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Merge branch 'main' into chore/Upgrade-LC-version

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Henry
2024-02-19 17:39:32 +08:00
parent 17a27d92a5 f0057739c9
commit 5a45a99620
94 changed files with 2265 additions and 702 deletions
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packages/server/.env.example
+1
View File
@@ -20,6 +20,7 @@ PORT=3000
# FLOWISE_USERNAME=user
# FLOWISE_PASSWORD=1234
# FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey
# FLOWISE_FILE_SIZE_LIMIT=50mb
# DEBUG=true
# LOG_LEVEL=debug (error | warn | info | verbose | debug)
# TOOL_FUNCTION_BUILTIN_DEP=crypto,fs
packages/server/marketplaces/chatflows/API Agent OpenAI.json
+18
View File
@@ -1,5 +1,7 @@
{
"description": "Use OpenAI Function Agent and Chain to automatically decide which API to call, generating url and body request from conversation",
"categories": "Buffer Memory,ChainTool,API Chain,ChatOpenAI,OpenAI Function Agent,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -123,6 +125,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -143,6 +149,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -462,6 +472,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -482,6 +496,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/API Agent.json
+26
View File
@@ -1,5 +1,7 @@
{
"description": "Given API docs, agent automatically decide which API to call, generating url and body request from conversation",
"categories": "Buffer Memory,ChainTool,API Chain,ChatOpenAI,Conversational Agent,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -431,6 +433,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -451,6 +457,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -622,6 +632,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -642,6 +656,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -813,6 +831,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -833,6 +855,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Advanced Structured Output Parser.json
+468
View File
@@ -0,0 +1,468 @@
{
"description": "Return response as a JSON structure as specified by a Zod schema",
"badge": "NEW",
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{
"width": 300,
"height": 508,
"id": "llmChain_0",
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},
"type": "customNode",
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"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"
}
],
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{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "llmChain_0-input-model-BaseLanguageModel"
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{
"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": "{{advancedStructuredOutputParser_0.data.instance}}",
"chainName": "",
"inputModeration": ""
},
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{
"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": 690,
"id": "chatPromptTemplate_0",
"position": {
"x": 493.26582927222483,
"y": -156.20470841335592
},
"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": "This AI is designed to only output information in JSON format without exception. This AI can only output JSON and will never output any other text.\n\nWhen asked to correct itself, this AI will only output the corrected JSON and never any other text.",
"humanMessagePrompt": "{text}",
"promptValues": ""
},
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{
"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": 493.26582927222483,
"y": -156.20470841335592
},
"dragging": false
},
{
"width": 300,
"height": 576,
"id": "chatOpenAI_0",
"position": {
"x": 860.555928011636,
"y": -355.71028569475095
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 3,
"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": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-turbo-preview",
"name": "gpt-4-turbo-preview"
},
{
"label": "gpt-4-0125-preview",
"name": "gpt-4-0125-preview"
},
{
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"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"
}
],
"inputAnchors": [
{
"label": "Cache",
"name": "cache",
"type": "BaseCache",
"optional": true,
"id": "chatOpenAI_0-input-cache-BaseCache"
}
],
"inputs": {
"cache": "",
"modelName": "",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": "",
"baseOptions": ""
},
"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": 860.555928011636,
"y": -355.71028569475095
},
"dragging": false
},
{
"width": 300,
"height": 454,
"id": "advancedStructuredOutputParser_0",
"position": {
"x": 489.3637511211284,
"y": 580.0628053662244
},
"type": "customNode",
"data": {
"id": "advancedStructuredOutputParser_0",
"label": "Advanced Structured Output Parser",
"version": 1,
"name": "advancedStructuredOutputParser",
"type": "AdvancedStructuredOutputParser",
"baseClasses": ["AdvancedStructuredOutputParser", "BaseLLMOutputParser", "Runnable"],
"category": "Output Parsers",
"description": "Parse the output of an LLM call into a given structure by providing a Zod schema.",
"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": "advancedStructuredOutputParser_0-input-autofixParser-boolean"
},
{
"label": "Example JSON",
"name": "exampleJson",
"type": "string",
"description": "Zod schema for the output of the model",
"rows": 10,
"default": "z.object({\n title: z.string(), // Title of the movie as a string\n yearOfRelease: z.number().int(), // Release year as an integer number,\n genres: z.enum([\n \"Action\", \"Comedy\", \"Drama\", \"Fantasy\", \"Horror\",\n \"Mystery\", \"Romance\", \"Science Fiction\", \"Thriller\", \"Documentary\"\n ]).array().max(2), // Array of genres, max of 2 from the defined enum\n shortDescription: z.string().max(500) // Short description, max 500 characters\n})",
"id": "advancedStructuredOutputParser_0-input-exampleJson-string"
}
],
"inputAnchors": [],
"inputs": {
"autofixParser": "",
"exampleJson": "z.object({\n title: z.string(), // Title of the movie as a string\n yearOfRelease: z.number().int(), // Release year as an integer number,\n genres: z.enum([\n \"Action\", \"Comedy\", \"Drama\", \"Fantasy\", \"Horror\",\n \"Mystery\", \"Romance\", \"Science Fiction\", \"Thriller\", \"Documentary\"\n ]).array().max(2), // Array of genres, max of 2 from the defined enum\n shortDescription: z.string().max(500) // Short description, max 500 characters\n})"
},
"outputAnchors": [
{
"id": "advancedStructuredOutputParser_0-output-advancedStructuredOutputParser-AdvancedStructuredOutputParser|BaseLLMOutputParser|Runnable",
"name": "advancedStructuredOutputParser",
"label": "AdvancedStructuredOutputParser",
"type": "AdvancedStructuredOutputParser | BaseLLMOutputParser | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 489.3637511211284,
"y": 580.0628053662244
}
}
],
"edges": [
{
"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": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "llmChain_0",
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
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"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel"
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"sourceHandle": "advancedStructuredOutputParser_0-output-advancedStructuredOutputParser-AdvancedStructuredOutputParser|BaseLLMOutputParser|Runnable",
