farcasclaudiu/Flowise
1
0
Fork 0
mirror of https://github.com/farcasclaudiu/Flowise.git synced 2026-06-29 19:01:12 +03:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'main' into feature/Milvus

Browse Source 
# Conflicts:
#	packages/components/package.json
This commit is contained in:
Henry
2023-08-17 21:22:05 +01:00
parent 75360df34d c33a4a78d6
commit bfa14fb290
379 changed files with 32444 additions and 6672 deletions
Download Patch File Download Diff File Expand all files Collapse all files
packages/server/.env.example
+25 -3
View File
@@ -1,4 +1,26 @@
PORT=3000
# USERNAME=user
# PASSWORD=1234
# EXECUTION_MODE=child or main
PASSPHRASE=MYPASSPHRASE # Passphrase used to create encryption key
# DATABASE_PATH=/your_database_path/.flowise
# 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
# LOG_LEVEL=debug (error | warn | info | verbose | debug)
# TOOL_FUNCTION_BUILTIN_DEP=crypto,fs
# TOOL_FUNCTION_EXTERNAL_DEP=moment,lodash
# LANGCHAIN_TRACING_V2=true
# LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
# LANGCHAIN_API_KEY=your_api_key
# LANGCHAIN_PROJECT=your_project
packages/server/README-ZH.md
+100
View File
@@ -0,0 +1,100 @@
<!-- markdownlint-disable MD030 -->
# Flowise - 低代码 LLM 应用程序构建器
[English](./README.md) | 中文
![Flowise](https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.gif?raw=true)
拖放界面来构建自定义的 LLM 流程
## ⚡ 快速入门
1. 安装 Flowise
```bash
npm install -g flowise
```
2. 启动 Flowise
```bash
npx flowise start
```
3. 打开[http://localhost:3000](http://localhost:3000)
## 🔒 身份验证
要启用应用级身份验证，请将`FLOWISE_USERNAME`和`FLOWISE_PASSWORD`添加到`.env`文件中：
```
FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234
```
## 🌱 环境变量
Flowise 支持不同的环境变量来配置您的实例。您可以在`packages/server`文件夹中的`.env`文件中指定以下变量。阅读[更多](https://docs.flowiseai.com/environment-variables)
| 变量 | 描述 | 类型 | 默认值 |
| -------------------------- | ------------------------------------------------------ | ----------------------------------------------- | ----------------------------------- |
| PORT | Flowise 运行的 HTTP 端口 | 数字 | 3000 |
| FLOWISE_USERNAME | 登录的用户名 | 字符串 | |
| FLOWISE_PASSWORD | 登录的密码 | 字符串 | |
| DEBUG | 打印组件的日志 | 布尔值 | |
| LOG_PATH | 存储日志文件的位置 | 字符串 | `your-path/Flowise/logs` |
| LOG_LEVEL | 日志的不同级别 | 枚举字符串：`error`、`info`、`verbose`、`debug` | `info` |
| APIKEY_PATH | 存储 API 密钥的位置 | 字符串 | `your-path/Flowise/packages/server` |
| TOOL_FUNCTION_BUILTIN_DEP | 用于工具函数的 NodeJS 内置模块 | 字符串 | |
| TOOL_FUNCTION_EXTERNAL_DEP | 用于工具函数的外部模块 | 字符串 | |
| OVERRIDE_DATABASE | 使用默认值覆盖当前数据库 | 枚举字符串：`true`、`false` | `true` |
| DATABASE_TYPE | 存储 flowise 数据的数据库类型 | 枚举字符串：`sqlite`、`mysql`、`postgres` | `sqlite` |
| DATABASE_PATH | 数据库的保存位置（当 DATABASE_TYPE 为 sqlite 时） | 字符串 | `your-home-dir/.flowise` |
| DATABASE_HOST | 主机 URL 或 IP 地址（当 DATABASE_TYPE 不为 sqlite 时） | 字符串 | |
| DATABASE_PORT | 数据库端口（当 DATABASE_TYPE 不为 sqlite 时） | 字符串 | |
| DATABASE_USERNAME | 数据库用户名（当 DATABASE_TYPE 不为 sqlite 时） | 字符串 | |
| DATABASE_PASSWORD | 数据库密码（当 DATABASE_TYPE 不为 sqlite 时） | 字符串 | |
| DATABASE_NAME | 数据库名称（当 DATABASE_TYPE 不为 sqlite 时） | 字符串 | |
您还可以在使用`npx`时指定环境变量。例如：
```
npx flowise start --PORT=3000 --DEBUG=true
```
## 📖 文档
[Flowise 文档](https://docs.flowiseai.com/)
## 🌐 自托管
### [Railway](https://docs.flowiseai.com/deployment/railway)
[![在Railway上部署](https://railway.app/button.svg)](https://railway.app/template/YK7J0v)
### [Render](https://docs.flowiseai.com/deployment/render)
[![部署到Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/deployment/render)
### [AWS](https://docs.flowiseai.com/deployment/aws)
### [Azure](https://docs.flowiseai.com/deployment/azure)
### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean)
### [GCP](https://docs.flowiseai.com/deployment/gcp)
## 💻 云托管
即将推出
## 🙋 支持
在[讨论区](https://github.com/FlowiseAI/Flowise/discussions)中随时提出任何问题、报告问题和请求新功能。
## 🙌 贡献
请参阅[贡献指南](https://github.com/FlowiseAI/Flowise/blob/master/CONTRIBUTING.md)。如果您有任何问题或问题，请在[Discord](https://discord.gg/jbaHfsRVBW)上与我们联系。
## 📄 许可证
本仓库中的源代码在[MIT 许可证](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md)下提供。
packages/server/README.md
+36 -10
View File
@@ -1,10 +1,12 @@
<!-- markdownlint-disable MD030 -->
# Flowise - LangchainJS UI
# Flowise - Low-Code LLM apps builder
English | [中文](./README-ZH.md)
![Flowise](https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.gif?raw=true)
Drag & drop UI to build your customized LLM flow using [LangchainJS](https://github.com/hwchase17/langchainjs)
Drag & drop UI to build your customized LLM flow
## ⚡Quick Start
@@ -22,23 +24,47 @@ Drag & drop UI to build your customized LLM flow using [LangchainJS](https://git
## 🔒 Authentication
To enable app level authentication, add `USERNAME` and `PASSWORD` to the `.env` file:
To enable app level authentication, add `FLOWISE_USERNAME` and `FLOWISE_PASSWORD` to the `.env` file:
```
USERNAME=user
PASSWORD=1234
FLOWISE_USERNAME=user
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://github.com/FlowiseAI/Flowise/blob/main/CONTRIBUTING.md#-env-variables)
You can also specify the env variables when using `npx`. For example:
```
npx flowise start --PORT=3000 --DEBUG=true
```
## 📖 Documentation
Coming Soon
## 💻 Cloud Hosted
Coming Soon
[Flowise Docs](https://docs.flowiseai.com/)
## 🌐 Self Host
### [Railway](https://docs.flowiseai.com/deployment/railway)
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/YK7J0v)
### [Render](https://docs.flowiseai.com/deployment/render)
[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/deployment/render)
### [AWS](https://docs.flowiseai.com/deployment/aws)
### [Azure](https://docs.flowiseai.com/deployment/azure)
### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean)
### [GCP](https://docs.flowiseai.com/deployment/gcp)
## 💻 Cloud Hosted
Coming Soon
## 🙋 Support
packages/server/marketplaces/chatflows/API Agent OpenAI.json
+650
View File
@@ -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
+1015
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/Antonym.json → packages/server/marketplaces/chatflows/Antonym.json
+219 -209
View File
@@ -3,68 +3,7 @@
"nodes": [
{
"width": 300,
"height": 534,
"id": "promptTemplate_1",
"position": {
"x": 532.2791692529131,
"y": -31.128527027841372
},
"type": "customNode",
"data": {
"id": "promptTemplate_1",
"label": "Prompt Template",
"name": "promptTemplate",
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_1-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "string",
"rows": 4,
"placeholder": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_1-input-promptValues-string"
}
],
"inputAnchors": [],
"inputs": {
"template": "Word: {word}\\nAntonym: {antonym}\\n",
"promptValues": ""
},
"outputAnchors": [
{
"id": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 532.2791692529131,
"y": -31.128527027841372
},
"dragging": false
},
{
"width": 300,
"height": 956,
"height": 955,
"id": "fewShotPromptTemplate_1",
"position": {
"x": 886.3229032369354,
@@ -75,6 +14,7 @@
"id": "fewShotPromptTemplate_1",
"label": "Few Shot Prompt Template",
"name": "fewShotPromptTemplate",
"version": 1,
"type": "FewShotPromptTemplate",
"baseClasses": ["FewShotPromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
@@ -139,7 +79,7 @@
],
"inputs": {
"examples": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" }\n]",
"examplePrompt": "{{promptTemplate_1.data.instance}}",
"examplePrompt": "{{promptTemplate_0.data.instance}}",
"prefix": "Give the antonym of every input",
"suffix": "Word: {input}\\nAntonym:",
"exampleSeparator": "\\n\\n",
@@ -165,137 +105,52 @@
},
{
"width": 300,
"height": 526,
"id": "openAI_1",
"height": 475,
"id": "promptTemplate_0",
"position": {
"x": 1224.5139327142097,
"y": -30.864315286062364
"x": 540.0140796251119,
"y": -33.31673494170347
},
"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",
"id": "promptTemplate_0",
"label": "Prompt Template",
"name": "promptTemplate",
"version": 1,
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "openAI_1-input-openAIApiKey-password"
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_0-input-template-string"
},
{
"label": "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",
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"id": "openAI_1-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.7,
"optional": true,
"id": "openAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-timeout-number"
"acceptVariable": true,
"list": true,
"id": "promptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"temperature": 0.7,
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
"template": "Word: {word}\\nAntonym: {antonym}\\n",
"promptValues": ""
},
"outputAnchors": [
{
"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
@@ -303,26 +158,181 @@
},
"selected": false,
"positionAbsolute": {
"x": 1224.5139327142097,
"y": -30.864315286062364
"x": 540.0140796251119,
"y": -33.31673494170347
},
"dragging": false
},
{
"width": 300,
"height": 407,
"id": "llmChain_1",
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1635.363191180743,
"y": 450.00105475193766
"x": 1226.7977900193628,
"y": 48.01100655894436
},
"type": "customNode",
"data": {
"id": "llmChain_1",
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1226.7977900193628,
"y": 48.01100655894436
},
"dragging": false
},
{
"width": 300,
"height": 405,
"id": "llmChain_0",
"position": {
"x": 1573.7490072386481,
"y": 429.1905949837192
},
"type": "customNode",
"data": {
"id": "llmChain_0",
"label": "LLM Chain",
"name": "llmChain",
"version": 1,
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"baseClasses": ["LLMChain", "BaseChain"],
"category": "Chains",
"description": "Chain to run queries against LLMs",
"inputParams": [
@@ -332,7 +342,7 @@
"type": "string",
"placeholder": "Name Your Chain",
"optional": true,
"id": "llmChain_1-input-chainName-string"
"id": "llmChain_0-input-chainName-string"
}
],
"inputAnchors": [
@@ -340,17 +350,17 @@
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "llmChain_1-input-model-BaseLanguageModel"
"id": "llmChain_0-input-model-BaseLanguageModel"
},
{
"label": "Prompt",
"name": "prompt",
"type": "BasePromptTemplate",
"id": "llmChain_1-input-prompt-BasePromptTemplate"
"id": "llmChain_0-input-prompt-BasePromptTemplate"
}
],
"inputs": {
"model": "{{openAI_1.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"prompt": "{{fewShotPromptTemplate_1.data.instance}}",
"chainName": ""
},
@@ -361,16 +371,16 @@
"type": "options",
"options": [
{
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain",
"name": "llmChain",
"label": "LLM Chain",
"type": "LLMChain | BaseChain | BaseLangChain"
"type": "LLMChain | BaseChain"
},
{
"id": "llmChain_1-output-outputPrediction-string",
"id": "llmChain_0-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string"
"type": "string | json"
}
],
"default": "llmChain"
@@ -381,33 +391,33 @@
},
"selected": false
},
"positionAbsolute": {
"x": 1635.363191180743,
"y": 450.00105475193766
},
"selected": false,
"positionAbsolute": {
"x": 1573.7490072386481,
"y": 429.1905949837192
},
"dragging": false
}
],
"edges": [
{
"source": "promptTemplate_1",
"sourceHandle": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"source": "promptTemplate_0",
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"target": "fewShotPromptTemplate_1",
"targetHandle": "fewShotPromptTemplate_1-input-examplePrompt-PromptTemplate",
"type": "buttonedge",
"id": "promptTemplate_1-promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-fewShotPromptTemplate_1-fewShotPromptTemplate_1-input-examplePrompt-PromptTemplate",
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-fewShotPromptTemplate_1-fewShotPromptTemplate_1-input-examplePrompt-PromptTemplate",
"data": {
"label": ""
}
},
{
"source": "openAI_1",
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "llmChain_0",
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
@@ -415,10 +425,10 @@
{
"source": "fewShotPromptTemplate_1",
"sourceHandle": "fewShotPromptTemplate_1-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"target": "llmChain_0",
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "fewShotPromptTemplate_1-fewShotPromptTemplate_1-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"id": "fewShotPromptTemplate_1-fewShotPromptTemplate_1-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
packages/server/marketplaces/AutoGPT.json → packages/server/marketplaces/chatflows/AutoGPT.json
+273 -226
View File
@@ -3,7 +3,7 @@
"nodes": [
{
"width": 300,
"height": 629,
"height": 627,
"id": "autoGPT_0",
"position": {
"x": 1627.8124366169843,
@@ -14,6 +14,7 @@
"id": "autoGPT_0",
"label": "AutoGPT",
"name": "autoGPT",
"version": 1,
"type": "AutoGPT",
"baseClasses": ["AutoGPT"],
"category": "Agents",
@@ -67,8 +68,8 @@
],
"inputs": {
"tools": ["{{readFile_0.data.instance}}", "{{writeFile_1.data.instance}}", "{{serpAPI_0.data.instance}}"],
"model": "{{chatOpenAI_1.data.instance}}",
"vectorStoreRetriever": "{{pineconeExistingIndex_1.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{pineconeExistingIndex_0.data.instance}}",
"aiName": "",
"aiRole": "",
"maxLoop": 5
@@ -93,148 +94,18 @@
},
{
"width": 300,
"height": 526,
"id": "chatOpenAI_1",
"position": {
"x": 168.57515834535457,
"y": -90.74139976987627
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"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": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"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-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0301",
"name": "gpt-3.5-turbo-0301"
}
],
"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"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 168.57515834535457,
"y": -90.74139976987627
},
"dragging": false
},
{
"width": 300,
"height": 279,
"height": 278,
"id": "writeFile_1",
"position": {
"x": 546.3440710182241,
"y": 55.28691941459434
"x": 539.4976647298655,
"y": 36.45930212160803
},
"type": "customNode",
"data": {
"id": "writeFile_1",
"label": "Write File",
"name": "writeFile",
"version": 1,
"type": "WriteFile",
"baseClasses": ["WriteFile", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@@ -265,15 +136,15 @@
"selected": false
},
"positionAbsolute": {
"x": 546.3440710182241,
"y": 55.28691941459434
"x": 539.4976647298655,
"y": 36.45930212160803
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 279,
"height": 278,
"id": "readFile_0",
"position": {
"x": 881.2568465391292,
@@ -284,6 +155,7 @@
"id": "readFile_0",
"label": "Read File",
"name": "readFile",
"version": 1,
"type": "ReadFile",
"baseClasses": ["ReadFile", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@@ -322,37 +194,39 @@
},
{
"width": 300,
"height": 279,
"height": 277,
"id": "serpAPI_0",
"position": {
"x": 1244.740380161344,
"y": -193.9135818023827
"x": 1247.066832724479,
"y": -193.77467220135756
},
"type": "customNode",
"data": {
"id": "serpAPI_0",
"label": "Serp API",
"name": "serpAPI",
"version": 1,
"type": "SerpAPI",
"baseClasses": ["SerpAPI", "Tool", "StructuredTool", "BaseLangChain"],
"baseClasses": ["SerpAPI", "Tool", "StructuredTool"],
"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_0-input-apiKey-password"
"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|BaseLangChain",
"id": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
"name": "serpAPI",
"label": "SerpAPI",
"type": "SerpAPI | Tool | StructuredTool | BaseLangChain"
"type": "SerpAPI | Tool | StructuredTool"
}
],
"outputs": {},
@@ -360,34 +234,190 @@
},
"selected": false,
"positionAbsolute": {
"x": 1244.740380161344,
"y": -193.9135818023827
"x": 1247.066832724479,
"y": -193.77467220135756
},
"dragging": false
},
{
"width": 300,
"height": 331,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 176.69787776192283,
"y": -116.3808686218022
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 176.69787776192283,
"y": -116.3808686218022
},
"dragging": false
},
{
"width": 300,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": 530.4714276286077,
"y": 487.0228196121594
"x": 606.7317612889267,
"y": 439.5269912996025
},
"type": "customNode",
"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",
@@ -412,13 +442,22 @@
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
@@ -431,56 +470,53 @@
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 530.4714276286077,
"y": 487.0228196121594
},
"selected": false,
"positionAbsolute": {
"x": 606.7317612889267,
"y": 439.5269912996025
},
"dragging": false
},
{
"width": 300,
"height": 652,
"id": "pineconeExistingIndex_1",
"height": 505,
"id": "pineconeExistingIndex_0",
"position": {
"x": 943.1601557586332,
"y": 404.9622062733608
"x": 1001.3784758268554,
"y": 415.24072209485803
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_1",
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"name": "pineconeExistingIndex",
"version": 1,
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Pinecone Api Key",
"name": "pineconeApiKey",
"type": "password",
"id": "pineconeExistingIndex_1-input-pineconeApiKey-password"
},
{
"label": "Pinecone Environment",
"name": "pineconeEnv",
"type": "string",
"id": "pineconeExistingIndex_1-input-pineconeEnv-string"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_1-input-pineconeIndex-string"
"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"id": "pineconeExistingIndex_1-input-pineconeNamespace-string"
"id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
},
{
"label": "Pinecone Metadata Filter",
@@ -488,7 +524,17 @@
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pineconeExistingIndex_1-input-pineconeMetadataFilter-json"
"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": [
@@ -496,14 +542,15 @@
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeExistingIndex_1-input-embeddings-Embeddings"
"id": "pineconeExistingIndex_0-input-embeddings-Embeddings"
}
],
"inputs": {
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"pineconeEnv": "us-west4-gcp",
"pineconeIndex": "",
"pineconeNamespace": ""
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
},
"outputAnchors": [
{
@@ -512,13 +559,13 @@
"type": "options",
"options": [
{
"id": "pineconeExistingIndex_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"id": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
},
{
"id": "pineconeExistingIndex_1-output-vectorStore-Pinecone|VectorStore",
"id": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
"name": "vectorStore",
"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
@@ -533,47 +580,14 @@
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 943.1601557586332,
"y": 404.9622062733608
},
"dragging": false
"x": 1001.3784758268554,
"y": 415.24072209485803
}
}
],
"edges": [
{
"source": "pineconeExistingIndex_1",
"sourceHandle": "pineconeExistingIndex_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "autoGPT_0",
"targetHandle": "autoGPT_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "pineconeExistingIndex_1-pineconeExistingIndex_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-autoGPT_0-autoGPT_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"label": ""
}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeExistingIndex_1",
"targetHandle": "pineconeExistingIndex_1-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_1-pineconeExistingIndex_1-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "autoGPT_0",
"targetHandle": "autoGPT_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-autoGPT_0-autoGPT_0-input-model-BaseChatModel",
"data": {
"label": ""
}
},
{
"source": "writeFile_1",
"sourceHandle": "writeFile_1-output-writeFile-WriteFile|Tool|StructuredTool|BaseLangChain",
@@ -596,13 +610,46 @@
"label": ""
}
},
{
"source": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "autoGPT_0",
"targetHandle": "autoGPT_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-autoGPT_0-autoGPT_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"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": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "autoGPT_0",
"targetHandle": "autoGPT_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-autoGPT_0-autoGPT_0-input-model-BaseChatModel",
"data": {
"label": ""
}
},
{
"source": "serpAPI_0",
"sourceHandle": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain",
"sourceHandle": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
"target": "autoGPT_0",
"targetHandle": "autoGPT_0-input-tools-Tool",
"type": "buttonedge",
"id": "serpAPI_0-serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain-autoGPT_0-autoGPT_0-input-tools-Tool",
"id": "serpAPI_0-serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool-autoGPT_0-autoGPT_0-input-tools-Tool",
"data": {
"label": ""
}
packages/server/marketplaces/BabyAGI.json → packages/server/marketplaces/chatflows/BabyAGI.json
+376 -333
View File
@@ -3,312 +3,7 @@
"nodes": [
{
"width": 300,
"height": 331,
"id": "openAIEmbeddings_1",
"position": {
"x": -84.60344342694289,
"y": -189.6930708050951
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_1",
"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"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": -84.60344342694289,
"y": -189.6930708050951
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 652,
"id": "pineconeExistingIndex_1",
"position": {
"x": 264.729293346415,
"y": -190.36689763560724
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_1",
"label": "Pinecone Load Existing Index",
"name": "pineconeExistingIndex",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Pinecone Api Key",
"name": "pineconeApiKey",
"type": "password",
"id": "pineconeExistingIndex_1-input-pineconeApiKey-password"
},
{
"label": "Pinecone Environment",
"name": "pineconeEnv",
"type": "string",
"id": "pineconeExistingIndex_1-input-pineconeEnv-string"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_1-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"optional": true,
"id": "pineconeExistingIndex_1-input-pineconeNamespace-string"
},
{
"label": "Pinecone Metadata Filter",
"name": "pineconeMetadataFilter",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "pineconeExistingIndex_1-input-pineconeMetadataFilter-json"
}
],
"inputAnchors": [
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeExistingIndex_1-input-embeddings-Embeddings"
}
],
"inputs": {
"embeddings": "{{openAIEmbeddings_1.data.instance}}",
"pineconeEnv": "us-west4-gcp",
"pineconeIndex": "",
"pineconeNamespace": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "pineconeExistingIndex_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
},
{
"id": "pineconeExistingIndex_1-output-vectorStore-Pinecone|VectorStore",
"name": "vectorStore",
"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "vectorStore"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 264.729293346415,
"y": -190.36689763560724
},
"dragging": false
},
{
"width": 300,
"height": 526,
"id": "chatOpenAI_1",
"position": {
"x": 590.3367401418911,
"y": -374.0329977259934
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"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": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"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-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0301",
"name": "gpt-3.5-turbo-0301"
}
],
"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"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 590.3367401418911,
"y": -374.0329977259934
}
},
{
"width": 300,
"height": 380,
"height": 379,
"id": "babyAGI_1",
"position": {
"x": 950.8042093214954,
@@ -319,6 +14,7 @@
"id": "babyAGI_1",
"label": "BabyAGI",
"name": "babyAGI",
"version": 1,
"type": "BabyAGI",
"baseClasses": ["BabyAGI"],
"category": "Agents",
@@ -347,8 +43,8 @@
}
],
"inputs": {
"model": "{{chatOpenAI_1.data.instance}}",
"vectorStore": "{{pineconeExistingIndex_1.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStore": "{{pineconeExistingIndex_0.data.instance}}",
"taskLoop": 3
},
"outputAnchors": [
@@ -368,38 +64,385 @@
"x": 950.8042093214954,
"y": 66.00028106865324
}
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 587.1798180512677,
"y": -355.9845878719703
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 587.1798180512677,
"y": -355.9845878719703
},
"dragging": false
},
{
"width": 300,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": -111.82510263637522,
"y": -224.88655030419665
},
"type": "customNode",
"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": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": -111.82510263637522,
"y": -224.88655030419665
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "pineconeExistingIndex_0",
"position": {
"x": 241.78764591331816,
"y": -38.438460915613945
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"name": "pineconeExistingIndex",
"version": 1,
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"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}}",
"pineconeIndex": "newindex",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
},
"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": 241.78764591331816,
"y": -38.438460915613945
},
"dragging": false
}
],
"edges": [
{
"source": "openAIEmbeddings_1",
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeExistingIndex_1",
"targetHandle": "pineconeExistingIndex_1-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_1-pineconeExistingIndex_1-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "babyAGI_1",
"targetHandle": "babyAGI_1-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-babyAGI_1-babyAGI_1-input-model-BaseChatModel",
"data": {
"label": ""
}
},
{
"source": "pineconeExistingIndex_1",
"sourceHandle": "pineconeExistingIndex_1-output-vectorStore-Pinecone|VectorStore",
"source": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
"target": "babyAGI_1",
"targetHandle": "babyAGI_1-input-vectorStore-VectorStore",
"type": "buttonedge",
"id": "pineconeExistingIndex_1-pineconeExistingIndex_1-output-vectorStore-Pinecone|VectorStore-babyAGI_1-babyAGI_1-input-vectorStore-VectorStore",
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore-babyAGI_1-babyAGI_1-input-vectorStore-VectorStore",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "babyAGI_1",
"targetHandle": "babyAGI_1-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-babyAGI_1-babyAGI_1-input-model-BaseChatModel",
"data": {
"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": ""
}
packages/server/marketplaces/chatflows/CSV Agent.json
+228
View File
@@ -0,0 +1,228 @@
{
"description": "Analyse and summarize CSV data",
"nodes": [
{
"width": 300,
"height": 377,
"id": "csvAgent_0",
"position": {
"x": 1064.0780498701288,
"y": 284.44352695304724
},
"type": "customNode",
"data": {
"id": "csvAgent_0",
"label": "CSV Agent",
"name": "csvAgent",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "Agent used to to answer queries on CSV data",
"inputParams": [
{
"label": "Csv File",
"name": "csvFile",
"type": "file",
"fileType": ".csv",
"id": "csvAgent_0-input-csvFile-file"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "csvAgent_0-input-model-BaseLanguageModel"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}"
},
"outputAnchors": [
{
"id": "csvAgent_0-output-csvAgent-AgentExecutor|BaseChain",
"name": "csvAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1064.0780498701288,
"y": 284.44352695304724
},
"dragging": false
},
{
"width": 300,
"height": 522,
"id": "chatOpenAI_0",
"position": {
"x": 657.3762197414501,
"y": 220.2950766042332
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 657.3762197414501,
"y": 220.2950766042332
},
"dragging": false
}
],
"edges": [
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "csvAgent_0",
"targetHandle": "csvAgent_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-csvAgent_0-csvAgent_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/ChatGPTPlugin.json → packages/server/marketplaces/chatflows/ChatGPTPlugin.json
+114 -87
View File
@@ -14,6 +14,7 @@
"id": "aiPlugin_0",
"label": "AI Plugin",
"name": "aiPlugin",
"version": 1,
"type": "AIPlugin",
"baseClasses": ["AIPlugin", "Tool"],
"category": "Tools",
@@ -60,6 +61,7 @@
"id": "requestsGet_0",
"label": "Requests Get",
"name": "requestsGet",
"version": 1,
"type": "RequestsGet",
"baseClasses": ["RequestsGet", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@@ -131,6 +133,7 @@
"id": "requestsPost_0",
"label": "Requests Post",
"name": "requestsPost",
"version": 1,
"type": "RequestsPost",
"baseClasses": ["RequestsPost", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@@ -201,82 +204,29 @@
},
{
"width": 300,
"height": 280,
"id": "mrklAgentChat_0",
"position": {
"x": 1416.2054860029416,
"y": 451.43299014109715
},
"type": "customNode",
"data": {
"id": "mrklAgentChat_0",
"label": "MRKL Agent for Chat Models",
"name": "mrklAgentChat",
"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 Chat Models",
"inputParams": [],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "mrklAgentChat_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "mrklAgentChat_0-input-model-BaseLanguageModel"
}
],
"inputs": {
"tools": ["{{requestsGet_0.data.instance}}", "{{requestsPost_0.data.instance}}", "{{aiPlugin_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}"
},
"outputAnchors": [
{
"id": "mrklAgentChat_0-output-mrklAgentChat-AgentExecutor|BaseChain|BaseLangChain",
"name": "mrklAgentChat",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1416.2054860029416,
"y": 451.43299014109715
},
"dragging": false
},
{
"width": 300,
"height": 524,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 797.0574814814245,
"y": 578.7641992971934
"x": 802.0103755177098,
"y": 576.0760341170851
},
"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_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -288,20 +238,32 @@
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
"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",
@@ -355,6 +317,14 @@
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
@@ -365,14 +335,15 @@
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"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": {},
@@ -380,24 +351,69 @@
},
"selected": false,
"positionAbsolute": {
"x": 797.0574814814245,
"y": 578.7641992971934
"x": 802.0103755177098,
"y": 576.0760341170851
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "mrklAgentChat_0",
"position": {
"x": 1425.5853300862047,
"y": 441.06218012993924
},
"type": "customNode",
"data": {
"id": "mrklAgentChat_0",
"label": "MRKL Agent for Chat Models",
"name": "mrklAgentChat",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "Agent that uses the ReAct Framework to decide what action to take, optimized to be used with Chat Models",
"inputParams": [],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "mrklAgentChat_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "mrklAgentChat_0-input-model-BaseLanguageModel"
}
],
"inputs": {
"tools": ["{{requestsGet_0.data.instance}}", "{{requestsPost_0.data.instance}}", "{{aiPlugin_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}"
},
"outputAnchors": [
{
"id": "mrklAgentChat_0-output-mrklAgentChat-AgentExecutor|BaseChain",
"name": "mrklAgentChat",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1425.5853300862047,
"y": 441.06218012993924
},
"dragging": false
}
],
"edges": [
{
"source": "requestsGet_0",
"sourceHandle": "requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-tools-Tool",
"type": "buttonedge",
