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Merge pull request #547 from FlowiseAI/feature/Credential

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Feature/Credential
This commit is contained in:
Henry Heng
2023-07-28 16:22:57 +01:00
committed by GitHub
parent dd0f3161eb 05dd23b01d
commit a817ab669a
224 changed files with 12777 additions and 7270 deletions
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packages/server/.env.example
+7 -5
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@@ -1,19 +1,21 @@
PORT=3000
OVERRIDE_DATABASE=true
DATABASE_TYPE=sqlite
PASSPHRASE=MYPASSPHRASE # Passphrase used to create encryption key
# DATABASE_PATH=/your_database_path/.flowise
# When database is not sqlite
# APIKEY_PATH=/your_api_key_path/.flowise
# SECRETKEY_PATH=/your_api_key_path/.flowise
# LOG_PATH=/your_log_path/.flowise/logs
# DATABASE_TYPE=postgres
# DATABASE_PORT=""
# DATABASE_HOST=""
# DATABASE_NAME="flowise"
# DATABASE_USER=""
# DATABASE_PASSWORD=""
# OVERRIDE_DATABASE=true
# FLOWISE_USERNAME=user
# FLOWISE_PASSWORD=1234
# DEBUG=true
# APIKEY_PATH=/your_api_key_path/.flowise
# LOG_PATH=/your_log_path/.flowise/logs
# LOG_LEVEL=debug (error | warn | info | verbose | debug)
# EXECUTION_MODE=main (child | main)
# TOOL_FUNCTION_BUILTIN_DEP=crypto,fs
packages/server/README.md
+1 -22
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@@ -31,28 +31,7 @@ FLOWISE_PASSWORD=1234
## 🌱 Env Variables
Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder. Read [more](https://docs.flowiseai.com/environment-variables)
| Variable | Description | Type | Default |
| ---------------- | ---------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- |
| PORT | The HTTP port Flowise runs on | Number | 3000 |
| FLOWISE_USERNAME | Username to login | String | |
| FLOWISE_PASSWORD | Password to login | String | |
| DEBUG | Print logs from components | Boolean | |
| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` |
| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` |
| APIKEY_PATH | Location where api keys are saved | String | `your-path/Flowise/packages/server` |
| EXECUTION_MODE | Whether predictions run in their own process or the main process | Enum String: `child`, `main` | `main` |
| TOOL_FUNCTION_BUILTIN_DEP | NodeJS built-in modules to be used for Tool Function | String | |
| TOOL_FUNCTION_EXTERNAL_DEP | External modules to be used for Tool Function | String | |
| OVERRIDE_DATABASE | Override current database with default | Enum String: `true`, `false` | `true` |
| DATABASE_TYPE | Type of database to store the flowise data | Enum String: `sqlite`, `mysql`, `postgres` | `sqlite` |
| DATABASE_PATH | Location where database is saved (When DATABASE_TYPE is sqlite) | String | `your-home-dir/.flowise` |
| DATABASE_HOST | Host URL or IP address (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PORT | Database port (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_USERNAME | Database username (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PASSWORD | Database password (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_NAME | Database name (When DATABASE_TYPE is not sqlite) | String | |
Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder. Read [more](https://github.com/FlowiseAI/Flowise/blob/main/CONTRIBUTING.md#-env-variables)
You can also specify the env variables when using `npx`. For example:
packages/server/marketplaces/chatflows/API Agent OpenAI.json
+650
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@@ -0,0 +1,650 @@
{
"description": "Use OpenAI Function Agent and Chain to automatically decide which API to call, generating url and body request from conversation",
"nodes": [
{
"width": 300,
"height": 510,
"id": "openApiChain_1",
"position": {
"x": 1203.1825726424859,
"y": 300.7226683414998
},
"type": "customNode",
"data": {
"id": "openApiChain_1",
"label": "OpenAPI Chain",
"name": "openApiChain",
"version": 1,
"type": "OpenAPIChain",
"baseClasses": ["OpenAPIChain", "BaseChain"],
"category": "Chains",
"description": "Chain that automatically select and call APIs based only on an OpenAPI spec",
"inputParams": [
{
"label": "YAML Link",
"name": "yamlLink",
"type": "string",
"placeholder": "https://api.speak.com/openapi.yaml",
"description": "If YAML link is provided, uploaded YAML File will be ignored and YAML link will be used instead",
"id": "openApiChain_1-input-yamlLink-string"
},
{
"label": "YAML File",
"name": "yamlFile",
"type": "file",
"fileType": ".yaml",
"description": "If YAML link is provided, uploaded YAML File will be ignored and YAML link will be used instead",
"id": "openApiChain_1-input-yamlFile-file"
},
{
"label": "Headers",
"name": "headers",
"type": "json",
"additionalParams": true,
"optional": true,
"id": "openApiChain_1-input-headers-json"
}
],
"inputAnchors": [
{
"label": "ChatOpenAI Model",
"name": "model",
"type": "ChatOpenAI",
"id": "openApiChain_1-input-model-ChatOpenAI"
}
],
"inputs": {
"model": "{{chatOpenAI_1.data.instance}}",
"yamlLink": "https://gist.githubusercontent.com/roaldnefs/053e505b2b7a807290908fe9aa3e1f00/raw/0a212622ebfef501163f91e23803552411ed00e4/openapi.yaml",
"headers": ""
},
"outputAnchors": [
{
"id": "openApiChain_1-output-openApiChain-OpenAPIChain|BaseChain",
"name": "openApiChain",
"label": "OpenAPIChain",
"type": "OpenAPIChain | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1203.1825726424859,
"y": 300.7226683414998
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_1",
"position": {
"x": 792.3201947594027,
"y": 293.61889966751846
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 1,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_1-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "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_1-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 792.3201947594027,
"y": 293.61889966751846
},
"dragging": false
},
{
"width": 300,
"height": 602,
"id": "chainTool_0",
"position": {
"x": 1635.3466862861876,
"y": 272.3189405402944
},
"type": "customNode",
"data": {
"id": "chainTool_0",
"label": "Chain Tool",
"name": "chainTool",
"version": 1,
"type": "ChainTool",
"baseClasses": ["ChainTool", "DynamicTool", "Tool", "StructuredTool"],
"category": "Tools",
"description": "Use a chain as allowed tool for agent",
"inputParams": [
{
"label": "Chain Name",
"name": "name",
"type": "string",
"placeholder": "state-of-union-qa",
"id": "chainTool_0-input-name-string"
},
{
"label": "Chain Description",
"name": "description",
"type": "string",
"rows": 3,
"placeholder": "State of the Union QA - useful for when you need to ask questions about the most recent state of the union address.",
"id": "chainTool_0-input-description-string"
},
{
"label": "Return Direct",
"name": "returnDirect",
"type": "boolean",
"optional": true,
"id": "chainTool_0-input-returnDirect-boolean"
}
],
"inputAnchors": [
{
"label": "Base Chain",
"name": "baseChain",
"type": "BaseChain",
"id": "chainTool_0-input-baseChain-BaseChain"
}
],
"inputs": {
"name": "comic-qa",
"description": "useful for when you need to ask question about comic",
"returnDirect": "",
"baseChain": "{{openApiChain_1.data.instance}}"
},
"outputAnchors": [
{
"id": "chainTool_0-output-chainTool-ChainTool|DynamicTool|Tool|StructuredTool",
"name": "chainTool",
"label": "ChainTool",
"type": "ChainTool | DynamicTool | Tool | StructuredTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1635.3466862861876,
"y": 272.3189405402944
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "openAIFunctionAgent_0",
"position": {
"x": 2076.1829525256576,
"y": 706.1299276365058
},
"type": "customNode",
"data": {
"id": "openAIFunctionAgent_0",
"label": "OpenAI Function Agent",
"name": "openAIFunctionAgent",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call",
"inputParams": [
{
"label": "System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"optional": true,
"additionalParams": true,
"id": "openAIFunctionAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "openAIFunctionAgent_0-input-tools-Tool"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "openAIFunctionAgent_0-input-memory-BaseChatMemory"
},
{
"label": "OpenAI Chat Model",
"name": "model",
"description": "Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target=\"_blank\" href=\"https://platform.openai.com/docs/guides/gpt/function-calling\">docs</a> for more info",
"type": "BaseChatModel",
"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
}
],
"inputs": {
"tools": ["{{chainTool_0.data.instance}}"],
"memory": "{{bufferMemory_0.data.instance}}",
"model": "{{chatOpenAI_2.data.instance}}",
"systemMessage": ""
},
"outputAnchors": [
{
"id": "openAIFunctionAgent_0-output-openAIFunctionAgent-AgentExecutor|BaseChain",
"name": "openAIFunctionAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 2076.1829525256576,
"y": 706.1299276365058
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_2",
"position": {
"x": 1645.450699499575,
"y": 992.6341744217375
},
"type": "customNode",
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 1,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_2-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "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_2-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_2-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_2-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_2-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_2-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_2-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_2-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_2-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1645.450699499575,
"y": 992.6341744217375
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 1148.8461056155377,
"y": 967.8215757228843
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
"inputParams": [
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"id": "bufferMemory_0-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"id": "bufferMemory_0-input-inputKey-string"
}
],
"inputAnchors": [],
"inputs": {
"memoryKey": "chat_history",
"inputKey": "input"
},
"outputAnchors": [
{
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1148.8461056155377,
"y": 967.8215757228843
},
"selected": false
}
],
"edges": [
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openApiChain_1",
"targetHandle": "openApiChain_1-input-model-ChatOpenAI",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-openApiChain_1-openApiChain_1-input-model-ChatOpenAI",
"data": {
"label": ""
}
},
{
"source": "openApiChain_1",
"sourceHandle": "openApiChain_1-output-openApiChain-OpenAPIChain|BaseChain",
"target": "chainTool_0",
"targetHandle": "chainTool_0-input-baseChain-BaseChain",
"type": "buttonedge",
"id": "openApiChain_1-openApiChain_1-output-openApiChain-OpenAPIChain|BaseChain-chainTool_0-chainTool_0-input-baseChain-BaseChain",
"data": {
"label": ""
}
},
{
"source": "chainTool_0",
"sourceHandle": "chainTool_0-output-chainTool-ChainTool|DynamicTool|Tool|StructuredTool",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-tools-Tool",
"type": "buttonedge",
"id": "chainTool_0-chainTool_0-output-chainTool-ChainTool|DynamicTool|Tool|StructuredTool-openAIFunctionAgent_0-openAIFunctionAgent_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_2",
"sourceHandle": "chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_2-chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-openAIFunctionAgent_0-openAIFunctionAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}
},
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-memory-BaseChatMemory",
"type": "buttonedge",
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-openAIFunctionAgent_0-openAIFunctionAgent_0-input-memory-BaseChatMemory",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/API Agent.json
+518 -512
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packages/server/marketplaces/chatflows/Antonym.json
+259 -255
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@@ -14,6 +14,7 @@
"id": "fewShotPromptTemplate_1",
"label": "Few Shot Prompt Template",
"name": "fewShotPromptTemplate",
"version": 1,
"type": "FewShotPromptTemplate",
"baseClasses": ["FewShotPromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
@@ -102,239 +103,6 @@
},
"dragging": false
},
{
"width": 300,
"height": 524,
"id": "openAI_1",
"position": {
"x": 1224.5139327142097,
"y": -30.864315286062364
},
"type": "customNode",
"data": {
"id": "openAI_1",
"label": "OpenAI",
"name": "openAI",
"type": "OpenAI",
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel", "BaseLangChain"],
"category": "LLMs",
"description": "Wrapper around OpenAI large language models",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "openAI_1-input-openAIApiKey-password"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "text-davinci-003",
"name": "text-davinci-003"
},
{
"label": "text-davinci-002",
"name": "text-davinci-002"
},
{
"label": "text-curie-001",
"name": "text-curie-001"
},
{
"label": "text-babbage-001",
"name": "text-babbage-001"
}
],
"default": "text-davinci-003",
"optional": true,
"id": "openAI_1-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.7,
"optional": true,
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@@ -348,6 +116,7 @@
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@@ -393,31 +162,244 @@
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@@ -428,6 +410,28 @@
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packages/server/marketplaces/chatflows/AutoGPT.json
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@@ -67,8 +68,8 @@
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@@ -93,27 +94,176 @@
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@@ -155,7 +305,7 @@
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@@ -163,7 +313,7 @@
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@@ -171,7 +321,7 @@
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@@ -179,7 +329,7 @@
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@@ -187,7 +337,7 @@
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@@ -195,7 +345,7 @@
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@@ -203,7 +353,7 @@
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@@ -211,25 +361,26 @@
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@@ -237,177 +388,36 @@
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@@ -517,7 +524,7 @@
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@@ -635,13 +610,46 @@
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packages/server/marketplaces/chatflows/BabyAGI.json
+263 -259
View File
@@ -3,220 +3,93 @@
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@@ -258,7 +131,7 @@
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@@ -266,7 +139,7 @@
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@@ -274,7 +147,7 @@
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@@ -282,7 +155,7 @@
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@@ -290,7 +163,7 @@
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@@ -298,7 +171,7 @@
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@@ -306,7 +179,7 @@
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@@ -314,131 +187,262 @@
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packages/server/marketplaces/chatflows/CSV Agent.json
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View File
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{
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packages/server/marketplaces/chatflows/ChatGPTPlugin.json
+88 -81
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@@ -14,6 +14,7 @@
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@@ -131,6 +133,7 @@
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@@ -201,82 +204,29 @@
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@@ -385,14 +335,15 @@
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@@ -400,24 +351,69 @@
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@@ -429,6 +425,17 @@
