages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "<p>Given user query, return result only in JSON format, without exception.</p><p>When asked to self-correct, output only the corrected JSON and no other text.</p>"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p>"
|
||||
}
|
||||
],
|
||||
"llmEnableMemory": false,
|
||||
"llmReturnResponseAs": "userMessage",
|
||||
"llmStructuredOutput": [
|
||||
{
|
||||
"key": "output",
|
||||
"type": "jsonArray",
|
||||
"enumValues": "",
|
||||
"jsonSchema": "{\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}",
|
||||
"description": "answer and its reason to the question"
|
||||
}
|
||||
],
|
||||
"llmUpdateState": "",
|
||||
"llmModelConfig": {
|
||||
"credential": "",
|
||||
"modelName": "claude-sonnet-4-0",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokensToSample": "",
|
||||
"topP": "",
|
||||
"topK": "",
|
||||
"extendedThinking": "",
|
||||
"budgetTokens": 1024,
|
||||
"allowImageUploads": "",
|
||||
"llmModel": "chatAnthropic"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "llmAgentflow_0-output-llmAgentflow",
|
||||
"label": "LLM",
|
||||
"name": "llmAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 213,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 234.5,
|
||||
"y": 95.75
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "startAgentflow_0",
|
||||
"sourceHandle": "startAgentflow_0-output-startAgentflow",
|
||||
"target": "llmAgentflow_0",
|
||||
"targetHandle": "llmAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#7EE787",
|
||||
"targetColor": "#64B5F6",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-llmAgentflow_0-llmAgentflow_0"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -6,8 +6,8 @@
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": -234.25083179589828,
|
||||
"y": 89.8928676312403
|
||||
"x": -198.4357561998925,
|
||||
"y": 90.62378754136287
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
@@ -195,12 +195,12 @@
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 101,
|
||||
"height": 65,
|
||||
"width": 103,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -234.25083179589828,
|
||||
"y": 89.8928676312403
|
||||
"x": -198.4357561998925,
|
||||
"y": 90.62378754136287
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
@@ -483,7 +483,7 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 184,
|
||||
"width": 194,
|
||||
"height": 100,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
@@ -787,11 +787,11 @@
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"agentModel": "azureChatOpenAI",
|
||||
"agentModel": "chatOpenAI",
|
||||
"agentMessages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "<p>As a Senior Software Engineer, you are a pivotal part of our innovative development team. Your expertise and leadership drive the creation of robust, scalable software solutions that meet the needs of our diverse clientele. By applying best practices in software development, you ensure that our products are reliable, efficient, and maintainable.</p><p>Your goal is to lead the development of high-quality software solutions.</p><p>Utilize your deep technical knowledge and experience to architect, design, and implement software systems that address complex problems. Collaborate closely with other engineers, reviewers to ensure that the solutions you develop align with business objectives and user needs.</p><p>Design and implement new feature for the given task, ensuring it integrates seamlessly with existing systems and meets performance requirements. Use your understanding of {technology} to build this feature. Make sure to adhere to our coding standards and follow best practices.</p><p>The output should be a fully functional, well-documented feature that enhances our product's capabilities. Include detailed comments in the code. Pass the code to Quality Assurance Engineer for review if neccessary. Once ther review is good enough, produce a finalized version of the code.</p>"
|
||||
"content": "<p>As a Senior Software Engineer, you are a pivotal part of our innovative development team. Your expertise and leadership drive the creation of robust, scalable software solutions that meet the needs of our diverse clientele. By applying best practices in software development, you ensure that our products are reliable, efficient, and maintainable.</p><p>Your goal is to lead the development of high-quality software solutions.</p><p>Utilize your deep technical knowledge and experience to architect, design, and implement software systems that address complex problems. Collaborate closely with other engineers, reviewers to ensure that the solutions you develop align with business objectives and user needs.</p><p>Design and implement new feature for the given task, ensuring it integrates seamlessly with existing systems and meets performance requirements. Use your understanding of React, Tailwindcss, NodeJS to build this feature. Make sure to adhere to our coding standards and follow best practices.</p><p>The output should be a fully functional, well-documented feature that enhances our product's capabilities. Include detailed comments in the code.</p>"
|
||||
}
|
||||
],
|
||||
"agentTools": "",
|
||||
@@ -803,20 +803,23 @@
|
||||
"agentUpdateState": "",
|
||||
"agentModelConfig": {
|
||||
"credential": "",
|
||||
"modelName": "gpt-4.1",
|
||||
"modelName": "gpt-4o-mini",
|
||||
"temperature": 0.9,
|
||||
"maxTokens": "",
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"strictToolCalling": "",
|
||||
"stopSequence": "",
|
||||
"basepath": "",
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": "",
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium",
|
||||
"agentModel": "azureChatOpenAI"
|
||||
"agentModel": "chatOpenAI"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
@@ -830,8 +833,8 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 183,
|
||||
"height": 71,
|
||||
"width": 191,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 352.5679347768288,
|
||||
@@ -842,8 +845,8 @@
|
||||
{
|
||||
"id": "agentAgentflow_2",
|
||||
"position": {
|
||||
"x": 358.5981605238689,
|
||||
"y": 87.38558154725587
|
||||
"x": 359.32908043399146,
|
||||
"y": 88.11650145737843
|
||||
},
|
||||
"data": {
|
||||
"id": "agentAgentflow_2",
|
||||
@@ -1134,11 +1137,11 @@
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"agentModel": "chatDeepseek",
|
||||
"agentModel": "chatOpenAI",
|
||||
"agentMessages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "<p>As a Quality Assurance Engineer, you are an integral part of our development team, ensuring that our software products are of the highest quality. Your meticulous attention to detail and expertise in testing methodologies are crucial in identifying defects and ensuring that our code meets the highest standards.</p><p>Your goal is to ensure the delivery of high-quality software through thorough code review and testing.</p><p>Review the codebase for the new feature designed and implemented by the Senior Software Engineer. Your expertise goes beyond mere code inspection; you are adept at ensuring that developments not only function as intended but also adhere to the team's coding standards, enhance maintainability, and seamlessly integrate with existing systems.</p><p>With a deep appreciation for collaborative development, you provide constructive feedback, guiding contributors towards best practices and fostering a culture of continuous improvement. Your meticulous approach to reviewing code, coupled with your ability to foresee potential issues and recommend proactive solutions, ensures the delivery of high-quality software that is robust, scalable, and aligned with the team's strategic goals.</p><p>Always pass back the review and feedback to Senior Software Engineer.</p>"
|
||||
"content": "<p>As a Quality Assurance Engineer, you are an integral part of our development team, ensuring that our software products are of the highest quality. Your meticulous attention to detail and expertise in testing methodologies are crucial in identifying defects and ensuring that our code meets the highest standards.</p><p>Your goal is to ensure the delivery of high-quality software through thorough code review and testing.</p><p>Review the codebase for the new feature designed and implemented by the Senior Software Engineer. Your expertise goes beyond mere code inspection; you are adept at ensuring that developments not only function as intended but also adhere to the team's coding standards, enhance maintainability, and seamlessly integrate with existing systems.</p><p>With a deep appreciation for collaborative development, you provide constructive feedback, guiding contributors towards best practices and fostering a culture of continuous improvement. Your meticulous approach to reviewing code, coupled with your ability to foresee potential issues and recommend proactive solutions, ensures the delivery of high-quality software that is robust, scalable, and aligned with the team's strategic goals.</p>"
|
||||
}
|
||||
],
|
||||
"agentTools": "",
|
||||
@@ -1150,17 +1153,23 @@
|
||||
"agentUpdateState": "",
|
||||
"agentModelConfig": {
|
||||
"credential": "",
|
||||
"modelName": "deepseek-reasoner",
|
||||
"temperature": 0.7,
|
||||
"modelName": "gpt-4o-mini",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"strictToolCalling": "",
|
||||
"stopSequence": "",
|
||||
"basepath": "",
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"agentModel": "chatDeepseek"
|
||||
"allowImageUploads": "",
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium",
|
||||
"agentModel": "chatOpenAI"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
@@ -1174,12 +1183,12 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 206,
|
||||
"height": 71,
|
||||
"width": 175,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 358.5981605238689,
|
||||
"y": 87.38558154725587
|
||||
"x": 359.32908043399146,
|
||||
"y": 88.11650145737843
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
@@ -1478,27 +1487,29 @@
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"agentModel": "chatAnthropic",
|
||||
"agentModel": "chatGoogleGenerativeAI",
|
||||
"agentMessages": "",
|
||||
"agentTools": "",
|
||||
"agentKnowledgeDocumentStores": "",
|
||||
"agentEnableMemory": true,
|
||||
"agentMemoryType": "allMessages",
