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Merge branch 'main' into FEATURE/Vision

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# Conflicts:
#	packages/components/nodes/chains/ConversationChain/ConversationChain.ts
#	packages/server/src/index.ts
#	packages/server/src/utils/index.ts
This commit is contained in:
Henry
2024-02-02 02:54:06 +00:00
parent eab8c19f8c 37828de664
commit 9cd0362f24
136 changed files with 5054 additions and 2019 deletions
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packages/server/.env.example
+5
View File
@@ -1,4 +1,6 @@
PORT=3000
# CORS_ORIGINS="*"
# IFRAME_ORIGINS="*"
# DATABASE_PATH=/your_database_path/.flowise
# APIKEY_PATH=/your_api_key_path/.flowise
# SECRETKEY_PATH=/your_api_key_path/.flowise
@@ -13,6 +15,7 @@ PORT=3000
# DATABASE_USER=""
# DATABASE_PASSWORD=""
# DATABASE_SSL=true
# DATABASE_SSL_KEY_BASE64=<Self signed certificate in BASE64>
# FLOWISE_USERNAME=user
# FLOWISE_PASSWORD=1234
@@ -26,3 +29,5 @@ PORT=3000
# LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
# LANGCHAIN_API_KEY=your_api_key
# LANGCHAIN_PROJECT=your_project
# DISABLE_FLOWISE_TELEMETRY=true
packages/server/marketplaces/chatflows/API Agent OpenAI.json
+42 -2
View File
@@ -88,7 +88,7 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -111,6 +111,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -127,6 +143,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -407,7 +427,7 @@
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -430,6 +450,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -446,6 +482,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/API Agent.json
+63 -3
View File
@@ -396,7 +396,7 @@
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -419,6 +419,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -435,6 +451,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -567,7 +587,7 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -590,6 +610,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -606,6 +642,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -738,7 +778,7 @@
"data": {
"id": "chatOpenAI_3",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -761,6 +801,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -777,6 +833,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Antonym.json
+32 -2
View File
@@ -175,7 +175,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -198,6 +198,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -214,6 +230,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -381,13 +401,23 @@
"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": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/AutoGPT.json
+91 -6
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@@ -251,7 +251,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -274,6 +274,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -290,6 +306,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -422,7 +442,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -436,6 +456,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -474,7 +516,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -506,12 +549,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 2,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -552,6 +595,45 @@
"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": [
@@ -576,7 +658,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/BabyAGI.json
+79 -6
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@@ -77,7 +77,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -91,6 +91,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -129,7 +151,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -161,12 +184,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 2,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -207,6 +230,45 @@
"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": [
@@ -231,7 +293,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -279,7 +344,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -302,6 +367,14 @@
"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"
packages/server/marketplaces/chatflows/CSV Agent.json
+21 -1
View File
@@ -70,7 +70,7 @@
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"version": 3,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@@ -92,6 +92,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -108,6 +124,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Chat with a Podcast.json
+46 -3
View File
@@ -194,7 +194,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -217,6 +217,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -233,6 +249,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -440,7 +460,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -454,6 +474,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -492,7 +534,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/ChatGPTPlugin.json
+21 -1
View File
@@ -215,7 +215,7 @@
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"version": 3,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@@ -237,6 +237,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -253,6 +269,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Claude LLM.json
+172 -97
View File
@@ -6,15 +6,15 @@
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 451.4449437285705,
"y": 118.30026803362762
"x": 240.5161028076149,
"y": 165.35849026339048
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@@ -53,8 +53,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 451.4449437285705,
"y": 118.30026803362762
"x": 240.5161028076149,
"y": 165.35849026339048
},
"dragging": false
},
@@ -63,17 +63,17 @@
"height": 383,
"id": "conversationChain_0",
"position": {
"x": 1176.1569322079652,
"y": 303.56879146735974
"x": 958.9887390513221,
"y": 318.8734467468765
},
"type": "customNode",
"data": {
"id": "conversationChain_0",
"label": "Conversation Chain",
"version": 3,
"name": "conversationChain",
"version": 1,
"type": "ConversationChain",
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain"],
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Chat models specific conversational chain with memory",
"inputParams": [
@@ -82,9 +82,11 @@
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"description": "If Chat Prompt Template is provided, this will be ignored",
"additionalParams": true,
"optional": true,
"placeholder": "You are a helpful assistant that write codes",
"default": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"placeholder": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"id": "conversationChain_0-input-systemMessagePrompt-string"
}
],
@@ -102,27 +104,36 @@
"id": "conversationChain_0-input-memory-BaseMemory"
},
{
"label": "Document",
"name": "document",
"type": "Document",
"description": "Include whole document into the context window",
"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": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
},
{
"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": "conversationChain_0-input-document-Document"
"id": "conversationChain_0-input-inputModeration-Moderation"
}
],
"inputs": {
"inputModeration": "",
"model": "{{chatAnthropic_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"document": ["{{pdfFile_0.data.instance}}"],
"systemMessagePrompt": ""
"chatPromptTemplate": "{{chatPromptTemplate_0.data.instance}}",
"systemMessagePrompt": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."
},
"outputAnchors": [
{
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain",
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain|Runnable",
"name": "conversationChain",
"label": "ConversationChain",
"type": "ConversationChain | LLMChain | BaseChain"
"type": "ConversationChain | LLMChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -130,27 +141,27 @@
},
"selected": false,
"positionAbsolute": {
"x": 1176.1569322079652,
"y": 303.56879146735974
"x": 958.9887390513221,
"y": 318.8734467468765
},
"dragging": false
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatAnthropic_0",
"position": {
"x": 800.5525382783799,
"y": -130.7988221837009
"x": 585.3308245972187,
"y": -116.32789506560908
},
"type": "customNode",
"data": {
"id": "chatAnthropic_0",
"label": "ChatAnthropic",
"name": "chatAnthropic",
"version": 3,
"name": "chatAnthropic",
"type": "ChatAnthropic",
"baseClasses": ["ChatAnthropic", "BaseChatModel", "BaseLanguageModel"],
"baseClasses": ["ChatAnthropic", "BaseChatModel", "BaseLanguageModel", "Runnable"],
"category": "Chat Models",
"description": "Wrapper around ChatAnthropic large language models that use the Chat endpoint",
"inputParams": [
@@ -226,7 +237,7 @@
"name": "claude-instant-v1.1-100k"
}
],
"default": "claude-v1",
"default": "claude-2",
"optional": true,
"id": "chatAnthropic_0-input-modelName-options"
},
@@ -234,6 +245,7 @@
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatAnthropic_0-input-temperature-number"
@@ -242,6 +254,7 @@
"label": "Max Tokens",
"name": "maxTokensToSample",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-maxTokensToSample-number"
@@ -250,6 +263,7 @@
"label": "Top P",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-topP-number"
@@ -258,6 +272,7 @@
"label": "Top K",
"name": "topK",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-topK-number"
@@ -273,6 +288,7 @@
}
],
"inputs": {
"cache": "",
"modelName": "claude-2.1",
"temperature": 0.9,
"maxTokensToSample": "",
@@ -281,10 +297,10 @@
},
"outputAnchors": [
{
"id": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel",
"id": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel|Runnable",
"name": "chatAnthropic",
"label": "ChatAnthropic",
"type": "ChatAnthropic | BaseChatModel | BaseLanguageModel"
"type": "ChatAnthropic | BaseChatModel | BaseLanguageModel | Runnable"
}
],
"outputs": {},
@@ -292,61 +308,106 @@
},
"selected": false,
"positionAbsolute": {
"x": 800.5525382783799,
"y": -130.7988221837009
"x": 585.3308245972187,
"y": -116.32789506560908
},
"dragging": false
},
{
"width": 300,
"height": 507,
"id": "pdfFile_0",
"height": 688,
"id": "chatPromptTemplate_0",
"position": {
"x": 94.16886576108482,
"y": 37.12056504707391
"x": -106.44189698270114,
"y": 20.133956087516538
},
"type": "customNode",
"data": {
"id": "pdfFile_0",
"label": "Pdf File",
"name": "pdfFile",
"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": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\nThe AI has the following context:\n{context}",
"humanMessagePrompt": "{input}",
"promptValues": "{\"context\":\"{{plainText_0.data.instance}}\",\"input\":\"{{question}}\"}"
},
"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": -106.44189698270114,
"y": 20.133956087516538
},
