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https://github.com/farcasclaudiu/Flowise.git
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Merge branch 'main' into feature/ConversationRetrievalQAAgent
# Conflicts: # packages/server/src/ChildProcess.ts # packages/server/src/index.ts
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@@ -37,6 +37,16 @@ class CSV_Agents implements INode {
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label: 'Language Model',
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name: 'model',
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type: 'BaseLanguageModel'
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},
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{
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label: 'System Message',
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name: 'systemMessagePrompt',
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type: 'string',
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rows: 4,
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additionalParams: true,
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optional: true,
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placeholder:
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'I want you to act as a document that I am having a conversation with. Your name is "AI Assistant". You will provide me with answers from the given info. If the answer is not included, say exactly "Hmm, I am not sure." and stop after that. Refuse to answer any question not about the info. Never break character.'
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}
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]
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}
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@@ -49,6 +59,7 @@ class CSV_Agents implements INode {
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
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const csvFileBase64 = nodeData.inputs?.csvFile as string
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const model = nodeData.inputs?.model as BaseLanguageModel
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const systemMessagePrompt = nodeData.inputs?.systemMessagePrompt as string
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const loggerHandler = new ConsoleCallbackHandler(options.logger)
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const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
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@@ -127,7 +138,9 @@ json.dumps(my_dict)`
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if (finalResult) {
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const chain = new LLMChain({
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llm: model,
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prompt: PromptTemplate.fromTemplate(finalSystemPrompt),
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prompt: PromptTemplate.fromTemplate(
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systemMessagePrompt ? `${systemMessagePrompt}\n${finalSystemPrompt}` : finalSystemPrompt
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),
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verbose: process.env.DEBUG === 'true' ? true : false
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})
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const inputs = {
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@@ -8,7 +8,8 @@ import {
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getStartingNodes,
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getUserHome,
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replaceInputsWithConfig,
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resolveVariables
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resolveVariables,
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databaseEntities
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} from './utils'
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import { DataSource } from 'typeorm'
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import { ChatFlow } from './entity/ChatFlow'
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@@ -141,7 +142,12 @@ export class ChildProcess {
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if (nodeToExecuteData.instance) checkMemorySessionId(nodeToExecuteData.instance, chatId)
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const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history, chatId })
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const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
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chatHistory: incomingInput.history,
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appDataSource: childAppDataSource,
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databaseEntities
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})
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logger.debug(`[server] [mode:child]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
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await sendToParentProcess('finish', { result, addToChatFlowPool })
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