Merge branch 'FlowiseAI:main' into main

pull/645/head
Seif 2023-07-29 12:14:40 -07:00 committed by GitHub
commit 62a13630b9
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
227 changed files with 12822 additions and 7304 deletions

View File

@ -118,26 +118,28 @@ Flowise has 3 different modules in a single mono repository.
Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder. Read [more](https://docs.flowiseai.com/environment-variables)
| Variable | Description | Type | Default |
| -------------------------- | ---------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- |
| PORT | The HTTP port Flowise runs on | Number | 3000 |
| FLOWISE_USERNAME | Username to login | String | |
| FLOWISE_PASSWORD | Password to login | String | |
| DEBUG | Print logs from components | Boolean | |
| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` |
| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` |
| APIKEY_PATH | Location where api keys are saved | String | `your-path/Flowise/packages/server` |
| EXECUTION_MODE | Whether predictions run in their own process or the main process | Enum String: `child`, `main` | `main` |
| TOOL_FUNCTION_BUILTIN_DEP | NodeJS built-in modules to be used for Tool Function | String | |
| TOOL_FUNCTION_EXTERNAL_DEP | External modules to be used for Tool Function | String | |
| OVERRIDE_DATABASE | Override current database with default | Enum String: `true`, `false` | `true` |
| DATABASE_TYPE | Type of database to store the flowise data | Enum String: `sqlite`, `mysql`, `postgres` | `sqlite` |
| DATABASE_PATH | Location where database is saved (When DATABASE_TYPE is sqlite) | String | `your-home-dir/.flowise` |
| DATABASE_HOST | Host URL or IP address (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PORT | Database port (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_USERNAME | Database username (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PASSWORD | Database password (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_NAME | Database name (When DATABASE_TYPE is not sqlite) | String | |
| Variable | Description | Type | Default |
| -------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- |
| PORT | The HTTP port Flowise runs on | Number | 3000 |
| FLOWISE_USERNAME | Username to login | String | |
| FLOWISE_PASSWORD | Password to login | String | |
| DEBUG | Print logs from components | Boolean | |
| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` |
| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` |
| APIKEY_PATH | Location where api keys are saved | String | `your-path/Flowise/packages/server` |
| EXECUTION_MODE | Whether predictions run in their own process or the main process | Enum String: `child`, `main` | `main` |
| TOOL_FUNCTION_BUILTIN_DEP | NodeJS built-in modules to be used for Tool Function | String | |
| TOOL_FUNCTION_EXTERNAL_DEP | External modules to be used for Tool Function | String | |
| OVERRIDE_DATABASE | Override current database with default | Enum String: `true`, `false` | `true` |
| DATABASE_TYPE | Type of database to store the flowise data | Enum String: `sqlite`, `mysql`, `postgres` | `sqlite` |
| DATABASE_PATH | Location where database is saved (When DATABASE_TYPE is sqlite) | String | `your-home-dir/.flowise` |
| DATABASE_HOST | Host URL or IP address (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PORT | Database port (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_USER | Database username (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PASSWORD | Database password (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_NAME | Database name (When DATABASE_TYPE is not sqlite) | String | |
| PASSPHRASE | Passphrase used to create encryption key | String | `MYPASSPHRASE` |
| SECRETKEY_PATH | Location where encryption key (used to encrypt/decrypt credentials) is saved | String | `your-path/Flowise/packages/server` |
You can also specify the env variables when using `npx`. For example:

View File

@ -41,7 +41,7 @@ Download and Install [NodeJS](https://nodejs.org/en/download) >= 18.15.0
### Docker Compose
1. Go to `docker` folder at the root of the project
2. Create `.env` file and specify the `PORT` (refer to `.env.example`)
2. Copy `.env.example` file, paste it into the same location, and rename to `.env`
3. `docker-compose up -d`
4. Open [http://localhost:3000](http://localhost:3000)
5. You can bring the containers down by `docker-compose stop`

View File

@ -1,20 +1,22 @@
PORT=3000
OVERRIDE_DATABASE=true
DATABASE_TYPE=sqlite
PASSPHRASE=MYPASSPHRASE # Passphrase used to create encryption key
DATABASE_PATH=/root/.flowise
# When database is not sqlite
APIKEY_PATH=/root/.flowise
SECRETKEY_PATH=/root/.flowise
LOG_PATH=/root/.flowise/logs
# DATABASE_TYPE=postgres
# DATABASE_PORT=""
# DATABASE_HOST=""
# DATABASE_NAME="flowise"
# DATABASE_USER=""
# DATABASE_PASSWORD=""
# OVERRIDE_DATABASE=true
APIKEY_PATH=/root/.flowise
LOG_PATH=/root/.flowise/logs
# FLOWISE_USERNAME=user
# FLOWISE_PASSWORD=1234
# DEBUG=true
# LOG_LEVEL=debug (error | warn | info | verbose | debug)
# EXECUTION_MODE=child or main
# EXECUTION_MODE=main (child | main)
# TOOL_FUNCTION_BUILTIN_DEP=crypto,fs
# TOOL_FUNCTION_EXTERNAL_DEP=moment,lodash

View File

@ -25,10 +25,11 @@ Starts Flowise from [DockerHub Image](https://hub.docker.com/repository/docker/f
## 🌱 Env Variables
If you like to persist your data (flows, logs, apikeys), set these variables in the `.env` file inside `docker` folder:
If you like to persist your data (flows, logs, apikeys, credentials), set these variables in the `.env` file inside `docker` folder:
- DATABASE_PATH=/root/.flowise
- APIKEY_PATH=/root/.flowise
- LOG_PATH=/root/.flowise/logs
- SECRETKEY_PATH=/root/.flowise
Flowise also support different environment variables to configure your instance. Read [more](https://docs.flowiseai.com/environment-variables)

View File

@ -6,13 +6,15 @@ services:
restart: always
environment:
- PORT=${PORT}
- PASSPHRASE=${PASSPHRASE}
- FLOWISE_USERNAME=${FLOWISE_USERNAME}
- FLOWISE_PASSWORD=${FLOWISE_PASSWORD}
- DEBUG=${DEBUG}
- DATABASE_PATH=${DATABASE_PATH}
- APIKEY_PATH=${APIKEY_PATH}
- LOG_PATH=${LOG_PATH}
- SECRETKEY_PATH=${SECRETKEY_PATH}
- LOG_LEVEL=${LOG_LEVEL}
- LOG_PATH=${LOG_PATH}
- EXECUTION_MODE=${EXECUTION_MODE}
ports:
- '${PORT}:${PORT}'

View File

@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.2.16",
"version": "1.3.1",
"private": true,
"homepage": "https://flowiseai.com",
"workspaces": [

View File

@ -0,0 +1,27 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class AirtableApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Airtable API'
this.name = 'airtableApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://support.airtable.com/docs/creating-and-using-api-keys-and-access-tokens">official guide</a> on how to get accessToken on Airtable'
this.inputs = [
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<AIRTABLE_ACCESS_TOKEN>'
}
]
}
}
module.exports = { credClass: AirtableApi }

View File

@ -0,0 +1,23 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class AnthropicApi implements INodeCredential {
label: string
name: string
version: number
inputs: INodeParams[]
constructor() {
this.label = 'Anthropic API'
this.name = 'anthropicApi'
this.version = 1.0
this.inputs = [
{
label: 'Anthropic Api Key',
name: 'anthropicApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: AnthropicApi }

View File

@ -0,0 +1,47 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class AzureOpenAIApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI API'
this.name = 'azureOpenAIApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://azure.microsoft.com/en-us/products/cognitive-services/openai-service">official guide</a> of how to use Azure OpenAI service'
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password',
description: `Refer to <a target="_blank" href="https://learn.microsoft.com/en-us/azure/cognitive-services/openai/quickstart?tabs=command-line&pivots=rest-api#set-up">official guide</a> on how to create API key on Azure OpenAI`
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'string',
placeholder: '2023-06-01-preview',
description:
'Description of Supported API Versions. Please refer <a target="_blank" href="https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#chat-completions">examples</a>'
}
]
}
}
module.exports = { credClass: AzureOpenAIApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class BraveSearchApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Brave Search API'
this.name = 'braveSearchApi'
this.version = 1.0
this.inputs = [
{
label: 'BraveSearch Api Key',
name: 'braveApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: BraveSearchApi }

View File

@ -0,0 +1,23 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class CohereApi implements INodeCredential {
label: string
name: string
version: number
inputs: INodeParams[]
constructor() {
this.label = 'Cohere API'
this.name = 'cohereApi'
this.version = 1.0
this.inputs = [
{
label: 'Cohere Api Key',
name: 'cohereApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: CohereApi }

View File

@ -0,0 +1,33 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class ConfluenceApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Confluence API'
this.name = 'confluenceApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://support.atlassian.com/confluence-cloud/docs/manage-oauth-access-tokens/">official guide</a> on how to get accessToken on Confluence'
this.inputs = [
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<CONFLUENCE_ACCESS_TOKEN>'
},
{
label: 'Username',
name: 'username',
type: 'string',
placeholder: '<CONFLUENCE_USERNAME>'
}
]
}
}
module.exports = { credClass: ConfluenceApi }

View File

@ -0,0 +1,29 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class DynamodbMemoryApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'DynamodbMemory API'
this.name = 'dynamodbMemoryApi'
this.version = 1.0
this.inputs = [
{
label: 'Access Key',
name: 'accessKey',
type: 'password'
},
{
label: 'Secret Access Key',
name: 'secretAccessKey',
type: 'password'
}
]
}
}
module.exports = { credClass: DynamodbMemoryApi }

View File

@ -0,0 +1,27 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class FigmaApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Figma API'
this.name = 'figmaApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://www.figma.com/developers/api#access-tokens">official guide</a> on how to get accessToken on Figma'
this.inputs = [
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<FIGMA_ACCESS_TOKEN>'
}
]
}
}
module.exports = { credClass: FigmaApi }