"dragging": false
},
{
"width": 300,
"height": 485,
"id": "plainText_0",
"position": {
"x": -487.7511991135089,
"y": 77.83838996645807
},
"type": "customNode",
"data": {
"id": "plainText_0",
"label": "Plain Text",
"version": 2,
"name": "plainText",
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from PDF files",
"description": "Load data from plain text",
"inputParams": [
{
"label": "Pdf File",
"name": "pdfFile",
"type": "file",
"fileType": ".pdf",
"id": "pdfFile_0-input-pdfFile-file"
},
{
"label": "Usage",
"name": "usage",
"type": "options",
"options": [
{
"label": "One document per page",
"name": "perPage"
},
{
"label": "One document per file",
"name": "perFile"
}
],
"default": "perPage",
"id": "pdfFile_0-input-usage-options"
},
{
"label": "Use Legacy Build",
"name": "legacyBuild",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "pdfFile_0-input-legacyBuild-boolean"
"label": "Text",
"name": "text",
"type": "string",
"rows": 4,
"placeholder": "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua...",
"id": "plainText_0-input-text-string"
},
{
"label": "Metadata",
@@ -354,7 +415,7 @@
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pdfFile_0-input-metadata-json"
"id": "plainText_0-input-metadata-json"
}
],
"inputAnchors": [
@@ -363,30 +424,45 @@
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "pdfFile_0-input-textSplitter-TextSplitter"
"id": "plainText_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"text": "Welcome to Skyworld Hotel, where your dreams take flight and your stay soars to new heights. Nestled amidst breathtaking cityscape views, our upscale establishment offers an unparalleled blend of luxury and comfort. Our rooms are elegantly appointed, featuring modern amenities and plush furnishings to ensure your relaxation.\n\nIndulge in culinary delights at our rooftop restaurant, offering a gastronomic journey with panoramic vistas. Skyworld Hotel boasts state-of-the-art conference facilities, perfect for business travelers, and an inviting spa for relaxation seekers. Our attentive staff is dedicated to ensuring your every need is met, making your stay memorable.\n\nCentrally located, we offer easy access to local attractions, making us an ideal choice for both leisure and business travelers. Experience the world of hospitality like never before at Skyworld Hotel.",
"textSplitter": "",
"usage": "perPage",
"legacyBuild": "",
"metadata": ""
},
"outputAnchors": [
{
"id": "pdfFile_0-output-pdfFile-Document",
"name": "pdfFile",
"label": "Document",
"type": "Document"
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "plainText_0-output-document-Document",
"name": "document",
"label": "Document",
"type": "Document"
},
{
"id": "plainText_0-output-text-string|json",
"name": "text",
"label": "Text",
"type": "string | json"
}
],
"default": "document"
}
],
"outputs": {},
"outputs": {
"output": "text"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 94.16886576108482,
"y": 37.12056504707391
"x": -487.7511991135089,
"y": 77.83838996645807
},
"dragging": false
}
@@ -398,32 +474,31 @@
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-memory-BaseMemory",
"type": "buttonedge",
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory",
"data": {
"label": ""
}
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory"
},
{
"source": "chatAnthropic_0",
"sourceHandle": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel",
"sourceHandle": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatAnthropic_0-chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel-conversationChain_0-conversationChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
"id": "chatAnthropic_0-chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel|Runnable-conversationChain_0-conversationChain_0-input-model-BaseChatModel"
},
{
"source": "pdfFile_0",
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-document-Document",
"source": "plainText_0",
"sourceHandle": "plainText_0-output-text-string|json",
"target": "chatPromptTemplate_0",
"targetHandle": "chatPromptTemplate_0-input-promptValues-json",
"type": "buttonedge",
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-conversationChain_0-conversationChain_0-input-document-Document",
"data": {
"label": ""
}
"id": "plainText_0-plainText_0-output-text-string|json-chatPromptTemplate_0-chatPromptTemplate_0-input-promptValues-json"
},
{
"source": "chatPromptTemplate_0",
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate",
"type": "buttonedge",
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-conversationChain_0-conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
}
]
}
packages/server/marketplaces/chatflows/Conversational Agent.json
+21 -1
View File
@@ -156,7 +156,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -179,6 +179,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -195,6 +211,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json
+88 -7
View File
@@ -14,7 +14,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -28,6 +28,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -66,7 +88,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -194,6 +217,13 @@
"rows": 3,
"placeholder": "Searches and returns documents regarding the state-of-the-union.",
"id": "retrieverTool_0-input-description-string"
},
{
"label": "Return Source Documents",
"name": "returnSourceDocuments",
"type": "boolean",
"optional": true,
"id": "retrieverTool_0-input-returnSourceDocuments-boolean"
}
],
"inputAnchors": [
@@ -207,7 +237,8 @@
"inputs": {
"name": "search_website",
"description": "Searches and return documents regarding Jane - a culinary institution that offers top quality coffee, pastries, breakfast, lunch, and a variety of baked goods. They have multiple locations, including Jane on Fillmore, Jane on Larkin, Jane the Bakery, Toy Boat By Jane, and Little Jane on Grant. They emphasize healthy eating with a focus on flavor and quality ingredients. They bake everything in-house and work with local suppliers to source ingredients directly from farmers. They also offer catering services and delivery options.",
"retriever": "{{pinecone_0.data.instance}}"
"retriever": "{{pinecone_0.data.instance}}",
"returnSourceDocuments": true
},
"outputAnchors": [
{
@@ -296,12 +327,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 2,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -342,6 +373,45 @@
"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": [
@@ -366,7 +436,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -414,7 +487,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -437,6 +510,14 @@
"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"
packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json
+79 -6
View File
@@ -14,7 +14,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -28,6 +28,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -66,7 +88,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -346,7 +369,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -369,6 +392,14 @@
"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"
@@ -536,12 +567,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 2,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -582,6 +613,45 @@
"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": [
@@ -606,7 +676,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Flowise Docs QnA.json
+46 -3
View File
@@ -376,7 +376,7 @@
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"version": 3,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@@ -398,6 +398,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -414,6 +430,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -547,7 +567,7 @@
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"name": "openAIEmbeddings",
"version": 1,
"version": 2,
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
@@ -560,6 +580,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -598,7 +640,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/HuggingFace LLM Chain.json
+11 -1
View File
@@ -234,13 +234,23 @@
"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": "{{huggingFaceInference_LLMs_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/IfElse.json
+33 -5
View File
@@ -489,13 +489,23 @@
"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": "{{openAI_1.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": "FirstChain"
"chainName": "FirstChain",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -578,13 +588,23 @@
"type": "BaseLLMOutputParser",
"optional": true,
"id": "llmChain_1-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_1-input-inputModeration-Moderation"
}
],
"inputs": {
"model": "{{openAI_2.data.instance}}",
"prompt": "{{promptTemplate_1.data.instance}}",
"outputParser": "",
"chainName": "LastChain"
"chainName": "LastChain",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -742,8 +762,8 @@
"model": "{{chatOpenAI_0.data.instance}}",
"prompt": "{{promptTemplate_2.data.instance}}",
"outputParser": "",
"inputModeration": "",
"chainName": "FallbackChain"
"chainName": "FallbackChain",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -888,7 +908,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -911,6 +931,14 @@
"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"
packages/server/marketplaces/chatflows/Image Generation.json
+31 -3
View File
@@ -289,13 +289,23 @@
"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": "{{replicate_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -378,13 +388,23 @@
"type": "BaseLLMOutputParser",
"optional": true,
"id": "llmChain_1-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_1-input-inputModeration-Moderation"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"prompt": "{{promptTemplate_1.data.instance}}",
"outputParser": "",
"chainName": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -432,7 +452,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -455,6 +475,14 @@
"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"
packages/server/marketplaces/chatflows/Input Moderation.json
+9 -1
View File
@@ -164,7 +164,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -187,6 +187,14 @@
"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"
packages/server/marketplaces/chatflows/List Output Parser.json
+32 -2
View File
@@ -49,13 +49,23 @@
"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": "{{promptTemplate_0.data.instance}}",
"outputParser": "{{csvOutputParser_0.data.instance}}",
"chainName": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -213,7 +223,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -236,6 +246,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -252,6 +278,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Long Term Memory.json
