before_code stringlengths 14 465k | reviewer_comment stringlengths 16 64.5k | after_code stringlengths 9 467k | diff_context stringlengths 0 97k | file_path stringlengths 5 226 | comment_line int32 0 26 | language stringclasses 37
values | quality_score float32 0.07 1 | comment_type stringclasses 9
values | comment_length int32 16 64.5k | before_lines int32 1 17.2k | after_lines int32 1 12.1k | is_negative bool 2
classes | pr_title stringlengths 1 308 | pr_number int32 1 299k | repo_name stringclasses 533
values | repo_stars int64 321 419k | repo_language stringclasses 27
values | reviewer_username stringlengths 0 39 | author_username stringlengths 2 39 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
} else if uriName, err := url.Parse(h); err == nil && uriName.Scheme != "" && uriName.Host != "" {
tpl.URIs = append(tpl.URIs, uriName)
} else {
tpl.DNSNames = append(tpl.DNSNames, h)
}
}
if m.client {
tpl.ExtKeyUsage = []x509.ExtKeyUsage{x509.ExtKeyUsageClientAuth, x509.ExtKeyUsageServerAuth}
} else ... | -----BEGIN PGP PUBLIC KEY BLOCK-----
Version: GnuPG v1.2.2 (GNU/Linux)
mQGiBD8OdRwRBACEr0/NPA88qp8f6KyIMMveLQ1FOuLi0aDQDPybG7u1nrBoi3VI
tSRyfYcdExVxWQjTGd9qbShzXBw2DsxjA6YjiGzWKpVcqtj9uUDpSlylBaoadUzu
Sf3r3IkOHR2QJeC+9v2il30xy5XLMxDRbQYaSmf4uwTlIOUWNn118KpdawCgoNny
p4DR9EvRgCmY5z6IKHA2WscD/AhAKDVHCIAoZHzSB/puNOu... | } else if uriName, err := url.Parse(h); err == nil && uriName.Scheme != "" && uriName.Host != "" {
tpl.URIs = append(tpl.URIs, uriName)
} else {
tpl.DNSNames = append(tpl.DNSNames, h)
}
}
if m.client {
tpl.ExtKeyUsage = []x509.ExtKeyUsage{x509.ExtKeyUsageClientAuth, x509.ExtKeyUsageServerAuth}
} else ... | @@ -108,15 +108,26 @@ func (m *mkcert) makeCert(hosts []string) {
certFile, keyFile, p12File := m.fileNames(hosts) | cert.go | 26 | Go | 0.429 | suggestion | 1,738 | 51 | 51 | false | Don't overwrite the -key-file if it's identical to -cert-file | 264 | FiloSottile/mkcert | 55,865 | Go | qqqq-collab | arp242 |
Usage:
$ mkcert -install
Install the local CA in the system trust store.
$ mkcert example.org
Generate "example.org.pem" and "example.org-key.pem".
$ mkcert example.com myapp.dev localhost 127.0.0.1 ::1
Generate "example.com+4.pem" and "example.com+4-key.pem".
$ mkcert '*.example.com'
Generate "_wildcard.ex... | No issues found. | Usage:
$ mkcert -install
Install the local CA in the system trust store.
$ mkcert example.org
Generate "example.org.pem" and "example.org-key.pem".
$ mkcert example.com myapp.dev localhost 127.0.0.1 ::1
Generate "example.com+4.pem" and "example.com+4-key.pem".
$ mkcert '*.example.com'
Generate "_wildcard.ex... | @@ -154,8 +154,13 @@ func (m *mkcert) install() {
var printed bool
if !m.checkPlatform() {
m.installPlatform()
- m.ignoreCheckFailure = true // TODO: replace with a check for a successful install
- log.Print("The local CA is now installed in the system trust store! ⚡️")
+
+ // TODO: replace with a check for a... | main.go | 0 | Go | 1 | none | 16 | 51 | 51 | true | on linux don't declare we installed to the system store | 18 | FiloSottile/mkcert | 55,865 | Go | adamdecaf | |
} else if m.uninstallMode {
m.uninstall()
return
} else {
var warning bool
if !m.checkPlatform() {
warning = true
log.Println("Warning: the local CA is not installed in the system trust store! ⚠️")
}
if hasNSS && CertutilInstallHelp != "" && !m.checkNSS() {
warning = true
log.Printf("Warning: ... | No issues found. | } else if m.uninstallMode {
m.uninstall()
return
} else {
var warning bool
if !m.checkPlatform() {
warning = true
log.Println("Warning: the local CA is not installed in the system trust store! ⚠️")
}
if hasNSS && CertutilInstallHelp != "" && !m.checkNSS() {
warning = true
log.Printf("Warning: ... | @@ -40,6 +40,8 @@ const usage = `Usage of mkcert:
$ mkcert -uninstall
Uninstall the local CA (but do not delete it).
+Use -cert-file, -key-file and -p12-file to customize the output paths.
+
Change the CA certificate and key storage location by setting $CAROOT,
print it with "mkcert -CAROOT".
`
@@ -50,6 +52,9 ... | main.go | 0 | Go | 1 | none | 16 | 51 | 51 | true | Add ability of customizing file name | 77 | FiloSottile/mkcert | 55,865 | Go | sleagon | |
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure ChatOpenAI'
this.name = 'azureChatOpenAI'
this.type = 'AzureChatOpenAI'
this.icon... | not sure if these model names are correct. At least when checked docs - its called gpt-35-turbo. Refer to here: https://learn.microsoft.com/en-GB/azure/cognitive-services/openai/concepts/models | label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure ChatOpenAI'
this.name = 'azureChatOpenAI'
this.type = 'AzureChatOpenAI'
this.icon... | @@ -0,0 +1,134 @@
+import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
+
+class AzureChatOpenAI_ChatMo... | packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts | 26 | TypeScript | 0.357 | suggestion | 193 | 51 | 51 | false | Feature/azure | 92 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI'
this.name = 'azureOpenAI'
this.type = 'AzureOpenAI'
this.icon = 'Azure.sv... | Refer to here for models: https://learn.microsoft.com/en-GB/azure/cognitive-services/openai/concepts/models | label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI'
this.name = 'azureOpenAI'
this.type = 'AzureOpenAI'
this.icon = 'Azure.sv... | @@ -0,0 +1,129 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
+
+class AzureOpenAI_LLMs implements INode {
+ label: string
+ name: string
+ type: strin... | packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts | 26 | TypeScript | 0.357 | suggestion | 107 | 51 | 51 | false | Feature/azure | 92 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI Embeddings'
this.name = 'azureOpenAIEmbeddings'
this.type = 'AzureOpenAIEmbeddings'
this.icon = 'Azure.svg'
this.categ... | We don't have model name is OpenAIEmbedding, think we can leave this out | icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI Embeddings'
this.name = 'azureOpenAIEmbeddings'
this.type = 'AzureOpenAIEmbeddings'
this.icon = 'Azure.svg'
this.categ... | @@ -0,0 +1,116 @@
+import { AzureOpenAIInput } from 'langchain/chat_models/openai'
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
+
+class AzureOpenAIEmbe... | packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts | 26 | TypeScript | 0.214 | suggestion | 72 | 51 | 51 | false | Feature/azure | 92 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
... | Can we change api version to options:
<img width="332" alt="image" src="https://github.com/FlowiseAI/Flowise/assets/26460777/cd148147-92f8-4768-9c25-ae1562d9f0e3">
| optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
... | @@ -0,0 +1,122 @@
+import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
+
+class AzureChatOpenAI_ChatMo... | packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts | 26 | TypeScript | 0.429 | suggestion | 167 | 51 | 51 | false | Feature/azure | 92 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
... | Embeddings needed?
<img width="713" alt="image" src="https://github.com/FlowiseAI/Flowise/assets/26460777/2fca3423-a6d2-4a05-92fc-97bca2ed9f22">
| label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
... | @@ -0,0 +1,157 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
+
+class AzureOpenAI_LLMs implements INode {
+ label: string
+ name: string
+ type: strin... | packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts | 26 | TypeScript | 0.357 | suggestion | 148 | 51 | 51 | false | Feature/azure | 92 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
options: [
{
label: 'gpt-4',
name: 'gpt-4'
},
{
label: 'gpt-4-32k',
name: 'gpt-4-32k'
},
{
... | Same, make sure just include fields that are needed: https://js.langchain.com/docs/modules/models/chat/integrations | options: [
{
label: 'gpt-4',
name: 'gpt-4'
},
{
label: 'gpt-4-32k',
name: 'gpt-4-32k'
},
{
... | @@ -0,0 +1,122 @@
+import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
+
+class AzureChatOpenAI_ChatMo... | packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts | 26 | TypeScript | 0.357 | suggestion | 115 | 51 | 51 | false | Feature/azure | 92 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
constructor() {
this.label = 'Buffer Window Memory'
this.name = 'bufferWindowMemory'
this.type = 'BufferWindowMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Uses a window of size k to surface the last k back-and-forths to use as memory'
... | can add a `description: 'window of size k to surface the last k back-and-forths to use as memory.'` so people can understand whats this k for | constructor() {
this.label = 'Buffer Window Memory'
this.name = 'bufferWindowMemory'
this.type = 'BufferWindowMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Uses a window of size k to surface the last k back-and-forths to use as memory'
... | @@ -0,0 +1,61 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { BufferWindowMemory, BufferWindowMemoryInput } from 'langchain/memory'
+
+class BufferWindowMemory_Memory implements INode {
+ label: string
+ name: string
+ de... | packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts | 26 | TypeScript | 0.714 | suggestion | 141 | 48 | 49 | false | feature/BufferWindowMemory | 159 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
const docs = nodeData.inputs?.document as Document[]
const chain = await getOpenAPIChain(docs, model)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.run(input,... | do you see an improvement from using custom `apiResponsePrompt` instead of the original prompt used in langchain library? | const headers = nodeData.inputs?.headers as string
const chain = await getAPIChain(docs, model, headers)
return chain
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const model = nodeData.inputs?.model as BaseLanguageModel
con... | @@ -0,0 +1,78 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { APIChain } from 'langchain/chains'
+import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
+import { BaseLanguageModel } from 'langchain/base_language'
+import { Document } from 'langchain/... | packages/components/nodes/chains/ApiChain/ApiChain.ts | 26 | TypeScript | 0.571 | question | 121 | 30 | 40 | false | feature: changes to support ApiChain | 190 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vjsai |
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
await sendToParentProcess(
'error',
`Outpu... | can we also pass in the `chatid` from here - https://github.com/FlowiseAI/Flowise/blob/main/packages/server/src/index.ts#L445 ? | if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
await sendToParentProcess(
'error',
`Outpu... | @@ -83,6 +83,7 @@ export class ChildProcess {
depthQueue,
componentNodes,
incomingInput.question,
+ '', | packages/server/src/ChildProcess.ts | 26 | TypeScript | 0.5 | question | 127 | 51 | 51 | false | feature/SupportZepMemoryAndAutoSummary | 284 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | wangerzi |
})
}
// Handle errors
const handleError = (message = 'Oops! There seems to be an error. Please try again.') => {
message = message.replace(`Unable to parse JSON response from chat agent.\n\n`, '')
setMessages((prevMessages) => [...prevMessages, { message, type: 'apiMessage' }])
... | the code `await addChatMessage(userInput, 'userMessage')` looks the same before and after changes, is the comment redundant? | })
}
// Handle errors
const handleError = (message = 'Oops! There seems to be an error. Please try again.') => {
message = message.replace(`Unable to parse JSON response from chat agent.\n\n`, '')
setMessages((prevMessages) => [...prevMessages, { message, type: 'apiMessage' }])
... | @@ -118,7 +118,8 @@ export const ChatMessage = ({ open, chatflowid, isDialog }) => {
setLoading(true)
setMessages((prevMessages) => [...prevMessages, { message: userInput, type: 'userMessage' }])
- addChatMessage(userInput, 'userMessage')
+ // waiting for first chatmessage uploaded, th... | packages/ui/src/views/chatmessage/ChatMessage.js | 26 | JavaScript | 0.571 | question | 124 | 51 | 51 | false | feature/SupportZepMemoryAndAutoSummary | 284 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | wangerzi |
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Zep Memory'
this.name = 'ZepMemory'
this.type = 'ZepMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Summarizes the conversation and st... | I think we can also still have the session id in case when user want to resume the previous conversation. if the session id field is not filled, then we can use the first `chatid`:
```
{
label: 'Session Id',
name: 'sessionId',
type: 'string',
optional: true,
additionalParams: true... | category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Zep Memory'
