Addition of Cache Option for Chat Models

packages/components/nodes/chatmodels/AWSBedrock/AWSChatBedrock.ts

@@ -2,6 +2,8 @@ import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Inter
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { ChatBedrock } from 'langchain/chat_models/bedrock'
 import { BaseBedrockInput } from 'langchain/dist/util/bedrock'
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 
 /**
  * I had to run the following to build the component
@@ -25,7 +27,7 @@ class AWSChatBedrock_ChatModels implements INode {
     constructor() {
         this.label = 'AWS Bedrock'
         this.name = 'awsChatBedrock'
-        this.version = 1.1
+        this.version = 2.0
         this.type = 'AWSChatBedrock'
         this.icon = 'awsBedrock.png'
         this.category = 'Chat Models'
@@ -39,6 +41,12 @@ class AWSChatBedrock_ChatModels implements INode {
             optional: true
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Region',
                 name: 'region',
@@ -130,8 +138,9 @@ class AWSChatBedrock_ChatModels implements INode {
         const iModel = nodeData.inputs?.model as string
         const iTemperature = nodeData.inputs?.temperature as string
         const iMax_tokens_to_sample = nodeData.inputs?.max_tokens_to_sample as string
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
-        const obj: BaseBedrockInput = {
+        const obj: BaseBedrockInput & BaseLLMParams = {
             region: iRegion,
             model: iModel,
             maxTokens: parseInt(iMax_tokens_to_sample, 10),
@@ -157,6 +166,7 @@ class AWSChatBedrock_ChatModels implements INode {
                 sessionToken: credentialApiSession
             }
         }
+        if (cache) obj.cache = cache
 
         const amazonBedrock = new ChatBedrock(obj)
         return amazonBedrock

packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts

@@ -2,6 +2,8 @@ import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 
 class AzureChatOpenAI_ChatModels implements INode {
     label: string
@@ -18,7 +20,7 @@ class AzureChatOpenAI_ChatModels implements INode {
     constructor() {
         this.label = 'Azure ChatOpenAI'
         this.name = 'azureChatOpenAI'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'AzureChatOpenAI'
         this.icon = 'Azure.svg'
         this.category = 'Chat Models'
@@ -31,6 +33,12 @@ class AzureChatOpenAI_ChatModels implements INode {
             credentialNames: ['azureOpenAIApi']
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -107,6 +115,7 @@ class AzureChatOpenAI_ChatModels implements INode {
         const presencePenalty = nodeData.inputs?.presencePenalty as string
         const timeout = nodeData.inputs?.timeout as string
         const streaming = nodeData.inputs?.streaming as boolean
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
@@ -114,7 +123,7 @@ class AzureChatOpenAI_ChatModels implements INode {
         const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
         const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
 
-        const obj: Partial<AzureOpenAIInput> & Partial<OpenAIBaseInput> = {
+        const obj: Partial<AzureOpenAIInput> & BaseLLMParams & Partial<OpenAIBaseInput> = {
             temperature: parseFloat(temperature),
             modelName,
             azureOpenAIApiKey,
@@ -128,6 +137,7 @@ class AzureChatOpenAI_ChatModels implements INode {
         if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
         if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
         if (timeout) obj.timeout = parseInt(timeout, 10)
+        if (cache) obj.cache = cache
 
         const model = new ChatOpenAI(obj)
         return model

packages/components/nodes/chatmodels/Bittensor/Bittensor.ts

@@ -1,6 +1,7 @@
 import { INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses } from '../../../src/utils'
 import { NIBittensorChatModel, BittensorInput } from 'langchain/experimental/chat_models/bittensor'
+import { BaseCache } from 'langchain/schema'
 
 class Bittensor_ChatModels implements INode {
     label: string
@@ -16,13 +17,19 @@ class Bittensor_ChatModels implements INode {
     constructor() {
         this.label = 'NIBittensorChat'
         this.name = 'NIBittensorChatModel'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'BittensorChat'
         this.icon = 'logo.png'
         this.category = 'Chat Models'
         this.description = 'Wrapper around Bittensor subnet 1 large language models'
         this.baseClasses = [this.type, ...getBaseClasses(NIBittensorChatModel)]
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'System prompt',
                 name: 'system_prompt',
@@ -35,9 +42,13 @@ class Bittensor_ChatModels implements INode {
 
     async init(nodeData: INodeData, _: string): Promise<any> {
         const system_prompt = nodeData.inputs?.system_prompt as string
+        const cache = nodeData.inputs?.llmCache as BaseCache
+
         const obj: Partial<BittensorInput> = {
             systemPrompt: system_prompt
         }
+        if (cache) obj.cache = cache
+
         const model = new NIBittensorChatModel(obj)
         return model
     }

packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic.ts

@@ -1,6 +1,8 @@
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { AnthropicInput, ChatAnthropic } from 'langchain/chat_models/anthropic'
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 
 class ChatAnthropic_ChatModels implements INode {
     label: string
@@ -17,7 +19,7 @@ class ChatAnthropic_ChatModels implements INode {
     constructor() {
         this.label = 'ChatAnthropic'
         this.name = 'chatAnthropic'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatAnthropic'
         this.icon = 'chatAnthropic.png'
         this.category = 'Chat Models'
@@ -30,6 +32,12 @@ class ChatAnthropic_ChatModels implements INode {
             credentialNames: ['anthropicApi']
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -135,11 +143,12 @@ class ChatAnthropic_ChatModels implements INode {
         const topP = nodeData.inputs?.topP as string
         const topK = nodeData.inputs?.topK as string
         const streaming = nodeData.inputs?.streaming as boolean
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
 
-        const obj: Partial<AnthropicInput> & { anthropicApiKey?: string } = {
+        const obj: Partial<AnthropicInput> & BaseLLMParams & { anthropicApiKey?: string } = {
             temperature: parseFloat(temperature),
             modelName,
             anthropicApiKey,
@@ -149,6 +158,7 @@ class ChatAnthropic_ChatModels implements INode {
         if (maxTokensToSample) obj.maxTokensToSample = parseInt(maxTokensToSample, 10)
         if (topP) obj.topP = parseFloat(topP)
         if (topK) obj.topK = parseFloat(topK)
+        if (cache) obj.cache = cache
 
         const model = new ChatAnthropic(obj)
         return model

packages/components/nodes/chatmodels/ChatGooglePaLM/ChatGooglePaLM.ts

@@ -1,6 +1,7 @@
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { ChatGooglePaLM, GooglePaLMChatInput } from 'langchain/chat_models/googlepalm'
+import { BaseCache } from 'langchain/schema'
 
 class ChatGooglePaLM_ChatModels implements INode {
     label: string
@@ -17,7 +18,7 @@ class ChatGooglePaLM_ChatModels implements INode {
     constructor() {
         this.label = 'ChatGooglePaLM'
         this.name = 'chatGooglePaLM'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatGooglePaLM'
         this.icon = 'Google_PaLM_Logo.svg'
         this.category = 'Chat Models'
@@ -30,6 +31,12 @@ class ChatGooglePaLM_ChatModels implements INode {
             credentialNames: ['googleMakerSuite']
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -96,6 +103,7 @@ class ChatGooglePaLM_ChatModels implements INode {
         const temperature = nodeData.inputs?.temperature as string
         const topP = nodeData.inputs?.topP as string
         const topK = nodeData.inputs?.topK as string
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData)
@@ -108,6 +116,7 @@ class ChatGooglePaLM_ChatModels implements INode {
 
         if (topP) obj.topP = parseFloat(topP)
         if (topK) obj.topK = parseFloat(topK)
+        if (cache) obj.cache = cache
 
         const model = new ChatGooglePaLM(obj)
         return model

packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts

@@ -2,6 +2,7 @@ import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Inter
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { ChatGoogleVertexAI, GoogleVertexAIChatInput } from 'langchain/chat_models/googlevertexai'
 import { GoogleAuthOptions } from 'google-auth-library'
+import { BaseCache } from 'langchain/schema'
 
 class GoogleVertexAI_ChatModels implements INode {
     label: string
@@ -18,7 +19,7 @@ class GoogleVertexAI_ChatModels implements INode {
     constructor() {
         this.label = 'ChatGoogleVertexAI'
         this.name = 'chatGoogleVertexAI'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatGoogleVertexAI'
         this.icon = 'vertexai.svg'
         this.category = 'Chat Models'
@@ -34,6 +35,12 @@ class GoogleVertexAI_ChatModels implements INode {
                 'Google Vertex AI credential. If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.'
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -113,6 +120,7 @@ class GoogleVertexAI_ChatModels implements INode {
         const modelName = nodeData.inputs?.modelName as string
         const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
         const topP = nodeData.inputs?.topP as string
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
         const obj: GoogleVertexAIChatInput<GoogleAuthOptions> = {
             temperature: parseFloat(temperature),
@@ -122,6 +130,7 @@ class GoogleVertexAI_ChatModels implements INode {
 
         if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
         if (topP) obj.topP = parseFloat(topP)
+        if (cache) obj.cache = cache
 
         const model = new ChatGoogleVertexAI(obj)
         return model

packages/components/nodes/chatmodels/ChatHuggingFace/ChatHuggingFace.ts

@@ -1,6 +1,7 @@
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { HFInput, HuggingFaceInference } from './core'
+import { BaseCache } from 'langchain/schema'
 