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}
]
}
packages/server/marketplaces/chatflows/Antonym.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Output antonym of given user input using few-shot prompt template built with examples",
"categories": "Few Shot Prompt,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -210,6 +212,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -230,6 +236,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/AutoGPT.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Use AutoGPT - Autonomous agent with chain of thoughts for self-guided task completion",
"categories": "AutoGPT,SERP Tool,File Read/Write,ChatOpenAI,Pinecone,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -286,6 +288,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -306,6 +312,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/BabyAGI.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Use BabyAGI to create tasks and reprioritize for a given objective",
"categories": "BabyAGI,ChatOpenAI,Pinecone,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -379,6 +381,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -399,6 +405,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/CSV Agent.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Analyse and summarize CSV data",
"categories": "CSV Agent,ChatOpenAI,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -104,6 +106,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -124,6 +130,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Chat with a Podcast.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Engage with data sources such as YouTube Transcripts, Google, and more through intelligent Q&A interactions",
"categories": "Memory Vector Store,SearchAPI,ChatOpenAI,Conversational Retrieval QA Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -229,6 +231,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -249,6 +255,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/ChatGPTPlugin.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Use ChatGPT Plugins within LangChain abstractions with GET and POST Tools",
"categories": "ChatGPT Plugin,HTTP GET/POST,ChatOpenAI,MRKL Agent,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -249,6 +251,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -269,6 +275,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Claude LLM.json
+4 -2
View File
@@ -1,5 +1,7 @@
{
"description": "Use Anthropic Claude with 200k context window to ingest whole document for QnA",
"categories": "Buffer Memory,Prompt Template,Conversation Chain,ChatAnthropic,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -439,10 +441,10 @@
"type": "options",
"options": [
{
"id": "plainText_0-output-document-Document",
"id": "plainText_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "plainText_0-output-text-string|json",
packages/server/marketplaces/chatflows/Context Chat Engine.json
+6 -4
View File
@@ -1,5 +1,7 @@
{
"description": "Answer question based on retrieved documents (context) with built-in memory to remember conversation using LlamaIndex",
"categories": "Text File,Prompt Template,ChatOpenAI,Conversation Chain,Pinecone,LlamaIndex,Redis",
"framework": "LlamaIndex",
"badge": "NEW",
"nodes": [
{
@@ -57,10 +59,10 @@
"type": "options",
"options": [
{
"id": "textFile_0-output-document-Document",
"id": "textFile_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "textFile_0-output-text-string|json",
@@ -849,11 +851,11 @@
},
{
"source": "textFile_0",
"sourceHandle": "textFile_0-output-document-Document",
"sourceHandle": "textFile_0-output-document-Document|json",
"target": "pineconeLlamaIndex_0",
"targetHandle": "pineconeLlamaIndex_0-input-document-Document",
"type": "buttonedge",
"id": "textFile_0-textFile_0-output-document-Document-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-document-Document",
"id": "textFile_0-textFile_0-output-document-Document|json-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-document-Document",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Conversational Agent.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "A conversational agent for a chat model which utilize chat specific prompts",
"categories": "Calculator Tool,Buffer Memory,SerpAPI,ChatOpenAI,Conversational Agent,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -191,6 +193,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -211,6 +217,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json
+10
View File
@@ -1,6 +1,8 @@
{
"description": "Agent optimized for vector retrieval during conversation and answering questions based on previous dialogue.",
"categories": "Retriever Tool,Buffer Memory,ChatOpenAI,Conversational Retrieval Agent, Pinecone,Langchain",
"badge": "POPULAR",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -522,6 +524,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -542,6 +548,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json
+14 -4
View File
@@ -1,6 +1,8 @@
{
"description": "Text file QnA using conversational retrieval QA chain",
"categories": "TextFile,ChatOpenAI,Conversational Retrieval QA Chain,Pinecone,Langchain",
"badge": "POPULAR",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -233,10 +235,10 @@
"type": "options",
"options": [
{
"id": "textFile_0-output-document-Document",
"id": "textFile_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "textFile_0-output-text-string|json",
@@ -404,6 +406,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -424,6 +430,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -730,11 +740,11 @@
},
{
"source": "textFile_0",
"sourceHandle": "textFile_0-output-document-Document",
"sourceHandle": "textFile_0-output-document-Document|json",
"target": "pinecone_0",
"targetHandle": "pinecone_0-input-document-Document",
"type": "buttonedge",
"id": "textFile_0-textFile_0-output-document-Document-pinecone_0-pinecone_0-input-document-Document",
"id": "textFile_0-textFile_0-output-document-Document|json-pinecone_0-pinecone_0-input-document-Document",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Flowise Docs QnA.json
+10
View File
@@ -1,6 +1,8 @@
{
"description": "Flowise Docs Github QnA using conversational retrieval QA chain",
"categories": "Memory Vector Store,Github Loader,ChatOpenAI,Conversational Retrieval QA Chain,Langchain",
"badge": "POPULAR",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -410,6 +412,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -430,6 +436,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/HuggingFace LLM Chain.json
+2
View File
@@ -1,5 +1,7 @@
{
"description": "Simple LLM Chain using HuggingFace Inference API on falcon-7b-instruct model",
"categories": "HuggingFace,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
packages/server/marketplaces/chatflows/IfElse.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Split flows based on if else condition",
"categories": "IfElse Function,ChatOpenAI,OpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"badge": "new",
"nodes": [
{
@@ -943,6 +945,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -963,6 +969,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Image Generation.json
+10
View File