this.name = 'ZepMemory'
this.type = 'ZepMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Summarizes the conversation and st... | @@ -0,0 +1,130 @@
+import { SystemChatMessage } from 'langchain/schema'
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { ZepMemory, ZepMemoryInput } from 'langchain/memory/zep'
+import { ICommonObject } from '../../../src'
+
+class Ze... | packages/components/nodes/memory/ZepMemory/ZepMemory.ts | 26 | TypeScript | 1 | suggestion | 329 | 51 | 51 | false | feature/SupportZepMemoryAndAutoSummary | 284 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | wangerzi |
constructor() {
this.label = 'Zep Memory'
this.name = 'ZepMemory'
this.type = 'ZepMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Summarizes the conversation and stores the memory in zep server'
this.baseClasses = [this.type, ...g... | we can use `description` for the message | constructor() {
this.label = 'Zep Memory'
this.name = 'ZepMemory'
this.type = 'ZepMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Summarizes the conversation and stores the memory in zep server'
this.baseClasses = [this.type, ...g... | @@ -0,0 +1,140 @@
+import { SystemChatMessage } from 'langchain/schema'
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { ZepMemory, ZepMemoryInput } from 'langchain/memory/zep'
+import { ICommonObject } from '../../../src'
+
+class Ze... | packages/components/nodes/memory/ZepMemory/ZepMemory.ts | 26 | TypeScript | 0.286 | suggestion | 40 | 51 | 51 | false | feature/SupportZepMemoryAndAutoSummary | 284 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | wangerzi |
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
if (
endingNodeData.outputs &&
... | this will not work because child processes dont have access to `DataSource`. You'll have to get the chatid in `startChildProcess()` and pass it in the `IRunChatflowMessageValue` - https://github.com/FlowiseAI/Flowise/blob/main/packages/server/src/index.ts#L449. Then retrieve it here - https://github.com/FlowiseAI/Flowi... | const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
if (
endingNodeData.outputs &&
... | @@ -76,13 +77,15 @@ export class ChildProcess {
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
/*** BFS to traverse from Starting Nodes to Ending Node ***/
+ const chatId = await getChatId(chatflow.id) | packages/server/src/ChildProcess.ts | 26 | TypeScript | 0.643 | suggestion | 372 | 51 | 51 | false | feature/SupportZepMemoryAndAutoSummary | 284 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | wangerzi |
const result = isStreamValid
? await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
socketIO,
socketIOClientId: incomingInput.socketIOClientId
... | can you add
```
/**
* Get first chat message id
* @param {string} chatflowid
* @returns {string}
*/
``` | isStreamValid = isStreamValid && !isVectorStoreFaiss(nodeToExecuteData)
const result = isStreamValid
? await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
socketIO,... | @@ -661,6 +665,18 @@ export class App {
}
}
| packages/server/src/index.ts | 26 | TypeScript | 0.714 | suggestion | 114 | 51 | 51 | false | feature/SupportZepMemoryAndAutoSummary | 284 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | wangerzi |
import { TextSplitter } from 'langchain/text_splitter'
import { ApifyDatasetLoader } from 'langchain/document_loaders/web/apify_dataset'
import { Document } from 'langchain/document'
class ApifyWebsiteContentCrawler_DocumentLoaders implements INode {
label: string
name: string
description: string
type:... | Thanks for picking up the PR!
We've recently added a new way to put credentials like API Key, ID etc. Can we separate `apifyApiToken` into another credential file similar to [this](https://github.com/FlowiseAI/Flowise/pull/646/files#diff-4101f7761f09aeeaede04c9ba71bf2ecbf1428218bb68112ec311b1691a9fdfb)? | import { getCredentialData, getCredentialParam } from '../../../src/utils'
import { TextSplitter } from 'langchain/text_splitter'
import { ApifyDatasetLoader } from 'langchain/document_loaders/web/apify_dataset'
import { Document } from 'langchain/document'
class ApifyWebsiteContentCrawler_DocumentLoaders implements I... | @@ -0,0 +1,68 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { TextSplitter } from 'langchain/text_splitter'
+import { ApifyDatasetLoader } from 'langchain/document_loaders/web/apify_dataset'
+import { Document } from 'langchain/document'
+
+class ApifyWebsiteContentCrawler_DocumentL... | packages/components/nodes/documentloaders/ApifyWebsiteContentCrawler/ApifyWebsiteContentCrawler.ts | 26 | TypeScript | 0.571 | security | 307 | 51 | 51 | false | feat: Add document loader for Apify Website Content Crawler | 399 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | drobnikj |
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Apify Website Content Crawler'
this.name = 'apifyWebsiteContentCrawler'
this.type = 'Document'
this.icon = 'apify-symbol-t... | Instead of having a json that user has to fill in, can we make it more intuitive to like this?
```
{
label: 'URL',
name: 'url',
type: 'string',
placeholder: 'https://js.langchain.com/docs/'
},
{
label: 'Max Crawl Pages',
name: 'maxCrawlPages',
type: 'number',
default: 1
},
``` | name: string
description: string
type: string
icon: string
version: number
category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
constructor() {
this.label = 'Apify Website Content Crawler'
this.name = 'apifyWebsiteContentCrawler'
... | @@ -0,0 +1,68 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { TextSplitter } from 'langchain/text_splitter'
+import { ApifyDatasetLoader } from 'langchain/document_loaders/web/apify_dataset'
+import { Document } from 'langchain/document'
+
+class ApifyWebsiteContentCrawler_DocumentL... | packages/components/nodes/documentloaders/ApifyWebsiteContentCrawler/ApifyWebsiteContentCrawler.ts | 26 | TypeScript | 1 | suggestion | 300 | 51 | 51 | false | feat: Add document loader for Apify Website Content Crawler | 399 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | drobnikj |
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true
},
{
label: 'Embeddings',
... | we have to add `optional: true` because API key is not a must.
same with load existing index file | this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.inputs = [
{
label: 'Document',
name: 'document',
type: 'Document',
list: true
},
{
label: 'Embeddings',
... | @@ -0,0 +1,119 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { QdrantClient } from '@qdrant/js-client-rest'
+import { QdrantVectorStore, QdrantLibArgs } from 'langchain/vectorstores/qdrant'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document... | packages/components/nodes/vectorstores/Qdrant_Upsert/Qdrant_Upsert.ts | 26 | TypeScript | 0.571 | suggestion | 100 | 51 | 51 | false | Feature/Qdrant vector store integration | 409 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | govind-kumarr |
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Qdrant Upsert Document'
this.name = 'qdrantUpsert'
this.type = 'Qdrant'
this.icon = 'qdrant_logo.svg'
this.category = 'Vector Stores'
this.description = 'Upsert documents to Qdrant'
this.baseClass... | can we add a `placeholder: 'http://localhost:6333'` | outputs: INodeOutputsValue[]
constructor() {
this.label = 'Qdrant Upsert Document'
this.name = 'qdrantUpsert'
this.type = 'Qdrant'
this.icon = 'qdrant_logo.svg'
this.category = 'Vector Stores'
this.description = 'Upsert documents to Qdrant'
this.baseClass... | @@ -0,0 +1,119 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { QdrantClient } from '@qdrant/js-client-rest'
+import { QdrantVectorStore, QdrantLibArgs } from 'langchain/vectorstores/qdrant'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document... | packages/components/nodes/vectorstores/Qdrant_Upsert/Qdrant_Upsert.ts | 26 | TypeScript | 0.357 | suggestion | 51 | 51 | 51 | false | Feature/Qdrant vector store integration | 409 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | govind-kumarr |
this.chatflowPool = new ChatflowPool()
// Initialize API keys
await getAPIKeys()
})
.catch((err) => {
console.error('❌[server]: Error during Data Source initialization:', err)
})
}
async config(socketIO?: Serv... | missing `'/api/v1/public-chatflows'` |
this.chatflowPool = new ChatflowPool()
// Initialize API keys
await getAPIKeys()
})
.catch((err) => {
console.error('❌[server]: Error during Data Source initialization:', err)
})
}
async config(socketIO?: Serv... | @@ -93,7 +93,13 @@ export class App {
const basicAuthMiddleware = basicAuth({
users: { [username]: password }
})
- const whitelistURLs = ['/api/v1/public-chatflows', '/api/v1/prediction/', '/api/v1/node-icon/', '/api/v1/chatflows-streaming']
+ const white... | packages/server/src/index.ts | 26 | TypeScript | 0.214 | suggestion | 36 | 51 | 51 | false | modify whitelistURLs | 450 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { APIChain, createOpenAPIChain } from 'langchain/chains'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { ChatOpenAI } from 'langchain/chat_models/openai'
class OpenApiChain_Chains implements IN... | can we use the image [here](https://github.com/FlowiseAI/Flowise/blob/main/packages/components/nodes/tools/OpenAPIToolkit/openapi.png) | import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { APIChain, createOpenAPIChain } from 'langchain/chains'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { ChatOpenAI } from 'langchain/chat_models/openai'
class OpenApiChain_Chains implements IN... | @@ -0,0 +1,84 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { APIChain, createOpenAPIChain } from 'langchain/chains'
+import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
+import { ChatOpenAI } from 'langchain/chat_models/openai'
+
+class OpenApiCha... | packages/components/nodes/chains/ApiChain/OpenAPIChain.ts | 20 | TypeScript | 0.429 | suggestion | 134 | 45 | 45 | false | Added OpenAPIChain | 491 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vjsai |
this.baseClasses = [this.type, ...getBaseClasses(APIChain)]
this.inputs = [
{
label: 'ChatOpenAI Model',
name: 'model',
type: 'ChatOpenAI'
},
{
label: 'YAML File',
name: 'yamlFile',
... | For `headers`, you have to parse it because it is passed as string
`const headers = nodeData.inputs?.headers as string`
then pass to `createOpenAPIChain`:
`headers: typeof headers === 'object' ? headers : headers ? JSON.parse(headers) : {}`
| this.baseClasses = [this.type, ...getBaseClasses(APIChain)]
this.inputs = [
{
label: 'ChatOpenAI Model',
name: 'model',
type: 'ChatOpenAI'
},
{
label: 'YAML Link',
name: 'yamlLink',
... | @@ -0,0 +1,84 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { APIChain, createOpenAPIChain } from 'langchain/chains'
+import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
+import { ChatOpenAI } from 'langchain/chat_models/openai'
+
+class OpenApiCha... | packages/components/nodes/chains/ApiChain/OpenAPIChain.ts | 26 | TypeScript | 0.786 | suggestion | 249 | 51 | 51 | false | Added OpenAPIChain | 491 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vjsai |
type: 'string',
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',
... | can we add `additionalParams: true` and `description: 'Only needed when using hosted solution - https://getmetal.io'` | type: 'string',
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',
... | @@ -0,0 +1,96 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { ICommonObject } from '../../../src'
+import { MotorheadMemory, MotorheadMemoryInput } from 'langchain/memory'
+
+class MotorMemory_Memory implements INode {
+ label:... | packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts | 26 | TypeScript | 0.5 | suggestion | 117 | 51 | 51 | false | Feature/Motorhead Memory | 495 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | ivalkshfoeif |
default: 'chat_history'
},
{
label: 'Session Id',
name: 'sessionId',
type: 'string',
description: 'if empty, chatId will be used automatically',
default: '',
additionalParams: true,
... | can we add `additionalParams: true` and `description: 'Only needed when using hosted solution https://getmetal.io'` | default: 'chat_history'
},
{
label: 'Session Id',
name: 'sessionId',
type: 'string',
description: 'if empty, chatId will be used automatically',
default: '',
additionalParams: true,
... | @@ -0,0 +1,96 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { ICommonObject } from '../../../src'
+import { MotorheadMemory, MotorheadMemoryInput } from 'langchain/memory'
+
+class MotorMemory_Memory implements INode {
+ label:... | packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts | 26 | TypeScript | 0.5 | suggestion | 115 | 51 | 51 | false | Feature/Motorhead Memory | 495 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | ivalkshfoeif |