"id": "requestsGet_0-requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain-mrklAgentChat_0-mrklAgentChat_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "aiPlugin_0",
"sourceHandle": "aiPlugin_0-output-aiPlugin-AIPlugin|Tool",
@@ -409,6 +425,17 @@
"label": ""
}
},
{
"source": "requestsGet_0",
"sourceHandle": "requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-tools-Tool",
"type": "buttonedge",
"id": "requestsGet_0-requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain-mrklAgentChat_0-mrklAgentChat_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "requestsPost_0",
"sourceHandle": "requestsPost_0-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain",
@@ -422,11 +449,11 @@
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-mrklAgentChat_0-mrklAgentChat_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-mrklAgentChat_0-mrklAgentChat_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Claude LLM.json
+416
View File
@@ -0,0 +1,416 @@
{
"description": "Use Anthropic Claude with 100k context window to ingest whole document for QnA",
"nodes": [
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 451.4449437285705,
"y": 118.30026803362762
},
"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
},
"selected": false,
"positionAbsolute": {
"x": 451.4449437285705,
"y": 118.30026803362762
},
"dragging": false
},
{
"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/Conversational Agent.json → packages/server/marketplaces/chatflows/Conversational Agent.json
+225 -206
View File
@@ -1,182 +1,6 @@
{
"description": "A conversational agent for a chat model which utilize chat specific prompts",
"nodes": [
{
"width": 300,
"height": 524,
"id": "chatOpenAI_1",
"position": {
"x": 56.646518061018355,
"y": 71.07043412525425
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"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": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"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-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0301",
"name": "gpt-3.5-turbo-0301"
}
],
"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"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 56.646518061018355,
"y": 71.07043412525425
},
"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,
@@ -190,6 +14,7 @@
"id": "calculator_1",
"label": "Calculator",
"name": "calculator",
"version": 1,
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@@ -220,14 +45,15 @@
"height": 376,
"id": "bufferMemory_1",
"position": {
"x": 573.479796337051,
"y": 575.8843338367278
"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",
@@ -265,27 +91,229 @@
"selected": false
},
"positionAbsolute": {
"x": 573.479796337051,
"y": 575.8843338367278
"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"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 97.01321406237057,
"y": 63.67664262280914
},
"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": [
@@ -294,18 +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": [
@@ -330,18 +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": ""
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|BaseLangChain",
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
@@ -349,8 +368,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 1206.1996037716035,
"y": 227.39579577603587
"x": 1164.4550359451973,
"y": 283.40041124403075
},
"dragging": false
}
@@ -368,23 +387,23 @@
}
},
{
"source": "serpAPI_1",
"sourceHandle": "serpAPI_1-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain",
"source": "serpAPI_0",
"sourceHandle": "serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-tools-Tool",
"type": "buttonedge",
"id": "serpAPI_1-serpAPI_1-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain-conversationalAgent_0-conversationalAgent_0-input-tools-Tool",
"id": "serpAPI_0-serpAPI_0-output-serpAPI-SerpAPI|Tool|StructuredTool-conversationalAgent_0-conversationalAgent_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json
+607
View File
@@ -0,0 +1,607 @@
{
"description": "Agent optimized for vector retrieval during conversation and answering questions based on previous dialogue.",
"nodes": [
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1381.867549919116,
"y": 212.76900895393834
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 1,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo-16k",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1381.867549919116,
"y": 212.76900895393834
},
"dragging": false
},
{
"width": 300,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": 954.0674802999345,
"y": -196.7034956445692
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 954.0674802999345,
"y": -196.7034956445692
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "pineconeExistingIndex_0",
"position": {
"x": 1362.0018461011314,
"y": -334.0373537488481
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"version": 1,
"name": "pineconeExistingIndex",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"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}}",
"pineconeIndex": "newindex",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
},
"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": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1362.0018461011314,
"y": -334.0373537488481
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "conversationalRetrievalAgent_0",
"position": {
"x": 2345.912948267881,
"y": 357.97363342258217
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalAgent_0",
"label": "Conversational Retrieval Agent",
"version": 1,
"name": "conversationalRetrievalAgent",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
"category": "Agents",
"description": "An agent optimized for retrieval during conversation, answering questions based on past dialogue, all using OpenAI's Function Calling",
"inputParams": [
{
"label": "System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"optional": true,
"additionalParams": true,
"id": "conversationalRetrievalAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "conversationalRetrievalAgent_0-input-tools-Tool"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalRetrievalAgent_0-input-memory-BaseChatMemory"
},
{
"label": "OpenAI Chat Model",
"name": "model",
"type": "ChatOpenAI",
"id": "conversationalRetrievalAgent_0-input-model-ChatOpenAI"
}
],
"inputs": {
"tools": ["{{retrieverTool_0.data.instance}}"],
"memory": "{{bufferMemory_0.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"systemMessage": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalAgent_0-output-conversationalRetrievalAgent-AgentExecutor|BaseChain|Runnable",
"name": "conversationalRetrievalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 2345.912948267881,
"y": 357.97363342258217
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "retrieverTool_0",
"position": {
"x": 1770.1485365275375,
"y": -321.14473253480946
},
"type": "customNode",
"data": {
"id": "retrieverTool_0",
"label": "Retriever Tool",
"version": 1,
"name": "retrieverTool",
"type": "RetrieverTool",
"baseClasses": ["RetrieverTool", "DynamicTool", "Tool", "StructuredTool", "Runnable"],
"category": "Tools",
"description": "Use a retriever as allowed tool for agent",
"inputParams": [
{
"label": "Retriever Name",
"name": "name",
"type": "string",
"placeholder": "search_state_of_union",
"id": "retrieverTool_0-input-name-string"
},
{
"label": "Retriever Description",
"name": "description",
"type": "string",
"description": "When should agent uses to retrieve documents",
"rows": 3,
"placeholder": "Searches and returns documents regarding the state-of-the-union.",
"id": "retrieverTool_0-input-description-string"
}
],
"inputAnchors": [
{
"label": "Retriever",
"name": "retriever",
"type": "BaseRetriever",
"id": "retrieverTool_0-input-retriever-BaseRetriever"
}
],
"inputs": {
"name": "search_website",
"description": "Searches and return documents regarding Jane - a culinary institution that offers top quality coffee, pastries, breakfast, lunch, and a variety of baked goods. They have multiple locations, including Jane on Fillmore, Jane on Larkin, Jane the Bakery, Toy Boat By Jane, and Little Jane on Grant. They emphasize healthy eating with a focus on flavor and quality ingredients. They bake everything in-house and work with local suppliers to source ingredients directly from farmers. They also offer catering services and delivery options.",
"retriever": "{{pineconeExistingIndex_0.data.instance}}"
},
"outputAnchors": [
{
"id": "retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
"name": "retrieverTool",
"label": "RetrieverTool",
"type": "RetrieverTool | DynamicTool | Tool | StructuredTool | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 1770.1485365275375,
"y": -321.14473253480946
}
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 1771.396291209036,
"y": 216.94151328212496
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"version": 1,
"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": {
"x": 1771.396291209036,
"y": 216.94151328212496
},
"dragging": false
}
],
"edges": [
{
"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": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "retrieverTool_0",
"targetHandle": "retrieverTool_0-input-retriever-BaseRetriever",
"type": "buttonedge",
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-retrieverTool_0-retrieverTool_0-input-retriever-BaseRetriever",
"data": {
"label": ""
}
},
{
"source": "retrieverTool_0",
"sourceHandle": "retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
"target": "conversationalRetrievalAgent_0",
"targetHandle": "conversationalRetrievalAgent_0-input-tools-Tool",
"type": "buttonedge",
"id": "retrieverTool_0-retrieverTool_0-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalRetrievalAgent_0",
"targetHandle": "conversationalRetrievalAgent_0-input-model-ChatOpenAI",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-model-ChatOpenAI",
"data": {
"label": ""
}
},
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
"target": "conversationalRetrievalAgent_0",
"targetHandle": "conversationalRetrievalAgent_0-input-memory-BaseChatMemory",
"type": "buttonedge",
"id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-memory-BaseChatMemory",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/Conversational Retrieval QA Chain.json → packages/server/marketplaces/chatflows/Conversational Retrieval QA Chain.json
+446 -347
View File
@@ -3,322 +3,29 @@
"nodes": [
{
"width": 300,
"height": 376,
"id": "recursiveCharacterTextSplitter_1",
"position": {
"x": 422.81091375202413,
"y": 122.99825010325736
},
"type": "customNode",
"data": {
"id": "recursiveCharacterTextSplitter_1",
"label": "Recursive Character Text Splitter",
"name": "recursiveCharacterTextSplitter",
"type": "RecursiveCharacterTextSplitter",
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
"category": "Text Splitters",
"description": "Split documents recursively by different characters - starting with \"\n\n\", then \"\n\", then \" \"",
"inputParams": [
{
"label": "Chunk Size",
"name": "chunkSize",
"type": "number",
"default": 1000,
"optional": true,
"id": "recursiveCharacterTextSplitter_1-input-chunkSize-number"
},
{
"label": "Chunk Overlap",
"name": "chunkOverlap",
"type": "number",
"optional": true,
"id": "recursiveCharacterTextSplitter_1-input-chunkOverlap-number"
}
],
"inputAnchors": [],
"inputs": {
"chunkSize": 1000,
"chunkOverlap": ""
},
"outputAnchors": [
{
"id": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"name": "recursiveCharacterTextSplitter",
"label": "RecursiveCharacterTextSplitter",
"type": "RecursiveCharacterTextSplitter | TextSplitter"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 422.81091375202413,
"y": 122.99825010325736
},
"dragging": false
},
{
"width": 300,
"height": 392,
"id": "textFile_1",
"position": {
"x": 810.6456923854021,
"y": 61.45989039390216
},
"type": "customNode",
"data": {
"id": "textFile_1",
"label": "Text File",
"name": "textFile",
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from text files",
"inputParams": [
{
"label": "Txt File",
"name": "txtFile",
"type": "file",
"fileType": ".txt",
"id": "textFile_1-input-txtFile-file"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "textFile_1-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "textFile_1-input-textSplitter-TextSplitter"
}
],
"inputs": {
"textSplitter": "{{recursiveCharacterTextSplitter_1.data.instance}}"
},
"outputAnchors": [
{
"id": "textFile_1-output-textFile-Document",
"name": "textFile",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 810.6456923854021,
"y": 61.45989039390216
},
"dragging": false
},
{
"width": 300,
"height": 330,
"id": "openAIEmbeddings_1",
"position": {
"x": 817.2208258595176,
"y": 586.8095386455508
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_1",
"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"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 817.2208258595176,
"y": 586.8095386455508
},
"dragging": false
},
{
"width": 300,
"height": 702,
"id": "pineconeUpsert_1",
"position": {
"x": 1201.3427203075867,
"y": 545.1800202023215
},
"type": "customNode",
"data": {
"id": "pineconeUpsert_1",
"label": "Pinecone Upsert Document",
"name": "pineconeUpsert",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Pinecone",
"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,
"id": "pineconeUpsert_1-input-pineconeNamespace-string"
}
],
"inputAnchors": [
{
"label": "Document",
"name": "document",
"type": "Document",
"list": true,
"id": "pineconeUpsert_1-input-document-Document"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeUpsert_1-input-embeddings-Embeddings"
}
],
"inputs": {
"document": ["{{textFile_1.data.instance}}"],
"embeddings": "{{openAIEmbeddings_1.data.instance}}",
"pineconeEnv": "us-west4-gcp",
"pineconeIndex": "myindex",
"pineconeNamespace": "mynamespace"
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Pinecone Retriever",
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
},
{
"id": "pineconeUpsert_1-output-vectorStore-Pinecone|VectorStore",
"name": "vectorStore",
"label": "Pinecone Vector Store",
"type": "Pinecone | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "retriever"
},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 1201.3427203075867,
"y": 545.1800202023215
}
},
{
"width": 300,
"height": 524,
"height": 522,
"id": "chatOpenAI_0",
"position": {
"x": 1200.565568471151,
"y": -33.648143275380406
"x": 1184.1176114500388,
"y": -44.15535835370571
},
"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_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -330,20 +37,32 @@
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
"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",
@@ -397,24 +116,117 @@
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0.5",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"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": {},
"selected": false
},
"positionAbsolute": {
"x": 1184.1176114500388,
"y": -44.15535835370571
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 328,
"id": "openAIEmbeddings_0",
"position": {
"x": 795.6162477805387,
"y": 603.260214150876
},
"type": "customNode",
"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": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
@@ -422,29 +234,305 @@
},
"selected": false,
"positionAbsolute": {
"x": 1200.565568471151,
"y": -33.648143275380406
"x": 795.6162477805387,
"y": 603.260214150876
},
"dragging": false
},
{
"width": 300,
"height": 280,
"height": 554,
"id": "pineconeUpsert_0",
"position": {
"x": 1191.1792786926865,
"y": 514.2126330994578
},
"type": "customNode",
"data": {
"id": "pineconeUpsert_0",
"label": "Pinecone Upsert Document",
"name": "pineconeUpsert",
"version": 1,
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Pinecone",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeUpsert_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"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",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pineconeUpsert_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Document",
"name": "document",
"type": "Document",
"list": true,
"id": "pineconeUpsert_0-input-document-Document"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "pineconeUpsert_0-input-embeddings-Embeddings"
}
],
"inputs": {
"document": ["{{textFile_0.data.instance}}"],
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"pineconeIndex": "",
"pineconeNamespace": "",
"topK": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"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": {
"x": 1191.1792786926865,
"y": 514.2126330994578
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "recursiveCharacterTextSplitter_0",
"position": {
"x": 406.08456707531263,
"y": 197.66460328693972
},
"type": "customNode",
"data": {
"id": "recursiveCharacterTextSplitter_0",
"label": "Recursive Character Text Splitter",
"name": "recursiveCharacterTextSplitter",
"version": 1,
"type": "RecursiveCharacterTextSplitter",
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
"category": "Text Splitters",
"description": "Split documents recursively by different characters - starting with \"\\n\\n\", then \"\\n\", then \" \"",
"inputParams": [
{
"label": "Chunk Size",
"name": "chunkSize",
"type": "number",
"default": 1000,
"optional": true,
"id": "recursiveCharacterTextSplitter_0-input-chunkSize-number"
},
{
"label": "Chunk Overlap",
"name": "chunkOverlap",
"type": "number",
"optional": true,
"id": "recursiveCharacterTextSplitter_0-input-chunkOverlap-number"
}
],
"inputAnchors": [],
"inputs": {
"chunkSize": 1000,
"chunkOverlap": ""
},
"outputAnchors": [
{
"id": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"name": "recursiveCharacterTextSplitter",
"label": "RecursiveCharacterTextSplitter",
"type": "RecursiveCharacterTextSplitter | TextSplitter"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 406.08456707531263,
"y": 197.66460328693972
},
"dragging": false
},
{
"width": 300,
"height": 410,
"id": "textFile_0",
"position": {
"x": 786.5497697231324,
"y": 140.09563157584407
},
"type": "customNode",
"data": {
"id": "textFile_0",
"label": "Text File",
"name": "textFile",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from text files",
"inputParams": [
{
"label": "Txt File",
"name": "txtFile",
"type": "file",
"fileType": ".txt",
"id": "textFile_0-input-txtFile-file"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "textFile_0-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "textFile_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"textSplitter": "{{recursiveCharacterTextSplitter_0.data.instance}}",
"metadata": ""
},
"outputAnchors": [
{
"id": "textFile_0-output-textFile-Document",
"name": "textFile",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 786.5497697231324,
"y": 140.09563157584407
},
"dragging": false
},
{
"width": 300,
"height": 479,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1627.1855024401737,
"y": 394.42287890442145
"x": 1558.6564094656787,
"y": 386.60217819991124
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [],
"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",
@@ -457,83 +545,94 @@
"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_1.data.instance}}"
"vectorStoreRetriever": "{{pineconeUpsert_0.data.instance}}",
"memory": "",
"returnSourceDocuments": "",
"systemMessagePrompt": "",
"chainOption": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
"type": "ConversationalRetrievalQAChain | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1627.1855024401737,
"y": 394.42287890442145
"x": 1558.6564094656787,
"y": 386.60217819991124
},
"dragging": false
"selected": false
}
],
"edges": [
{
"source": "openAIEmbeddings_1",
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeUpsert_1",
"targetHandle": "pineconeUpsert_1-input-embeddings-Embeddings",
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_1-pineconeUpsert_1-input-embeddings-Embeddings",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_0-pineconeUpsert_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "textFile_1",
"sourceHandle": "textFile_1-output-textFile-Document",
"target": "pineconeUpsert_1",
"targetHandle": "pineconeUpsert_1-input-document-Document",
"source": "recursiveCharacterTextSplitter_0",
"sourceHandle": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"target": "textFile_0",
"targetHandle": "textFile_0-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "textFile_1-textFile_1-output-textFile-Document-pineconeUpsert_1-pineconeUpsert_1-input-document-Document",
"id": "recursiveCharacterTextSplitter_0-recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_0-textFile_0-input-textSplitter-TextSplitter",
"data": {
"label": ""
}
},
{
"source": "recursiveCharacterTextSplitter_1",
"sourceHandle": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"target": "textFile_1",
"targetHandle": "textFile_1-input-textSplitter-TextSplitter",
"source": "textFile_0",
"sourceHandle": "textFile_0-output-textFile-Document",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-document-Document",
"type": "buttonedge",
"id": "recursiveCharacterTextSplitter_1-recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_1-textFile_1-input-textSplitter-TextSplitter",
"id": "textFile_0-textFile_0-output-textFile-Document-pineconeUpsert_0-pineconeUpsert_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"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|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "pineconeUpsert_1",
"sourceHandle": "pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"source": "pineconeUpsert_0",
"sourceHandle": "pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "pineconeUpsert_1-pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"id": "pineconeUpsert_0-pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"label": ""
}
packages/server/marketplaces/Github Repo QnA.json → packages/server/marketplaces/chatflows/Flowise Docs QnA.json
+378 -294
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": {
"x": 447.1038086695898,
"y": 126.52301921543597
"x": 1081.1540334344143,
"y": -113.73571627207801
},
"type": "customNode",
"data": {
"id": "recursiveCharacterTextSplitter_1",
"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",
@@ -25,108 +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,
"y": 126.52301921543597
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 578,
"id": "github_1",
"position": {
"x": 836.9660489009947,
"y": -44.04171088580361
},
"type": "customNode",
"data": {
"id": "github_1",
"label": "Github",
"name": "github",
"type": "Document",
"baseClasses": ["Document"],
"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"
},
{
"label": "Branch",
"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": "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": {},
@@ -134,127 +54,38 @@
},
"selected": false,
"positionAbsolute": {
"x": 836.9660489009947,
"y": -44.04171088580361
"x": 1081.1540334344143,
"y": -113.73571627207801
},
"dragging": false
},
{
"width": 300,
"height": 330,
"id": "openAIEmbeddings_1",
"height": 405,
"id": "memoryVectorStore_0",
"position": {
"x": 833.4085562012468,
"y": 541.7875676090047
"x": 1844.88052464165,
"y": 484.60473328470243
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_1",
"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"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 833.4085562012468,
"y": 541.7875676090047
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 702,
"id": "pineconeUpsert_1",
"position": {
"x": 1268.7946529279823,
"y": 382.77997896801634
},
"type": "customNode",
"data": {
"id": "pineconeUpsert_1",
"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",
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"optional": true,
"id": "pineconeUpsert_1-input-pineconeNamespace-string"
"id": "memoryVectorStore_0-input-topK-number"
}
],
"inputAnchors": [
@@ -263,21 +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": [
{
@@ -286,16 +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"
@@ -307,35 +136,239 @@
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1844.88052464165,
"y": 484.60473328470243
},
"dragging": false
},
{
"width": 300,
"height": 479,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 2311.697827287373,
"y": 228.14841720207832
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"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": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 1268.7946529279823,
"y": 382.77997896801634
"x": 2311.697827287373,
"y": 228.14841720207832
}
},
{
"width": 300,
"height": 524,
"height": 673,
"id": "github_0",
"position": {
"x": 1460.1858988997,
"y": -137.83585695472374
},
"type": "customNode",
"data": {
"id": "github_0",
"label": "Github",
"name": "github",
"version": 1,
"type": "Document",
"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": [
{
"label": "Text Splitter",
"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": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1460.1858988997,
"y": -137.83585695472374
},
"dragging": false
},
{
"width": 300,
"height": 522,
"id": "chatOpenAI_0",
"position": {
"x": 1271.1300438358664,
"y": -169.75707425097968
"x": 1857.367353502965,
"y": -104.25095383414119
},
"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_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -347,20 +380,32 @@
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
"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",
@@ -414,24 +459,33 @@
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0.5",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"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": {},
@@ -439,118 +493,148 @@
},
"selected": false,
"positionAbsolute": {
"x": 1271.1300438358664,
"y": -169.75707425097968
"x": 1857.367353502965,
"y": -104.25095383414119
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "conversationalRetrievalQAChain_0",
"height": 328,
"id": "openAIEmbeddings_0",
"position": {
"x": 1653.6177539108153,
"y": 266.4856653480158
"x": 1299.9983863833309,
"y": 581.8406384863323
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [],
"inputAnchors": [
"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": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "BaseRetriever",
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": "{{pineconeUpsert_1.data.instance}}"
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 1653.6177539108153,
"y": 266.4856653480158
},
"dragging": false
"x": 1299.9983863833309,
"y": 581.8406384863323
}
}
],
"edges": [
{
"source": "github_1",
"sourceHandle": "github_1-output-github-Document",
"target": "pineconeUpsert_1",
"targetHandle": "pineconeUpsert_1-input-document-Document",
"source": "memoryVectorStore_0",
"sourceHandle": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "github_1-github_1-output-github-Document-pineconeUpsert_1-pineconeUpsert_1-input-document-Document",
"id": "memoryVectorStore_0-memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"label": ""
}
},
{
"source": "openAIEmbeddings_1",
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeUpsert_1",
"targetHandle": "pineconeUpsert_1-input-embeddings-Embeddings",
"source": "markdownTextSplitter_0",
"sourceHandle": "markdownTextSplitter_0-output-markdownTextSplitter-MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
"target": "github_0",
"targetHandle": "github_0-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_1-pineconeUpsert_1-input-embeddings-Embeddings",
"id": "markdownTextSplitter_0-markdownTextSplitter_0-output-markdownTextSplitter-MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer-github_0-github_0-input-textSplitter-TextSplitter",
"data": {
"label": ""
}
},
{
"source": "recursiveCharacterTextSplitter_1",
"sourceHandle": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"target": "github_1",
"targetHandle": "github_1-input-textSplitter-TextSplitter",
"source": "github_0",
"sourceHandle": "github_0-output-github-Document",
"target": "memoryVectorStore_0",
"targetHandle": "memoryVectorStore_0-input-document-Document",
"type": "buttonedge",
"id": "recursiveCharacterTextSplitter_1-recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-github_1-github_1-input-textSplitter-TextSplitter",
"id": "github_0-github_0-output-github-Document-memoryVectorStore_0-memoryVectorStore_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"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|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "pineconeUpsert_1",
"sourceHandle": "pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "memoryVectorStore_0",
"targetHandle": "memoryVectorStore_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "pineconeUpsert_1-pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-memoryVectorStore_0-memoryVectorStore_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/HuggingFace LLM Chain.json
+288
View File
@@ -0,0 +1,288 @@
{
"description": "Simple LLM Chain using HuggingFace Inference API on falcon-7b-instruct model",
"nodes": [
{
"width": 300,
"height": 405,
"id": "llmChain_1",
"position": {
"x": 970.9254258940236,
"y": 320.56761595884564
},
"type": "customNode",
"data": {
"id": "llmChain_1",
"label": "LLM Chain",
"name": "llmChain",
"version": 1,
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Chain to run queries against LLMs",
"inputParams": [
{
"label": "Chain Name",
"name": "chainName",
"type": "string",
"placeholder": "Name Your Chain",
"optional": true,
"id": "llmChain_1-input-chainName-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "llmChain_1-input-model-BaseLanguageModel"
},
{
"label": "Prompt",
"name": "prompt",
"type": "BasePromptTemplate",
"id": "llmChain_1-input-prompt-BasePromptTemplate"
}
],
"inputs": {
"model": "{{huggingFaceInference_LLMs_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"chainName": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
"name": "llmChain",
"label": "LLM Chain",
"type": "LLMChain | BaseChain | BaseLangChain"
},
{
"id": "llmChain_1-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string | json"
}
],
"default": "llmChain"
}
],
"outputs": {
"output": "llmChain"
},
"selected": false
},
"positionAbsolute": {
"x": 970.9254258940236,
"y": 320.56761595884564
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 475,
"id": "promptTemplate_0",
"position": {
"x": 506.50436294210306,
"y": 504.50766458127396
},
"type": "customNode",
"data": {
"id": "promptTemplate_0",
"label": "Prompt Template",
"name": "promptTemplate",
"version": 1,
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_0-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"template": "Question: {question}\n\nAnswer: Let's think step by step.",
"promptValues": ""
},
"outputAnchors": [
{
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 506.50436294210306,
"y": 504.50766458127396
},
"dragging": false
},
{
"width": 300,
"height": 526,
"id": "huggingFaceInference_LLMs_0",
"position": {
"x": 498.8594464193537,
"y": -44.91050256311678
},
"type": "customNode",
"data": {
"id": "huggingFaceInference_LLMs_0",
"label": "HuggingFace Inference",
"name": "huggingFaceInference_LLMs",
"version": 1,
"type": "HuggingFaceInference",
"baseClasses": ["HuggingFaceInference", "LLM", "BaseLLM", "BaseLanguageModel"],