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@@ -442,11 +449,11 @@
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packages/server/marketplaces/chatflows/Claude LLM.json
+416
View File
@@ -0,0 +1,416 @@
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"width": 300,
"height": 383,
"id": "conversationChain_0",
"position": {
"x": 1176.1569322079652,
"y": 303.56879146735974
},
"type": "customNode",
"data": {
"id": "conversationChain_0",
"label": "Conversation Chain",
"name": "conversationChain",
"version": 1,
"type": "ConversationChain",
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain"],
"category": "Chains",
"description": "Chat models specific conversational chain with memory",
"inputParams": [
{
"label": "System Message",
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "You are a helpful assistant that write codes",
"id": "conversationChain_0-input-systemMessagePrompt-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationChain_0-input-model-BaseChatModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseMemory",
"id": "conversationChain_0-input-memory-BaseMemory"
},
{
"label": "Document",
"name": "document",
"type": "Document",
"description": "Include whole document into the context window",
"optional": true,
"list": true,
"id": "conversationChain_0-input-document-Document"
}
],
"inputs": {
"model": "{{chatAnthropic_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"document": ["{{pdfFile_0.data.instance}}"],
"systemMessagePrompt": ""
},
"outputAnchors": [
{
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain",
"name": "conversationChain",
"label": "ConversationChain",
"type": "ConversationChain | LLMChain | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1176.1569322079652,
"y": 303.56879146735974
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatAnthropic_0",
"position": {
"x": 800.5525382783799,
"y": -76.7988221837009
},
"type": "customNode",
"data": {
"id": "chatAnthropic_0",
"label": "ChatAnthropic",
"name": "chatAnthropic",
"version": 1,
"type": "ChatAnthropic",
"baseClasses": ["ChatAnthropic", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around ChatAnthropic large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["anthropicApi"],
"id": "chatAnthropic_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "claude-2",
"name": "claude-2",
"description": "Claude 2 latest major version, automatically get updates to the model as they are released"
},
{
"label": "claude-instant-1",
"name": "claude-instant-1",
"description": "Claude Instant latest major version, automatically get updates to the model as they are released"
},
{
"label": "claude-v1",
"name": "claude-v1"
},
{
"label": "claude-v1-100k",
"name": "claude-v1-100k"
},
{
"label": "claude-v1.0",
"name": "claude-v1.0"
},
{
"label": "claude-v1.2",
"name": "claude-v1.2"
},
{
"label": "claude-v1.3",
"name": "claude-v1.3"
},
{
"label": "claude-v1.3-100k",
"name": "claude-v1.3-100k"
},
{
"label": "claude-instant-v1",
"name": "claude-instant-v1"
},
{
"label": "claude-instant-v1-100k",
"name": "claude-instant-v1-100k"
},
{
"label": "claude-instant-v1.0",
"name": "claude-instant-v1.0"
},
{
"label": "claude-instant-v1.1",
"name": "claude-instant-v1.1"
},
{
"label": "claude-instant-v1.1-100k",
"name": "claude-instant-v1.1-100k"
}
],
"default": "claude-v1",
"optional": true,
"id": "chatAnthropic_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatAnthropic_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokensToSample",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-maxTokensToSample-number"
},
{
"label": "Top P",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-topP-number"
},
{
"label": "Top K",
"name": "topK",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatAnthropic_0-input-topK-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "claude-2",
"temperature": 0.9,
"maxTokensToSample": "",
"topP": "",
"topK": ""
},
"outputAnchors": [
{
"id": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel",
"name": "chatAnthropic",
"label": "ChatAnthropic",
"type": "ChatAnthropic | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 800.5525382783799,
"y": -76.7988221837009
},
"dragging": false
},
{
"width": 300,
"height": 507,
"id": "pdfFile_0",
"position": {
"x": 94.16886576108482,
"y": 37.12056504707391
},
"type": "customNode",
"data": {
"id": "pdfFile_0",
"label": "Pdf File",
"name": "pdfFile",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from PDF files",
"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": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pdfFile_0-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "pdfFile_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"textSplitter": "",
"usage": "perPage",
"legacyBuild": "",
"metadata": ""
},
"outputAnchors": [
{
"id": "pdfFile_0-output-pdfFile-Document",
"name": "pdfFile",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 94.16886576108482,
"y": 37.12056504707391
},
"dragging": false
}
],
"edges": [
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"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": ""
}
},
{
"source": "chatAnthropic_0",
"sourceHandle": "chatAnthropic_0-output-chatAnthropic-ChatAnthropic|BaseChatModel|BaseLanguageModel",
"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": ""
}
},
{
"source": "pdfFile_0",
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-document-Document",
"type": "buttonedge",
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-conversationChain_0-conversationChain_0-input-document-Document",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/Conversational Agent.json
+188 -189
View File
@@ -3,27 +3,172 @@
"nodes": [
{
"width": 300,
"height": 524,
"id": "chatOpenAI_1",
"height": 143,
"id": "calculator_1",
"position": {
"x": 56.646518061018355,
"y": 71.07043412525425
"x": 800.5125025564965,
"y": 72.40592063242738
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"id": "calculator_1",
"label": "Calculator",
"name": "calculator",
"version": 1,
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Perform calculations on response",
"inputParams": [],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "calculator_1-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain",
"name": "calculator",
"label": "Calculator",
"type": "Calculator | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 800.5125025564965,
"y": 72.40592063242738
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_1",
"position": {
"x": 607.6260576768354,
"y": 584.7920541862369
},
"type": "customNode",
"data": {
"id": "bufferMemory_1",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
"inputParams": [
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"id": "bufferMemory_1-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"id": "bufferMemory_1-input-inputKey-string"
}
],
"inputAnchors": [],
"inputs": {
"memoryKey": "chat_history",
"inputKey": "input"
},
"outputAnchors": [
{
"id": "bufferMemory_1-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 607.6260576768354,
"y": 584.7920541862369
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 277,
"id": "serpAPI_0",
"position": {
"x": 451.83740798447855,
"y": 53.2843022150486
},
"type": "customNode",
"data": {
"id": "serpAPI_0",
"label": "Serp API",
"name": "serpAPI",
"version": 1,
"type": "SerpAPI",
"baseClasses": ["SerpAPI", "Tool", "StructuredTool"],
"category": "Tools",
"description": "Wrapper around SerpAPI - a real-time API to access Google search results",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["serpApi"],
"id": "serpAPI_0-input-credential-credential"
}
],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
"name": "serpAPI",
"label": "SerpAPI",
"type": "SerpAPI | Tool | StructuredTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 451.83740798447855,
"y": 53.2843022150486
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 97.01321406237057,
"y": 63.67664262280914
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 1,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "chatOpenAI_1-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -65,7 +210,7 @@
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_1-input-modelName-options"
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
@@ -73,7 +218,7 @@
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_1-input-temperature-number"
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
@@ -81,7 +226,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-maxTokens-number"
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
@@ -89,7 +234,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-topP-number"
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
@@ -97,7 +242,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-frequencyPenalty-number"
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
@@ -105,7 +250,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-presencePenalty-number"
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
@@ -113,7 +258,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-timeout-number"
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
@@ -121,25 +266,26 @@
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-basepath-string"
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -147,165 +293,27 @@
},
"selected": false,
"positionAbsolute": {
"x": 56.646518061018355,
"y": 71.07043412525425
"x": 97.01321406237057,
"y": 63.67664262280914
},
"dragging": false
},
{
"width": 300,
"height": 278,
"id": "serpAPI_1",
"position": {
"x": 436.94138168947336,
"y": 39.517825311262044
},
"type": "customNode",
"data": {
"id": "serpAPI_1",
"label": "Serp API",
"name": "serpAPI",
"type": "SerpAPI",
"baseClasses": ["SerpAPI", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Wrapper around SerpAPI - a real-time API to access Google search results",
"inputParams": [
{
"label": "Serp Api Key",
"name": "apiKey",
"type": "password",
"id": "serpAPI_1-input-apiKey-password"
}
],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "serpAPI_1-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain",
"name": "serpAPI",
"label": "SerpAPI",
"type": "SerpAPI | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 436.94138168947336,
"y": 39.517825311262044
},
"dragging": false
},
{
"width": 300,
"height": 143,
"id": "calculator_1",
"position": {
"x": 800.5125025564965,
"y": 72.40592063242738
},
"type": "customNode",
"data": {
"id": "calculator_1",
"label": "Calculator",
"name": "calculator",
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Perform calculations on response",
"inputParams": [],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "calculator_1-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain",
"name": "calculator",
"label": "Calculator",
"type": "Calculator | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 800.5125025564965,
"y": 72.40592063242738
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_1",
"position": {
"x": 573.479796337051,
"y": 575.8843338367278
},
"type": "customNode",
"data": {
"id": "bufferMemory_1",
"label": "Buffer Memory",
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
"inputParams": [
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"id": "bufferMemory_1-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"id": "bufferMemory_1-input-inputKey-string"
}
],
"inputAnchors": [],
"inputs": {
"memoryKey": "chat_history",
"inputKey": "input"
},
"outputAnchors": [
{
"id": "bufferMemory_1-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 573.479796337051,
"y": 575.8843338367278
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 1206.1996037716035,
"y": 227.39579577603587
"x": 1164.4550359451973,
"y": 283.40041124403075
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"name": "conversationalAgent",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
@@ -314,18 +322,10 @@
"name": "systemMessage",
"type": "string",
"rows": 4,
"default": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.",
"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
},
{
"label": "Human Message",
"name": "humanMessage",
"type": "string",
"rows": 4,
"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-humanMessage-string"
}
],
"inputAnchors": [
@@ -350,18 +350,17 @@
}
],
"inputs": {
"tools": ["{{calculator_1.data.instance}}", "{{serpAPI_1.data.instance}}"],
"model": "{{chatOpenAI_1.data.instance}}",
"tools": ["{{calculator_1.data.instance}}", "{{serpAPI_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}",
"memory": "{{bufferMemory_1.data.instance}}",
"systemMessage": "",
"humanMessage": ""
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packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json
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"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1206.7979889462367,
"y": 526.4616330622748
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}
],
"edges": [
{
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"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-embeddings-Embeddings",
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"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
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"data": {
"label": ""
}
},
{
"source": "recursiveCharacterTextSplitter_1",
"sourceHandle": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"source": "recursiveCharacterTextSplitter_0",
"sourceHandle": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"target": "textFile_0",
"targetHandle": "textFile_0-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "recursiveCharacterTextSplitter_1-recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_0-textFile_0-input-textSplitter-TextSplitter",
"id": "recursiveCharacterTextSplitter_0-recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_0-textFile_0-input-textSplitter-TextSplitter",
"data": {
"label": ""
}
@@ -608,12 +616,12 @@
}
},
{
"source": "openAIEmbeddings_1",
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-embeddings-Embeddings",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
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"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_0-pineconeUpsert_0-input-embeddings-Embeddings",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Github Repo QnA.json → packages/server/marketplaces/chatflows/Flowise Docs QnA.json
+341 -354
View File
@@ -1,23 +1,24 @@
{
"description": "Github repo QnA using conversational retrieval QA chain",
"description": "Flowise Docs Github QnA using conversational retrieval QA chain",
"nodes": [
{
"width": 300,
"height": 376,
"id": "recursiveCharacterTextSplitter_1",
"id": "markdownTextSplitter_0",
"position": {
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"y": 126.52301921543597
"x": 1081.1540334344143,
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"label": "Recursive Character Text Splitter",
"name": "recursiveCharacterTextSplitter",
"type": "RecursiveCharacterTextSplitter",
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
"id": "markdownTextSplitter_0",
"label": "Markdown Text Splitter",
"name": "markdownTextSplitter",
"version": 1,
"type": "MarkdownTextSplitter",
"baseClasses": ["MarkdownTextSplitter", "RecursiveCharacterTextSplitter", "TextSplitter", "BaseDocumentTransformer"],
"category": "Text Splitters",
"description": "Split documents recursively by different characters - starting with \"\n\n\", then \"\n\", then \" \"",
"description": "Split your content into documents based on the Markdown headers",
"inputParams": [
{
"label": "Chunk Size",
@@ -25,115 +26,27 @@
"type": "number",
"default": 1000,
"optional": true,
"id": "recursiveCharacterTextSplitter_1-input-chunkSize-number"
"id": "markdownTextSplitter_0-input-chunkSize-number"
},
{
"label": "Chunk Overlap",
"name": "chunkOverlap",
"type": "number",
"optional": true,
"id": "recursiveCharacterTextSplitter_1-input-chunkOverlap-number"
"id": "markdownTextSplitter_0-input-chunkOverlap-number"