View File

@ -0,0 +1,27 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class GithubApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Github API'
this.name = 'githubApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens">official guide</a> on how to get accessToken on Github'
this.inputs = [
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<GITHUB_ACCESS_TOKEN>'
}
]
}
}
module.exports = { credClass: GithubApi }

View File

@ -0,0 +1,23 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class HuggingFaceApi implements INodeCredential {
label: string
name: string
version: number
inputs: INodeParams[]
constructor() {
this.label = 'HuggingFace API'
this.name = 'huggingFaceApi'
this.version = 1.0
this.inputs = [
{
label: 'HuggingFace Api Key',
name: 'huggingFaceApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: HuggingFaceApi }

View File

@ -0,0 +1,31 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class MotorheadMemoryApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Motorhead Memory API'
this.name = 'motorheadMemoryApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://docs.getmetal.io/misc-get-keys">official guide</a> on how to create API key and Client ID on Motorhead Memory'
this.inputs = [
{
label: 'Client ID',
name: 'clientId',
type: 'string'
},
{
label: 'API Key',
name: 'apiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: MotorheadMemoryApi }

View File

@ -0,0 +1,26 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class NotionApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Notion API'
this.name = 'notionApi'
this.version = 1.0
this.description =
'You can find integration token <a target="_blank" href="https://developers.notion.com/docs/create-a-notion-integration#step-1-create-an-integration">here</a>'
this.inputs = [
{
label: 'Notion Integration Token',
name: 'notionIntegrationToken',
type: 'password'
}
]
}
}
module.exports = { credClass: NotionApi }

View File

@ -0,0 +1,23 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class OpenAIApi implements INodeCredential {
label: string
name: string
version: number
inputs: INodeParams[]
constructor() {
this.label = 'OpenAI API'
this.name = 'openAIApi'
this.version = 1.0
this.inputs = [
{
label: 'OpenAI Api Key',
name: 'openAIApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: OpenAIApi }

View File

@ -0,0 +1,25 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class OpenAPIAuth implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'OpenAPI Auth Token'
this.name = 'openAPIAuth'
this.version = 1.0
this.inputs = [
{
label: 'OpenAPI Token',
name: 'openAPIToken',
type: 'password',
description: 'Auth Token. For example: Bearer <TOKEN>'
}
]
}
}
module.exports = { credClass: OpenAPIAuth }

View File

@ -0,0 +1,29 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class PineconeApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Pinecone API'
this.name = 'pineconeApi'
this.version = 1.0
this.inputs = [
{
label: 'Pinecone Api Key',
name: 'pineconeApiKey',
type: 'password'
},
{
label: 'Pinecone Environment',
name: 'pineconeEnv',
type: 'string'
}
]
}
}
module.exports = { credClass: PineconeApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class QdrantApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Qdrant API'
this.name = 'qdrantApi'
this.version = 1.0
this.inputs = [
{
label: 'Qdrant API Key',
name: 'qdrantApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: QdrantApi }

View File

@ -0,0 +1,23 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class ReplicateApi implements INodeCredential {
label: string
name: string
version: number
inputs: INodeParams[]
constructor() {
this.label = 'Replicate API'
this.name = 'replicateApi'
this.version = 1.0
this.inputs = [
{
label: 'Replicate Api Key',
name: 'replicateApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: ReplicateApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class SerpApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Serp API'
this.name = 'serpApi'
this.version = 1.0
this.inputs = [
{
label: 'Serp Api Key',
name: 'serpApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: SerpApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class SerperApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Serper API'
this.name = 'serperApi'
this.version = 1.0
this.inputs = [
{
label: 'Serper Api Key',
name: 'serperApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: SerperApi }

View File

@ -0,0 +1,31 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class SingleStoreApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'SingleStore API'
this.name = 'singleStoreApi'
this.version = 1.0
this.inputs = [
{
label: 'User',
name: 'user',
type: 'string',
placeholder: '<SINGLESTORE_USERNAME>'
},
{
label: 'Password',
name: 'password',
type: 'password',
placeholder: '<SINGLESTORE_PASSWORD>'
}
]
}
}
module.exports = { credClass: SingleStoreApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class SupabaseApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Supabase API'
this.name = 'supabaseApi'
this.version = 1.0
this.inputs = [
{
label: 'Supabase API Key',
name: 'supabaseApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: SupabaseApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class WeaviateApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Weaviate API'
this.name = 'weaviateApi'
this.version = 1.0
this.inputs = [
{
label: 'Weaviate API Key',
name: 'weaviateApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: WeaviateApi }

View File

@ -0,0 +1,24 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class ZapierNLAApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Zapier NLA API'
this.name = 'zapierNLAApi'
this.version = 1.0
this.inputs = [
{
label: 'Zapier NLA Api Key',
name: 'zapierNLAApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: ZapierNLAApi }

View File

@ -0,0 +1,26 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class ZepMemoryApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Zep Memory API'
this.name = 'zepMemoryApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://docs.getzep.com/deployment/auth/">official guide</a> on how to create API key on Zep'
this.inputs = [
{
label: 'API Key',
name: 'apiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: ZepMemoryApi }

View File

@ -1,6 +1,6 @@
import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface'
import { AgentExecutor } from 'langchain/agents'
import { getBaseClasses } from '../../../src/utils'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { LoadPyodide, finalSystemPrompt, systemPrompt } from './core'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
@ -10,34 +10,36 @@ import axios from 'axios'
class Airtable_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Airtable Agent'
this.name = 'airtableAgent'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'airtable.svg'
this.description = 'Agent used to to answer queries on Airtable table'
this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['airtableApi']
}
this.inputs = [
{
label: 'Language Model',
name: 'model',
type: 'BaseLanguageModel'
},
{
label: 'Personal Access Token',
name: 'accessToken',
type: 'password',
description:
'Get personal access token from <a target="_blank" href="https://airtable.com/developers/web/guides/personal-access-tokens">official guide</a>'
},
{
label: 'Base Id',
name: 'baseId',
@ -67,7 +69,6 @@ class Airtable_Agents implements INode {
name: 'limit',
type: 'number',
default: 100,
step: 1,
additionalParams: true,
description: 'Number of results to return'
}
@ -81,12 +82,14 @@ class Airtable_Agents implements INode {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const model = nodeData.inputs?.model as BaseLanguageModel
const accessToken = nodeData.inputs?.accessToken as string
const baseId = nodeData.inputs?.baseId as string
const tableId = nodeData.inputs?.tableId as string
const returnAll = nodeData.inputs?.returnAll as boolean
const limit = nodeData.inputs?.limit as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessToken = getCredentialParam('accessToken', credentialData, nodeData)
let airtableData: ICommonObject[] = []
if (returnAll) {
@ -124,7 +127,6 @@ json.dumps(my_dict)`
} catch (error) {
throw new Error(error)
}
options.logger.debug('[components/AirtableAgent] [1] DataframeColDict =>', dataframeColDict)
// Then tell GPT to come out with ONLY python code
// For example: len(df), df[df['SibSp'] > 3]['PassengerId'].count()
@ -142,7 +144,6 @@ json.dumps(my_dict)`
const res = await chain.call(inputs, [loggerHandler])
pythonCode = res?.text
}
options.logger.debug('[components/AirtableAgent] [2] Generated Python Code =>', pythonCode)
// Then run the code using Pyodide
let finalResult = ''
@ -154,7 +155,6 @@ json.dumps(my_dict)`
throw new Error(`Sorry, I'm unable to find answer for question: "${input}" using follwoing code: "${pythonCode}"`)
}
}
options.logger.debug('[components/AirtableAgent] [3] Pyodide Result =>', finalResult)
// Finally, return a complete answer
if (finalResult) {
@ -170,11 +170,9 @@ json.dumps(my_dict)`
if (options.socketIO && options.socketIOClientId) {
const result = await chain.call(inputs, [loggerHandler, handler])
options.logger.debug('[components/AirtableAgent] [4] Final Result =>', result?.text)
return result?.text
} else {
const result = await chain.call(inputs, [loggerHandler])
options.logger.debug('[components/AirtableAgent] [4] Final Result =>', result?.text)
return result?.text
}
}

View File

@ -8,6 +8,7 @@ import { flatten } from 'lodash'
class AutoGPT_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -18,6 +19,7 @@ class AutoGPT_Agents implements INode {
constructor() {
this.label = 'AutoGPT'
this.name = 'autoGPT'
this.version = 1.0
this.type = 'AutoGPT'
this.category = 'Agents'
this.icon = 'autogpt.png'

View File

@ -6,6 +6,7 @@ import { VectorStore } from 'langchain/vectorstores'
class BabyAGI_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -16,6 +17,7 @@ class BabyAGI_Agents implements INode {
constructor() {
this.label = 'BabyAGI'
this.name = 'babyAGI'
this.version = 1.0
this.type = 'BabyAGI'
this.category = 'Agents'
this.icon = 'babyagi.jpg'

View File

@ -9,6 +9,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class CSV_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -19,6 +20,7 @@ class CSV_Agents implements INode {
constructor() {
this.label = 'CSV Agent'
this.name = 'csvAgent'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'csvagent.png'
@ -92,7 +94,6 @@ json.dumps(my_dict)`
} catch (error) {
throw new Error(error)
}
options.logger.debug('[components/CSVAgent] [1] DataframeColDict =>', dataframeColDict)
// Then tell GPT to come out with ONLY python code
// For example: len(df), df[df['SibSp'] > 3]['PassengerId'].count()
@ -110,7 +111,6 @@ json.dumps(my_dict)`
const res = await chain.call(inputs, [loggerHandler])
pythonCode = res?.text
}
options.logger.debug('[components/CSVAgent] [2] Generated Python Code =>', pythonCode)
// Then run the code using Pyodide
let finalResult = ''
@ -122,7 +122,6 @@ json.dumps(my_dict)`
throw new Error(`Sorry, I'm unable to find answer for question: "${input}" using follwoing code: "${pythonCode}"`)
}
}
options.logger.debug('[components/CSVAgent] [3] Pyodide Result =>', finalResult)
// Finally, return a complete answer
if (finalResult) {
@ -138,11 +137,9 @@ json.dumps(my_dict)`
if (options.socketIO && options.socketIOClientId) {
const result = await chain.call(inputs, [loggerHandler, handler])
options.logger.debug('[components/CSVAgent] [4] Final Result =>', result?.text)
return result?.text
} else {
const result = await chain.call(inputs, [loggerHandler])
options.logger.debug('[components/CSVAgent] [4] Final Result =>', result?.text)
return result?.text
}
}