|
||||
"agentUserMessage": "<p>Given the above conversations, generate a detail solution developed by the software engineer and code reviewer. Include full code, improvements and review.</p>",
|
||||
"agentUserMessage": "<p>Given the above conversations, generate a detail solution developed by the software engineer and code reviewer. </p><p>Your guiding principles:</p><ol><li><p><strong>Preserve Full Context</strong><br>Include all code implementations, improvements and review from the conversation. Do not omit, summarize, or oversimplify key information.</p></li><li><p><strong>Markdown Output Only</strong><br>Your final output must be in Markdown format.</p></li></ol>",
|
||||
"agentReturnResponseAs": "userMessage",
|
||||
"agentUpdateState": "",
|
||||
"agentModelConfig": {
|
||||
"credential": "",
|
||||
"modelName": "claude-3-7-sonnet-latest",
|
||||
"modelName": "gemini-2.5-flash-preview-05-20",
|
||||
"customModelName": "",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokensToSample": "",
|
||||
"maxOutputTokens": "",
|
||||
"topP": "",
|
||||
"topK": "",
|
||||
"extendedThinking": "",
|
||||
"budgetTokens": 1024,
|
||||
"harmCategory": "",
|
||||
"harmBlockThreshold": "",
|
||||
"baseUrl": "",
|
||||
"allowImageUploads": "",
|
||||
"agentModel": "chatAnthropic"
|
||||
"agentModel": "chatGoogleGenerativeAI"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
@@ -1512,8 +1523,8 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 231,
|
||||
"height": 71,
|
||||
"width": 283,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 357.60470406099364,
|
||||
@@ -1524,8 +1535,8 @@
|
||||
{
|
||||
"id": "loopAgentflow_0",
|
||||
"position": {
|
||||
"x": 574.050701666824,
|
||||
"y": -20.0960840521807
|
||||
"x": 572.5888618465789,
|
||||
"y": -20.827003962303266
|
||||
},
|
||||
"data": {
|
||||
"id": "loopAgentflow_0",
|
||||
@@ -1567,20 +1578,20 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 186,
|
||||
"height": 65,
|
||||
"width": 195,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 574.050701666824,
|
||||
"y": -20.0960840521807
|
||||
"x": 572.5888618465789,
|
||||
"y": -20.827003962303266
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "loopAgentflow_1",
|
||||
"position": {
|
||||
"x": 600.379151793432,
|
||||
"y": 90.25732743474846
|
||||
"x": 566.7568359277939,
|
||||
"y": 90.98824734487103
|
||||
},
|
||||
"data": {
|
||||
"id": "loopAgentflow_1",
|
||||
@@ -1622,20 +1633,20 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 186,
|
||||
"height": 65,
|
||||
"width": 195,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 600.379151793432,
|
||||
"y": 90.25732743474846
|
||||
"x": 566.7568359277939,
|
||||
"y": 90.98824734487103
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "llmAgentflow_0",
|
||||
"position": {
|
||||
"x": -78.28788541792727,
|
||||
"y": 87.1528514813091
|
||||
"x": -60.01488766486309,
|
||||
"y": 87.88377139143167
|
||||
},
|
||||
"data": {
|
||||
"id": "llmAgentflow_0",
|
||||
@@ -1950,7 +1961,7 @@
|
||||
],
|
||||
"llmModelConfig": {
|
||||
"cache": "",
|
||||
"modelName": "gpt-4o-mini",
|
||||
"modelName": "gpt-4.1",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
@@ -1964,7 +1975,6 @@
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": "",
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium",
|
||||
"llmModel": "chatOpenAI"
|
||||
}
|
||||
@@ -1980,12 +1990,12 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 168,
|
||||
"height": 71,
|
||||
"width": 148,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -78.28788541792727,
|
||||
"y": 87.1528514813091
|
||||
"x": -60.01488766486309,
|
||||
"y": 87.88377139143167
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
|
||||
@@ -0,0 +1,544 @@
|
||||
{
|
||||
"description": "Translate text from one language to another",
|
||||
"usecases": ["Basic"],
|
||||
"nodes": [
|
||||
{
|
||||
"id": "startAgentflow_0",
|
||||
"type": "agentFlow",
|
||||
"position": {
|
||||
"x": 64,
|
||||
"y": 98.5
|
||||
},
|
||||
"data": {
|
||||
"id": "startAgentflow_0",
|
||||
"label": "Start",
|
||||
"version": 1.1,
|
||||
"name": "startAgentflow",
|
||||
"type": "Start",
|
||||
"color": "#7EE787",
|
||||
"hideInput": true,
|
||||
"baseClasses": ["Start"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Starting point of the agentflow",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Input Type",
|
||||
"name": "startInputType",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Chat Input",
|
||||
"name": "chatInput",
|
||||
"description": "Start the conversation with chat input"
|
||||
},
|
||||
{
|
||||
"label": "Form Input",
|
||||
"name": "formInput",
|
||||
"description": "Start the workflow with form inputs"
|
||||
}
|
||||
],
|
||||
"default": "chatInput",
|
||||
"id": "startAgentflow_0-input-startInputType-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Form Title",
|
||||
"name": "formTitle",
|
||||
"type": "string",
|
||||
"placeholder": "Please Fill Out The Form",
|
||||
"show": {
|
||||
"startInputType": "formInput"
|
||||
},
|
||||
"id": "startAgentflow_0-input-formTitle-string",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Form Description",
|
||||
"name": "formDescription",
|
||||
"type": "string",
|
||||
"placeholder": "Complete all fields below to continue",
|
||||
"show": {
|
||||
"startInputType": "formInput"
|
||||
},
|
||||
"id": "startAgentflow_0-input-formDescription-string",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Form Input Types",
|
||||
"name": "formInputTypes",
|
||||
"description": "Specify the type of form input",
|
||||
"type": "array",
|
||||
"show": {
|
||||
"startInputType": "formInput"
|
||||
},
|
||||
"array": [
|
||||
{
|
||||
"label": "Type",
|
||||
"name": "type",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "String",
|
||||
"name": "string"
|
||||
},
|
||||
{
|
||||
"label": "Number",
|
||||
"name": "number"
|
||||
},
|
||||
{
|
||||
"label": "Boolean",
|
||||
"name": "boolean"
|
||||
},
|
||||
{
|
||||
"label": "Options",
|
||||
"name": "options"
|
||||
}
|
||||
],
|
||||
"default": "string"
|
||||
},
|
||||
{
|
||||
"label": "Label",
|
||||
"name": "label",
|
||||
"type": "string",
|
||||
"placeholder": "Label for the input"
|
||||
},
|
||||
{
|
||||
"label": "Variable Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "Variable name for the input (must be camel case)",
|
||||
"description": "Variable name must be camel case. For example: firstName, lastName, etc."
|
||||
},
|
||||
{
|
||||
"label": "Add Options",
|
||||
"name": "addOptions",
|
||||
"type": "array",
|
||||
"show": {
|
||||
"formInputTypes[$index].type": "options"
|
||||
},
|
||||
"array": [
|
||||
{
|
||||
"label": "Option",
|
||||
"name": "option",
|
||||
"type": "string"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-formInputTypes-array",
|
||||
"display": false
|
||||
},
|
||||
{
|
||||
"label": "Ephemeral Memory",
|
||||
"name": "startEphemeralMemory",
|
||||
"type": "boolean",
|
||||
"description": "Start fresh for every execution without past chat history",
|
||||
"optional": true,
|
||||
"id": "startAgentflow_0-input-startEphemeralMemory-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Flow State",
|
||||
"name": "startState",
|
||||
"description": "Runtime state during the execution of the workflow",
|
||||
"type": "array",
|
||||
"optional": true,
|
||||
"array": [
|
||||
{
|
||||
"label": "Key",
|
||||
"name": "key",
|
||||
"type": "string",
|
||||
"placeholder": "Foo"
|
||||
},
|
||||
{
|
||||
"label": "Value",
|
||||
"name": "value",
|
||||
"type": "string",
|
||||
"placeholder": "Bar",
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"id": "startAgentflow_0-input-startState-array",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Persist State",
|
||||
"name": "startPersistState",
|
||||
"type": "boolean",
|
||||
"description": "Persist the state in the same session",
|
||||
"optional": true,
|
||||
"id": "startAgentflow_0-input-startPersistState-boolean",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"startInputType": "chatInput",
|
||||
"formTitle": "",
|
||||
"formDescription": "",
|
||||
"formInputTypes": "",
|
||||
"startEphemeralMemory": "",
|
||||
"startState": "",
|
||||
"startPersistState": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "startAgentflow_0-output-startAgentflow",
|
||||
"label": "Start",
|
||||
"name": "startAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 103,
|
||||
"height": 66,
|
||||
"positionAbsolute": {
|
||||
"x": 64,
|
||||
"y": 98.5
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "llmAgentflow_0",
|
||||
"position": {
|
||||
"x": 234.5,
|
||||
"y": 96.25
|
||||
},
|
||||
"data": {
|
||||
"id": "llmAgentflow_0",
|
||||
"label": "Translator",
|
||||
"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": false
|
||||
},
|
||||
{
|
||||
"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": false
|
||||
},
|
||||
{
|
||||
"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": "chatGoogleGenerativeAI",
|
||||
"llmMessages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "<p>You are a helpful assistant that translates English to Japanese language. Return only Japanese language</p>"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "<p>English:</p><p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p><p>Japanese:</p><p></p>"
|
||||
}
|
||||
],
|
||||
"llmEnableMemory": false,
|
||||
"llmReturnResponseAs": "userMessage",
|
||||
"llmStructuredOutput": "",
|
||||
"llmUpdateState": "",
|
||||
"llmModelConfig": {
|
||||
"cache": "",
|
||||
"contextCache": "",
|
||||
"modelName": "gemini-2.0-flash",
|
||||
"customModelName": "",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxOutputTokens": "",
|
||||
"topP": "",
|
||||
"topK": "",
|
||||
"harmCategory": "",
|
||||
"harmBlockThreshold": "",
|
||||
"baseUrl": "",
|
||||
"allowImageUploads": "",
|
||||
"llmModel": "chatGoogleGenerativeAI"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "llmAgentflow_0-output-llmAgentflow",
|
||||
"label": "LLM",
|
||||
"name": "llmAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 200,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 234.5,
|
||||
"y": 96.25
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "startAgentflow_0",
|
||||
"sourceHandle": "startAgentflow_0-output-startAgentflow",
|
||||