"category": "LLMs",
"description": "Wrapper around HuggingFace large language models",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["huggingFaceApi"],
"id": "huggingFaceInference_LLMs_0-input-credential-credential"
},
{
"label": "Model",
"name": "model",
"type": "string",
"description": "If using own inference endpoint, leave this blank",
"placeholder": "gpt2",
"optional": true,
"id": "huggingFaceInference_LLMs_0-input-model-string"
},
{
"label": "Endpoint",
"name": "endpoint",
"type": "string",
"placeholder": "https://xyz.eu-west-1.aws.endpoints.huggingface.cloud/gpt2",
"description": "Using your own inference endpoint",
"optional": true,
"id": "huggingFaceInference_LLMs_0-input-endpoint-string"
},
{
"label": "Temperature",
"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"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"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"
}
],
"inputAnchors": [],
"inputs": {
"model": "tiiuae/falcon-7b-instruct",
"endpoint": "",
"temperature": "",
"maxTokens": "",
"topP": "",
"hfTopK": "",
"frequencyPenalty": ""
},
"outputAnchors": [
{
"id": "huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel",
"name": "huggingFaceInference_LLMs",
"label": "HuggingFaceInference",
"type": "HuggingFaceInference | LLM | BaseLLM | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 498.8594464193537,
"y": -44.91050256311678
},
"dragging": false
}
],
"edges": [
{
"source": "promptTemplate_0",
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
},
{
"source": "huggingFaceInference_LLMs_0",
"sourceHandle": "huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "huggingFaceInference_LLMs_0-huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/Local QnA.json
+536
View File
@@ -0,0 +1,536 @@
{
"description": "QnA chain using local LLM, Embedding models, and Faiss local vector store",
"nodes": [
{
"width": 300,
"height": 376,
"id": "recursiveCharacterTextSplitter_1",
"position": {
"x": 422.81091375202413,
"y": 122.99825010325736
},
"type": "customNode",
"data": {
"id": "recursiveCharacterTextSplitter_1",
"label": "Recursive Character Text Splitter",
"name": "recursiveCharacterTextSplitter",
"version": 1,
"type": "RecursiveCharacterTextSplitter",
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
"category": "Text Splitters",
"description": "Split documents recursively by different characters - starting with \"\n\n\", then \"\n\", then \" \"",
"inputParams": [
{
"label": "Chunk Size",
"name": "chunkSize",
"type": "number",
"default": 1000,
"optional": true,
"id": "recursiveCharacterTextSplitter_1-input-chunkSize-number"
},
{
"label": "Chunk Overlap",
"name": "chunkOverlap",
"type": "number",
"optional": true,
"id": "recursiveCharacterTextSplitter_1-input-chunkOverlap-number"
}
],
"inputAnchors": [],
"inputs": {
"chunkSize": 1000,
"chunkOverlap": ""
},
"outputAnchors": [
{
"id": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
"name": "recursiveCharacterTextSplitter",
"label": "RecursiveCharacterTextSplitter",
"type": "RecursiveCharacterTextSplitter | TextSplitter"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 422.81091375202413,
"y": 122.99825010325736
},
"dragging": false
},
{
"width": 300,
"height": 428,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1634.455879160561,
"y": 428.77742668929807
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"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": "{{chatLocalAI_0.data.instance}}",
"vectorStoreRetriever": "{{faissUpsert_0.data.instance}}",
"memory": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1634.455879160561,
"y": 428.77742668929807
},
"dragging": false
},
{
"width": 300,
"height": 456,
"id": "faissUpsert_0",
"position": {
"x": 1204.6898035516715,
"y": 521.0933926644659
},
"type": "customNode",
"data": {
"id": "faissUpsert_0",
"label": "Faiss Upsert Document",
"name": "faissUpsert",
"version": 1,
"type": "Faiss",
"baseClasses": ["Faiss", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Faiss",
"inputParams": [
{
"label": "Base Path to store",
"name": "basePath",
"description": "Path to store faiss.index file",
"placeholder": "C:\\Users\\User\\Desktop",
"type": "string",
"id": "faissUpsert_0-input-basePath-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": "faissUpsert_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Document",
"name": "document",
"type": "Document",
"list": true,
"id": "faissUpsert_0-input-document-Document"
},
{
"label": "Embeddings",
"name": "embeddings",
"type": "Embeddings",
"id": "faissUpsert_0-input-embeddings-Embeddings"
}
],
"inputs": {
"document": ["{{textFile_0.data.instance}}"],
"embeddings": "{{localAIEmbeddings_0.data.instance}}",
"basePath": "C:\\Users\\your-folder",
"topK": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "faissUpsert_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Faiss Retriever",
"type": "Faiss | VectorStoreRetriever | BaseRetriever"
},
{
"id": "faissUpsert_0-output-vectorStore-Faiss|SaveableVectorStore|VectorStore",
"name": "vectorStore",
"label": "Faiss Vector Store",
"type": "Faiss | SaveableVectorStore | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": {
"output": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1204.6898035516715,
"y": 521.0933926644659
},
"dragging": false
},
{
"width": 300,
"height": 526,
"id": "chatLocalAI_0",
"position": {
"x": 1191.9512064167336,
"y": -44.05401001663306
},
"type": "customNode",
"data": {
"id": "chatLocalAI_0",
"label": "ChatLocalAI",
"name": "chatLocalAI",
"version": 1,
"type": "ChatLocalAI",
"baseClasses": ["ChatLocalAI", "BaseChatModel", "LLM", "BaseLLM", "BaseLanguageModel", "BaseLangChain"],
"category": "Chat Models",
"description": "Use local LLMs like llama.cpp, gpt4all using LocalAI",
"inputParams": [
{
"label": "Base Path",
"name": "basePath",
"type": "string",
"placeholder": "http://localhost:8080/v1",
"id": "chatLocalAI_0-input-basePath-string"
},
{
"label": "Model Name",
"name": "modelName",
"type": "string",
"placeholder": "gpt4all-lora-quantized.bin",
"id": "chatLocalAI_0-input-modelName-string"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatLocalAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatLocalAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatLocalAI_0-input-topP-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatLocalAI_0-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"basePath": "http://localhost:8080/v1",
"modelName": "ggml-gpt4all-j.bin",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "chatLocalAI_0-output-chatLocalAI-ChatLocalAI|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "chatLocalAI",
"label": "ChatLocalAI",
"type": "ChatLocalAI | BaseChatModel | LLM | BaseLLM | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1191.9512064167336,
"y": -44.05401001663306
},
"dragging": false
},
{
"width": 300,
"height": 410,
"id": "textFile_0",
"position": {
"x": 809.5432731751458,
"y": 55.85095796777051
},
"type": "customNode",
"data": {
"id": "textFile_0",
"label": "Text File",
"name": "textFile",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from text files",
"inputParams": [
{
"label": "Txt File",
"name": "txtFile",
"type": "file",
"fileType": ".txt",
"id": "textFile_0-input-txtFile-file"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "textFile_0-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "textFile_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"textSplitter": "{{recursiveCharacterTextSplitter_1.data.instance}}",
"metadata": ""
},
"outputAnchors": [
{
"id": "textFile_0-output-textFile-Document",
"name": "textFile",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 809.5432731751458,
"y": 55.85095796777051
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "localAIEmbeddings_0",
"position": {
"x": 809.5432731751458,
"y": 507.4586304746849
},
"type": "customNode",
"data": {
"id": "localAIEmbeddings_0",
"label": "LocalAI Embeddings",
"name": "localAIEmbeddings",
"version": 1,
"type": "LocalAI Embeddings",
"baseClasses": ["LocalAI Embeddings", "Embeddings"],
"category": "Embeddings",
"description": "Use local embeddings models like llama.cpp",
"inputParams": [
{
"label": "Base Path",
"name": "basePath",
"type": "string",
"placeholder": "http://localhost:8080/v1",
"id": "localAIEmbeddings_0-input-basePath-string"
},
{
"label": "Model Name",
"name": "modelName",
"type": "string",
"placeholder": "text-embedding-ada-002",
"id": "localAIEmbeddings_0-input-modelName-string"
}
],
"inputAnchors": [],
"inputs": {
"basePath": "http://localhost:8080/v1",
"modelName": "text-embedding-ada-002"
},
"outputAnchors": [
{
"id": "localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings",
"name": "localAIEmbeddings",
"label": "LocalAI Embeddings",
"type": "LocalAI Embeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 809.5432731751458,
"y": 507.4586304746849
},
"dragging": false
}
],
"edges": [
{
"source": "faissUpsert_0",
"sourceHandle": "faissUpsert_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "faissUpsert_0-faissUpsert_0-output-retriever-Faiss|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"label": ""
}
},
{
"source": "chatLocalAI_0",
"sourceHandle": "chatLocalAI_0-output-chatLocalAI-ChatLocalAI|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|BaseLangChain",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatLocalAI_0-chatLocalAI_0-output-chatLocalAI-ChatLocalAI|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "recursiveCharacterTextSplitter_1",
"sourceHandle": "recursiveCharacterTextSplitter_1-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",
"data": {
"label": ""
}
},
{
"source": "textFile_0",
"sourceHandle": "textFile_0-output-textFile-Document",
"target": "faissUpsert_0",
"targetHandle": "faissUpsert_0-input-document-Document",
"type": "buttonedge",
"id": "textFile_0-textFile_0-output-textFile-Document-faissUpsert_0-faissUpsert_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "localAIEmbeddings_0",
"sourceHandle": "localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings",
"target": "faissUpsert_0",
"targetHandle": "faissUpsert_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "localAIEmbeddings_0-localAIEmbeddings_0-output-localAIEmbeddings-LocalAI Embeddings|Embeddings-faissUpsert_0-faissUpsert_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/Long Term Memory.json
+647
View File
@@ -0,0 +1,647 @@
{
"description": "Use long term memory Zep to differentiate conversations between users with sessionId",
"nodes": [
{
"width": 300,
"height": 480,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1999.7302950816731,
"y": 365.33064907894243
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"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": "{{pineconeExistingIndex_0.data.instance}}",
"memory": "{{ZepMemory_0.data.instance}}",
"returnSourceDocuments": true
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1999.7302950816731,
"y": 365.33064907894243
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1554.3875781165111,
"y": -14.792508259787212
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1554.3875781165111,
"y": -14.792508259787212
},
"dragging": false
},
{
"width": 300,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": 789.6839176356616,
"y": 167.70165941305987
},
"type": "customNode",
"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": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 789.6839176356616,
"y": 167.70165941305987
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "pineconeExistingIndex_0",
"position": {
"x": 1167.128201355349,
"y": 71.89355115516406
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"name": "pineconeExistingIndex",
"version": 1,
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"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}}",
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
},
"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": "retriever"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1167.128201355349,
"y": 71.89355115516406
},
"dragging": false
},
{
"width": 300,
"height": 623,
"id": "ZepMemory_0",
"position": {
"x": 1552.2067611642792,
"y": 560.8352147865392
},
"type": "customNode",
"data": {
"id": "ZepMemory_0",
"label": "Zep Memory",
"name": "ZepMemory",
"version": 1,
"type": "ZepMemory",
"baseClasses": ["ZepMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Summarizes the conversation and stores the memory in zep server",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"optional": true,
"description": "Configure JWT authentication on your Zep instance (Optional)",
"credentialNames": ["zepMemoryApi"],
"id": "ZepMemory_0-input-credential-credential"
},
{
"label": "Base URL",
"name": "baseURL",
"type": "string",
"default": "http://127.0.0.1:8000",
"id": "ZepMemory_0-input-baseURL-string"
},
{
"label": "Auto Summary",
"name": "autoSummary",
"type": "boolean",
"default": true,
"id": "ZepMemory_0-input-autoSummary-boolean"
},
{
"label": "Session Id",
"name": "sessionId",
"type": "string",
"description": "if empty, chatId will be used automatically",
"default": "",
"additionalParams": true,
"optional": true,
"id": "ZepMemory_0-input-sessionId-string"
},
{
"label": "Size",
"name": "k",
"type": "number",
"default": "10",
"step": 1,
"description": "Window of size k to surface the last k back-and-forths to use as memory.",
"id": "ZepMemory_0-input-k-number"
},
{
"label": "Auto Summary Template",
"name": "autoSummaryTemplate",
"type": "string",
"default": "This is the summary of the following conversation:\n{summary}",
"additionalParams": true,
"id": "ZepMemory_0-input-autoSummaryTemplate-string"
},
{
"label": "AI Prefix",
"name": "aiPrefix",
"type": "string",
"default": "ai",
"additionalParams": true,
"id": "ZepMemory_0-input-aiPrefix-string"
},
{
"label": "Human Prefix",
"name": "humanPrefix",
"type": "string",
"default": "human",
"additionalParams": true,
"id": "ZepMemory_0-input-humanPrefix-string"
},
{
"label": "Memory Key",
"name": "memoryKey",
"type": "string",
"default": "chat_history",
"additionalParams": true,
"id": "ZepMemory_0-input-memoryKey-string"
},
{
"label": "Input Key",
"name": "inputKey",
"type": "string",
"default": "input",
"additionalParams": true,
"id": "ZepMemory_0-input-inputKey-string"
},
{
"label": "Output Key",
"name": "outputKey",
"type": "string",
"default": "text",
"additionalParams": true,
"id": "ZepMemory_0-input-outputKey-string"
}
],
"inputAnchors": [],
"inputs": {
"baseURL": "http://127.0.0.1:8000",
"autoSummary": true,
"sessionId": "",
"k": "10",
"autoSummaryTemplate": "This is the summary of the following conversation:\n{summary}",
"aiPrefix": "ai",
"humanPrefix": "human",
"memoryKey": "chat_history",
"inputKey": "input",
"outputKey": "text"
},
"outputAnchors": [
{
"id": "ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory",
"name": "ZepMemory",
"label": "ZepMemory",
"type": "ZepMemory | BaseChatMemory | BaseMemory"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1552.2067611642792,
"y": 560.8352147865392
},
"dragging": false
}
],
"edges": [
{
"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": "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": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"data": {
"label": ""
}
},
{
"source": "ZepMemory_0",
"sourceHandle": "ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-memory-BaseMemory",
"type": "buttonedge",
"id": "ZepMemory_0-ZepMemory_0-output-ZepMemory-ZepMemory|BaseChatMemory|BaseMemory-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-memory-BaseMemory",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/MRKLAgent.json → packages/server/marketplaces/chatflows/MRKLAgent.json
+211 -198
View File
@@ -1,51 +1,6 @@
{
"description": "An agent that uses the React Framework to decide what action to take",
"nodes": [
{
"width": 300,
"height": 278,
"id": "serpAPI_1",
"position": {
"x": 312.0655985817535,
"y": 112.09909989842703
},
"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": 312.0655985817535,
"y": 112.09909989842703
},
"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",
@@ -84,151 +40,6 @@
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 524,
"id": "openAI_1",
"position": {
"x": 663.1307301893027,
"y": 394.7618562930441
},
"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,
"id": "openAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"temperature": 0.7,
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 663.1307301893027,
"y": 394.7618562930441
},
"dragging": false
},
{
"width": 300,
"height": 280,
@@ -242,6 +53,7 @@
"id": "mrklAgentLLM_0",
"label": "MRKL Agent for LLMs",
"name": "mrklAgentLLM",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
@@ -263,8 +75,8 @@
}
],
"inputs": {
"tools": ["{{calculator_1.data.instance}}", "{{serpAPI_1.data.instance}}"],
"model": "{{openAI_1.data.instance}}"
"tools": ["{{calculator_1.data.instance}}", "{{serper_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}"
},
"outputAnchors": [
{
@@ -283,6 +95,207 @@
"y": 245.36098016819074
},
"dragging": false
},
{
"width": 300,
"height": 277,
"id": "serper_0",
"position": {
"x": 330.964079024626,
"y": 109.83185250619351
},
"type": "customNode",
"data": {
"id": "serper_0",
"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": {},
"outputAnchors": [
{
"id": "serper_0-output-serper-Serper|Tool|StructuredTool",
"name": "serper",
"label": "Serper",
"type": "Serper | Tool | StructuredTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 330.964079024626,
"y": 109.83185250619351
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 333.58931284721206,
"y": 416.98420974875927
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 333.58931284721206,
"y": 416.98420974875927
},
"dragging": false
}
],
"edges": [
@@ -298,23 +311,23 @@
}
},
{
"source": "serpAPI_1",
"sourceHandle": "serpAPI_1-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain",
"source": "serper_0",
"sourceHandle": "serper_0-output-serper-Serper|Tool|StructuredTool",
"target": "mrklAgentLLM_0",
"targetHandle": "mrklAgentLLM_0-input-tools-Tool",
"type": "buttonedge",
"id": "serpAPI_1-serpAPI_1-output-serpAPI-SerpAPI|Tool|StructuredTool|BaseLangChain-mrklAgentLLM_0-mrklAgentLLM_0-input-tools-Tool",
"id": "serper_0-serper_0-output-serper-Serper|Tool|StructuredTool-mrklAgentLLM_0-mrklAgentLLM_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "openAI_1",
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "mrklAgentLLM_0",
"targetHandle": "mrklAgentLLM_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-mrklAgentLLM_0-mrklAgentLLM_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-mrklAgentLLM_0-mrklAgentLLM_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/Metadata Filter Load.json → packages/server/marketplaces/chatflows/Metadata Filter Load.json
+235 -156
View File
@@ -3,27 +3,135 @@
"nodes": [
{
"width": 300,
"height": 524,
"id": "openAI_1",
"height": 480,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1195.6182217299724,
"y": -12.958591115085468
"x": 1643.035168558474,
"y": 360.96295365212774
},
"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",
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
{
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "openAI_1-input-openAIApiKey-password"
"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": "{{pineconeExistingIndex_0.data.instance}}"
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1643.035168558474,
"y": 360.96295365212774
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1197.7264239788542,
"y": -16.177600120515933
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -31,33 +139,49 @@
"type": "options",
"options": [
{
"label": "text-davinci-003",
"name": "text-davinci-003"
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "text-davinci-002",
"name": "text-davinci-002"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "text-curie-001",
"name": "text-curie-001"
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "text-babbage-001",
"name": "text-babbage-001"
"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": "text-davinci-003",
"default": "gpt-3.5-turbo",
"optional": true,
"id": "openAI_1-input-modelName-options"
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.7,
"default": 0.9,
"optional": true,
"id": "openAI_1-input-temperature-number"
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
@@ -65,7 +189,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-maxTokens-number"
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
@@ -73,15 +197,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
@@ -89,7 +205,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-frequencyPenalty-number"
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
@@ -97,15 +213,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
@@ -113,62 +221,71 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-timeout-number"
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1195.6182217299724,
"y": -12.958591115085468
},
"selected": false,
"positionAbsolute": {
"x": 1197.7264239788542,
"y": -16.177600120515933
},
"dragging": false
},
{
"width": 300,
"height": 330,
"id": "openAIEmbeddings_1",
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": 777.5098693425334,
"y": 308.4221448953297
"x": 805.2662010688601,
"y": 389.3163571296623
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_1",
"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_1-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
@@ -176,7 +293,7 @@
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-stripNewLines-boolean"
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
@@ -184,7 +301,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-batchSize-number"
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
@@ -192,18 +309,27 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_1-input-timeout-number"
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
@@ -214,40 +340,36 @@
},
"selected": false,
"positionAbsolute": {
"x": 777.5098693425334,
"y": 308.4221448953297
"x": 805.2662010688601,
"y": 389.3163571296623
},
"dragging": false
},
{
"width": 300,
"height": 703,
"height": 505,
"id": "pineconeExistingIndex_0",
"position": {
"x": 1187.519066203033,
"y": 542.6635399602128
"x": 1194.8300385699242,
"y": 542.8247838029442
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"name": "pineconeExistingIndex",
"version": 1,
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Pinecone Api Key",
"name": "pineconeApiKey",
"type": "password",
"id": "pineconeExistingIndex_0-input-pineconeApiKey-password"
},
{
"label": "Pinecone Environment",
"name": "pineconeEnv",
"type": "string",
"id": "pineconeExistingIndex_0-input-pineconeEnv-string"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
@@ -260,6 +382,7 @@
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
},
@@ -270,6 +393,16 @@
"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": [
@@ -281,11 +414,11 @@
}
],
"inputs": {
"embeddings": "{{openAIEmbeddings_1.data.instance}}",
"pineconeEnv": "northamerica-northeast1-gcp",
"pineconeIndex": "myindex",
"pineconeNamespace": "my-namespace",
"pineconeMetadataFilter": "{\"id\":\"doc1\"}"
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
},
"outputAnchors": [
{
@@ -316,85 +449,31 @@
},
"selected": false,
"positionAbsolute": {
"x": 1187.519066203033,
"y": 542.6635399602128
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1585.900129303412,
"y": 405.9784391258126
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [],
"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"
}
],
"inputs": {
"model": "{{openAI_1.data.instance}}",
"vectorStoreRetriever": "{{pineconeExistingIndex_0.data.instance}}"
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1585.900129303412,
"y": 405.9784391258126
"x": 1194.8300385699242,
"y": 542.8247838029442
},
"dragging": false
}
],
"edges": [
{
"source": "openAIEmbeddings_1",
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeExistingIndex_0",
"targetHandle": "pineconeExistingIndex_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_0-pineconeExistingIndex_0-input-embeddings-Embeddings",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_0-pineconeExistingIndex_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "openAI_1",
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/Metadata Filter Upsert.json → packages/server/marketplaces/chatflows/Metadata Filter Upsert.json
+366 -284
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",
@@ -58,224 +59,6 @@
},
"dragging": false
},
{
"width": 300,
"height": 524,
"id": "openAI_1",
"position": {
"x": 1159.184721109528,
"y": -38.76565405456694
},
"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,
"id": "openAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"temperature": "0",
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1159.184721109528,
"y": -38.76565405456694
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 330,
"id": "openAIEmbeddings_1",
"position": {
"x": 749.4044250705479,
"y": 858.4858399327618
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_1",
"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"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 749.4044250705479,
"y": 858.4858399327618
},
"dragging": false
},
{
"width": 300,
"height": 392,
@@ -289,6 +72,7 @@
"id": "textFile_0",
"label": "Text File",
"name": "textFile",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
@@ -354,6 +138,7 @@
"id": "pdfFile_0",
"label": "Pdf File",
"name": "pdfFile",
"version": 1,
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
@@ -426,11 +211,117 @@
},
{
"width": 300,
"height": 702,
"height": 480,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1570.3859788160953,
"y": 423.6687850109136
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"version": 1,
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"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}}"
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1570.3859788160953,
"y": 423.6687850109136
},
"dragging": false
},
{
"width": 300,
"height": 555,
"id": "pineconeUpsert_0",
"position": {
"x": 1161.8813042660154,
"y": 537.0216614326227
"x": 1161.2426252201622,
"y": 549.7917156049002
},
"type": "customNode",
"data": {
@@ -438,21 +329,17 @@
"label": "Pinecone Upsert Document",
"name": "pineconeUpsert",
"type": "Pinecone",
"version": 1,
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Pinecone",
"inputParams": [
{
"label": "Pinecone Api Key",
"name": "pineconeApiKey",
"type": "password",
"id": "pineconeUpsert_0-input-pineconeApiKey-password"
},
{
"label": "Pinecone Environment",
"name": "pineconeEnv",
"type": "string",
"id": "pineconeUpsert_0-input-pineconeEnv-string"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeUpsert_0-input-credential-credential"
},
{
"label": "Pinecone Index",
@@ -465,8 +352,19 @@
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"id": "pineconeUpsert_0-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_0-input-topK-number"
}
],
"inputAnchors": [
@@ -485,11 +383,11 @@
}
],
"inputs": {
"document": ["{{pdfFile_0.data.instance}}", "{{textFile_0.data.instance}}"],
"embeddings": "{{openAIEmbeddings_1.data.instance}}",
"pineconeEnv": "northamerica-northeast1-gcp",
"pineconeIndex": "myindex",
"pineconeNamespace": "my-namespace"
"document": ["{{textFile_0.data.instance}}", "{{pdfFile_0.data.instance}}"],
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"pineconeIndex": "",
"pineconeNamespace": "",
"topK": ""
},
"outputAnchors": [
{
@@ -520,53 +418,153 @@
},
"selected": false,
"positionAbsolute": {
"x": 1161.8813042660154,
"y": 537.0216614326227
"x": 1161.2426252201622,
"y": 549.7917156049002
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "conversationalRetrievalQAChain_0",
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1570.3859788160953,
"y": 423.6687850109136
"x": 1164.9667590264419,
"y": -44.2076264967032
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [],
"inputAnchors": [
"id": "chatOpenAI_0",
"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": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "BaseRetriever",
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"model": "{{openAI_1.data.instance}}",
"vectorStoreRetriever": "{{pineconeUpsert_0.data.instance}}"
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -574,8 +572,92 @@
},
"selected": false,
"positionAbsolute": {
"x": 1570.3859788160953,
"y": 423.6687850109136
"x": 1164.9667590264419,
"y": -44.2076264967032
},
"dragging": false
},
{
"width": 300,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": 772.0706424639393,
"y": 862.6189553323906
},
"type": "customNode",
"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": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 772.0706424639393,
"y": 862.6189553323906
},
"dragging": false
}
@@ -604,23 +686,12 @@
}
},
{
"source": "openAIEmbeddings_1",
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_0-pineconeUpsert_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "pdfFile_0",
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-document-Document",
"type": "buttonedge",
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-pineconeUpsert_0-pineconeUpsert_0-input-document-Document",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_0-pineconeUpsert_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
@@ -637,12 +708,23 @@
}
},
{
"source": "openAI_1",
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"source": "pdfFile_0",
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
"target": "pineconeUpsert_0",
"targetHandle": "pineconeUpsert_0-input-document-Document",
"type": "buttonedge",
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-pineconeUpsert_0-pineconeUpsert_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Multi Prompt Chain.json
+469
View File
@@ -0,0 +1,469 @@
{
"description": "A chain that automatically picks an appropriate prompt from multiple prompts",
"nodes": [
{
"width": 300,
"height": 632,
"id": "promptRetriever_0",
"position": {
"x": 197.46642699727397,
"y": 25.945621297410923
},
"type": "customNode",
"data": {
"id": "promptRetriever_0",
"label": "Prompt Retriever",
"name": "promptRetriever",
"version": 1,
"type": "PromptRetriever",
"baseClasses": ["PromptRetriever"],
"category": "Retrievers",
"description": "Store prompt template with name & description to be later queried by MultiPromptChain",
"inputParams": [
{
"label": "Prompt Name",
"name": "name",
"type": "string",
"placeholder": "physics-qa",
"id": "promptRetriever_0-input-name-string"
},
{
"label": "Prompt Description",
"name": "description",
"type": "string",
"rows": 3,
"description": "Description of what the prompt does and when it should be used",
"placeholder": "Good for answering questions about physics",
"id": "promptRetriever_0-input-description-string"
},
{
"label": "Prompt System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"placeholder": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know.",
"id": "promptRetriever_0-input-systemMessage-string"
}
],
"inputAnchors": [],
"inputs": {
"name": "physics",
"description": "Good for answering questions about physics",
"systemMessage": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know."