+34 -3
View File
@@ -112,7 +112,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -126,6 +126,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -164,7 +186,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -483,7 +506,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -506,6 +529,14 @@
"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"
packages/server/marketplaces/chatflows/Metadata Filter.json
+79 -6
View File
@@ -346,7 +346,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -360,6 +360,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -398,7 +420,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -430,7 +453,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -453,6 +476,14 @@
"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"
@@ -620,12 +651,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 2,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -666,6 +697,45 @@
"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": [
@@ -690,7 +760,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "{\"id\":{\"$in\":[\"doc1\",\"doc2\"]}}",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Multi Prompt Chain.json
+21 -1
View File
@@ -278,7 +278,7 @@
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"version": 3,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@@ -300,6 +300,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -316,6 +332,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json
+122 -7
View File
@@ -281,7 +281,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -295,6 +295,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -333,7 +355,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -365,7 +388,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -388,6 +411,14 @@
"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"
@@ -555,12 +586,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 2,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -601,6 +632,45 @@
"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": [
@@ -625,7 +695,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
@@ -840,6 +913,45 @@
"additionalParams": true,
"optional": true,
"id": "supabase_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": [
@@ -865,7 +977,10 @@
"tableName": "",
"queryName": "",
"supabaseMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Multiple VectorDB.json
+77 -7
View File
@@ -271,7 +271,7 @@
"data": {
"id": "openAIEmbeddings_1",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -285,6 +285,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_1-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_1-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -323,7 +345,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -355,7 +378,7 @@
"data": {
"id": "openAIEmbeddings_2",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -369,6 +392,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_2-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_2-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -407,7 +452,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -439,7 +485,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -462,6 +508,14 @@
"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"
@@ -949,7 +1003,7 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -972,6 +1026,14 @@
"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"
@@ -1139,7 +1201,7 @@
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -1162,6 +1224,14 @@
"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"
packages/server/marketplaces/chatflows/OpenAI Agent.json
+21 -1
View File
@@ -279,7 +279,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -302,6 +302,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -318,6 +334,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/Prompt Chaining with VectorStore.json
+67 -8
View File
@@ -190,10 +190,10 @@
"type": "options",
"options": [
{
"id": "vectorStoreToDocument_0-output-document-Document",
"id": "vectorStoreToDocument_0-output-document-Document|json",
"name": "document",
"label": "Document",
"type": "Document"
"type": "Document | json"
},
{
"id": "vectorStoreToDocument_0-output-text-string|json",
@@ -264,13 +264,23 @@
"type": "BaseLLMOutputParser",
"optional": true,
"id": "llmChain_2-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_2-input-inputModeration-Moderation"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": "RephraseQuestion"
"chainName": "RephraseQuestion",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -353,13 +363,23 @@
"type": "BaseLLMOutputParser",
"optional": true,
"id": "llmChain_1-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_1-input-inputModeration-Moderation"
}
],
"inputs": {
"model": "{{chatOpenAI_1.data.instance}}",
"prompt": "{{chatPromptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": "FinalResponse"
"chainName": "FinalResponse",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -407,7 +427,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -430,6 +450,14 @@
"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"
@@ -597,7 +625,7 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -620,6 +648,14 @@
"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"
@@ -934,7 +970,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -948,6 +984,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -986,7 +1044,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Prompt Chaining.json
+22 -2
View File
@@ -488,13 +488,23 @@
"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": "{{openAI_1.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": "FirstChain"
"chainName": "FirstChain",
"inputModeration": ""
},
"outputAnchors": [
{
@@ -577,13 +587,23 @@
"type": "BaseLLMOutputParser",
"optional": true,
"id": "llmChain_1-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_1-input-inputModeration-Moderation"
}
],
"inputs": {
"model": "{{openAI_2.data.instance}}",
"prompt": "{{promptTemplate_1.data.instance}}",
"outputParser": "",
"chainName": "LastChain"
"chainName": "LastChain",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/ReAct Agent.json
+9 -1
View File
@@ -99,7 +99,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -122,6 +122,14 @@
"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"
packages/server/marketplaces/chatflows/Replicate LLM.json
+11 -1
View File
@@ -227,13 +227,23 @@
"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": "{{replicate_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/SQL DB Chain.json
+21 -1
View File
@@ -13,7 +13,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -36,6 +36,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -52,6 +68,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/SQL Prompt.json
+27 -3
View File
@@ -173,7 +173,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -196,6 +196,14 @@
"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"
@@ -363,7 +371,7 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -386,6 +394,14 @@
"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"
@@ -1279,7 +1295,7 @@
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -1302,6 +1318,14 @@
"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"
packages/server/marketplaces/chatflows/Simple Conversation Chain.json
+233 -201
View File
@@ -2,20 +2,218 @@
"description": "Basic example of Conversation Chain with built-in memory - works exactly like ChatGPT",
"badge": "POPULAR",
"nodes": [
{
"width": 300,
"height": 574,
"id": "chatOpenAI_0",
"position": {
"x": 579.0877964395976,
"y": -138.68792413227874
},
"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-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-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": "gpt-3.5-turbo-16k",
"temperature": 0.9,
"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": 579.0877964395976,
"y": -138.68792413227874
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 753.4300788823234,
"y": 479.5336426526603
"x": 220.30240896145915,
"y": 351.61324070296877
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@@ -54,179 +252,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 753.4300788823234,
"y": 479.5336426526603
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 754.8942497823595,
"y": -140
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"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": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"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-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",
"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"
}
],
"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": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 754.8942497823595,
"y": -140
"x": 220.30240896145915,
"y": 351.61324070296877
},
"dragging": false
},
@@ -235,17 +262,17 @@
"height": 383,
"id": "conversationChain_0",
"position": {
"x": 1174.6496397666272,
"y": 311.1052536740497
"x": 958.9887390513221,
"y": 318.8734467468765
},
"type": "customNode",
"data": {
"id": "conversationChain_0",
"label": "Conversation Chain",
"version": 3,
"name": "conversationChain",
"version": 1,
"type": "ConversationChain",
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain"],
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Chat models specific conversational chain with memory",
"inputParams": [
@@ -254,9 +281,11 @@
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"description": "If Chat Prompt Template is provided, this will be ignored",
"additionalParams": true,
"optional": true,
"placeholder": "You are a helpful assistant that write codes",
"default": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"placeholder": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
"id": "conversationChain_0-input-systemMessagePrompt-string"
}
],
@@ -274,27 +303,36 @@
"id": "conversationChain_0-input-memory-BaseMemory"
},
{
"label": "Document",
"name": "document",
"type": "Document",
"description": "Include whole document into the context window",
"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": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
},
{
"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": "conversationChain_0-input-document-Document"
"id": "conversationChain_0-input-inputModeration-Moderation"
}
],
"inputs": {
"inputModeration": "",
"model": "{{chatOpenAI_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"document": "",
"systemMessagePrompt": ""
"chatPromptTemplate": "",
"systemMessagePrompt": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."