"target": "llmAgentflow_0",
|
||||
"targetHandle": "llmAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#7EE787",
|
||||
"targetColor": "#64B5F6",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-llmAgentflow_0-llmAgentflow_0"
|
||||
}
|
||||
]
|
||||
}
|
||||
+170
-18
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"description": "An agent that can post message to Slack channel",
|
||||
"description": "An agent that can post AI responses to Workplace channels like Slack and Teams",
|
||||
"usecases": ["Agent"],
|
||||
"nodes": [
|
||||
{
|
||||
@@ -186,8 +186,8 @@
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 101,
|
||||
"height": 65,
|
||||
"width": 103,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -192.5,
|
||||
@@ -508,8 +508,8 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 168,
|
||||
"height": 71,
|
||||
"width": 175,
|
||||
"height": 72,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -31.25,
|
||||
@@ -520,12 +520,12 @@
|
||||
{
|
||||
"id": "toolAgentflow_0",
|
||||
"position": {
|
||||
"x": 182.75,
|
||||
"y": 64.5
|
||||
"x": 181.67112630208328,
|
||||
"y": 28.357731119791666
|
||||
},
|
||||
"data": {
|
||||
"id": "toolAgentflow_0",
|
||||
"label": "Slack Reply",
|
||||
"label": "Post to Slack",
|
||||
"version": 1.1,
|
||||
"name": "toolAgentflow",
|
||||
"type": "Tool",
|
||||
@@ -627,20 +627,20 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 142,
|
||||
"height": 71,
|
||||
"width": 156,
|
||||
"height": 68,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 182.75,
|
||||
"y": 64.5
|
||||
"x": 181.67112630208328,
|
||||
"y": 28.357731119791666
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "directReplyAgentflow_0",
|
||||
"position": {
|
||||
"x": 366.75,
|
||||
"y": 67.5
|
||||
"x": 373.22324218750003,
|
||||
"y": 66.96056315104161
|
||||
},
|
||||
"data": {
|
||||
"id": "directReplyAgentflow_0",
|
||||
@@ -673,12 +673,138 @@
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 194,
|
||||
"height": 65,
|
||||
"width": 204,
|
||||
"height": 66,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 366.75,
|
||||
"y": 67.5
|
||||
"x": 373.22324218750003,
|
||||
"y": 66.96056315104161
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "toolAgentflow_1",
|
||||
"position": {
|
||||
"x": 177.461181640625,
|
||||
"y": 108.73382161458332
|
||||
},
|
||||
"data": {
|
||||
"id": "toolAgentflow_1",
|
||||
"label": "Post to Teams",
|
||||
"version": 1.1,
|
||||
"name": "toolAgentflow",
|
||||
"type": "Tool",
|
||||
"color": "#d4a373",
|
||||
"baseClasses": ["Tool"],
|
||||
"category": "Agent Flows",
|
||||
"description": "Tools allow LLM to interact with external systems",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Tool",
|
||||
"name": "toolAgentflowSelectedTool",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listTools",
|
||||
"loadConfig": true,
|
||||
"id": "toolAgentflow_1-input-toolAgentflowSelectedTool-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": {
|
||||
"toolAgentflowSelectedTool": ".+"
|
||||
},
|
||||
"id": "toolAgentflow_1-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_1-input-toolUpdateState-array",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"toolAgentflowSelectedTool": "microsoftTeams",
|
||||
"toolInputArgs": [
|
||||
{
|
||||
"inputArgName": "teamId",
|
||||
"inputArgValue": "<p><your-team-id></p>"
|
||||
},
|
||||
{
|
||||
"inputArgName": "chatChannelId",
|
||||
"inputArgValue": "<p><your-channel-id></p>"
|
||||
},
|
||||
{
|
||||
"inputArgName": "messageBody",
|
||||
"inputArgValue": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"llmAgentflow_0\" data-label=\"llmAgentflow_0\">{{ llmAgentflow_0 }}</span> </p>"
|
||||
}
|
||||
],
|
||||
"toolUpdateState": "",
|
||||
"toolAgentflowSelectedToolConfig": {
|
||||
"credential": "",
|
||||
"teamsType": "chatMessage",
|
||||
"chatMessageActions": "[\"sendMessage\"]",
|
||||
"toolAgentflowSelectedTool": "microsoftTeams",
|
||||
"chatChannelIdSendMessage": "ABCDEFG"
|
||||
}
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "toolAgentflow_1-output-toolAgentflow",
|
||||
"label": "Tool",
|
||||
"name": "toolAgentflow"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"width": 163,
|
||||
"height": 68,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 177.461181640625,
|
||||
"y": 108.73382161458332
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
@@ -722,6 +848,32 @@
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "toolAgentflow_0-toolAgentflow_0-output-toolAgentflow-directReplyAgentflow_0-directReplyAgentflow_0"
|
||||
},
|
||||
{
|
||||
"source": "llmAgentflow_0",
|
||||
"sourceHandle": "llmAgentflow_0-output-llmAgentflow",
|
||||
"target": "toolAgentflow_1",
|
||||
"targetHandle": "toolAgentflow_1",
|
||||
"data": {
|
||||
"sourceColor": "#64B5F6",
|
||||
"targetColor": "#d4a373",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "llmAgentflow_0-llmAgentflow_0-output-llmAgentflow-toolAgentflow_1-toolAgentflow_1"
|
||||
},
|
||||
{
|
||||
"source": "toolAgentflow_1",
|
||||
"sourceHandle": "toolAgentflow_1-output-toolAgentflow",
|
||||
"target": "directReplyAgentflow_0",
|
||||
"targetHandle": "directReplyAgentflow_0",
|
||||
"data": {
|
||||
"sourceColor": "#d4a373",
|
||||
"targetColor": "#4DDBBB",
|
||||
"isHumanInput": false
|
||||
},
|
||||
"type": "agentFlow",
|
||||
"id": "toolAgentflow_1-toolAgentflow_1-output-toolAgentflow-directReplyAgentflow_0-directReplyAgentflow_0"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,533 +0,0 @@
|
||||
{
|
||||
"description": "Output antonym of given user input using few-shot prompt template built with examples",
|
||||
"framework": ["Langchain"],
|
||||
"usecases": ["Basic"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 956,
|
||||
"id": "fewShotPromptTemplate_1",
|
||||
"position": {
|
||||
"x": 886.3229032369354,
|
||||
"y": -32.18537399495787
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "fewShotPromptTemplate_1",
|
||||
"label": "Few Shot Prompt Template",
|
||||
"version": 1,
|
||||
"name": "fewShotPromptTemplate",
|
||||
"type": "FewShotPromptTemplate",
|
||||
"baseClasses": ["FewShotPromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
"description": "Prompt template you can build with examples",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Examples",
|
||||
"name": "examples",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" },\n]",
|
||||
"id": "fewShotPromptTemplate_1-input-examples-string"
|
||||
},
|
||||
{
|
||||
"label": "Prefix",
|
||||
"name": "prefix",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "Give the antonym of every input",
|
||||
"id": "fewShotPromptTemplate_1-input-prefix-string"
|
||||
},
|
||||
{
|
||||
"label": "Suffix",
|
||||
"name": "suffix",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "Word: {input}\nAntonym:",
|
||||
"id": "fewShotPromptTemplate_1-input-suffix-string"
|
||||
},
|
||||
{
|
||||
"label": "Example Separator",
|
||||
"name": "exampleSeparator",
|
||||
"type": "string",
|
||||
"placeholder": "\n\n",
|
||||
"id": "fewShotPromptTemplate_1-input-exampleSeparator-string"
|
||||
},
|
||||
{
|
||||
"label": "Template Format",
|
||||
"name": "templateFormat",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "f-string",
|
||||
"name": "f-string"
|
||||
},
|
||||
{
|
||||
"label": "jinja-2",
|
||||
"name": "jinja-2"
|
||||
}
|
||||
],
|
||||
"default": "f-string",
|
||||
"id": "fewShotPromptTemplate_1-input-templateFormat-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Example Prompt",
|
||||
"name": "examplePrompt",
|
||||
"type": "PromptTemplate",
|
||||
"id": "fewShotPromptTemplate_1-input-examplePrompt-PromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"examples": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" }\n]",
|
||||
"examplePrompt": "{{promptTemplate_0.data.instance}}",
|
||||
"prefix": "Give the antonym of every input",
|
||||
"suffix": "Word: {input}\\nAntonym:",
|
||||
"exampleSeparator": "\\n\\n",
|
||||
"templateFormat": "f-string"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "fewShotPromptTemplate_1-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"name": "fewShotPromptTemplate",
|
||||
"label": "FewShotPromptTemplate",
|
||||
"type": "FewShotPromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 886.3229032369354,
|
||||
"y": -32.18537399495787
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 513,
|
||||
"id": "promptTemplate_0",
|
||||
"position": {
|
||||
"x": 540.0140796251119,
|
||||
"y": -33.31673494170347
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "promptTemplate_0",
|
||||
"label": "Prompt Template",
|
||||
"version": 1,
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
"description": "Schema to represent a basic prompt for an LLM",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Template",
|
||||
"name": "template",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "What is a good name for a company that makes {product}?",
|
||||
"id": "promptTemplate_0-input-template-string"
|
||||
},
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"list": true,
|
||||
"id": "promptTemplate_0-input-promptValues-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"template": "Word: {word}\\nAntonym: {antonym}\\n",
|
||||
"promptValues": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"name": "promptTemplate",
|
||||
"label": "PromptTemplate",
|
||||
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 540.0140796251119,
|
||||
"y": -33.31673494170347
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 508,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1609.3428158423485,
|
||||
"y": 409.3763727612179
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
},
|
||||
{
|
||||
"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": "llmChain_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{fewShotPromptTemplate_1.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": "",
|
||||
"inputModeration": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1609.3428158423485,
|
||||
"y": 409.3763727612179
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 1220.4459070421062,
|
||||
"y": -80.75004891987845
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 6,
|
||||
"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-asyncOptions"
|
||||
},
|
||||
{
|
||||