@@ -1,6 +1,8 @@
{
"description": "Generate image using Replicate Stability text-to-image generative AI model",
"badge": "NEW",
"categories": "Replicate,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -487,6 +489,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -507,6 +513,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Input Moderation.json
+10
View File
@@ -1,6 +1,8 @@
{
"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
"badge": "NEW",
"categories": "Moderation,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -199,6 +201,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -219,6 +225,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/List Output Parser.json
+10
View File
@@ -1,6 +1,8 @@
{
"description": "Return response as a list (array) instead of a string/text",
"badge": "NEW",
"categories": "CSV Output Parser,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -258,6 +260,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -278,6 +284,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Local QnA.json
+6 -4
View File
@@ -1,6 +1,8 @@
{
"description": "QnA chain using Ollama local LLM, LocalAI embedding model, and Faiss local vector store",
"badge": "POPULAR",
"categories": "Text File,ChatOllama,Conversational Retrieval QA Chain,Faiss,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -224,10 +226,10 @@
"type": "options",
"options": [
{
"id": "textFile_0-output-document-Document",
"id": "textFile_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "textFile_0-output-text-string|json",
@@ -649,11 +651,11 @@
},
{
"source": "textFile_0",
"sourceHandle": "textFile_0-output-document-Document",
"sourceHandle": "textFile_0-output-document-Document|json",
"target": "faiss_0",
"targetHandle": "faiss_0-input-document-Document",
"type": "buttonedge",
"id": "textFile_0-textFile_0-output-document-Document-faiss_0-faiss_0-input-document-Document",
"id": "textFile_0-textFile_0-output-document-Document|json-faiss_0-faiss_0-input-document-Document",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Long Term Memory.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Use long term memory like Zep to differentiate conversations between users with sessionId",
"categories": "ChatOpenAI,Conversational Retrieval QA Chain,Zep Memory,Qdrant,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -541,6 +543,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -561,6 +567,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Metadata Filter.json
+14 -4
View File
@@ -1,6 +1,8 @@
{
"description": "Upsert multiple files with metadata and filter by it using conversational retrieval QA chain",
"categories": "Text File,PDF File,ChatOpenAI,Conversational Retrieval QA Chain,Pinecone,Langchain",
"badge": "POPULAR",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -126,10 +128,10 @@
"type": "options",
"options": [
{
"id": "textFile_0-output-document-Document",
"id": "textFile_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "textFile_0-output-text-string|json",
@@ -488,6 +490,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -508,6 +514,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -836,11 +846,11 @@
},
{
"source": "textFile_0",
"sourceHandle": "textFile_0-output-document-Document",
"sourceHandle": "textFile_0-output-document-Document|json",
"target": "pinecone_0",
"targetHandle": "pinecone_0-input-document-Document",
"type": "buttonedge",
"id": "textFile_0-textFile_0-output-document-Document-pinecone_0-pinecone_0-input-document-Document",
"id": "textFile_0-textFile_0-output-document-Document|json-pinecone_0-pinecone_0-input-document-Document",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Multi Prompt Chain.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "A chain that automatically picks an appropriate prompt from multiple prompts",
"categories": "ChatOpenAI,Multi Prompt Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -312,6 +314,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -332,6 +338,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "A chain that automatically picks an appropriate retriever from multiple different vector databases",
"categories": "ChatOpenAI,Multi Retrieval QA Chain,Pinecone,Chroma,Supabase,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -423,6 +425,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -443,6 +449,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Multiple VectorDB.json
+34 -8
View File
@@ -1,5 +1,7 @@
{
"description": "Use the agent to choose between multiple different vector databases, with the ability to use other tools",
"categories": "Buffer Memory,ChatOpenAI,Chain Tool,Retrieval QA Chain,Redis,Faiss,Conversational Agent,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -520,6 +522,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -540,6 +546,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -964,10 +974,10 @@
"type": "options",
"options": [
{
"id": "plainText_0-output-document-Document",
"id": "plainText_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "plainText_0-output-text-string|json",
@@ -1038,6 +1048,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -1058,6 +1072,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -1236,6 +1254,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -1256,6 +1278,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -1501,10 +1527,10 @@
"type": "options",
"options": [
{
"id": "plainText_1-output-document-Document",
"id": "plainText_1-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "plainText_1-output-text-string|json",
@@ -1721,11 +1747,11 @@
},
{
"source": "plainText_0",
"sourceHandle": "plainText_0-output-document-Document",
"sourceHandle": "plainText_0-output-document-Document|json",
"target": "redis_0",
"targetHandle": "redis_0-input-document-Document",
"type": "buttonedge",
"id": "plainText_0-plainText_0-output-document-Document-redis_0-redis_0-input-document-Document",
"id": "plainText_0-plainText_0-output-document-Document|json-redis_0-redis_0-input-document-Document",
"data": {
"label": ""
}
@@ -1776,11 +1802,11 @@
},
{
"source": "plainText_1",
"sourceHandle": "plainText_1-output-document-Document",
"sourceHandle": "plainText_1-output-document-Document|json",
"target": "faiss_0",
"targetHandle": "faiss_0-input-document-Document",
"type": "buttonedge",
"id": "plainText_1-plainText_1-output-document-Document-faiss_0-faiss_0-input-document-Document",
"id": "plainText_1-plainText_1-output-document-Document|json-faiss_0-faiss_0-input-document-Document",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/OpenAI Agent.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call",
"categories": "Buffer Memory,Custom Tool, SerpAPI,OpenAI Function,Calculator Tool,ChatOpenAI,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -314,6 +316,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -334,6 +340,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/OpenAI Assistant.json
+2
View File
@@ -1,5 +1,7 @@
{
"description": "OpenAI Assistant that has instructions and can leverage models, tools, and knowledge to respond to user queries",
"categories": "Custom Tool, SerpAPI,OpenAI Assistant,Calculator Tool,Langchain",
"framework": "Langchain",
"badge": "NEW",
"nodes": [
{