View File

@ -7,9 +7,18 @@ import { AIMessage, HumanMessage } from 'langchain/schema'
import { BaseLanguageModel } from 'langchain/base_language'
import { flatten } from 'lodash'
const DEFAULT_PREFIX = `Assistant is a large language model trained by OpenAI.
Assistant 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.
Assistant 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.
Overall, 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.`
class ConversationalAgent_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -20,6 +29,7 @@ class ConversationalAgent_Agents implements INode {
constructor() {
this.label = 'Conversational Agent'
this.name = 'conversationalAgent'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
@ -47,14 +57,7 @@ class ConversationalAgent_Agents implements INode {
name: 'systemMessage',
type: 'string',
rows: 4,
optional: true,
additionalParams: true
},
{
label: 'Human Message',
name: 'humanMessage',
type: 'string',
rows: 4,
default: DEFAULT_PREFIX,
optional: true,
additionalParams: true
}
@ -66,7 +69,6 @@ class ConversationalAgent_Agents implements INode {
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const memory = nodeData.inputs?.memory as BaseChatMemory
const humanMessage = nodeData.inputs?.humanMessage as string
const systemMessage = nodeData.inputs?.systemMessage as string
const obj: InitializeAgentExecutorOptions = {
@ -75,9 +77,6 @@ class ConversationalAgent_Agents implements INode {
}
const agentArgs: any = {}
if (humanMessage) {
agentArgs.humanMessage = humanMessage
}
if (systemMessage) {
agentArgs.systemMessage = systemMessage
}

View File

@ -8,6 +8,7 @@ import { flatten } from 'lodash'
class MRKLAgentChat_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -18,6 +19,7 @@ class MRKLAgentChat_Agents implements INode {
constructor() {
this.label = 'MRKL Agent for Chat Models'
this.name = 'mrklAgentChat'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'

View File

@ -8,6 +8,7 @@ import { flatten } from 'lodash'
class MRKLAgentLLM_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -18,6 +19,7 @@ class MRKLAgentLLM_Agents implements INode {
constructor() {
this.label = 'MRKL Agent for LLMs'
this.name = 'mrklAgentLLM'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'

View File

@ -10,6 +10,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class OpenAIFunctionAgent_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -20,6 +21,7 @@ class OpenAIFunctionAgent_Agents implements INode {
constructor() {
this.label = 'OpenAI Function Agent'
this.name = 'openAIFunctionAgent'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'openai.png'

View File

@ -19,6 +19,7 @@ export const API_RESPONSE_RAW_PROMPT_TEMPLATE =
class GETApiChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -29,6 +30,7 @@ class GETApiChain_Chains implements INode {
constructor() {
this.label = 'GET API Chain'
this.name = 'getApiChain'
this.version = 1.0
this.type = 'GETApiChain'
this.icon = 'apichain.svg'
this.category = 'Chains'

View File

@ -7,6 +7,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class OpenApiChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -17,10 +18,11 @@ class OpenApiChain_Chains implements INode {
constructor() {
this.label = 'OpenAPI Chain'
this.name = 'openApiChain'
this.type = 'openApiChain'
this.version = 1.0
this.type = 'OpenAPIChain'
this.icon = 'openapi.png'
this.category = 'Chains'
this.description = 'Chain to run queries against OpenAPI'
this.description = 'Chain that automatically select and call APIs based only on an OpenAPI spec'
this.baseClasses = [this.type, ...getBaseClasses(APIChain)]
this.inputs = [
{

View File

@ -8,6 +8,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class POSTApiChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -18,6 +19,7 @@ class POSTApiChain_Chains implements INode {
constructor() {
this.label = 'POST API Chain'
this.name = 'postApiChain'
this.version = 1.0
this.type = 'POSTApiChain'
this.icon = 'apichain.svg'
this.category = 'Chains'

View File

@ -14,6 +14,7 @@ let systemMessage = `The following is a friendly conversation between a human an
class ConversationChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -24,6 +25,7 @@ class ConversationChain_Chains implements INode {
constructor() {
this.label = 'Conversation Chain'
this.name = 'conversationChain'
this.version = 1.0
this.type = 'ConversationChain'
this.icon = 'chain.svg'
this.category = 'Chains'
@ -77,6 +79,9 @@ class ConversationChain_Chains implements INode {
finalText += finalDocs[i].pageContent
}
const replaceChar: string[] = ['{', '}']
for (const char of replaceChar) finalText = finalText.replaceAll(char, '')
if (finalText) systemMessage = `${systemMessage}\nThe AI has the following context:\n${finalText}`
const obj: any = {

View File

@ -2,7 +2,8 @@ import { BaseLanguageModel } from 'langchain/base_language'
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ConversationalRetrievalQAChain, QAChainParams } from 'langchain/chains'
import { AIMessage, BaseRetriever, HumanMessage } from 'langchain/schema'
import { AIMessage, HumanMessage } from 'langchain/schema'
import { BaseRetriever } from 'langchain/schema/retriever'
import { BaseChatMemory, BufferMemory, ChatMessageHistory, BufferMemoryInput } from 'langchain/memory'
import { PromptTemplate } from 'langchain/prompts'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
@ -19,6 +20,7 @@ import {
class ConversationalRetrievalQAChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -29,6 +31,7 @@ class ConversationalRetrievalQAChain_Chains implements INode {
constructor() {
this.label = 'Conversational Retrieval QA Chain'
this.name = 'conversationalRetrievalQAChain'
this.version = 1.0
this.type = 'ConversationalRetrievalQAChain'
this.icon = 'chain.svg'
this.category = 'Chains'

View File

@ -7,6 +7,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class LLMChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -18,6 +19,7 @@ class LLMChain_Chains implements INode {
constructor() {
this.label = 'LLM Chain'
this.name = 'llmChain'
this.version = 1.0
this.type = 'LLMChain'
this.icon = 'chain.svg'
this.category = 'Chains'

View File

@ -7,6 +7,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class MultiPromptChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -17,6 +18,7 @@ class MultiPromptChain_Chains implements INode {
constructor() {
this.label = 'Multi Prompt Chain'
this.name = 'multiPromptChain'
this.version = 1.0
this.type = 'MultiPromptChain'
this.icon = 'chain.svg'
this.category = 'Chains'

View File

@ -7,6 +7,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class MultiRetrievalQAChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -17,6 +18,7 @@ class MultiRetrievalQAChain_Chains implements INode {
constructor() {
this.label = 'Multi Retrieval QA Chain'
this.name = 'multiRetrievalQAChain'
this.version = 1.0
this.type = 'MultiRetrievalQAChain'
this.icon = 'chain.svg'
this.category = 'Chains'

View File

@ -1,6 +1,6 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { RetrievalQAChain } from 'langchain/chains'
import { BaseRetriever } from 'langchain/schema'
import { BaseRetriever } from 'langchain/schema/retriever'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
@ -8,6 +8,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class RetrievalQAChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -18,6 +19,7 @@ class RetrievalQAChain_Chains implements INode {
constructor() {
this.label = 'Retrieval QA Chain'
this.name = 'retrievalQAChain'
this.version = 1.0
this.type = 'RetrievalQAChain'
this.icon = 'chain.svg'
this.category = 'Chains'

View File

@ -9,6 +9,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class SqlDatabaseChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -19,6 +20,7 @@ class SqlDatabaseChain_Chains implements INode {
constructor() {
this.label = 'Sql Database Chain'
this.name = 'sqlDatabaseChain'
this.version = 1.0
this.type = 'SqlDatabaseChain'
this.icon = 'sqlchain.svg'
this.category = 'Chains'

View File

@ -8,6 +8,7 @@ import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler
class VectorDBQAChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -18,6 +19,7 @@ class VectorDBQAChain_Chains implements INode {
constructor() {
this.label = 'VectorDB QA Chain'
this.name = 'vectorDBQAChain'
this.version = 1.0
this.type = 'VectorDBQAChain'
this.icon = 'chain.svg'
this.category = 'Chains'

View File

@ -1,5 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
</svg>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 48 48" width="96px" height="96px"><path fill="#035bda" d="M46 40L29.317 10.852 22.808 23.96 34.267 37.24 13 39.655zM13.092 18.182L2 36.896 11.442 35.947 28.033 5.678z"/></svg>

Before

Width:  |  Height:  |  Size: 392 B

After

Width:  |  Height:  |  Size: 229 B

View File

@ -1,32 +1,36 @@
import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
class AzureChatOpenAI_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Azure ChatOpenAI'
this.name = 'azureChatOpenAI'
this.version = 1.0
this.type = 'AzureChatOpenAI'
this.icon = 'Azure.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Azure OpenAI large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi']
}
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -56,33 +60,15 @@ class AzureChatOpenAI_ChatModels implements INode {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'string',
placeholder: '2023-06-01-preview',
description:
'Description of Supported API Versions. Please refer <a target="_blank" href="https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#chat-completions">examples</a>'
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -90,6 +76,7 @@ class AzureChatOpenAI_ChatModels implements INode {
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -97,6 +84,7 @@ class AzureChatOpenAI_ChatModels implements INode {
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -104,25 +92,28 @@ class AzureChatOpenAI_ChatModels implements INode {
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const modelName = nodeData.inputs?.modelName as string
const temperature = nodeData.inputs?.temperature as string
const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
const maxTokens = nodeData.inputs?.maxTokens as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const streaming = nodeData.inputs?.streaming as boolean
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
const azureOpenAIApiInstanceName = getCredentialParam('azureOpenAIApiInstanceName', credentialData, nodeData)
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIBaseInput> = {
temperature: parseFloat(temperature),
modelName,
@ -134,8 +125,8 @@ class AzureChatOpenAI_ChatModels implements INode {
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new ChatOpenAI(obj)