},
"outputAnchors": [
{
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain",
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain|Runnable",
"name": "conversationChain",
"label": "ConversationChain",
"type": "ConversationChain | LLMChain | BaseChain"
"type": "ConversationChain | LLMChain | BaseChain | Runnable"
}
],
"outputs": {},
@@ -302,8 +340,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 1174.6496397666272,
"y": 311.1052536740497
"x": 958.9887390513221,
"y": 318.8734467468765
},
"dragging": false
}
@@ -311,14 +349,11 @@
"edges": [
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationChain_0-conversationChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationChain_0-conversationChain_0-input-model-BaseChatModel"
},
{
"source": "bufferMemory_0",
@@ -326,10 +361,7 @@
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-memory-BaseMemory",
"type": "buttonedge",
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory",
"data": {
"label": ""
}
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory"
}
]
}
packages/server/marketplaces/chatflows/Simple LLM Chain.json
+11 -1
View File
@@ -268,13 +268,23 @@
"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": "{{openAI_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"outputParser": "",
"chainName": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Structured Output Parser.json
+32 -2
View File
@@ -14,7 +14,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -37,6 +37,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -53,6 +69,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -227,13 +247,23 @@
"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": ""
"chainName": "",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Translator.json
+32 -2
View File
@@ -82,7 +82,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -105,6 +105,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -121,6 +137,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -288,13 +308,23 @@
"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"
"chainName": "Language Translation",
"inputModeration": ""
},
"outputAnchors": [
{
packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json
-461
View File
@@ -1,461 +0,0 @@
{
"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded files",
"nodes": [
{
"width": 300,
"height": 574,
"id": "chatOpenAI_0",
"position": {
"x": 581.1784360612766,
"y": -229.3906666911439
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 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"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"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-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",
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"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
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"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": {
"modelName": "gpt-3.5-turbo",
"temperature": "0.6",
"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": 581.1784360612766,
"y": -229.3906666911439
},
"dragging": false
},
{
"width": 300,
"height": 480,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 979.9713511176517,
"y": 200.09513217589273
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 2,
"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"
},
{
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"additionalParams": true,
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},
{
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"name": "vectorStore",
"label": "Vectara Vector Store",
"type": "Vectara | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "retriever"
},
"selected": false
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"positionAbsolute": {
"x": 199.28476672510158,
"y": 177.63260741741112
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packages/server/marketplaces/chatflows/Vectara RAG Chain.json
+385
View File
@@ -0,0 +1,385 @@
{
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{
"width": 300,
"height": 520,
"id": "vectaraQAChain_0",
"position": {
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"category": "Chains",
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"inputParams": [
{
"label": "Summarizer Prompt Name",
"name": "summarizerPromptName",
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"type": "options",
"options": [
{
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{
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{
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"type": "options",
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{
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"name": "eng"
},
{
"label": "German",
"name": "deu"
},
{
"label": "French",
"name": "fra"
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{
"label": "Chinese",
"name": "zho"
},
{
"label": "Korean",
"name": "kor"
},
{
"label": "Arabic",
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},
{
"label": "Russian",
"name": "rus"
},
{
"label": "Thai",
"name": "tha"
},
{
"label": "Dutch",
"name": "nld"
},
{
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},
{
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},
{
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},
{
"label": "Japanese",
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},
{
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"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",
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},
{
"label": "Max Summarized Results",
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}
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"label": "Vectara Store",
"name": "vectaraStore",
"type": "VectorStore",
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}
],
"inputs": {
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"summarizerPromptName": "vectara-experimental-summary-ext-2023-10-23-small",
"responseLang": "eng",
"maxSummarizedResults": 7
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},
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"id": "vectara_1-input-mmrK-number"
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"optional": true,
"id": "vectara_1-input-mmrDiversityBias-number"
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"name": "vectorStore",
"label": "Vectara Vector Store",
"type": "Vectara | VectorStore"
}
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"type": "buttonedge",
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packages/server/marketplaces/chatflows/WebBrowser.json
+67 -4
View File
@@ -125,7 +125,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -148,6 +148,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -164,6 +180,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
@@ -296,7 +316,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -310,6 +330,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -348,7 +390,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -380,7 +423,7 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
@@ -403,6 +446,22 @@
"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-vision-preview",
"name": "gpt-4-vision-preview"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
@@ -419,6 +478,10 @@
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-1106",
"name": "gpt-3.5-turbo-1106"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
packages/server/marketplaces/chatflows/WebPage QnA.json
+79 -6
View File
@@ -14,7 +14,7 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"version": 2,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
@@ -28,6 +28,28 @@
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-embedding-3-large",
"name": "text-embedding-3-large"
},
{
"label": "text-embedding-3-small",
"name": "text-embedding-3-small"
},
{
"label": "text-embedding-ada-002",
"name": "text-embedding-ada-002"
}
],
"default": "text-embedding-ada-002",