},
"outputAnchors": [
{
"id": "promptRetriever_0-output-promptRetriever-PromptRetriever",
"name": "promptRetriever",
"label": "PromptRetriever",
"type": "PromptRetriever"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 197.46642699727397,
"y": 25.945621297410923
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "multiPromptChain_0",
"position": {
"x": 1619.1305522575494,
"y": 210.28103293821243
},
"type": "customNode",
"data": {
"id": "multiPromptChain_0",
"label": "Multi Prompt Chain",
"name": "multiPromptChain",
"version": 1,
"type": "MultiPromptChain",
"baseClasses": ["MultiPromptChain", "MultiRouteChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Chain automatically picks an appropriate prompt from multiple prompt templates",
"inputParams": [],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "multiPromptChain_0-input-model-BaseLanguageModel"
},
{
"label": "Prompt Retriever",
"name": "promptRetriever",
"type": "PromptRetriever",
"list": true,
"id": "multiPromptChain_0-input-promptRetriever-PromptRetriever"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"promptRetriever": [
"{{promptRetriever_0.data.instance}}",
"{{promptRetriever_2.data.instance}}",
"{{promptRetriever_1.data.instance}}"
]
},
"outputAnchors": [
{
"id": "multiPromptChain_0-output-multiPromptChain-MultiPromptChain|MultiRouteChain|BaseChain|BaseLangChain",
"name": "multiPromptChain",
"label": "MultiPromptChain",
"type": "MultiPromptChain | MultiRouteChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1619.1305522575494,
"y": 210.28103293821243
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 632,
"id": "promptRetriever_1",
"position": {
"x": 539.1322780233141,
"y": -250.72967142925938
},
"type": "customNode",
"data": {
"id": "promptRetriever_1",
"label": "Prompt Retriever",
"name": "promptRetriever",
"version": 1,
"type": "PromptRetriever",
"baseClasses": ["PromptRetriever"],
"category": "Retrievers",
"description": "Store prompt template with name & description to be later queried by MultiPromptChain",
"inputParams": [
{
"label": "Prompt Name",
"name": "name",
"type": "string",
"placeholder": "physics-qa",
"id": "promptRetriever_1-input-name-string"
},
{
"label": "Prompt Description",
"name": "description",
"type": "string",
"rows": 3,
"description": "Description of what the prompt does and when it should be used",
"placeholder": "Good for answering questions about physics",
"id": "promptRetriever_1-input-description-string"
},
{
"label": "Prompt System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"placeholder": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know.",
"id": "promptRetriever_1-input-systemMessage-string"
}
],
"inputAnchors": [],
"inputs": {
"name": "math",
"description": "Good for answering math questions",
"systemMessage": "You are a very good mathematician. You are great at answering math questions. You are so good because you are able to break down hard problems into their component parts, answer the component parts, and then put them together to answer the broader question."
},
"outputAnchors": [
{
"id": "promptRetriever_1-output-promptRetriever-PromptRetriever",
"name": "promptRetriever",
"label": "PromptRetriever",
"type": "PromptRetriever"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 539.1322780233141,
"y": -250.72967142925938
},
"dragging": false
},
{
"width": 300,
"height": 632,
"id": "promptRetriever_2",
"position": {
"x": 872.6184534864304,
"y": -366.9443140594265
},
"type": "customNode",
"data": {
"id": "promptRetriever_2",
"label": "Prompt Retriever",
"name": "promptRetriever",
"version": 1,
"type": "PromptRetriever",
"baseClasses": ["PromptRetriever"],
"category": "Retrievers",
"description": "Store prompt template with name & description to be later queried by MultiPromptChain",
"inputParams": [
{
"label": "Prompt Name",
"name": "name",
"type": "string",
"placeholder": "physics-qa",
"id": "promptRetriever_2-input-name-string"
},
{
"label": "Prompt Description",
"name": "description",
"type": "string",
"rows": 3,
"description": "Description of what the prompt does and when it should be used",
"placeholder": "Good for answering questions about physics",
"id": "promptRetriever_2-input-description-string"
},
{
"label": "Prompt System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"placeholder": "You are a very smart physics professor. You are great at answering questions about physics in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know.",
"id": "promptRetriever_2-input-systemMessage-string"
}
],
"inputAnchors": [],
"inputs": {
"name": "history",
"description": "Good for answering questions about history",
"systemMessage": "You are a very smart history professor. You are great at answering questions about history in a concise and easy to understand manner. When you don't know the answer to a question you admit that you don't know."
},
"outputAnchors": [
{
"id": "promptRetriever_2-output-promptRetriever-PromptRetriever",
"name": "promptRetriever",
"label": "PromptRetriever",
"type": "PromptRetriever"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 872.6184534864304,
"y": -366.9443140594265
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1228.4059611466973,
"y": -326.46419383157513
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1228.4059611466973,
"y": -326.46419383157513
},
"dragging": false
}
],
"edges": [
{
"source": "promptRetriever_0",
"sourceHandle": "promptRetriever_0-output-promptRetriever-PromptRetriever",
"target": "multiPromptChain_0",
"targetHandle": "multiPromptChain_0-input-promptRetriever-PromptRetriever",
"type": "buttonedge",
"id": "promptRetriever_0-promptRetriever_0-output-promptRetriever-PromptRetriever-multiPromptChain_0-multiPromptChain_0-input-promptRetriever-PromptRetriever",
"data": {
"label": ""
}
},
{
"source": "promptRetriever_2",
"sourceHandle": "promptRetriever_2-output-promptRetriever-PromptRetriever",
"target": "multiPromptChain_0",
"targetHandle": "multiPromptChain_0-input-promptRetriever-PromptRetriever",
"type": "buttonedge",
"id": "promptRetriever_2-promptRetriever_2-output-promptRetriever-PromptRetriever-multiPromptChain_0-multiPromptChain_0-input-promptRetriever-PromptRetriever",
"data": {
"label": ""
}
},
{
"source": "promptRetriever_1",
"sourceHandle": "promptRetriever_1-output-promptRetriever-PromptRetriever",
"target": "multiPromptChain_0",
"targetHandle": "multiPromptChain_0-input-promptRetriever-PromptRetriever",
"type": "buttonedge",
"id": "promptRetriever_1-promptRetriever_1-output-promptRetriever-PromptRetriever-multiPromptChain_0-multiPromptChain_0-input-promptRetriever-PromptRetriever",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "multiPromptChain_0",
"targetHandle": "multiPromptChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-multiPromptChain_0-multiPromptChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/chatflows/Multi Retrieval QA Chain.json
+936
View File
@@ -0,0 +1,936 @@
{
"description": "A chain that automatically picks an appropriate retriever from multiple different vector databases",
"nodes": [
{
"width": 300,
"height": 505,
"id": "vectorStoreRetriever_0",
"position": {
"x": 712.9322670298264,
"y": 860.5462810572917
},
"type": "customNode",
"data": {
"id": "vectorStoreRetriever_0",
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"version": 1,
"type": "VectorStoreRetriever",
"baseClasses": ["VectorStoreRetriever"],
"category": "Retrievers",
"description": "Store vector store as retriever. Used with MultiRetrievalQAChain",
"inputParams": [
{
"label": "Retriever Name",
"name": "name",
"type": "string",
"placeholder": "netflix movies",
"id": "vectorStoreRetriever_0-input-name-string"
},
{
"label": "Retriever Description",
"name": "description",
"type": "string",
"rows": 3,
"description": "Description of when to use the vector store retriever",
"placeholder": "Good for answering questions about netflix movies",
"id": "vectorStoreRetriever_0-input-description-string"
}
],
"inputAnchors": [
{
"label": "Vector Store",
"name": "vectorStore",
"type": "VectorStore",
"id": "vectorStoreRetriever_0-input-vectorStore-VectorStore"
}
],
"inputs": {
"vectorStore": "{{supabaseExistingIndex_0.data.instance}}",
"name": "aqua teen",
"description": "Good for answering questions about Aqua Teen Hunger Force theme song"
},
"outputAnchors": [
{
"id": "vectorStoreRetriever_0-output-vectorStoreRetriever-VectorStoreRetriever",
"name": "vectorStoreRetriever",
"label": "VectorStoreRetriever",
"type": "VectorStoreRetriever"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 712.9322670298264,
"y": 860.5462810572917
},
"dragging": false
},
{
"width": 300,
"height": 377,
"id": "multiRetrievalQAChain_0",
"position": {
"x": 1563.0150452201099,
"y": 460.78375893303934
},
"type": "customNode",
"data": {
"id": "multiRetrievalQAChain_0",
"label": "Multi Retrieval QA Chain",
"name": "multiRetrievalQAChain",
"version": 1,
"type": "MultiRetrievalQAChain",
"baseClasses": ["MultiRetrievalQAChain", "MultiRouteChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "QA Chain that automatically picks an appropriate vector store from multiple retrievers",
"inputParams": [
{
"label": "Return Source Documents",
"name": "returnSourceDocuments",
"type": "boolean",
"optional": true
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "multiRetrievalQAChain_0-input-model-BaseLanguageModel"
},
{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "VectorStoreRetriever",
"list": true,
"id": "multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"vectorStoreRetriever": [
"{{vectorStoreRetriever_0.data.instance}}",
"{{vectorStoreRetriever_1.data.instance}}",
"{{vectorStoreRetriever_2.data.instance}}"
]
},
"outputAnchors": [
{
"id": "multiRetrievalQAChain_0-output-multiRetrievalQAChain-MultiRetrievalQAChain|MultiRouteChain|BaseChain|BaseLangChain",
"name": "multiRetrievalQAChain",
"label": "MultiRetrievalQAChain",
"type": "MultiRetrievalQAChain | MultiRouteChain | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1563.0150452201099,
"y": 460.78375893303934
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "vectorStoreRetriever_1",
"position": {
"x": 711.4902931206071,
"y": 315.2414600651632
},
"type": "customNode",
"data": {
"id": "vectorStoreRetriever_1",
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"version": 1,
"type": "VectorStoreRetriever",
"baseClasses": ["VectorStoreRetriever"],
"category": "Retrievers",
"description": "Store vector store as retriever. Used with MultiRetrievalQAChain",
"inputParams": [
{
"label": "Retriever Name",
"name": "name",
"type": "string",
"placeholder": "netflix movies",
"id": "vectorStoreRetriever_1-input-name-string"
},
{
"label": "Retriever Description",
"name": "description",
"type": "string",
"rows": 3,
"description": "Description of when to use the vector store retriever",
"placeholder": "Good for answering questions about netflix movies",
"id": "vectorStoreRetriever_1-input-description-string"
}
],
"inputAnchors": [
{
"label": "Vector Store",
"name": "vectorStore",
"type": "VectorStore",
"id": "vectorStoreRetriever_1-input-vectorStore-VectorStore"
}
],
"inputs": {
"vectorStore": "{{chromaExistingIndex_0.data.instance}}",
"name": "mst3k",
"description": "Good for answering questions about Mystery Science Theater 3000 theme song"
},
"outputAnchors": [
{
"id": "vectorStoreRetriever_1-output-vectorStoreRetriever-VectorStoreRetriever",
"name": "vectorStoreRetriever",
"label": "VectorStoreRetriever",
"type": "VectorStoreRetriever"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 711.4902931206071,
"y": 315.2414600651632
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "vectorStoreRetriever_2",
"position": {
"x": 706.0716220151372,
"y": -217.51566869136752
},
"type": "customNode",
"data": {
"id": "vectorStoreRetriever_2",
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"version": 1,
"type": "VectorStoreRetriever",
"baseClasses": ["VectorStoreRetriever"],
"category": "Retrievers",
"description": "Store vector store as retriever. Used with MultiRetrievalQAChain",
"inputParams": [
{
"label": "Retriever Name",
"name": "name",
"type": "string",
"placeholder": "netflix movies",
"id": "vectorStoreRetriever_2-input-name-string"
},
{
"label": "Retriever Description",
"name": "description",
"type": "string",
"rows": 3,
"description": "Description of when to use the vector store retriever",
"placeholder": "Good for answering questions about netflix movies",
"id": "vectorStoreRetriever_2-input-description-string"
}
],
"inputAnchors": [
{
"label": "Vector Store",
"name": "vectorStore",
"type": "VectorStore",
"id": "vectorStoreRetriever_2-input-vectorStore-VectorStore"
}
],
"inputs": {
"vectorStore": "{{pineconeExistingIndex_0.data.instance}}",
"name": "animaniacs",
"description": "Good for answering questions about Animaniacs theme song"
},
"outputAnchors": [
{
"id": "vectorStoreRetriever_2-output-vectorStoreRetriever-VectorStoreRetriever",
"name": "vectorStoreRetriever",
"label": "VectorStoreRetriever",
"type": "VectorStoreRetriever"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 706.0716220151372,
"y": -217.51566869136752
},
"dragging": false
},
{
"width": 300,
"height": 505,
"id": "pineconeExistingIndex_0",
"position": {
"x": 267.45589163840236,
"y": -300.13817634747346
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"name": "pineconeExistingIndex",
"version": 1,
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"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}}",
"pineconeIndex": "",
"pineconeNamespace": "",
"pineconeMetadataFilter": "",
"topK": ""
},
"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": 267.45589163840236,
"y": -300.13817634747346
},
"dragging": false
},
{
"width": 300,
"height": 506,
"id": "chromaExistingIndex_0",
"position": {
"x": 264.5271545331116,
"y": 246.32716342844174
},
"type": "customNode",
"data": {
"id": "chromaExistingIndex_0",
"label": "Chroma Load Existing Index",
"name": "chromaExistingIndex",
"version": 1,
"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": "",
"topK": ""
},
"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": 264.5271545331116,
"y": 246.32716342844174
},
"dragging": false
},
{
"width": 300,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": -212.46977797044045,
"y": 252.45726960585722
},
"type": "customNode",
"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": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": -212.46977797044045,
"y": 252.45726960585722
},
"dragging": false
},
{
"width": 300,
"height": 702,
"id": "supabaseExistingIndex_0",
"position": {
"x": 270.90499551102573,
"y": 783.5053782099461
},
"type": "customNode",
"data": {
"id": "supabaseExistingIndex_0",
"label": "Supabase Load Existing Index",
"name": "supabaseExistingIndex",
"version": 1,
"type": "Supabase",
"baseClasses": ["Supabase", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Supabase (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["supabaseApi"],
"id": "supabaseExistingIndex_0-input-credential-credential"
},
{
"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": "",
"topK": ""
},
"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": 270.90499551102573,
"y": 783.5053782099461
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1154.0989175770958,
"y": -255.77769163789395
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1154.0989175770958,
"y": -255.77769163789395
},
"dragging": false
}
],
"edges": [
{
"source": "vectorStoreRetriever_0",
"sourceHandle": "vectorStoreRetriever_0-output-vectorStoreRetriever-VectorStoreRetriever",
"target": "multiRetrievalQAChain_0",
"targetHandle": "multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever",
"type": "buttonedge",
"id": "vectorStoreRetriever_0-vectorStoreRetriever_0-output-vectorStoreRetriever-VectorStoreRetriever-multiRetrievalQAChain_0-multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever",
"data": {
"label": ""
}
},
{
"source": "vectorStoreRetriever_1",
"sourceHandle": "vectorStoreRetriever_1-output-vectorStoreRetriever-VectorStoreRetriever",
"target": "multiRetrievalQAChain_0",
"targetHandle": "multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever",
"type": "buttonedge",
"id": "vectorStoreRetriever_1-vectorStoreRetriever_1-output-vectorStoreRetriever-VectorStoreRetriever-multiRetrievalQAChain_0-multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever",
"data": {
"label": ""
}
},
{
"source": "vectorStoreRetriever_2",
"sourceHandle": "vectorStoreRetriever_2-output-vectorStoreRetriever-VectorStoreRetriever",
"target": "multiRetrievalQAChain_0",
"targetHandle": "multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever",
"type": "buttonedge",
"id": "vectorStoreRetriever_2-vectorStoreRetriever_2-output-vectorStoreRetriever-VectorStoreRetriever-multiRetrievalQAChain_0-multiRetrievalQAChain_0-input-vectorStoreRetriever-VectorStoreRetriever",
"data": {
"label": ""
}
},
{
"source": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
"target": "vectorStoreRetriever_2",
"targetHandle": "vectorStoreRetriever_2-input-vectorStore-VectorStore",
"type": "buttonedge",
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore-vectorStoreRetriever_2-vectorStoreRetriever_2-input-vectorStore-VectorStore",
"data": {
"label": ""
}
},
{
"source": "chromaExistingIndex_0",
"sourceHandle": "chromaExistingIndex_0-output-vectorStore-Chroma|VectorStore",
"target": "vectorStoreRetriever_1",
"targetHandle": "vectorStoreRetriever_1-input-vectorStore-VectorStore",
"type": "buttonedge",
"id": "chromaExistingIndex_0-chromaExistingIndex_0-output-vectorStore-Chroma|VectorStore-vectorStoreRetriever_1-vectorStoreRetriever_1-input-vectorStore-VectorStore",
"data": {
"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",
"target": "chromaExistingIndex_0",
"targetHandle": "chromaExistingIndex_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-chromaExistingIndex_0-chromaExistingIndex_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"target": "supabaseExistingIndex_0",
"targetHandle": "supabaseExistingIndex_0-input-embeddings-Embeddings",
"type": "buttonedge",
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-supabaseExistingIndex_0-supabaseExistingIndex_0-input-embeddings-Embeddings",
"data": {
"label": ""
}
},
{
"source": "supabaseExistingIndex_0",
"sourceHandle": "supabaseExistingIndex_0-output-vectorStore-Supabase|VectorStore",
"target": "vectorStoreRetriever_0",
"targetHandle": "vectorStoreRetriever_0-input-vectorStore-VectorStore",
"type": "buttonedge",
"id": "supabaseExistingIndex_0-supabaseExistingIndex_0-output-vectorStore-Supabase|VectorStore-vectorStoreRetriever_0-vectorStoreRetriever_0-input-vectorStore-VectorStore",
"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/Multiple VectorDB.json → packages/server/marketplaces/chatflows/Multiple VectorDB.json
+885 -907
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/chatflows/OpenAI Agent.json
+483
View File
@@ -0,0 +1,483 @@
{
"description": "An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call",
"nodes": [
{
"width": 300,
"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,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 285.7750469157585,
"y": 465.1140427303788
},
"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
},
"selected": false,
"positionAbsolute": {
"x": 285.7750469157585,
"y": 465.1140427303788
},
"dragging": false
},
{
"width": 300,
"height": 277,
"id": "customTool_0",
"position": {
"x": 883.9529939431576,
"y": -32.32503903826486
},
"type": "customNode",
"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": {
"x": 883.9529939431576,
"y": -32.32503903826486
},
"dragging": false
},
{
"width": 300,
"height": 277,
"id": "serper_0",
"position": {
"x": 504.3508341937219,
"y": -10.324432507151982
},
"type": "customNode",
"data": {
"id": "serper_0",
"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": {},
"outputAnchors": [
{
"id": "serper_0-output-serper-Serper|Tool|StructuredTool",
"name": "serper",
"label": "Serper",
"type": "Serper | Tool | StructuredTool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 504.3508341937219,
"y": -10.324432507151982
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "openAIFunctionAgent_0",
"position": {
"x": 1241.9739093293213,
"y": 359.3158950327101
},
"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": ["{{calculator_0.data.instance}}", "{{serper_0.data.instance}}", "{{customTool_0.data.instance}}"],
"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": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1241.9739093293213,
"y": 359.3158950327101
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 817.8210275868742,
"y": 627.7677030233751
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 817.8210275868742,
"y": 627.7677030233751
},
"dragging": false
}
],
"edges": [
{
"source": "calculator_0",
"sourceHandle": "calculator_0-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain|Serializable",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-tools-Tool",
"type": "buttonedge",
"id": "calculator_0-calculator_0-output-calculator-Calculator|Tool|StructuredTool|BaseLangChain|Serializable-openAIFunctionAgent_0-openAIFunctionAgent_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "serper_0",
"sourceHandle": "serper_0-output-serper-Serper|Tool|StructuredTool",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-tools-Tool",
"type": "buttonedge",
"id": "serper_0-serper_0-output-serper-Serper|Tool|StructuredTool-openAIFunctionAgent_0-openAIFunctionAgent_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "customTool_0",
"sourceHandle": "customTool_0-output-customTool-CustomTool|Tool|StructuredTool",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-tools-Tool",
"type": "buttonedge",
"id": "customTool_0-customTool_0-output-customTool-CustomTool|Tool|StructuredTool-openAIFunctionAgent_0-openAIFunctionAgent_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-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/Prompt Chaining with VectorStore.json
+966
View File
@@ -0,0 +1,966 @@
{
"description": "Use chat history to rephrase user question, and answer the rephrased question using retrieved docs from vector store",
"nodes": [
{
"width": 300,
"height": 503,
"id": "pineconeExistingIndex_0",
"position": {
"x": 1062.7418678410986,
"y": -109.27680365777141
},
"type": "customNode",
"data": {
"id": "pineconeExistingIndex_0",
"label": "Pinecone Load Existing Index",
"version": 1,
"name": "pineconeExistingIndex",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Load existing index from Pinecone (i.e: Document has been upserted)",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeExistingIndex_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
},
{
"label": "Pinecone Namespace",
"name": "pineconeNamespace",
"type": "string",
"placeholder": "my-first-namespace",
"additionalParams": true,
"optional": true,
"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}}",
"pineconeIndex": "newindex",
"pineconeNamespace": "",
"pineconeMetadataFilter": "{}",
"topK": ""
},
"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": 1062.7418678410986,
"y": -109.27680365777141
},
"dragging": false
},
{
"width": 300,
"height": 327,
"id": "openAIEmbeddings_0",
"position": {
"x": 711.3971966563331,
"y": 7.7184225021727
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 711.3971966563331,
"y": 7.7184225021727
},
"dragging": false
},
{
"width": 300,
"height": 473,
"id": "promptTemplate_0",
"position": {
"x": 348.2881107399286,
"y": -97.74510214137423
},
"type": "customNode",
"data": {
"id": "promptTemplate_0",
"label": "Prompt Template",
"version": 1,
"name": "promptTemplate",
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate", "Runnable"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_0-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"template": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone question:",
"promptValues": "{\"question\":\"{{question}}\",\"chat_history\":\"{{chat_history}}\"}"
},
"outputAnchors": [
{
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 348.2881107399286,
"y": -97.74510214137423
},
"dragging": false
},
{
"width": 300,
"height": 522,
"id": "chatOpenAI_0",
"position": {
"x": 335.7621848973805,
"y": -651.7411273245009
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 1,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo-16k",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 335.7621848973805,
"y": -651.7411273245009
}
},
{
"width": 300,
"height": 522,
"id": "chatOpenAI_1",
"position": {
"x": 1765.2801848172305,
"y": -667.9261054149061
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"version": 1,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_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",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatOpenAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"step": 1,
"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-16k",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 1765.2801848172305,
"y": -667.9261054149061
}
},
{
"width": 300,
"height": 473,
"id": "promptTemplate_1",
"position": {
"x": 1773.720934090435,
"y": -116.71323227575395
},
"type": "customNode",
"data": {
"id": "promptTemplate_1",
"label": "Prompt Template",
"version": 1,
"name": "promptTemplate",
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate", "Runnable"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_1-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_1-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"template": "Use the following pieces of context to answer the question at the end.\n\n{context}\n\nQuestion: {question}\nHelpful Answer:",
"promptValues": "{\"context\":\"{{vectorStoreToDocument_0.data.instance}}\",\"question\":\"{{llmChain_0.data.instance}}\"}"
},
"outputAnchors": [
{
"id": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1773.720934090435,
"y": -116.71323227575395
},
"dragging": false
},
{
"width": 300,
"height": 404,
"id": "llmChain_0",
"position": {
"x": 756.1670091985342,
"y": -592.5151355056942
},
"type": "customNode",
"data": {
"id": "llmChain_0",
"label": "LLM Chain",
"version": 1,
"name": "llmChain",
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Chain to run queries against LLMs",
"inputParams": [
{
"label": "Chain Name",
"name": "chainName",
"type": "string",
"placeholder": "Name Your Chain",
"optional": true,
"id": "llmChain_0-input-chainName-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "llmChain_0-input-model-BaseLanguageModel"
},
{
"label": "Prompt",
"name": "prompt",
"type": "BasePromptTemplate",
"id": "llmChain_0-input-prompt-BasePromptTemplate"
}
],
"inputs": {
"model": "{{chatOpenAI_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"chainName": "QuestionChain"
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
"name": "llmChain",
"label": "LLM Chain",
"type": "LLMChain | BaseChain | Runnable"
},
{
"id": "llmChain_0-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string | json"
}
],
"default": "llmChain"
}
],
"outputs": {
"output": "outputPrediction"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 756.1670091985342,
"y": -592.5151355056942
},
"dragging": false
},
{
"width": 300,
"height": 404,
"id": "llmChain_1",
"position": {
"x": 2200.1274896215496,
"y": -144.29167974642334
},
"type": "customNode",
"data": {
"id": "llmChain_1",
"label": "LLM Chain",
"version": 1,
"name": "llmChain",
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
"category": "Chains",
"description": "Chain to run queries against LLMs",
"inputParams": [
{
"label": "Chain Name",
"name": "chainName",
"type": "string",
"placeholder": "Name Your Chain",
"optional": true,
"id": "llmChain_1-input-chainName-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "llmChain_1-input-model-BaseLanguageModel"
},
{
"label": "Prompt",
"name": "prompt",
"type": "BasePromptTemplate",
"id": "llmChain_1-input-prompt-BasePromptTemplate"
}
],
"inputs": {
"model": "{{chatOpenAI_1.data.instance}}",
"prompt": "{{promptTemplate_1.data.instance}}",
"chainName": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|Runnable",
"name": "llmChain",
"label": "LLM Chain",
"type": "LLMChain | BaseChain | Runnable"
},
{
"id": "llmChain_1-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string | json"
}
],
"default": "llmChain"
}
],
"outputs": {
"output": "llmChain"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 2200.1274896215496,
"y": -144.29167974642334
},
"dragging": false
},
{
"width": 300,
"height": 353,
"id": "vectorStoreToDocument_0",
"position": {
"x": 1407.7038120189868,
"y": -26.16468811205081
},
"type": "customNode",
"data": {
"id": "vectorStoreToDocument_0",
"label": "VectorStore To Document",
"version": 1,