packages/server/marketplaces/chatflows/Prompt Chaining with VectorStore.json
+18
View File
@@ -1,6 +1,8 @@
{
"description": "Use chat history to rephrase user question, and answer the rephrased question using retrieved docs from vector store",
"categories": "ChatOpenAI,LLM Chain,SingleStore,Langchain",
"badge": "POPULAR",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -462,6 +464,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -482,6 +488,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -660,6 +670,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -680,6 +694,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Prompt Chaining.json
+2
View File
@@ -1,5 +1,7 @@
{
"description": "Use output from a chain as prompt for another chain",
"categories": "Custom Tool,OpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
packages/server/marketplaces/chatflows/Query Engine.json
+6 -4
View File
@@ -1,6 +1,8 @@
{
"description": "Stateless query engine designed to answer question over your data using LlamaIndex",
"categories": "ChatAnthropic,Compact and Refine,Pinecone,LlamaIndex",
"badge": "NEW",
"framework": "LlamaIndex",
"nodes": [
{
"width": 300,
@@ -14,10 +16,10 @@
"data": {
"id": "queryEngine_0",
"label": "Query Engine",
"version": 1,
"version": 2,
"name": "queryEngine",
"type": "QueryEngine",
"baseClasses": ["QueryEngine"],
"baseClasses": ["QueryEngine", "BaseQueryEngine"],
"tags": ["LlamaIndex"],
"category": "Engine",
"description": "Simple query engine built to answer question over your data, without memory",
@@ -53,10 +55,10 @@
},
"outputAnchors": [
{
"id": "queryEngine_0-output-queryEngine-QueryEngine",
"id": "queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine",
"name": "queryEngine",
"label": "QueryEngine",
"type": "QueryEngine"
"type": "QueryEngine | BaseQueryEngine"
}
],
"outputs": {},
packages/server/marketplaces/chatflows/ReAct Agent.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "An agent that uses ReAct logic to decide what action to take",
"categories": "Calculator Tool,SerpAPI,ChatOpenAI,MRKL Agent,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -134,6 +136,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -154,6 +160,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Replicate LLM.json
+2
View File
@@ -1,5 +1,7 @@
{
"description": "Use Replicate API that runs Llama 13b v2 model with LLMChain",
"categories": "Replicate,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
packages/server/marketplaces/chatflows/SQL DB Chain.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Answer questions over a SQL database",
"categories": "ChatOpenAI,Sql Database Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -48,6 +50,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -68,6 +74,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/SQL Prompt.json
+26
View File
@@ -1,5 +1,7 @@
{
"description": "Manually construct prompts to query a SQL database",
"categories": "IfElse Function,Variable Set/Get,Custom JS Function,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"badge": "new",
"nodes": [
{
@@ -208,6 +210,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -228,6 +234,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -406,6 +416,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -426,6 +440,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -1330,6 +1348,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -1350,6 +1372,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Simple Chat Engine.json
+2
View File
@@ -1,5 +1,7 @@
{
"description": "Simple chat engine to handle back and forth conversations using LlamaIndex",
"categories": "BufferMemory,AzureChatOpenAI,LlamaIndex",
"framework": "LlamaIndex",
"badge": "NEW",
"nodes": [
{
packages/server/marketplaces/chatflows/Simple Conversation Chain.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Basic example of Conversation Chain with built-in memory - works exactly like ChatGPT",
"categories": "Buffer Memory,ChatOpenAI,Conversation Chain,Langchain",
"framework": "Langchain",
"badge": "POPULAR",
"nodes": [
{
@@ -49,6 +51,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -69,6 +75,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Simple LLM Chain.json
+2
View File
@@ -1,5 +1,7 @@
{
"description": "Basic example of stateless (no memory) LLM Chain with a Prompt Template and LLM Model",
"categories": "OpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
packages/server/marketplaces/chatflows/Structured Output Parser.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Return response as a specified JSON structure instead of a string/text",
"categories": "Structured Output Parser,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"badge": "NEW",
"nodes": [
{
@@ -49,6 +51,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -69,6 +75,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/SubQuestion Query Engine.json
+438 -330
View File
@@ -1,5 +1,7 @@
{
"description": "Breaks down query into sub questions for each relevant data source, then combine into final response",
"categories": "Sub Question Query Engine,Sticky Note,QueryEngine Tool,Compact and Refine,ChatOpenAI,Pinecone,LlamaIndex",
"framework": "LlamaIndex",
"badge": "NEW",
"nodes": [
{
@@ -7,8 +9,8 @@
"height": 749,
"id": "compactrefineLlamaIndex_0",
"position": {
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"x": -443.9012456561584,
"y": 826.6100190232154
},
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@@ -61,8 +63,8 @@
},
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},
"dragging": false
},
@@ -71,8 +73,8 @@
"height": 611,
"id": "pineconeLlamaIndex_0",
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"y": -132.1789597307308
},
"type": "customNode",
"data": {
@@ -181,14 +183,14 @@
}
],
"outputs": {
"output": "vectorStore"
"output": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 37.23548045607484,
"y": -119.7364648743818
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},
@@ -403,79 +405,13 @@
"y": -127.15143353229783
}
},
{
"width": 300,
"height": 511,
"id": "queryEngineToolLlamaIndex_0",
"position": {
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"y": -565.6224030941121
},
"type": "customNode",
"data": {
"id": "queryEngineToolLlamaIndex_0",
"label": "QueryEngine Tool",
"version": 1,
"name": "queryEngineToolLlamaIndex",
"type": "QueryEngineTool",
"baseClasses": ["QueryEngineTool"],
"tags": ["LlamaIndex"],
"category": "Tools",
"description": "Execute actions using ChatGPT Plugin Url",
"inputParams": [
{
"label": "Tool Name",
"name": "toolName",
"type": "string",
"description": "Tool name must be small capital letter with underscore. Ex: my_tool",
"id": "queryEngineToolLlamaIndex_0-input-toolName-string"
},
{
"label": "Tool Description",
"name": "toolDesc",
"type": "string",
"rows": 4,
"id": "queryEngineToolLlamaIndex_0-input-toolDesc-string"
}
],
"inputAnchors": [
{
"label": "Vector Store Index",
"name": "vectorStoreIndex",
"type": "VectorStoreIndex",
"id": "queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex"
}
],
"inputs": {
"vectorStoreIndex": "{{pineconeLlamaIndex_1.data.instance}}",
"toolName": "apple_tool",
"toolDesc": "A SEC Form 10K filing describing the financials of Apple Inc (APPL) for the 2022 time period."