"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": "",
|
||||
"imageResolution": "low"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 670,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1220.4459070421062,
|
||||
"y": -80.75004891987845
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "stickyNote_0",
|
||||
"position": {
|
||||
"x": 1607.723380325684,
|
||||
"y": 245.15558433515412
|
||||
},
|
||||
"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": "Using few shot examples, we let LLM learns from the examples.\n\nThis template showcase how we can let LLM gives output as an antonym for given input"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "stickyNote_0-output-stickyNote-StickyNote",
|
||||
"name": "stickyNote",
|
||||
"label": "StickyNote",
|
||||
"description": "Add a sticky note",
|
||||
"type": "StickyNote"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 143,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1607.723380325684,
|
||||
"y": 245.15558433515412
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "fewShotPromptTemplate_1",
|
||||
"targetHandle": "fewShotPromptTemplate_1-input-examplePrompt-PromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-fewShotPromptTemplate_1-fewShotPromptTemplate_1-input-examplePrompt-PromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "fewShotPromptTemplate_1",
|
||||
"sourceHandle": "fewShotPromptTemplate_1-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "fewShotPromptTemplate_1-fewShotPromptTemplate_1-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,7 +1,6 @@
|
||||
{
|
||||
"description": "Answer question based on retrieved documents (context) while remembering previous conversations",
|
||||
"framework": ["LlamaIndex"],
|
||||
"badge": "POPULAR",
|
||||
"usecases": ["Documents QnA"],
|
||||
"nodes": [
|
||||
{
|
||||
|
||||
@@ -1,8 +1,7 @@
|
||||
{
|
||||
"description": "Basic example of Conversation Chain with built-in memory - works exactly like ChatGPT",
|
||||
"usecases": ["Chatbot"],
|
||||
"usecases": ["Basic"],
|
||||
"framework": ["Langchain"],
|
||||
"badge": "POPULAR",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
{
|
||||
"description": "Documents QnA using Retrieval Augmented Generation (RAG) with Mistral and FAISS for similarity search",
|
||||
"badge": "POPULAR",
|
||||
"usecases": ["Documents QnA"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
|
||||
+1
-2
@@ -1,6 +1,5 @@
|
||||
{
|
||||
"description": "Flowise Docs Github QnA using Retrieval Augmented Generation (RAG)",
|
||||
"badge": "POPULAR",
|
||||
"description": "Github Docs QnA using Retrieval Augmented Generation (RAG)",
|
||||
"usecases": ["Documents QnA"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,6 +1,5 @@
|
||||
{
|
||||
"description": "QnA chain using Ollama local LLM, LocalAI embedding model, and Faiss local vector store",
|
||||
"badge": "POPULAR",
|
||||
"usecases": ["Documents QnA"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
|
||||
@@ -1,499 +0,0 @@
|
||||
{
|
||||
"description": "A chain that automatically picks an appropriate prompt from multiple prompts",
|
||||
"usecases": ["Basic"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 632,
|
||||
"id": "promptRetriever_0",
|
||||
"position": {
|
||||
"x": 197.46642699727397,
|
||||
"y": 25.945621297410923
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "promptRetriever_0",
|
||||
"label": "Prompt Retriever",
|
||||
"name": "promptRetriever",
|
||||
"version": 1,
|
||||
"type": "PromptRetriever",
|
||||
"baseClasses": ["PromptRetriever"],
|
||||
"category": "Retrievers",
|
||||
"description": "Store prompt template with name & description to be later queried by MultiPromptChain",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Prompt Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "physics-qa",
|
||||
"id": "promptRetriever_0-input-name-string"
|
||||
},
|
||||
{
|
||||
"label": "Prompt Description",
|
||||
"name": "description",
|
||||
"type": "string",
|
||||
"rows": 3,
|
||||
"description": "Description of what the prompt does and when it should be used",
|
||||
"placeholder": "Good for answering questions about physics",
|
||||
"id": "promptRetriever_0-input-description-string"
|
||||
},
|
||||
{
|
||||
"label": "Prompt System Message",
|
||||
"name": "systemMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know.",
|
||||
"id": "promptRetriever_0-input-systemMessage-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"name": "physics",
|
||||
"description": "Good for answering questions about physics",
|
||||
"systemMessage": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know."
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "promptRetriever_0-output-promptRetriever-PromptRetriever",
|
||||
"name": "promptRetriever",
|
||||
"label": "PromptRetriever",
|
||||
"type": "PromptRetriever"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 197.46642699727397,
|
||||
"y": 25.945621297410923
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 280,
|
||||
"id": "multiPromptChain_0",
|
||||
"position": {
|
||||
"x": 1619.1305522575494,
|
||||
"y": 210.28103293821243
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "multiPromptChain_0",
|
||||
"label": "Multi Prompt Chain",
|
||||
"name": "multiPromptChain",
|
||||
"version": 2,
|
||||
"type": "MultiPromptChain",
|
||||
"baseClasses": ["MultiPromptChain", "MultiRouteChain", "BaseChain", "BaseLangChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain automatically picks an appropriate prompt from multiple prompt templates",
|
||||
"inputParams": [],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "multiPromptChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt Retriever",
|
||||
"name": "promptRetriever",
|
||||
"type": "PromptRetriever",
|
||||
"list": true,
|
||||
"id": "multiPromptChain_0-input-promptRetriever-PromptRetriever"
|
||||
},
|
||||
{
|
||||
"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": "multiPromptChain_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"inputModeration": "",
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"promptRetriever": [
|
||||
"{{promptRetriever_0.data.instance}}",
|
||||
"{{promptRetriever_2.data.instance}}",
|
||||
"{{promptRetriever_1.data.instance}}"
|
||||
]
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "multiPromptChain_0-output-multiPromptChain-MultiPromptChain|MultiRouteChain|BaseChain|BaseLangChain",
|
||||
"name": "multiPromptChain",
|
||||
"label": "MultiPromptChain",
|
||||
"type": "MultiPromptChain | MultiRouteChain | BaseChain | BaseLangChain"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 1619.1305522575494,
|
||||
"y": 210.28103293821243
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 632,
|
||||
"id": "promptRetriever_1",
|
||||
"position": {
|
||||
"x": 539.1322780233141,
|
||||
"y": -250.72967142925938
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "promptRetriever_1",
|
||||
"label": "Prompt Retriever",
|
||||
"name": "promptRetriever",
|
||||
"version": 1,
|
||||
"type": "PromptRetriever",
|
||||
"baseClasses": ["PromptRetriever"],
|
||||
"category": "Retrievers",
|
||||
"description": "Store prompt template with name & description to be later queried by MultiPromptChain",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Prompt Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "physics-qa",
|
||||
"id": "promptRetriever_1-input-name-string"
|
||||
},
|
||||
{
|
||||
"label": "Prompt Description",
|
||||
"name": "description",
|
||||
"type": "string",
|
||||
"rows": 3,
|
||||
"description": "Description of what the prompt does and when it should be used",
|
||||
"placeholder": "Good for answering questions about physics",
|
||||
"id": "promptRetriever_1-input-description-string"
|
||||
},
|
||||
{
|
||||
"label": "Prompt System Message",
|
||||
"name": "systemMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know.",
|
||||
"id": "promptRetriever_1-input-systemMessage-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"name": "math",
|
||||
"description": "Good for answering math questions",
|
||||
"systemMessage": "You are a very good mathematician. You are great at answering math questions. You are so good because you are able to break down hard problems into their component parts, answer the component parts, and then put them together to answer the broader question."
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "promptRetriever_1-output-promptRetriever-PromptRetriever",
|
||||
"name": "promptRetriever",
|
||||
"label": "PromptRetriever",
|
||||
"type": "PromptRetriever"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 539.1322780233141,
|
||||
"y": -250.72967142925938
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 632,
|
||||
"id": "promptRetriever_2",
|
||||
"position": {
|
||||
"x": 872.6184534864304,
|
||||
"y": -366.9443140594265
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "promptRetriever_2",
|
||||
"label": "Prompt Retriever",
|
||||
"name": "promptRetriever",
|
||||
"version": 1,
|
||||
"type": "PromptRetriever",
|
||||
"baseClasses": ["PromptRetriever"],
|
||||
"category": "Retrievers",
|
||||
"description": "Store prompt template with name & description to be later queried by MultiPromptChain",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Prompt Name",
|
||||
"name": "name",
|
||||
"type": "string",
|
||||
"placeholder": "physics-qa",
|
||||
"id": "promptRetriever_2-input-name-string"
|
||||
},
|
||||
{
|
||||
"label": "Prompt Description",
|
||||
"name": "description",
|
||||
"type": "string",
|
||||
"rows": 3,
|
||||
"description": "Description of what the prompt does and when it should be used",
|
||||
"placeholder": "Good for answering questions about physics",
|
||||
"id": "promptRetriever_2-input-description-string"
|
||||
},
|
||||
{
|
||||
"label": "Prompt System Message",
|
||||
"name": "systemMessage",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know.",
|
||||
"id": "promptRetriever_2-input-systemMessage-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"name": "history",
|
||||
"description": "Good for answering questions about history",
|
||||
"systemMessage": "You are a very smart history professor. You are great at answering questions about history in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know."