"name": "vectorStoreToDocument",
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Search documents with scores from vector store",
"inputParams": [
{
"label": "Minimum Score (%)",
"name": "minScore",
"type": "number",
"optional": true,
"placeholder": "75",
"step": 1,
"description": "Minumum score for embeddings documents to be included",
"id": "vectorStoreToDocument_0-input-minScore-number"
}
],
"inputAnchors": [
{
"label": "Vector Store",
"name": "vectorStore",
"type": "VectorStore",
"id": "vectorStoreToDocument_0-input-vectorStore-VectorStore"
}
],
"inputs": {
"vectorStore": "{{pineconeExistingIndex_0.data.instance}}",
"minScore": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "vectorStoreToDocument_0-output-document-Document",
"name": "document",
"label": "Document",
"type": "Document"
},
{
"id": "vectorStoreToDocument_0-output-text-string|json",
"name": "text",
"label": "Text",
"type": "string | json"
}
],
"default": "document"
}
],
"outputs": {
"output": "text"
},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1407.7038120189868,
"y": -26.16468811205081
},
"dragging": false
}
],
"edges": [
{
"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": "pineconeExistingIndex_0",
"sourceHandle": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
"target": "vectorStoreToDocument_0",
"targetHandle": "vectorStoreToDocument_0-input-vectorStore-VectorStore",
"type": "buttonedge",
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore-vectorStoreToDocument_0-vectorStoreToDocument_0-input-vectorStore-VectorStore",
"data": {
"label": ""
}
},
{
"source": "vectorStoreToDocument_0",
"sourceHandle": "vectorStoreToDocument_0-output-text-string|json",
"target": "promptTemplate_1",
"targetHandle": "promptTemplate_1-input-promptValues-json",
"type": "buttonedge",
"id": "vectorStoreToDocument_0-vectorStoreToDocument_0-output-text-string|json-promptTemplate_1-promptTemplate_1-input-promptValues-json",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "llmChain_0",
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "promptTemplate_0",
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
"target": "llmChain_0",
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
},
{
"source": "llmChain_0",
"sourceHandle": "llmChain_0-output-outputPrediction-string|json",
"target": "promptTemplate_1",
"targetHandle": "promptTemplate_1-input-promptValues-json",
"type": "buttonedge",
"id": "llmChain_0-llmChain_0-output-outputPrediction-string|json-promptTemplate_1-promptTemplate_1-input-promptValues-json",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "promptTemplate_1",
"sourceHandle": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "promptTemplate_1-promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/Prompt Chaining.json → packages/server/marketplaces/chatflows/Prompt Chaining.json
+504 -482
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/chatflows/Replicate LLM.json
+281
View File
@@ -0,0 +1,281 @@
{
"description": "Use Replicate API that runs Llama 13b v2 model with LLMChain",
"nodes": [
{
"width": 300,
"height": 405,
"id": "llmChain_1",
"position": {
"x": 967.581544453458,
"y": 320.56761595884564
},
"type": "customNode",
"data": {
"id": "llmChain_1",
"label": "LLM Chain",
"version": 1,
"name": "llmChain",
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
"description": "Chain to run queries against LLMs",
"inputParams": [
{
"label": "Chain Name",
"name": "chainName",
"type": "string",
"placeholder": "Name Your Chain",
"optional": true,
"id": "llmChain_1-input-chainName-string"
}
],
"inputAnchors": [
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "llmChain_1-input-model-BaseLanguageModel"
},
{
"label": "Prompt",
"name": "prompt",
"type": "BasePromptTemplate",
"id": "llmChain_1-input-prompt-BasePromptTemplate"
}
],
"inputs": {
"model": "{{replicate_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"chainName": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
"name": "llmChain",
"label": "LLM Chain",
"type": "LLMChain | BaseChain | BaseLangChain"
},
{
"id": "llmChain_1-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string | json"
}
],
"default": "llmChain"
}
],
"outputs": {
"output": "llmChain"
},
"selected": false
},
"positionAbsolute": {
"x": 967.581544453458,
"y": 320.56761595884564
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 474,
"id": "promptTemplate_0",
"position": {
"x": 269.2203229225663,
"y": 129.02909641085535
},
"type": "customNode",
"data": {
"id": "promptTemplate_0",
"label": "Prompt Template",
"version": 1,
"name": "promptTemplate",
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_0-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"template": "Assistant: You are a helpful assistant. You do not respond as 'User' or pretend to be 'User'. You only respond once as Assistant.\nUser: {query}\nAssistant:",
"promptValues": "{\"query\":\"{{question}}\"}"
},
"outputAnchors": [
{
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 269.2203229225663,
"y": 129.02909641085535
},
"dragging": false
},
{
"width": 300,
"height": 526,
"id": "replicate_0",
"position": {
"x": 623.313978186024,
"y": -72.92788335022428
},
"type": "customNode",
"data": {
"id": "replicate_0",
"label": "Replicate",
"version": 1,
"name": "replicate",
"type": "Replicate",
"baseClasses": ["Replicate", "BaseChatModel", "LLM", "BaseLLM", "BaseLanguageModel", "Runnable"],
"category": "LLMs",
"description": "Use Replicate to run open source models on cloud",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["replicateApi"],
"id": "replicate_0-input-credential-credential"
},
{
"label": "Model",
"name": "model",
"type": "string",
"placeholder": "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
"optional": true,
"id": "replicate_0-input-model-string"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"description": "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.",
"default": 0.7,
"optional": true,
"id": "replicate_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"step": 1,
"description": "Maximum number of tokens to generate. A word is generally 2-3 tokens",
"optional": true,
"additionalParams": true,
"id": "replicate_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"step": 0.1,
"description": "When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens",
"optional": true,
"additionalParams": true,
"id": "replicate_0-input-topP-number"
},
{
"label": "Repetition Penalty",
"name": "repetitionPenalty",
"type": "number",
"step": 0.1,
"description": "Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. (minimum: 0.01; maximum: 5)",
"optional": true,
"additionalParams": true,
"id": "replicate_0-input-repetitionPenalty-number"
},
{
"label": "Additional Inputs",
"name": "additionalInputs",
"type": "json",
"description": "Each model has different parameters, refer to the specific model accepted inputs. For example: <a target=\"_blank\" href=\"https://replicate.com/a16z-infra/llama13b-v2-chat/api#inputs\">llama13b-v2</a>",
"additionalParams": true,
"optional": true,
"id": "replicate_0-input-additionalInputs-json"
}
],
"inputAnchors": [],
"inputs": {
"model": "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
"temperature": 0.7,
"maxTokens": "",
"topP": "",
"repetitionPenalty": "",
"additionalInputs": ""
},
"outputAnchors": [
{
"id": "replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable",
"name": "replicate",
"label": "Replicate",
"type": "Replicate | BaseChatModel | LLM | BaseLLM | BaseLanguageModel | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 623.313978186024,
"y": -72.92788335022428
},
"dragging": false
}
],
"edges": [
{
"source": "promptTemplate_0",
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
},
{
"source": "replicate_0",
"sourceHandle": "replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "replicate_0-replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"data": {
"label": ""
}
}
]
}
packages/server/marketplaces/SQL DB Chain.json → packages/server/marketplaces/chatflows/SQL DB Chain.json
+159 -149
View File
@@ -1,151 +1,6 @@
{
"description": "Answer questions over a SQL database",
"nodes": [
{
"width": 300,
"height": 524,
"id": "openAI_1",
"position": {
"x": 835.4668837832456,
"y": 182.4724119898708
},
"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,
"id": "openAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"temperature": 0.7,
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 835.4668837832456,
"y": 182.4724119898708
},
"dragging": false
},
{
"width": 300,
"height": 424,
@@ -159,6 +14,7 @@
"id": "sqlDatabaseChain_0",
"label": "Sql Database Chain",
"name": "sqlDatabaseChain",
"version": 1,
"type": "SqlDatabaseChain",
"baseClasses": ["SqlDatabaseChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -194,7 +50,7 @@
}
],
"inputs": {
"model": "{{openAI_1.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"database": "sqlite",
"dbFilePath": ""
},
@@ -215,16 +71,170 @@
"y": 217.507437391498
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 855.0396169649254,
"y": 179.29430548099504
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 855.0396169649254,
"y": 179.29430548099504
},
"dragging": false
}
],
"edges": [
{
"source": "openAI_1",
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "sqlDatabaseChain_0",
"targetHandle": "sqlDatabaseChain_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-sqlDatabaseChain_0-sqlDatabaseChain_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-sqlDatabaseChain_0-sqlDatabaseChain_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/Simple Conversation Chain.json → packages/server/marketplaces/chatflows/Simple Conversation Chain.json
+120 -85
View File
@@ -3,27 +3,86 @@
"nodes": [
{
"width": 300,
"height": 524,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 753.4300788823234,
"y": 479.5336426526603
},
"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
},
"selected": false,
"positionAbsolute": {
"x": 753.4300788823234,
"y": 479.5336426526603
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 750.6529856117049,
"y": -75.72544375812092
"x": 754.8942497823595,
"y": -70.76607584232393
},
"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_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -35,20 +94,32 @@
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
"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",
@@ -102,6 +173,14 @@
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
@@ -112,70 +191,15 @@
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"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"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 750.6529856117049,
"y": -75.72544375812092
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 753.4300788823234,
"y": 479.5336426526603
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"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_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"
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
@@ -183,26 +207,27 @@
},
"selected": false,
"positionAbsolute": {
"x": 753.4300788823234,
"y": 479.5336426526603
"x": 754.8942497823595,
"y": -70.76607584232393
},
"dragging": false
},
{
"width": 300,
"height": 332,
"height": 383,
"id": "conversationChain_0",
"position": {
"x": 1201.6630991237407,
"y": 291.86981791303066
"x": 1174.6496397666272,
"y": 311.1052536740497
},
"type": "customNode",
"data": {
"id": "conversationChain_0",
"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": [
@@ -229,19 +254,29 @@
"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": "{{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": {},
@@ -249,8 +284,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 1201.6630991237407,
"y": 291.86981791303066
"x": 1174.6496397666272,
"y": 311.1052536740497
},
"dragging": false
}
@@ -258,11 +293,11 @@
"edges": [
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationChain_0",
"targetHandle": "conversationChain_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-conversationChain_0-conversationChain_0-input-model-BaseChatModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationChain_0-conversationChain_0-input-model-BaseChatModel",
"data": {
"label": ""
}
packages/server/marketplaces/Simple LLM Chain.json → packages/server/marketplaces/chatflows/Simple LLM Chain.json
+230 -219
View File
@@ -3,213 +3,7 @@
"nodes": [
{
"width": 300,
"height": 526,
"id": "openAI_1",
"position": {
"x": 510.75932526856377,
"y": -44.80152395958956
},
"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,
"id": "openAI_1-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-bestOf-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_1-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"temperature": 0.7,
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 510.75932526856377,
"y": -44.80152395958956
},
"dragging": false
},
{
"width": 300,
"height": 534,
"id": "promptTemplate_1",
"position": {
"x": 514.5434056794296,
"y": 507.47798128037107
},
"type": "customNode",
"data": {
"id": "promptTemplate_1",
"label": "Prompt Template",
"name": "promptTemplate",
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_1-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "string",
"rows": 4,
"placeholder": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_1-input-promptValues-string"
}
],
"inputAnchors": [],
"inputs": {
"template": "",
"promptValues": ""
},
"outputAnchors": [
{
"id": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 514.5434056794296,
"y": 507.47798128037107
},
"dragging": false
},
{
"width": 300,
"height": 407,
"height": 405,
"id": "llmChain_1",
"position": {
"x": 970.9254258940236,
@@ -220,6 +14,7 @@
"id": "llmChain_1",
"label": "LLM Chain",
"name": "llmChain",
"version": 1,
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -249,8 +44,8 @@
}
],
"inputs": {
"model": "{{openAI_1.data.instance}}",
"prompt": "{{promptTemplate_1.data.instance}}",
"model": "{{openAI_0.data.instance}}",
"prompt": "{{promptTemplate_0.data.instance}}",
"chainName": ""
},
"outputAnchors": [
@@ -266,10 +61,10 @@
"type": "LLMChain | BaseChain | BaseLangChain"
},
{
"id": "llmChain_1-output-outputPrediction-string",
"id": "llmChain_1-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string"
"type": "string | json"
}
],
"default": "llmChain"
@@ -286,27 +81,243 @@
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 475,
"id": "promptTemplate_0",
"position": {
"x": 517.7412884791509,
"y": 506.7411400888471
},
"type": "customNode",
"data": {
"id": "promptTemplate_0",
"label": "Prompt Template",
"name": "promptTemplate",
"version": 1,
"type": "PromptTemplate",
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a basic prompt for an LLM",
"inputParams": [
{
"label": "Template",
"name": "template",
"type": "string",
"rows": 4,
"placeholder": "What is a good name for a company that makes {product}?",
"id": "promptTemplate_0-input-template-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "promptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"template": "What is a good name for a company that makes {product}?",
"promptValues": ""
},
"outputAnchors": [
{
"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"name": "promptTemplate",
"label": "PromptTemplate",
"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 517.7412884791509,
"y": 506.7411400888471
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "openAI_0",
"position": {
"x": 513.3297923232442,
"y": -42.67554802812833
},
"type": "customNode",
"data": {
"id": "openAI_0",
"label": "OpenAI",
"name": "openAI",
"version": 1,
"type": "OpenAI",
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
"category": "LLMs",
"description": "Wrapper around OpenAI large language models",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAI_0-input-credential-credential"
},
{
"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_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.7,
"optional": true,
"id": "openAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-topP-number"
},
{
"label": "Best Of",
"name": "bestOf",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-bestOf-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-presencePenalty-number"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "text-davinci-003",
"temperature": 0.7,
"maxTokens": "",
"topP": "",
"bestOf": "",
"frequencyPenalty": "",
"presencePenalty": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
"name": "openAI",
"label": "OpenAI",
"type": "OpenAI | BaseLLM | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 513.3297923232442,
"y": -42.67554802812833
},
"dragging": false
}
],
"edges": [
{
"source": "openAI_1",
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain",
"source": "promptTemplate_0",
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel|BaseLangChain-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
},
{
"source": "promptTemplate_1",
"sourceHandle": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
"source": "openAI_0",
"sourceHandle": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "promptTemplate_1-promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/Translator.json → packages/server/marketplaces/chatflows/Translator.json
+237 -214
View File
@@ -3,208 +3,7 @@
"nodes": [
{
"width": 300,
"height": 711,
"id": "chatPromptTemplate_1",
"position": {
"x": 441.8516979620723,
"y": 636.1108860994266
},
"type": "customNode",
"data": {
"id": "chatPromptTemplate_1",
"label": "Chat Prompt Template",
"name": "chatPromptTemplate",
"type": "ChatPromptTemplate",
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a chat prompt",
"inputParams": [
{
"label": "System Message",
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
"id": "chatPromptTemplate_1-input-systemMessagePrompt-string"
},
{
"label": "Human Message",
"name": "humanMessagePrompt",
"type": "string",
"rows": 4,
"placeholder": "{text}",
"id": "chatPromptTemplate_1-input-humanMessagePrompt-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "string",
"rows": 4,
"placeholder": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "chatPromptTemplate_1-input-promptValues-string"
}
],
"inputAnchors": [],
"inputs": {
"systemMessagePrompt": "You are a helpful assistant that translates {input_language} to {output_language}.",
"humanMessagePrompt": "{input}",
"promptValues": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}"
},
"outputAnchors": [
{
"id": "chatPromptTemplate_1-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
"name": "chatPromptTemplate",
"label": "ChatPromptTemplate",
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 441.8516979620723,
"y": 636.1108860994266
},
"dragging": false
},
{
"width": 300,
"height": 526,
"id": "chatOpenAI_1",
"position": {
"x": 439.5219561593599,
"y": 93.61600226758335
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
"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": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"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-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0301",
"name": "gpt-3.5-turbo-0301"
}
],
"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"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 439.5219561593599,
"y": 93.61600226758335
},
"dragging": false
},
{
"width": 300,
"height": 407,
"height": 405,
"id": "llmChain_1",
"position": {
"x": 865.7775572410412,
@@ -215,6 +14,7 @@
"id": "llmChain_1",
"label": "LLM Chain",
"name": "llmChain",
"version": 1,
"type": "LLMChain",
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@@ -244,8 +44,8 @@
}
],
"inputs": {
"model": "{{chatOpenAI_1.data.instance}}",
"prompt": "{{chatPromptTemplate_1.data.instance}}",
"model": "{{chatOpenAI_0.data.instance}}",
"prompt": "{{chatPromptTemplate_0.data.instance}}",
"chainName": "Language Translation"
},
"outputAnchors": [
@@ -261,10 +61,10 @@
"type": "LLMChain | BaseChain | BaseLangChain"
},
{
"id": "llmChain_1-output-outputPrediction-string",
"id": "llmChain_1-output-outputPrediction-string|json",
"name": "outputPrediction",
"label": "Output Prediction",
"type": "string"
"type": "string | json"
}
],
"default": "llmChain"
@@ -281,27 +81,250 @@
"y": 543.9211372857111
},
"dragging": false
},
{
"width": 300,
"height": 652,
"id": "chatPromptTemplate_0",
"position": {
"x": 437.51367850489396,
"y": 649.7619214034173
},
"type": "customNode",
"data": {
"id": "chatPromptTemplate_0",
"label": "Chat Prompt Template",
"name": "chatPromptTemplate",
"version": 1,
"type": "ChatPromptTemplate",
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate"],
"category": "Prompts",
"description": "Schema to represent a chat prompt",
"inputParams": [
{
"label": "System Message",
"name": "systemMessagePrompt",
"type": "string",
"rows": 4,
"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
"id": "chatPromptTemplate_0-input-systemMessagePrompt-string"
},
{
"label": "Human Message",
"name": "humanMessagePrompt",
"type": "string",
"rows": 4,
"placeholder": "{text}",
"id": "chatPromptTemplate_0-input-humanMessagePrompt-string"
},
{
"label": "Format Prompt Values",
"name": "promptValues",
"type": "json",
"optional": true,
"acceptVariable": true,
"list": true,
"id": "chatPromptTemplate_0-input-promptValues-json"
}
],
"inputAnchors": [],
"inputs": {
"systemMessagePrompt": "You are a helpful assistant that translates {input_language} to {output_language}.",
"humanMessagePrompt": "{text}",
"promptValues": "{\"input_language\":\"English\",\"output_language\":\"French\",\"text\":\"{{question}}\"}"
},
"outputAnchors": [
{
"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
"name": "chatPromptTemplate",
"label": "ChatPromptTemplate",
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 437.51367850489396,
"y": 649.7619214034173
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 436.97058562345904,
"y": 99.96180150605153
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"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_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 436.97058562345904,
"y": 99.96180150605153
},
"dragging": false
}
],
"edges": [
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"source": "chatPromptTemplate_0",
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"data": {
"label": ""
}
},
{
"source": "chatPromptTemplate_1",
"sourceHandle": "chatPromptTemplate_1-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "llmChain_1",
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatPromptTemplate_1-chatPromptTemplate_1-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
"data": {
"label": ""
}
packages/server/marketplaces/chatflows/Vectara LLM Chain Upload.json
+448
View File
@@ -0,0 +1,448 @@
{
"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded documents",
"nodes": [
{
"width": 300,
"height": 525,
"id": "chatOpenAI_0",
"position": { "x": 514.1088940275924, "y": 199.574479681537 },
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 1,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{ "label": "gpt-4", "name": "gpt-4" },
{ "label": "gpt-4-0613", "name": "gpt-4-0613" },
{ "label": "gpt-4-32k", "name": "gpt-4-32k" },
{ "label": "gpt-4-32k-0613", "name": "gpt-4-32k-0613" },
{ "label": "gpt-3.5-turbo", "name": "gpt-3.5-turbo" },
{ "label": "gpt-3.5-turbo-0613", "name": "gpt-3.5-turbo-0613" },
{ "label": "gpt-3.5-turbo-16k", "name": "gpt-3.5-turbo-16k" },
{ "label": "gpt-3.5-turbo-16k-0613", "name": "gpt-3.5-turbo-16k-0613" }
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0.5",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": { "x": 514.1088940275924, "y": 199.574479681537 },
"dragging": false
},
{
"width": 300,
"height": 481,
"id": "conversationalRetrievalQAChain_0",
"position": { "x": 900.4793407261002, "y": 205.9476004518217 },
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"name": "conversationalRetrievalQAChain",
"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": "{{vectaraUpsert_0.data.instance}}",
"memory": "",
"returnSourceDocuments": "",
"systemMessagePrompt": "",
"chainOption": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": { "x": 900.4793407261002, "y": 205.9476004518217 },
"dragging": false
},
{
"width": 300,
"height": 509,
"id": "pdfFile_0",
"position": { "x": -210.44158723479913, "y": 236.6627524951051 },
"type": "customNode",
"data": {
"id": "pdfFile_0",
"label": "Pdf File",
"version": 1,
"name": "pdfFile",
"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": -210.44158723479913, "y": 236.6627524951051 },
"dragging": false
},
{
"width": 300,
"height": 408,
"id": "vectaraUpsert_0",
"position": { "x": 172.06946164914868, "y": 373.11406233089934 },
"type": "customNode",
"data": {
"id": "vectaraUpsert_0",
"label": "Vectara Upsert Document",
"version": 1,
"name": "vectaraUpsert",
"type": "Vectara",
"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Vectara",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["vectaraApi"],
"id": "vectaraUpsert_0-input-credential-credential"
},
{
"label": "Vectara Metadata Filter",
"name": "filter",
"description": "Filter to apply to Vectara metadata. Refer to the <a target=\"_blank\" href=\"https://docs.flowiseai.com/vector-stores/vectara\">documentation</a> on how to use Vectara filters with Flowise.",
"type": "string",
"additionalParams": true,
"optional": true,
"id": "vectaraUpsert_0-input-filter-string"
},
{
"label": "Sentences Before",
"name": "sentencesBefore",
"description": "Number of sentences to fetch before the matched sentence. Defaults to 2.",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectaraUpsert_0-input-sentencesBefore-number"
},
{
"label": "Sentences After",
"name": "sentencesAfter",
"description": "Number of sentences to fetch after the matched sentence. Defaults to 2.",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectaraUpsert_0-input-sentencesAfter-number"
},
{
"label": "Lambda",
"name": "lambda",
"description": "Improves retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectaraUpsert_0-input-lambda-number"
},
{
"label": "Top K",
"name": "topK",
"description": "Number of top results to fetch. Defaults to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "vectaraUpsert_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Document",
"name": "document",
"type": "Document",
"list": true,
"id": "vectaraUpsert_0-input-document-Document"
}
],
"inputs": {
"document": ["{{pdfFile_0.data.instance}}"],
"filter": "",
"sentencesBefore": "",
"sentencesAfter": "",
"lambda": "",
"topK": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
"name": "retriever",
"label": "Vectara Retriever",
"type": "Vectara | VectorStoreRetriever | BaseRetriever"
},
{
"id": "vectaraUpsert_0-output-vectorStore-Vectara|VectorStore",
"name": "vectorStore",
"label": "Vectara Vector Store",
"type": "Vectara | VectorStore"
}
],
"default": "retriever"
}
],
"outputs": { "output": "retriever" },
"selected": false
},
"positionAbsolute": { "x": 172.06946164914868, "y": 373.11406233089934 },
"selected": false
}
],
"edges": [
{
"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": "pdfFile_0",
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
"target": "vectaraUpsert_0",
"targetHandle": "vectaraUpsert_0-input-document-Document",
"type": "buttonedge",
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-vectaraUpsert_0-vectaraUpsert_0-input-document-Document",
"data": { "label": "" }
},
{
"source": "vectaraUpsert_0",
"sourceHandle": "vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"id": "vectaraUpsert_0-vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"data": { "label": "" }
}
]
}
packages/server/marketplaces/WebBrowser.json → packages/server/marketplaces/chatflows/WebBrowser.json
+314 -263
View File
@@ -3,27 +3,216 @@
"nodes": [
{
"width": 300,
"height": 524,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 457.04304716743604,
"y": 362.4048129799687
},
"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
},
"selected": false,
"positionAbsolute": {
"x": 457.04304716743604,
"y": 362.4048129799687
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "webBrowser_0",
"position": {
"x": 1091.0866823400172,
"y": -16.43806989958216
},
"type": "customNode",
"data": {
"id": "webBrowser_0",
"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": {
"x": 1091.0866823400172,
"y": -16.43806989958216
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 1464.513303631911,
"y": 155.73036805253955
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"name": "conversationalAgent",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
{
"label": "System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"default": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.",
"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"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."