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { AnthropicInput, ChatAnthropic } from 'langchain/chat_models/anthropic'
class ChatAnthropic_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatAnthropic'
this.name = 'chatAnthropic'
this.version = 1.0
this.type = 'ChatAnthropic'
this.icon = 'chatAnthropic.png'
this.category = 'Chat Models'
this.description = 'Wrapper around ChatAnthropic large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatAnthropic)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['anthropicApi']
}
this.inputs = [
{
label: 'ChatAnthropic Api Key',
name: 'anthropicApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -86,13 +90,14 @@ class ChatAnthropic_ChatModels implements INode {
name: 'claude-instant-v1.1-100k'
}
],
default: 'claude-v1',
default: 'claude-2',
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
@ -100,6 +105,7 @@ class ChatAnthropic_ChatModels implements INode {
label: 'Max Tokens',
name: 'maxTokensToSample',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -107,6 +113,7 @@ class ChatAnthropic_ChatModels implements INode {
label: 'Top P',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -114,21 +121,24 @@ class ChatAnthropic_ChatModels implements INode {
label: 'Top K',
name: 'topK',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const anthropicApiKey = nodeData.inputs?.anthropicApiKey as string
const maxTokensToSample = nodeData.inputs?.maxTokensToSample as string
const topP = nodeData.inputs?.topP as string
const topK = nodeData.inputs?.topK as string
const streaming = nodeData.inputs?.streaming as boolean
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
const obj: Partial<AnthropicInput> & { anthropicApiKey?: string } = {
temperature: parseFloat(temperature),
modelName,
@ -137,8 +147,8 @@ class ChatAnthropic_ChatModels implements INode {
}
if (maxTokensToSample) obj.maxTokensToSample = parseInt(maxTokensToSample, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (topK) obj.topK = parseInt(topK, 10)
if (topP) obj.topP = parseFloat(topP)
if (topK) obj.topK = parseFloat(topK)
const model = new ChatAnthropic(obj)
return model

View File

@ -1,41 +1,56 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { HFInput, HuggingFaceInference } from './core'
class ChatHuggingFace_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatHuggingFace'
this.name = 'chatHuggingFace'
this.version = 1.0
this.type = 'ChatHuggingFace'
this.icon = 'huggingface.png'
this.category = 'Chat Models'
this.description = 'Wrapper around HuggingFace large language models'
this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(HuggingFaceInference)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['huggingFaceApi']
}
this.inputs = [
{
label: 'Model',
name: 'model',
type: 'string',
placeholder: 'gpt2'
description: 'If using own inference endpoint, leave this blank',
placeholder: 'gpt2',
optional: true
},
{
label: 'HuggingFace Api Key',
name: 'apiKey',
type: 'password'
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
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
description: 'Temperature parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -44,6 +59,7 @@ class ChatHuggingFace_ChatModels implements INode {
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
description: 'Max Tokens parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -52,6 +68,7 @@ class ChatHuggingFace_ChatModels implements INode {
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
description: 'Top Probability parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -60,6 +77,7 @@ class ChatHuggingFace_ChatModels implements INode {
label: 'Top K',
name: 'hfTopK',
type: 'number',
step: 0.1,
description: 'Top K parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -68,25 +86,16 @@ class ChatHuggingFace_ChatModels implements INode {
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
description: 'Frequency Penalty parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
},
{
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,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const model = nodeData.inputs?.model as string
const apiKey = nodeData.inputs?.apiKey as string
const temperature = nodeData.inputs?.temperature as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
@ -94,16 +103,19 @@ class ChatHuggingFace_ChatModels implements INode {
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const endpoint = nodeData.inputs?.endpoint as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
const obj: Partial<HFInput> = {
model,
apiKey
apiKey: huggingFaceApiKey
}
if (temperature) obj.temperature = parseFloat(temperature)
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (hfTopK) obj.topK = parseInt(hfTopK, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (topP) obj.topP = parseFloat(topP)
if (hfTopK) obj.topK = parseFloat(hfTopK)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (endpoint) obj.endpoint = endpoint
const huggingFace = new HuggingFaceInference(obj)

View File

@ -6,6 +6,7 @@ import { OpenAIChatInput } from 'langchain/chat_models/openai'
class ChatLocalAI_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -16,6 +17,7 @@ class ChatLocalAI_ChatModels implements INode {
constructor() {
this.label = 'ChatLocalAI'
this.name = 'chatLocalAI'
this.version = 1.0
this.type = 'ChatLocalAI'
this.icon = 'localai.png'
this.category = 'Chat Models'
@ -38,6 +40,7 @@ class ChatLocalAI_ChatModels implements INode {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
@ -45,6 +48,7 @@ class ChatLocalAI_ChatModels implements INode {
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -52,6 +56,7 @@ class ChatLocalAI_ChatModels implements INode {
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -59,6 +64,7 @@ class ChatLocalAI_ChatModels implements INode {
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
}
@ -80,7 +86,7 @@ class ChatLocalAI_ChatModels implements INode {
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (topP) obj.topP = parseFloat(topP)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new OpenAIChat(obj, { basePath })

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai'
class ChatOpenAI_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatOpenAI'
this.name = 'chatOpenAI'
this.version = 1.0
this.type = 'ChatOpenAI'
this.icon = 'openai.png'
this.category = 'Chat Models'
this.description = 'Wrapper around OpenAI large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openAIApi']
}
this.inputs = [
{
label: 'OpenAI Api Key',
name: 'openAIApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -71,6 +75,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
@ -78,6 +83,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -85,6 +91,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -92,6 +99,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -99,6 +107,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -106,6 +115,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -119,10 +129,9 @@ class ChatOpenAI_ChatModels implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const openAIApiKey = nodeData.inputs?.openAIApiKey as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
@ -131,6 +140,9 @@ class ChatOpenAI_ChatModels implements INode {
const streaming = nodeData.inputs?.streaming as boolean
const basePath = nodeData.inputs?.basepath as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
temperature: parseFloat(temperature),
modelName,
@ -139,9 +151,9 @@ class ChatOpenAI_ChatModels implements INode {
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
if (topP) obj.topP = parseFloat(topP)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new ChatOpenAI(obj, {

View File

@ -7,6 +7,7 @@ import axios, { AxiosRequestConfig } from 'axios'
class API_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -17,6 +18,7 @@ class API_DocumentLoaders implements INode {
constructor() {
this.label = 'API Loader'
this.name = 'apiLoader'
this.version = 1.0
this.type = 'Document'
this.icon = 'api-loader.png'
this.category = 'Document Loaders'

View File

@ -3,25 +3,35 @@ import { TextSplitter } from 'langchain/text_splitter'
import { BaseDocumentLoader } from 'langchain/document_loaders/base'
import { Document } from 'langchain/document'
import axios from 'axios'
import { getCredentialData, getCredentialParam } from '../../../src/utils'
class Airtable_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs?: INodeParams[]
constructor() {
this.label = 'Airtable'
this.name = 'airtable'
this.version = 1.0
this.type = 'Document'
this.icon = 'airtable.svg'
this.category = 'Document Loaders'
this.description = `Load data from Airtable table`
this.baseClasses = [this.type]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['airtableApi']
}
this.inputs = [
{
label: 'Text Splitter',
@ -29,13 +39,6 @@ class Airtable_DocumentLoaders implements INode {
type: 'TextSplitter',
optional: true
},
{
label: 'Personal Access Token',
name: 'accessToken',
type: 'password',
description:
'Get personal access token from <a target="_blank" href="https://airtable.com/developers/web/guides/personal-access-tokens">official guide</a>'
},
{
label: 'Base Id',
name: 'baseId',
@ -65,7 +68,6 @@ class Airtable_DocumentLoaders implements INode {
name: 'limit',
type: 'number',
default: 100,
step: 1,
additionalParams: true,
description: 'Number of results to return'
},
@ -78,8 +80,7 @@ class Airtable_DocumentLoaders implements INode {
}
]
}
async init(nodeData: INodeData): Promise<any> {
const accessToken = nodeData.inputs?.accessToken as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const baseId = nodeData.inputs?.baseId as string
const tableId = nodeData.inputs?.tableId as string
const returnAll = nodeData.inputs?.returnAll as boolean
@ -87,7 +88,10 @@ class Airtable_DocumentLoaders implements INode {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const metadata = nodeData.inputs?.metadata
const options: AirtableLoaderParams = {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessToken = getCredentialParam('accessToken', credentialData, nodeData)
const airtableOptions: AirtableLoaderParams = {
baseId,
tableId,
returnAll,
@ -95,7 +99,7 @@ class Airtable_DocumentLoaders implements INode {
limit: limit ? parseInt(limit, 10) : 100
}
const loader = new AirtableLoader(options)
const loader = new AirtableLoader(airtableOptions)
let docs = []

View File

@ -7,6 +7,7 @@ import { webCrawl, xmlScrape } from '../../../src'
class Cheerio_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -17,6 +18,7 @@ class Cheerio_DocumentLoaders implements INode {
constructor() {
this.label = 'Cheerio Web Scraper'
this.name = 'cheerioWebScraper'
this.version = 1.0
this.type = 'Document'
this.icon = 'cheerio.svg'
this.category = 'Document Loaders'