return 'txtFile'
case 'application/pdf':
return 'pdfFile'
case 'application/json':
return 'jsonFile'
case 'text/csv':
return 'csvFile'
case 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
return 'docxF... | i think we can also remove this too | return 'txtFile'
case 'application/pdf':
return 'pdfFile'
case 'application/json':
return 'jsonFile'
case 'text/csv':
return 'csvFile'
case 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
return 'docxF... | @@ -632,7 +632,7 @@ export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[]) => {
for (const flowNode of reactFlowNodes) {
for (const inputParam of flowNode.data.inputParams) {
let obj: IOverrideConfig
- if (inputParam.type === 'password' || inputParam.type === 'optio... | packages/server/src/utils/index.ts | 26 | TypeScript | 0.143 | refactor | 35 | 51 | 51 | false | modify options and password api config | 510 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
output = query(form_data)
`
} else if (codeLang === 'JavaScript') {
return `// use FormData to upload files
let formData = new FormData();
${getConfigExamplesForJS(configData, 'formData')}
async function query(formData) {
const response = await fetch(
"${baseURL}/api/v1/prediction/${dial... | should be `application/x-www-form-urlencoded` when using `formData` | output = query(form_data)
`
} else if (codeLang === 'JavaScript') {
return `// use FormData to upload files
let formData = new FormData();
${getConfigExamplesForJS(configData, 'formData')}
async function query(formData) {
const response = await fetch(
"${baseURL}/api/v1/prediction/${dial... | @@ -316,7 +318,8 @@ query(formData).then((response) => {
`
} else if (codeLang === 'cURL') {
return `curl ${baseURL}/api/v1/prediction/${dialogProps.chatflowid} \\
- -X POST \\${getConfigExamplesForCurl(configData, 'formData')}`
+ -X POST \\${getConfigExamplesForCurl(configData, 'formData... | packages/ui/src/views/chatflows/APICodeDialog.js | 26 | JavaScript | 0.429 | suggestion | 67 | 51 | 51 | false | add -H "Content-Type: application/json" in curl command | 554 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Yongtae723 |
return `import requests
API_URL = "${baseURL}/api/v1/prediction/${dialogProps.chatflowid}"
# use form data to upload files
form_data = {${getConfigExamplesForPython(configData, 'formData')}}
def query(form_data):
response = requests.post(API_URL, files=form_data)
return response.json()
output = ... | Dont think this works. Using `formData` , the header should be `'Content-Type': 'application/x-www-form-urlencoded'` not `application/json`
You also cant `JSON stringify` formData
https://stackoverflow.com/questions/46640024/how-do-i-post-form-data-with-fetch-api | return `import requests
API_URL = "${baseURL}/api/v1/prediction/${dialogProps.chatflowid}"
# use form data to upload files
form_data = {${getConfigExamplesForPython(configData, 'formData')}}
def query(form_data):
response = requests.post(API_URL, files=form_data)
return response.json()
output = ... | @@ -303,7 +309,10 @@ async function query(formData) {
"${baseURL}/api/v1/prediction/${dialogProps.chatflowid}",
{
method: "POST",
- body: formData
+ headers: {
+ "Content-Type": "application/json"
+ },
+ body: JSON.stringify(formD... | packages/ui/src/views/chatflows/APICodeDialog.js | 26 | JavaScript | 0.786 | bug | 269 | 51 | 51 | false | Refactor API request to include Content-Type header | 555 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Yongtae723 |
API_URL = "${baseURL}/api/v1/prediction/${dialogProps.chatflowid}"
headers = {"Authorization": "Bearer ${selectedApiKey?.apiKey}"}
# use form data to upload files
form_data = {${getConfigExamplesForPython(configData, 'formData')}}
def query(form_data):
response = requests.post(API_URL, headers=headers, files=form... | do we need `new URLSearchParams` ?
actually i dont think we should set `"Content-Type": "application/x-www-form-urlencoded"` according to many [answers](https://stackoverflow.com/questions/62644988/using-formdata-inside-fetch-api-is-not-working) online, just let the fetch decide for you | # use form data to upload files
form_data = {${getConfigExamplesForPython(configData, 'formData')}}
def query(form_data):
response = requests.post(API_URL, headers=headers, files=form_data)
return response.json()
output = query(form_data)
`
} else if (codeLang === 'JavaScript') {
return `/... | @@ -347,9 +356,12 @@ async function query(formData) {
const response = await fetch(
"${baseURL}/api/v1/prediction/${dialogProps.chatflowid}",
{
- headers: { Authorization: "Bearer ${selectedApiKey?.apiKey}" },
+ headers: {
+ Authorization: "Bearer ${selectedAp... | packages/ui/src/views/chatflows/APICodeDialog.js | 26 | JavaScript | 0.786 | bug | 291 | 51 | 51 | false | Refactor API request to include Content-Type header | 555 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Yongtae723 |
type: 'number',
additionalParams: true,
optional: true
}
]
this.outputs = [
{
label: 'Chroma Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
... | these are `parseInt`. they are different from the `topK` used in models, although they have same name.
check with langchainjs code and API docs from models to see which one is decimal values and which one is integer | type: 'number',
additionalParams: true,
optional: true
}
]
this.outputs = [
{
label: 'Chroma Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
... | @@ -69,7 +69,7 @@ class Chroma_Existing_VectorStores implements INode {
const chromaURL = nodeData.inputs?.chromaURL as string
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
- const k = topK ? parseInt(topK, 10) : 4
+ const k = top... | packages/components/nodes/vectorstores/Chroma_Existing/Chroma_Existing.ts | 26 | TypeScript | 0.643 | suggestion | 218 | 48 | 48 | false | bugfix/OpenAITopP | 617 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | chungyau97 |
baseClasses: string[]
inputs: INodeParams[]
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Vectara Upsert Document'
this.name = 'vectaraExisting'
this.type = 'Vectara'
this.icon = 'vectara.png'
this.category = 'Vector Stores'
this.description ... | Thanks for the PR!
We've recently added a new way to put credentials like API Key, ID etc. Can we seperate these 3 `customerID`, `corpusID` and `apiKey` into another credential file similar to [this](https://github.com/FlowiseAI/Flowise/pull/646/files#diff-4101f7761f09aeeaede04c9ba71bf2ecbf1428218bb68112ec311b1691a9... | category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Vectara Upsert Document'
this.name = 'vectaraExisting'
this.version = 1.0
this.type = 'Vectara'
this.icon = 've... | @@ -0,0 +1,132 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { Embeddings } from 'langchain/embeddings/base'
+import { getBaseClasses } from '../../../src/utils'
+import { VectaraStore, VectaraLibArgs, VectaraFilter } from 'langchain/vectorstores/vectara'
+import ... | packages/components/nodes/vectorstores/Vectara_Upsert/Vectara_Upsert.ts | 26 | TypeScript | 0.571 | security | 326 | 51 | 51 | false | Feature/Add Vectara Vector Store | 645 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | 3eif |
import { INodeParams, INodeCredential } from '../src/Interface'
class GoogleSearchApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Google Custom Search API'
this.name = 'googleCus... | can we add a description like [this](https://github.com/FlowiseAI/Flowise/blob/main/packages/components/credentials/ZepMemoryApi.credential.ts#L14) to let user know how and where to get these credentials? | import { INodeParams, INodeCredential } from '../src/Interface'
class GoogleSearchApi implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'Google Custom Search API'
this.name = 'googleCus... | @@ -0,0 +1,29 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class GoogleSearchApi implements INodeCredential {
+ label: string
+ name: string
+ version: number
+ description: string
+ inputs: INodeParams[]
+
+ constructor() {
+ this.label = 'Google Custom Search API'
+ ... | packages/components/credentials/GoogleSearchApi.credential.ts | 13 | TypeScript | 0.643 | security | 204 | 30 | 32 | false | Feature/google custom search | 646 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | denchi |
},
{
label: 'Additional File Loaders',
name: 'additionalLoaders',
type: 'json',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const ... | I don't think it will work. Because you need specific loader for specific file types, otherwise if let's say you have a file with extension `.ppt`, there is no loader to process the file | }
]
}
async init(nodeData: INodeData): Promise<any> {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const folderPath = nodeData.inputs?.folderPath as string
const metadata = nodeData.inputs?.metadata
const loader = new DirectoryLoader(fo... | @@ -54,14 +61,17 @@ class Folder_DocumentLoaders implements INode {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const folderPath = nodeData.inputs?.folderPath as string
const metadata = nodeData.inputs?.metadata
+ const additionalLoaders = nodeData.inputs?.additi... | packages/components/nodes/documentloaders/Folder/Folder.ts | 26 | TypeScript | 0.714 | suggestion | 186 | 51 | 51 | false | Issue #731: Add additional optional input parameter for adding additional file loaders | 733 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | rkeshwani |
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { SqlDatabaseChain, SqlDatabaseChainInput } from 'langchain/chains/sql_db'
import { getBaseClasses } from '../../../src/utils'
import { DataSource } from 'typeorm'
import { SqlDatabase } from 'langchain/sql_db'
import { BaseLan... | for other database types apart from `sqlite`, don't we need other configuration like `port`, `host` and others?
[example](https://github.com/FlowiseAI/Flowise/blob/main/packages/server/src/DataSource.ts) | const url = nodeData.inputs?.url
const chain = await getSQLDBChain(databaseType, url, model)
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options... | @@ -81,11 +96,18 @@ class SqlDatabaseChain_Chains implements INode {
}
}
-const getSQLDBChain = async (databaseType: 'sqlite', dbFilePath: string, llm: BaseLanguageModel) => {
- const datasource = new DataSource({
- type: databaseType,
- database: dbFilePath
- })
+const getSQLDBChain = async... | packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts | 26 | TypeScript | 0.714 | suggestion | 204 | 105 | 45 | false | Issue #740: Added postgres, mssql and mysql to Sql Database Chain | 761 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | lpongetti |
credential: INodeParams
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Vectara Load Existing Index'
this.name = 'vectaraExistingIndex'
this.version = 1.0
this.type = 'Vectara'
this.icon = 'vectara.png'
this.category = 'Vector Stores'
this.... | can we add a `description` with how to use the filter, or the link to the docs page? Something like:
```
Refer to <a target="_blank" href="https://docs.vectara.com">official guide</a> on how to use filter
``` | credential: INodeParams
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Vectara Load Existing Index'
this.name = 'vectaraExistingIndex'
this.version = 1.0
this.type = 'Vectara'
this.icon = 'vectara.png'
this.category = 'Vector Stores'
this.... | @@ -34,7 +34,7 @@ class VectaraExisting_VectorStores implements INode {
{
label: 'Vectara Metadata Filter',
name: 'filter',
- type: 'json',
+ type: 'string',
additionalParams: true, | packages/components/nodes/vectorstores/Vectara_Existing/Vectara_Existing.ts | 26 | TypeScript | 0.857 | question | 213 | 51 | 51 | false | Fix Vectara filter | 762 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | 3eif |
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Postgres Upsert Document'
... | is the credential optional here? | label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
outputs: INodeOutputsValue[]
constructor() {
this.label = 'Postgres Upsert Document'
... | @@ -0,0 +1,212 @@
+import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document } from 'langchain/document'
+import { DataSourceOptions } from 'typeorm'
+import { TypeORMVectorStore, TypeORMVectorStore... | packages/components/nodes/vectorstores/Postgres_Upsert/Postgres_Upsert.ts | 26 | TypeScript | 0.071 | security | 32 | 51 | 51 | false | Add Postgres vector store using pgvector | 782 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | fabiovalencio |
optional: true,
description:
'Google Vertex AI credential. If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.'