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1464.513303631911,
"y": 155.73036805253955
},
"dragging": false
},
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 348.0817836845733,
"y": -86.56099395751443
"x": 734.7477982032904,
"y": -400.9979556765114
},
"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_0-input-openAIApiKey-password"
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
@@ -35,20 +224,32 @@
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
"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",
@@ -102,6 +303,14 @@
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
@@ -112,14 +321,15 @@
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"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": {},
@@ -127,90 +337,36 @@
},
"selected": false,
"positionAbsolute": {
"x": 348.0817836845733,
"y": -86.56099395751443
"x": 734.7477982032904,
"y": -400.9979556765114
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "bufferMemory_0",
"position": {
"x": 15.045898260926037,
"y": 114.13407401971622
},
"type": "customNode",
"data": {
"id": "bufferMemory_0",
"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_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": 15.045898260926037,
"y": 114.13407401971622
},
"dragging": false
},
{
"width": 300,
"height": 330,
"height": 329,
"id": "openAIEmbeddings_0",
"position": {
"x": 693.9266260641734,
"y": 37.098856540087496
"x": 403.72014625628697,
"y": -103.82540449681527
},
"type": "customNode",
"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",
@@ -235,13 +391,22 @@
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
@@ -256,34 +421,36 @@
},
"selected": false,
"positionAbsolute": {
"x": 693.9266260641734,
"y": 37.098856540087496
"x": 403.72014625628697,
"y": -103.82540449681527
},
"dragging": false
},
{
"width": 300,
"height": 524,
"height": 523,
"id": "chatOpenAI_1",
"position": {
"x": 691.5132411896494,
"y": -533.1696369549378
"x": 68.312124033115,
"y": -169.65476709991256
},
"type": "customNode",
"data": {
"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",
@@ -295,20 +462,32 @@
"name": "gpt-4"
},
{
"label": "gpt-4-0314",
"name": "gpt-4-0314"
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k-0314",
"name": "gpt-4-32k-0314"
"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",
@@ -362,6 +541,14 @@
"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": [],
@@ -372,14 +559,15 @@
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": ""
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"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": {},
@@ -387,161 +575,13 @@
},
"selected": false,
"positionAbsolute": {
"x": 691.5132411896494,
"y": -533.1696369549378
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "webBrowser_0",
"position": {
"x": 1091.0866823400172,
"y": -16.43806989958216
},
"type": "customNode",
"data": {
"id": "webBrowser_0",
"label": "Web Browser",
"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}}"
},
"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": {
"x": 1091.0866823400172,
"y": -16.43806989958216
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 1451.6222493253506,
"y": 239.69137914100338
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"name": "conversationalAgent",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
{
"label": "System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"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": [
{
"label": "Allowed Tools",
"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_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": {
"x": 1451.6222493253506,
"y": 239.69137914100338
"x": 68.312124033115,
"y": -169.65476709991256
},
"dragging": false
}
],
"edges": [
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "webBrowser_0",
"targetHandle": "webBrowser_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-webBrowser_0-webBrowser_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
@@ -553,6 +593,28 @@
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "webBrowser_0",
"targetHandle": "webBrowser_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-webBrowser_0-webBrowser_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "webBrowser_0",
"sourceHandle": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
@@ -564,17 +626,6 @@
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
packages/server/marketplaces/chatflows/WebPage QnA.json
+771
View File
@@ -0,0 +1,771 @@
{
"description": "Scrape web pages for QnA with long term memory Motorhead and return source documents",
"nodes": [
{
"width": 300,
"height": 523,
"id": "chatOpenAI_0",
"position": {
"x": 1542.965468159417,
"y": -200.10756989974368
},
"type": "customNode",
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"version": 1,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "chatOpenAI_0-input-credential-credential"
},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
"options": [
{
"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
},
{
"label": "gpt-3.5-turbo-0613",
"name": "gpt-3.5-turbo-0613"
},
{
"label": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k"
},
{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
}
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
"name": "temperature",
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
"name": "maxTokens",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
"name": "topP",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo-16k",
"temperature": "0.9",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1542.965468159417,
"y": -200.10756989974368
},
"selected": false,
"dragging": false
},
{
"width": 300,
"height": 328,
"id": "openAIEmbeddings_0",
"position": {
"x": 827.6835380475393,
"y": 253.8955254525015
},
"type": "customNode",
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"version": 1,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["openAIApi"],
"id": "openAIEmbeddings_0-input-credential-credential"
},
{
"label": "Strip New Lines",
"name": "stripNewLines",
"type": "boolean",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-stripNewLines-boolean"
},
{
"label": "Batch Size",
"name": "batchSize",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-batchSize-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAIEmbeddings_0-input-basepath-string"
}
],
"inputAnchors": [],
"inputs": {
"stripNewLines": "",
"batchSize": "",
"timeout": "",
"basepath": ""
},
"outputAnchors": [
{
"id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"name": "openAIEmbeddings",
"label": "OpenAIEmbeddings",
"type": "OpenAIEmbeddings | Embeddings"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 827.6835380475393,
"y": 253.8955254525015
},
"dragging": false
},
{
"width": 300,
"height": 376,
"id": "htmlToMarkdownTextSplitter_0",
"position": {
"x": 465.86869036784685,
"y": -17.41141011530891
},
"type": "customNode",
"data": {
"id": "htmlToMarkdownTextSplitter_0",
"label": "HtmlToMarkdown Text Splitter",
"version": 1,
"name": "htmlToMarkdownTextSplitter",
"type": "HtmlToMarkdownTextSplitter",
"baseClasses": [
"HtmlToMarkdownTextSplitter",
"MarkdownTextSplitter",
"RecursiveCharacterTextSplitter",
"TextSplitter",
"BaseDocumentTransformer"
],
"category": "Text Splitters",
"description": "Converts Html to Markdown and then split your content into documents based on the Markdown headers",
"inputParams": [
{
"label": "Chunk Size",
"name": "chunkSize",
"type": "number",
"default": 1000,
"optional": true,
"id": "htmlToMarkdownTextSplitter_0-input-chunkSize-number"
},
{
"label": "Chunk Overlap",
"name": "chunkOverlap",
"type": "number",
"optional": true,
"id": "htmlToMarkdownTextSplitter_0-input-chunkOverlap-number"
}
],
"inputAnchors": [],
"inputs": {
"chunkSize": "4000",
"chunkOverlap": ""
},
"outputAnchors": [
{
"id": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
"name": "htmlToMarkdownTextSplitter",
"label": "HtmlToMarkdownTextSplitter",
"type": "HtmlToMarkdownTextSplitter | MarkdownTextSplitter | RecursiveCharacterTextSplitter | TextSplitter | BaseDocumentTransformer"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 465.86869036784685,
"y": -17.41141011530891
},
"dragging": false
},
{
"width": 300,
"height": 479,
"id": "conversationalRetrievalQAChain_0",
"position": {
"x": 1882.5543981868987,
"y": 305.08959224761225
},
"type": "customNode",
"data": {
"id": "conversationalRetrievalQAChain_0",
"label": "Conversational Retrieval QA Chain",
"version": 1,
"name": "conversationalRetrievalQAChain",
"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": "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 context. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Do not make up any information that is not in the context. Refuse to answer any question not about the info. Never break character.",
"chainOption": ""
},
"outputAnchors": [
{
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
"name": "conversationalRetrievalQAChain",
"label": "ConversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain | BaseChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1882.5543981868987,
"y": 305.08959224761225
},
"dragging": false
},
{
"width": 300,
"height": 380,
"id": "cheerioWebScraper_0",
"position": {
"x": 831.9867292136466,
"y": -181.92350323746112
},
"type": "customNode",
"data": {
"id": "cheerioWebScraper_0",
"label": "Cheerio Web Scraper",
"version": 1,
"name": "cheerioWebScraper",
"type": "Document",
"baseClasses": ["Document"],
"category": "Document Loaders",
"description": "Load data from webpages",
"inputParams": [
{
"label": "URL",
"name": "url",
"type": "string",
"id": "cheerioWebScraper_0-input-url-string"
},
{
"label": "Get Relative Links Method",
"name": "relativeLinksMethod",
"type": "options",
"description": "Select a method to retrieve relative links",
"options": [
{
"label": "Web Crawl",
"name": "webCrawl",
"description": "Crawl relative links from HTML URL"
},
{
"label": "Scrape XML Sitemap",
"name": "scrapeXMLSitemap",
"description": "Scrape relative links from XML sitemap URL"
}
],
"optional": true,
"additionalParams": true,
"id": "cheerioWebScraper_0-input-relativeLinksMethod-options"
},
{
"label": "Get Relative Links Limit",
"name": "limit",
"type": "number",
"optional": true,
"additionalParams": true,
"description": "Only used when \"Get Relative Links Method\" is selected. Set 0 to retrieve all relative links, default limit is 10.",
"warning": "Retrieving all links might take long time, and all links will be upserted again if the flow's state changed (eg: different URL, chunk size, etc)",
"id": "cheerioWebScraper_0-input-limit-number"
},
{
"label": "Metadata",
"name": "metadata",
"type": "json",
"optional": true,
"additionalParams": true,
"id": "cheerioWebScraper_0-input-metadata-json"
}
],
"inputAnchors": [
{
"label": "Text Splitter",
"name": "textSplitter",
"type": "TextSplitter",
"optional": true,
"id": "cheerioWebScraper_0-input-textSplitter-TextSplitter"
}
],
"inputs": {
"url": "https://flowiseai.com/",
"textSplitter": "{{htmlToMarkdownTextSplitter_0.data.instance}}",
"relativeLinksMethod": "",
"limit": "",
"metadata": ""
},
"outputAnchors": [
{
"id": "cheerioWebScraper_0-output-cheerioWebScraper-Document",
"name": "cheerioWebScraper",
"label": "Document",
"type": "Document"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 831.9867292136466,
"y": -181.92350323746112
},
"dragging": false
},
{
"width": 300,
"height": 555,
"id": "pineconeUpsert_0",
"position": {
"x": 1179.6228496246993,
"y": -167.023255532671
},
"type": "customNode",
"data": {
"id": "pineconeUpsert_0",
"label": "Pinecone Upsert Document",
"version": 1,
"name": "pineconeUpsert",
"type": "Pinecone",
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
"category": "Vector Stores",
"description": "Upsert documents to Pinecone",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["pineconeApi"],
"id": "pineconeUpsert_0-input-credential-credential"
},
{
"label": "Pinecone Index",
"name": "pineconeIndex",
"type": "string",
"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",
"description": "Number of top results to fetch. Default to 4",
"placeholder": "4",
"type": "number",
"additionalParams": true,
"optional": true,
"id": "pineconeUpsert_0-input-topK-number"
}
],
"inputAnchors": [
{
"label": "Document",
"name": "document",
"type": "Document",
"list": true,
"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": ""
},
"outputAnchors": [
{
"name": "output",
"label": "Output",
"type": "options",
"options": [
{
"id": "pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"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": {
"x": 1179.6228496246993,
"y": -167.023255532671
},
"dragging": false
},
{
"width": 300,
"height": 427,
"id": "motorheadMemory_0",
"position": {
"x": 1202.1545938923578,
"y": 425.69055061366237
},
"type": "customNode",
"data": {
"id": "motorheadMemory_0",
"label": "Motorhead Memory",
"version": 1,
"name": "motorheadMemory",
"type": "MotorheadMemory",
"baseClasses": ["MotorheadMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
"description": "Use Motorhead Memory to store chat conversations",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"optional": true,
"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 not specified, the first CHAT_MESSAGE_ID will be used as sessionId",
"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": 1202.1545938923578,
"y": 425.69055061366237
},
"dragging": false
}
],
"edges": [
{
"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": "htmlToMarkdownTextSplitter_0",
"sourceHandle": "htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
"target": "cheerioWebScraper_0",
"targetHandle": "cheerioWebScraper_0-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "htmlToMarkdownTextSplitter_0-htmlToMarkdownTextSplitter_0-output-htmlToMarkdownTextSplitter-HtmlToMarkdownTextSplitter|MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer-cheerioWebScraper_0-cheerioWebScraper_0-input-textSplitter-TextSplitter",
"data": {
"label": ""
}
},
{
"source": "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": "openAIEmbeddings_0",
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
"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": "pineconeUpsert_0",
"sourceHandle": "pineconeUpsert_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
"target": "conversationalRetrievalQAChain_0",
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
"type": "buttonedge",
"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": {
"label": ""
}
}
]
}
packages/server/marketplaces/Zapier NLA.json → packages/server/marketplaces/chatflows/Zapier NLA.json
+82 -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 @@
},
{
"width": 300,
"height": 524,
"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",
"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": {
"x": 547.3867724775708,
"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",
@@ -159,6 +217,14 @@
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"optional": true,
"additionalParams": true,
"id": "openAI_0-input-basepath-string"
}
],
"inputAnchors": [],
@@ -171,14 +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": {},
@@ -186,64 +253,10 @@
},
"selected": false,
"positionAbsolute": {
"x": 547.3867724775708,
"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": [
@@ -260,11 +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/marketplaces/tools/Add Hubspot Contact.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "add_contact_hubspot",
"description": "Add new contact to Hubspot",
"color": "linear-gradient(rgb(85,198,123), rgb(0,230,99))",
"iconSrc": "https://cdn.worldvectorlogo.com/logos/hubspot-1.svg",
"schema": "[{\"id\":1,\"property\":\"email\",\"description\":\"email address of contact\",\"type\":\"string\",\"required\":true},{\"id\":2,\"property\":\"firstname\",\"description\":\"first name of contact\",\"type\":\"string\",\"required\":false},{\"id\":3,\"property\":\"lastname\",\"description\":\"last name of contact\",\"type\":\"string\",\"required\":false}]",
"func": "const fetch = require('node-fetch');\nconst url = 'https://api.hubapi.com/crm/v3/objects/contacts'\nconst token = 'YOUR-TOKEN';\n\nconst body = {\n\t\"properties\": {\n\t \"email\": $email\n\t}\n};\n\nif ($firstname) body.properties.firstname = $firstname;\nif ($lastname) body.properties.lastname = $lastname;\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t 'Authorization': `Bearer ${token}`,\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify(body)\n};\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst text = await response.text();\n\treturn text;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/marketplaces/tools/Create Airtable Record.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "add_airtable",
"description": "Add column1, column2 to Airtable",
"color": "linear-gradient(rgb(125,71,222), rgb(128,102,23))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/airtable.svg",
"schema": "[{\"id\":0,\"property\":\"column1\",\"description\":\"this is column1\",\"type\":\"string\",\"required\":true},{\"id\":1,\"property\":\"column2\",\"description\":\"this is column2\",\"type\":\"string\",\"required\":true}]",
"func": "const fetch = require('node-fetch');\nconst baseId = 'YOUR-BASE-ID';\nconst tableId = 'YOUR-TABLE-ID';\nconst token = 'YOUR-TOKEN';\n\nconst body = {\n\t\"records\": [\n\t\t{\n\t\t\t\"fields\": {\n\t\t\t\t\"column1\": $column1,\n\t\t\t\t\"column2\": $column2,\n\t\t\t}\n\t\t}\n\t]\n};\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Authorization': `Bearer ${token}`,\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify(body)\n};\n\nconst url = `https://api.airtable.com/v0/${baseId}/${tableId}`\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst text = await response.text();\n\treturn text;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/marketplaces/tools/Get Stock Mover.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "get_stock_movers",
"description": "Get the stocks that has biggest price/volume moves, e.g. actives, gainers, losers, etc.",
"iconSrc": "https://rapidapi.com/cdn/images?url=https://rapidapi-prod-apis.s3.amazonaws.com/9c/e743343bdd41edad39a3fdffd5b974/016c33699f51603ae6fe4420c439124b.png",
"color": "linear-gradient(rgb(191,202,167), rgb(143,202,246))",
"schema": "[]",
"func": "const fetch = require('node-fetch');\nconst url = 'https://morning-star.p.rapidapi.com/market/v2/get-movers';\nconst options = {\n\tmethod: 'GET',\n\theaders: {\n\t\t'X-RapidAPI-Key': 'YOUR-API-KEY',\n\t\t'X-RapidAPI-Host': 'morning-star.p.rapidapi.com'\n\t}\n};\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst result = await response.text();\n\tconsole.log(result);\n\treturn result;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/marketplaces/tools/Make Webhook.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "make_webhook",
"description": "Useful when you need to send message to Discord",
"color": "linear-gradient(rgb(19,94,2), rgb(19,124,59))",
"iconSrc": "https://github.com/FlowiseAI/Flowise/assets/26460777/517fdab2-8a6e-4781-b3c8-fb92cc78aa0b",
"schema": "[{\"id\":0,\"property\":\"message\",\"description\":\"Message to send\",\"type\":\"string\",\"required\":true}]",
"func": "/*\n* You can use any libraries imported in Flowise\n* You can use properties specified in Output Schema as variables. Ex: Property = userid, Variable = $userid\n* Must return a string value at the end of function\n*/\n\nconst fetch = require('node-fetch');\nconst webhookUrl = 'https://hook.eu1.make.com/abcdefg';\nconst body = {\n\t\"message\": $message\n};\nconst options = {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify(body)\n};\ntry {\n const response = await fetch(webhookUrl, options);\n const text = await response.text();\n return text;\n} catch (error) {\n console.error(error);\n return '';\n}"
}
packages/server/marketplaces/tools/Send Discord Message.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "send_message_to_discord_channel",
"description": "Send message to Discord channel",
"color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/discord-icon.svg",
"schema": "[{\"id\":1,\"property\":\"content\",\"description\":\"message to send\",\"type\":\"string\",\"required\":true}]",
"func": "const fetch = require('node-fetch');\nconst webhookUrl = 'YOUR-WEBHOOK-URL'\n\nconst body = {\n\t\"content\": $content\n};\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify(body)\n};\n\nconst url = `${webhookUrl}?wait=true`\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst text = await response.text();\n\treturn text;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/marketplaces/tools/Send Slack Message.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "send_message_to_slack_channel",
"description": "Send message to Slack channel",
"color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/slack-icon.svg",
"schema": "[{\"id\":1,\"property\":\"text\",\"description\":\"message to send\",\"type\":\"string\",\"required\":true}]",
"func": "const fetch = require('node-fetch');\nconst webhookUrl = 'YOUR-WEBHOOK-URL'\n\nconst body = {\n\t\"text\": $text\n};\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify(body)\n};\n\nconst url = `${webhookUrl}`\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst text = await response.text();\n\treturn text;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/marketplaces/tools/Send Teams Message.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "send_message_to_teams_channel",
"description": "Send message to Teams channel",
"color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/microsoft-teams.svg",
"schema": "[{\"id\":1,\"property\":\"content\",\"description\":\"message to send\",\"type\":\"string\",\"required\":true}]",
"func": "const fetch = require('node-fetch');\nconst webhookUrl = 'YOUR-WEBHOOK-URL'\n\nconst body = {\n\t\"content\": $content\n};\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify(body)\n};\n\nconst url = `${webhookUrl}?wait=true`\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst text = await response.text();\n\treturn text;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/marketplaces/tools/SendGrid Email.json
+8
View File
@@ -0,0 +1,8 @@
{
"name": "sendgrid_email",
"description": "Send email using SendGrid",
"color": "linear-gradient(rgb(230,108,70), rgb(222,4,98))",
"iconSrc": "https://raw.githubusercontent.com/gilbarbara/logos/main/logos/sendgrid-icon.svg",
"schema": "[{\"id\":0,\"property\":\"fromEmail\",\"description\":\"Email address used to send the message\",\"type\":\"string\",\"required\":true},{\"id\":1,\"property\":\"toEmail\",\"description\":\"The intended recipient's email address\",\"type\":\"string\",\"required\":true},{\"id\":2,\"property\":\"subject\",\"description\":\"The subject of email\",\"type\":\"string\",\"required\":true},{\"id\":3,\"property\":\"content\",\"description\":\"Content of email\",\"type\":\"string\",\"required\":true}]",
"func": "const fetch = require('node-fetch');\nconst url = 'https://api.sendgrid.com/v3/mail/send';\nconst api_key = 'YOUR-API-KEY';\n\nconst body = {\n \"personalizations\": [\n {\n \"to\": [{ \"email\": $toEmail }]\n }\n ],\n\t\"from\": {\n\t \"email\": $fromEmail\n\t},\n\t\"subject\": $subject,\n\t\"content\": [\n\t {\n\t \"type\": 'text/plain',\n\t \"value\": $content\n\t }\n\t]\n};\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t 'Authorization': `Bearer ${api_key}`,\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify(body)\n};\n\ntry {\n\tconst response = await fetch(url, options);\n\tconst text = await response.text();\n\treturn text;\n} catch (error) {\n\tconsole.error(error);\n\treturn '';\n}"
}
packages/server/nodemon.json
+1 -1
View File
@@ -1,6 +1,6 @@
{
"ignore": ["**/*.spec.ts", ".git", "node_modules"],
"watch": ["commands", "index.ts", "src"],
"watch": ["commands", "index.ts", "src", "../components/nodes", "../components/src"],
"exec": "yarn oclif-dev",
"ext": "ts"
}
packages/server/package.json
+9 -4
View File
@@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.2.6",
"version": "1.3.3",
"description": "Flowiseai Server",
"main": "dist/index",
"types": "dist/index.d.ts",
@@ -13,8 +13,7 @@
"dist",
"npm-shrinkwrap.json",
"oclif.manifest.json",
"oauth2.html",
".env"
"oauth2.html"
],
"oclif": {
"bin": "flowise",
@@ -49,6 +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",
@@ -56,12 +56,17 @@
"flowise-ui": "*",
"moment-timezone": "^0.5.34",
"multer": "^1.4.5-lts.1",
"mysql": "^2.18.1",
"pg": "^8.11.1",
"reflect-metadata": "^0.1.13",
"socket.io": "^4.6.1",
"sqlite3": "^5.1.6",
"typeorm": "^0.3.6"
"typeorm": "^0.3.6",
"winston": "^3.9.0"
},
"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/ChatflowPool.ts
+4
View File
@@ -1,5 +1,6 @@
import { ICommonObject } from 'flowise-components'
import { IActiveChatflows, INodeData, IReactFlowNode } from './Interface'
import logger from './utils/logger'
/**
* This pool is to keep track of active chatflow pools
@@ -22,6 +23,7 @@ export class ChatflowPool {
inSync: true
}
if (overrideConfig) this.activeChatflows[chatflowid].overrideConfig = overrideConfig
logger.info(`[server]: Chatflow ${chatflowid} added into ChatflowPool`)
}
/**
@@ -32,6 +34,7 @@ export class ChatflowPool {
updateInSync(chatflowid: string, inSync: boolean) {
if (Object.prototype.hasOwnProperty.call(this.activeChatflows, chatflowid)) {
this.activeChatflows[chatflowid].inSync = inSync
logger.info(`[server]: Chatflow ${chatflowid} updated inSync=${inSync} in ChatflowPool`)
}
}
@@ -42,6 +45,7 @@ export class ChatflowPool {
async remove(chatflowid: string) {
if (Object.prototype.hasOwnProperty.call(this.activeChatflows, chatflowid)) {
delete this.activeChatflows[chatflowid]
logger.info(`[server]: Chatflow ${chatflowid} removed from ChatflowPool`)
}
}
}
packages/server/src/ChildProcess.ts
-148
View File
@@ -1,148 +0,0 @@
import { IChildProcessMessage, IReactFlowNode, IReactFlowObject, IRunChatflowMessageValue, INodeData } from './Interface'
import { buildLangchain, constructGraphs, getEndingNode, getStartingNodes, resolveVariables } from './utils'
export class ChildProcess {
/**
* Stop child process when app is killed
*/
static async stopChildProcess() {
setTimeout(() => {
process.exit(0)
}, 50000)
}
/**
* Process prediction
* @param {IRunChatflowMessageValue} messageValue
* @return {Promise<void>}
*/
async runChildProcess(messageValue: IRunChatflowMessageValue): Promise<void> {
process.on('SIGTERM', ChildProcess.stopChildProcess)
process.on('SIGINT', ChildProcess.stopChildProcess)
await sendToParentProcess('start', '_')
// Create a Queue and add our initial node in it
const { endingNodeData, chatflow, incomingInput, componentNodes } = messageValue
let nodeToExecuteData: INodeData
let addToChatFlowPool: any = {}
/* Don't rebuild the flow (to avoid duplicated upsert, recomputation) when all these conditions met:
* - Node Data already exists in pool
* - Still in sync (i.e the flow has not been modified since)
* - Existing overrideConfig and new overrideConfig are the same
* - Flow doesn't start with nodes that depend on incomingInput.question
***/
if (endingNodeData) {
nodeToExecuteData = endingNodeData
} else {
/*** Get chatflows and prepare data ***/
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const directedGraph = graph
const endingNodeId = getEndingNode(nodeDependencies, directedGraph)
if (!endingNodeId) {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
await sendToParentProcess(
'error',
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
)
return
}
/*** Get Starting Nodes with Non-Directed Graph ***/
const constructedObj = constructGraphs(nodes, edges, true)
const nonDirectedGraph = constructedObj.graph
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
/*** BFS to traverse from Starting Nodes to Ending Node ***/
const reactFlowNodes = await buildLangchain(
startingNodeIds,
nodes,
graph,
depthQueue,
componentNodes,
incomingInput.question,
incomingInput?.overrideConfig
)
const nodeToExecute = reactFlowNodes.find((node: IReactFlowNode) => node.id === endingNodeId)
if (!nodeToExecute) {
await sendToParentProcess('error', `Node ${endingNodeId} not found`)
return
}
const reactFlowNodeData: INodeData = resolveVariables(nodeToExecute.data, reactFlowNodes, incomingInput.question)
nodeToExecuteData = reactFlowNodeData
const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.id))
addToChatFlowPool = {
chatflowid: chatflow.id,
nodeToExecuteData,
startingNodes,
overrideConfig: incomingInput?.overrideConfig
}
}
const nodeInstanceFilePath = componentNodes[nodeToExecuteData.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const nodeInstance = new nodeModule.nodeClass()
const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history })
await sendToParentProcess('finish', { result, addToChatFlowPool })
}
}
/**
* Send data back to parent process
* @param {string} key Key of message
* @param {*} value Value of message
* @returns {Promise<void>}
*/
async function sendToParentProcess(key: string, value: any): Promise<void> {
// tslint:disable-line:no-any
return new Promise((resolve, reject) => {
process.send!(
{
key,
value
},
(error: Error) => {
if (error) {
return reject(error)
}
resolve()
}
)
})
}
const childProcess = new ChildProcess()
process.on('message', async (message: IChildProcessMessage) => {
if (message.key === 'start') {
await childProcess.runChildProcess(message.value)
process.exit()
}
})
packages/server/src/DataSource.ts
+53 -9
View File
@@ -3,20 +3,64 @@ 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'
let appDataSource: DataSource
export const init = async (): Promise<void> => {
const homePath = path.join(getUserHome(), '.flowise')
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize: true,
entities: [ChatFlow, ChatMessage],
migrations: []
})
let homePath
const synchronize = process.env.OVERRIDE_DATABASE === 'false' ? false : true
switch (process.env.DATABASE_TYPE) {
case 'sqlite':
homePath = process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise')
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize,
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
case 'mysql':
appDataSource = new DataSource({
type: 'mysql',
host: process.env.DATABASE_HOST,
port: parseInt(process.env.DATABASE_PORT || '3306'),
username: process.env.DATABASE_USER,
password: process.env.DATABASE_PASSWORD,
database: process.env.DATABASE_NAME,
charset: 'utf8mb4',
synchronize,
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
case 'postgres':
appDataSource = new DataSource({
type: 'postgres',
host: process.env.DATABASE_HOST,
port: parseInt(process.env.DATABASE_PORT || '5432'),
username: process.env.DATABASE_USER,
password: process.env.DATABASE_PASSWORD,
database: process.env.DATABASE_NAME,
synchronize,
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
default:
homePath = process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise')
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize,
entities: [ChatFlow, ChatMessage, Tool, Credential],
migrations: []
})
break
}
}
export function getDataSource(): DataSource {
packages/server/src/Interface.ts
+42 -10
View File
@@ -9,10 +9,12 @@ export interface IChatFlow {
id: string
name: string
flowData: string
apikeyid: string
deployed: boolean
updatedDate: Date
createdDate: Date
deployed?: boolean
isPublic?: boolean
apikeyid?: string
chatbotConfig?: string
}
export interface IChatMessage {
@@ -21,12 +23,38 @@ export interface IChatMessage {
content: string
chatflowid: string
createdDate: Date
sourceDocuments?: string
}
export interface ITool {
id: string
name: string
description: string
color: string
iconSrc?: string
schema?: string
func?: string
updatedDate: Date
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
}
@@ -115,6 +143,7 @@ export interface IncomingInput {
question: string
history: IMessage[]
overrideConfig?: ICommonObject
socketIOClientId?: string
}
export interface IActiveChatflows {
@@ -128,6 +157,7 @@ export interface IActiveChatflows {
export interface IOverrideConfig {
node: string
nodeId: string
label: string
name: string
type: string
@@ -139,14 +169,16 @@ export interface IDatabaseExport {
apikeys: ICommonObject[]
}
export interface IRunChatflowMessageValue {
chatflow: IChatFlow
incomingInput: IncomingInput
componentNodes: IComponentNodes
endingNodeData?: INodeData
export type ICredentialDataDecrypted = ICommonObject
// Plain credential object sent to server
export interface ICredentialReqBody {
name: string
credentialName: string
plainDataObj: ICredentialDataDecrypted
}
export interface IChildProcessMessage {
key: string
value?: any
// Decrypted credential object sent back to client
export interface ICredentialReturnResponse extends ICredential {
plainDataObj: ICredentialDataDecrypted
}
packages/server/src/NodesPool.ts
+44 -7
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)
@@ -19,7 +29,8 @@ export class NodesPool {
nodeFiles.map(async (file) => {
if (file.endsWith('.js')) {
const nodeModule = await require(file)
try {
if (nodeModule.nodeClass) {
const newNodeInstance = new nodeModule.nodeClass()
newNodeInstance.filePath = file
@@ -36,9 +47,35 @@ 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
}
}
}
} catch (e) {
// console.error(e);
}
}
})
)
}
/**
* 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
}
}
})
@@ -50,7 +87,7 @@ export class NodesPool {
* @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
+72 -8
View File
@@ -1,10 +1,11 @@
import { Command } from '@oclif/core'
import { Command, Flags } from '@oclif/core'
import path from 'path'
import * as Server from '../index'
import * as DataSource from '../DataSource'
import dotenv from 'dotenv'
import logger from '../utils/logger'
dotenv.config({ path: path.join(__dirname, '..', '..', '.env') })
dotenv.config({ path: path.join(__dirname, '..', '..', '.env'), override: true })
enum EXIT_CODE {
SUCCESS = 0,
@@ -14,13 +15,38 @@ let processExitCode = EXIT_CODE.SUCCESS
export default class Start extends Command {
static args = []
static flags = {
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(),
TOOL_FUNCTION_BUILTIN_DEP: Flags.string(),
TOOL_FUNCTION_EXTERNAL_DEP: Flags.string(),
OVERRIDE_DATABASE: Flags.string(),
DATABASE_TYPE: Flags.string(),
DATABASE_PATH: Flags.string(),
DATABASE_PORT: Flags.string(),
DATABASE_HOST: Flags.string(),
DATABASE_NAME: Flags.string(),
DATABASE_USER: Flags.string(),
DATABASE_PASSWORD: Flags.string(),
LANGCHAIN_TRACING_V2: Flags.string(),
LANGCHAIN_ENDPOINT: Flags.string(),
LANGCHAIN_API_KEY: Flags.string(),
LANGCHAIN_PROJECT: Flags.string()
}
async stopProcess() {
console.info('Shutting down Flowise...')