View File

@ -1,25 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { ConfluencePagesLoader, ConfluencePagesLoaderParams } from 'langchain/document_loaders/web/confluence'
import { getCredentialData, getCredentialParam } from '../../../src'
class Confluence_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Confluence'
this.name = 'confluence'
this.version = 1.0
this.type = 'Document'
this.icon = 'confluence.png'
this.category = 'Document Loaders'
this.description = `Load data from a Confluence Document`
this.baseClasses = [this.type]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['confluenceApi']
}
this.inputs = [
{
label: 'Text Splitter',
@ -27,18 +37,6 @@ class Confluence_DocumentLoaders implements INode {
type: 'TextSplitter',
optional: true
},
{
label: 'Username',
name: 'username',
type: 'string',
placeholder: '<CONFLUENCE_USERNAME>'
},
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<CONFLUENCE_ACCESS_TOKEN>'
},
{
label: 'Base URL',
name: 'baseUrl',
@ -49,7 +47,9 @@ class Confluence_DocumentLoaders implements INode {
label: 'Space Key',
name: 'spaceKey',
type: 'string',
placeholder: '~EXAMPLE362906de5d343d49dcdbae5dEXAMPLE'
placeholder: '~EXAMPLE362906de5d343d49dcdbae5dEXAMPLE',
description:
'Refer to <a target="_blank" href="https://community.atlassian.com/t5/Confluence-questions/How-to-find-the-key-for-a-space/qaq-p/864760">official guide</a> on how to get Confluence Space Key'
},
{
label: 'Limit',
@ -68,16 +68,18 @@ class Confluence_DocumentLoaders implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const username = nodeData.inputs?.username as string
const accessToken = nodeData.inputs?.accessToken as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const spaceKey = nodeData.inputs?.spaceKey as string
const baseUrl = nodeData.inputs?.baseUrl as string
const limit = nodeData.inputs?.limit as number
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const metadata = nodeData.inputs?.metadata
const options: ConfluencePagesLoaderParams = {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessToken = getCredentialParam('accessToken', credentialData, nodeData)
const username = getCredentialParam('username', credentialData, nodeData)
const confluenceOptions: ConfluencePagesLoaderParams = {
username,
accessToken,
baseUrl,
@ -85,7 +87,7 @@ class Confluence_DocumentLoaders implements INode {
limit
}
const loader = new ConfluencePagesLoader(options)
const loader = new ConfluencePagesLoader(confluenceOptions)
let docs = []

View File

@ -5,6 +5,7 @@ import { CSVLoader } from 'langchain/document_loaders/fs/csv'
class Csv_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Csv_DocumentLoaders implements INode {
constructor() {
this.label = 'Csv File'
this.name = 'csvFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'Csv.png'
this.category = 'Document Loaders'

View File

@ -5,6 +5,7 @@ import { DocxLoader } from 'langchain/document_loaders/fs/docx'
class Docx_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Docx_DocumentLoaders implements INode {
constructor() {
this.label = 'Docx File'
this.name = 'docxFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'Docx.png'
this.category = 'Document Loaders'

View File

@ -1,42 +1,50 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getCredentialData, getCredentialParam } from '../../../src'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { FigmaFileLoader, FigmaLoaderParams } from 'langchain/document_loaders/web/figma'
class Figma_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Figma'
this.name = 'figma'
this.version = 1.0
this.type = 'Document'
this.icon = 'figma.png'
this.icon = 'figma.svg'
this.category = 'Document Loaders'
this.description = 'Load data from a Figma file'
this.baseClasses = [this.type]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['figmaApi']
}
this.inputs = [
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<FIGMA_ACCESS_TOKEN>'
},
{
label: 'File Key',
name: 'fileKey',
type: 'string',
placeholder: 'key'
placeholder: 'key',
description:
'The file key can be read from any Figma file URL: https://www.figma.com/file/:key/:title. For example, in https://www.figma.com/file/12345/Website, the file key is 12345'
},
{
label: 'Node IDs',
name: 'nodeIds',
type: 'string',
placeholder: '0, 1, 2'
placeholder: '0, 1, 2',
description:
'A list of Node IDs, seperated by comma. Refer to <a target="_blank" href="https://www.figma.com/community/plugin/758276196886757462/Node-Inspector">official guide</a> on how to get Node IDs'
},
{
label: 'Recursive',
@ -60,18 +68,20 @@ class Figma_DocumentLoaders implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const accessToken = nodeData.inputs?.accessToken as string
const nodeIds = (nodeData.inputs?.nodeIds as string)?.split(',') || []
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const nodeIds = (nodeData.inputs?.nodeIds as string)?.trim().split(',') || []
const fileKey = nodeData.inputs?.fileKey as string
const options: FigmaLoaderParams = {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessToken = getCredentialParam('accessToken', credentialData, nodeData)
const figmaOptions: FigmaLoaderParams = {
accessToken,
nodeIds,
fileKey
}
const loader = new FigmaFileLoader(options)
const loader = new FigmaFileLoader(figmaOptions)
const docs = await loader.load()
return docs

Binary file not shown.

Before

Width:  |  Height:  |  Size: 172 KiB

View File

@ -0,0 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 48 48" width="96px" height="96px"><path fill="#e64a19" d="M26,17h-8c-3.866,0-7-3.134-7-7v0c0-3.866,3.134-7,7-7h8V17z"/><path fill="#7c4dff" d="M25,31h-7c-3.866,0-7-3.134-7-7v0c0-3.866,3.134-7,7-7h7V31z"/><path fill="#66bb6a" d="M18,45L18,45c-3.866,0-7-3.134-7-7v0c0-3.866,3.134-7,7-7h7v7C25,41.866,21.866,45,18,45z"/><path fill="#ff7043" d="M32,17h-7V3h7c3.866,0,7,3.134,7,7v0C39,13.866,35.866,17,32,17z"/><circle cx="32" cy="24" r="7" fill="#29b6f6"/></svg>

After

Width:  |  Height:  |  Size: 512 B

View File

@ -10,6 +10,7 @@ import { DocxLoader } from 'langchain/document_loaders/fs/docx'
class Folder_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -20,6 +21,7 @@ class Folder_DocumentLoaders implements INode {
constructor() {
this.label = 'Folder with Files'
this.name = 'folderFiles'
this.version = 1.0
this.type = 'Document'
this.icon = 'folder.svg'
this.category = 'Document Loaders'

View File

@ -5,6 +5,7 @@ import { GitbookLoader } from 'langchain/document_loaders/web/gitbook'
class Gitbook_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Gitbook_DocumentLoaders implements INode {
constructor() {
this.label = 'GitBook'
this.name = 'gitbook'
this.version = 1.0
this.type = 'Document'
this.icon = 'gitbook.svg'
this.category = 'Document Loaders'

View File

@ -1,25 +1,37 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { GithubRepoLoader, GithubRepoLoaderParams } from 'langchain/document_loaders/web/github'
import { getCredentialData, getCredentialParam } from '../../../src'
class Github_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Github'
this.name = 'github'
this.version = 1.0
this.type = 'Document'
this.icon = 'github.png'
this.category = 'Document Loaders'
this.description = `Load data from a GitHub repository`
this.baseClasses = [this.type]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
description: 'Only needed when accessing private repo',
optional: true,
credentialNames: ['githubApi']
}
this.inputs = [
{
label: 'Repo Link',
@ -33,13 +45,6 @@ class Github_DocumentLoaders implements INode {
type: 'string',
default: 'main'
},
{
label: 'Access Token',
name: 'accessToken',
type: 'password',
placeholder: '<GITHUB_ACCESS_TOKEN>',
optional: true
},
{
label: 'Recursive',
name: 'recursive',
@ -62,23 +67,25 @@ class Github_DocumentLoaders implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const repoLink = nodeData.inputs?.repoLink as string
const branch = nodeData.inputs?.branch as string
const recursive = nodeData.inputs?.recursive as boolean
const accessToken = nodeData.inputs?.accessToken as string
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const metadata = nodeData.inputs?.metadata
const options: GithubRepoLoaderParams = {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessToken = getCredentialParam('accessToken', credentialData, nodeData)
const githubOptions: GithubRepoLoaderParams = {
branch,
recursive,
unknown: 'warn'
}
if (accessToken) options.accessToken = accessToken
if (accessToken) githubOptions.accessToken = accessToken
const loader = new GithubRepoLoader(repoLink, options)
const loader = new GithubRepoLoader(repoLink, githubOptions)
const docs = textSplitter ? await loader.loadAndSplit(textSplitter) : await loader.load()
if (metadata) {

View File

@ -5,6 +5,7 @@ import { JSONLoader } from 'langchain/document_loaders/fs/json'
class Json_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Json_DocumentLoaders implements INode {
constructor() {
this.label = 'Json File'
this.name = 'jsonFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'json.svg'
this.category = 'Document Loaders'

View File

@ -5,6 +5,7 @@ import { JSONLinesLoader } from 'langchain/document_loaders/fs/json'
class Jsonlines_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Jsonlines_DocumentLoaders implements INode {
constructor() {
this.label = 'Json Lines File'
this.name = 'jsonlinesFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'jsonlines.svg'
this.category = 'Document Loaders'

View File

@ -1,25 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { NotionAPILoader, NotionAPILoaderOptions } from 'langchain/document_loaders/web/notionapi'
import { getCredentialData, getCredentialParam } from '../../../src'
class NotionDB_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Notion Database'
this.name = 'notionDB'
this.version = 1.0
this.type = 'Document'
this.icon = 'notion.png'
this.category = 'Document Loaders'
this.description = 'Load data from Notion Database (each row is a separate document with all properties as metadata)'
this.baseClasses = [this.type]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['notionApi']
}
this.inputs = [
{
label: 'Text Splitter',
@ -27,13 +37,6 @@ class NotionDB_DocumentLoaders implements INode {
type: 'TextSplitter',
optional: true
},
{
label: 'Notion Integration Token',
name: 'notionIntegrationToken',
type: 'password',
description:
'You can find integration token <a target="_blank" href="https://developers.notion.com/docs/create-a-notion-integration#step-1-create-an-integration">here</a>'
},
{
label: 'Notion Database Id',
name: 'databaseId',
@ -50,11 +53,13 @@ class NotionDB_DocumentLoaders implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const databaseId = nodeData.inputs?.databaseId as string
const metadata = nodeData.inputs?.metadata
const notionIntegrationToken = nodeData.inputs?.notionIntegrationToken as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const notionIntegrationToken = getCredentialParam('notionIntegrationToken', credentialData, nodeData)
const obj: NotionAPILoaderOptions = {
clientOptions: {