},
"outputAnchors": [
{
"id": "queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool",
"name": "queryEngineToolLlamaIndex",
"label": "QueryEngineTool",
"type": "QueryEngineTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 460.37559236135905,
"y": -565.6224030941121
},
"dragging": false
},
{
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"height": 611,
"id": "pineconeLlamaIndex_1",
"position": {
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"y": -839.8824444107056
"x": 43.95604951980056,
"y": -783.0024679245387
},
"type": "customNode",
"data": {
@@ -584,162 +520,14 @@
}
],
"outputs": {
"output": "vectorStore"
"output": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 42.17855025460784,
"y": -839.8824444107056
},
"dragging": false
},
{
"width": 300,
"height": 511,
"id": "queryEngineToolLlamaIndex_1",
"position": {
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"y": -17.750065363429798
},
"type": "customNode",
"data": {
"id": "queryEngineToolLlamaIndex_1",
"label": "QueryEngine Tool",
"version": 1,
"name": "queryEngineToolLlamaIndex",
"type": "QueryEngineTool",
"baseClasses": ["QueryEngineTool"],
"tags": ["LlamaIndex"],
"category": "Tools",
"description": "Execute actions using ChatGPT Plugin Url",
"inputParams": [
{
"label": "Tool Name",
"name": "toolName",
"type": "string",
"description": "Tool name must be small capital letter with underscore. Ex: my_tool",
"id": "queryEngineToolLlamaIndex_1-input-toolName-string"
},
{
"label": "Tool Description",
"name": "toolDesc",
"type": "string",
"rows": 4,
"id": "queryEngineToolLlamaIndex_1-input-toolDesc-string"
}
],
"inputAnchors": [
{
"label": "Vector Store Index",
"name": "vectorStoreIndex",
"type": "VectorStoreIndex",
"id": "queryEngineToolLlamaIndex_1-input-vectorStoreIndex-VectorStoreIndex"
}
],
"inputs": {
"vectorStoreIndex": "{{pineconeLlamaIndex_0.data.instance}}",
"toolName": "tesla_tool",
"toolDesc": "A SEC Form 10K filing describing the financials of Tesla Inc (TSLA) for the 2022 time period."
},
"outputAnchors": [
{
"id": "queryEngineToolLlamaIndex_1-output-queryEngineToolLlamaIndex-QueryEngineTool",
"name": "queryEngineToolLlamaIndex",
"label": "QueryEngineTool",
"type": "QueryEngineTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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"y": -17.750065363429798
},
"dragging": false
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{
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"id": "subQuestionQueryEngine_0",
"position": {
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"y": 349.50858200305896
},
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"data": {
"id": "subQuestionQueryEngine_0",
"label": "Sub Question Query Engine",
"version": 1,
"name": "subQuestionQueryEngine",
"type": "SubQuestionQueryEngine",
"baseClasses": ["SubQuestionQueryEngine"],
"tags": ["LlamaIndex"],
"category": "Engine",
"description": "Simple query engine built to answer question over your data, without memory",
"inputParams": [
{
"label": "Return Source Documents",
"name": "returnSourceDocuments",
"type": "boolean",
"optional": true,
"id": "subQuestionQueryEngine_0-input-returnSourceDocuments-boolean"
}
],
"inputAnchors": [
{
"label": "QueryEngine Tools",
"name": "queryEngineTools",
"type": "QueryEngineTool",
"list": true,
"id": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
},
{
"label": "Chat Model",
"name": "model",
"type": "BaseChatModel_LlamaIndex",
"id": "subQuestionQueryEngine_0-input-model-BaseChatModel_LlamaIndex"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "BaseEmbedding_LlamaIndex",
"id": "subQuestionQueryEngine_0-input-embeddings-BaseEmbedding_LlamaIndex"
},
{
"label": "Response Synthesizer",
"name": "responseSynthesizer",
"type": "ResponseSynthesizer",
"description": "ResponseSynthesizer is responsible for sending the query, nodes, and prompt templates to the LLM to generate a response. See <a target=\"_blank\" href=\"https://ts.llamaindex.ai/modules/low_level/response_synthesizer\">more</a>",
"optional": true,
"id": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
}
],
"inputs": {
"queryEngineTools": ["{{queryEngineToolLlamaIndex_1.data.instance}}", "{{queryEngineToolLlamaIndex_0.data.instance}}"],
"model": "{{chatOpenAI_LlamaIndex_1.data.instance}}",
"embeddings": "{{openAIEmbedding_LlamaIndex_1.data.instance}}",
"responseSynthesizer": "{{compactrefineLlamaIndex_0.data.instance}}",
"returnSourceDocuments": true
},
"outputAnchors": [
{
"id": "subQuestionQueryEngine_0-output-subQuestionQueryEngine-SubQuestionQueryEngine",
"name": "subQuestionQueryEngine",
"label": "SubQuestionQueryEngine",
"type": "SubQuestionQueryEngine"
}
],
"outputs": {},
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},
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"x": 43.95604951980056,
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@@ -748,8 +536,8 @@
"height": 529,
"id": "chatOpenAI_LlamaIndex_1",
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@@ -882,8 +670,8 @@
},
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@@ -892,8 +680,8 @@
"height": 334,
"id": "openAIEmbedding_LlamaIndex_1",
"position": {
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@@ -950,17 +738,370 @@
"selected": false,
"dragging": false,
"positionAbsolute": {
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"tags": ["LlamaIndex"],
"category": "Engine",
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"name": "queryEngineTools",
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{
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{
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},
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}
],
"inputs": {
"queryEngineTools": ["{{queryEngineToolLlamaIndex_2.data.instance}}", "{{queryEngineToolLlamaIndex_1.data.instance}}"],
"model": "{{chatOpenAI_LlamaIndex_1.data.instance}}",
"embeddings": "{{openAIEmbedding_LlamaIndex_1.data.instance}}",
"responseSynthesizer": "{{compactrefineLlamaIndex_0.data.instance}}",
"returnSourceDocuments": true
},
"outputAnchors": [
{
"id": "subQuestionQueryEngine_0-output-subQuestionQueryEngine-SubQuestionQueryEngine|BaseQueryEngine",
"name": "subQuestionQueryEngine",
"label": "SubQuestionQueryEngine",
"description": "Breaks complex query into sub questions for each relevant data source, then gather all the intermediate reponses and synthesizes a final response",
"type": "SubQuestionQueryEngine | BaseQueryEngine"
}
],
"outputs": {},
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{
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"type": "stickyNote",
"data": {
@@ -985,13 +1126,14 @@
],
"inputAnchors": [],
"inputs": {
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"apple\"}"