}
this.inputs = [
{
l... | maybe we don't have to use `additionalParams` here | optional: true,
description:
'Google Vertex AI credential. If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.'
}
this.inputs = [
{
l... | @@ -33,11 +33,35 @@ class GoogleVertexAIEmbedding_Embeddings implements INode {
description:
'Google Vertex AI credential. If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.'
}
... | packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts | 26 | TypeScript | 0.429 | suggestion | 50 | 51 | 51 | false | Add input option for Model Name in GoogleVertexAIEmbedding | 869 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Yongtae723 |
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const modelName = nodeData.inputs?.modelName as string
const googleApplicationCredentialFilePath = getCredentialParam('google... | if `modelName` is undefined, is it still running fine? maybe a better way is to check:
```
if (modelName) obj.model = modelName
``` | async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const modelName = nodeData.inputs?.modelName as string
const googleApplicationCredentialFilePath = getCredentialParam('googleA... | @@ -58,7 +82,9 @@ class GoogleVertexAIEmbedding_Embeddings implements INode {
if (projectID) authOptions.projectId = projectID
}
- const obj: GoogleVertexAIEmbeddingsParams = {}
+ const obj: GoogleVertexAIEmbeddingsParams = {
+ model: modelName | packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts | 26 | TypeScript | 0.929 | suggestion | 134 | 36 | 34 | false | Add input option for Model Name in GoogleVertexAIEmbedding | 869 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Yongtae723 |
additionalParams: true,
optional: true
},
{
label: 'Custom Prompt',
name: 'customPrompt',
type: 'string',
description:
'You can provide custom prompt to the chain. This will overri... | will this return error if `ignoreTables` is undefined? | additionalParams: true,
optional: true
},
{
label: 'Custom Prompt',
name: 'customPrompt',
type: 'string',
description:
'You can provide custom prompt to the chain. This will overri... | @@ -105,19 +140,49 @@ class SqlDatabaseChain_Chains implements INode {
const databaseType = nodeData.inputs?.database as DatabaseType
const model = nodeData.inputs?.model as BaseLanguageModel
const url = nodeData.inputs?.url
- const customPrompt = nodeData.inputs?.customPrompt as strin... | packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts | 26 | TypeScript | 0.5 | question | 54 | 51 | 51 | false | Added some options for SqlDatabaseChain | 879 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | lpongetti |
optional: true
},
{
label: 'Custom Prompt',
name: 'customPrompt',
type: 'string',
description:
'You can provide custom prompt to the chain. This will override the existing default prompt used. See... | `ignoreTables` is an array after split, so `ignoreTables == ''` is not a valid if else check. Also why `includesTables?.split(',')` is being used instead of `ignoreTables`? | optional: true
},
{
label: 'Custom Prompt',
name: 'customPrompt',
type: 'string',
description:
'You can provide custom prompt to the chain. This will override the existing default prompt used. See... | @@ -105,19 +140,49 @@ class SqlDatabaseChain_Chains implements INode {
const databaseType = nodeData.inputs?.database as DatabaseType
const model = nodeData.inputs?.model as BaseLanguageModel
const url = nodeData.inputs?.url
- const customPrompt = nodeData.inputs?.customPrompt as strin... | packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts | 26 | TypeScript | 0.571 | question | 172 | 51 | 51 | false | Added some options for SqlDatabaseChain | 879 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | lpongetti |
{
label: 'Chroma Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Chroma Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(Chroma)]
... | Recommend following other `Metadata Filter` standard
Examples:
1. [packages/components/nodes/vectorstores/Pinecone_Existing/Pinecone_Existing.ts](https://github.com/FlowiseAI/Flowise/blob/main/packages/components/nodes/vectorstores/Pinecone_Existing/Pinecone_Existing.ts#L111)
2. [packages/components/nodes/vectorst... | {
label: 'Chroma Retriever',
name: 'retriever',
baseClasses: this.baseClasses
},
{
label: 'Chroma Vector Store',
name: 'vectorStore',
baseClasses: [this.type, ...getBaseClasses(Chroma)]
... | @@ -86,13 +93,18 @@ class Chroma_Existing_VectorStores implements INode {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData)
+ const chromaMetadataFilter = nodeData.inputs?.chroma... | packages/components/nodes/vectorstores/Chroma/Chroma_Existing.ts | 26 | TypeScript | 0.571 | suggestion | 497 | 51 | 51 | false | Update Chroma_Existing.ts to add metadatafilter | 880 | FlowiseAI/Flowise | 45,241 | TypeScript | chungyau97 | pooriaarab |
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'GooglePaLM'
this.name = 'GooglePaLM'
this.versi... | Recommend moving credential's description into `packages/components/credentials/GoogleMakerSuite.credential.ts`
Examples:
1. [packages/components/credentials/ConfluenceApi.credential.ts](https://github.com/FlowiseAI/Flowise/blob/main/packages/components/credentials/ConfluenceApi.credential.ts#L15)
2. [packages/com... | label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'GooglePaLM'
this.name = 'GooglePaLM'
this.versi... | @@ -0,0 +1,158 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { GooglePaLM, GooglePaLMTextInput } from 'langchain/llms/googlepalm'
+
+class GooglePaLM_LLMs implements INode {
+ ... | packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts | 26 | TypeScript | 0.571 | security | 470 | 51 | 51 | false | PaLM API LLM component | 882 | FlowiseAI/Flowise | 45,241 | TypeScript | chungyau97 | mdda |
optional: true,
additionalParams: true,
description:
'Top-p changes how the model selects tokens for output.\n' +
'Tokens are selected from most probable to least until ' +
'the sum of their probabilities equals ... | can we remove commented unused code? | optional: true,
additionalParams: true,
description:
'Top-p changes how the model selects tokens for output.\n' +
'Tokens are selected from most probable to least until ' +
'the sum of their probabilities equals ... | @@ -0,0 +1,140 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { ChatGooglePaLM, GooglePaLMChatInput } from 'langchain/chat_models/googlepalm'
+
+class ChatGooglePaLM_ChatModels ... | packages/components/nodes/chatmodels/ChatGooglePaLM/ChatGooglePaLM.ts | 26 | TypeScript | 0.143 | question | 36 | 51 | 51 | false | PaLM API Chat and Embedding components | 891 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | mdda |
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Upstash Redis-Backed Chat Memory'
this.name = 'UpstashRedisBackedChatMemory'
this.version = 1.0
this.t... | Can we put the token to credential file?
Here is an example PR - https://github.com/FlowiseAI/Flowise/pull/882/files | description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Upstash Redis-Backed Chat Memory'
this.name = 'upstashRedisBackedChatMemory'
this.version = 1.0
... | @@ -0,0 +1,131 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { ICommonObject } from '../../../src'
+import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
+import { UpstashRedisChatMessageHistory, UpstashRedisChatMessa... | packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts | 26 | TypeScript | 0.357 | security | 117 | 51 | 51 | false | Added Upstash Redis Memory support | 1,002 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | ayushjain6013 |
class UpstashRedisBackedChatMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Upstash Redis-Backed Chat Memo... | this default url is wrong, from the [docs](https://js.langchain.com/docs/modules/memory/integrations/upstash_redis) it has to be upstash url: `https://<your-url>.upstash.io` | label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Upstash Redis-Backed Chat Memory'
this.name = 'upstashR... | @@ -0,0 +1,131 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { ICommonObject } from '../../../src'
+import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
+import { UpstashRedisChatMessageHistory, UpstashRedisChatMessa... | packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts | 26 | TypeScript | 0.643 | bug | 173 | 51 | 51 | false | Added Upstash Redis Memory support | 1,002 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | ayushjain6013 |
import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { Document } from 'langchain/document'
import { handleEscapeCharacters } from '../../../src'
class PlainText_DocumentLoaders implements INode {
label: string
n... | can we upgrade the `this.version=2.0` for both nodes? | import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { TextSplitter } from 'langchain/text_splitter'
import { Document } from 'langchain/document'
import { handleEscapeCharacters } from '../../../src'
class PlainText_DocumentLoaders implements INode {
label: string
n... | @@ -12,6 +13,7 @@ class PlainText_DocumentLoaders implements INode {
category: string
baseClasses: string[]
inputs: INodeParams[]
+ outputs: INodeOutputsValue[]
constructor() {
this.label = 'Plain Text' | packages/components/nodes/documentloaders/PlainText/PlainText.ts | 19 | TypeScript | 0.357 | question | 53 | 44 | 44 | false | Text output for Text File and Plain Text components | 1,029 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | jan-stanek |
protected constructor() {
this.type = 'Redis'
this.icon = 'redis.svg'
this.category = 'Vector Stores'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.credential = {
label: 'Connect Credential',
name: 'credential',
... | maybe change the `label` to `Replace Index`? and we can have a description saying if selected, will delete the existing index and recreate a new one |
protected constructor() {
this.type = 'Redis'
this.icon = 'redis.svg'
this.category = 'Vector Stores'
this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
this.credential = {
label: 'Connect Credential',
name: 'credential',
... | @@ -0,0 +1,215 @@
+import {
+ getBaseClasses,
+ getCredentialData,
+ getCredentialParam,
+ ICommonObject,
+ INodeData,
+ INodeOutputsValue,
+ INodeParams
+} from '../../../src'
+
+import { Embeddings } from 'langchain/embeddings/base'
+import { VectorStore } from 'langchain/vectorstores/base'
+impo... | packages/components/nodes/vectorstores/Redis/RedisSearchBase.ts | 26 | TypeScript | 0.571 | suggestion | 148 | 51 | 51 | false | Feature/RedisVectorStore | 1,108 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
constructor() {
this.label = 'Vectara QA Chain'
this.name = 'vectaraQAChain'
this.version = 1.0
this.type = 'VectaraQAChain'
this.icon = 'vectara.png'
this.category = 'Chains'
this.description = 'QA chain for Vectara'
this.baseClasses = [this.type, ..... | Suggest we change the default to 10. |
constructor() {
this.label = 'Vectara QA Chain'
this.name = 'vectaraQAChain'
this.version = 1.0
this.type = 'VectaraQAChain'
this.icon = 'vectara.png'
this.category = 'Chains'
this.description = 'QA chain for Vectara'
this.baseClasses = [this.type, ..... | @@ -0,0 +1,147 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { VectorDBQAChain } from 'langchain/chains'
+import { Document } from 'langchain/document'
+import { VectaraStore } from 'langchain/vectorstores/vectara'
+import fetch f... | packages/components/nodes/chains/VectaraChain/VectaraChain.ts | 26 | TypeScript | 0.143 | suggestion | 36 | 51 | 51 | false | Feature/Add vectara chain | 1,259 | FlowiseAI/Flowise | 45,241 | TypeScript | ofermend | HenryHengZJ |
import { VectaraStore } from 'langchain/vectorstores/vectara'
import fetch from 'node-fetch'
class VectaraChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
baseClasses: string[]
description: string
inputs: INodePara... | Suggest: "label: 'Vectara Store'" | import { VectaraStore } from 'langchain/vectorstores/vectara'
import fetch from 'node-fetch'
class VectaraChain_Chains implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
baseClasses: string[]
description: string
inputs: INodePara... | @@ -0,0 +1,147 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { VectorDBQAChain } from 'langchain/chains'
+import { Document } from 'langchain/document'