}
],
"inputAnchors": [],
"inputs": {
"chunkSize": 1000,
"chunkSize": "4000",
"chunkOverlap": ""
},
"outputAnchors": [
{
"id": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"name": "recursiveCharacterTextSplitter",
"label": "RecursiveCharacterTextSplitter",
"type": "RecursiveCharacterTextSplitter | TextSplitter"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 447.1038086695898,
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"dragging": false
},
{
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"height": 578,
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"label": "Github",
"name": "github",
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"category": "Document Loaders",
"description": "Load data from a GitHub repository",
"inputParams": [
{
"label": "Repo Link",
"name": "repoLink",
"type": "string",
"placeholder": "https://github.com/FlowiseAI/Flowise",
"id": "github_1-input-repoLink-string"
},
{
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"name": "branch",
"type": "string",
"default": "main",
"id": "github_1-input-branch-string"
},
{
"label": "Access Token",
"name": "accessToken",
"type": "password",
"placeholder": "<GITHUB_ACCESS_TOKEN>",
"optional": true,
"id": "github_1-input-accessToken-password"
},
{
"label": "Recursive",
"name": "recursive",
"type": "boolean",
"optional": true,
"id": "github_1-input-recursive-boolean"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "github_1-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "github_1-input-textSplitter-TextSplitter"
}
],
"inputs": {
"repoLink": "",
"branch": "main",
"textSplitter": "{{recursiveCharacterTextSplitter_1.data.instance}}"
},
"outputAnchors": [
{
"id": "github_1-output-github-Document",
"name": "github",
"label": "Document",
"type": "Document"
"id": "markdownTextSplitter_0-output-markdownTextSplitter-MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
"name": "markdownTextSplitter",
"label": "MarkdownTextSplitter",
"type": "MarkdownTextSplitter | RecursiveCharacterTextSplitter | TextSplitter | BaseDocumentTransformer"
}
],
"outputs": {},
@@ -141,146 +54,38 @@
},
"selected": false,
"positionAbsolute": {
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"y": -44.04171088580361
"x": 1081.1540334344143,
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},
{
"width": 300,
"height": 330,
"id": "openAIEmbeddings_1",
"height": 405,
"id": "memoryVectorStore_0",
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"label": "OpenAI Embeddings",
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "openAIEmbeddings_1-input-openAIApiKey-password"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
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"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
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},
"selected": false,
"dragging": false
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{
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"label": "Pinecone Upsert Document",
"name": "pineconeUpsert",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"id": "memoryVectorStore_0",
"label": "In-Memory Vector Store",
"name": "memoryVectorStore",
"version": 1,
"type": "Memory",
"baseClasses": ["Memory", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Pinecone",
"description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.",
"inputParams": [
{
"label": "Pinecone Api Key",
"name": "pineconeApiKey",
"type": "password",
"id": "pineconeUpsert_1-input-pineconeApiKey-password"
},
{
"label": "Pinecone Environment",
"name": "pineconeEnv",
"type": "string",
"id": "pineconeUpsert_1-input-pineconeEnv-string"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeUpsert_1-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"optional": true,
"additionalParams": true,
"id": "pineconeUpsert_1-input-pineconeNamespace-string"
},
{
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pineconeUpsert_1-input-topK-number"
"id": "memoryVectorStore_0-input-topK-number"
}
],
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@@ -289,21 +94,19 @@
"name": "document",
"type": "Document",
"list": true,
"id": "pineconeUpsert_1-input-document-Document"
"id": "memoryVectorStore_0-input-document-Document"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeUpsert_1-input-embeddings-Embeddings"
"id": "memoryVectorStore_0-input-embeddings-Embeddings"
}
],
"inputs": {
"document": ["{{github_1.data.instance}}"],
"embeddings": "{{openAIEmbeddings_1.data.instance}}",
"pineconeEnv": "us-west4-gcp",
"pineconeIndex": "myindex",
"pineconeNamespace": "mynamespace"
"document": ["{{github_0.data.instance}}"],
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"topK": ""
},
"outputAnchors": [
{
@@ -312,16 +115,16 @@
"type": "options",
"options": [
{
"id": "pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"id": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
"label": "Memory Retriever",
"type": "Memory | VectorStoreRetriever | BaseRetriever"
},
{
"id": "pineconeUpsert_1-output-vectorStore-Pinecone|VectorStore",
"id": "memoryVectorStore_0-output-vectorStore-Memory|VectorStore",
"name": "vectorStore",
"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
"label": "Memory Vector Store",
"type": "Memory | VectorStore"
}
],
"default": "retriever"
@@ -333,35 +136,239 @@
"selected": false
},
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{
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"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
"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": "System Message",
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
},
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "BaseRetriever",
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseMemory",
"optional": true,
"description": "If left empty, a default BufferMemory will be used",
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{memoryVectorStore_0.data.instance}}",
"memory": "",
"returnSourceDocuments": true,
"systemMessagePrompt": "",
"chainOption": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
}
],
"outputs": {},
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},
"selected": false,
"dragging": false,
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"label": "Github",
"name": "github",
"version": 1,
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"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from a GitHub repository",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"description": "Only needed when accessing private repo",
"optional": true,
"credentialNames": ["githubApi"],
"id": "github_0-input-credential-credential"
},
{
"label": "Repo Link",
"name": "repoLink",
"type": "string",
"placeholder": "https://github.com/FlowiseAI/Flowise",
"id": "github_0-input-repoLink-string"
},
{
"label": "Branch",
"name": "branch",
"type": "string",
"default": "main",
"id": "github_0-input-branch-string"
},
{
"label": "Recursive",
"name": "recursive",
"type": "boolean",
"optional": true,
"id": "github_0-input-recursive-boolean"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "github_0-input-metadata-json"
}
],
"inputAnchors": [
{
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"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "github_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"repoLink": "https://github.com/FlowiseAI/FlowiseDocs",
"branch": "main",
"recursive": true,
"textSplitter": "{{markdownTextSplitter_0.data.instance}}",
"metadata": ""
},
"outputAnchors": [
{
"id": "github_0-output-github-Document",
"name": "github",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
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},
"selected": false,
"positionAbsolute": {
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},
"dragging": false
},
{
"width": 300,
"height": 522,
"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 1,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "chatOpenAI_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -465,19 +472,20 @@
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0.5",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
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"timeout": "",
"basepath": ""
},
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"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -485,169 +493,148 @@
},
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{
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"id": "conversationalRetrievalQAChain_0",
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"id": "openAIEmbeddings_0",
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"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"name": "openAIEmbeddings",
"version": 1,
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
{
"label": "Return Source Documents",
"name": "returnSourceDocuments",
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
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{
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{
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packages/server/marketplaces/chatflows/HuggingFace LLM Chain.json
+131 -125
View File
@@ -14,6 +14,7 @@
"id": "llmChain_1",
"label": "LLM Chain",
"name": "llmChain",
"version": 1,
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -81,120 +82,6 @@
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"placeholder": "gpt2",
"id": "huggingFaceInference_LLMs_0-input-model-string"
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{
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"type": "password",
"id": "huggingFaceInference_LLMs_0-input-apiKey-password"
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{
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"name": "temperature",
"type": "number",
"description": "Temperature parameter may not apply to certain model. Please check available model parameters",
"optional": true,
"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-temperature-number"
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{
"label": "Max Tokens",
"name": "maxTokens",
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"description": "Max Tokens parameter may not apply to certain model. Please check available model parameters",
"optional": true,
"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"description": "Top Probability parameter may not apply to certain model. Please check available model parameters",
"optional": true,
"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-topP-number"
},
{
"label": "Top K",
"name": "hfTopK",
"type": "number",
"description": "Top K parameter may not apply to certain model. Please check available model parameters",
"optional": true,
"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-hfTopK-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"description": "Frequency Penalty parameter may not apply to certain model. Please check available model parameters",
"optional": true,
"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-frequencyPenalty-number"
},
{
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"placeholder": "https://xyz.eu-west-1.aws.endpoints.huggingface.cloud/gpt2",
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"id": "huggingFaceInference_LLMs_0-input-endpoint-string"
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"label": "HuggingFaceInference",
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@@ -208,6 +95,7 @@
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"name": "promptTemplate",
"version": 1,
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
@@ -253,20 +141,127 @@
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},
{
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"type": "string",
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"placeholder": "gpt2",
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"id": "huggingFaceInference_LLMs_0-input-model-string"
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{
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"name": "endpoint",
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"id": "huggingFaceInference_LLMs_0-input-endpoint-string"
},
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"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-temperature-number"
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"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-maxTokens-number"
},
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"additionalParams": true,
"id": "huggingFaceInference_LLMs_0-input-topP-number"
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{
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packages/server/marketplaces/chatflows/Local QnA.json
+11 -4
View File
@@ -14,6 +14,7 @@
"id": "recursiveCharacterTextSplitter_1",
"label": "Recursive Character Text Splitter",
"name": "recursiveCharacterTextSplitter",
"version": 1,
"type": "RecursiveCharacterTextSplitter",
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
"category": "Text Splitters",
@@ -71,6 +72,7 @@
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"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -135,15 +137,16 @@
{
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"name": "memory",
"type": "DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory",
"type": "BaseMemory",
"optional": true,
"description": "If no memory connected, default BufferMemory will be used",
"id": "conversationalRetrievalQAChain_0-input-memory-DynamoDBChatMemory | RedisBackedChatMemory | ZepMemory"
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"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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],
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"vectorStoreRetriever": "{{faissUpsert_0.data.instance}}",
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@@ -176,6 +179,7 @@
"id": "faissUpsert_0",
"label": "Faiss Upsert Document",
"name": "faissUpsert",
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"type": "Faiss",
"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
@@ -268,6 +272,7 @@
"id": "chatLocalAI_0",
"label": "ChatLocalAI",
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"version": 1,
"type": "ChatLocalAI",
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@@ -360,6 +365,7 @@
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"type": "Document",
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@@ -425,6 +431,7 @@
"id": "localAIEmbeddings_0",
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"type": "LocalAI Embeddings",
"baseClasses": ["LocalAI Embeddings", "Embeddings"],
"category": "Embeddings",
packages/server/marketplaces/chatflows/Long Term Memory.json
+647
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@@ -0,0 +1,647 @@
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],
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},
{
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"type": "Pinecone | VectorStore"
}
],
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}
],
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},
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},
{
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},
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}
],
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"inputKey": "input",
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},
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}
],
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}
packages/server/marketplaces/chatflows/MRKLAgent.json
+211 -206
View File
@@ -1,51 +1,6 @@
{
"description": "An agent that uses the React Framework to decide what action to take",
"nodes": [
{
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"height": 278,
"id": "serpAPI_1",
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"data": {
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"label": "Serp API",