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "promptRetriever_2-output-promptRetriever-PromptRetriever",
|
||||
"name": "promptRetriever",
|
||||
"label": "PromptRetriever",
|
||||
"type": "PromptRetriever"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 872.6184534864304,
|
||||
"y": -366.9443140594265
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 1228.4059611466973,
|
||||
"y": -326.46419383157513
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"version": 6.0,
|
||||
"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": 1228.4059611466973,
|
||||
"y": -326.46419383157513
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "promptRetriever_0",
|
||||
"sourceHandle": "promptRetriever_0-output-promptRetriever-PromptRetriever",
|
||||
"target": "multiPromptChain_0",
|
||||
"targetHandle": "multiPromptChain_0-input-promptRetriever-PromptRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "promptRetriever_0-promptRetriever_0-output-promptRetriever-PromptRetriever-multiPromptChain_0-multiPromptChain_0-input-promptRetriever-PromptRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "promptRetriever_2",
|
||||
"sourceHandle": "promptRetriever_2-output-promptRetriever-PromptRetriever",
|
||||
"target": "multiPromptChain_0",
|
||||
"targetHandle": "multiPromptChain_0-input-promptRetriever-PromptRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "promptRetriever_2-promptRetriever_2-output-promptRetriever-PromptRetriever-multiPromptChain_0-multiPromptChain_0-input-promptRetriever-PromptRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "promptRetriever_1",
|
||||
"sourceHandle": "promptRetriever_1-output-promptRetriever-PromptRetriever",
|
||||
"target": "multiPromptChain_0",
|
||||
"targetHandle": "multiPromptChain_0-input-promptRetriever-PromptRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "promptRetriever_1-promptRetriever_1-output-promptRetriever-PromptRetriever-multiPromptChain_0-multiPromptChain_0-input-promptRetriever-PromptRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "multiPromptChain_0",
|
||||
"targetHandle": "multiPromptChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-multiPromptChain_0-multiPromptChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,6 +1,5 @@
|
||||
{
|
||||
"description": "Tool agent that can retrieve answers from multiple sources using relevant Retriever Tools",
|
||||
"badge": "POPULAR",
|
||||
"usecases": ["Documents QnA"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
|
||||
File diff suppressed because one or more lines are too long
+1
-1
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"description": "Given API docs, agent automatically decide which API to call, generating url and body request from conversation",
|
||||
"description": "Given an OpenAPI YAML file, agent automatically decide which API to call, generating url and body request from conversation",
|
||||
"framework": ["Langchain"],
|
||||
"usecases": ["Interacting with API"],
|
||||
"nodes": [
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"description": "Simple chat engine to handle back and forth conversations using LlamaIndex",
|
||||
"usecases": ["Chatbot"],
|
||||
"usecases": ["Basic"],
|
||||
"framework": ["LlamaIndex"],
|
||||
"nodes": [
|
||||
{
|
||||
|
||||
@@ -1,490 +0,0 @@
|
||||
{
|
||||
"description": "Return response as a specified JSON structure instead of a string/text",
|
||||
"framework": ["Langchain"],
|
||||
"usecases": ["Extraction"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 574,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 845.3961479115309,
|
||||
"y": -205.74401580699953
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 6.0,
|
||||
"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",
|
||||
"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": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 845.3961479115309,
|
||||
"y": -205.74401580699953
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1229.1699649849293,
|
||||
"y": 245.55173505632646
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
},
|
||||
{
|
||||
"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": "llmChain_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"outputParser": "{{structuredOutputParser_0.data.instance}}",
|
||||
"chainName": "",
|
||||
"inputModeration": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 1229.1699649849293,
|
||||
"y": 245.55173505632646
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 652,
|
||||
"id": "chatPromptTemplate_0",
|
||||
"position": {
|
||||
"x": 501.1597501123828,
|
||||
"y": -154.43917602832562
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatPromptTemplate_0",
|
||||
"label": "Chat Prompt Template",
|
||||
"version": 1,
|
||||
"name": "chatPromptTemplate",
|
||||
"type": "ChatPromptTemplate",
|
||||
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate", "Runnable"],
|
||||
"category": "Prompts",
|
||||
"description": "Schema to represent a chat prompt",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
|
||||
"id": "chatPromptTemplate_0-input-systemMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Human Message",
|
||||
"name": "humanMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "{text}",
|
||||
"id": "chatPromptTemplate_0-input-humanMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"list": true,
|
||||
"id": "chatPromptTemplate_0-input-promptValues-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"systemMessagePrompt": "Answer user's question as best you can",
|
||||
"humanMessagePrompt": "{text}",
|
||||
"promptValues": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"name": "chatPromptTemplate",
|
||||
"label": "ChatPromptTemplate",
|
||||
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 501.1597501123828,
|
||||
"y": -154.43917602832562
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 328,
|
||||
"id": "structuredOutputParser_0",
|
||||
"position": {
|
||||
"x": 170.3869571939727,
|
||||
"y": 343.9298288967859
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "structuredOutputParser_0",
|
||||
"label": "Structured Output Parser",
|
||||
"version": 1,
|
||||
"name": "structuredOutputParser",
|
||||
"type": "StructuredOutputParser",
|
||||
"baseClasses": ["StructuredOutputParser", "BaseLLMOutputParser", "Runnable"],
|
||||
"category": "Output Parsers",
|
||||
"description": "Parse the output of an LLM call into a given (JSON) structure.",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Autofix",
|
||||
"name": "autofixParser",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"description": "In the event that the first call fails, will make another call to the model to fix any errors.",
|
||||
"id": "structuredOutputParser_0-input-autofixParser-boolean"
|
||||
},
|
||||
{
|
||||
"label": "JSON Structure",
|
||||
"name": "jsonStructure",
|
||||
"type": "datagrid",
|
||||
"description": "JSON structure for LLM to return",
|
||||
"datagrid": [
|
||||
{
|
||||
"field": "property",
|
||||
"headerName": "Property",
|
||||
"editable": true
|
||||
},
|
||||
{
|
||||
"field": "type",
|
||||
"headerName": "Type",
|
||||
"type": "singleSelect",
|
||||
"valueOptions": ["string", "number", "boolean"],
|
||||
"editable": true
|
||||
},
|
||||
{
|
||||
"field": "description",
|
||||
"headerName": "Description",
|
||||
"editable": true,
|
||||
"flex": 1
|
||||
}
|
||||
],
|
||||
"default": [
|
||||
{
|
||||
"property": "answer",
|
||||
"type": "string",
|
||||
"description": "answer to the user's question"
|
||||
},
|
||||
{
|
||||
"property": "source",
|
||||
"type": "string",
|
||||
"description": "sources used to answer the question, should be websites"
|
||||
}
|
||||
],
|
||||
"additionalParams": true,
|
||||
"id": "structuredOutputParser_0-input-jsonStructure-datagrid"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"autofixParser": true,
|
||||
"jsonStructure": [
|
||||
{
|
||||
"property": "answer",
|
||||
"type": "string",
|
||||
"description": "answer to the user's question"
|
||||
},
|
||||
{
|
||||
"property": "source",
|
||||
"type": "string",
|
||||
"description": "sources used to answer the question, should be websites"
|
||||
}
|
||||
]
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "structuredOutputParser_0-output-structuredOutputParser-StructuredOutputParser|BaseLLMOutputParser|Runnable",
|
||||
"name": "structuredOutputParser",
|
||||
"label": "StructuredOutputParser",
|
||||
"type": "StructuredOutputParser | BaseLLMOutputParser | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 170.3869571939727,
|
||||
"y": 343.9298288967859
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "structuredOutputParser_0",
|
||||
"sourceHandle": "structuredOutputParser_0-output-structuredOutputParser-StructuredOutputParser|BaseLLMOutputParser|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-outputParser-BaseLLMOutputParser",
|
||||
"type": "buttonedge",
|
||||
"id": "structuredOutputParser_0-structuredOutputParser_0-output-structuredOutputParser-StructuredOutputParser|BaseLLMOutputParser|Runnable-llmChain_0-llmChain_0-input-outputParser-BaseLLMOutputParser",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,631 @@
|
||||
{
|
||||
"description": "An agent designed to use tools and LLM with function calling capability to provide responses",
|
||||
"usecases": ["Agent"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 149,
|
||||
"id": "calculator_1",
|
||||
"position": {
|
||||
"x": 800.5125025564965,
|
||||
"y": 72.40592063242738
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "calculator_1",
|
||||
"label": "Calculator",
|
||||
"version": 1,
|
||||
"name": "calculator",
|
||||
"type": "Calculator",
|
||||
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain"],
|
||||
"category": "Tools",
|
||||
"description": "Perform calculations on response",
|
||||
"inputParams": [],
|
||||
"inputAnchors": [],
|
||||
"inputs": {},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "calculator_1-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain",
|
||||
"name": "calculator",
|
||||
"label": "Calculator",
|
||||
"type": "Calculator | Tool | StructuredTool | BaseLangChain"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 800.5125025564965,
|
||||
"y": 72.40592063242738
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 259,
|
||||
"id": "bufferMemory_1",
|
||||
"position": {
|
||||
"x": 607.6260576768354,
|
||||
"y": 584.7920541862369
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "bufferMemory_1",
|
||||
"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_1-input-sessionId-string"
|
||||
},
|
||||
{
|
||||
"label": "Memory Key",
|
||||
"name": "memoryKey",
|
||||
"type": "string",
|
||||
"default": "chat_history",
|
||||
"additionalParams": true,
|
||||
"id": "bufferMemory_1-input-memoryKey-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"sessionId": "",
|
||||
"memoryKey": "chat_history"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "bufferMemory_1-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
|
||||
"name": "bufferMemory",
|
||||
"label": "BufferMemory",
|
||||
"type": "BufferMemory | BaseChatMemory | BaseMemory"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 607.6260576768354,
|
||||
"y": 584.7920541862369
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 282,
|
||||
"id": "serpAPI_0",
|
||||
"position": {
|
||||
"x": 439.29908455642476,
|
||||
"y": 48.06000078669291
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "serpAPI_0",
|
||||
"label": "Serp API",
|
||||
"version": 1,
|
||||
"name": "serpAPI",
|
||||
"type": "SerpAPI",
|
||||
"baseClasses": ["SerpAPI", "Tool", "StructuredTool"],
|
||||
"category": "Tools",
|
||||
"description": "Wrapper around SerpAPI - a real-time API to access Google search results",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["serpApi"],
|
||||
"id": "serpAPI_0-input-credential-credential"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
|
||||
"name": "serpAPI",
|
||||
"label": "SerpAPI",
|
||||
"type": "SerpAPI | Tool | StructuredTool"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 439.29908455642476,