+import { VectaraStore } from 'langchain/vectorstores/vectara'
+import fetch f... | packages/components/nodes/chains/VectaraChain/VectaraChain.ts | 26 | TypeScript | 0.071 | suggestion | 33 | 51 | 51 | false | Feature/Add vectara chain | 1,259 | FlowiseAI/Flowise | 45,241 | TypeScript | ofermend | HenryHengZJ |
]
}
async init(): Promise<any> {
return null
}
async run(nodeData: INodeData, input: string): Promise<object> {
const vectorStore = nodeData.inputs?.vectaraStore as VectaraStore
const topK = (vectorStore as any)?.k ?? 4
const headers = await vectorStore.getJson... | Suggest make this 7 instead of 6 | {
label: 'Summarizer Prompt Name',
name: 'summarizerPromptName',
description:
'Summarize the results fetched from Vectara. Read <a target="_blank" href="https://docs.vectara.com/docs/learn/grounded-generation/select-a-summarizer">more</a>',... | @@ -0,0 +1,147 @@
+import { INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { VectorDBQAChain } from 'langchain/chains'
+import { Document } from 'langchain/document'
+import { VectaraStore } from 'langchain/vectorstores/vectara'
+import fetch f... | packages/components/nodes/chains/VectaraChain/VectaraChain.ts | 26 | TypeScript | 0.143 | suggestion | 32 | 51 | 51 | false | Feature/Add vectara chain | 1,259 | FlowiseAI/Flowise | 45,241 | TypeScript | ofermend | HenryHengZJ |
import { INodeParams, INodeCredential } from '../src/Interface'
class ElasticSearchUserPassword implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'ElasticSearch User Password'
this.name... | can we add a `description` to explain how to get Cloud ID OR what is custom server URL? Better if it has link to docs like [here](https://github.com/FlowiseAI/Flowise/blob/main/packages/components/credentials/AWSCredential.credential.ts#L16) | import { INodeParams, INodeCredential } from '../src/Interface'
class ElasticSearchUserPassword implements INodeCredential {
label: string
name: string
version: number
description: string
inputs: INodeParams[]
constructor() {
this.label = 'ElasticSearch User Password'
this.name... | @@ -15,7 +15,7 @@ class ElasticSearchUserPassword implements INodeCredential {
'Refer to <a target="_blank" href="https://www.elastic.co/guide/en/kibana/current/tutorial-secure-access-to-kibana.html">official guide</a> on how to get User Password from ElasticSearch'
this.inputs = [
{
... | packages/components/credentials/ElectricsearchUserPassword.credential.ts | 19 | TypeScript | 0.643 | security | 241 | 37 | 37 | false | Enable inserting custom URL using basic auth | 1,262 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | tirongi |
;(vectorStore as any).k = k
return vectorStore
}
return vectorStore
}
protected prepareConnectionOptions(
endPoint: string | undefined,
cloudId: string | undefined,
credentialData: ICommonObject,
nodeData: INodeData
) {
let ela... | these 2 lines are redundant as its already declared above | ;(vectorStore as any).k = k
return vectorStore
}
return vectorStore
}
protected prepareConnectionOptions(
endPoint: string | undefined,
cloudId: string | undefined,
credentialData: ICommonObject,
nodeData: INodeData
) {
let ela... | @@ -144,15 +144,30 @@ export abstract class ElasticSearchBase {
} else if (cloudId) {
let username = getCredentialParam('username', credentialData, nodeData)
let password = getCredentialParam('password', credentialData, nodeData)
- elasticSearchClientOptions = {
- ... | packages/components/nodes/vectorstores/Elasticsearch/ElasticSearchBase.ts | 26 | TypeScript | 0.214 | suggestion | 57 | 51 | 51 | false | Enable inserting custom URL using basic auth | 1,262 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | tirongi |
const result = validationResult(req)
if (!result.isEmpty()) {
throw new Error(`Credential ${name} not found`)
}
if (!req.params.name.includes('&')) {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentCredentials, req.para... | for every validation, do we have to create another `const name`? can we just use the `req.params.name` so that when we remove this `notEmpty().escape()` check in future we have less work to do | if (!req.params.name.includes('&')) {
if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentCredentials, req.params.name)) {
return res.json(this.nodesPool.componentCredentials[req.params.name])
} else {
throw new Error(`Cred... | @@ -210,9 +224,14 @@ export class App {
})
// Returns specific component node icon via name
- this.app.get('/api/v1/node-icon/:name', (req: Request, res: Response) => {
- if (Object.prototype.hasOwnProperty.call(this.nodesPool.componentNodes, req.params.name)) {
- co... | packages/server/src/index.ts | 26 | TypeScript | 0.571 | security | 192 | 51 | 51 | false | Bugfix/xss | 1,327 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const endingNodeId = getEndingNode(nodeDependencies, graph)
if (!endingNodeId) return res.status(500).send(`Ending node ${endingNodeId} not found`)
const endingNodeData = nodes.find((nd) => nd.id === endi... | all these query are optional. by declaring this as `notEmpty()`, a basic API call to get chat messages without these query will fail | startDate,
endDate
)
return res.json(chatmessages)
})
// Get internal chatmessages from chatflowid
this.app.get('/api/v1/internal-chatmessage/:id', async (req: Request, res: Response) => {
const chatmessages = await this.getCha... | @@ -402,58 +466,84 @@ export class App {
// ----------------------------------------
// Get all chatmessages from chatflowid
- this.app.get('/api/v1/chatmessage/:id', async (req: Request, res: Response) => {
- const sortOrder = req.query?.order as string | undefined
- co... | packages/server/src/index.ts | 26 | TypeScript | 0.5 | bug | 132 | 51 | 51 | false | Bugfix/xss | 1,327 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
// ----------------------------------------
// Get all chatflows
this.app.get('/api/v1/chatflows', async (req: Request, res: Response) => {
const chatflows: IChatFlow[] = await getAllChatFlow()
return res.json(chatflows)
})
// Get specific chatflow via a... | Should be `Chatflow not found` right? we are getting chatflows from apikey | .getMany()
if (chatflows.length >= 1) return res.status(200).send(chatflows)
return res.status(404).send('Chatflow not found')
} catch (err: any) {
return res.status(500).send(err?.message)
}
})
// Get specific ... | @@ -293,14 +326,19 @@ export class App {
.orderBy('cf.name', 'ASC')
.getMany()
if (chatflows.length >= 1) return res.status(200).send(chatflows)
- return res.status(404).send('Chatflow not found')
+ return res.status(404).send('API... | packages/server/src/index.ts | 26 | TypeScript | 0.429 | suggestion | 75 | 51 | 51 | false | Bugfix/xss | 1,327 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
const packagejsonPath = getPackageJsonPath()
if (!packagejsonPath) return res.status(404).send('Version not found')
try {
const content = await fs.promises.readFile(packagejsonPath, 'utf8')
const parsedContent = JSON.parse(content)
ret... | The API above this `'/api/v1/vector/upsert/:id` also need to be updated | const templates: any[] = []
jsonsInDir.forEach((file, index) => {
const filePath = path.join(__dirname, '..', 'marketplaces', 'tools', file)
const fileData = fs.readFileSync(filePath)
const fileDataObj = JSON.parse(fileData.toString())
... | @@ -1032,7 +1181,11 @@ export class App {
}
)
- this.app.post('/api/v1/vector/internal-upsert/:id', async (req: Request, res: Response) => {
+ this.app.post('/api/v1/vector/internal-upsert/:id', param('id').notEmpty().escape(), async (req: Request, res: Response) => { | packages/server/src/index.ts | 26 | TypeScript | 0.357 | suggestion | 71 | 51 | 51 | false | Bugfix/xss | 1,327 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const credentialData = await getCr... | think we can standardize and use `parseFloat` | name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const credentialData = await getCr... | @@ -0,0 +1,108 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { BaseCache } from 'langchain/schema'
+import { ChatGoogleGenerativeAI } from '@langchain/google-genai'
+
+class Go... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.286 | suggestion | 45 | 37 | 37 | false | FEATURE/Google Gemini - Support for Chat Model, Credential & Embeddings | 1,396 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
import { Moderation } from '../Moderation'
import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
private readonly model: BaseChatModel
cons... | denyString can be empty string, if there are trailing \n | import { Moderation } from '../Moderation'
import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
private readonly model: BaseChatModel
cons... | @@ -1,23 +1,38 @@
import { Moderation } from '../Moderation'
+import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
+ private readonly model... | packages/components/nodes/moderation/SimplePromptModeration/SimplePromptModerationRunner.ts | 23 | TypeScript | 0.214 | suggestion | 56 | 39 | 40 | false | Feature/LLM Moderation | 1,439 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | HenryHengZJ |
import { Moderation } from '../Moderation'
import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
private readonly model: BaseChatModel
cons... | can we not send the entire denyList and make one LLM call with an adjusted prompt? | import { Moderation } from '../Moderation'
import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
private readonly model: BaseChatModel
cons... | @@ -1,23 +1,38 @@
import { Moderation } from '../Moderation'
+import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
+ private readonly model... | packages/components/nodes/moderation/SimplePromptModeration/SimplePromptModerationRunner.ts | 24 | TypeScript | 0.214 | question | 82 | 39 | 40 | false | Feature/LLM Moderation | 1,439 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | HenryHengZJ |
async init(): Promise<any> {
return null
}
async run(nodeData: INodeData, input: string): Promise<object> {
const vectorStore = nodeData.inputs?.vectaraStore as VectaraStore
const responseLang = (nodeData.inputs?.responseLang as string) ?? 'eng'
const summarizerPromptName = ... | can we add a comment above to the docs link - https://docs.vectara.com/docs/api-reference/search-apis/reranking, as in why the hardcoded value | async init(): Promise<any> {
return null
}
async run(nodeData: INodeData, input: string): Promise<object> {
const vectorStore = nodeData.inputs?.vectaraStore as VectaraStore
const responseLang = (nodeData.inputs?.responseLang as string) ?? 'eng'
const summarizerPromptName = ... | @@ -247,17 +248,30 @@ class VectaraChain_Chains implements INode {
lexicalInterpolationConfig: { lambda: vectaraFilter?.lambda ?? 0.025 }
}))
+ const mmrRerankerId = 272725718 // Vectara reranker ID for MMR | packages/components/nodes/chains/VectaraChain/VectaraChain.ts | 26 | TypeScript | 0.357 | suggestion | 142 | 51 | 51 | false | added support for MMR | 1,462 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | ofermend |
type: 'number',
additionalParams: true,
optional: true
},
{
label: 'Top K',
name: 'topK',
description: 'Number of top results to fetch. Defaults to 5',
placeholder: '5',
... | maybe we can add more details like:
```
The diversity bias to use for MMR, ranging between 0.0 and 1.0. Values closer to 1.0 optimize for the most diverse results. Defaults to 0 (MMR disabled)
```
and specify `step: 0.1` | type: 'number',
additionalParams: true,
optional: true
},
{
label: 'Top K',
name: 'topK',
description: 'Number of top results to fetch. Defaults to 5',
placeholder: '5',
... | @@ -82,16 +82,36 @@ class Vectara_VectorStores implements INode {
label: 'Lambda',
name: 'lambda',
description:
- 'Improves retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.',
+ ... | packages/components/nodes/vectorstores/Vectara/Vectara.ts | 26 | TypeScript | 0.857 | performance | 224 | 51 | 51 | false | added support for MMR | 1,462 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | ofermend |
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['LocalAIApi'],
optional: true
}
const modelOptions = JSON.parse(process.env.LOCALAI_CHAT_MODELS || '[]');
this.inputs = [
{
... | Thanks for the suggestion! We didn't use `options` because we didn't want to limit the selections, hence added as `string` so that user can just specify the model they have in LocalAI.
