Merge pull request #149 from FlowiseAI/feature/Streaming

Feature/Streaming
This commit is contained in:
Ong Chung Yau
2023-05-26 09:01:40 +07:00
committed by GitHub
29 changed files with 902 additions and 301 deletions
@@ -1,6 +1,6 @@
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { ConversationChain } from 'langchain/chains'
import { getBaseClasses } from '../../../src/utils'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder, SystemMessagePromptTemplate } from 'langchain/prompts'
import { BufferMemory, ChatMessageHistory } from 'langchain/memory'
import { BaseChatModel } from 'langchain/chat_models/base'
@@ -90,8 +90,14 @@ class ConversationChain_Chains implements INode {
chain.memory = memory
}
const res = await chain.call({ input })
return res?.response
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call({ input }, [handler])
return res?.response
} else {
const res = await chain.call({ input })
return res?.text
}
}
}
@@ -1,6 +1,6 @@
import { BaseLanguageModel } from 'langchain/base_language'
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { ConversationalRetrievalQAChain } from 'langchain/chains'
import { BaseRetriever } from 'langchain/schema'
@@ -74,6 +74,12 @@ class ConversationalRetrievalQAChain_Chains implements INode {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const chain = nodeData.instance as ConversationalRetrievalQAChain
let model = nodeData.inputs?.model
// Temporary fix: https://github.com/hwchase17/langchainjs/issues/754
model.streaming = false
chain.questionGeneratorChain.llm = model
let chatHistory = ''
if (options && options.chatHistory) {
@@ -90,9 +96,14 @@ class ConversationalRetrievalQAChain_Chains implements INode {
chat_history: chatHistory ? chatHistory : []
}
const res = await chain.call(obj)
return res?.text
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call(obj, [handler])
return res?.text
} else {
const res = await chain.call(obj)
return res?.text
}
}
}
@@ -1,5 +1,5 @@
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
@@ -76,12 +76,14 @@ class LLMChain_Chains implements INode {
}
}
async run(nodeData: INodeData, input: string): Promise<string> {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const inputVariables = nodeData.instance.prompt.inputVariables as string[] // ["product"]
const chain = nodeData.instance as LLMChain
const promptValues = nodeData.inputs?.prompt.promptValues as ICommonObject
const res = await runPrediction(inputVariables, chain, input, promptValues)
const res = options.socketIO
? await runPrediction(inputVariables, chain, input, promptValues, true, options.socketIO, options.socketIOClientId)
: await runPrediction(inputVariables, chain, input, promptValues)
// eslint-disable-next-line no-console
console.log('\x1b[93m\x1b[1m\n*****FINAL RESULT*****\n\x1b[0m\x1b[0m')
// eslint-disable-next-line no-console
@@ -90,10 +92,24 @@ class LLMChain_Chains implements INode {
}
}
const runPrediction = async (inputVariables: string[], chain: LLMChain, input: string, promptValues: ICommonObject) => {
const runPrediction = async (
inputVariables: string[],
chain: LLMChain,
input: string,
promptValues: ICommonObject,
isStreaming?: boolean,
socketIO?: any,
socketIOClientId = ''
) => {
if (inputVariables.length === 1) {
const res = await chain.run(input)
return res
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.run(input, [handler])
return res
} else {
const res = await chain.run(input)
return res
}
} else if (inputVariables.length > 1) {
let seen: string[] = []
@@ -109,8 +125,14 @@ const runPrediction = async (inputVariables: string[], chain: LLMChain, input: s
const options = {
...promptValues
}
const res = await chain.call(options)
return res?.text
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.call(options, [handler])
return res?.text
} else {
const res = await chain.call(options)
return res?.text
}
} else if (seen.length === 1) {
// If one inputVariable is not specify, use input (user's question) as value
const lastValue = seen.pop()
@@ -119,14 +141,26 @@ const runPrediction = async (inputVariables: string[], chain: LLMChain, input: s
...promptValues,
[lastValue]: input
}
const res = await chain.call(options)
return res?.text
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.call(options, [handler])
return res?.text
} else {
const res = await chain.call(options)
return res?.text
}
} else {
throw new Error(`Please provide Prompt Values for: ${seen.join(', ')}`)
}
} else {
const res = await chain.run(input)
return res
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.run(input, [handler])
return res
} else {
const res = await chain.run(input)
return res
}
}
}
@@ -1,7 +1,7 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { RetrievalQAChain } from 'langchain/chains'
import { BaseRetriever } from 'langchain/schema'