|
||||
"y": 48.06000078669291
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 772,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 97.01321406237057,
|
||||
"y": 63.67664262280914
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 8.2,
|
||||
"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",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "asyncOptions",
|
||||
"loadMethod": "listModels",
|
||||
"default": "gpt-4o-mini",
|
||||
"id": "chatOpenAI_0-input-modelName-asyncOptions",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-temperature-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Streaming",
|
||||
"name": "streaming",
|
||||
"type": "boolean",
|
||||
"default": true,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-streaming-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-maxTokens-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-topP-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-frequencyPenalty-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-presencePenalty-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-timeout-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Strict Tool Calling",
|
||||
"name": "strictToolCalling",
|
||||
"type": "boolean",
|
||||
"description": "Whether the model supports the `strict` argument when passing in tools. If not specified, the `strict` argument will not be passed to OpenAI.",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-strictToolCalling-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Stop Sequence",
|
||||
"name": "stopSequence",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"optional": true,
|
||||
"description": "List of stop words to use when generating. Use comma to separate multiple stop words.",
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-stopSequence-string",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-basepath-string",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Proxy Url",
|
||||
"name": "proxyUrl",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-proxyUrl-string",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-baseOptions-json",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Allow Image Uploads",
|
||||
"name": "allowImageUploads",
|
||||
"type": "boolean",
|
||||
"description": "Allow image input. Refer to the <a href=\"https://docs.flowiseai.com/using-flowise/uploads#image\" target=\"_blank\">docs</a> for more details.",
|
||||
"default": false,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-allowImageUploads-boolean",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"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,
|
||||
"show": {
|
||||
"allowImageUploads": true
|
||||
},
|
||||
"id": "chatOpenAI_0-input-imageResolution-options",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Reasoning Effort",
|
||||
"description": "Constrains effort on reasoning for reasoning models. Only applicable for o1 and o3 models.",
|
||||
"name": "reasoningEffort",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "Low",
|
||||
"name": "low"
|
||||
},
|
||||
{
|
||||
"label": "Medium",
|
||||
"name": "medium"
|
||||
},
|
||||
{
|
||||
"label": "High",
|
||||
"name": "high"
|
||||
}
|
||||
],
|
||||
"default": "medium",
|
||||
"optional": false,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-reasoningEffort-options",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-cache-BaseCache",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"cache": "",
|
||||
"modelName": "gpt-4o-mini",
|
||||
"temperature": 0.9,
|
||||
"streaming": true,
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"strictToolCalling": "",
|
||||
"stopSequence": "",
|
||||
"basepath": "",
|
||||
"proxyUrl": "",
|
||||
"baseOptions": "",
|
||||
"allowImageUploads": true,
|
||||
"imageResolution": "low",
|
||||
"reasoningEffort": "medium"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 97.01321406237057,
|
||||
"y": 63.67664262280914
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "stickyNote_0",
|
||||
"position": {
|
||||
"x": 1197.3578961103253,
|
||||
"y": 117.43214592301385
|
||||
},
|
||||
"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": "LLM has to be function calling compatible"
|
||||
},
|
||||
"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": {
|
||||
"x": 1197.3578961103253,
|
||||
"y": 117.43214592301385
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"id": "toolAgent_0",
|
||||
"position": {
|
||||
"x": 1200.6756893536506,
|
||||
"y": 208.18578883272318
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "toolAgent_0",
|
||||
"label": "Tool Agent",
|
||||
"version": 2,
|
||||
"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.",
|
||||
"description": "If Chat Prompt Template is provided, this will be ignored",
|
||||
"rows": 4,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "toolAgent_0-input-systemMessage-string",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Max Iterations",
|
||||
"name": "maxIterations",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "toolAgent_0-input-maxIterations-number",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Enable Detailed Streaming",
|
||||
"name": "enableDetailedStreaming",
|
||||
"type": "boolean",
|
||||
"default": false,
|
||||
"description": "Stream detailed intermediate steps during agent execution",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "toolAgent_0-input-enableDetailedStreaming-boolean",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Tools",
|
||||
"name": "tools",
|
||||
"type": "Tool",
|
||||
"list": true,
|
||||
"id": "toolAgent_0-input-tools-Tool",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "BaseChatMemory",
|
||||
"id": "toolAgent_0-input-memory-BaseChatMemory",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Tool Calling Chat Model",
|
||||
"name": "model",
|
||||
"type": "BaseChatModel",
|
||||
"description": "Only compatible with models that are capable of function calling: ChatOpenAI, ChatMistral, ChatAnthropic, ChatGoogleGenerativeAI, ChatVertexAI, GroqChat",
|
||||
"id": "toolAgent_0-input-model-BaseChatModel",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"label": "Chat Prompt Template",
|
||||
"name": "chatPromptTemplate",
|
||||
"type": "ChatPromptTemplate",
|
||||
"description": "Override existing prompt with Chat Prompt Template. Human Message must includes {input} variable",
|
||||
"optional": true,
|
||||
"id": "toolAgent_0-input-chatPromptTemplate-ChatPromptTemplate",
|
||||
"display": true
|
||||
},
|
||||
{
|
||||
"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": "toolAgent_0-input-inputModeration-Moderation",
|
||||
"display": true
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"tools": ["{{calculator_1.data.instance}}", "{{serpAPI_0.data.instance}}"],
|
||||
"memory": "{{bufferMemory_1.data.instance}}",
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"chatPromptTemplate": "",
|
||||
"systemMessage": "You are a helpful AI assistant.",
|
||||
"inputModeration": "",
|
||||
"maxIterations": "",
|
||||
"enableDetailedStreaming": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "toolAgent_0-output-toolAgent-AgentExecutor|BaseChain|Runnable",
|
||||
"name": "toolAgent",
|
||||
"label": "AgentExecutor",
|
||||
"description": "Agent that uses Function Calling to pick the tools and args to call",
|
||||
"type": "AgentExecutor | BaseChain | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 492,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1200.6756893536506,
|
||||
"y": 208.18578883272318
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "calculator_1",
|
||||
"sourceHandle": "calculator_1-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain",
|
||||
"target": "toolAgent_0",
|
||||
"targetHandle": "toolAgent_0-input-tools-Tool",
|
||||
"type": "buttonedge",
|
||||
"id": "calculator_1-calculator_1-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain-toolAgent_0-toolAgent_0-input-tools-Tool"
|
||||
},
|
||||
{
|
||||
"source": "serpAPI_0",
|
||||
"sourceHandle": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
|
||||
"target": "toolAgent_0",
|
||||
"targetHandle": "toolAgent_0-input-tools-Tool",
|
||||
"type": "buttonedge",
|
||||
"id": "serpAPI_0-serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool-toolAgent_0-toolAgent_0-input-tools-Tool"
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "toolAgent_0",
|
||||
"targetHandle": "toolAgent_0-input-model-BaseChatModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-toolAgent_0-toolAgent_0-input-model-BaseChatModel"
|
||||
},
|
||||
{
|
||||
"source": "bufferMemory_1",
|
||||
"sourceHandle": "bufferMemory_1-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
|
||||
"target": "toolAgent_0",
|
||||
"targetHandle": "toolAgent_0-input-memory-BaseChatMemory",
|
||||
"type": "buttonedge",
|
||||
"id": "bufferMemory_1-bufferMemory_1-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-toolAgent_0-toolAgent_0-input-memory-BaseChatMemory"
|
||||
}
|
||||
]
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -1,424 +0,0 @@
|
||||
{
|
||||
"description": "Language translation using LLM Chain with a Chat Prompt Template and Chat Model",
|
||||
"usecases": ["Basic"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 690,
|
||||
"id": "chatPromptTemplate_0",
|
||||
"position": {
|
||||
"x": 88.10922294721732,
|
||||
"y": 373.4354021348812
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatPromptTemplate_0",
|
||||
"label": "Chat Prompt Template",
|
||||
"version": 1,
|
||||
"name": "chatPromptTemplate",
|
||||
"type": "ChatPromptTemplate",
|
||||
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
"description": "Schema to represent a chat prompt",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
|
||||
"id": "chatPromptTemplate_0-input-systemMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Human Message",
|
||||
"name": "humanMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "{text}",
|
||||
"id": "chatPromptTemplate_0-input-humanMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"list": true,
|
||||
"id": "chatPromptTemplate_0-input-promptValues-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"systemMessagePrompt": "You are a helpful assistant that translates {input_language} to {output_language}.",
|
||||
"humanMessagePrompt": "{text}",
|
||||
"promptValues": "{\"input_language\":\"English\",\"output_language\":\"French\",\"text\":\"\"}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
|
||||
"name": "chatPromptTemplate",
|
||||
"label": "ChatPromptTemplate",
|
||||
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 88.10922294721732,
|
||||
"y": 373.4354021348812
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 670,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 423.0077090865524,
|
||||
"y": 380.66673510213775
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"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",
|
||||
"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": 423.0077090865524,
|
||||
"y": 380.66673510213775
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 508,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 774.5069894501554,
|
||||
"y": 480.02655553818863
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
},
|
||||
{
|
||||
"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": "llmChain_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": "Language Translation",
|
||||
"inputModeration": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 774.5069894501554,
|
||||
"y": 480.02655553818863
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "stickyNote_0",
|
||||
"position": {
|
||||
"x": -258.15932684125505,
|
||||
"y": 656.5109602097457
|
||||
},
|
||||
"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": "In the Format Prompt Values, we can specify the variables used in prompt.\n\n{\n input_language: \"English\",\n output_language: \"French\"\n}\n\nIf the last variable is not specified, in this case {text}, user question will be used as value."