"note": "Break questions into subqueries, then retrieve corresponding context using queryengine tools"
},
"outputAnchors": [
{
"id": "stickyNote_0-output-stickyNote-StickyNote",
"name": "stickyNote",
"label": "StickyNote",
"description": "Add a sticky note",
"type": "StickyNote"
}
],
@@ -1000,8 +1142,8 @@
},
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"positionAbsolute": {
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"x": 1208.1786832265154,
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@@ -1010,8 +1152,8 @@
"height": 82,
"id": "stickyNote_1",
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"data": {
@@ -1036,13 +1178,14 @@
],
"inputAnchors": [],
"inputs": {
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"tesla\"}"
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"<company>\"}"
},
"outputAnchors": [
{
"id": "stickyNote_1-output-stickyNote-StickyNote",
"name": "stickyNote",
"label": "StickyNote",
"description": "Add a sticky note",
"type": "StickyNote"
}
],
@@ -1051,59 +1194,8 @@
},
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"label": "Sticky Note",
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"name": "stickyNote",
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"baseClasses": ["StickyNote"],
"category": "Utilities",
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{
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"placeholder": "Type something here",
"optional": true,
"id": "stickyNote_2-input-note-string"
}
],
"inputAnchors": [],
"inputs": {
"note": "Break questions into subqueries, then retrieve corresponding context using queryengine tool.\n\nThis implementation does not contains memory, we can use OpenAI Agent to function call this flow"
},
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{
"id": "stickyNote_2-output-stickyNote-StickyNote",
"name": "stickyNote",
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@@ -1126,20 +1218,60 @@
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_1-pineconeLlamaIndex_1-input-embeddings-BaseEmbedding_LlamaIndex"
},
{
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"target": "queryEngineToolLlamaIndex_0",
"targetHandle": "queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex",
"source": "openAIEmbedding_LlamaIndex_0",
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
"target": "pineconeLlamaIndex_0",
"targetHandle": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
"type": "buttonedge",
"id": "pineconeLlamaIndex_1-pineconeLlamaIndex_1-output-vectorStore-Pinecone|VectorStoreIndex-queryEngineToolLlamaIndex_0-queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex"
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
},
{
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"id": "chatOpenAI_LlamaIndex_0-chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
},
{
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"target": "queryEngine_0",
"targetHandle": "queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever",
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"id": "pineconeLlamaIndex_1-pineconeLlamaIndex_1-output-retriever-Pinecone|VectorIndexRetriever-queryEngine_0-queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever"
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"target": "queryEngine_1",
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},
{
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"target": "queryEngineToolLlamaIndex_1",
"targetHandle": "queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine",
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"id": "queryEngine_1-queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine-queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine"
},
{
"source": "queryEngineToolLlamaIndex_2",
"sourceHandle": "queryEngineToolLlamaIndex_2-output-queryEngineToolLlamaIndex-QueryEngineTool",
"target": "subQuestionQueryEngine_0",
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
"type": "buttonedge",
"id": "queryEngineToolLlamaIndex_2-queryEngineToolLlamaIndex_2-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
},
{
"source": "queryEngineToolLlamaIndex_1",
@@ -1149,14 +1281,6 @@
"type": "buttonedge",
"id": "queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
},
{
"source": "queryEngineToolLlamaIndex_0",
"sourceHandle": "queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool",
"target": "subQuestionQueryEngine_0",
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
"type": "buttonedge",
"id": "queryEngineToolLlamaIndex_0-queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
},
{
"source": "chatOpenAI_LlamaIndex_1",
"sourceHandle": "chatOpenAI_LlamaIndex_1-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
@@ -1180,22 +1304,6 @@
"targetHandle": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer",
"type": "buttonedge",
"id": "compactrefineLlamaIndex_0-compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
},
{
"source": "openAIEmbedding_LlamaIndex_0",
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
"target": "pineconeLlamaIndex_0",
"targetHandle": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
"type": "buttonedge",
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
},
{
"source": "chatOpenAI_LlamaIndex_0",
"sourceHandle": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
"target": "pineconeLlamaIndex_0",
"targetHandle": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex",
"type": "buttonedge",
"id": "chatOpenAI_LlamaIndex_0-chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
}
]
}
packages/server/marketplaces/chatflows/Translator.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Language translation using LLM Chain with a Chat Prompt Template and Chat Model",
"categories": "Chat Prompt Template,ChatOpenAI,LLM Chain,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -117,6 +119,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -137,6 +143,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/Vectara RAG Chain.json
+3
View File
@@ -1,4 +1,7 @@
{
"description": "QA chain for Vectara",
"categories": "Vectara QA Chain,Vectara,Langchain",
"framework": "Langchain",
"nodes": [
{
"width": 300,
packages/server/marketplaces/chatflows/WebBrowser.json
+18
View File
@@ -1,5 +1,7 @@
{
"description": "Conversational Agent with ability to visit a website and extract information",
"categories": "Buffer Memory,Web Browser,ChatOpenAI,Conversational Agent",
"framework": "Langchain",
"nodes": [
{
"width": 300,
@@ -160,6 +162,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -180,6 +186,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
@@ -458,6 +468,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -478,6 +492,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/chatflows/WebPage QnA.json