 class ChatHuggingFace_ChatModels implements INode {
     label: string
@@ -17,7 +18,7 @@ class ChatHuggingFace_ChatModels implements INode {
     constructor() {
         this.label = 'ChatHuggingFace'
         this.name = 'chatHuggingFace'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatHuggingFace'
         this.icon = 'huggingface.png'
         this.category = 'Chat Models'
@@ -30,6 +31,12 @@ class ChatHuggingFace_ChatModels implements INode {
             credentialNames: ['huggingFaceApi']
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model',
                 name: 'model',
@@ -102,6 +109,7 @@ class ChatHuggingFace_ChatModels implements INode {
         const hfTopK = nodeData.inputs?.hfTopK as string
         const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
         const endpoint = nodeData.inputs?.endpoint as string
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
@@ -119,6 +127,7 @@ class ChatHuggingFace_ChatModels implements INode {
         if (endpoint) obj.endpoint = endpoint
 
         const huggingFace = new HuggingFaceInference(obj)
+        if (cache) huggingFace.cache = cache
         return huggingFace
     }
 }

packages/components/nodes/chatmodels/ChatLocalAI/ChatLocalAI.ts

@@ -2,6 +2,8 @@ import { INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses } from '../../../src/utils'
 import { OpenAIChat } from 'langchain/llms/openai'
 import { OpenAIChatInput } from 'langchain/chat_models/openai'
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 
 class ChatLocalAI_ChatModels implements INode {
     label: string
@@ -17,13 +19,19 @@ class ChatLocalAI_ChatModels implements INode {
     constructor() {
         this.label = 'ChatLocalAI'
         this.name = 'chatLocalAI'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatLocalAI'
         this.icon = 'localai.png'
         this.category = 'Chat Models'
         this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI'
         this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(OpenAIChat)]
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Base Path',
                 name: 'basePath',
@@ -78,8 +86,9 @@ class ChatLocalAI_ChatModels implements INode {
         const topP = nodeData.inputs?.topP as string
         const timeout = nodeData.inputs?.timeout as string
         const basePath = nodeData.inputs?.basePath as string
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
-        const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
+        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey: 'sk-'
@@ -88,6 +97,7 @@ class ChatLocalAI_ChatModels implements INode {
         if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
         if (topP) obj.topP = parseFloat(topP)
         if (timeout) obj.timeout = parseInt(timeout, 10)
+        if (cache) obj.cache = cache
 
         const model = new OpenAIChat(obj, { basePath })
 

packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts

@@ -1,6 +1,8 @@
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai'
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 
 class ChatOpenAI_ChatModels implements INode {
     label: string
@@ -17,7 +19,7 @@ class ChatOpenAI_ChatModels implements INode {
     constructor() {
         this.label = 'ChatOpenAI'
         this.name = 'chatOpenAI'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatOpenAI'
         this.icon = 'openai.png'
         this.category = 'Chat Models'
@@ -30,6 +32,12 @@ class ChatOpenAI_ChatModels implements INode {
             credentialNames: ['openAIApi']
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -151,7 +159,9 @@ class ChatOpenAI_ChatModels implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
+        const cache = nodeData.inputs?.llmCache as BaseCache
+
+        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey,
@@ -163,6 +173,7 @@ class ChatOpenAI_ChatModels implements INode {
         if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
         if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
         if (timeout) obj.timeout = parseInt(timeout, 10)
+        if (cache) obj.cache = cache
 
         let parsedBaseOptions: any | undefined = undefined
 

packages/components/nodes/chatmodels/ChatOpenAICustom/ChatOpenAICustom.ts

@@ -1,6 +1,8 @@
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai'
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 
 class ChatOpenAICustom_ChatModels implements INode {
     label: string
@@ -17,7 +19,7 @@ class ChatOpenAICustom_ChatModels implements INode {
     constructor() {
         this.label = 'ChatOpenAI Custom'
         this.name = 'chatOpenAICustom'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'ChatOpenAI-Custom'
         this.icon = 'openai.png'
         this.category = 'Chat Models'
@@ -31,6 +33,12 @@ class ChatOpenAICustom_ChatModels implements INode {
             optional: true
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -113,11 +121,12 @@ class ChatOpenAICustom_ChatModels implements INode {
         const streaming = nodeData.inputs?.streaming as boolean
         const basePath = nodeData.inputs?.basepath as string
         const baseOptions = nodeData.inputs?.baseOptions
+        const cache = nodeData.inputs?.llmCache as BaseCache
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
+        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey,
@@ -129,6 +138,7 @@ class ChatOpenAICustom_ChatModels implements INode {
         if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
         if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
         if (timeout) obj.timeout = parseInt(timeout, 10)
+        if (cache) obj.cache = cache
 
         let parsedBaseOptions: any | undefined = undefined