Extending support for Caching to all LLM's.

packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts

@@ -1,7 +1,8 @@
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
-
+import { BaseCache } from 'langchain/schema'
+import { BaseLLMParams } from 'langchain/llms/base'
 class AzureOpenAI_LLMs implements INode {
     label: string
     name: string
@@ -17,7 +18,7 @@ class AzureOpenAI_LLMs implements INode {
     constructor() {
         this.label = 'Azure OpenAI'
         this.name = 'azureOpenAI'
-        this.version = 1.0
+        this.version = 2.0
         this.type = 'AzureOpenAI'
         this.icon = 'Azure.svg'
         this.category = 'LLMs'
@@ -30,6 +31,12 @@ class AzureOpenAI_LLMs implements INode {
             credentialNames: ['azureOpenAIApi']
         }
         this.inputs = [
+            {
+                label: 'Cache',
+                name: 'llmCache',
+                type: 'LLMCache',
+                optional: true
+            },
             {
                 label: 'Model Name',
                 name: 'modelName',
@@ -163,7 +170,9 @@ class AzureOpenAI_LLMs implements INode {
         const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
         const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
 
-        const obj: Partial<AzureOpenAIInput> & Partial<OpenAIInput> = {
+        const llmCache = nodeData.inputs?.llmCache as BaseCache
+
+        const obj: Partial<AzureOpenAIInput> & BaseLLMParams & Partial<OpenAIInput> = {
             temperature: parseFloat(temperature),
             modelName,
             azureOpenAIApiKey,
@@ -179,6 +188,7 @@ class AzureOpenAI_LLMs implements INode {
         if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
         if (timeout) obj.timeout = parseInt(timeout, 10)
         if (bestOf) obj.bestOf = parseInt(bestOf, 10)
+        if (llmCache) obj.cache = llmCache
 
         const model = new OpenAI(obj)
         return model