+10
View File
@@ -1,5 +1,7 @@
{
"description": "Scrape web pages for QnA with long term memory Motorhead and return source documents",
"categories": "HtmlToMarkdown,Cheerio Web Scraper,ChatOpenAI,Redis,Pinecone,Langchain",
"framework": "Langchain",
"badge": "POPULAR",
"nodes": [
{
@@ -427,6 +429,10 @@
"label": "gpt-4-1106-preview",
"name": "gpt-4-1106-preview"
},
{
"label": "gpt-4-1106-vision-preview",
"name": "gpt-4-1106-vision-preview"
},
{
"label": "gpt-4-vision-preview",
"name": "gpt-4-vision-preview"
@@ -447,6 +453,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0125",
"name": "gpt-3.5-turbo-0125"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
packages/server/marketplaces/tools/Add Hubspot Contact.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "add_contact_hubspot",
"framework": "Langchain",
"description": "Add new contact to Hubspot",
"color": "linear-gradient(rgb(85,198,123), rgb(0,230,99))",
"iconSrc": "https://cdn.worldvectorlogo.com/logos/hubspot-1.svg",
packages/server/marketplaces/tools/Create Airtable Record.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "add_airtable",
"framework": "Langchain",
"description": "Add column1, column2 to Airtable",
"color": "linear-gradient(rgb(125,71,222), rgb(128,102,23))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/airtable.svg",
packages/server/marketplaces/tools/Get Current DateTime.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "todays_date_time",
"framework": "Langchain",
"description": "Useful to get todays day, date and time.",
"color": "linear-gradient(rgb(117,118,129), rgb(230,10,250))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/javascript.svg",
packages/server/marketplaces/tools/Get Stock Mover.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "get_stock_movers",
"framework": "Langchain",
"description": "Get the stocks that has biggest price/volume moves, e.g. actives, gainers, losers, etc.",
"iconSrc": "https://rapidapi.com/cdn/images?url=https://rapidapi-prod-apis.s3.amazonaws.com/9c/e743343bdd41edad39a3fdffd5b974/016c33699f51603ae6fe4420c439124b.png",
"color": "linear-gradient(rgb(191,202,167), rgb(143,202,246))",
packages/server/marketplaces/tools/Make Webhook.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "make_webhook",
"framework": "Langchain",
"description": "Useful when you need to send message to Discord",
"color": "linear-gradient(rgb(19,94,2), rgb(19,124,59))",
"iconSrc": "https://github.com/FlowiseAI/Flowise/assets/26460777/517fdab2-8a6e-4781-b3c8-fb92cc78aa0b",
packages/server/marketplaces/tools/Send Discord Message.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "send_message_to_discord_channel",
"framework": "Langchain",
"description": "Send message to Discord channel",
"color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/discord-icon.svg",
packages/server/marketplaces/tools/Send Slack Message.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "send_message_to_slack_channel",
"framework": "Langchain",
"description": "Send message to Slack channel",
"color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/slack-icon.svg",
packages/server/marketplaces/tools/Send Teams Message.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "send_message_to_teams_channel",
"framework": "Langchain",
"description": "Send message to Teams channel",
"color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/microsoft-teams.svg",
packages/server/marketplaces/tools/SendGrid Email.json
+1
View File
@@ -1,5 +1,6 @@
{
"name": "sendgrid_email",
"framework": "Langchain",
"description": "Send email using SendGrid",
"color": "linear-gradient(rgb(230,108,70), rgb(222,4,98))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/sendgrid-icon.svg",
packages/server/src/commands/start.ts
+4
View File
@@ -18,6 +18,7 @@ export default class Start extends Command {
static flags = {
FLOWISE_USERNAME: Flags.string(),
FLOWISE_PASSWORD: Flags.string(),
FLOWISE_FILE_SIZE_LIMIT: Flags.string(),
PORT: Flags.string(),
CORS_ORIGINS: Flags.string(),
IFRAME_ORIGINS: Flags.string(),
@@ -91,6 +92,9 @@ export default class Start extends Command {
if (flags.FLOWISE_PASSWORD) process.env.FLOWISE_PASSWORD = flags.FLOWISE_PASSWORD
if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH
//API Configuration
if (flags.FLOWISE_FILE_SIZE_LIMIT) process.env.FLOWISE_FILE_SIZE_LIMIT = flags.FLOWISE_FILE_SIZE_LIMIT
// Credentials
if (flags.SECRETKEY_PATH) process.env.SECRETKEY_PATH = flags.SECRETKEY_PATH
if (flags.FLOWISE_SECRETKEY_OVERWRITE) process.env.FLOWISE_SECRETKEY_OVERWRITE = flags.FLOWISE_SECRETKEY_OVERWRITE
packages/server/src/index.ts
+60 -37
View File
@@ -10,7 +10,7 @@ import logger from './utils/logger'
import { expressRequestLogger } from './utils/logger'
import { v4 as uuidv4 } from 'uuid'
import OpenAI from 'openai'
import { Between, IsNull, FindOptionsWhere } from 'typeorm'
import { FindOptionsWhere, MoreThanOrEqual, LessThanOrEqual } from 'typeorm'
import {
IChatFlow,
IncomingInput,
@@ -120,8 +120,9 @@ export class App {
async config(socketIO?: Server) {
// Limit is needed to allow sending/receiving base64 encoded string
this.app.use(express.json({ limit: '50mb' }))
this.app.use(express.urlencoded({ limit: '50mb', extended: true }))
const flowise_file_size_limit = process.env.FLOWISE_FILE_SIZE_LIMIT ?? '50mb'
this.app.use(express.json({ limit: flowise_file_size_limit }))
this.app.use(express.urlencoded({ limit: flowise_file_size_limit, extended: true }))
if (process.env.NUMBER_OF_PROXIES && parseInt(process.env.NUMBER_OF_PROXIES) > 0)
this.app.set('trust proxy', parseInt(process.env.NUMBER_OF_PROXIES))
@@ -184,7 +185,7 @@ export class App {
this.app.get('/api/v1/ip', (request, response) => {
response.send({
ip: request.ip,
msg: 'See the returned IP address in the response. If it matches your current IP address ( which you can get by going to http://ip.nfriedly.com/ or https://api.ipify.org/ ), then the number of proxies is correct and the rate limiter should now work correctly. If not, increase the number of proxies by 1 until the IP address matches your own. Visit https://docs.flowiseai.com/deployment#rate-limit-setup-guide for more information.'
msg: 'Check returned IP address in the response. If it matches your current IP address ( which you can get by going to http://ip.nfriedly.com/ or https://api.ipify.org/ ), then the number of proxies is correct and the rate limiter should now work correctly. If not, increase the number of proxies by 1 and restart Cloud-Hosted Flowise until the IP address matches your own. Visit https://docs.flowiseai.com/configuration/rate-limit#cloud-hosted-rate-limit-setup-guide for more information.'