"optional": true,
"id": "openAIEmbeddings_0-input-modelName-options"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
@@ -66,7 +88,8 @@
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
"basepath": "",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
@@ -369,7 +392,7 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 2,
"version": 3,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
@@ -392,6 +415,14 @@
"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"
@@ -638,12 +669,12 @@
"data": {
"id": "pinecone_0",
"label": "Pinecone",
"version": 1,
"version": 3,
"name": "pinecone",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
"description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
"inputParams": [
{
"label": "Connect Credential",
@@ -684,6 +715,45 @@
"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": [
@@ -708,7 +778,10 @@
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
"topK": "",
"searchType": "similarity",
"fetchK": "",
"lambda": ""
},
"outputAnchors": [
{
packages/server/package.json
+2 -1
View File
@@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.4.9",
"version": "1.4.12",
"description": "Flowiseai Server",
"main": "dist/index",
"types": "dist/index.d.ts",
@@ -60,6 +60,7 @@
"multer": "^1.4.5-lts.1",
"mysql": "^2.18.1",
"pg": "^8.11.1",
"posthog-node": "^3.5.0",
"reflect-metadata": "^0.1.13",
"sanitize-html": "^2.11.0",
"socket.io": "^4.6.1",
packages/server/src/DataSource.ts
+22 -4
View File
@@ -1,5 +1,6 @@
import 'reflect-metadata'
import path from 'path'
import * as fs from 'fs'
import { DataSource } from 'typeorm'
import { getUserHome } from './utils'
import { entities } from './database/entities'
@@ -11,9 +12,13 @@ let appDataSource: DataSource
export const init = async (): Promise<void> => {
let homePath
let flowisePath = path.join(getUserHome(), '.flowise')
if (!fs.existsSync(flowisePath)) {
fs.mkdirSync(flowisePath)
}
switch (process.env.DATABASE_TYPE) {
case 'sqlite':
homePath = process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise')
homePath = process.env.DATABASE_PATH ?? flowisePath
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
@@ -35,7 +40,8 @@ export const init = async (): Promise<void> => {
synchronize: false,
migrationsRun: false,
entities: Object.values(entities),
migrations: mysqlMigrations
migrations: mysqlMigrations,
ssl: getDatabaseSSLFromEnv()
})
break
case 'postgres':
@@ -46,7 +52,7 @@ export const init = async (): Promise<void> => {
username: process.env.DATABASE_USER,
password: process.env.DATABASE_PASSWORD,
database: process.env.DATABASE_NAME,
ssl: process.env.DATABASE_SSL === 'true',
ssl: getDatabaseSSLFromEnv(),
synchronize: false,
migrationsRun: false,
entities: Object.values(entities),
@@ -54,7 +60,7 @@ export const init = async (): Promise<void> => {
})
break
default:
homePath = process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise')
homePath = process.env.DATABASE_PATH ?? flowisePath
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
@@ -73,3 +79,15 @@ export function getDataSource(): DataSource {
}
return appDataSource
}
const getDatabaseSSLFromEnv = () => {
if (process.env.DATABASE_SSL_KEY_BASE64) {
return {
rejectUnauthorized: false,
ca: Buffer.from(process.env.DATABASE_SSL_KEY_BASE64, 'base64')
}
} else if (process.env.DATABASE_SSL === 'true') {
return true
}
return undefined
}
packages/server/src/Interface.ts
+2 -2
View File
@@ -1,4 +1,4 @@
import { ICommonObject, INode, INodeData as INodeDataFromComponent, INodeParams } from 'flowise-components'
import { ICommonObject, IFileUpload, INode, INodeData as INodeDataFromComponent, INodeParams } from 'flowise-components'
export type MessageType = 'apiMessage' | 'userMessage'
@@ -177,7 +177,7 @@ export interface IncomingInput {
socketIOClientId?: string
chatId?: string
stopNodeId?: string
uploads?: string
uploads?: IFileUpload[]
}
export interface IActiveChatflows {
packages/server/src/commands/start.ts
+11 -1
View File
@@ -19,6 +19,8 @@ export default class Start extends Command {
FLOWISE_USERNAME: Flags.string(),
FLOWISE_PASSWORD: Flags.string(),
PORT: Flags.string(),
CORS_ORIGINS: Flags.string(),
IFRAME_ORIGINS: Flags.string(),
DEBUG: Flags.string(),
APIKEY_PATH: Flags.string(),
SECRETKEY_PATH: Flags.string(),
@@ -36,10 +38,12 @@ export default class Start extends Command {
DATABASE_USER: Flags.string(),
DATABASE_PASSWORD: Flags.string(),
DATABASE_SSL: Flags.string(),
DATABASE_SSL_KEY_BASE64: Flags.string(),
LANGCHAIN_TRACING_V2: Flags.string(),
LANGCHAIN_ENDPOINT: Flags.string(),
LANGCHAIN_API_KEY: Flags.string(),
LANGCHAIN_PROJECT: Flags.string()
LANGCHAIN_PROJECT: Flags.string(),
DISABLE_FLOWISE_TELEMETRY: Flags.string()
}
async stopProcess() {
@@ -77,6 +81,8 @@ export default class Start extends Command {
const { flags } = await this.parse(Start)
if (flags.PORT) process.env.PORT = flags.PORT
if (flags.CORS_ORIGINS) process.env.CORS_ORIGINS = flags.CORS_ORIGINS
if (flags.IFRAME_ORIGINS) process.env.IFRAME_ORIGINS = flags.IFRAME_ORIGINS
if (flags.DEBUG) process.env.DEBUG = flags.DEBUG
if (flags.NUMBER_OF_PROXIES) process.env.NUMBER_OF_PROXIES = flags.NUMBER_OF_PROXIES
@@ -106,6 +112,7 @@ export default class Start extends Command {
if (flags.DATABASE_USER) process.env.DATABASE_USER = flags.DATABASE_USER
if (flags.DATABASE_PASSWORD) process.env.DATABASE_PASSWORD = flags.DATABASE_PASSWORD
if (flags.DATABASE_SSL) process.env.DATABASE_SSL = flags.DATABASE_SSL
if (flags.DATABASE_SSL_KEY_BASE64) process.env.DATABASE_SSL_KEY_BASE64 = flags.DATABASE_SSL_KEY_BASE64
// Langsmith tracing
if (flags.LANGCHAIN_TRACING_V2) process.env.LANGCHAIN_TRACING_V2 = flags.LANGCHAIN_TRACING_V2
@@ -113,6 +120,9 @@ export default class Start extends Command {
if (flags.LANGCHAIN_API_KEY) process.env.LANGCHAIN_API_KEY = flags.LANGCHAIN_API_KEY
if (flags.LANGCHAIN_PROJECT) process.env.LANGCHAIN_PROJECT = flags.LANGCHAIN_PROJECT
// Telemetry
if (flags.DISABLE_FLOWISE_TELEMETRY) process.env.DISABLE_FLOWISE_TELEMETRY = flags.DISABLE_FLOWISE_TELEMETRY
await (async () => {
try {
logger.info('Starting Flowise...')
packages/server/src/index.ts
+208 -78
View File
@@ -47,7 +47,9 @@ import {
getAllConnectedNodes,
clearSessionMemory,
findMemoryNode,
deleteFolderRecursive
deleteFolderRecursive,
getTelemetryFlowObj,
getAppVersion
} from './utils'
import { cloneDeep, omit, uniqWith, isEqual } from 'lodash'
import { getDataSource } from './DataSource'
@@ -66,14 +68,18 @@ import {
INodeParams,
handleEscapeCharacters,
convertSpeechToText,
xmlScrape,
webCrawl,
getStoragePath,
IFileUpload
} from 'flowise-components'
import { createRateLimiter, getRateLimiter, initializeRateLimiter } from './utils/rateLimit'
import { addAPIKey, compareKeys, deleteAPIKey, getApiKey, getAPIKeys, updateAPIKey } from './utils/apiKey'
import { sanitizeMiddleware } from './utils/XSS'
import { sanitizeMiddleware, getCorsOptions, getAllowedIframeOrigins } from './utils/XSS'
import axios from 'axios'
import { Client } from 'langchainhub'
import { parsePrompt } from './utils/hub'
import { Telemetry } from './utils/telemetry'
import { Variable } from './database/entities/Variable'
export class App {
@@ -81,6 +87,7 @@ export class App {
nodesPool: NodesPool
chatflowPool: ChatflowPool
cachePool: CachePool
telemetry: Telemetry
AppDataSource = getDataSource()
constructor() {
@@ -115,6 +122,9 @@ export class App {
// Initialize cache pool
this.cachePool = new CachePool()
// Initialize telemetry
this.telemetry = new Telemetry()
})
.catch((err) => {
logger.error('❌ [server]: Error during Data Source initialization:', err)
@@ -129,8 +139,20 @@ export class App {
if (process.env.NUMBER_OF_PROXIES && parseInt(process.env.NUMBER_OF_PROXIES) > 0)
this.app.set('trust proxy', parseInt(process.env.NUMBER_OF_PROXIES))
// Allow access from *
this.app.use(cors())
// Allow access from specified domains
this.app.use(cors(getCorsOptions()))
// Allow embedding from specified domains.