logger.info('Shutting down Flowise...')
try {
// Shut down the app after timeout if it ever stuck removing pools
setTimeout(() => {
console.info('Flowise was forced to shut down after 30 secs')
logger.info('Flowise was forced to shut down after 30 secs')
process.exit(processExitCode)
}, 30000)
@@ -28,7 +54,7 @@ export default class Start extends Command {
const serverApp = Server.getInstance()
if (serverApp) await serverApp.stopApp()
} catch (error) {
console.error('There was an error shutting down Flowise...', error)
logger.error('There was an error shutting down Flowise...', error)
}
process.exit(processExitCode)
}
@@ -40,16 +66,54 @@ export default class Start extends Command {
// Prevent throw new Error from crashing the app
// TODO: Get rid of this and send proper error message to ui
process.on('uncaughtException', (err) => {
console.error('uncaughtException: ', err)
logger.error('uncaughtException: ', err)
})
const { flags } = await this.parse(Start)
if (flags.PORT) process.env.PORT = flags.PORT
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
// Database config
if (flags.OVERRIDE_DATABASE) process.env.OVERRIDE_DATABASE = flags.OVERRIDE_DATABASE
if (flags.DATABASE_TYPE) process.env.DATABASE_TYPE = flags.DATABASE_TYPE
if (flags.DATABASE_PATH) process.env.DATABASE_PATH = flags.DATABASE_PATH
if (flags.DATABASE_PORT) process.env.DATABASE_PORT = flags.DATABASE_PORT
if (flags.DATABASE_HOST) process.env.DATABASE_HOST = flags.DATABASE_HOST
if (flags.DATABASE_NAME) process.env.DATABASE_NAME = flags.DATABASE_NAME
if (flags.DATABASE_USER) process.env.DATABASE_USER = flags.DATABASE_USER
if (flags.DATABASE_PASSWORD) process.env.DATABASE_PASSWORD = flags.DATABASE_PASSWORD
// Langsmith tracing
if (flags.LANGCHAIN_TRACING_V2) process.env.LANGCHAIN_TRACING_V2 = flags.LANGCHAIN_TRACING_V2
if (flags.LANGCHAIN_ENDPOINT) process.env.LANGCHAIN_ENDPOINT = flags.LANGCHAIN_ENDPOINT
if (flags.LANGCHAIN_API_KEY) process.env.LANGCHAIN_API_KEY = flags.LANGCHAIN_API_KEY
if (flags.LANGCHAIN_PROJECT) process.env.LANGCHAIN_PROJECT = flags.LANGCHAIN_PROJECT
await (async () => {
try {
this.log('Starting Flowise...')
logger.info('Starting Flowise...')
await DataSource.init()
await Server.start()
} catch (error) {
console.error('There was an error starting Flowise...', error)
logger.error('There was an error starting Flowise...', error)
processExitCode = EXIT_CODE.FAILED
// @ts-ignore
process.emit('SIGINT')
packages/server/src/entity/ChatFlow.ts
+10 -4
View File
@@ -10,14 +10,20 @@ export class ChatFlow implements IChatFlow {
@Column()
name: string
@Column()
@Column({ type: 'text' })
flowData: string
@Column({ nullable: true })
apikeyid: string
deployed?: boolean
@Column()
deployed: boolean
@Column({ nullable: true })
isPublic?: boolean
@Column({ nullable: true })
apikeyid?: string
@Column({ nullable: true })
chatbotConfig?: string
@CreateDateColumn()
createdDate: Date
packages/server/src/entity/ChatMessage.ts
+4 -1
View File
@@ -14,9 +14,12 @@ export class ChatMessage implements IChatMessage {
@Column()
chatflowid: string
@Column()
@Column({ type: 'text' })
content: string
@Column({ nullable: true })
sourceDocuments?: string
@CreateDateColumn()
createdDate: Date
}
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
+33
View File
@@ -0,0 +1,33 @@
/* eslint-disable */
import { Entity, Column, CreateDateColumn, UpdateDateColumn, PrimaryGeneratedColumn } from 'typeorm'
import { ITool } from '../Interface'
@Entity()
export class Tool implements ITool {
@PrimaryGeneratedColumn('uuid')
id: string
@Column()
name: string
@Column({ type: 'text' })
description: string
@Column()
color: string
@Column({ nullable: true })
iconSrc?: string
@Column({ nullable: true })
schema?: string
@Column({ nullable: true })
func?: string
@CreateDateColumn()
createdDate: Date
@UpdateDateColumn()
updatedDate: Date
}
packages/server/src/index.ts
+519 -167
View File
@@ -5,6 +5,9 @@ import cors from 'cors'
import http from 'http'
import * as fs from 'fs'
import basicAuth from 'express-basic-auth'
import { Server } from 'socket.io'
import logger from './utils/logger'
import { expressRequestLogger } from './utils/logger'
import {
IChatFlow,
@@ -13,8 +16,7 @@ import {
IReactFlowObject,
INodeData,
IDatabaseExport,
IRunChatflowMessageValue,
IChildProcessMessage
ICredentialReturnResponse
} from './Interface'
import {
getNodeModulesPackagePath,
@@ -32,16 +34,27 @@ import {
mapMimeTypeToInputField,
findAvailableConfigs,
isSameOverrideConfig,
replaceAllAPIKeys
replaceAllAPIKeys,
isFlowValidForStream,
isVectorStoreFaiss,
databaseEntities,
getApiKey,
transformToCredentialEntity,
decryptCredentialData,
clearSessionMemory,
replaceInputsWithConfig,
getEncryptionKey,
checkMemorySessionId
} 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 } from 'flowise-components'
import { fork } from 'child_process'
import { ICommonObject, INodeOptionsValue } from 'flowise-components'
export class App {
app: express.Application
@@ -57,23 +70,27 @@ export class App {
// Initialize database
this.AppDataSource.initialize()
.then(async () => {
console.info('📦[server]: Data Source has been initialized!')
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
await getAPIKeys()
// Initialize encryption key
await getEncryptionKey()
})
.catch((err) => {
console.error('❌[server]: Error during Data Source initialization:', err)
logger.error('❌ [server]: Error during Data Source initialization:', err)
})
}
async config() {
async config(socketIO?: Server) {
// Limit is needed to allow sending/receiving base64 encoded string
this.app.use(express.json({ limit: '50mb' }))
this.app.use(express.urlencoded({ limit: '50mb', extended: true }))
@@ -81,13 +98,24 @@ export class App {
// Allow access from *
this.app.use(cors())
if (process.env.USERNAME && process.env.PASSWORD) {
const username = process.env.USERNAME.toLocaleLowerCase()
const password = process.env.PASSWORD.toLocaleLowerCase()
// Add the expressRequestLogger middleware to log all requests
this.app.use(expressRequestLogger)
if (process.env.FLOWISE_USERNAME && process.env.FLOWISE_PASSWORD) {
const username = process.env.FLOWISE_USERNAME
const password = process.env.FLOWISE_PASSWORD
const basicAuthMiddleware = basicAuth({
users: { [username]: password }
})
const whitelistURLs = ['/api/v1/prediction/', '/api/v1/node-icon/']
const whitelistURLs = [
'/api/v1/verify/apikey/',
'/api/v1/chatflows/apikey/',
'/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) => {
if (req.url.includes('/api/v1/')) {
whitelistURLs.some((url) => req.url.includes(url)) ? next() : basicAuthMiddleware(req, res, next)
@@ -98,7 +126,7 @@ export class App {
const upload = multer({ dest: `${path.join(__dirname, '..', 'uploads')}/` })
// ----------------------------------------
// Nodes
// Components
// ----------------------------------------
// Get all component nodes
@@ -111,6 +139,16 @@ 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)) {
@@ -120,6 +158,27 @@ 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)) {
@@ -139,6 +198,48 @@ 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
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentNodes, req.params.name)) {
try {
const nodeInstance = this.nodesPool.componentNodes[req.params.name]
const methodName = nodeData.loadMethod || ''
const returnOptions: INodeOptionsValue[] = await nodeInstance.loadMethods![methodName]!.call(nodeInstance, nodeData, {
appDataSource: this.AppDataSource,
databaseEntities: databaseEntities
})
return res.json(returnOptions)
} catch (error) {
return res.json([])
}
} else {
res.status(404).send(`Node ${req.params.name} not found`)
return
}
})
// ----------------------------------------
// Chatflows
// ----------------------------------------
@@ -149,6 +250,25 @@ export class App {
return res.json(chatflows)
})
// Get specific chatflow via api key
this.app.get('/api/v1/chatflows/apikey/:apiKey', async (req: Request, res: Response) => {
try {
const apiKey = await getApiKey(req.params.apiKey)
if (!apiKey) return res.status(401).send('Unauthorized')
const chatflows = await this.AppDataSource.getRepository(ChatFlow)
.createQueryBuilder('cf')
.where('cf.apikeyid = :apikeyid', { apikeyid: apiKey.id })
.orWhere('cf.apikeyid IS NULL')
.orWhere('cf.apikeyid = ""')
.orderBy('cf.name', 'ASC')
.getMany()
if (chatflows.length >= 1) return res.status(200).send(chatflows)
return res.status(404).send('Chatflow not found')
} catch (err: any) {
return res.status(500).send(err?.message)
}
})
// Get specific chatflow via id
this.app.get('/api/v1/chatflows/:id', async (req: Request, res: Response) => {
const chatflow = await this.AppDataSource.getRepository(ChatFlow).findOneBy({
@@ -158,6 +278,16 @@ export class App {
return res.status(404).send(`Chatflow ${req.params.id} not found`)
})
// Get specific chatflow via id (PUBLIC endpoint, used when sharing chatbot link)
this.app.get('/api/v1/public-chatflows/:id', async (req: Request, res: Response) => {
const chatflow = await this.AppDataSource.getRepository(ChatFlow).findOneBy({
id: req.params.id
})
if (chatflow && chatflow.isPublic) return res.json(chatflow)
else if (chatflow && !chatflow.isPublic) return res.status(401).send(`Unauthorized`)
return res.status(404).send(`Chatflow ${req.params.id} not found`)
})
// Save chatflow
this.app.post('/api/v1/chatflows', async (req: Request, res: Response) => {
const body = req.body
@@ -200,14 +330,49 @@ export class App {
return res.json(results)
})
// Check if chatflow valid for streaming
this.app.get('/api/v1/chatflows-streaming/:id', async (req: Request, res: Response) => {
const chatflow = await this.AppDataSource.getRepository(ChatFlow).findOneBy({
id: req.params.id
})
if (!chatflow) return res.status(404).send(`Chatflow ${req.params.id} not found`)
/*** Get Ending Node with Directed Graph ***/
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const endingNodeId = getEndingNode(nodeDependencies, graph)
if (!endingNodeId) return res.status(500).send(`Ending node ${endingNodeId} not found`)
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNodeId} data not found`)
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
const obj = {
isStreaming: isFlowValidForStream(nodes, endingNodeData)
}
return res.json(obj)
})
// ----------------------------------------
// ChatMessage
// ----------------------------------------
// Get all chatmessages from chatflowid
this.app.get('/api/v1/chatmessage/:id', async (req: Request, res: Response) => {
const chatmessages = await this.AppDataSource.getRepository(ChatMessage).findBy({
chatflowid: req.params.id
const chatmessages = await this.AppDataSource.getRepository(ChatMessage).find({
where: {
chatflowid: req.params.id
},
order: {
createdDate: 'ASC'
}
})
return res.json(chatmessages)
})
@@ -226,10 +391,165 @@ export class App {
// Delete all chatmessages from chatflowid
this.app.delete('/api/v1/chatmessage/:id', async (req: Request, res: Response) => {
const chatflow = await this.AppDataSource.getRepository(ChatFlow).findOneBy({
id: req.params.id
})
if (!chatflow) {
res.status(404).send(`Chatflow ${req.params.id} not found`)
return
}
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
let chatId = await getChatId(chatflow.id)
if (!chatId) chatId = chatflow.id
clearSessionMemory(nodes, this.nodesPool.componentNodes, chatId, this.AppDataSource, req.query.sessionId as string)
const results = await this.AppDataSource.getRepository(ChatMessage).delete({ chatflowid: req.params.id })
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
// ----------------------------------------
// Get all tools
this.app.get('/api/v1/tools', async (req: Request, res: Response) => {
const tools = await this.AppDataSource.getRepository(Tool).find()
return res.json(tools)
})
// Get specific tool
this.app.get('/api/v1/tools/:id', async (req: Request, res: Response) => {
const tool = await this.AppDataSource.getRepository(Tool).findOneBy({
id: req.params.id
})
return res.json(tool)
})
// Add tool
this.app.post('/api/v1/tools', async (req: Request, res: Response) => {
const body = req.body
const newTool = new Tool()
Object.assign(newTool, body)
const tool = this.AppDataSource.getRepository(Tool).create(newTool)
const results = await this.AppDataSource.getRepository(Tool).save(tool)
return res.json(results)
})
// Update tool
this.app.put('/api/v1/tools/:id', async (req: Request, res: Response) => {
const tool = await this.AppDataSource.getRepository(Tool).findOneBy({
id: req.params.id
})
if (!tool) {
res.status(404).send(`Tool ${req.params.id} not found`)
return
}
const body = req.body
const updateTool = new Tool()
Object.assign(updateTool, body)
this.AppDataSource.getRepository(Tool).merge(tool, updateTool)
const result = await this.AppDataSource.getRepository(Tool).save(tool)
return res.json(result)
})
// Delete tool
this.app.delete('/api/v1/tools/:id', async (req: Request, res: Response) => {
const results = await this.AppDataSource.getRepository(Tool).delete({ id: req.params.id })
return res.json(results)
})
// ----------------------------------------
// Configuration
// ----------------------------------------
@@ -242,7 +562,13 @@ 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)
})
@@ -303,12 +629,12 @@ export class App {
// Send input message and get prediction result (External)
this.app.post('/api/v1/prediction/:id', upload.array('files'), async (req: Request, res: Response) => {
await this.processPrediction(req, res)
await this.processPrediction(req, res, socketIO)
})
// Send input message and get prediction result (Internal)
this.app.post('/api/v1/internal-prediction/:id', async (req: Request, res: Response) => {
await this.processPrediction(req, res, true)
await this.processPrediction(req, res, socketIO, true)
})
// ----------------------------------------
@@ -316,12 +642,12 @@ export class App {
// ----------------------------------------
// Get all chatflows for marketplaces
this.app.get('/api/v1/marketplaces', async (req: Request, res: Response) => {
const marketplaceDir = path.join(__dirname, '..', 'marketplaces')
this.app.get('/api/v1/marketplaces/chatflows', async (req: Request, res: Response) => {
const marketplaceDir = path.join(__dirname, '..', 'marketplaces', 'chatflows')
const jsonsInDir = fs.readdirSync(marketplaceDir).filter((file) => path.extname(file) === '.json')
const templates: any[] = []
jsonsInDir.forEach((file, index) => {
const filePath = path.join(__dirname, '..', 'marketplaces', file)
const filePath = path.join(__dirname, '..', 'marketplaces', 'chatflows', file)
const fileData = fs.readFileSync(filePath)
const fileDataObj = JSON.parse(fileData.toString())
const template = {
@@ -332,6 +658,31 @@ export class App {
}
templates.push(template)
})
const FlowiseDocsQnA = templates.find((tmp) => tmp.name === 'Flowise Docs QnA')
const FlowiseDocsQnAIndex = templates.findIndex((tmp) => tmp.name === 'Flowise Docs QnA')
if (FlowiseDocsQnA && FlowiseDocsQnAIndex > 0) {
templates.splice(FlowiseDocsQnAIndex, 1)
templates.unshift(FlowiseDocsQnA)
}
return res.json(templates)
})
// Get all tools for marketplaces
this.app.get('/api/v1/marketplaces/tools', async (req: Request, res: Response) => {
const marketplaceDir = path.join(__dirname, '..', 'marketplaces', 'tools')
const jsonsInDir = fs.readdirSync(marketplaceDir).filter((file) => path.extname(file) === '.json')
const templates: any[] = []
jsonsInDir.forEach((file, index) => {
const filePath = path.join(__dirname, '..', 'marketplaces', 'tools', file)
const fileData = fs.readFileSync(filePath)
const fileDataObj = JSON.parse(fileData.toString())
const template = {
...fileDataObj,
id: index,
templateName: file.split('.json')[0]
}
templates.push(template)
})
return res.json(templates)
})
@@ -363,6 +714,17 @@ export class App {
return res.json(keys)
})
// Verify api key
this.app.get('/api/v1/verify/apikey/:apiKey', async (req: Request, res: Response) => {
try {
const apiKey = await getApiKey(req.params.apiKey)
if (!apiKey) return res.status(401).send('Unauthorized')
return res.status(200).send('OK')
} catch (err: any) {
return res.status(500).send(err?.message)
}
})
// ----------------------------------------
// Serve UI static
// ----------------------------------------
@@ -399,74 +761,14 @@ export class App {
}
}
/**
* Start child process
* @param {ChatFlow} chatflow
* @param {IncomingInput} incomingInput
* @param {INodeData} endingNodeData
*/
async startChildProcess(chatflow: ChatFlow, incomingInput: IncomingInput, endingNodeData?: INodeData) {
try {
const controller = new AbortController()
const { signal } = controller
let childpath = path.join(__dirname, '..', 'dist', 'ChildProcess.js')
if (!fs.existsSync(childpath)) childpath = 'ChildProcess.ts'
const childProcess = fork(childpath, [], { signal })
const value = {
chatflow,
incomingInput,
componentNodes: cloneDeep(this.nodesPool.componentNodes),
endingNodeData
} as IRunChatflowMessageValue
childProcess.send({ key: 'start', value } as IChildProcessMessage)
let childProcessTimeout: NodeJS.Timeout
return new Promise((resolve, reject) => {
childProcess.on('message', async (message: IChildProcessMessage) => {
if (message.key === 'finish') {
const { result, addToChatFlowPool } = message.value as ICommonObject
if (childProcessTimeout) {
clearTimeout(childProcessTimeout)
}
if (Object.keys(addToChatFlowPool).length) {
const { chatflowid, nodeToExecuteData, startingNodes, overrideConfig } = addToChatFlowPool
this.chatflowPool.add(chatflowid, nodeToExecuteData, startingNodes, overrideConfig)
}
resolve(result)
}
if (message.key === 'start') {
if (process.env.EXECUTION_TIMEOUT) {
childProcessTimeout = setTimeout(async () => {
childProcess.kill()
resolve(undefined)
}, parseInt(process.env.EXECUTION_TIMEOUT, 10))
}
}
if (message.key === 'error') {
let errMessage = message.value as string
if (childProcessTimeout) {
clearTimeout(childProcessTimeout)
}
reject(errMessage)
}
})
})
} catch (err) {
console.error(err)
}
}
/**
* Process Prediction
* @param {Request} req
* @param {Response} res
* @param {Server} socketIO
* @param {boolean} isInternal
*/
async processPrediction(req: Request, res: Response, isInternal = false) {
async processPrediction(req: Request, res: Response, socketIO?: Server, isInternal = false) {
try {
const chatflowid = req.params.id
let incomingInput: IncomingInput = req.body
@@ -478,10 +780,15 @@ export class App {
})
if (!chatflow) return res.status(404).send(`Chatflow ${chatflowid} not found`)
let chatId = await getChatId(chatflow.id)
if (!chatId) chatId = chatflowid
if (!isInternal) {
await this.validateKey(req, res, chatflow)
}
let isStreamValid = false
const files = (req.files as any[]) || []
if (files.length) {
@@ -504,13 +811,19 @@ export class App {
}
}
/* Don't rebuild the flow (to avoid duplicated upsert, recomputation) when all these conditions met:
/*** Get chatflows and prepare data ***/
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
/* Reuse the flow without having to rebuild (to avoid duplicated upsert, recomputation) when all these conditions met:
* - Node Data already exists in pool
* - Still in sync (i.e the flow has not been modified since)
* - Existing overrideConfig and new overrideConfig are the same
* - Flow doesn't start with nodes that depend on incomingInput.question
* - Flow doesn't start with/contain nodes that depend on incomingInput.question
***/
const isRebuildNeeded = () => {
const isFlowReusable = () => {
return (
Object.prototype.hasOwnProperty.call(this.chatflowPool.activeChatflows, chatflowid) &&
this.chatflowPool.activeChatflows[chatflowid].inSync &&
@@ -519,94 +832,110 @@ export class App {
this.chatflowPool.activeChatflows[chatflowid].overrideConfig,
incomingInput.overrideConfig
) &&
!isStartNodeDependOnInput(this.chatflowPool.activeChatflows[chatflowid].startingNodes)
!isStartNodeDependOnInput(this.chatflowPool.activeChatflows[chatflowid].startingNodes, nodes)
)
}
if (process.env.EXECUTION_MODE === 'child') {
if (isRebuildNeeded()) {
nodeToExecuteData = this.chatflowPool.activeChatflows[chatflowid].endingNodeData
try {
const result = await this.startChildProcess(chatflow, incomingInput, nodeToExecuteData)
return res.json(result)
} catch (error) {
return res.status(500).send(error)
}
} else {
try {
const result = await this.startChildProcess(chatflow, incomingInput)
return res.json(result)
} catch (error) {
return res.status(500).send(error)
}
}
if (isFlowReusable()) {
nodeToExecuteData = this.chatflowPool.activeChatflows[chatflowid].endingNodeData
isStreamValid = isFlowValidForStream(nodes, nodeToExecuteData)
logger.debug(
`[server]: Reuse existing chatflow ${chatflowid} with ending node ${nodeToExecuteData.label} (${nodeToExecuteData.id})`
)
} else {
if (isRebuildNeeded()) {
nodeToExecuteData = this.chatflowPool.activeChatflows[chatflowid].endingNodeData
} else {
/*** Get chatflows and prepare data ***/
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const directedGraph = graph
const endingNodeId = getEndingNode(nodeDependencies, directedGraph)
if (!endingNodeId) return res.status(500).send(`Ending node ${endingNodeId} not found`)
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const directedGraph = graph
const endingNodeId = getEndingNode(nodeDependencies, directedGraph)
if (!endingNodeId) return res.status(500).send(`Ending node must be either a Chain or Agent`)
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNodeId} data not found`)
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) return res.status(500).send(`Ending node must be either a Chain or Agent`)
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
return res
.status(500)
.send(
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
)
}
/*** Get Starting Nodes with Non-Directed Graph ***/
const constructedObj = constructGraphs(nodes, edges, true)
const nonDirectedGraph = constructedObj.graph
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
/*** BFS to traverse from Starting Nodes to Ending Node ***/
const reactFlowNodes = await buildLangchain(
startingNodeIds,