View File

@ -5,6 +5,7 @@ import { NotionLoader } from 'langchain/document_loaders/fs/notion'
class NotionFolder_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class NotionFolder_DocumentLoaders implements INode {
constructor() {
this.label = 'Notion Folder'
this.name = 'notionFolder'
this.version = 1.0
this.type = 'Document'
this.icon = 'notion.png'
this.category = 'Document Loaders'

View File

@ -1,25 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { NotionAPILoader, NotionAPILoaderOptions } from 'langchain/document_loaders/web/notionapi'
import { getCredentialData, getCredentialParam } from '../../../src'
class NotionPage_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Notion Page'
this.name = 'notionPage'
this.version = 1.0
this.type = 'Document'
this.icon = 'notion.png'
this.category = 'Document Loaders'
this.description = 'Load data from Notion Page (including child pages all as separate documents)'
this.baseClasses = [this.type]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['notionApi']
}
this.inputs = [
{
label: 'Text Splitter',
@ -27,13 +37,6 @@ class NotionPage_DocumentLoaders implements INode {
type: 'TextSplitter',
optional: true
},
{
label: 'Notion Integration Token',
name: 'notionIntegrationToken',
type: 'password',
description:
'You can find integration token <a target="_blank" href="https://developers.notion.com/docs/create-a-notion-integration#step-1-create-an-integration">here</a>'
},
{
label: 'Notion Page Id',
name: 'pageId',
@ -51,11 +54,13 @@ class NotionPage_DocumentLoaders implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const pageId = nodeData.inputs?.pageId as string
const metadata = nodeData.inputs?.metadata
const notionIntegrationToken = nodeData.inputs?.notionIntegrationToken as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const notionIntegrationToken = getCredentialParam('notionIntegrationToken', credentialData, nodeData)
const obj: NotionAPILoaderOptions = {
clientOptions: {

View File

@ -5,6 +5,7 @@ import { PDFLoader } from 'langchain/document_loaders/fs/pdf'
class Pdf_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Pdf_DocumentLoaders implements INode {
constructor() {
this.label = 'Pdf File'
this.name = 'pdfFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'pdf.svg'
this.category = 'Document Loaders'

View File

@ -7,6 +7,7 @@ import { webCrawl, xmlScrape } from '../../../src'
class Playwright_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -17,6 +18,7 @@ class Playwright_DocumentLoaders implements INode {
constructor() {
this.label = 'Playwright Web Scraper'
this.name = 'playwrightWebScraper'
this.version = 1.0
this.type = 'Document'
this.icon = 'playwright.svg'
this.category = 'Document Loaders'

View File

@ -7,6 +7,7 @@ import { webCrawl, xmlScrape } from '../../../src'
class Puppeteer_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -17,6 +18,7 @@ class Puppeteer_DocumentLoaders implements INode {
constructor() {
this.label = 'Puppeteer Web Scraper'
this.name = 'puppeteerWebScraper'
this.version = 1.0
this.type = 'Document'
this.icon = 'puppeteer.svg'
this.category = 'Document Loaders'

View File

@ -5,6 +5,7 @@ import { SRTLoader } from 'langchain/document_loaders/fs/srt'
class Subtitles_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Subtitles_DocumentLoaders implements INode {
constructor() {
this.label = 'Subtitles File'
this.name = 'subtitlesFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'subtitlesFile.svg'
this.category = 'Document Loaders'

View File

@ -5,6 +5,7 @@ import { TextLoader } from 'langchain/document_loaders/fs/text'
class Text_DocumentLoaders implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class Text_DocumentLoaders implements INode {
constructor() {
this.label = 'Text File'
this.name = 'textFile'
this.version = 1.0
this.type = 'Document'
this.icon = 'textFile.svg'
this.category = 'Document Loaders'

View File

@ -1,5 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
</svg>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 48 48" width="96px" height="96px"><path fill="#035bda" d="M46 40L29.317 10.852 22.808 23.96 34.267 37.24 13 39.655zM13.092 18.182L2 36.896 11.442 35.947 28.033 5.678z"/></svg>

Before

Width:  |  Height:  |  Size: 392 B

After

Width:  |  Height:  |  Size: 229 B

View File

@ -1,52 +1,36 @@
import { AzureOpenAIInput } from 'langchain/chat_models/openai'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
class AzureOpenAIEmbedding_Embeddings implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI Embeddings'
this.name = 'azureOpenAIEmbeddings'
this.version = 1.0
this.type = 'AzureOpenAIEmbeddings'
this.icon = 'Azure.svg'
this.category = 'Embeddings'
this.description = 'Azure OpenAI API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi']
}
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password'
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'string',
placeholder: '2023-03-15-preview',
description:
'Description of Supported API Versions. Please refer <a target="_blank" href="https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#embeddings">examples</a>'
},
{
label: 'Batch Size',
name: 'batchSize',
@ -65,14 +49,16 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const batchSize = nodeData.inputs?.batchSize as string
const timeout = nodeData.inputs?.timeout as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
const azureOpenAIApiInstanceName = getCredentialParam('azureOpenAIApiInstanceName', credentialData, nodeData)
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> = {
azureOpenAIApiKey,
azureOpenAIApiInstanceName,

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { CohereEmbeddings, CohereEmbeddingsParams } from 'langchain/embeddings/cohere'
class CohereEmbedding_Embeddings implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Cohere Embeddings'
this.name = 'cohereEmbeddings'
this.version = 1.0
this.type = 'CohereEmbeddings'
this.icon = 'cohere.png'
this.category = 'Embeddings'
this.description = 'Cohere API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(CohereEmbeddings)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['cohereApi']
}
this.inputs = [
{
label: 'Cohere API Key',
name: 'cohereApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -50,12 +54,14 @@ class CohereEmbedding_Embeddings implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const apiKey = nodeData.inputs?.cohereApiKey as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const modelName = nodeData.inputs?.modelName as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const cohereApiKey = getCredentialParam('cohereApiKey', credentialData, nodeData)
const obj: Partial<CohereEmbeddingsParams> & { apiKey?: string } = {
apiKey
apiKey: cohereApiKey
}
if (modelName) obj.modelName = modelName

View File

@ -1,35 +1,41 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { HuggingFaceInferenceEmbeddings, HuggingFaceInferenceEmbeddingsParams } from './core'
class HuggingFaceInferenceEmbedding_Embeddings implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'HuggingFace Inference Embeddings'
this.name = 'huggingFaceInferenceEmbeddings'
this.version = 1.0
this.type = 'HuggingFaceInferenceEmbeddings'
this.icon = 'huggingface.png'
this.category = 'Embeddings'
this.description = 'HuggingFace Inference API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInferenceEmbeddings)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['huggingFaceApi']
}
this.inputs = [
{
label: 'HuggingFace Api Key',
name: 'apiKey',
type: 'password'
},
{
label: 'Model',
name: 'modelName',
type: 'string',
description: 'If using own inference endpoint, leave this blank',
placeholder: 'sentence-transformers/distilbert-base-nli-mean-tokens',
optional: true
},
{
@ -43,13 +49,15 @@ class HuggingFaceInferenceEmbedding_Embeddings implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const apiKey = nodeData.inputs?.apiKey as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const modelName = nodeData.inputs?.modelName as string
const endpoint = nodeData.inputs?.endpoint as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
const obj: Partial<HuggingFaceInferenceEmbeddingsParams> = {
apiKey
apiKey: huggingFaceApiKey
}
if (modelName) obj.model = modelName

View File

@ -4,6 +4,7 @@ import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/o
class LocalAIEmbedding_Embeddings implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
@ -14,6 +15,7 @@ class LocalAIEmbedding_Embeddings implements INode {
constructor() {
this.label = 'LocalAI Embeddings'
this.name = 'localAIEmbeddings'
this.version = 1.0
this.type = 'LocalAI Embeddings'
this.icon = 'localai.png'
this.category = 'Embeddings'

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
class OpenAIEmbedding_Embeddings implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'OpenAI Embeddings'
this.name = 'openAIEmbeddings'
this.version = 1.0
this.type = 'OpenAIEmbeddings'
this.icon = 'openai.png'
this.category = 'Embeddings'
this.description = 'OpenAI API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openAIApi']
}
this.inputs = [
{
label: 'OpenAI Api Key',
name: 'openAIApiKey',
type: 'password'
},
{
label: 'Strip New Lines',
name: 'stripNewLines',
@ -57,13 +61,15 @@ class OpenAIEmbedding_Embeddings implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const openAIApiKey = nodeData.inputs?.openAIApiKey as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const stripNewLines = nodeData.inputs?.stripNewLines as boolean
const batchSize = nodeData.inputs?.batchSize as string
const timeout = nodeData.inputs?.timeout as string
const basePath = nodeData.inputs?.basepath as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
openAIApiKey
}

View File

@ -1,5 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
</svg>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 48 48" width="96px" height="96px"><path fill="#035bda" d="M46 40L29.317 10.852 22.808 23.96 34.267 37.24 13 39.655zM13.092 18.182L2 36.896 11.442 35.947 28.033 5.678z"/></svg>