"name": "serpAPI",
"type": "SerpAPI",
"baseClasses": ["SerpAPI", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Wrapper around SerpAPI - a real-time API to access Google search results",
"inputParams": [
{
"label": "Serp Api Key",
"name": "apiKey",
"type": "password",
"id": "serpAPI_1-input-apiKey-password"
}
],
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"inputs": {},
"outputAnchors": [
{
"id": "serpAPI_1-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain",
"name": "serpAPI",
"label": "SerpAPI",
"type": "SerpAPI | Tool | StructuredTool | BaseLangChain"
}
],
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},
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"dragging": false
},
{
"width": 300,
"height": 143,
@@ -59,6 +14,7 @@
"id": "calculator_1",
"label": "Calculator",
"name": "calculator",
"version": 1,
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@@ -84,159 +40,6 @@
"selected": false,
"dragging": false
},
{
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"height": 524,
"id": "openAI_1",
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"y": 394.7618562930441
},
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"label": "OpenAI",
"name": "openAI",
"type": "OpenAI",
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"category": "LLMs",
"description": "Wrapper around OpenAI large language models",
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{
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"name": "openAIApiKey",
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"id": "openAI_1-input-openAIApiKey-password"
},
{
"label": "Model Name",
"name": "modelName",
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"options": [
{
"label": "text-davinci-003",
"name": "text-davinci-003"
},
{
"label": "text-davinci-002",
"name": "text-davinci-002"
},
{
"label": "text-curie-001",
"name": "text-curie-001"
},
{
"label": "text-babbage-001",
"name": "text-babbage-001"
}
],
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"id": "openAI_1-input-modelName-options"
},
{
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},
{
"label": "Max Tokens",
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"id": "openAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
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"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
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"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
},
{
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"id": "openAI_1-input-frequencyPenalty-number"
},
{
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"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
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"id": "openAI_1-input-batchSize-number"
},
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},
{
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"id": "openAI_1-input-basepath-string"
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"bestOf": "",
"frequencyPenalty": "",
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"timeout": ""
},
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{
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"label": "OpenAI",
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}
],
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},
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{
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"height": 280,
@@ -250,6 +53,7 @@
"id": "mrklAgentLLM_0",
"label": "MRKL Agent for LLMs",
"name": "mrklAgentLLM",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
@@ -271,8 +75,8 @@
}
],
"inputs": {
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"model": "{{openAI_1.data.instance}}"
"tools": ["{{calculator_1.data.instance}}", "{{serper_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}"
},
"outputAnchors": [
{
@@ -291,6 +95,207 @@
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},
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"height": 277,
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"y": 109.83185250619351
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"label": "Serper",
"name": "serper",
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"type": "Serper",
"baseClasses": ["Serper", "Tool", "StructuredTool"],
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"description": "Wrapper around Serper.dev - Google Search API",
"inputParams": [
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"label": "Connect Credential",
"name": "credential",
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}
],
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"outputAnchors": [
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"name": "serper",
"label": "Serper",
"type": "Serper | Tool | StructuredTool"
}
],
"outputs": {},
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},
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"positionAbsolute": {
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"name": "chatOpenAI",
"version": 1,
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"category": "Chat Models",
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"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
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},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
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"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
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@@ -306,23 +311,23 @@
}
},
{
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}
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"source": "chatOpenAI_0",
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packages/server/marketplaces/chatflows/Metadata Filter Load.json
+363 -362
View File
@@ -3,364 +3,18 @@
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@@ -425,14 +79,14 @@
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@@ -448,31 +102,378 @@
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},
{
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"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
}
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}
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},
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packages/server/marketplaces/chatflows/Metadata Filter Upsert.json
+372 -368
View File
@@ -14,6 +14,7 @@
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"label": "Recursive Character Text Splitter",
"name": "recursiveCharacterTextSplitter",
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"category": "Text Splitters",
@@ -58,240 +59,6 @@
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@@ -305,6 +72,7 @@
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@@ -370,6 +138,7 @@
"id": "pdfFile_0",
"label": "Pdf File",
"name": "pdfFile",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
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@@ -442,119 +211,7 @@
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"pineconeIndex": "myindex",
"pineconeNamespace": "my-namespace"
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@@ -565,6 +222,7 @@
"id": "conversationalRetrievalQAChain_0",
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@@ -629,14 +287,14 @@
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@@ -656,6 +314,352 @@
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"type": "Embeddings",
"id": "pineconeUpsert_0-input-embeddings-Embeddings"
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}
],
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@@ -682,23 +686,12 @@
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packages/server/marketplaces/chatflows/Multi Prompt Chain.json
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View File
@@ -14,6 +14,7 @@
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@@ -81,6 +82,7 @@
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packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json
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"id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
},
{
"label": "Pinecone Metadata Filter",
"name": "pineconeMetadataFilter",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pineconeExistingIndex_0-input-pineconeMetadataFilter-json"
},
{
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pineconeExistingIndex_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeExistingIndex_0-input-embeddings-Embeddings"
}
],
"inputs": {
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"pineconeEnv": "",
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
},
{
"id": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
"name": "vectorStore",
"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "vectorStore"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 271.2513182410521,
"y": -410.32709109501735
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "chromaExistingIndex_0",
"position": {
"x": 269.2940530300552,
"y": 262.41814510537796
},
"type": "customNode",
"data": {
"id": "chromaExistingIndex_0",
"label": "Chroma Load Existing Index",
"name": "chromaExistingIndex",
"type": "Chroma",
"baseClasses": ["Chroma", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Chroma (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Collection Name",
"name": "collectionName",
"type": "string",
"id": "chromaExistingIndex_0-input-collectionName-string"
},
{
"label": "Chroma URL",
"name": "chromaURL",
"type": "string",
"optional": true,
"id": "chromaExistingIndex_0-input-chromaURL-string"
},
{
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "chromaExistingIndex_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "chromaExistingIndex_0-input-embeddings-Embeddings"
}
],
"inputs": {
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"collectionName": "",
"chromaURL": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "chromaExistingIndex_0-output-retriever-Chroma|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Chroma Retriever",
"type": "Chroma | VectorStoreRetriever | BaseRetriever"
},
{
"id": "chromaExistingIndex_0-output-vectorStore-Chroma|VectorStore",
"name": "vectorStore",
"label": "Chroma Vector Store",
"type": "Chroma | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "vectorStore"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 269.2940530300552,
"y": 262.41814510537796
},
"dragging": false
},
{
"width": 300,
"height": 702,
"id": "supabaseExistingIndex_0",
"position": {
"x": 273.7097153973373,
"y": 821.872758974335
},
"type": "customNode",
"data": {
"id": "supabaseExistingIndex_0",
"label": "Supabase Load Existing Index",
"name": "supabaseExistingIndex",
"type": "Supabase",
"baseClasses": ["Supabase", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Supabase (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Supabase API Key",
"name": "supabaseApiKey",
"type": "password",
"id": "supabaseExistingIndex_0-input-supabaseApiKey-password"
},
{
"label": "Supabase Project URL",
"name": "supabaseProjUrl",
"type": "string",
"id": "supabaseExistingIndex_0-input-supabaseProjUrl-string"
},
{
"label": "Table Name",
"name": "tableName",
"type": "string",
"id": "supabaseExistingIndex_0-input-tableName-string"
},
{
"label": "Query Name",
"name": "queryName",
"type": "string",
"id": "supabaseExistingIndex_0-input-queryName-string"
},
{
"label": "Supabase Metadata Filter",
"name": "supabaseMetadataFilter",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "supabaseExistingIndex_0-input-supabaseMetadataFilter-json"
},
{
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "supabaseExistingIndex_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "supabaseExistingIndex_0-input-embeddings-Embeddings"
}
],
"inputs": {
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"supabaseProjUrl": "",
"tableName": "",
"queryName": "",
"supabaseMetadataFilter": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "supabaseExistingIndex_0-output-retriever-Supabase|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Supabase Retriever",
"type": "Supabase | VectorStoreRetriever | BaseRetriever"
},
{
"id": "supabaseExistingIndex_0-output-vectorStore-Supabase|VectorStore",
"name": "vectorStore",
"label": "Supabase Vector Store",
"type": "Supabase | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "vectorStore"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 273.7097153973373,
"y": 821.872758974335
"x": 1154.0989175770958,
"y": -255.77769163789395
},
"dragging": false
}
@@ -844,17 +855,6 @@
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "multiRetrievalQAChain_0",
"targetHandle": "multiRetrievalQAChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-multiRetrievalQAChain_0-multiRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
@@ -866,17 +866,6 @@
"label": ""
}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeExistingIndex_0",
"targetHandle": "pineconeExistingIndex_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_0-pineconeExistingIndex_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "chromaExistingIndex_0",
"sourceHandle": "chromaExistingIndex_0-output-vectorStore-Chroma|VectorStore",
@@ -888,6 +877,17 @@
"label": ""
}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeExistingIndex_0",
"targetHandle": "pineconeExistingIndex_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_0-pineconeExistingIndex_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
@@ -920,6 +920,17 @@
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "multiRetrievalQAChain_0",
"targetHandle": "multiRetrievalQAChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-multiRetrievalQAChain_0-multiRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/Multiple VectorDB.json
+844 -934
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/chatflows/OpenAI Agent.json
+324 -312
View File
@@ -3,27 +3,296 @@
"nodes": [
{
"width": 300,
"height": 524,
"height": 143,
"id": "calculator_0",
"position": {
"x": 288.06681362611545,
"y": 289.1385194199715
},
"type": "customNode",
"data": {
"id": "calculator_0",
"label": "Calculator",
"name": "calculator",
"version": 1,
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain", "Serializable"],
"category": "Tools",
"description": "Perform calculations on response",
"inputParams": [],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "calculator_0-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain|Serializable",
"name": "calculator",
"label": "Calculator",
"type": "Calculator | Tool | StructuredTool | BaseLangChain | Serializable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 288.06681362611545,
"y": 289.1385194199715
},
"dragging": false
},
{
"width": 300,
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"id": "bufferMemory_0",
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},
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"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
"inputParams": [
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"id": "bufferMemory_0-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"id": "bufferMemory_0-input-inputKey-string"
}
],
"inputAnchors": [],
"inputs": {
"memoryKey": "chat_history",
"inputKey": "input"
},
"outputAnchors": [
{
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 285.7750469157585,
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},
"dragging": false
},
{
"width": 300,
"height": 277,
"id": "customTool_0",
"position": {
"x": 883.9529939431576,
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},
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"data": {
"id": "customTool_0",
"label": "Custom Tool",
"name": "customTool",
"version": 1,
"type": "CustomTool",
"baseClasses": ["CustomTool", "Tool", "StructuredTool"],
"category": "Tools",
"description": "Use custom tool you've created in Flowise within chatflow",
"inputParams": [
{
"label": "Select Tool",
"name": "selectedTool",
"type": "asyncOptions",
