Flowise/packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts

183 lines
5.8 KiB
TypeScript

import {
FlowiseSummaryMemory,
IMessage,
IDatabaseEntity,
INode,
INodeData,
INodeParams,
MemoryMethods,
ICommonObject
} from '../../../src/Interface'
import { getBaseClasses, mapChatMessageToBaseMessage } from '../../../src/utils'
import { BaseLanguageModel } from '@langchain/core/language_models/base'
import { BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages'
import { ConversationSummaryMemory, ConversationSummaryMemoryInput } from 'langchain/memory'
import { DataSource } from 'typeorm'
import { ChatAnthropic } from '../../chatmodels/ChatAnthropic/FlowiseChatAnthropic'
class ConversationSummaryMemory_Memory implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Conversation Summary Memory'
this.name = 'conversationSummaryMemory'
this.version = 2.0
this.type = 'ConversationSummaryMemory'
this.icon = 'memory.svg'
this.category = 'Memory'
this.description = 'Summarizes the conversation and stores the current summary in memory'
this.baseClasses = [this.type, ...getBaseClasses(ConversationSummaryMemory)]
this.inputs = [
{
label: 'Chat Model',
name: 'model',
type: 'BaseChatModel'
},
{
label: 'Session Id',
name: 'sessionId',
type: 'string',
description:
'If not specified, a random id will be used. Learn <a target="_blank" href="https://docs.flowiseai.com/memory#ui-and-embedded-chat">more</a>',
default: '',
optional: true,
additionalParams: true
},
{
label: 'Memory Key',
name: 'memoryKey',
type: 'string',
default: 'chat_history',
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
const sessionId = nodeData.inputs?.sessionId as string
const memoryKey = (nodeData.inputs?.memoryKey as string) ?? 'chat_history'
const appDataSource = options.appDataSource as DataSource
const databaseEntities = options.databaseEntities as IDatabaseEntity
const chatflowid = options.chatflowid as string
const orgId = options.orgId as string
const obj: ConversationSummaryMemoryInput & BufferMemoryExtendedInput = {
llm: model,
memoryKey,
returnMessages: true,
sessionId,
appDataSource,
databaseEntities,
chatflowid,
orgId
}
return new ConversationSummaryMemoryExtended(obj)
}
}
interface BufferMemoryExtendedInput {
sessionId: string
appDataSource: DataSource
databaseEntities: IDatabaseEntity
chatflowid: string
orgId: string
}
class ConversationSummaryMemoryExtended extends FlowiseSummaryMemory implements MemoryMethods {
appDataSource: DataSource
databaseEntities: IDatabaseEntity
chatflowid: string
orgId: string
sessionId = ''
constructor(fields: ConversationSummaryMemoryInput & BufferMemoryExtendedInput) {
super(fields)
this.sessionId = fields.sessionId
this.appDataSource = fields.appDataSource
this.databaseEntities = fields.databaseEntities
this.chatflowid = fields.chatflowid
this.orgId = fields.orgId
}
async getChatMessages(
overrideSessionId = '',
returnBaseMessages = false,
prependMessages?: IMessage[]
): Promise<IMessage[] | BaseMessage[]> {
const id = overrideSessionId ? overrideSessionId : this.sessionId
if (!id) return []
this.buffer = ''
let chatMessage = await this.appDataSource.getRepository(this.databaseEntities['ChatMessage']).find({
where: {
sessionId: id,
chatflowid: this.chatflowid
},
order: {
createdDate: 'ASC'
}
})
if (prependMessages?.length) {
chatMessage.unshift(...prependMessages)
}
const baseMessages = await mapChatMessageToBaseMessage(chatMessage, this.orgId)
// Get summary
if (this.llm && typeof this.llm !== 'string') {
this.buffer = baseMessages.length ? await this.predictNewSummary(baseMessages.slice(-2), this.buffer) : ''
}
if (returnBaseMessages) {
// Anthropic doesn't support multiple system messages
if (this.llm instanceof ChatAnthropic) {
return [new HumanMessage(`Below is the summarized conversation:\n\n${this.buffer}`)]
} else {
return [new SystemMessage(this.buffer)]
}
}
if (this.buffer) {
return [
{
message: this.buffer,
type: 'apiMessage'
}
]
}
let returnIMessages: IMessage[] = []
for (const m of chatMessage) {
returnIMessages.push({
message: m.content as string,
type: m.role
})
}
return returnIMessages
}
async addChatMessages(): Promise<void> {
// adding chat messages is done on server level
return
}
async clearChatMessages(): Promise<void> {
// clearing chat messages is done on server level
return
}
}
module.exports = { nodeClass: ConversationSummaryMemory_Memory }