Before

Width:  |  Height:  |  Size: 392 B

After

Width:  |  Height:  |  Size: 229 B

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
class AzureOpenAI_LLMs implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI'
this.name = 'azureOpenAI'
this.version = 1.0
this.type = 'AzureOpenAI'
this.icon = 'Azure.svg'
this.category = 'LLMs'
this.description = 'Wrapper around Azure OpenAI large language models'
this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi']
}
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -87,33 +91,15 @@ class AzureOpenAI_LLMs implements INode {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'string',
placeholder: '2023-06-01-preview',
description:
'Description of Supported API Versions. Please refer <a target="_blank" href="https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#completions">examples</a>'
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -121,6 +107,7 @@ class AzureOpenAI_LLMs implements INode {
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -128,6 +115,7 @@ class AzureOpenAI_LLMs implements INode {
label: 'Best Of',
name: 'bestOf',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -135,6 +123,7 @@ class AzureOpenAI_LLMs implements INode {
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -142,6 +131,7 @@ class AzureOpenAI_LLMs implements INode {
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -149,19 +139,16 @@ class AzureOpenAI_LLMs implements INode {
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
@ -170,6 +157,12 @@ class AzureOpenAI_LLMs implements INode {
const bestOf = nodeData.inputs?.bestOf as string
const streaming = nodeData.inputs?.streaming as boolean
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
const azureOpenAIApiInstanceName = getCredentialParam('azureOpenAIApiInstanceName', credentialData, nodeData)
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIInput> = {
temperature: parseFloat(temperature),
modelName,
@ -181,9 +174,9 @@ class AzureOpenAI_LLMs implements INode {
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
if (topP) obj.topP = parseFloat(topP)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (bestOf) obj.bestOf = parseInt(bestOf, 10)

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { Cohere, CohereInput } from './core'
class Cohere_LLMs implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Cohere'
this.name = 'cohere'
this.version = 1.0
this.type = 'Cohere'
this.icon = 'cohere.png'
this.category = 'LLMs'
this.description = 'Wrapper around Cohere large language models'
this.baseClasses = [this.type, ...getBaseClasses(Cohere)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['cohereApi']
}
this.inputs = [
{
label: 'Cohere Api Key',
name: 'cohereApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -63,6 +67,7 @@ class Cohere_LLMs implements INode {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.7,
optional: true
},
@ -70,19 +75,22 @@ class Cohere_LLMs implements INode {
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const apiKey = nodeData.inputs?.cohereApiKey as string
const maxTokens = nodeData.inputs?.maxTokens as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const cohereApiKey = getCredentialParam('cohereApiKey', credentialData, nodeData)
const obj: CohereInput = {
apiKey
apiKey: cohereApiKey
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)

View File

@ -1,41 +1,56 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { HFInput, HuggingFaceInference } from './core'
class HuggingFaceInference_LLMs implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'HuggingFace Inference'
this.name = 'huggingFaceInference_LLMs'
this.version = 1.0
this.type = 'HuggingFaceInference'
this.icon = 'huggingface.png'
this.category = 'LLMs'
this.description = 'Wrapper around HuggingFace large language models'
this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInference)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['huggingFaceApi']
}
this.inputs = [
{
label: 'Model',
name: 'model',
type: 'string',
placeholder: 'gpt2'
description: 'If using own inference endpoint, leave this blank',
placeholder: 'gpt2',
optional: true
},
{
label: 'HuggingFace Api Key',
name: 'apiKey',
type: 'password'
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
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
description: 'Temperature parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -44,6 +59,7 @@ class HuggingFaceInference_LLMs implements INode {
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
description: 'Max Tokens parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -52,6 +68,7 @@ class HuggingFaceInference_LLMs implements INode {
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
description: 'Top Probability parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -60,6 +77,7 @@ class HuggingFaceInference_LLMs implements INode {
label: 'Top K',
name: 'hfTopK',
type: 'number',
step: 0.1,
description: 'Top K parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
@ -68,25 +86,16 @@ class HuggingFaceInference_LLMs implements INode {
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
description: 'Frequency Penalty parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
},
{
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,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const model = nodeData.inputs?.model as string
const apiKey = nodeData.inputs?.apiKey as string
const temperature = nodeData.inputs?.temperature as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
@ -94,16 +103,19 @@ class HuggingFaceInference_LLMs implements INode {
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const endpoint = nodeData.inputs?.endpoint as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
const obj: Partial<HFInput> = {
model,
apiKey
apiKey: huggingFaceApiKey
}
if (temperature) obj.temperature = parseFloat(temperature)
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (hfTopK) obj.topK = parseInt(hfTopK, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (topP) obj.topP = parseFloat(topP)
if (hfTopK) obj.topK = parseFloat(hfTopK)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (endpoint) obj.endpoint = endpoint
const huggingFace = new HuggingFaceInference(obj)

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { OpenAI, OpenAIInput } from 'langchain/llms/openai'
class OpenAI_LLMs implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'OpenAI'
this.name = 'openAI'
this.version = 1.0
this.type = 'OpenAI'
this.icon = 'openai.png'
this.category = 'LLMs'
this.description = 'Wrapper around OpenAI large language models'
this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openAIApi']
}
this.inputs = [
{
label: 'OpenAI Api Key',
name: 'openAIApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
@ -55,6 +59,7 @@ class OpenAI_LLMs implements INode {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.7,
optional: true
},
@ -62,6 +67,7 @@ class OpenAI_LLMs implements INode {
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -69,6 +75,7 @@ class OpenAI_LLMs implements INode {
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -76,6 +83,7 @@ class OpenAI_LLMs implements INode {
label: 'Best Of',
name: 'bestOf',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -83,6 +91,7 @@ class OpenAI_LLMs implements INode {
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -90,6 +99,7 @@ class OpenAI_LLMs implements INode {
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
@ -97,6 +107,7 @@ class OpenAI_LLMs implements INode {
label: 'Batch Size',
name: 'batchSize',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -104,6 +115,7 @@ class OpenAI_LLMs implements INode {
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
@ -117,10 +129,9 @@ class OpenAI_LLMs implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const openAIApiKey = nodeData.inputs?.openAIApiKey as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
@ -131,6 +142,9 @@ class OpenAI_LLMs implements INode {
const streaming = nodeData.inputs?.streaming as boolean
const basePath = nodeData.inputs?.basepath as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
const obj: Partial<OpenAIInput> & { openAIApiKey?: string } = {
temperature: parseFloat(temperature),
modelName,
@ -139,9 +153,9 @@ class OpenAI_LLMs implements INode {
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
if (topP) obj.topP = parseFloat(topP)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (batchSize) obj.batchSize = parseInt(batchSize, 10)
if (bestOf) obj.bestOf = parseInt(bestOf, 10)

View File

@ -1,31 +1,35 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { Replicate, ReplicateInput } from 'langchain/llms/replicate'
class Replicate_LLMs implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Replicate'
this.name = 'replicate'
this.version = 1.0
this.type = 'Replicate'
this.icon = 'replicate.svg'
this.category = 'LLMs'
this.description = 'Use Replicate to run open source models on cloud'
this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(Replicate)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['replicateApi']
}
this.inputs = [
{
label: 'Replicate Api Key',
name: 'replicateApiKey',
type: 'password'
},
{
label: 'Model',
name: 'model',
@ -37,6 +41,7 @@ class Replicate_LLMs implements INode {
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,
@ -46,6 +51,7 @@ class Replicate_LLMs implements INode {
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
@ -54,6 +60,7 @@ class Replicate_LLMs implements INode {
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,
@ -63,6 +70,7 @@ class Replicate_LLMs implements INode {
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,
@ -80,15 +88,17 @@ class Replicate_LLMs implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const modelName = nodeData.inputs?.model as string
const apiKey = nodeData.inputs?.replicateApiKey as string
const temperature = nodeData.inputs?.temperature as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const repetitionPenalty = nodeData.inputs?.repetitionPenalty as string
const additionalInputs = nodeData.inputs?.additionalInputs as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
const version = modelName.split(':').pop()
const name = modelName.split(':')[0].split('/').pop()
const org = modelName.split(':')[0].split('/')[0]

View File

@ -5,6 +5,7 @@ import { BufferMemory } from 'langchain/memory'
class BufferMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class BufferMemory_Memory implements INode {
constructor() {
this.label = 'Buffer Memory'
this.name = 'bufferMemory'
this.version = 1.0
this.type = 'BufferMemory'
this.icon = 'memory.svg'
this.category = 'Memory'

View File

@ -5,6 +5,7 @@ import { BufferWindowMemory, BufferWindowMemoryInput } from 'langchain/memory'
class BufferWindowMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class BufferWindowMemory_Memory implements INode {
constructor() {
this.label = 'Buffer Window Memory'
this.name = 'bufferWindowMemory'
this.version = 1.0
this.type = 'BufferWindowMemory'
this.icon = 'memory.svg'
this.category = 'Memory'

View File

@ -6,6 +6,7 @@ import { BaseLanguageModel } from 'langchain/base_language'
class ConversationSummaryMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -16,6 +17,7 @@ class ConversationSummaryMemory_Memory implements INode {
constructor() {
this.label = 'Conversation Summary Memory'
this.name = 'conversationSummaryMemory'
this.version = 1.0
this.type = 'ConversationSummaryMemory'
this.icon = 'memory.svg'
this.category = 'Memory'