"loadMethod": "listTools",
"id": "customTool_0-input-selectedTool-asyncOptions"
}
],
"inputAnchors": [],
"inputs": {
"selectedTool": ""
},
"outputAnchors": [
{
"id": "customTool_0-output-customTool-CustomTool|Tool|StructuredTool",
"name": "customTool",
"label": "CustomTool",
"type": "CustomTool | Tool | StructuredTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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},
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},
{
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"label": "Serper",
"name": "serper",
"version": 1,
"type": "Serper",
"baseClasses": ["Serper", "Tool", "StructuredTool"],
"category": "Tools",
"description": "Wrapper around Serper.dev - Google Search API",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["serperApi"],
"id": "serper_0-input-credential-credential"
}
],
"inputAnchors": [],
"inputs": {},
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{
"id": "serper_0-output-serper-Serper|Tool|StructuredTool",
"name": "serper",
"label": "Serper",
"type": "Serper | Tool | StructuredTool"
}
],
"outputs": {},
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},
"selected": false,
"positionAbsolute": {
"x": 504.3508341937219,
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},
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},
{
"width": 300,
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"id": "openAIFunctionAgent_0",
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},
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"data": {
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"label": "OpenAI Function Agent",
"name": "openAIFunctionAgent",
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"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call",
"inputParams": [
{
"label": "System Message",
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}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "openAIFunctionAgent_0-input-tools-Tool"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "openAIFunctionAgent_0-input-memory-BaseChatMemory"
},
{
"label": "OpenAI Chat Model",
"name": "model",
"description": "Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target=\"_blank\" href=\"https://platform.openai.com/docs/guides/gpt/function-calling\">docs</a> for more info",
"type": "BaseChatModel",
"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
}
],
"inputs": {
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"memory": "{{bufferMemory_0.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"systemMessage": ""
},
"outputAnchors": [
{
"id": "openAIFunctionAgent_0-output-openAIFunctionAgent-AgentExecutor|BaseChain",
"name": "openAIFunctionAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
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},
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},
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},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
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"x": 817.8210275868742,
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},
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"id": "chatOpenAI_0",
"label": "ChatOpenAI",
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"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain", "Serializable"],
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"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "chatOpenAI_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -34,29 +303,33 @@
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
},
{
"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-0301",
"name": "gpt-3.5-turbo-0301"
},
{
"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",
@@ -122,7 +395,7 @@
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo-0613",
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
@@ -133,10 +406,10 @@
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain|Serializable",
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain | Serializable"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -144,285 +417,13 @@
},
"selected": false,
"positionAbsolute": {
"x": 648.7470970481406,
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},
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},
{
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"type": "Serper",
"baseClasses": ["Serper", "Tool", "StructuredTool", "BaseLangChain", "Serializable"],
"category": "Tools",
"description": "Wrapper around Serper.dev - Google Search API",
"inputParams": [
{
"label": "Serper Api Key",
"name": "apiKey",
"type": "password",
"id": "serper_0-input-apiKey-password"
}
],
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"inputs": {},
"outputAnchors": [
{
"id": "serper_0-output-serper-Serper|Tool|StructuredTool|BaseLangChain|Serializable",
"name": "serper",
"label": "Serper",
"type": "Serper | Tool | StructuredTool | BaseLangChain | Serializable"
}
],
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},
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"id": "calculator_0",
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},
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"label": "Calculator",
"name": "calculator",
"type": "Calculator",
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"category": "Tools",
"description": "Perform calculations on response",
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"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "calculator_0-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain|Serializable",
"name": "calculator",
"label": "Calculator",
"type": "Calculator | Tool | StructuredTool | BaseLangChain | Serializable"
}
],
"outputs": {},
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},
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},
{
"width": 300,
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"label": "OpenAI Function Agent",
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"category": "Agents",
"description": "An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call",
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{
"label": "System Message",
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"optional": true,
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"id": "openAIFunctionAgent_0-input-systemMessage-string"
}
],
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"label": "Allowed Tools",
"name": "tools",
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{
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"type": "BaseChatMemory",
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},
{
"label": "OpenAI Chat Model",
"name": "model",
"description": "Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target=\"_blank\" href=\"https://platform.openai.com/docs/guides/gpt/function-calling\">docs</a> for more info",
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"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
}
],
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"memory": "{{bufferMemory_0.data.instance}}",
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},
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"inputs": {
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"inputKey": "input"
},
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"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
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"category": "Tools",
"description": "Use custom tool you've created in Flowise within chatflow",
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"name": "selectedTool",
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],
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},
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"type": "CustomTool | Tool | StructuredTool"
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],
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}
},
{
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"sourceHandle": "calculator_0-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain|Serializable",
@@ -435,23 +436,12 @@
}
},
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}
@@ -466,6 +456,28 @@
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}
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}
packages/server/marketplaces/chatflows/Prompt Chaining.json
+476 -466
View File
@@ -3,27 +3,467 @@
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},
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],
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},
{
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"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
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"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
},
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"label": "Timeout",
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"additionalParams": true,
"id": "openAI_1-input-timeout-number"
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{
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],
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"id": "openAI_2-input-credential-credential"
},
{
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@@ -134,226 +574,15 @@
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@@ -361,243 +590,13 @@
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"promptValues": "{\"objective\":\"{{question}}\",\"result\":\"{{llmChain_0.data.instance}}\"}"
},
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"type": "string | json"
}
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@@ -620,17 +619,6 @@
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@@ -641,6 +629,28 @@
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}
packages/server/marketplaces/chatflows/Replicate LLM.json
+3
View File
@@ -14,6 +14,7 @@
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"name": "llmChain",
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"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -94,6 +95,7 @@
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"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
@@ -153,6 +155,7 @@
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"type": "Replicate",
"baseClasses": ["Replicate", "LLM", "BaseLLM", "BaseLanguageModel"],
"category": "LLMs",
packages/server/marketplaces/chatflows/SQL DB Chain.json
+159 -157
View File
@@ -1,159 +1,6 @@
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@@ -167,6 +14,7 @@
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@@ -202,7 +50,7 @@
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packages/server/marketplaces/chatflows/Simple Conversation Chain.json
+85 -79
View File
@@ -3,27 +3,86 @@
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{
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@@ -132,70 +191,15 @@
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"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
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{
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"name": "memoryKey",
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"default": "chat_history",
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"label": "Input Key",
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"type": "string",
"default": "input",
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}
],
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"inputs": {
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"inputKey": "input"
},
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{
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -203,26 +207,27 @@
},
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"id": "conversationChain_0",
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"x": 1174.6496397666272,
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"label": "Conversation Chain",
"name": "conversationChain",
"version": 1,
"type": "ConversationChain",
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain", "BaseLangChain"],
"baseClasses": ["ConversationChain", "LLMChain", "BaseChain"],
"category": "Chains",
"description": "Chat models specific conversational chain with memory",
"inputParams": [
@@ -263,14 +268,15 @@
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"document": "",
"systemMessagePrompt": ""
},
"outputAnchors": [
{
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain|BaseLangChain",
"id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain",
"name": "conversationChain",
"label": "ConversationChain",
"type": "ConversationChain | LLMChain | BaseChain | BaseLangChain"
"type": "ConversationChain | LLMChain | BaseChain"
}
],
"outputs": {},
@@ -278,8 +284,8 @@
},
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"x": 1174.6496397666272,
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}
@@ -287,11 +293,11 @@
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packages/server/marketplaces/chatflows/Simple LLM Chain.json
+170 -165
View File
@@ -1,159 +1,6 @@
{
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@@ -167,6 +14,7 @@
"id": "llmChain_1",
"label": "LLM Chain",
"name": "llmChain",
"version": 1,
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -196,7 +44,7 @@
}
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"model": "{{openAI_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"chainName": ""
},
@@ -247,6 +95,7 @@
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"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
@@ -292,20 +141,165 @@
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@@ -316,6 +310,17 @@
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packages/server/marketplaces/chatflows/Translator.json
+168 -163
View File
@@ -1,157 +1,6 @@
{
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@@ -165,6 +14,7 @@
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"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -194,7 +44,7 @@
}
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"chainName": "Language Translation"
},
@@ -245,6 +95,7 @@
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@@ -299,20 +150,163 @@
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@@ -323,6 +317,17 @@
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"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/WebBrowser.json
+254 -251
View File
@@ -3,27 +3,216 @@
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{
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"height": 524,
"height": 376,
"id": "bufferMemory_0",
"position": {
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"y": 362.4048129799687
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"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
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{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"id": "bufferMemory_0-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"id": "bufferMemory_0-input-inputKey-string"
}
],
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"inputs": {
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"inputKey": "input"
},
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{
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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"y": 362.4048129799687
},
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},
{
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"height": 280,
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"y": -16.43806989958216
},
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"label": "Web Browser",
"name": "webBrowser",
"version": 1,
"type": "WebBrowser",
"baseClasses": ["WebBrowser", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Gives agent the ability to visit a website and extract information",