Other users might face confusion as in why there is no selection available unless they read the repo carefully and realize they have... | label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['localAIApi'],
optional: true
}
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache... | @@ -41,8 +52,10 @@ class ChatLocalAI_ChatModels implements INode {
{
label: 'Model Name',
name: 'modelName',
- type: 'string',
- placeholder: 'gpt4all-lora-quantized.bin'
+ type: 'options', | packages/components/nodes/chatmodels/ChatLocalAI/ChatLocalAI.ts | 26 | TypeScript | 0.643 | suggestion | 546 | 51 | 51 | false | FEATURE: LocalAI Credential, Optional LocalAI Auth, Model list env var | 1,495 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | kkacsh321 |
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Output Tokens',
name: 'maxOutputTokens... | Can we change the label to be more intuitive ? and add a description as well : _'Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive'_
Also see:: https://github.com/FlowiseAI/Flowise/pull/1523#discussion_r1452944718 | {
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Output Tokens',
name: 'maxOutputTokens... | @@ -74,6 +76,72 @@ class GoogleGenerativeAI_ChatModels implements INode {
step: 0.1,
optional: true,
additionalParams: true
+ },
+ {
+ label: 'topK', | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.5 | question | 260 | 51 | 51 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams... | https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_attribute_definitions | step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams... | @@ -74,6 +76,72 @@ class GoogleGenerativeAI_ChatModels implements INode {
step: 0.1,
optional: true,
additionalParams: true
+ },
+ {
+ label: 'topK',
+ name: 'topK',
+ type: 'number',
+ s... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.357 | suggestion | 121 | 51 | 51 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
{
label: 'Dangerous',
name: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT
},
{
label: 'Harassment',
name: HarmCategory.HARM_CATEGORY_HARASSMENT
}... | https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_setting_thresholds | options: [
{
label: 'Dangerous',
name: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT
},
{
label: 'Harassment',
name: HarmCategory.HARM_CATEGORY_HARAS... | @@ -74,6 +76,72 @@ class GoogleGenerativeAI_ChatModels implements INode {
step: 0.1,
optional: true,
additionalParams: true
+ },
+ {
+ label: 'topK',
+ name: 'topK',
+ type: 'number',
+ s... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.357 | suggestion | 118 | 51 | 51 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
'Refer to <a target="_blank" href="https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#gemini-TASK-samples-go">official guide</a> on how to use Harm Block Threshold',
options: [
{
label: 'Low and Abo... | default: BLOCK_MEDIUM_AND_ABOVE | description:
'Refer to <a target="_blank" href="https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_setting_thresholds">official guide</a> on how to use Harm Block Threshold',
options: [
{
... | @@ -74,6 +76,72 @@ class GoogleGenerativeAI_ChatModels implements INode {
step: 0.1,
optional: true,
additionalParams: true
+ },
+ {
+ label: 'topK',
+ name: 'topK',
+ type: 'number',
+ s... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.071 | suggestion | 31 | 51 | 51 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
if (safetySettings.length > 0) model.safetySettings = safetySettings
return model
}
}
const categoryInput = (categoryInput: string): HarmCategory => {
let categoryOutput: HarmCategory
switch (categoryInput) {
case HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT:
categoryOu... | switch statement that is somewhat redundant because each case simply assigns the same value that was input to categoryOutput.
```typescript
const categoryInput = (input: string): HarmCategory => {
return Object.values(HarmCategory).includes(input as any) ? input as HarmCategory : HarmCategory.HARM_CATEGORY_UNS... | import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { convertMultiOptionsToStringArray, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { BaseCache } from 'langchain/schema'
import { ChatGoogleGenerativeAI, GoogleGenerativeAIChatInput } f... | @@ -98,10 +169,67 @@ class GoogleGenerativeAI_ChatModels implements INode {
const model = new ChatGoogleGenerativeAI(obj)
if (topP) model.topP = parseFloat(topP)
+ if (topK) model.topP = parseFloat(topK)
if (cache) model.cache = cache
if (temperature) model.temperature = par... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 1 | suggestion | 337 | 50 | 195 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
categoryOutput = HarmCategory.HARM_CATEGORY_UNSPECIFIED
}
return categoryOutput
}
const thresholdInput = (thresholdInput: string): HarmBlockThreshold => {
let thresholdOutput: HarmBlockThreshold
switch (thresholdInput) {
case HarmBlockThreshold.BLOCK_LOW_AND_ABOVE:
thres... | same comment as categoryOutput | import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { convertMultiOptionsToStringArray, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { BaseCache } from 'langchain/schema'
import { ChatGoogleGenerativeAI, GoogleGenerativeAIChatInput } f... | @@ -98,10 +169,67 @@ class GoogleGenerativeAI_ChatModels implements INode {
const model = new ChatGoogleGenerativeAI(obj)
if (topP) model.topP = parseFloat(topP)
+ if (topK) model.topP = parseFloat(topK)
if (cache) model.cache = cache
if (temperature) model.temperature = par... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.071 | suggestion | 30 | 28 | 195 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
message: m.content as string,
type: 'userMessage'
})
} else if (m._getType() === 'ai') {
formatmessages.push({
message: m.content as string,
type: 'apiMessage'
})
} else if (m._getType() === 'system') {
... | `if` might be redundant due to the try / catch inside | message: m.content as string,
type: 'userMessage'
})
} else if (m._getType() === 'ai') {
formatmessages.push({
message: m.content as string,
type: 'apiMessage'
})
} else if (m._getType() === 'system') {
... | @@ -673,3 +673,20 @@ export const convertBaseMessagetoIMessage = (messages: BaseMessage[]): IMessage[
}
return formatmessages
}
+
+/**
+ * Convert MultiOptions String to String Array
+ * @param {string} inputString
+ * @returns {string[]}
+ */
+export const convertMultiOptionsToStringArray = (inputString: st... | packages/components/src/utils.ts | 26 | TypeScript | 0.357 | suggestion | 53 | 35 | 33 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Output Tokens',
name: 'maxOutputTokens',
type: 'number',
step: 1,
optional: tru... | step should be 1.
**from the documentation**
_Top-K changes how the model selects tokens for output. A top-K of 1 means the next selected token is the most probable among all tokens in the model's vocabulary (also called greedy decoding), while a top-K of 3 means that the next token is selected from among the thre... | type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Output Tokens',
name: 'maxOutputTokens',
type: 'number',
step: 1,
optional: tru... | @@ -74,6 +76,72 @@ class GoogleGenerativeAI_ChatModels implements INode {
step: 0.1,
optional: true,
additionalParams: true
+ },
+ {
+ label: 'topK',
+ name: 'topK',
+ type: 'number',
+ s... | packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts | 26 | TypeScript | 0.5 | suggestion | 747 | 51 | 51 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
message: m.content as string,
type: 'userMessage'
})
} else if (m._getType() === 'ai') {
formatmessages.push({
message: m.content as string,
type: 'apiMessage'
})
} else if (m._getType() === 'system') {
... | oops, I meant the other way around. this would enable us to catch all misinformed JSON as well, in addition to null/undefined/empty...
try {
ArrayString = JSON.parse(....)
}catch(Error e) {
ArrayString = []
} | message: m.content as string,
type: 'userMessage'
})
} else if (m._getType() === 'ai') {
formatmessages.push({
message: m.content as string,
type: 'apiMessage'
})
} else if (m._getType() === 'system') {
... | @@ -673,3 +673,15 @@ export const convertBaseMessagetoIMessage = (messages: BaseMessage[]): IMessage[
}
return formatmessages
}
+
+/**
+ * Convert MultiOptions String to String Array
+ * @param {string} inputString
+ * @returns {string[]}
+ */
+export const convertMultiOptionsToStringArray = (inputString: st... | packages/components/src/utils.ts | 26 | TypeScript | 0.571 | suggestion | 215 | 30 | 33 | false | add TopK and safetySettings into Google Gemini | 1,523 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | chungyau97 |
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... | I dont think we want to remove this `environment`. As some are still using it. A better way is to create a separate credential file specifically for the serverless | 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... | @@ -16,11 +16,6 @@ class PineconeApi implements INodeCredential {
label: 'Pinecone Api Key',
name: 'pineconeApiKey',
type: 'password' | packages/components/credentials/PineconeApi.credential.ts | 18 | TypeScript | 0.571 | security | 163 | 30 | 25 | false | support pinecone serverless indexes | 1,561 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | niztal |
try {
let docs = []
const loader = new CheerioWebBaseLoader(url, params)
if (textSplitter) {
docs = await loader.loadAndSplit(textSplitter)
} else {
docs = await loader.load()
}
... | Can we use the logger instead of console for DEBUG ? | async function cheerioLoader(url: string): Promise<any> {
try {
let docs = []
const loader = new CheerioWebBaseLoader(url, params)
if (textSplitter) {
docs = await loader.loadAndSplit(textSplitter)
} else {
... | @@ -127,13 +128,22 @@ class Cheerio_DocumentLoaders implements INode {
if (!limit) limit = '10'
else if (parseInt(limit) < 0) throw new Error('Limit cannot be less than 0')
const pages: string[] =
- relativeLinksMethod === 'webCrawl' ? await webCrawl(url, parseInt(l... | packages/components/nodes/documentloaders/Cheerio/Cheerio.ts | 26 | TypeScript | 0.429 | bug | 52 | 51 | 51 | false | FEATURE: Select which links should be used in web scraper nodes (cheerio, puppeteer, and playwright) | 1,566 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | 0xi4o |
let params: WebBaseLoaderParams = {}
if (selector) {
parse(selector) // comes with cheerio - will throw error if invalid
params['selector'] = selector
}
async function cheerioLoader(url: string): Promise<any> {
try {
let docs = []
... | Minor Readability:: avoid multiple calls to parseInt |
let params: WebBaseLoaderParams = {}
if (selector) {
parse(selector) // comes with cheerio - will throw error if invalid
params['selector'] = selector
}
async function cheerioLoader(url: string): Promise<any> {
try {
let docs = []
... | @@ -127,13 +128,22 @@ class Cheerio_DocumentLoaders implements INode {
if (!limit) limit = '10'
else if (parseInt(limit) < 0) throw new Error('Limit cannot be less than 0') | packages/components/nodes/documentloaders/Cheerio/Cheerio.ts | 26 | TypeScript | 0.286 | nitpick | 52 | 51 | 51 | false | FEATURE: Select which links should be used in web scraper nodes (cheerio, puppeteer, and playwright) | 1,566 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | 0xi4o |
</Box>
<Box sx={{ width: 'auto', flexGrow: 1 }}>
<IconButton
sx={{ height: 30, width: 30 }}
size='small'
... | dialogProps.cancelButtonName ? | name={`link_${index}`}
/>
</Box>
<Box sx={{ width: 'auto', flexGrow: 1 }}>
<IconButton
... | @@ -0,0 +1,184 @@
+import PropTypes from 'prop-types'
+import { createPortal } from 'react-dom'
+import { useDispatch } from 'react-redux'
+import { useState, useEffect } from 'react'
+
+import {
+ Box,
+ Button,
+ Dialog,
+ DialogActions,
+ DialogContent,
+ DialogTitle,
+ FormControl,
+ IconBut... | packages/ui/src/ui-component/dialog/ManageScrapedLinksDialog.js | 26 | JavaScript | 0.071 | question | 30 | 45 | 45 | false | FEATURE: Select which links should be used in web scraper nodes (cheerio, puppeteer, and playwright) | 1,566 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | 0xi4o |
warning: `Retrieving all links might take long time, and all links will be upserted again if the flow's state changed (eg: different URL, chunk size, etc)`
},
{
label: 'Selector (CSS)',
name: 'selector',
type: 'string',
... | can we set the default value in the inputs to 10 ? | 'Only used when "Get Relative Links Method" is selected. Set 0 to retrieve all relative links, default limit is 10.',