import { getBaseClasses } from '../../../src/utils'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
class RetrievalQAChain_Chains implements INode {
@@ -44,13 +44,20 @@ class RetrievalQAChain_Chains implements INode {
return chain
}
async run(nodeData: INodeData, input: string): Promise<string> {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const chain = nodeData.instance as RetrievalQAChain
const obj = {
query: input
}
const res = await chain.call(obj)
return res?.text
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call(obj, [handler])
return res?.text
} else {
const res = await chain.call(obj)
return res?.text
}
}
}
@@ -1,6 +1,6 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { SqlDatabaseChain, SqlDatabaseChainInput } from 'langchain/chains'
import { getBaseClasses } from '../../../src/utils'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { DataSource } from 'typeorm'
import { SqlDatabase } from 'langchain/sql_db'
import { BaseLanguageModel } from 'langchain/base_language'
@@ -59,14 +59,20 @@ class SqlDatabaseChain_Chains implements INode {
return chain
}
async run(nodeData: INodeData, input: string): Promise<string> {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const databaseType = nodeData.inputs?.database as 'sqlite'
const model = nodeData.inputs?.model as BaseLanguageModel
const dbFilePath = nodeData.inputs?.dbFilePath
const chain = await getSQLDBChain(databaseType, dbFilePath, model)
const res = await chain.run(input)
return res
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.run(input, [handler])
return res
} else {
const res = await chain.run(input)
return res
}
}
}
@@ -1,5 +1,5 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { VectorDBQAChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { VectorStore } from 'langchain/vectorstores'
@@ -44,13 +44,20 @@ class VectorDBQAChain_Chains implements INode {
return chain
}
async run(nodeData: INodeData, input: string): Promise<string> {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const chain = nodeData.instance as VectorDBQAChain
const obj = {
query: input
}
const res = await chain.call(obj)
return res?.text
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call(obj, [handler])
return res?.text
} else {
const res = await chain.call(obj)
return res?.text
}
}
}
@@ -121,6 +121,7 @@ class AzureChatOpenAI_ChatModels implements INode {
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const streaming = nodeData.inputs?.streaming as boolean
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIBaseInput> = {
temperature: parseInt(temperature, 10),
@@ -128,7 +129,8 @@ class AzureChatOpenAI_ChatModels implements INode {
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion
azureOpenAIApiVersion,
streaming: streaming ?? true
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
@@ -117,11 +117,13 @@ class ChatAnthropic_ChatModels implements INode {
const maxTokensToSample = nodeData.inputs?.maxTokensToSample as string
const topP = nodeData.inputs?.topP as string
const topK = nodeData.inputs?.topK as string
const streaming = nodeData.inputs?.streaming as boolean
const obj: Partial<AnthropicInput> & { anthropicApiKey?: string } = {
temperature: parseInt(temperature, 10),
modelName,
anthropicApiKey
anthropicApiKey,
streaming: streaming ?? true
}
if (maxTokensToSample) obj.maxTokensToSample = parseInt(maxTokensToSample, 10)
@@ -109,11 +109,13 @@ class ChatOpenAI_ChatModels implements INode {
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const streaming = nodeData.inputs?.streaming as boolean
const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
temperature: parseInt(temperature, 10),
modelName,
openAIApiKey
openAIApiKey,
streaming: streaming ?? true
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
@@ -176,6 +176,7 @@ class AzureOpenAI_LLMs implements INode {
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const bestOf = nodeData.inputs?.bestOf as string
const streaming = nodeData.inputs?.streaming as boolean
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIInput> = {
temperature: parseInt(temperature, 10),
@@ -183,7 +184,8 @@ class AzureOpenAI_LLMs implements INode {
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion
azureOpenAIApiVersion,
streaming: streaming ?? true
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
@@ -121,11 +121,13 @@ class OpenAI_LLMs implements INode {
const timeout = nodeData.inputs?.timeout as string
const batchSize = nodeData.inputs?.batchSize as string
const bestOf = nodeData.inputs?.bestOf as string
const streaming = nodeData.inputs?.streaming as boolean
const obj: Partial<OpenAIInput> & { openAIApiKey?: string } = {
temperature: parseInt(temperature, 10),
modelName,
openAIApiKey
openAIApiKey,
streaming: streaming ?? true
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)