"inputParams": [],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "webBrowser_0-input-model-BaseLanguageModel"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "webBrowser_0-input-embeddings-Embeddings"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"embeddings": "{{openAIEmbeddings_0.data.instance}}"
},
"outputAnchors": [
{
"id": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
"name": "webBrowser",
"label": "WebBrowser",
"type": "WebBrowser | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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"y": -16.43806989958216
},
"dragging": false
},
{
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"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
}
],
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{
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"name": "tools",
"type": "Tool",
"list": true,
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalAgent_0-input-model-BaseLanguageModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
}
],
"inputs": {
"tools": ["{{webBrowser_0.data.instance}}"],
"model": "{{chatOpenAI_1.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
},
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{
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"name": "conversationalAgent",
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"type": "AgentExecutor | BaseChain"
}
],
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},
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"y": 155.73036805253955
},
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},
{
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"height": 523,
"id": "chatOpenAI_0",
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"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 1,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "chatOpenAI_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -132,14 +321,15 @@
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
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{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -147,90 +337,36 @@
},
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"y": -86.56099395751443
"x": 734.7477982032904,
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"id": "bufferMemory_0",
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"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Remembers previous conversational back and forths directly",
"inputParams": [
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"id": "bufferMemory_0-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"id": "bufferMemory_0-input-inputKey-string"
}
],
"inputAnchors": [],
"inputs": {
"memoryKey": "chat_history",
"inputKey": "input"
},
"outputAnchors": [
{
"id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"name": "bufferMemory",
"label": "BufferMemory",
"type": "BufferMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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},
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},
{
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"height": 330,
"height": 329,
"id": "openAIEmbeddings_0",
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"x": 403.72014625628697,
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},
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"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"name": "openAIEmbeddings",
"version": 1,
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "openAIEmbeddings_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
@@ -269,7 +405,8 @@
"inputs": {
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"batchSize": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
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@@ -284,34 +421,36 @@
},
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"height": 524,
"height": 523,
"id": "chatOpenAI_1",
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"x": 68.312124033115,
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"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 1,
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "chatOpenAI_1-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_1-input-credential-credential"
},
{
"label": "Model Name",
@@ -420,14 +559,15 @@
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
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{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -435,161 +575,13 @@
},
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"y": -533.1696369549378
},
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},
{
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"id": "webBrowser_0",
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},
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"data": {
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"name": "webBrowser",
"type": "WebBrowser",
"baseClasses": ["WebBrowser", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Gives agent the ability to visit a website and extract information",
"inputParams": [],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "webBrowser_0-input-model-BaseLanguageModel"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "webBrowser_0-input-embeddings-Embeddings"
}
],
"inputs": {
"model": "{{chatOpenAI_1.data.instance}}",
"embeddings": "{{openAIEmbeddings_0.data.instance}}"
},
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{
"id": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
"name": "webBrowser",
"label": "WebBrowser",
"type": "WebBrowser | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
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},
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"name": "conversationalAgent",
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"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
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{
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"id": "conversationalAgent_0-input-systemMessage-string"
},
{
"label": "Human Message",
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"additionalParams": true,
"id": "conversationalAgent_0-input-humanMessage-string"
}
],
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"type": "Tool",
"list": true,
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalAgent_0-input-model-BaseLanguageModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
}
],
"inputs": {
"tools": ["{{webBrowser_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"systemMessage": "",
"humanMessage": ""
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|BaseLangChain",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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"y": 239.69137914100338
"x": 68.312124033115,
"y": -169.65476709991256
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}
],
"edges": [
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "webBrowser_0",
"targetHandle": "webBrowser_0-input-model-BaseLanguageModel",
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}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
@@ -601,6 +593,28 @@
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "webBrowser_0",
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}
},
{
"source": "chatOpenAI_1",
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}
},
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"sourceHandle": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
@@ -612,17 +626,6 @@
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}
},
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packages/server/marketplaces/chatflows/WebPage QnA.json
+771
View File
@@ -0,0 +1,771 @@
{
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{
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},
{
"label": "Strip New Lines",
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"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
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"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
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{
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"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
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"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
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"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
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},
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},
{
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"type": "Pinecone",
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{
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},
{
"label": "Pinecone Index",
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"id": "pineconeUpsert_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"id": "pineconeUpsert_0-input-pineconeNamespace-string"
},
{
"label": "Top K",
"name": "topK",
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"optional": true,
"id": "pineconeUpsert_0-input-topK-number"
}
],
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{
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"id": "pineconeUpsert_0-input-document-Document"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeUpsert_0-input-embeddings-Embeddings"
}
],
"inputs": {
"document": ["{{cheerioWebScraper_0.data.instance}}"],
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"pineconeIndex": "",
"pineconeNamespace": "",
"topK": ""
},
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{
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{
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"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
},
{
"id": "pineconeUpsert_0-output-vectorStore-Pinecone|VectorStore",
"name": "vectorStore",
"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
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{
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"id": "cheerioWebScraper_0",
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"y": -168.78678247276423
},
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"data": {
"id": "cheerioWebScraper_0",
"label": "Cheerio Web Scraper",
"name": "cheerioWebScraper",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from webpages",
"inputParams": [
{
"label": "URL",
"name": "url",
"type": "string",
"id": "cheerioWebScraper_0-input-url-string"
},
{
"label": "Get Relative Links Method",
"name": "relativeLinksMethod",
"type": "options",
"description": "Select a method to retrieve relative links",
"options": [
{
"label": "Web Crawl",
"name": "webCrawl",
"description": "Crawl relative links from HTML URL"
},
{
"label": "Scrape XML Sitemap",
"name": "scrapeXMLSitemap",
"description": "Scrape relative links from XML sitemap URL"
}
],
"optional": true,
"additionalParams": true,
"id": "cheerioWebScraper_0-input-relativeLinksMethod-options"
},
{
"label": "Get Relative Links Limit",
"name": "limit",
"type": "number",
"optional": true,
"additionalParams": true,
"description": "Only used when \"Get Relative Links Method\" is selected. Set 0 to retrieve all relative links, default limit is 10.",
"warning": "Retreiving all links might take long time, and all links will be upserted again if the flow's state changed (eg: different URL, chunk size, etc)",
"id": "cheerioWebScraper_0-input-limit-number"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "cheerioWebScraper_0-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "cheerioWebScraper_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"url": "https://www.itsjane.com",
"textSplitter": "{{htmlToMarkdownTextSplitter_0.data.instance}}",
"relativeLinksMethod": "",
"limit": "",
"metadata": ""
},
"outputAnchors": [
{
"id": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
"name": "cheerioWebScraper",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
"selected": false
},
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},
"dragging": false
},
{
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"y": 1.2942107707648631
},
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"data": {
"id": "htmlToMarkdownTextSplitter_0",
"label": "HtmlToMarkdown Text Splitter",
"name": "htmlToMarkdownTextSplitter",
"version": 1,
"type": "HtmlToMarkdownTextSplitter",
"baseClasses": [
"HtmlToMarkdownTextSplitter",
"MarkdownTextSplitter",
"RecursiveCharacterTextSplitter",
"TextSplitter",
"BaseDocumentTransformer"
],
"category": "Text Splitters",
"description": "Converts Html to Markdown and then split your content into documents based on the Markdown headers",
"inputParams": [
{
"label": "Chunk Size",
"name": "chunkSize",
"type": "number",
"default": 1000,
"optional": true,
"id": "htmlToMarkdownTextSplitter_0-input-chunkSize-number"
},
{
"label": "Chunk Overlap",
"name": "chunkOverlap",
"type": "number",
"optional": true,
"id": "htmlToMarkdownTextSplitter_0-input-chunkOverlap-number"
}
],
"inputAnchors": [],
"inputs": {
"chunkSize": 1000,
"chunkOverlap": ""
},
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{
"id": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
"name": "htmlToMarkdownTextSplitter",
"label": "HtmlToMarkdownTextSplitter",
"type": "HtmlToMarkdownTextSplitter | MarkdownTextSplitter | RecursiveCharacterTextSplitter | TextSplitter | BaseDocumentTransformer"
}
],
"outputs": {},
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},
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},
{
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"height": 479,
"id": "conversationalRetrievalQAChain_0",
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"y": 305.08959224761225
},
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"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
"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": "System Message",
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"additionalParams": true,
"optional": true,
"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
},
{
"label": "Chain Option",
"name": "chainOption",
"type": "options",
"options": [
{
"label": "MapReduceDocumentsChain",
"name": "map_reduce",
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
},
{
"label": "RefineDocumentsChain",
"name": "refine",
"description": "Suitable for QA tasks over a large number of documents."
},
{
"label": "StuffDocumentsChain",
"name": "stuff",
"description": "Suitable for QA tasks over a small number of documents."
}
],
"additionalParams": true,
"optional": true,
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
},
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "BaseRetriever",
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseMemory",
"optional": true,
"description": "If left empty, a default BufferMemory will be used",
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{pineconeUpsert_0.data.instance}}",
"memory": "{{motorheadMemory_0.data.instance}}",
"returnSourceDocuments": true,
"systemMessagePrompt": "",
"chainOption": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
}
],
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},
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},
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"label": "Motorhead Memory",
"name": "motorheadMemory",
"version": 1,
"type": "MotorheadMemory",
"baseClasses": ["MotorheadMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Use Motorhead Memory to store chat conversations",
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{
"label": "Connect Credential",
"name": "credential",
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"description": "Only needed when using hosted solution - https://getmetal.io",
"credentialNames": ["motorheadMemoryApi"],
"id": "motorheadMemory_0-input-credential-credential"
},
{
"label": "Base URL",
"name": "baseURL",
"type": "string",
"optional": true,
"description": "To use the online version, leave the URL blank. More details at https://getmetal.io.",
"id": "motorheadMemory_0-input-baseURL-string"
},
{
"label": "Session Id",