this.app.use((req, res, next) => {
const allowedOrigins = getAllowedIframeOrigins()
if (allowedOrigins == '*') {
next()
} else {
const csp = `frame-ancestors ${allowedOrigins}`
res.setHeader('Content-Security-Policy', csp)
next()
}
})
// Switch off the default 'X-Powered-By: Express' header
this.app.disable('x-powered-by')
@@ -306,7 +328,13 @@ export class App {
const nodeModule = await import(nodeInstanceFilePath)
const newNodeInstance = new nodeModule.nodeClass()
const returnData = await newNodeInstance.init(nodeData)
const options: ICommonObject = {
appDataSource: this.AppDataSource,
databaseEntities,
logger
}
const returnData = await newNodeInstance.init(nodeData, '', options)
const result = typeof returnData === 'string' ? handleEscapeCharacters(returnData, true) : returnData
return res.json(result)
@@ -394,6 +422,12 @@ export class App {
const chatflow = this.AppDataSource.getRepository(ChatFlow).create(newChatFlow)
const results = await this.AppDataSource.getRepository(ChatFlow).save(chatflow)
await this.telemetry.sendTelemetry('chatflow_created', {
version: await getAppVersion(),
chatlowId: results.id,
flowGraph: getTelemetryFlowObj(JSON.parse(results.flowData)?.nodes, JSON.parse(results.flowData)?.edges)
})
return res.json(results)
})
@@ -433,11 +467,11 @@ export class App {
const results = await this.AppDataSource.getRepository(ChatFlow).delete({ id: req.params.id })
try {
/* Delete all multimodal uploads corresponding to this chatflow */
const directory = path.join(getUserHome(), '.flowise', 'gptvision', req.params.id)
// Delete all uploads corresponding to this chatflow
const directory = path.join(getStoragePath(), req.params.id)
deleteFolderRecursive(directory)
} catch (e) {
logger.error(`[server]: Error deleting multimodal uploads: ${e}`)
logger.error(`[server]: Error deleting file storage for chatflow ${req.params.id}: ${e}`)
}
return res.json(results)
@@ -463,18 +497,25 @@ export class App {
const endingNodes = nodes.filter((nd) => endingNodeIds.includes(nd.id))
let isStreaming = false
let isEndingNodeExists = endingNodes.find((node) => node.data?.outputs?.output === 'EndingNode')
for (const endingNode of endingNodes) {
const endingNodeData = endingNode.data
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNode.id} data not found`)
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
const isEndingNode = endingNodeData?.outputs?.output === 'EndingNode'
if (!isEndingNode) {
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
}
isStreaming = isFlowValidForStream(nodes, endingNodeData)
isStreaming = isEndingNode ? false : isFlowValidForStream(nodes, endingNodeData)
}
const obj = { isStreaming }
// Once custom function ending node exists, flow is always unavailable to stream
const obj = { isStreaming: isEndingNodeExists ? false : isStreaming }
return res.json(obj)
})
@@ -490,43 +531,55 @@ export class App {
try {
const flowObj = JSON.parse(chatflow.flowData)
const allowances: IUploadFileSizeAndTypes[] = []
let allowSpeechToText = false
const imgUploadSizeAndTypes: IUploadFileSizeAndTypes[] = []
let isSpeechToTextEnabled = false
if (chatflow.speechToText) {
const speechToTextProviders = JSON.parse(chatflow.speechToText)
for (const provider in speechToTextProviders) {
const providerObj = speechToTextProviders[provider]
if (providerObj.status) {
allowSpeechToText = true
isSpeechToTextEnabled = true
break
}
}
}
let allowImageUploads = false
flowObj.nodes.forEach((node: IReactFlowNode) => {
if (uploadProcessingNodes.indexOf(node.data.name) > -1) {
logger.debug(`[server]: Found Eligible Node ${node.data.type}, Allowing Uploads.`)
let isImageUploadAllowed = false
const nodes: IReactFlowNode[] = flowObj.nodes
// there could be multiple components allowing uploads, so we check if it's already added
/*
* Condition for isImageUploadAllowed
* 1.) one of the uploadAllowedNodes exists
* 2.) one of the uploadProcessingNodes exists + allowImageUploads is ON
*/
if (!nodes.some((node) => uploadAllowedNodes.includes(node.data.name))) {
return res.json({
isSpeechToTextEnabled,
isImageUploadAllowed: false,
imgUploadSizeAndTypes
})
}
nodes.forEach((node: IReactFlowNode) => {
if (uploadProcessingNodes.indexOf(node.data.name) > -1) {
// TODO: for now the maxUploadSize is hardcoded to 5MB, we need to add it to the node properties
node.data.inputParams.map((param: INodeParams) => {
if (param.name === 'allowImageUploads' && node.data.inputs?.['allowImageUploads']) {
allowances.push({
imgUploadSizeAndTypes.push({
fileTypes: 'image/gif;image/jpeg;image/png;image/webp;'.split(';'),
maxUploadSize: 5
})
isImageUploadAllowed = true
}
})
} else if (uploadAllowedNodes.indexOf(node.data.name) > -1 && !allowImageUploads) {
allowImageUploads = true
}
})
return res.json({
allowSpeechToText: allowSpeechToText,
isUploadAllowed: allowImageUploads,
uploadFileSizeAndTypes: allowances
isSpeechToTextEnabled,
isImageUploadAllowed,
imgUploadSizeAndTypes
})
} catch (e) {
return res.status(500).send(e)
@@ -628,12 +681,14 @@ export class App {
if (sessionId) deleteOptions.sessionId = sessionId
if (chatType) deleteOptions.chatType = chatType
try {
/* Delete all multimodal uploads corresponding to this chatflow */
const directory = path.join(getUserHome(), '.flowise', 'gptvision', chatflowid)
deleteFolderRecursive(directory)
} catch (e) {
logger.error(`[server]: Error deleting multimodal uploads: ${e}`)
// Delete all uploads corresponding to this chatflow/chatId
if (chatId) {
try {
const directory = path.join(getStoragePath(), chatflowid, chatId)
deleteFolderRecursive(directory)
} catch (e) {
logger.error(`[server]: Error deleting file storage for chatflow ${chatflowid}, chatId ${chatId}: ${e}`)
}
}
const results = await this.AppDataSource.getRepository(ChatMessage).delete(deleteOptions)
@@ -752,6 +807,12 @@ export class App {
const tool = this.AppDataSource.getRepository(Tool).create(newTool)
const results = await this.AppDataSource.getRepository(Tool).save(tool)
await this.telemetry.sendTelemetry('tool_created', {
version: await getAppVersion(),
toolId: results.id,
toolName: results.name
})
return res.json(results)
})
@@ -958,6 +1019,11 @@ export class App {
const assistant = this.AppDataSource.getRepository(Assistant).create(newAssistant)
const results = await this.AppDataSource.getRepository(Assistant).save(assistant)
await this.telemetry.sendTelemetry('assistant_created', {
version: await getAppVersion(),
assistantId: results.id
})
return res.json(results)
})
@@ -1121,25 +1187,38 @@ export class App {
if (filePath.includes('..')) return res.status(500).send(`Invalid file path`)
//only return from the .flowise openai-assistant folder
if (!(filePath.includes('.flowise') && filePath.includes('openai-assistant'))) return res.status(500).send(`Invalid file path`)
res.setHeader('Content-Disposition', 'attachment; filename=' + path.basename(filePath))
streamFileToUser(res, filePath)
if (fs.existsSync(filePath)) {
res.setHeader('Content-Disposition', 'attachment; filename=' + path.basename(filePath))
streamFileToUser(res, filePath)
} else {
return res.status(404).send(`File ${req.body.fileName} not found`)
}
})
// stream uploaded image
this.app.get('/api/v1/get-upload-file/:id', async (req: Request, res: Response) => {
if (!req.params.id || !req.query.chatId) {
this.app.get('/api/v1/get-upload-file', async (req: Request, res: Response) => {
if (!req.query.chatflowId || !req.query.chatId || !req.query.fileName) {
return res.status(500).send(`Invalid file path`)
}
const filePath = path.join(getUserHome(), '.flowise', 'gptvision', req.query.chatId as string, req.params.id)
const chatflowId = req.query.chatflowId as string
const chatId = req.query.chatId as string
const fileName = req.query.fileName as string
const filePath = path.join(getStoragePath(), chatflowId, chatId, fileName)
//raise error if file path is not absolute
if (!path.isAbsolute(filePath)) return res.status(500).send(`Invalid file path`)
//raise error if file path contains '..'