})
})
@@ -510,6 +511,7 @@ export class App {
const chatId = req.query?.chatId as string | undefined
const memoryType = req.query?.memoryType as string | undefined
const sessionId = req.query?.sessionId as string | undefined
const messageId = req.query?.messageId as string | undefined
const startDate = req.query?.startDate as string | undefined
const endDate = req.query?.endDate as string | undefined
let chatTypeFilter = req.query?.chatType as chatType | undefined
@@ -537,7 +539,8 @@ export class App {
memoryType,
sessionId,
startDate,
endDate
endDate,
messageId
)
return res.json(chatmessages)
})
@@ -1148,8 +1151,14 @@ export class App {
this.app.get('/api/v1/fetch-links', async (req: Request, res: Response) => {
const url = decodeURIComponent(req.query.url as string)
const relativeLinksMethod = req.query.relativeLinksMethod as string
if (!relativeLinksMethod) {
return res.status(500).send('Please choose a Relative Links Method in Additional Parameters.')
}
const limit = parseInt(req.query.limit as string)
if (process.env.DEBUG === 'true') console.info(`Start ${relativeLinksMethod}`)
const links: string[] = relativeLinksMethod === 'webCrawl' ? await webCrawl(url, 0) : await xmlScrape(url, 0)
const links: string[] = relativeLinksMethod === 'webCrawl' ? await webCrawl(url, limit) : await xmlScrape(url, limit)
if (process.env.DEBUG === 'true') console.info(`Finish ${relativeLinksMethod}`)
res.json({ status: 'OK', links })
})
@@ -1223,50 +1232,52 @@ export class App {
// Marketplaces
// ----------------------------------------
// Get all chatflows for marketplaces
this.app.get('/api/v1/marketplaces/chatflows', async (req: Request, res: Response) => {
const marketplaceDir = path.join(__dirname, '..', 'marketplaces', 'chatflows')
const jsonsInDir = fs.readdirSync(marketplaceDir).filter((file) => path.extname(file) === '.json')
const templates: any[] = []
// Get all templates for marketplaces
this.app.get('/api/v1/marketplaces/templates', async (req: Request, res: Response) => {
let marketplaceDir = path.join(__dirname, '..', 'marketplaces', 'chatflows')
let jsonsInDir = fs.readdirSync(marketplaceDir).filter((file) => path.extname(file) === '.json')
let templates: any[] = []
jsonsInDir.forEach((file, index) => {
const filePath = path.join(__dirname, '..', 'marketplaces', 'chatflows', file)
const fileData = fs.readFileSync(filePath)
const fileDataObj = JSON.parse(fileData.toString())
const template = {
id: index,
name: file.split('.json')[0],
templateName: file.split('.json')[0],
flowData: fileData.toString(),
badge: fileDataObj?.badge,
framework: fileDataObj?.framework,
categories: fileDataObj?.categories,
type: 'Chatflow',
description: fileDataObj?.description || ''
}
templates.push(template)
})
marketplaceDir = path.join(__dirname, '..', 'marketplaces', 'tools')
jsonsInDir = fs.readdirSync(marketplaceDir).filter((file) => path.extname(file) === '.json')
jsonsInDir.forEach((file, index) => {
const filePath = path.join(__dirname, '..', 'marketplaces', 'tools', file)
const fileData = fs.readFileSync(filePath)
const fileDataObj = JSON.parse(fileData.toString())
const template = {
...fileDataObj,
id: index,
type: 'Tool',
framework: fileDataObj?.framework,
badge: fileDataObj?.badge,
categories: '',
templateName: file.split('.json')[0]
}
templates.push(template)
})
const FlowiseDocsQnA = templates.find((tmp) => tmp.name === 'Flowise Docs QnA')
const FlowiseDocsQnAIndex = templates.findIndex((tmp) => tmp.name === 'Flowise Docs QnA')
if (FlowiseDocsQnA && FlowiseDocsQnAIndex > 0) {
templates.splice(FlowiseDocsQnAIndex, 1)
templates.unshift(FlowiseDocsQnA)
}
return res.json(templates)
})
// Get all tools for marketplaces
this.app.get('/api/v1/marketplaces/tools', async (req: Request, res: Response) => {
const marketplaceDir = path.join(__dirname, '..', 'marketplaces', 'tools')
const jsonsInDir = fs.readdirSync(marketplaceDir).filter((file) => path.extname(file) === '.json')
const templates: any[] = []
jsonsInDir.forEach((file, index) => {
const filePath = path.join(__dirname, '..', 'marketplaces', 'tools', file)
const fileData = fs.readFileSync(filePath)
const fileDataObj = JSON.parse(fileData.toString())
const template = {
...fileDataObj,
id: index,
templateName: file.split('.json')[0]
}
templates.push(template)
})
return res.json(templates)
return res.json(templates.sort((a, b) => a.templateName.localeCompare(b.templateName)))
})
// ----------------------------------------
@@ -1431,22 +1442,34 @@ export class App {
memoryType?: string,
sessionId?: string,
startDate?: string,
endDate?: string
endDate?: string,
messageId?: string
): Promise<ChatMessage[]> {
const setDateToStartOrEndOfDay = (dateTimeStr: string, setHours: 'start' | 'end') => {
const date = new Date(dateTimeStr)
if (isNaN(date.getTime())) {
return undefined
}
setHours === 'start' ? date.setHours(0, 0, 0, 0) : date.setHours(23, 59, 59, 999)
return date
}
let fromDate
if (startDate) fromDate = new Date(startDate)
if (startDate) fromDate = setDateToStartOrEndOfDay(startDate, 'start')
let toDate
if (endDate) toDate = new Date(endDate)
if (endDate) toDate = setDateToStartOrEndOfDay(endDate, 'end')
return await this.AppDataSource.getRepository(ChatMessage).find({
where: {
chatflowid,
chatType,
chatId,
memoryType: memoryType ?? (chatId ? IsNull() : undefined),
memoryType: memoryType ?? undefined,
sessionId: sessionId ?? undefined,
createdDate: toDate && fromDate ? Between(fromDate, toDate) : undefined
...(fromDate && { createdDate: MoreThanOrEqual(fromDate) }),
...(toDate && { createdDate: LessThanOrEqual(toDate) }),
id: messageId ?? undefined
},
order: {
createdDate: sortOrder === 'DESC' ? 'DESC' : 'ASC'