View File

@ -1,25 +1,34 @@
import { ICommonObject, INode, INodeData, INodeParams, getBaseClasses } from '../../../src'
import { ICommonObject, INode, INodeData, INodeParams, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src'
import { DynamoDBChatMessageHistory } from 'langchain/stores/message/dynamodb'
import { BufferMemory } from 'langchain/memory'
class DynamoDb_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'DynamoDB Chat Memory'
this.name = 'DynamoDBChatMemory'
this.version = 1.0
this.type = 'DynamoDBChatMemory'
this.icon = 'dynamodb.svg'
this.category = 'Memory'
this.description = 'Stores the conversation in dynamo db table'
this.baseClasses = [this.type, ...getBaseClasses(BufferMemory)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['dynamodbMemoryApi']
}
this.inputs = [
{
label: 'Table Name',
@ -31,6 +40,13 @@ class DynamoDb_Memory implements INode {
name: 'partitionKey',
type: 'string'
},
{
label: 'Region',
name: 'region',
type: 'string',
description: 'The aws region in which table is located',
placeholder: 'us-east-1'
},
{
label: 'Session ID',
name: 'sessionId',
@ -40,28 +56,12 @@ class DynamoDb_Memory implements INode {
additionalParams: true,
optional: true
},
{
label: 'Region',
name: 'region',
type: 'string',
description: 'The aws region in which table is located',
placeholder: 'us-east-1'
},
{
label: 'Access Key',
name: 'accessKey',
type: 'password'
},
{
label: 'Secret Access Key',
name: 'secretAccessKey',
type: 'password'
},
{
label: 'Memory Key',
name: 'memoryKey',
type: 'string',
default: 'chat_history'
default: 'chat_history',
additionalParams: true
}
]
}
@ -71,22 +71,24 @@ class DynamoDb_Memory implements INode {
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const dynamodbMemory = initalizeDynamoDB(nodeData, options)
dynamodbMemory.clear()
const dynamodbMemory = await initalizeDynamoDB(nodeData, options)
await dynamodbMemory.clear()
}
}
const initalizeDynamoDB = (nodeData: INodeData, options: ICommonObject): BufferMemory => {
const initalizeDynamoDB = async (nodeData: INodeData, options: ICommonObject): Promise<BufferMemory> => {
const tableName = nodeData.inputs?.tableName as string
const partitionKey = nodeData.inputs?.partitionKey as string
const sessionId = nodeData.inputs?.sessionId as string
const region = nodeData.inputs?.region as string
const accessKey = nodeData.inputs?.accessKey as string
const secretAccessKey = nodeData.inputs?.secretAccessKey as string
const memoryKey = nodeData.inputs?.memoryKey as string
const chatId = options.chatId
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessKeyId = getCredentialParam('accessKey', credentialData, nodeData)
const secretAccessKey = getCredentialParam('secretAccessKey', credentialData, nodeData)
const dynamoDb = new DynamoDBChatMessageHistory({
tableName,
partitionKey,
@ -94,7 +96,7 @@ const initalizeDynamoDB = (nodeData: INodeData, options: ICommonObject): BufferM
config: {
region,
credentials: {
accessKeyId: accessKey,
accessKeyId,
secretAccessKey
}
}

View File

@ -1,26 +1,37 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ICommonObject } from '../../../src'
import { MotorheadMemory, MotorheadMemoryInput } from 'langchain/memory'
class MotorMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Motorhead Memory'
this.name = 'motorheadMemory'
this.version = 1.0
this.type = 'MotorheadMemory'
this.icon = 'motorhead.png'
this.category = 'Memory'
this.description = 'Remembers previous conversational back and forths directly'
this.description = 'Use Motorhead Memory to store chat conversations'
this.baseClasses = [this.type, ...getBaseClasses(MotorheadMemory)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
optional: true,
description: 'Only needed when using hosted solution - https://getmetal.io',
credentialNames: ['motorheadMemoryApi']
}
this.inputs = [
{
label: 'Base URL',
@ -29,12 +40,6 @@ class MotorMemory_Memory implements INode {
optional: true,
description: 'To use the online version, leave the URL blank. More details at https://getmetal.io.'
},
{
label: 'Memory Key',
name: 'memoryKey',
type: 'string',
default: 'chat_history'
},
{
label: 'Session Id',
name: 'sessionId',
@ -45,20 +50,11 @@ class MotorMemory_Memory implements INode {
optional: true
},
{
label: 'API Key',
name: 'apiKey',
type: 'password',
description: 'Only needed when using hosted solution - https://getmetal.io',
additionalParams: true,
optional: true
},
{
label: 'Client ID',
name: 'clientId',
label: 'Memory Key',
name: 'memoryKey',
type: 'string',
description: 'Only needed when using hosted solution - https://getmetal.io',
additionalParams: true,
optional: true
default: 'chat_history',
additionalParams: true
}
]
}
@ -68,20 +64,22 @@ class MotorMemory_Memory implements INode {
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const motorhead = initalizeMotorhead(nodeData, options)
motorhead.clear()
const motorhead = await initalizeMotorhead(nodeData, options)
await motorhead.clear()
}
}
const initalizeMotorhead = (nodeData: INodeData, options: ICommonObject): MotorheadMemory => {
const initalizeMotorhead = async (nodeData: INodeData, options: ICommonObject): Promise<MotorheadMemory> => {
const memoryKey = nodeData.inputs?.memoryKey as string
const baseURL = nodeData.inputs?.baseURL as string
const sessionId = nodeData.inputs?.sessionId as string
const apiKey = nodeData.inputs?.apiKey as string
const clientId = nodeData.inputs?.clientId as string
const chatId = options?.chatId as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
const clientId = getCredentialParam('clientId', credentialData, nodeData)
let obj: MotorheadMemoryInput = {
returnMessages: true,
sessionId: sessionId ? sessionId : chatId,

View File

@ -8,6 +8,7 @@ import { createClient } from 'redis'
class RedisBackedChatMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -18,6 +19,7 @@ class RedisBackedChatMemory_Memory implements INode {
constructor() {
this.label = 'Redis-Backed Chat Memory'
this.name = 'RedisBackedChatMemory'
this.version = 1.0
this.type = 'RedisBackedChatMemory'
this.icon = 'redis.svg'
this.category = 'Memory'
@ -44,13 +46,15 @@ class RedisBackedChatMemory_Memory implements INode {
name: 'sessionTTL',
type: 'number',
description: 'Omit this parameter to make sessions never expire',
additionalParams: true,
optional: true
},
{
label: 'Memory Key',
name: 'memoryKey',
type: 'string',
default: 'chat_history'
default: 'chat_history',
additionalParams: true
}
]
}

View File

@ -1,27 +1,38 @@
import { SystemMessage } from 'langchain/schema'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ZepMemory, ZepMemoryInput } from 'langchain/memory/zep'
import { ICommonObject } from '../../../src'
class ZepMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Zep Memory'
this.name = 'ZepMemory'
this.version = 1.0
this.type = 'ZepMemory'
this.icon = 'zep.png'
this.category = 'Memory'
this.description = 'Summarizes the conversation and stores the memory in zep server'
this.baseClasses = [this.type, ...getBaseClasses(ZepMemory)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
optional: true,
description: 'Configure JWT authentication on your Zep instance (Optional)',
credentialNames: ['zepMemoryApi']
}
this.inputs = [
{
label: 'Base URL',
@ -44,13 +55,6 @@ class ZepMemory_Memory implements INode {
additionalParams: true,
optional: true
},
{
label: 'API Key',
name: 'apiKey',
type: 'password',
additionalParams: true,
optional: true
},
{
label: 'Size',
name: 'k',
@ -106,9 +110,10 @@ class ZepMemory_Memory implements INode {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const autoSummaryTemplate = nodeData.inputs?.autoSummaryTemplate as string
const autoSummary = nodeData.inputs?.autoSummary as boolean
const k = nodeData.inputs?.k as string
let zep = initalizeZep(nodeData, options)
let zep = await initalizeZep(nodeData, options)
// hack to support summary
let tmpFunc = zep.loadMemoryVariables
@ -135,23 +140,24 @@ class ZepMemory_Memory implements INode {
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const zep = initalizeZep(nodeData, options)
zep.clear()
const zep = await initalizeZep(nodeData, options)
await zep.clear()
}
}
const initalizeZep = (nodeData: INodeData, options: ICommonObject) => {
const initalizeZep = async (nodeData: INodeData, options: ICommonObject): Promise<ZepMemory> => {
const baseURL = nodeData.inputs?.baseURL as string
const aiPrefix = nodeData.inputs?.aiPrefix as string
const humanPrefix = nodeData.inputs?.humanPrefix as string
const memoryKey = nodeData.inputs?.memoryKey as string
const inputKey = nodeData.inputs?.inputKey as string
const sessionId = nodeData.inputs?.sessionId as string
const apiKey = nodeData.inputs?.apiKey as string
const chatId = options?.chatId as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
const obj: ZepMemoryInput = {
baseURL,
sessionId: sessionId ? sessionId : chatId,

View File

@ -5,6 +5,7 @@ import { ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemp
class ChatPromptTemplate_Prompts implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class ChatPromptTemplate_Prompts implements INode {
constructor() {
this.label = 'Chat Prompt Template'
this.name = 'chatPromptTemplate'
this.version = 1.0
this.type = 'ChatPromptTemplate'
this.icon = 'prompt.svg'
this.category = 'Prompts'

View File

@ -7,6 +7,7 @@ import { TemplateFormat } from 'langchain/dist/prompts/template'
class FewShotPromptTemplate_Prompts implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -17,6 +18,7 @@ class FewShotPromptTemplate_Prompts implements INode {
constructor() {
this.label = 'Few Shot Prompt Template'
this.name = 'fewShotPromptTemplate'
this.version = 1.0
this.type = 'FewShotPromptTemplate'
this.icon = 'prompt.svg'
this.category = 'Prompts'

View File

@ -5,6 +5,7 @@ import { PromptTemplateInput } from 'langchain/prompts'
class PromptTemplate_Prompts implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -15,6 +16,7 @@ class PromptTemplate_Prompts implements INode {
constructor() {
this.label = 'Prompt Template'
this.name = 'promptTemplate'
this.version = 1.0
this.type = 'PromptTemplate'
this.icon = 'prompt.svg'
this.category = 'Prompts'

View File

@ -7,6 +7,7 @@ import { PromptTemplate } from 'langchain/prompts'
class HydeRetriever_Retrievers implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
@ -17,6 +18,7 @@ class HydeRetriever_Retrievers implements INode {
constructor() {
this.label = 'Hyde Retriever'
this.name = 'HydeRetriever'
this.version = 1.0
this.type = 'HydeRetriever'
this.icon = 'hyderetriever.svg'
this.category = 'Retrievers'

Some files were not shown because too many files have changed in this diff Show More