"name": "sessionId",
"type": "string",
"description": "if empty, chatId will be used automatically",
"default": "",
"additionalParams": true,
"optional": true,
"id": "motorheadMemory_0-input-sessionId-string"
},
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"additionalParams": true,
"id": "motorheadMemory_0-input-memoryKey-string"
}
],
"inputAnchors": [],
"inputs": {
"baseURL": "",
"sessionId": "",
"memoryKey": "chat_history"
},
"outputAnchors": [
{
"id": "motorheadMemory_0-output-motorheadMemory-MotorheadMemory|BaseChatMemory|BaseMemory",
"name": "motorheadMemory",
"label": "MotorheadMemory",
"type": "MotorheadMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1515.4202055109095,
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"dragging": false
}
],
"edges": [
{
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"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_0-pineconeUpsert_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "cheerioWebScraper_0",
"sourceHandle": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-document-Document",
"type": "buttonedge",
"id": "cheerioWebScraper_0-cheerioWebScraper_0-output-cheerioWebScraper-Document-pineconeUpsert_0-pineconeUpsert_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "htmlToMarkdownTextSplitter_0",
"sourceHandle": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
"target": "cheerioWebScraper_0",
"targetHandle": "cheerioWebScraper_0-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "htmlToMarkdownTextSplitter_0-htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer-cheerioWebScraper_0-cheerioWebScraper_0-input-textSplitter-TextSplitter",
"data": {
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}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "pineconeUpsert_0",
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"id": "pineconeUpsert_0-pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"label": ""
}
},
{
"source": "motorheadMemory_0",
"sourceHandle": "motorheadMemory_0-output-motorheadMemory-MotorheadMemory|BaseChatMemory|BaseMemory",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-memory-BaseMemory",
"type": "buttonedge",
"id": "motorheadMemory_0-motorheadMemory_0-output-motorheadMemory-MotorheadMemory|BaseChatMemory|BaseMemory-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-memory-BaseMemory",
"data": {
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}
}
]
}
packages/server/marketplaces/chatflows/Zapier NLA.json
+74 -69
View File
@@ -14,6 +14,7 @@
"id": "zapierNLA_0",
"label": "Zapier NLA",
"name": "zapierNLA",
"version": 1,
"type": "ZapierNLA",
"baseClasses": ["ZapierNLA", "Tool"],
"category": "Tools",
@@ -48,27 +49,84 @@
},
{
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"height": 524,
"height": 280,
"id": "mrklAgentLLM_0",
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"y": 329.9701389591812
},
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"id": "mrklAgentLLM_0",
"label": "MRKL Agent for LLMs",
"name": "mrklAgentLLM",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
"description": "Agent that uses the ReAct Framework to decide what action to take, optimized to be used with LLMs",
"inputParams": [],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "mrklAgentLLM_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "mrklAgentLLM_0-input-model-BaseLanguageModel"
}
],
"inputs": {
"tools": ["{{zapierNLA_0.data.instance}}"],
"model": "{{openAI_0.data.instance}}"
},
"outputAnchors": [
{
"id": "mrklAgentLLM_0-output-mrklAgentLLM-AgentExecutor|BaseChain|BaseLangChain",
"name": "mrklAgentLLM",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1002.5779315680477,
"y": 329.9701389591812
},
"selected": false
},
{
"width": 300,
"height": 523,
"id": "openAI_0",
"position": {
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"y": 394.1919189424442
"x": 550.5957793208096,
"y": 378.30370661617934
},
"type": "customNode",
"data": {
"id": "openAI_0",
"label": "OpenAI",
"name": "openAI",
"version": 1,
"type": "OpenAI",
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel", "BaseLangChain"],
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
"category": "LLMs",
"description": "Wrapper around OpenAI large language models",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "openAI_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -179,14 +237,15 @@
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"id": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
"type": "OpenAI | BaseLLM | BaseLanguageModel"
}
],
"outputs": {},
@@ -194,64 +253,10 @@
},
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"positionAbsolute": {
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"y": 394.1919189424442
"x": 550.5957793208096,
"y": 378.30370661617934
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "mrklAgentLLM_0",
"position": {
"x": 1002.5779315680477,
"y": 329.9701389591812
},
"type": "customNode",
"data": {
"id": "mrklAgentLLM_0",
"label": "MRKL Agent for LLMs",
"name": "mrklAgentLLM",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
"description": "Agent that uses the ReAct Framework to decide what action to take, optimized to be used with LLMs",
"inputParams": [],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "mrklAgentLLM_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "mrklAgentLLM_0-input-model-BaseLanguageModel"
}
],
"inputs": {
"tools": ["{{zapierNLA_0.data.instance}}"],
"model": "{{openAI_0.data.instance}}"
},
"outputAnchors": [
{
"id": "mrklAgentLLM_0-output-mrklAgentLLM-AgentExecutor|BaseChain|BaseLangChain",
"name": "mrklAgentLLM",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1002.5779315680477,
"y": 329.9701389591812
},
"selected": false
}
],
"edges": [
@@ -268,11 +273,11 @@
},
{
"source": "openAI_0",
"sourceHandle": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"sourceHandle": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
"target": "mrklAgentLLM_0",
"targetHandle": "mrklAgentLLM_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-mrklAgentLLM_0-mrklAgentLLM_0-input-model-BaseLanguageModel",
"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-mrklAgentLLM_0-mrklAgentLLM_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/package.json
+2
View File
@@ -48,6 +48,7 @@
"@oclif/core": "^1.13.10",
"axios": "^0.27.2",
"cors": "^2.8.5",
"crypto-js": "^4.1.1",
"dotenv": "^16.0.0",
"express": "^4.17.3",
"express-basic-auth": "^1.2.1",
@@ -65,6 +66,7 @@
},
"devDependencies": {
"@types/cors": "^2.8.12",
"@types/crypto-js": "^4.1.1",
"@types/multer": "^1.4.7",
"concurrently": "^7.1.0",
"nodemon": "^2.0.15",
packages/server/src/ChildProcess.ts
+5 -4
View File
@@ -13,6 +13,7 @@ import { DataSource } from 'typeorm'
import { ChatFlow } from './entity/ChatFlow'
import { ChatMessage } from './entity/ChatMessage'
import { Tool } from './entity/Tool'
import { Credential } from './entity/Credential'
import logger from './utils/logger'
export class ChildProcess {
@@ -162,7 +163,7 @@ async function initDB() {
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
@@ -176,7 +177,7 @@ async function initDB() {
database: process.env.DATABASE_NAME,
charset: 'utf8mb4',
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
@@ -189,7 +190,7 @@ async function initDB() {
password: process.env.DATABASE_PASSWORD,
database: process.env.DATABASE_NAME,
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
@@ -199,7 +200,7 @@ async function initDB() {
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
packages/server/src/DataSource.ts
+5 -4
View File
@@ -3,6 +3,7 @@ import path from 'path'
import { DataSource } from 'typeorm'
import { ChatFlow } from './entity/ChatFlow'
import { ChatMessage } from './entity/ChatMessage'
import { Credential } from './entity/Credential'
import { Tool } from './entity/Tool'
import { getUserHome } from './utils'
@@ -18,7 +19,7 @@ export const init = async (): Promise<void> => {
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
@@ -32,7 +33,7 @@ export const init = async (): Promise<void> => {
database: process.env.DATABASE_NAME,
charset: 'utf8mb4',
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
@@ -45,7 +46,7 @@ export const init = async (): Promise<void> => {
password: process.env.DATABASE_PASSWORD,
database: process.env.DATABASE_NAME,
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
@@ -55,7 +56,7 @@ export const init = async (): Promise<void> => {
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize,
entities: [ChatFlow, ChatMessage, Tool],
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
packages/server/src/Interface.ts
+27
View File
@@ -38,10 +38,23 @@ export interface ITool {
createdDate: Date
}
export interface ICredential {
id: string
name: string
credentialName: string
encryptedData: string
updatedDate: Date
createdDate: Date
}
export interface IComponentNodes {
[key: string]: INode
}
export interface IComponentCredentials {
[key: string]: INode
}
export interface IVariableDict {
[key: string]: string
}
@@ -167,3 +180,17 @@ export interface IChildProcessMessage {
key: string
value?: any
}
export type ICredentialDataDecrypted = ICommonObject
// Plain credential object sent to server
export interface ICredentialReqBody {
name: string
credentialName: string
plainDataObj: ICredentialDataDecrypted
}
// Decrypted credential object sent back to client
export interface ICredentialReturnResponse extends ICredential {
plainDataObj: ICredentialDataDecrypted
}
packages/server/src/NodesPool.ts
+42 -4
View File
@@ -1,17 +1,27 @@
import { IComponentNodes } from './Interface'
import { IComponentNodes, IComponentCredentials } from './Interface'
import path from 'path'
import { Dirent } from 'fs'
import { getNodeModulesPackagePath } from './utils'
import { promises } from 'fs'
import { ICommonObject } from 'flowise-components'
export class NodesPool {
componentNodes: IComponentNodes = {}
componentCredentials: IComponentCredentials = {}
private credentialIconPath: ICommonObject = {}
/**
* Initialize to get all nodes
* Initialize to get all nodes & credentials
*/
async initialize() {
await this.initializeNodes()
await this.initializeCrdentials()
}
/**
* Initialize nodes
*/
private async initializeNodes() {
const packagePath = getNodeModulesPackagePath('flowise-components')
const nodesPath = path.join(packagePath, 'dist', 'nodes')
const nodeFiles = await this.getFiles(nodesPath)
@@ -37,6 +47,13 @@ export class NodesPool {
filePath.pop()
const nodeIconAbsolutePath = `${filePath.join('/')}/${newNodeInstance.icon}`
this.componentNodes[newNodeInstance.name].icon = nodeIconAbsolutePath
// Store icon path for componentCredentials
if (newNodeInstance.credential) {
for (const credName of newNodeInstance.credential.credentialNames) {
this.credentialIconPath[credName] = nodeIconAbsolutePath
}
}
}
}
}
@@ -44,12 +61,33 @@ export class NodesPool {
)
}
/**
* Initialize credentials
*/
private async initializeCrdentials() {
const packagePath = getNodeModulesPackagePath('flowise-components')
const nodesPath = path.join(packagePath, 'dist', 'credentials')
const nodeFiles = await this.getFiles(nodesPath)
return Promise.all(
nodeFiles.map(async (file) => {
if (file.endsWith('.credential.js')) {
const credentialModule = await require(file)
if (credentialModule.credClass) {
const newCredInstance = new credentialModule.credClass()
newCredInstance.icon = this.credentialIconPath[newCredInstance.name] ?? ''
this.componentCredentials[newCredInstance.name] = newCredInstance
}
}
})
)
}
/**
* Recursive function to get node files
* @param {string} dir
* @returns {string[]}
*/
async getFiles(dir: string): Promise<string[]> {
private async getFiles(dir: string): Promise<string[]> {
const dirents = await promises.readdir(dir, { withFileTypes: true })
const files = await Promise.all(
dirents.map((dirent: Dirent) => {
packages/server/src/commands/start.ts
+18 -5
View File
@@ -19,8 +19,10 @@ export default class Start extends Command {
FLOWISE_USERNAME: Flags.string(),
FLOWISE_PASSWORD: Flags.string(),
PORT: Flags.string(),
PASSPHRASE: Flags.string(),
DEBUG: Flags.string(),
APIKEY_PATH: Flags.string(),
SECRETKEY_PATH: Flags.string(),
LOG_PATH: Flags.string(),
LOG_LEVEL: Flags.string(),
EXECUTION_MODE: Flags.string(),
@@ -65,14 +67,25 @@ export default class Start extends Command {
})
const { flags } = await this.parse(Start)
if (flags.FLOWISE_USERNAME) process.env.FLOWISE_USERNAME = flags.FLOWISE_USERNAME
if (flags.FLOWISE_PASSWORD) process.env.FLOWISE_PASSWORD = flags.FLOWISE_PASSWORD
if (flags.PORT) process.env.PORT = flags.PORT
if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH
if (flags.LOG_PATH) process.env.LOG_PATH = flags.LOG_PATH
if (flags.LOG_LEVEL) process.env.LOG_LEVEL = flags.LOG_LEVEL
if (flags.EXECUTION_MODE) process.env.EXECUTION_MODE = flags.EXECUTION_MODE
if (flags.DEBUG) process.env.DEBUG = flags.DEBUG
// Authorization
if (flags.FLOWISE_USERNAME) process.env.FLOWISE_USERNAME = flags.FLOWISE_USERNAME
if (flags.FLOWISE_PASSWORD) process.env.FLOWISE_PASSWORD = flags.FLOWISE_PASSWORD
if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH
// Credentials
if (flags.PASSPHRASE) process.env.PASSPHRASE = flags.PASSPHRASE
if (flags.SECRETKEY_PATH) process.env.SECRETKEY_PATH = flags.SECRETKEY_PATH
// Logs
if (flags.LOG_PATH) process.env.LOG_PATH = flags.LOG_PATH
if (flags.LOG_LEVEL) process.env.LOG_LEVEL = flags.LOG_LEVEL
// Tool functions
if (flags.TOOL_FUNCTION_BUILTIN_DEP) process.env.TOOL_FUNCTION_BUILTIN_DEP = flags.TOOL_FUNCTION_BUILTIN_DEP
if (flags.TOOL_FUNCTION_EXTERNAL_DEP) process.env.TOOL_FUNCTION_EXTERNAL_DEP = flags.TOOL_FUNCTION_EXTERNAL_DEP
packages/server/src/entity/ChatFlow.ts
+1 -1
View File
@@ -10,7 +10,7 @@ export class ChatFlow implements IChatFlow {
@Column()
name: string
@Column({ type: "text" })
@Column({ type: 'text' })
flowData: string
@Column({ nullable: true })
packages/server/src/entity/ChatMessage.ts
+1 -1
View File
@@ -14,7 +14,7 @@ export class ChatMessage implements IChatMessage {
@Column()
chatflowid: string
@Column({ type: "text" })
@Column({ type: 'text' })
content: string
@Column({ nullable: true })
packages/server/src/entity/Credential.ts
+24
View File
@@ -0,0 +1,24 @@
/* eslint-disable */
import { Entity, Column, PrimaryGeneratedColumn, Index, CreateDateColumn, UpdateDateColumn } from 'typeorm'
import { ICredential } from '../Interface'
@Entity()
export class Credential implements ICredential {
@PrimaryGeneratedColumn('uuid')
id: string
@Column()
name: string
@Column()
credentialName: string
@Column()
encryptedData: string
@CreateDateColumn()
createdDate: Date
@UpdateDateColumn()
updatedDate: Date
}
packages/server/src/entity/Tool.ts
+1 -1
View File
@@ -10,7 +10,7 @@ export class Tool implements ITool {
@Column()
name: string
@Column({ type: "text" })
@Column({ type: 'text' })
description: string
@Column()
packages/server/src/index.ts
+155 -6
View File
@@ -17,7 +17,8 @@ import {
INodeData,
IDatabaseExport,
IRunChatflowMessageValue,
IChildProcessMessage
IChildProcessMessage,
ICredentialReturnResponse
} from './Interface'
import {
getNodeModulesPackagePath,
@@ -40,18 +41,21 @@ import {
isVectorStoreFaiss,
databaseEntities,
getApiKey,
transformToCredentialEntity,
decryptCredentialData,
clearSessionMemory,
replaceInputsWithConfig
} from './utils'
import { cloneDeep } from 'lodash'
import { cloneDeep, omit } from 'lodash'
import { getDataSource } from './DataSource'
import { NodesPool } from './NodesPool'
import { ChatFlow } from './entity/ChatFlow'
import { ChatMessage } from './entity/ChatMessage'
import { Credential } from './entity/Credential'
import { Tool } from './entity/Tool'
import { ChatflowPool } from './ChatflowPool'
import { ICommonObject, INodeOptionsValue } from 'flowise-components'
import { fork } from 'child_process'
import { Tool } from './entity/Tool'
export class App {
app: express.Application
@@ -69,10 +73,11 @@ export class App {
.then(async () => {
logger.info('📦 [server]: Data Source has been initialized!')