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "stickyNote_0-output-stickyNote-StickyNote",
|
||||
"name": "stickyNote",
|
||||
"label": "StickyNote",
|
||||
"description": "Add a sticky note",
|
||||
"type": "StickyNote"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"width": 300,
|
||||
"height": 243,
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -258.15932684125505,
|
||||
"y": 656.5109602097457
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,398 +0,0 @@
|
||||
{
|
||||
"description": "Using Vectara for Retrieval Augmented Generation (RAG) to answer questions from documents",
|
||||
"usecases": ["Documents QnA"],
|
||||
"framework": ["Langchain"],
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 520,
|
||||
"id": "vectaraQAChain_0",
|
||||
"position": {
|
||||
"x": 740.28434119739,
|
||||
"y": 164.93261446841598
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "vectaraQAChain_0",
|
||||
"label": "Vectara QA Chain",
|
||||
"version": 2,
|
||||
"name": "vectaraQAChain",
|
||||
"type": "VectaraQAChain",
|
||||
"baseClasses": ["VectaraQAChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "QA chain for Vectara",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Summarizer Prompt Name",
|
||||
"name": "summarizerPromptName",
|
||||
"description": "Summarize the results fetched from Vectara. Read <a target=\"_blank\" href=\"https://docs.vectara.com/docs/learn/grounded-generation/select-a-summarizer\">more</a>",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "vectara-summary-ext-v1.2.0 (gpt-3.5-turbo)",
|
||||
"name": "vectara-summary-ext-v1.2.0"
|
||||
},
|
||||
{
|
||||
"label": "vectara-experimental-summary-ext-2023-10-23-small (gpt-3.5-turbo)",
|
||||
"name": "vectara-experimental-summary-ext-2023-10-23-small",
|
||||
"description": "In beta, available to both Growth and Scale Vectara users"
|
||||
},
|
||||
{
|
||||
"label": "vectara-summary-ext-v1.3.0 (gpt-4.0)",
|
||||
"name": "vectara-summary-ext-v1.3.0",
|
||||
"description": "Only available to paying Scale Vectara users"
|
||||
},
|
||||
{
|
||||
"label": "vectara-experimental-summary-ext-2023-10-23-med (gpt-4.0)",
|
||||
"name": "vectara-experimental-summary-ext-2023-10-23-med",
|
||||
"description": "In beta, only available to paying Scale Vectara users"
|
||||
}
|
||||
],
|
||||
"default": "vectara-summary-ext-v1.2.0",
|
||||
"id": "vectaraQAChain_0-input-summarizerPromptName-options"
|
||||
},
|
||||
{
|
||||
"label": "Response Language",
|
||||
"name": "responseLang",
|
||||
"description": "Return the response in specific language. If not selected, Vectara will automatically detects the language. Read <a target=\"_blank\" href=\"https://docs.vectara.com/docs/learn/grounded-generation/grounded-generation-response-languages\">more</a>",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "English",
|
||||
"name": "eng"
|
||||
},
|
||||
{
|
||||
"label": "German",
|
||||
"name": "deu"
|
||||
},
|
||||
{
|
||||
"label": "French",
|
||||
"name": "fra"
|
||||
},
|
||||
{
|
||||
"label": "Chinese",
|
||||
"name": "zho"
|
||||
},
|
||||
{
|
||||
"label": "Korean",
|
||||
"name": "kor"
|
||||
},
|
||||
{
|
||||
"label": "Arabic",
|
||||
"name": "ara"
|
||||
},
|
||||
{
|
||||
"label": "Russian",
|
||||
"name": "rus"
|
||||
},
|
||||
{
|
||||
"label": "Thai",
|
||||
"name": "tha"
|
||||
},
|
||||
{
|
||||
"label": "Dutch",
|
||||
"name": "nld"
|
||||
},
|
||||
{
|
||||
"label": "Italian",
|
||||
"name": "ita"
|
||||
},
|
||||
{
|
||||
"label": "Portuguese",
|
||||
"name": "por"
|
||||
},
|
||||
{
|
||||
"label": "Spanish",
|
||||
"name": "spa"
|
||||
},
|
||||
{
|
||||
"label": "Japanese",
|
||||
"name": "jpn"
|
||||
},
|
||||
{
|
||||
"label": "Polish",
|
||||
"name": "pol"
|
||||
},
|
||||
{
|
||||
"label": "Turkish",
|
||||
"name": "tur"
|
||||
},
|
||||
{
|
||||
"label": "Vietnamese",
|
||||
"name": "vie"
|
||||
},
|
||||
{
|
||||
"label": "Indonesian",
|
||||
"name": "ind"
|
||||
},
|
||||
{
|
||||
"label": "Czech",
|
||||
"name": "ces"
|
||||
},
|
||||
{
|
||||
"label": "Ukrainian",
|
||||
"name": "ukr"
|
||||
},
|
||||
{
|
||||
"label": "Greek",
|
||||
"name": "ell"
|
||||
},
|
||||
{
|
||||
"label": "Hebrew",
|
||||
"name": "heb"
|
||||
},
|
||||
{
|
||||
"label": "Farsi/Persian",
|
||||
"name": "fas"
|
||||
},
|
||||
{
|
||||
"label": "Hindi",
|
||||
"name": "hin"
|
||||
},
|
||||
{
|
||||
"label": "Urdu",
|
||||
"name": "urd"
|
||||
},
|
||||
{
|
||||
"label": "Swedish",
|
||||
"name": "swe"
|
||||
},
|
||||
{
|
||||
"label": "Bengali",
|
||||
"name": "ben"
|
||||
},
|
||||
{
|
||||
"label": "Malay",
|
||||
"name": "msa"
|
||||
},
|
||||
{
|
||||
"label": "Romanian",
|
||||
"name": "ron"
|
||||
}
|
||||
],
|
||||
"optional": true,
|
||||
"default": "eng",
|
||||
"id": "vectaraQAChain_0-input-responseLang-options"
|
||||
},
|
||||
{
|
||||
"label": "Max Summarized Results",
|
||||
"name": "maxSummarizedResults",
|
||||
"description": "Maximum results used to build the summarized response",
|
||||
"type": "number",
|
||||
"default": 7,
|
||||
"id": "vectaraQAChain_0-input-maxSummarizedResults-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Vectara Store",
|
||||
"name": "vectaraStore",
|
||||
"type": "VectorStore",
|
||||
"id": "vectaraQAChain_0-input-vectaraStore-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": "vectaraQAChain_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"inputModeration": "",
|
||||
"vectaraStore": "{{vectara_1.data.instance}}",
|
||||
"summarizerPromptName": "vectara-experimental-summary-ext-2023-10-23-small",
|
||||
"responseLang": "eng",
|
||||
"maxSummarizedResults": 7
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "vectaraQAChain_0-output-vectaraQAChain-VectaraQAChain|BaseChain|Runnable",
|
||||
"name": "vectaraQAChain",
|
||||
"label": "VectaraQAChain",
|
||||
"type": "VectaraQAChain | BaseChain | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 740.28434119739,
|
||||
"y": 164.93261446841598
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 536,
|
||||
"id": "vectara_1",
|
||||
"position": {
|
||||
"x": 139.43135627266395,
|
||||
"y": 189.3685569634871
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "vectara_1",
|
||||
"label": "Vectara",
|
||||
"version": 2,
|
||||
"name": "vectara",
|
||||
"type": "Vectara",
|
||||
"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
|
||||
"category": "Vector Stores",
|
||||
"description": "Upsert embedded data and perform similarity search upon query using Vectara, a LLM-powered search-as-a-service",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["vectaraApi"],
|
||||
"id": "vectara_1-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "File",
|
||||
"name": "file",
|
||||
"description": "File to upload to Vectara. Supported file types: https://docs.vectara.com/docs/api-reference/indexing-apis/file-upload/file-upload-filetypes",
|
||||
"type": "file",
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-file-file"
|
||||
},
|
||||
{
|
||||
"label": "Metadata Filter",
|
||||
"name": "filter",
|
||||
"description": "Filter to apply to Vectara metadata. Refer to the <a target=\"_blank\" href=\"https://docs.flowiseai.com/vector-stores/vectara\">documentation</a> on how to use Vectara filters with Flowise.",
|
||||
"type": "string",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-filter-string"
|
||||
},
|
||||
{
|
||||
"label": "Sentences Before",
|
||||
"name": "sentencesBefore",
|
||||
"description": "Number of sentences to fetch before the matched sentence. Defaults to 2.",
|
||||
"type": "number",
|
||||
"default": 2,
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-sentencesBefore-number"
|
||||
},
|
||||
{
|
||||
"label": "Sentences After",
|
||||
"name": "sentencesAfter",
|
||||
"description": "Number of sentences to fetch after the matched sentence. Defaults to 2.",
|
||||
"type": "number",
|
||||
"default": 2,
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-sentencesAfter-number"
|
||||
},
|
||||
{
|
||||
"label": "Lambda",
|
||||
"name": "lambda",
|
||||
"description": "Enable hybrid search to improve retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.A value of 0.0 means that only neural search is used, while a value of 1.0 means that only keyword-based search is used. Defaults to 0.0 (neural only).",
|
||||
"default": 0,
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-lambda-number"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Defaults to 5",
|
||||
"placeholder": "5",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-topK-number"
|
||||
},
|
||||
{
|
||||
"label": "MMR K",
|
||||
"name": "mmrK",
|
||||
"description": "Number of top results to fetch for MMR. Defaults to 50",
|
||||
"placeholder": "50",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-mmrK-number"
|
||||
},
|
||||
{
|
||||
"label": "MMR diversity bias",
|
||||
"name": "mmrDiversityBias",
|
||||
"step": 0.1,
|
||||
"description": "The diversity bias to use for MMR. This is a value between 0.0 and 1.0Values closer to 1.0 optimize for the most diverse results.Defaults to 0 (MMR disabled)",
|
||||
"placeholder": "0.0",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-mmrDiversityBias-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Document",
|
||||
"name": "document",
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"optional": true,
|
||||
"id": "vectara_1-input-document-Document"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": "",
|
||||
"filter": "",
|
||||
"sentencesBefore": 2,
|
||||
"sentencesAfter": 2,
|
||||
"lambda": "",
|
||||
"topK": "",
|
||||
"mmrK": "",
|
||||
"mmrDiversityBias": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "vectara_1-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Vectara Retriever",
|
||||
"type": "Vectara | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "vectara_1-output-vectorStore-Vectara|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Vectara Vector Store",
|
||||
"type": "Vectara | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "vectorStore"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 139.43135627266395,
|
||||
"y": 189.3685569634871
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "vectara_1",
|
||||
"sourceHandle": "vectara_1-output-vectorStore-Vectara|VectorStore",
|
||||
"target": "vectaraQAChain_0",
|
||||