if (filePath.includes('..')) return res.status(500).send(`Invalid file path`)
//only return from the .flowise gptvision folder
if (!(filePath.includes('.flowise') && filePath.includes('gptvision') && filePath.includes(req.query.chatId as string)))
return res.status(500).send(`Invalid file path`)
res.setHeader('Content-Disposition', 'attachment; filename=' + path.basename(filePath))
streamFileToUser(res, filePath)
//only return from the storage folder
if (!filePath.startsWith(getStoragePath())) return res.status(500).send(`Invalid file path`)
if (fs.existsSync(filePath)) {
res.setHeader('Content-Disposition', 'attachment; filename=' + path.basename(filePath))
streamFileToUser(res, filePath)
} else {
return res.status(404).send(`File ${fileName} not found`)
}
})
// ----------------------------------------
@@ -1192,6 +1271,19 @@ export class App {
}
})
// ----------------------------------------
// Scraper
// ----------------------------------------
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 (process.env.DEBUG === 'true') console.info(`Start ${relativeLinksMethod}`)
const links: string[] = relativeLinksMethod === 'webCrawl' ? await webCrawl(url, 0) : await xmlScrape(url, 0)
res.json({ status: 'OK', links })
})
// ----------------------------------------
// Upsert
// ----------------------------------------
@@ -1553,6 +1645,11 @@ export class App {
let chatId = incomingInput.chatId ?? ''
let isUpsert = true
// Get session ID
const memoryNode = findMemoryNode(nodes, edges)
let sessionId = undefined
if (memoryNode) sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal)
const vsNodes = nodes.filter(
(node) =>
node.data.category === 'Vector Stores' &&
@@ -1590,6 +1687,7 @@ export class App {
incomingInput.question,
chatHistory,
chatId,
sessionId ?? '',
chatflowid,
this.AppDataSource,
incomingInput?.overrideConfig,
@@ -1601,6 +1699,15 @@ export class App {
const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.data.id))
this.chatflowPool.add(chatflowid, undefined, startingNodes, incomingInput?.overrideConfig)
await this.telemetry.sendTelemetry('vector_upserted', {
version: await getAppVersion(),
chatlowId: chatflowid,
type: isInternal ? chatType.INTERNAL : chatType.EXTERNAL,
flowGraph: getTelemetryFlowObj(nodes, edges),
stopNodeId
})
return res.status(201).send('Successfully Upserted')
} catch (e: any) {
logger.error('[server]: Error:', e)
@@ -1636,29 +1743,30 @@ export class App {
if (!isKeyValidated) return res.status(401).send('Unauthorized')
}
let fileUploads: IFileUpload[] = []
if (incomingInput.uploads) {
// @ts-ignore
const uploads = incomingInput.uploads as IFileUpload[]
for (const upload of uploads) {
if (upload.type === 'file' || upload.type === 'audio') {
fileUploads = incomingInput.uploads
for (let i = 0; i < fileUploads.length; i += 1) {
const upload = fileUploads[i]
if ((upload.type === 'file' || upload.type === 'audio') && upload.data) {
const filename = upload.name
const dir = path.join(getUserHome(), '.flowise', 'gptvision', chatflowid)
const dir = path.join(getStoragePath(), chatflowid, chatId)
if (!fs.existsSync(dir)) {
fs.mkdirSync(dir, { recursive: true })
}
const filePath = path.join(dir, filename)
const splitDataURI = upload.data.split(',')
const bf = Buffer.from(splitDataURI.pop() || '', 'base64')
//writes data to a file, replacing the file if it already exists.
fs.writeFileSync(filePath, bf)
// don't need to store the file contents in chatmessage, just the filename and chatId
upload.data = chatflowid
// Omit upload.data since we don't store the content in database
upload.type = 'stored-file'
fileUploads[i] = omit(upload, ['data'])
}
// Run Speech to Text conversion
if (upload.mime === 'audio/webm' && incomingInput.uploads?.length === 1) {
//speechToText
let speechToTextConfig: any = {}
let speechToTextConfig: ICommonObject = {}
if (chatflow.speechToText) {
const speechToTextProviders = JSON.parse(chatflow.speechToText)
for (const provider in speechToTextProviders) {
@@ -1672,6 +1780,8 @@ export class App {
}
if (speechToTextConfig) {
const options: ICommonObject = {
chatId,
chatflowid,
appDataSource: this.AppDataSource,
databaseEntities: databaseEntities
}
@@ -1715,6 +1825,12 @@ export class App {
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
// Get session ID
const memoryNode = findMemoryNode(nodes, edges)
const memoryType = memoryNode?.data.label
let sessionId = undefined
if (memoryNode) sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal)
/* Reuse the flow without having to rebuild (to avoid duplicated upsert, recomputation, reinitialization of memory) when all these conditions met:
* - Node Data already exists in pool
* - Still in sync (i.e the flow has not been modified since)
@@ -1750,29 +1866,39 @@ export class App {
if (!endingNodeIds.length) return res.status(500).send(`Ending nodes not found`)
const endingNodes = nodes.filter((nd) => endingNodeIds.includes(nd.id))
let isEndingNodeExists = endingNodes.find((node) => node.data?.outputs?.output === 'EndingNode')
for (const endingNode of endingNodes) {
const endingNodeData = endingNode.data
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNode.id} data not found`)
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
const isEndingNode = endingNodeData?.outputs?.output === 'EndingNode'
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
return res
.status(500)
.send(
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
)
if (!isEndingNode) {
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs ?? {}).includes(endingNodeData.name)
) {
return res
.status(500)
.send(
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
)
}
}
isStreamValid = isFlowValidForStream(nodes, endingNodeData)
}
// Once custom function ending node exists, flow is always unavailable to stream
isStreamValid = isEndingNodeExists ? false : isStreamValid
let chatHistory: IMessage[] = incomingInput.history ?? []
// When {{chat_history}} is used in Prompt Template, fetch the chat conversations from memory node
@@ -1824,6 +1950,7 @@ export class App {
incomingInput.question,
chatHistory,
chatId,
sessionId ?? '',
chatflowid,
this.AppDataSource,
incomingInput?.overrideConfig,
@@ -1853,12 +1980,6 @@ export class App {
logger.debug(`[server]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
const memoryNode = findMemoryNode(nodes, edges)
const memoryType = memoryNode?.data.label
let sessionId = undefined
if (memoryNode) sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal)
const nodeInstanceFilePath = this.nodesPool.componentNodes[nodeToExecuteData.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const nodeInstance = new nodeModule.nodeClass({ sessionId })
@@ -1903,7 +2024,7 @@ export class App {
memoryType,
sessionId,
createdDate: userMessageDateTime,
fileUploads: incomingInput.uploads ? JSON.stringify(incomingInput.uploads) : ''
fileUploads: incomingInput.uploads ? JSON.stringify(fileUploads) : undefined
}
await this.addChatMessage(userMessage)
@@ -1924,12 +2045,22 @@ export class App {
if (result?.sourceDocuments) apiMessage.sourceDocuments = JSON.stringify(result.sourceDocuments)
if (result?.usedTools) apiMessage.usedTools = JSON.stringify(result.usedTools)
if (result?.fileAnnotations) apiMessage.fileAnnotations = JSON.stringify(result.fileAnnotations)
await this.addChatMessage(apiMessage)
const chatMessage = await this.addChatMessage(apiMessage)
logger.debug(`[server]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
await this.telemetry.sendTelemetry('prediction_sent', {
version: await getAppVersion(),
chatlowId: chatflowid,
chatId,
type: isInternal ? chatType.INTERNAL : chatType.EXTERNAL,
flowGraph: getTelemetryFlowObj(nodes, edges)
})
// Only return ChatId when its Internal OR incoming input has ChatId, to avoid confusion when calling API
if (incomingInput.chatId || isInternal) result.chatId = chatId
// Prepare response
result.chatId = chatId
result.chatMessageId = chatMessage.id
if (sessionId) result.sessionId = sessionId
if (memoryType) result.memoryType = memoryType
return res.json(result)
} catch (e: any) {
@@ -1941,6 +2072,7 @@ export class App {
async stopApp() {
try {
const removePromises: any[] = []
removePromises.push(this.telemetry.flush())
await Promise.all(removePromises)
} catch (e) {
logger.error(`❌[server]: Flowise Server shut down error: ${e}`)
@@ -1961,9 +2093,7 @@ export async function start(): Promise<void> {
const server = http.createServer(serverApp.app)
const io = new Server(server, {
cors: {
origin: '*'
}
cors: getCorsOptions()
})
await serverApp.initDatabase()
packages/server/src/utils/XSS.ts
+25
View File
@@ -18,3 +18,28 @@ export function sanitizeMiddleware(req: Request, res: Response, next: NextFuncti
}
next()
}
export function getAllowedCorsOrigins(): string {
// Expects FQDN separated by commas, otherwise nothing or * for all.