warning: `Retrieving all links might take long time, and all links will be upserted again if the flow's state changed (eg: different URL, chunk size, etc)`
... | @@ -90,6 +90,7 @@ class Cheerio_DocumentLoaders implements INode {
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
const metadata = nodeData.inputs?.metadata
const relativeLinksMethod = nodeData.inputs?.relativeLinksMethod as string
+ const selectedLinks = nodeData.i... | packages/components/nodes/documentloaders/Cheerio/Cheerio.ts | 26 | TypeScript | 0.214 | question | 50 | 51 | 51 | false | FEATURE: Select which links should be used in web scraper nodes (cheerio, puppeteer, and playwright) | 1,566 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | 0xi4o |
try {
const nodeInstanceFilePath = componentNodes[reactFlowNode.data.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const newNodeInstance = new nodeModule.nodeClass()
let flowNodeData = cloneDeep(reactFlowNode.data)
if ... | @0xi4o actually ignore me, my bad i was testing on diff branch. The addition of this make it not working. I think its fine as it is. If you can just remove this |
try {
const nodeInstanceFilePath = componentNodes[reactFlowNode.data.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const newNodeInstance = new nodeModule.nodeClass()
let flowNodeData = cloneDeep(reactFlowNode.data)
if... | @@ -328,6 +328,14 @@ export const buildLangchain = async (
logger.debug(`[server]: Finished upserting ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
break
} else {
+ // skip initializing web scraper nodes during prediction since they would have alr... | packages/server/src/utils/index.ts | 26 | TypeScript | 0.429 | refactor | 161 | 51 | 51 | false | FEATURE: Select which links should be used in web scraper nodes (cheerio, puppeteer, and playwright) | 1,566 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | 0xi4o |
this.chatflowPool.activeChatflows[chatflowid].overrideConfig,
incomingInput.overrideConfig
) &&
!isStartNodeDependOnInput(this.chatflowPool.activeChatflows[chatflowid].startingNodes, nodes)
)
}
... | To solve the double run issue, we can move the isEndingNode logic to the top of the init function and then reuse the variable down here:
```
const isEndingNode = nodeData?.outputs?.output === 'EndingNode'
if (isEndingNode && !options.isRun) return
``` | * - Node Data already exists in pool
* - Still in sync (i.e the flow has not been modified since)
* - Existing overrideConfig and new overrideConfig are the same
* - Flow doesn't start with/contain nodes that depend on incomingInput.question
* TODO: conve... | @@ -1652,20 +1656,20 @@ export class App {
const endingNodeData = endingNode.data
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNode.id} data not found`)
- if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.... | packages/server/src/index.ts | 26 | TypeScript | 0.857 | nitpick | 261 | 51 | 51 | false | Allows CustomFunction to be set as an Ending Node. | 1,591 | FlowiseAI/Flowise | 45,241 | TypeScript | Jaredude | mokeyish |
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
}
sandbox[`$${item}`] = value
}
}
const builtinDeps = process.env.TOOL_FUNCTION_BUILTIN_DEP
? defaultAllowBuiltInDep.concat(process.en... | To solve the double run issue, we can move the isEndingNode logic to the top of the init function and then reuse the variable down here:
```
const isEndingNode = nodeData?.outputs?.output === 'EndingNode'
if (isEndingNode && !options.isRun) return
``` | if (Object.keys(inputVars).length) {
for (const item in inputVars) {
let value = inputVars[item]
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
}
sandbox[`$${item}`] = value
... | @@ -123,14 +128,20 @@ class CustomFunction_Utilities implements INode {
const vm = new NodeVM(nodeVMOptions)
try {
const response = await vm.run(`module.exports = async function() {${javascriptFunction}}()`, __dirname)
- if (typeof response === 'string') {
+ const is... | packages/components/nodes/utilities/CustomFunction/CustomFunction.ts | 26 | TypeScript | 0.857 | nitpick | 261 | 43 | 45 | false | Allows CustomFunction to be set as an Ending Node. | 1,591 | FlowiseAI/Flowise | 45,241 | TypeScript | Jaredude | mokeyish |
name: 'curie'
},
{
label: 'text-curie-001',
name: 'text-curie-001'
},
{
label: 'davinci',
name: 'davinci'
... | these are already available on `Azure ChatOpenAI` no? | name: 'curie'
},
{
label: 'text-curie-001',
name: 'text-curie-001'
},
{
label: 'davinci',
name: 'davinci'
... | @@ -89,6 +89,14 @@ class AzureOpenAI_LLMs implements INode {
{
label: 'gpt-35-turbo',
name: 'gpt-35-turbo'
+ }, | packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts | 26 | TypeScript | 0.357 | question | 53 | 51 | 51 | false | Added support for gpt-4 and gpt-4-32k models | 1,599 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | dkindlund |
async stopApp() {
try {
const removePromises: any[] = []
removePromises.push(this.telemetry.flush())
await Promise.all(removePromises)
} catch (e) {
logger.error(`❌[server]: Flowise Server shut down error: ${e}`)
}
}
}
let serverApp: App |... | the function looks the same as the one above, is it possible to refractor into a single function? |
let serverApp: App | undefined
export async function getAllChatFlow(): Promise<IChatFlow[]> {
return await getDataSource().getRepository(ChatFlow).find()
}
export async function start(): Promise<void> {
serverApp = new App()
const port = parseInt(process.env.PORT || '', 10) || 3000
const server = ht... | @@ -1863,7 +1885,14 @@ export async function start(): Promise<void> {
const io = new Server(server, {
cors: {
- origin: '*'
+ origin: function (origin: string | undefined, callback: (err: Error | null, allow?: boolean) => void) { | packages/server/src/index.ts | 26 | TypeScript | 0.214 | question | 97 | 48 | 29 | false | Implementing CORS and CSP headers from config | 1,608 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | automaton82 |
})
break
default:
homePath = process.env.DATABASE_PATH ?? flowisePath
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize: false,
migratio... | See comment above. getDatabaseSSLFromEnv should return
```
{
ssl: {
self signed ssl attributes
}
}
```
and below should return
{
ssl: true
}
the final return of {} will return an empty object that will spread to nothing and allow pg node to continue to use PGSQLMODE as the lib is designed.
... | })
break
default:
homePath = process.env.DATABASE_PATH ?? flowisePath
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize: false,
migratio... | @@ -89,3 +79,15 @@ export function getDataSource(): DataSource {
}
return appDataSource
}
+
+const getDatabaseSSLFromEnv = () => {
+ if (process.env.DATABASE_SSL_KEY_BASE64) {
+ return { | packages/server/src/DataSource.ts | 26 | TypeScript | 0.857 | suggestion | 489 | 35 | 35 | false | mysql-ssl | 1,634 | FlowiseAI/Flowise | 45,241 | TypeScript | Jaredude | niztal |
default:
homePath = process.env.DATABASE_PATH ?? flowisePath
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize: false,
migrationsRun: false,
ent... | @Jaredude have you tested it?
I think it should be like this:
`Buffer.from(process.env.DATABASE_SSL_KEY_BASE64, 'base64').toString('utf-8')`
| default:
homePath = process.env.DATABASE_PATH ?? flowisePath
appDataSource = new DataSource({
type: 'sqlite',
database: path.resolve(homePath, 'database.sqlite'),
synchronize: false,
migrationsRun: false,
ent... | @@ -89,3 +79,15 @@ export function getDataSource(): DataSource {
}
return appDataSource
}
+
+const getDatabaseSSLFromEnv = () => {
+ if (process.env.DATABASE_SSL_KEY_BASE64) {
+ return {
+ rejectUnauthorized: false,
+ ca: Buffer.from(process.env.DATABASE_SSL_KEY_BASE64, 'base6... | packages/server/src/DataSource.ts | 26 | TypeScript | 0.571 | suggestion | 151 | 33 | 33 | false | mysql-ssl | 1,634 | FlowiseAI/Flowise | 45,241 | TypeScript | niztal | niztal |
}
const similaritySearchVectorWithScore = async (
query: number[],
k: number,
tableName: string,
postgresConnectionOptions: ICommonObject,
filter?: any
) => {
const embeddingString = `[${query.join(',')}]`
const _filter = filter ?? '{}'
const queryString = `
SELECT *, embedding... | Can we use the ... additionalConfig? Instead of just ssl | ) => {
const embeddingString = `[${query.join(',')}]`
const _filter = filter ?? '{}'
const queryString = `
SELECT *, embedding <=> $1 as "_distance"
FROM ${tableName}
WHERE metadata @> $2
ORDER BY "_distance" ASC
LIMIT $3;`
const pool = new Pool(postgresConnecti... | @@ -253,7 +253,8 @@ const similaritySearchVectorWithScore = async (
port: postgresConnectionOptions.port,
user: postgresConnectionOptions.username,
password: postgresConnectionOptions.password,
- database: postgresConnectionOptions.database
+ database: postgresConnectionOptions.... | packages/components/nodes/vectorstores/Postgres/Postgres.ts | 26 | TypeScript | 0.286 | question | 56 | 48 | 32 | false | Fixing Postgres so that similaritySearchVectorWithScore actually connects via TLS/SSL when specified | 1,677 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | dkindlund |
for (const checkPath of checkPaths) {
if (fs.existsSync(checkPath)) {
return checkPath
}
}
return ''
}
const packagejsonPath = getPackageJsonPath()
if (!packagejsonPath) r... | Check if `relativeLinksMethod` is empty; if so, return an error prompting the user to select a method.
If not in line 1153: will keep call `xmlScrape` | for (const checkPath of checkPaths) {
if (fs.existsSync(checkPath)) {
return checkPath
}
}
return ''
}
const packagejsonPath = getPackageJsonPath()
if (!packagejsonPath) r... | @@ -1148,8 +1148,9 @@ export class App {
this.app.get('/api/v1/fetch-links', async (req: Request, res: Response) => {
const url = decodeURIComponent(req.query.url as string)
const relativeLinksMethod = req.query.relativeLinksMethod as string | packages/server/src/index.ts | 26 | TypeScript | 0.714 | suggestion | 154 | 51 | 51 | false | Fix: relative links method and limit not applying to manage links | 1,687 | FlowiseAI/Flowise | 45,241 | TypeScript | chungyau97 | 0xi4o |
if (!packagejsonPath) return res.status(404).send('Version not found')
try {
const content = await fs.promises.readFile(packagejsonPath, 'utf8')
const parsedContent = JSON.parse(content)
return res.json({ version: parsedContent.version })
... | Add console `Finish ${relativeLinksMethod}` | if (!packagejsonPath) return res.status(404).send('Version not found')
try {
const content = await fs.promises.readFile(packagejsonPath, 'utf8')
const parsedContent = JSON.parse(content)
return res.json({ version: parsedContent.version })
... | @@ -1148,8 +1148,9 @@ export class App {
this.app.get('/api/v1/fetch-links', async (req: Request, res: Response) => {
const url = decodeURIComponent(req.query.url as string)
const relativeLinksMethod = req.query.relativeLinksMethod as string
+ const limit = parseInt(req.que... | packages/server/src/index.ts | 26 | TypeScript | 0.214 | suggestion | 43 | 51 | 51 | false | Fix: relative links method and limit not applying to manage links | 1,687 | FlowiseAI/Flowise | 45,241 | TypeScript | chungyau97 | 0xi4o |
type: {
S: string
}
text: {
S: string
}
role?: {
S: string
}
}
}
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
tableName = ''
sessionId = ''
dynamodbClient: DynamoDBClient
dynamoKey = '... | I'm not sure why its coming from `chatHistory`, I think a better way is to pass through the initilization of `BufferMemoryExtended` at line 121? | partitionKey: string
dynamoKey: Record<string, AttributeValue>
}
interface DynamoDBSerializedChatMessage {
M: {
type: {
S: string
}
text: {
S: string
}
role?: {
S: string
}
}
}
class BufferMemoryExtended extends Flowis... | @@ -142,18 +142,26 @@ interface DynamoDBSerializedChatMessage {
}
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
+ tableName = ''
sessionId = ''
dynamodbClient: DynamoDBClient
+ dynamoKey = ''
+ partitionKey = ''
constructor(fields: BufferMemoryInput & BufferMe... | packages/components/nodes/memory/DynamoDb/DynamoDb.ts | 26 | TypeScript | 0.714 | question | 144 | 51 | 51 | false | DynamoDB Chat Memory fix | 1,697 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Jaredude |
endDate?: string
): Promise<ChatMessage[]> {
let fromDate
if (startDate) fromDate = new Date(startDate)
let toDate
if (endDate) toDate = new Date(endDate)
return await this.AppDataSource.getRepository(ChatMessage).find({
where: {
chatflow... | couldn't remember why we have the `isNull()` in the first place, but would you be able to check from the View Message dialog on UI, that it still works as expected | sessionId?: string,