nodes,
graph,
depthQueue,
this.nodesPool.componentNodes,
incomingInput.question,
incomingInput?.overrideConfig
)
const nodeToExecute = reactFlowNodes.find((node: IReactFlowNode) => node.id === endingNodeId)
if (!nodeToExecute) return res.status(404).send(`Node ${endingNodeId} not found`)
const reactFlowNodeData: INodeData = resolveVariables(nodeToExecute.data, reactFlowNodes, incomingInput.question)
nodeToExecuteData = reactFlowNodeData
const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.id))
this.chatflowPool.add(chatflowid, nodeToExecuteData, startingNodes, incomingInput?.overrideConfig)
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
const nodeInstanceFilePath = this.nodesPool.componentNodes[nodeToExecuteData.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const nodeInstance = new nodeModule.nodeClass()
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
return res
.status(500)
.send(
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
)
}
const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history })
isStreamValid = isFlowValidForStream(nodes, endingNodeData)
return res.json(result)
/*** Get Starting Nodes with Non-Directed Graph ***/
const constructedObj = constructGraphs(nodes, edges, true)
const nonDirectedGraph = constructedObj.graph
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
logger.debug(`[server]: Start building chatflow ${chatflowid}`)
/*** BFS to traverse from Starting Nodes to Ending Node ***/
const reactFlowNodes = await buildLangchain(
startingNodeIds,
nodes,
graph,
depthQueue,
this.nodesPool.componentNodes,
incomingInput.question,
incomingInput.history,
chatId,
this.AppDataSource,
incomingInput?.overrideConfig
)
const nodeToExecute = reactFlowNodes.find((node: IReactFlowNode) => node.id === endingNodeId)
if (!nodeToExecute) return res.status(404).send(`Node ${endingNodeId} not found`)
if (incomingInput.overrideConfig)
nodeToExecute.data = replaceInputsWithConfig(nodeToExecute.data, incomingInput.overrideConfig)
const reactFlowNodeData: INodeData = resolveVariables(
nodeToExecute.data,
reactFlowNodes,
incomingInput.question,
incomingInput.history
)
nodeToExecuteData = reactFlowNodeData
const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.id))
this.chatflowPool.add(chatflowid, nodeToExecuteData, startingNodes, incomingInput?.overrideConfig)
}
const nodeInstanceFilePath = this.nodesPool.componentNodes[nodeToExecuteData.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const nodeInstance = new nodeModule.nodeClass()
isStreamValid = isStreamValid && !isVectorStoreFaiss(nodeToExecuteData)
logger.debug(`[server]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
if (nodeToExecuteData.instance) checkMemorySessionId(nodeToExecuteData.instance, chatId)
const result = isStreamValid
? await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
socketIO,
socketIOClientId: incomingInput.socketIOClientId,
logger,
appDataSource: this.AppDataSource,
databaseEntities
})
: await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
logger,
appDataSource: this.AppDataSource,
databaseEntities
})
logger.debug(`[server]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
return res.json(result)
} catch (e: any) {
logger.error('[server]: Error:', e)
return res.status(500).send(e.message)
}
}
@@ -616,11 +945,28 @@ export class App {
const removePromises: any[] = []
await Promise.all(removePromises)
} catch (e) {
console.error(`❌[server]: Flowise Server shut down error: ${e}`)
logger.error(`❌[server]: Flowise Server shut down error: ${e}`)
}
}
}
/**
* Get first chat message id
* @param {string} chatflowid
* @returns {string}
*/
export async function getChatId(chatflowid: string) {
// first chatmessage id as the unique chat id
const firstChatMessage = await getDataSource()
.getRepository(ChatMessage)
.createQueryBuilder('cm')
.select('cm.id')
.where('chatflowid = :chatflowid', { chatflowid })
.orderBy('cm.createdDate', 'ASC')
.getOne()
return firstChatMessage ? firstChatMessage.id : ''
}
let serverApp: App | undefined
export async function start(): Promise<void> {
@@ -629,11 +975,17 @@ export async function start(): Promise<void> {
const port = parseInt(process.env.PORT || '', 10) || 3000
const server = http.createServer(serverApp.app)
const io = new Server(server, {
cors: {
origin: '*'
}
})
await serverApp.initDatabase()
await serverApp.config()
await serverApp.config(io)
server.listen(port, () => {
console.info(`⚡️[server]: Flowise Server is listening at ${port}`)
logger.info(`⚡️ [server]: Flowise Server is listening at ${port}`)
})
}
packages/server/src/utils/config.ts
+25
View File
@@ -0,0 +1,25 @@
// BEWARE: This file is an intereem solution until we have a proper config strategy
import path from 'path'
import dotenv from 'dotenv'
dotenv.config({ path: path.join(__dirname, '..', '..', '.env'), override: true })
// default config
const loggingConfig = {
dir: process.env.LOG_PATH ?? path.join(__dirname, '..', '..', 'logs'),
server: {
level: process.env.LOG_LEVEL ?? 'info',
filename: 'server.log',
errorFilename: 'server-error.log'
},
express: {
level: process.env.LOG_LEVEL ?? 'info',
format: 'jsonl', // can't be changed currently
filename: 'server-requests.log.jsonl' // should end with .jsonl
}
}
export default {
logging: loggingConfig
}
packages/server/src/utils/index.ts
+365 -27
View File
@@ -1,6 +1,7 @@
import path from 'path'
import fs from 'fs'
import moment from 'moment'
import logger from './logger'
import {
IComponentNodes,
IDepthQueue,
@@ -12,13 +13,34 @@ import {
IReactFlowNode,
IVariableDict,
INodeData,
IOverrideConfig
IOverrideConfig,
ICredentialDataDecrypted,
IComponentCredentials,
ICredentialReqBody
} from '../Interface'
import { cloneDeep, get } from 'lodash'
import { ICommonObject, getInputVariables } from 'flowise-components'
import { cloneDeep, get, omit, merge, isEqual } from 'lodash'
import {
ICommonObject,
getInputVariables,
IDatabaseEntity,
handleEscapeCharacters,
IMessage,
convertChatHistoryToText
} 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'
const CHAT_HISTORY_VAR_PREFIX = 'chat_history'
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
@@ -168,12 +190,15 @@ export const getEndingNode = (nodeDependencies: INodeDependencies, graph: INodeD
/**
* Build langchain from start to end
* @param {string} startingNodeId
* @param {string[]} startingNodeIds
* @param {IReactFlowNode[]} reactFlowNodes
* @param {INodeDirectedGraph} graph
* @param {IDepthQueue} depthQueue
* @param {IComponentNodes} componentNodes
* @param {string} question
* @param {string} chatId
* @param {DataSource} appDataSource
* @param {ICommonObject} overrideConfig
*/
export const buildLangchain = async (
startingNodeIds: string[],
@@ -182,6 +207,9 @@ export const buildLangchain = async (
depthQueue: IDepthQueue,
componentNodes: IComponentNodes,
question: string,
chatHistory: IMessage[],
chatId: string,
appDataSource: DataSource,
overrideConfig?: ICommonObject
) => {
const flowNodes = cloneDeep(reactFlowNodes)
@@ -212,11 +240,18 @@ export const buildLangchain = async (
let flowNodeData = cloneDeep(reactFlowNode.data)
if (overrideConfig) flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig)
const reactFlowNodeData: INodeData = resolveVariables(flowNodeData, flowNodes, question)
const reactFlowNodeData: INodeData = resolveVariables(flowNodeData, flowNodes, question, chatHistory)
flowNodes[nodeIndex].data.instance = await newNodeInstance.init(reactFlowNodeData, question)
logger.debug(`[server]: Initializing ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
flowNodes[nodeIndex].data.instance = await newNodeInstance.init(reactFlowNodeData, question, {
chatId,
appDataSource,
databaseEntities,
logger
})
logger.debug(`[server]: Finished initializing ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
} catch (e: any) {
console.error(e)
logger.error(e)
throw new Error(e)
}
@@ -255,6 +290,32 @@ export const buildLangchain = async (
return flowNodes
}
/**
* Clear memory
* @param {IReactFlowNode[]} reactFlowNodes
* @param {IComponentNodes} componentNodes
* @param {string} chatId
* @param {DataSource} appDataSource
* @param {string} sessionId
*/
export const clearSessionMemory = async (
reactFlowNodes: IReactFlowNode[],
componentNodes: IComponentNodes,
chatId: string,
appDataSource: DataSource,
sessionId?: string
) => {
for (const node of reactFlowNodes) {
if (node.data.category !== 'Memory') continue
const nodeInstanceFilePath = componentNodes[node.data.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const newNodeInstance = new nodeModule.nodeClass()
if (sessionId && node.data.inputs) node.data.inputs.sessionId = sessionId
if (newNodeInstance.clearSessionMemory)
await newNodeInstance?.clearSessionMemory(node.data, { chatId, appDataSource, databaseEntities, logger })
}
}
/**
* Get variable value from outputResponses.output
* @param {string} paramValue
@@ -263,7 +324,13 @@ export const buildLangchain = async (
* @param {boolean} isAcceptVariable
* @returns {string}
*/
export const getVariableValue = (paramValue: string, reactFlowNodes: IReactFlowNode[], question: string, isAcceptVariable = false) => {
export const getVariableValue = (
paramValue: string,
reactFlowNodes: IReactFlowNode[],
question: string,
chatHistory: IMessage[],
isAcceptVariable = false
) => {
let returnVal = paramValue
const variableStack = []
const variableDict = {} as IVariableDict
@@ -284,8 +351,17 @@ export const getVariableValue = (paramValue: string, reactFlowNodes: IReactFlowN
const variableEndIdx = startIdx
const variableFullPath = returnVal.substring(variableStartIdx, variableEndIdx)
/**
* Apply string transformation to convert special chars:
* FROM: hello i am ben\n\n\thow are you?
* TO: hello i am benFLOWISE_NEWLINEFLOWISE_NEWLINEFLOWISE_TABhow are you?
*/
if (isAcceptVariable && variableFullPath === QUESTION_VAR_PREFIX) {
variableDict[`{{${variableFullPath}}}`] = question
variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(question, false)
}
if (isAcceptVariable && variableFullPath === CHAT_HISTORY_VAR_PREFIX) {
variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(convertChatHistoryToText(chatHistory), false)
}
// Split by first occurrence of '.' to get just nodeId
@@ -317,6 +393,25 @@ export const getVariableValue = (paramValue: string, reactFlowNodes: IReactFlowN
return returnVal
}
/**
* Temporarily disable streaming if vectorStore is Faiss
* @param {INodeData} flowNodeData
* @returns {boolean}
*/
export const isVectorStoreFaiss = (flowNodeData: INodeData) => {
if (flowNodeData.inputs && flowNodeData.inputs.vectorStoreRetriever) {
const vectorStoreRetriever = flowNodeData.inputs.vectorStoreRetriever
if (typeof vectorStoreRetriever === 'string' && vectorStoreRetriever.includes('faiss')) return true
if (
typeof vectorStoreRetriever === 'object' &&
vectorStoreRetriever.vectorStore &&
vectorStoreRetriever.vectorStore.constructor.name === 'FaissStore'
)
return true
}
return false
}
/**
* Loop through each inputs and resolve variable if neccessary
* @param {INodeData} reactFlowNodeData
@@ -324,8 +419,18 @@ export const getVariableValue = (paramValue: string, reactFlowNodes: IReactFlowN
* @param {string} question
* @returns {INodeData}
*/
export const resolveVariables = (reactFlowNodeData: INodeData, reactFlowNodes: IReactFlowNode[], question: string): INodeData => {
const flowNodeData = cloneDeep(reactFlowNodeData)
export const resolveVariables = (
reactFlowNodeData: INodeData,
reactFlowNodes: IReactFlowNode[],
question: string,
chatHistory: IMessage[]
): INodeData => {
let flowNodeData = cloneDeep(reactFlowNodeData)
if (reactFlowNodeData.instance && isVectorStoreFaiss(reactFlowNodeData)) {
// omit and merge because cloneDeep of instance gives "Illegal invocation" Exception
const flowNodeDataWithoutInstance = cloneDeep(omit(reactFlowNodeData, ['instance']))
flowNodeData = merge(flowNodeDataWithoutInstance, { instance: reactFlowNodeData.instance })
}
const types = 'inputs'
const getParamValues = (paramsObj: ICommonObject) => {
@@ -334,13 +439,13 @@ export const resolveVariables = (reactFlowNodeData: INodeData, reactFlowNodes: I
if (Array.isArray(paramValue)) {
const resolvedInstances = []
for (const param of paramValue) {
const resolvedInstance = getVariableValue(param, reactFlowNodes, question)
const resolvedInstance = getVariableValue(param, reactFlowNodes, question, chatHistory)
resolvedInstances.push(resolvedInstance)
}
paramsObj[key] = resolvedInstances
} else {
const isAcceptVariable = reactFlowNodeData.inputParams.find((param) => param.name === key)?.acceptVariable ?? false
const resolvedInstance = getVariableValue(paramValue, reactFlowNodes, question, isAcceptVariable)
const resolvedInstance = getVariableValue(paramValue, reactFlowNodes, question, chatHistory, isAcceptVariable)
paramsObj[key] = resolvedInstance
}
}
@@ -363,9 +468,20 @@ export const replaceInputsWithConfig = (flowNodeData: INodeData, overrideConfig:
const types = 'inputs'
const getParamValues = (paramsObj: ICommonObject) => {
for (const key in paramsObj) {
const paramValue: string = paramsObj[key]
paramsObj[key] = overrideConfig[key] ?? paramValue
for (const config in overrideConfig) {
// If overrideConfig[key] is object
if (overrideConfig[config] && typeof overrideConfig[config] === 'object') {
const nodeIds = Object.keys(overrideConfig[config])
if (!nodeIds.includes(flowNodeData.id)) continue
else paramsObj[config] = overrideConfig[config][flowNodeData.id]
continue
}
let paramValue = overrideConfig[config] ?? paramsObj[config]
// Check if boolean
if (paramValue === 'true') paramValue = true
else if (paramValue === 'false') paramValue = false
paramsObj[config] = paramValue
}
}
@@ -382,13 +498,17 @@ export const replaceInputsWithConfig = (flowNodeData: INodeData, overrideConfig:
* @param {IReactFlowNode[]} startingNodes
* @returns {boolean}
*/
export const isStartNodeDependOnInput = (startingNodes: IReactFlowNode[]): boolean => {
export const isStartNodeDependOnInput = (startingNodes: IReactFlowNode[], nodes: IReactFlowNode[]): boolean => {
for (const node of startingNodes) {
for (const inputName in node.data.inputs) {
const inputVariables = getInputVariables(node.data.inputs[inputName])
if (inputVariables.length > 0) return true
}
}
const whitelistNodeNames = ['vectorStoreToDocument']
for (const node of nodes) {
if (whitelistNodeNames.includes(node.data.name)) return true
}
return false
}
@@ -414,7 +534,7 @@ export const isSameOverrideConfig = (
Object.keys(existingOverrideConfig).length &&
newOverrideConfig &&
Object.keys(newOverrideConfig).length &&
JSON.stringify(existingOverrideConfig) === JSON.stringify(newOverrideConfig)
isEqual(existingOverrideConfig, newOverrideConfig)
) {
return true
}
@@ -428,7 +548,7 @@ export const isSameOverrideConfig = (
* @returns {string}
*/
export const getAPIKeyPath = (): string => {
return path.join(__dirname, '..', '..', 'api.json')
return process.env.APIKEY_PATH ? path.join(process.env.APIKEY_PATH, 'api.json') : path.join(__dirname, '..', '..', 'api.json')
}
/**
@@ -512,6 +632,18 @@ export const addAPIKey = async (keyName: string): Promise<ICommonObject[]> => {
return content
}
/**
* Get API Key details
* @param {string} apiKey
* @returns {Promise<ICommonObject[]>}
*/
export const getApiKey = async (apiKey: string) => {
const existingAPIKeys = await getAPIKeys()
const keyIndex = existingAPIKeys.findIndex((key) => key.apiKey === apiKey)
if (keyIndex < 0) return undefined
return existingAPIKeys[keyIndex]
}
/**
* Update existing API key
* @param {string} keyIdToUpdate
@@ -548,7 +680,7 @@ export const replaceAllAPIKeys = async (content: ICommonObject[]): Promise<void>
try {
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
} catch (error) {
console.error(error)
logger.error(error)
}
}
@@ -567,39 +699,82 @@ export const mapMimeTypeToInputField = (mimeType: string) => {
return 'jsonFile'
case 'text/csv':
return 'csvFile'
case 'application/json-lines':
case 'application/jsonl':
case 'text/jsonl':
return 'jsonlinesFile'
case 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
return 'docxFile'
case 'application/vnd.yaml':
case 'application/x-yaml':
case 'text/vnd.yaml':
case 'text/x-yaml':
case 'text/yaml':
return 'yamlFile'
default:
return ''
}
}
/**
* 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) {
for (const inputParam of flowNode.data.inputParams) {
let obj: IOverrideConfig
if (inputParam.type === 'password' || inputParam.type === 'options') {
continue
} else if (inputParam.type === 'file') {
if (inputParam.type === 'file') {
obj = {
node: flowNode.data.label,
nodeId: flowNode.data.id,
label: inputParam.label,
name: 'files',
type: inputParam.fileType ?? inputParam.type
}
} else if (inputParam.type === 'options') {
obj = {
node: flowNode.data.label,
nodeId: flowNode.data.id,
label: inputParam.label,
name: inputParam.name,
type: inputParam.options
? inputParam.options
?.map((option) => {
return option.name
})
.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,
nodeId: flowNode.data.id,
label: input.label,
name: input.name,
type: input.type === 'password' ? 'string' : input.type
}
configs.push(obj)
}
}
}
continue
} else {
obj = {
node: flowNode.data.label,
nodeId: flowNode.data.id,
label: inputParam.label,
name: inputParam.name,
type: inputParam.type
type: inputParam.type === 'password' ? 'string' : inputParam.type
}
}
if (!configs.some((config) => JSON.stringify(config) === JSON.stringify(obj))) {
@@ -610,3 +785,166 @@ export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[]) => {
return configs
}
/**
* Check to see if flow valid for stream
* @param {IReactFlowNode[]} reactFlowNodes
* @param {INodeData} endingNodeData
* @returns {boolean}
*/
export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNodeData: INodeData) => {
const streamAvailableLLMs = {
'Chat Models': ['azureChatOpenAI', 'chatOpenAI', 'chatAnthropic'],
LLMs: ['azureOpenAI', 'openAI']
}
let isChatOrLLMsExist = false
for (const flowNode of reactFlowNodes) {
const data = flowNode.data
if (data.category === 'Chat Models' || data.category === 'LLMs') {
isChatOrLLMsExist = true
const validLLMs = streamAvailableLLMs[data.category]
if (!validLLMs.includes(data.name)) return false
}
}
let isValidChainOrAgent = false
if (endingNodeData.category === 'Chains') {
// Chains that are not available to stream
const blacklistChains = ['openApiChain']
isValidChainOrAgent = !blacklistChains.includes(endingNodeData.name)
} else if (endingNodeData.category === 'Agents') {
// Agent that are available to stream
const whitelistAgents = ['openAIFunctionAgent', 'csvAgent', 'airtableAgent', 'conversationalRetrievalAgent']
isValidChainOrAgent = whitelistAgents.includes(endingNodeData.name)
}
return isChatOrLLMsExist && isValidChainOrAgent && !isVectorStoreFaiss(endingNodeData)
}
/**
* 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
}
/**
* Replace sessionId with new chatId
* Ex: after clear chat history, use the new chatId as sessionId
* @param {any} instance
* @param {string} chatId
*/
export const checkMemorySessionId = (instance: any, chatId: string) => {
if (instance.memory && instance.memory.isSessionIdUsingChatMessageId && chatId) {
instance.memory.sessionId = chatId
}
}
packages/server/src/utils/logger.ts
+106
View File
@@ -0,0 +1,106 @@
import * as path from 'path'
import * as fs from 'fs'
import config from './config' // should be replaced by node-config or similar
import { createLogger, transports, format } from 'winston'
import { NextFunction, Request, Response } from 'express'
const { combine, timestamp, printf, errors } = format
// expect the log dir be relative to the projects root
const logDir = config.logging.dir
// Create the log directory if it doesn't exist
if (!fs.existsSync(logDir)) {
fs.mkdirSync(logDir)
}
const logger = createLogger({
format: combine(
timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }),
format.json(),
printf(({ level, message, timestamp, stack }) => {
const text = `${timestamp} [${level.toUpperCase()}]: ${message}`
return stack ? text + '\n' + stack : text
}),
errors({ stack: true })
),
defaultMeta: {
package: 'server'
},
transports: [
new transports.Console(),
new transports.File({
filename: path.join(logDir, config.logging.server.filename ?? 'server.log'),
level: config.logging.server.level ?? 'info'
}),
new transports.File({
filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log'),
level: 'error' // Log only errors to this file
})
],
exceptionHandlers: [
new transports.File({
filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log')
})
],
rejectionHandlers: [
new transports.File({
filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log')
})
]
})
/**
* This function is used by express as a middleware.
* @example
* this.app = express()
* this.app.use(expressRequestLogger)
*/
export function expressRequestLogger(req: Request, res: Response, next: NextFunction): void {
const unwantedLogURLs = ['/api/v1/node-icon/']
if (req.url.includes('/api/v1/') && !unwantedLogURLs.some((url) => req.url.includes(url))) {
const fileLogger = createLogger({
format: combine(timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }), format.json(), errors({ stack: true })),
defaultMeta: {
package: 'server',
request: {
method: req.method,
url: req.url,
body: req.body,
query: req.query,
params: req.params,
headers: req.headers
}
},
transports: [
new transports.File({
filename: path.join(logDir, config.logging.express.filename ?? 'server-requests.log.jsonl'),
level: config.logging.express.level ?? 'debug'
})
]
})
const getRequestEmoji = (method: string) => {
const requetsEmojis: Record<string, string> = {
GET: '⬇️',
POST: '⬆️',
PUT: '🖊',
DELETE: '❌',
OPTION: '🔗'
}
return requetsEmojis[method] || '?'
}
if (req.method !== 'GET') {
fileLogger.info(`${getRequestEmoji(req.method)} ${req.method} ${req.url}`)
logger.info(`${getRequestEmoji(req.method)} ${req.method} ${req.url}`)
} else {
fileLogger.http(`${getRequestEmoji(req.method)} ${req.method} ${req.url}`)
}
}
next()
}
export default logger