return process.env.CORS_ORIGINS ?? '*'
}
export function getCorsOptions(): any {
const corsOptions = {
origin: function (origin: string | undefined, callback: (err: Error | null, allow?: boolean) => void) {
const allowedOrigins = getAllowedCorsOrigins()
if (!origin || allowedOrigins == '*' || allowedOrigins.indexOf(origin) !== -1) {
callback(null, true)
} else {
callback(null, false)
}
}
}
return corsOptions
}
export function getAllowedIframeOrigins(): string {
// Expects FQDN separated by commas, otherwise nothing or * for all.
// Also CSP allowed values: self or none
return process.env.IFRAME_ORIGINS ?? '*'
}
packages/server/src/utils/index.ts
+77 -6
View File
@@ -273,6 +273,7 @@ export const buildLangchain = async (
question: string,
chatHistory: IMessage[],
chatId: string,
sessionId: string,
chatflowid: string,
appDataSource: DataSource,
overrideConfig?: ICommonObject,
@@ -317,6 +318,7 @@ export const buildLangchain = async (
logger.debug(`[server]: Upserting ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
await newNodeInstance.vectorStoreMethods!['upsert']!.call(newNodeInstance, reactFlowNodeData, {
chatId,
sessionId,
chatflowid,
chatHistory,
logger,
@@ -331,6 +333,7 @@ export const buildLangchain = async (
logger.debug(`[server]: Initializing ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
let outputResult = await newNodeInstance.init(reactFlowNodeData, question, {
chatId,
sessionId,
chatflowid,
chatHistory,
logger,
@@ -607,28 +610,35 @@ export const resolveVariables = (
export const replaceInputsWithConfig = (flowNodeData: INodeData, overrideConfig: ICommonObject) => {
const types = 'inputs'
const getParamValues = (paramsObj: ICommonObject) => {
const getParamValues = (inputsObj: ICommonObject) => {
for (const config in overrideConfig) {
// If overrideConfig[key] is object
if (overrideConfig[config] && typeof overrideConfig[config] === 'object') {
const nodeIds = Object.keys(overrideConfig[config])
if (nodeIds.includes(flowNodeData.id)) {
paramsObj[config] = overrideConfig[config][flowNodeData.id]
inputsObj[config] = overrideConfig[config][flowNodeData.id]
continue
} else if (nodeIds.some((nodeId) => nodeId.includes(flowNodeData.name))) {
/*
* "systemMessagePrompt": {
* "chatPromptTemplate_0": "You are an assistant" <---- continue for loop if current node is chatPromptTemplate_1
* }
*/
continue
}
}
let paramValue = overrideConfig[config] ?? paramsObj[config]
let paramValue = overrideConfig[config] ?? inputsObj[config]
// Check if boolean
if (paramValue === 'true') paramValue = true
else if (paramValue === 'false') paramValue = false
paramsObj[config] = paramValue
inputsObj[config] = paramValue
}
}
const paramsObj = flowNodeData[types] ?? {}
const inputsObj = flowNodeData[types] ?? {}
getParamValues(paramsObj)
getParamValues(inputsObj)
return flowNodeData
}
@@ -1079,6 +1089,10 @@ export const getAllValuesFromJson = (obj: any): any[] => {
return values
}
/**
* Delete file & folder recursively
* @param {string} directory
*/
export const deleteFolderRecursive = (directory: string) => {
if (fs.existsSync(directory)) {
fs.readdir(directory, (error, files) => {
@@ -1102,3 +1116,60 @@ export const deleteFolderRecursive = (directory: string) => {
})
}
}
/**
* Get only essential flow data items for telemetry
* @param {IReactFlowNode[]} nodes
* @param {IReactFlowEdge[]} edges
*/
export const getTelemetryFlowObj = (nodes: IReactFlowNode[], edges: IReactFlowEdge[]) => {
const nodeData = nodes.map((node) => node.id)
const edgeData = edges.map((edge) => ({ source: edge.source, target: edge.target }))
return { nodes: nodeData, edges: edgeData }
}
/**
* Get user settings file
* TODO: move env variables to settings json file, easier configuration
*/
export const getUserSettingsFilePath = () => {
if (process.env.SECRETKEY_PATH) return path.join(process.env.SECRETKEY_PATH, 'settings.json')
const checkPaths = [path.join(getUserHome(), '.flowise', 'settings.json')]
for (const checkPath of checkPaths) {
if (fs.existsSync(checkPath)) {
return checkPath
}
}
return ''
}
/**
* Get app current version
*/
export const getAppVersion = async () => {
const getPackageJsonPath = (): string => {
const checkPaths = [
path.join(__dirname, '..', 'package.json'),
path.join(__dirname, '..', '..', 'package.json'),
path.join(__dirname, '..', '..', '..', 'package.json'),
path.join(__dirname, '..', '..', '..', '..', 'package.json'),
path.join(__dirname, '..', '..', '..', '..', '..', 'package.json')
]
for (const checkPath of checkPaths) {
if (fs.existsSync(checkPath)) {
return checkPath
}
}
return ''
}
const packagejsonPath = getPackageJsonPath()
if (!packagejsonPath) return ''
try {
const content = await fs.promises.readFile(packagejsonPath, 'utf8')
const parsedContent = JSON.parse(content)
return parsedContent.version
} catch (error) {
return ''
}
}
packages/server/src/utils/telemetry.ts
+52
View File
@@ -0,0 +1,52 @@
import { v4 as uuidv4 } from 'uuid'
import { PostHog } from 'posthog-node'
import path from 'path'
import fs from 'fs'
import { getUserHome, getUserSettingsFilePath } from '.'
export class Telemetry {
postHog?: PostHog
constructor() {
if (process.env.DISABLE_FLOWISE_TELEMETRY !== 'true') {
this.postHog = new PostHog('phc_jEDuFYnOnuXsws986TLWzuisbRjwFqTl9JL8tDMgqme')
} else {
this.postHog = undefined
}
}
async id(): Promise<string> {
try {
const settingsContent = await fs.promises.readFile(getUserSettingsFilePath(), 'utf8')
const settings = JSON.parse(settingsContent)
return settings.instanceId
} catch (error) {
const instanceId = uuidv4()
const settings = {
instanceId
}
const defaultLocation = process.env.SECRETKEY_PATH
? path.join(process.env.SECRETKEY_PATH, 'settings.json')
: path.join(getUserHome(), '.flowise', 'settings.json')
await fs.promises.writeFile(defaultLocation, JSON.stringify(settings, null, 2))
return instanceId
}
}
async sendTelemetry(event: string, properties = {}): Promise<void> {
if (this.postHog) {
const distinctId = await this.id()
this.postHog.capture({
event,
distinctId,
properties
})
}
}
async flush(): Promise<void> {
if (this.postHog) {
await this.postHog.shutdownAsync()
}
}
}