MultiModal : Adding functionality to base OpenAI Chat Model

packages/components/nodes/chains/ConversationChain/ConversationChain.ts

@@ -8,8 +8,7 @@ import { flatten } from 'lodash'
 import { Document } from 'langchain/document'
 import { RunnableSequence } from 'langchain/schema/runnable'
 import { StringOutputParser } from 'langchain/schema/output_parser'
-import { addImagesToMessages, processSpeechToText } from '../../../src/MultiModalUtils'
-import { HumanMessage } from 'langchain/schema'
+import { injectChainNodeData } from '../../../src/MultiModalUtils'
 
 let systemMessage = `The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.`
 const inputKey = 'input'
@@ -75,7 +74,7 @@ class ConversationChain_Chains implements INode {
 
     async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
         const memory = nodeData.inputs?.memory
-        input = await processSpeechToText(nodeData, input, options)
+        injectChainNodeData(nodeData, options)
 
         const chain = prepareChain(nodeData, options, this.sessionId)
 
@@ -132,24 +131,12 @@ const prepareChatPrompt = (nodeData: INodeData, options: ICommonObject) => {
 
     if (finalText) systemMessage = `${systemMessage}\nThe AI has the following context:\n${finalText}`
 
-    // TODO: add audio uploads
-    // if (options.uploads.length > 0) {
-    //     const audioUploads = getAudioUploads(options.uploads)
-    //     for (const upload of audioUploads) {
-    //         await this.processAudioWithWhisper(upload, chatMessages)
-    //     }
-    // }
-    const imageContent = addImagesToMessages(nodeData, options)
-
     //TODO, this should not be any[], what interface should it be?
     let promptMessages: any[] = [
         SystemMessagePromptTemplate.fromTemplate(prompt ? `${prompt}\n${systemMessage}` : systemMessage),
         new MessagesPlaceholder(memory.memoryKey ?? 'chat_history'),
         HumanMessagePromptTemplate.fromTemplate(`{${inputKey}}`)
     ]
-    if (imageContent.length > 0) {
-        promptMessages.push(new HumanMessage({ content: imageContent }))
-    }
     const chatPrompt = ChatPromptTemplate.fromMessages(promptMessages)
 
     return chatPrompt

packages/components/nodes/chains/LLMChain/LLMChain.ts

@@ -8,6 +8,7 @@ import { formatResponse, injectOutputParser } from '../../outputparsers/OutputPa
 import { BaseLLMOutputParser } from 'langchain/schema/output_parser'
 import { OutputFixingParser } from 'langchain/output_parsers'
 import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation'
+import { injectChainNodeData } from '../../../src/MultiModalUtils'
 
 class LLMChain_Chains implements INode {
     label: string
@@ -129,6 +130,7 @@ class LLMChain_Chains implements INode {
         if (!this.outputParser && outputParser) {
             this.outputParser = outputParser
         }
+        injectChainNodeData(nodeData, options)
         promptValues = injectOutputParser(this.outputParser, chain, promptValues)
         const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
         // eslint-disable-next-line no-console