Removal of the custom output parsing.

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

@@ -4,7 +4,8 @@ import { LLMChain } from 'langchain/chains'
 import { BaseLanguageModel } from 'langchain/base_language'
 import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
 import { BaseOutputParser } from 'langchain/schema/output_parser'
-import { injectOutputParser, applyOutputParser } from '../../outputparsers/OutputParserHelpers'
+import { injectOutputParser } from '../../outputparsers/OutputParserHelpers'
+import { BaseLLMOutputParser } from 'langchain/schema/output_parser'
 
 class LLMChain_Chains implements INode {
     label: string
@@ -28,16 +29,16 @@ class LLMChain_Chains implements INode {
         this.description = 'Chain to run queries against LLMs'
         this.baseClasses = [this.type, ...getBaseClasses(LLMChain)]
         this.inputs = [
-            {
-                label: 'Language Model',
-                name: 'model',
-                type: 'BaseLanguageModel'
-            },
             {
                 label: 'Prompt',
                 name: 'prompt',
                 type: 'BasePromptTemplate'
             },
+            {
+                label: 'Language Model',
+                name: 'model',
+                type: 'BaseLanguageModel'
+            },
             {
                 label: 'Output Parser',
                 name: 'outputParser',
@@ -71,12 +72,18 @@ class LLMChain_Chains implements INode {
         const prompt = nodeData.inputs?.prompt
         const output = nodeData.outputs?.output as string
         const promptValues = prompt.promptValues as ICommonObject
+        const llmOutputParser = nodeData.inputs?.outputParser as BaseLLMOutputParser<string | object>
 
         if (output === this.name) {
-            const chain = new LLMChain({ llm: model, prompt, verbose: process.env.DEBUG === 'true' ? true : false })
+            const chain = new LLMChain({ llm: model, outputParser: llmOutputParser, prompt, verbose: process.env.DEBUG === 'true' })
             return chain
         } else if (output === 'outputPrediction') {
-            const chain = new LLMChain({ llm: model, prompt, verbose: process.env.DEBUG === 'true' ? true : false })
+            const chain = new LLMChain({
+                llm: model,
+                outputParser: llmOutputParser,
+                prompt,
+                verbose: process.env.DEBUG === 'true'
+            })
             const inputVariables = chain.prompt.inputVariables as string[] // ["product"]
             const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
             // eslint-disable-next-line no-console
@@ -98,7 +105,7 @@ class LLMChain_Chains implements INode {
         let promptValues: ICommonObject | undefined = nodeData.inputs?.prompt.promptValues as ICommonObject
         const outputParser = nodeData.inputs?.outputParser as BaseOutputParser
         promptValues = injectOutputParser(outputParser, chain, promptValues)
-        const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData, outputParser)
+        const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
         // 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
@@ -109,12 +116,11 @@ class LLMChain_Chains implements INode {
 
 const runPrediction = async (
     inputVariables: string[],
-    chain: LLMChain,
+    chain: LLMChain<string | object>,
     input: string,
     promptValuesRaw: ICommonObject | undefined,
     options: ICommonObject,
-    nodeData: INodeData,
+    nodeData: INodeData
-    outputParser: BaseOutputParser | undefined = undefined
 ) => {
     const loggerHandler = new ConsoleCallbackHandler(options.logger)
     const callbacks = await additionalCallbacks(nodeData, options)
@@ -146,10 +152,10 @@ const runPrediction = async (
             if (isStreaming) {
                 const handler = new CustomChainHandler(socketIO, socketIOClientId)
                 const res = await chain.call(options, [loggerHandler, handler, ...callbacks])
-                return applyOutputParser(res?.text, outputParser)
+                return res?.text
             } else {
                 const res = await chain.call(options, [loggerHandler, ...callbacks])
-                return applyOutputParser(res?.text, outputParser)
+                return res?.text
             }
         } else if (seen.length === 1) {
             // If one inputVariable is not specify, use input (user's question) as value
@@ -162,10 +168,10 @@ const runPrediction = async (
             if (isStreaming) {
                 const handler = new CustomChainHandler(socketIO, socketIOClientId)
                 const res = await chain.call(options, [loggerHandler, handler, ...callbacks])
-                return applyOutputParser(res?.text, outputParser)
+                return res?.text
             } else {
                 const res = await chain.call(options, [loggerHandler, ...callbacks])
-                return applyOutputParser(res?.text, outputParser)
+                return res?.text
             }
         } else {
             throw new Error(`Please provide Prompt Values for: ${seen.join(', ')}`)
@@ -174,10 +180,10 @@ const runPrediction = async (
         if (isStreaming) {
             const handler = new CustomChainHandler(socketIO, socketIOClientId)
             const res = await chain.run(input, [loggerHandler, handler, ...callbacks])
-            return applyOutputParser(res, outputParser)
+            return res
         } else {
             const res = await chain.run(input, [loggerHandler, ...callbacks])
-            return applyOutputParser(res, outputParser)
+            return res
         }
     }
 }