"targetHandle": "vectaraQAChain_0-input-vectaraStore-VectorStore",
|
||||
"type": "buttonedge",
|
||||
"id": "vectara_1-vectara_1-output-vectorStore-Vectara|VectorStore-vectaraQAChain_0-vectaraQAChain_0-input-vectaraStore-VectorStore"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,788 +0,0 @@
|
||||
{
|
||||
"description": "Scrape web pages to be used with Retrieval Augmented Generation (RAG) for question answering",
|
||||
"usecases": ["Documents QnA"],
|
||||
"framework": ["Langchain"],
|
||||
"badge": "POPULAR",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 424,
|
||||
"id": "openAIEmbeddings_0",
|
||||
"position": {
|
||||
"x": 805.4033852865127,
|
||||
"y": 289.17383087232275
|
||||
},
|
||||
"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": 805.4033852865127,
|
||||
"y": 289.17383087232275
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 378,
|
||||
"id": "htmlToMarkdownTextSplitter_0",
|
||||
"position": {
|
||||
"x": 459.0189921792261,
|
||||
"y": -21.97787557438943
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "htmlToMarkdownTextSplitter_0",
|
||||
"label": "HtmlToMarkdown Text Splitter",
|
||||
"version": 1,
|
||||
"name": "htmlToMarkdownTextSplitter",
|
||||
"type": "HtmlToMarkdownTextSplitter",
|
||||
"baseClasses": [
|
||||
"HtmlToMarkdownTextSplitter",
|
||||
"MarkdownTextSplitter",
|
||||
"RecursiveCharacterTextSplitter",
|
||||
"TextSplitter",
|
||||
"BaseDocumentTransformer"
|
||||
],
|
||||
"category": "Text Splitters",
|
||||
"description": "Converts Html to Markdown and then split your content into documents based on the Markdown headers",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chunk Size",
|
||||
"name": "chunkSize",
|
||||
"type": "number",
|
||||
"default": 1000,
|
||||
"optional": true,
|
||||
"id": "htmlToMarkdownTextSplitter_0-input-chunkSize-number"
|
||||
},
|
||||
{
|
||||
"label": "Chunk Overlap",
|
||||
"name": "chunkOverlap",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"id": "htmlToMarkdownTextSplitter_0-input-chunkOverlap-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"chunkSize": "4000",
|
||||
"chunkOverlap": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
|
||||
"name": "htmlToMarkdownTextSplitter",
|
||||
"label": "HtmlToMarkdownTextSplitter",
|
||||
"type": "HtmlToMarkdownTextSplitter | MarkdownTextSplitter | RecursiveCharacterTextSplitter | TextSplitter | BaseDocumentTransformer"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 459.0189921792261,
|
||||
"y": -21.97787557438943
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 532,
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"position": {
|
||||
"x": 1892.82894546983,
|
||||
"y": 282.2572649522094
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"label": "Conversational Retrieval QA Chain",
|
||||
"version": 3,
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain",
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Rephrase Prompt",
|
||||
"name": "rephrasePrompt",
|
||||
"type": "string",
|
||||
"description": "Using previous chat history, rephrase question into a standalone question",
|
||||
"warning": "Prompt must include input variables: {chat_history} and {question}",
|
||||
"rows": 4,
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
|
||||
"id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Response Prompt",
|
||||
"name": "responsePrompt",
|
||||
"type": "string",
|
||||
"description": "Taking the rephrased question, search for answer from the provided context",
|
||||
"warning": "Prompt must include input variable: {context}",
|
||||
"rows": 4,
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
|
||||
"id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Chat Model",
|
||||
"name": "model",
|
||||
"type": "BaseChatModel",
|
||||
"id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
|
||||
},
|
||||
{
|
||||
"label": "Vector Store Retriever",
|
||||
"name": "vectorStoreRetriever",
|
||||
"type": "BaseRetriever",
|
||||
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
|
||||
},
|
||||
{
|
||||
"label": "Memory",
|
||||
"name": "memory",
|
||||
"type": "BaseMemory",
|
||||
"optional": true,
|
||||
"description": "If left empty, a default BufferMemory will be used",
|
||||
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
|
||||
},
|
||||
{
|
||||
"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": "conversationalRetrievalQAChain_0-input-inputModeration-Moderation"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"inputModeration": "",
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{pinecone_0.data.instance}}",
|
||||
"memory": "",
|
||||
"returnSourceDocuments": true,
|
||||
"rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
|
||||
"responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"label": "ConversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1892.82894546983,
|
||||
"y": 282.2572649522094
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 426,
|
||||
"id": "cheerioWebScraper_0",
|
||||
"position": {
|
||||
"x": 815.9295655148293,
|
||||
"y": -190.50425962124604
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "cheerioWebScraper_0",
|
||||
"label": "Cheerio Web Scraper",
|
||||
"version": 1.1,
|
||||
"name": "cheerioWebScraper",
|
||||
"type": "Document",
|
||||
"baseClasses": ["Document"],
|
||||
"category": "Document Loaders",
|
||||
"description": "Load data from webpages",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "URL",
|
||||
"name": "url",
|
||||
"type": "string",
|
||||
"id": "cheerioWebScraper_0-input-url-string"
|
||||
},
|
||||
{
|
||||
"label": "Get Relative Links Method",
|
||||
"name": "relativeLinksMethod",
|
||||
"type": "options",
|
||||
"description": "Select a method to retrieve relative links",
|
||||
"options": [
|
||||
{
|
||||
"label": "Web Crawl",
|
||||
"name": "webCrawl",
|
||||
"description": "Crawl relative links from HTML URL"
|
||||
},
|
||||
{
|
||||
"label": "Scrape XML Sitemap",
|
||||
"name": "scrapeXMLSitemap",
|
||||
"description": "Scrape relative links from XML sitemap URL"
|
||||
}
|
||||
],
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "cheerioWebScraper_0-input-relativeLinksMethod-options"
|
||||
},
|
||||
{
|
||||
"label": "Get Relative Links Limit",
|
||||
"name": "limit",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"description": "Only used when \"Get Relative Links Method\" is selected. Set 0 to retrieve all relative links, default limit is 10.",
|
||||
"warning": "Retrieving all links might take long time, and all links will be upserted again if the flow's state changed (eg: different URL, chunk size, etc)",
|
||||
"id": "cheerioWebScraper_0-input-limit-number"
|
||||
},
|
||||
{
|
||||
"label": "Selector (CSS)",
|
||||
"name": "selector",
|
||||
"type": "string",
|
||||
"description": "Specify a CSS selector to select the content to be extracted",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "cheerioWebScraper_0-input-selector-string"
|
||||
},
|
||||
{
|
||||
"label": "Metadata",
|
||||
"name": "metadata",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "cheerioWebScraper_0-input-metadata-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Text Splitter",
|
||||
"name": "textSplitter",
|
||||
"type": "TextSplitter",
|
||||
"optional": true,
|
||||
"id": "cheerioWebScraper_0-input-textSplitter-TextSplitter"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"url": "https://flowiseai.com/",
|
||||
"textSplitter": "{{htmlToMarkdownTextSplitter_0.data.instance}}",
|
||||
"relativeLinksMethod": "",
|
||||
"limit": "",
|
||||
"metadata": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
|
||||
"name": "cheerioWebScraper",
|
||||
"label": "Document",
|
||||
"type": "Document"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 815.9295655148293,
|
||||
"y": -190.50425962124604
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 670,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 1532.4907022314349,
|
||||
"y": -270.38662863532466
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 6,
|
||||
"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": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1532.4907022314349,
|
||||
"y": -270.38662863532466
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 555,
|
||||
"id": "pinecone_0",
|
||||
"position": {
|
||||
"x": 1182.9660159923678,
|
||||
"y": 56.45789225898284
|
||||
},
|
||||
"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"
|
||||
},
|
||||
{
|
||||
"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"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": ["{{cheerioWebScraper_0.data.instance}}"],
|
||||
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
|
||||
"pineconeIndex": "",
|
||||
"pineconeNamespace": "",
|
||||
"pineconeMetadataFilter": "",
|
||||
"topK": "",
|
||||
"searchType": "similarity",
|
||||
"fetchK": "",
|
||||
"lambda": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Pinecone Retriever",
|
||||
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Pinecone Vector Store",
|
||||
"type": "Pinecone | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "retriever"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1182.9660159923678,
|
||||
"y": 56.45789225898284
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "htmlToMarkdownTextSplitter_0",
|
||||
"sourceHandle": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
|
||||
"target": "cheerioWebScraper_0",
|
||||
"targetHandle": "cheerioWebScraper_0-input-textSplitter-TextSplitter",
|
||||
"type": "buttonedge",
|
||||
"id": "htmlToMarkdownTextSplitter_0-htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer-cheerioWebScraper_0-cheerioWebScraper_0-input-textSplitter-TextSplitter",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "cheerioWebScraper_0",
|
||||
"sourceHandle": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
|
||||
"target": "pinecone_0",
|
||||
"targetHandle": "pinecone_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "cheerioWebScraper_0-cheerioWebScraper_0-output-cheerioWebScraper-Document-pinecone_0-pinecone_0-input-document-Document",
|
||||
"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": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pinecone_0-pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user