// Initialize pools
// Initialize nodes pool
this.nodesPool = new NodesPool()
await this.nodesPool.initialize()
// Initialize chatflow pool
this.chatflowPool = new ChatflowPool()
// Initialize API keys
@@ -106,6 +111,7 @@ export class App {
'/api/v1/public-chatflows',
'/api/v1/prediction/',
'/api/v1/node-icon/',
'/api/v1/components-credentials-icon/',
'/api/v1/chatflows-streaming'
]
this.app.use((req, res, next) => {
@@ -118,7 +124,7 @@ export class App {
const upload = multer({ dest: `${path.join(__dirname, '..', 'uploads')}/` })
// ----------------------------------------
// Nodes
// Components
// ----------------------------------------
// Get all component nodes
@@ -131,6 +137,16 @@ export class App {
return res.json(returnData)
})
// Get all component credentials
this.app.get('/api/v1/components-credentials', async (req: Request, res: Response) => {
const returnData = []
for (const credName in this.nodesPool.componentCredentials) {
const clonedCred = cloneDeep(this.nodesPool.componentCredentials[credName])
returnData.push(clonedCred)
}
return res.json(returnData)
})
// Get specific component node via name
this.app.get('/api/v1/nodes/:name', (req: Request, res: Response) => {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentNodes, req.params.name)) {
@@ -140,6 +156,27 @@ export class App {
}
})
// Get component credential via name
this.app.get('/api/v1/components-credentials/:name', (req: Request, res: Response) => {
if (!req.params.name.includes('&')) {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentCredentials, req.params.name)) {
return res.json(this.nodesPool.componentCredentials[req.params.name])
} else {
throw new Error(`Credential ${req.params.name} not found`)
}
} else {
const returnResponse = []
for (const name of req.params.name.split('&')) {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentCredentials, name)) {
returnResponse.push(this.nodesPool.componentCredentials[name])
} else {
throw new Error(`Credential ${name} not found`)
}
}
return res.json(returnResponse)
}
})
// Returns specific component node icon via name
this.app.get('/api/v1/node-icon/:name', (req: Request, res: Response) => {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentNodes, req.params.name)) {
@@ -159,6 +196,25 @@ export class App {
}
})
// Returns specific component credential icon via name
this.app.get('/api/v1/components-credentials-icon/:name', (req: Request, res: Response) => {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentCredentials, req.params.name)) {
const credInstance = this.nodesPool.componentCredentials[req.params.name]
if (credInstance.icon === undefined) {
throw new Error(`Credential ${req.params.name} icon not found`)
}
if (credInstance.icon.endsWith('.svg') || credInstance.icon.endsWith('.png') || credInstance.icon.endsWith('.jpg')) {
const filepath = credInstance.icon
res.sendFile(filepath)
} else {
throw new Error(`Credential ${req.params.name} icon is missing icon`)
}
} else {
throw new Error(`Credential ${req.params.name} not found`)
}
})
// load async options
this.app.post('/api/v1/node-load-method/:name', async (req: Request, res: Response) => {
const nodeData: INodeData = req.body
@@ -350,6 +406,91 @@ export class App {
return res.json(results)
})
// ----------------------------------------
// Credentials
// ----------------------------------------
// Create new credential
this.app.post('/api/v1/credentials', async (req: Request, res: Response) => {
const body = req.body
const newCredential = await transformToCredentialEntity(body)
const credential = this.AppDataSource.getRepository(Credential).create(newCredential)
const results = await this.AppDataSource.getRepository(Credential).save(credential)
return res.json(results)
})
// Get all credentials
this.app.get('/api/v1/credentials', async (req: Request, res: Response) => {
if (req.query.credentialName) {
let returnCredentials = []
if (Array.isArray(req.query.credentialName)) {
for (let i = 0; i < req.query.credentialName.length; i += 1) {
const name = req.query.credentialName[i] as string
const credentials = await this.AppDataSource.getRepository(Credential).findBy({
credentialName: name
})
returnCredentials.push(...credentials)
}
} else {
const credentials = await this.AppDataSource.getRepository(Credential).findBy({
credentialName: req.query.credentialName as string
})
returnCredentials = [...credentials]
}
return res.json(returnCredentials)
} else {
const credentials = await this.AppDataSource.getRepository(Credential).find()
const returnCredentials = []
for (const credential of credentials) {
returnCredentials.push(omit(credential, ['encryptedData']))
}
return res.json(returnCredentials)
}
})
// Get specific credential
this.app.get('/api/v1/credentials/:id', async (req: Request, res: Response) => {
const credential = await this.AppDataSource.getRepository(Credential).findOneBy({
id: req.params.id
})
if (!credential) return res.status(404).send(`Credential ${req.params.id} not found`)
// Decrpyt credentialData
const decryptedCredentialData = await decryptCredentialData(
credential.encryptedData,
credential.credentialName,
this.nodesPool.componentCredentials
)
const returnCredential: ICredentialReturnResponse = {
...credential,
plainDataObj: decryptedCredentialData
}
return res.json(omit(returnCredential, ['encryptedData']))
})
// Update credential
this.app.put('/api/v1/credentials/:id', async (req: Request, res: Response) => {
const credential = await this.AppDataSource.getRepository(Credential).findOneBy({
id: req.params.id
})
if (!credential) return res.status(404).send(`Credential ${req.params.id} not found`)
const body = req.body
const updateCredential = await transformToCredentialEntity(body)
this.AppDataSource.getRepository(Credential).merge(credential, updateCredential)
const result = await this.AppDataSource.getRepository(Credential).save(credential)
return res.json(result)
})
// Delete all chatmessages from chatflowid
this.app.delete('/api/v1/credentials/:id', async (req: Request, res: Response) => {
const results = await this.AppDataSource.getRepository(Credential).delete({ id: req.params.id })
return res.json(results)
})
// ----------------------------------------
// Tools
// ----------------------------------------
@@ -419,7 +560,13 @@ export class App {
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const availableConfigs = findAvailableConfigs(nodes)
const availableConfigs = findAvailableConfigs(nodes, this.nodesPool.componentCredentials)
return res.json(availableConfigs)
})
this.app.post('/api/v1/node-config', async (req: Request, res: Response) => {
const nodes = [{ data: req.body }] as IReactFlowNode[]
const availableConfigs = findAvailableConfigs(nodes, this.nodesPool.componentCredentials)
return res.json(availableConfigs)
})
@@ -509,6 +656,8 @@ export class App {
}
templates.push(template)
})
const FlowiseDocsQnA = templates.find((tmp) => tmp.name === 'Flowise Docs QnA')
if (FlowiseDocsQnA) templates.unshift(FlowiseDocsQnA)
return res.json(templates)
})
packages/server/src/utils/index.ts
+146 -5
View File
@@ -13,18 +13,26 @@ import {
IReactFlowNode,
IVariableDict,
INodeData,
IOverrideConfig
IOverrideConfig,
ICredentialDataDecrypted,
IComponentCredentials,
ICredentialReqBody
} from '../Interface'
import { cloneDeep, get, omit, merge } from 'lodash'
import { ICommonObject, getInputVariables, IDatabaseEntity, handleEscapeCharacters } from 'flowise-components'
import { scryptSync, randomBytes, timingSafeEqual } from 'crypto'
import { lib, PBKDF2, AES, enc } from 'crypto-js'
import { ChatFlow } from '../entity/ChatFlow'
import { ChatMessage } from '../entity/ChatMessage'
import { Credential } from '../entity/Credential'
import { Tool } from '../entity/Tool'
import { DataSource } from 'typeorm'
const QUESTION_VAR_PREFIX = 'question'
export const databaseEntities: IDatabaseEntity = { ChatFlow: ChatFlow, ChatMessage: ChatMessage, Tool: Tool }
const REDACTED_CREDENTIAL_VALUE = '_FLOWISE_BLANK_07167752-1a71-43b1-bf8f-4f32252165db'
export const databaseEntities: IDatabaseEntity = { ChatFlow: ChatFlow, ChatMessage: ChatMessage, Tool: Tool, Credential: Credential }
/**
* Returns the home folder path of the user if
@@ -660,11 +668,12 @@ export const mapMimeTypeToInputField = (mimeType: string) => {
}
/**
* Find all available inpur params config
* Find all available input params config
* @param {IReactFlowNode[]} reactFlowNodes
* @returns {Promise<IOverrideConfig[]>}
* @param {IComponentCredentials} componentCredentials
* @returns {IOverrideConfig[]}
*/
export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[]) => {
export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[], componentCredentials: IComponentCredentials) => {
const configs: IOverrideConfig[] = []
for (const flowNode of reactFlowNodes) {
@@ -690,6 +699,23 @@ export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[]) => {
.join(', ')
: 'string'
}
} else if (inputParam.type === 'credential') {
// get component credential inputs
for (const name of inputParam.credentialNames ?? []) {
if (Object.prototype.hasOwnProperty.call(componentCredentials, name)) {
const inputs = componentCredentials[name]?.inputs ?? []
for (const input of inputs) {
obj = {
node: flowNode.data.label,
label: input.label,
name: input.name,
type: input.type === 'password' ? 'string' : input.type
}
configs.push(obj)
}
}
}
continue
} else {
obj = {
node: flowNode.data.label,
@@ -742,3 +768,118 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod
return isChatOrLLMsExist && isValidChainOrAgent && !isVectorStoreFaiss(endingNodeData) && process.env.EXECUTION_MODE !== 'child'
}
/**
* Returns the path of encryption key
* @returns {string}
*/
export const getEncryptionKeyPath = (): string => {
return process.env.SECRETKEY_PATH
? path.join(process.env.SECRETKEY_PATH, 'encryption.key')
: path.join(__dirname, '..', '..', 'encryption.key')
}
/**
* Generate an encryption key
* @returns {string}
*/
export const generateEncryptKey = (): string => {
const salt = lib.WordArray.random(128 / 8)
const key256Bits = PBKDF2(process.env.PASSPHRASE || 'MYPASSPHRASE', salt, {
keySize: 256 / 32,
iterations: 1000
})
return key256Bits.toString()
}
/**
* Returns the encryption key
* @returns {Promise<string>}
*/
export const getEncryptionKey = async (): Promise<string> => {
try {
return await fs.promises.readFile(getEncryptionKeyPath(), 'utf8')
} catch (error) {
const encryptKey = generateEncryptKey()
await fs.promises.writeFile(getEncryptionKeyPath(), encryptKey)
return encryptKey
}
}
/**
* Encrypt credential data
* @param {ICredentialDataDecrypted} plainDataObj
* @returns {Promise<string>}
*/
export const encryptCredentialData = async (plainDataObj: ICredentialDataDecrypted): Promise<string> => {
const encryptKey = await getEncryptionKey()
return AES.encrypt(JSON.stringify(plainDataObj), encryptKey).toString()
}
/**
* Decrypt credential data
* @param {string} encryptedData
* @param {string} componentCredentialName
* @param {IComponentCredentials} componentCredentials
* @returns {Promise<ICredentialDataDecrypted>}
*/
export const decryptCredentialData = async (
encryptedData: string,
componentCredentialName?: string,
componentCredentials?: IComponentCredentials
): Promise<ICredentialDataDecrypted> => {
const encryptKey = await getEncryptionKey()
const decryptedData = AES.decrypt(encryptedData, encryptKey)
try {
if (componentCredentialName && componentCredentials) {
const plainDataObj = JSON.parse(decryptedData.toString(enc.Utf8))
return redactCredentialWithPasswordType(componentCredentialName, plainDataObj, componentCredentials)
}
return JSON.parse(decryptedData.toString(enc.Utf8))
} catch (e) {
console.error(e)
throw new Error('Credentials could not be decrypted.')
}
}
/**
* Transform ICredentialBody from req to Credential entity
* @param {ICredentialReqBody} body
* @returns {Credential}
*/
export const transformToCredentialEntity = async (body: ICredentialReqBody): Promise<Credential> => {
const encryptedData = await encryptCredentialData(body.plainDataObj)
const credentialBody = {
name: body.name,
credentialName: body.credentialName,
encryptedData
}
const newCredential = new Credential()
Object.assign(newCredential, credentialBody)
return newCredential
}
/**
* Redact values that are of password type to avoid sending back to client
* @param {string} componentCredentialName
* @param {ICredentialDataDecrypted} decryptedCredentialObj
* @param {IComponentCredentials} componentCredentials
* @returns {ICredentialDataDecrypted}
*/
export const redactCredentialWithPasswordType = (
componentCredentialName: string,
decryptedCredentialObj: ICredentialDataDecrypted,
componentCredentials: IComponentCredentials
): ICredentialDataDecrypted => {
const plainDataObj = cloneDeep(decryptedCredentialObj)
for (const cred in plainDataObj) {
const inputParam = componentCredentials[componentCredentialName].inputs?.find((inp) => inp.type === 'password' && inp.name === cred)
if (inputParam) {
plainDataObj[cred] = REDACTED_CREDENTIAL_VALUE
}
}
return plainDataObj
}
packages/server/src/utils/logger.ts
+2 -1
View File
@@ -85,7 +85,8 @@ export function expressRequestLogger(req: Request, res: Response, next: NextFunc
GET: '⬇️',
POST: '⬆️',
PUT: '🖊',
DELETE: '❌'
DELETE: '❌',
OPTION: '🔗'
}
return requetsEmojis[method] || '?'