startDate?: string,
endDate?: string,
messageId?: string
): Promise<ChatMessage[]> {
const setDateToStartOrEndOfDay = (dateTimeStr: string, setHours: 'start' | 'end') => {
const date = new Date(dateTimeStr)
if (isNaN(date.getTime())... | @@ -1453,7 +1453,7 @@ export class App {
chatflowid,
chatType,
chatId,
- memoryType: memoryType ?? (chatId ? IsNull() : undefined),
+ memoryType: memoryType ?? undefined, | packages/server/src/index.ts | 26 | TypeScript | 0.714 | suggestion | 163 | 51 | 51 | false | fixes bug where querying by chatId results in no records | 1,716 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | Jaredude |
import { IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ZepMemory, ZepMemoryInput } from '@getzep/zep-cloud/langchain'
import { ICommonO... | instead of creating a new node, what do u think if we just add a new `options` field to the `ZepMemory` that allow users to select OpenSource or Cloud, then according to selection, use the respective library for init | import { IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ZepMemory, ZepMemoryInput } from '@getzep/zep-cloud/langchain'
import { ICommonO... | @@ -0,0 +1,181 @@
+import { IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface' | packages/components/nodes/memory/ZepMemoryCloud/ZepMemoryCloud.ts | 1 | TypeScript | 0.786 | suggestion | 216 | 26 | 26 | false | Zep cloud setup | 1,760 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | paul-paliychuk |
import { flatten } from 'lodash'
import { IDocument, ZepClient } from '@getzep/zep-cloud'
import { IZepConfig, ZepVectorStore } from '@getzep/zep-cloud/langchain'
import { Embeddings } from 'langchain/embeddings/base'
import { Document } from 'langchain/document'
import { ICommonObject, INode, INodeData, INodeOutputsVa... | the `name` must be in camelcase `zepCloud`, otherwise the upsert button will not be shown:
<img width="919" alt="image" src="https://github.com/FlowiseAI/Flowise/assets/26460777/302532c6-679d-4e5b-9be7-cbab66cc055a">
| import { flatten } from 'lodash'
import { IDocument, ZepClient } from '@getzep/zep-cloud'
import { IZepConfig, ZepVectorStore } from '@getzep/zep-cloud/langchain'
import { Embeddings } from 'langchain/embeddings/base'
import { Document } from 'langchain/document'
import { ICommonObject, INode, INodeData, INodeOutputsVa... | @@ -0,0 +1,231 @@
+import { flatten } from 'lodash'
+import { IDocument, ZepClient } from '@getzep/zep-cloud'
+import { IZepConfig, ZepVectorStore } from '@getzep/zep-cloud/langchain'
+import { Embeddings } from 'langchain/embeddings/base'
+import { Document } from 'langchain/document'
+import { ICommonObject, INode, I... | packages/components/nodes/vectorstores/ZepCloud/ZepCloud.ts | 26 | TypeScript | 0.571 | style | 220 | 51 | 51 | false | Zep cloud setup | 1,760 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | paul-paliychuk |
import { flatten } from 'lodash'
import { ZepVectorStore, IZepConfig } from '@langchain/community/vectorstores/zep'
import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
impo... | prefer to revert all the `name` back to the initial ones, because changing exsiting will likely cause the existing flow not working, and also they need to be `camelCase` | import { flatten } from 'lodash'
import { ZepVectorStore, IZepConfig } from '@langchain/community/vectorstores/zep'
import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
impo... | @@ -20,8 +20,8 @@ class Zep_Upsert_VectorStores implements INode {
outputs: INodeOutputsValue[]
constructor() {
- this.label = 'Zep Upsert Document'
- this.name = 'zepUpsert'
+ this.label = 'Zep Upsert Document - Open Source'
+ this.name = 'Zep Upsert - Open Source' | packages/components/nodes/vectorstores/Zep/Zep_Upsert.ts | 24 | TypeScript | 0.571 | suggestion | 169 | 49 | 49 | false | Zep cloud setup | 1,760 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | paul-paliychuk |
})
} catch (e: any) {
return res.json({ status: 'ERROR', repos: [] })
}
})
// ----------------------------------------
// Prediction
// ----------------------------------------
// Send input message and get prediction resu... | what if `parsedConfig` doesn't have the property `allowedOrigins`, will it fails?
shouldn't we do something like `parsedConfig.allowedOrigins?.length && parsedConfig.allowedOrigins[0] !== ''` ? | })
} catch (e: any) {
return res.json({ status: 'ERROR', repos: [] })
}
})
// ----------------------------------------
// Prediction
// ----------------------------------------
// Send input message and get prediction resu... | @@ -1319,7 +1319,32 @@ export class App {
upload.array('files'),
(req: Request, res: Response, next: NextFunction) => getRateLimiter(req, res, next),
async (req: Request, res: Response) => {
- await this.buildChatflow(req, res, socketIO)
+ const chatf... | packages/server/src/index.ts | 26 | TypeScript | 0.571 | bug | 194 | 51 | 51 | false | Feature: Allowed domains for chatflows | 1,765 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | 0xi4o |
// ----------------------------------------
// Prediction
// ----------------------------------------
// Send input message and get prediction result (External)
this.app.post(
'/api/v1/prediction/:id',
upload.array('files'),
(req: Request, res... | if `domain` is invalid, you will get error `Invalid URL` and the apps shut down due to unhandled rejection | // ----------------------------------------
// Prediction
// ----------------------------------------
// Send input message and get prediction result (External)
this.app.post(
'/api/v1/prediction/:id',
upload.array('files'),
(req: Request, res... | @@ -1319,7 +1319,32 @@ export class App {
upload.array('files'),
(req: Request, res: Response, next: NextFunction) => getRateLimiter(req, res, next),
async (req: Request, res: Response) => {
- await this.buildChatflow(req, res, socketIO)
+ const chatf... | packages/server/src/index.ts | 26 | TypeScript | 0.643 | suggestion | 106 | 51 | 51 | false | Feature: Allowed domains for chatflows | 1,765 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | 0xi4o |
const variableFullPath = returnVal.substring(variableStartIdx, variableEndIdx)
/**
* Apply string transformation to convert special chars:
* FROM: hello i am ben\n\n\thow are you?
* TO: hello i am benFLOWISE_NEWLINEFLOWISE_NEWLINEFLOWISE_TABhow are you?
... | should we check if the previous `data.instance` are present in the `variableFullPathParts` ? | const variableFullPath = returnVal.substring(variableStartIdx, variableEndIdx)
/**
* Apply string transformation to convert special chars:
* FROM: hello i am ben\n\n\thow are you?
* TO: hello i am benFLOWISE_NEWLINEFLOWISE_NEWLINEFLOWISE_TABhow are you?
... | @@ -528,11 +528,45 @@ export const getVariableValue = (
variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(convertChatHistoryToText(chatHistory), false)
}
- // Split by first occurrence of '.' to get just nodeId
- const [variableNodeId, _] = variableFu... | packages/server/src/utils/index.ts | 26 | TypeScript | 0.429 | question | 92 | 51 | 51 | false | Feature: Add support for accessing NodeData via json path | 1,820 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | mokeyish |
import { AzureOpenAIInput, ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput } from '@langchain/openai'
import { BaseCache } from '@langchain/core/caches'
import { BaseLLMParams } from '@langchain/core/language_models/llms'
import { ICommonObject, IMultiModalOption, INode, INodeData, INodeParams } from '../../../src/I... | I'm getting access to Azure Vision model, in the meantime we can get rid of this first, and create another PR once we have access | import { AzureOpenAIInput, ChatOpenAI, OpenAIChatInput } from '@langchain/openai'
import { BaseCache } from '@langchain/core/caches'
import { BaseLLMParams } from '@langchain/core/language_models/llms'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCred... | @@ -1,8 +1,9 @@
-import { AzureOpenAIInput, ChatOpenAI, OpenAIChatInput } from '@langchain/openai'
+import { AzureOpenAIInput, ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput } from '@langchain/openai' | packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts | 1 | TypeScript | 0.357 | suggestion | 129 | 26 | 26 | false | Claude 3 - Adding Support for Image Uploads / Multimodal Inputs | 1,898 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
this.type = 'ChatAnthropic'
this.icon = 'Anthropic.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around ChatAnthropic LLM specific for LlamaIndex'
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(Anthropic)]
this.tags = ['Llama... | The model names are different in the LLamaIndex and Langchain Nodes. | this.type = 'ChatAnthropic'
this.icon = 'Anthropic.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around ChatAnthropic LLM specific for LlamaIndex'
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(Anthropic)]
this.tags = ['Llama... | @@ -39,22 +39,22 @@ class ChatAnthropic_LlamaIndex_ChatModels implements INode {
options: [
{
label: 'claude-3-opus',
- name: 'claude-3-opus-20240229',
+ name: 'claude-3-opus',
descripti... | packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic_LlamaIndex.ts | 26 | TypeScript | 0.214 | suggestion | 69 | 51 | 51 | false | Chore/Upgrade llamaindex | 2,017 | FlowiseAI/Flowise | 45,241 | TypeScript | vinodkiran | HenryHengZJ |
description: 'Embedding Dimensions: 384'
},
{
label: 'embed-english-v2.0',
name: 'embed-english-v2.0',
description: 'Embedding Dimensions: 4096'
},
... | can we add the docs link in the description? | description: 'Embedding Dimensions: 384'
},
{
label: 'embed-english-v2.0',
name: 'embed-english-v2.0',
description: 'Embedding Dimensions: 4096'
},
... | @@ -35,27 +35,81 @@ class CohereEmbedding_Embeddings implements INode {
name: 'modelName',
type: 'options',
options: [
+ {
+ label: 'embed-english-v3.0',
+ name: 'embed-english-v3.0',
+ ... | packages/components/nodes/embeddings/CohereEmbedding/CohereEmbedding.ts | 26 | TypeScript | 0.071 | question | 44 | 51 | 51 | false | Chore/cohere embed models | 2,035 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | vinodkiran |
appServer.chatflowPool.activeChatflows[chatflowid].inSync &&
appServer.chatflowPool.activeChatflows[chatflowid].endingNodeData &&
isSameOverrideConfig(
isInternal,
appServer.chatflowPool.activeChatflows[chatflowid].overrideConfig,
... | @HenryHengZJ I'm not sure if this needs to be moved to "getEndingNodes" as well | }
if (isFlowReusable()) {
nodeToExecuteData = appServer.chatflowPool.activeChatflows[chatflowid].endingNodeData as INodeData
isStreamValid = isFlowValidForStream(nodes, nodeToExecuteData)
logger.debug(
`[server]: Reuse existing chatflow ${chatflowid} ... | @@ -187,45 +187,21 @@ export const utilBuildChatflow = async (req: Request, socketIO?: Server, isInter
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const directedGraph = graph
- const endingNodeIds = ge... | packages/server/src/utils/buildChatflow.ts | 26 | TypeScript | 0.286 | suggestion | 79 | 51 | 51 | false | Optimize `getEndingNodes` | 2,133 | FlowiseAI/Flowise | 45,241 | TypeScript | mokeyish | mokeyish |
import { containsBase64File, updateFlowDataWithFilePaths } from '../../utils/fileRepository'
import { getErrorMessage } from '../../errors/utils'
// Check if chatflow valid for streaming
const checkIfChatflowIsValidForStreaming = async (chatflowId: string): Promise<any> => {
try {
const appServer = getRunn... | Can we change the naming from `isEndingNodeExists` to `isCustomFunctionEndingNode`? this can better reflects the purpose of this check.
I think once `isEndingNodeExists`, we dont have to run the `for` loop below right? we can directly return `{ isStreaming : false }` | import { containsBase64File, updateFlowDataWithFilePaths } from '../../utils/fileRepository'
import { getErrorMessage } from '../../errors/utils'
// Check if chatflow valid for streaming
const checkIfChatflowIsValidForStreaming = async (chatflowId: string): Promise<any> => {
try {
const appServer = getRunn... | @@ -41,35 +41,14 @@ const checkIfChatflowIsValidForStreaming = async (chatflowId: string): Promise<a
const edges = parsedFlowData.edges
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
- const endingNodeIds = getEndingNodes(nodeDependencies, graph)
- if (!endingNodeIds... | packages/server/src/services/chatflows/index.ts | 26 | TypeScript | 0.643 | question | 270 | 51 | 51 | false | Optimize `getEndingNodes` | 2,133 | FlowiseAI/Flowise | 45,241 | TypeScript | HenryHengZJ | mokeyish |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.