Feature/update openai version, add reasoning effort param, add o3 mini (#3973)

* update openai version, add reasoning effort param

* update azure

* add filter for pinecone llamaindex

* update graph cypher qa chain

package.json

@@ -71,9 +71,9 @@
     },
     "resolutions": {
         "@google/generative-ai": "^0.15.0",
-        "@langchain/core": "0.3.29",
+        "@langchain/core": "0.3.37",
         "@qdrant/openapi-typescript-fetch": "1.2.6",
-        "openai": "4.57.3",
+        "openai": "4.82.0",
         "protobufjs": "7.4.0"
     },
     "eslintIgnore": [

packages/components/models.json

@@ -230,6 +230,14 @@
         {
             "name": "azureChatOpenAI",
             "models": [
+                {
+                    "label": "o3-mini",
+                    "name": "o3-mini"
+                },
+                {
+                    "label": "o1",
+                    "name": "o1"
+                },
                 {
                     "label": "o1-preview",
                     "name": "o1-preview"
@@ -397,6 +405,10 @@
         {
             "name": "chatGoogleGenerativeAI",
             "models": [
+                {
+                    "label": "gemini-2.0-flash-exp",
+                    "name": "gemini-2.0-flash-exp"
+                },
                 {
                     "label": "gemini-1.5-flash-latest",
                     "name": "gemini-1.5-flash-latest"

packages/components/nodes/chains/GraphCypherQAChain/GraphCypherQAChain.ts

@@ -23,7 +23,7 @@ class GraphCypherQA_Chain implements INode {
     constructor(fields?: { sessionId?: string }) {
         this.label = 'Graph Cypher QA Chain'
         this.name = 'graphCypherQAChain'
-        this.version = 1.0
+        this.version = 1.1
         this.type = 'GraphCypherQAChain'
         this.icon = 'graphqa.svg'
         this.category = 'Chains'
@@ -47,7 +47,8 @@ class GraphCypherQA_Chain implements INode {
                 name: 'cypherPrompt',
                 optional: true,
                 type: 'BasePromptTemplate',
-                description: 'Prompt template for generating Cypher queries. Must include {schema} and {question} variables'
+                description:
+                    'Prompt template for generating Cypher queries. Must include {schema} and {question} variables. If not provided, default prompt will be used.'
             },
             {
                 label: 'Cypher Generation Model',
@@ -61,7 +62,8 @@ class GraphCypherQA_Chain implements INode {
                 name: 'qaPrompt',
                 optional: true,
                 type: 'BasePromptTemplate',
-                description: 'Prompt template for generating answers. Must include {context} and {question} variables'
+                description:
+                    'Prompt template for generating answers. Must include {context} and {question} variables. If not provided, default prompt will be used.'
             },
             {
                 label: 'QA Model',
@@ -111,6 +113,10 @@ class GraphCypherQA_Chain implements INode {
         const returnDirect = nodeData.inputs?.returnDirect as boolean
         const output = nodeData.outputs?.output as string
 
+        if (!model) {
+            throw new Error('Language Model is required')
+        }
+
         // Handle prompt values if they exist
         let cypherPromptTemplate: PromptTemplate | FewShotPromptTemplate | undefined
         let qaPromptTemplate: PromptTemplate | undefined
@@ -147,10 +153,6 @@ class GraphCypherQA_Chain implements INode {
             })
         }
 
-        if ((!cypherModel || !qaModel) && !model) {
-            throw new Error('Language Model is required when Cypher Model or QA Model are not provided')
-        }
-
         // Validate required variables in prompts
         if (
             cypherPromptTemplate &&
@@ -165,13 +167,13 @@ class GraphCypherQA_Chain implements INode {
             returnDirect
         }
 
-        if (cypherModel && cypherPromptTemplate) {
+        if (cypherPromptTemplate) {
-            fromLLMInput['cypherLLM'] = cypherModel
+            fromLLMInput['cypherLLM'] = cypherModel ?? model
             fromLLMInput['cypherPrompt'] = cypherPromptTemplate
         }
 
-        if (qaModel && qaPromptTemplate) {
+        if (qaPromptTemplate) {
-            fromLLMInput['qaLLM'] = qaModel
+            fromLLMInput['qaLLM'] = qaModel ?? model
             fromLLMInput['qaPrompt'] = qaPromptTemplate
         }
 

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

@@ -1,11 +1,9 @@
-import { AzureOpenAIInput, ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput, ClientOptions, LegacyOpenAIInput } from '@langchain/openai'
+import { AzureOpenAIInput, AzureChatOpenAI as LangchainAzureChatOpenAI, ChatOpenAIFields, OpenAIClient } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, IMultiModalOption, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
-import { ChatOpenAI } from '../ChatOpenAI/FlowiseChatOpenAI'
 import { getModels, MODEL_TYPE } from '../../../src/modelLoader'
-import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
+import { AzureChatOpenAI } from './FlowiseAzureChatOpenAI'
 
 const serverCredentialsExists =
     !!process.env.AZURE_OPENAI_API_KEY &&
@@ -33,7 +31,7 @@ class AzureChatOpenAI_ChatModels implements INode {
         this.icon = 'Azure.svg'
         this.category = 'Chat Models'
         this.description = 'Wrapper around Azure OpenAI large language models that use the Chat endpoint'
-        this.baseClasses = [this.type, ...getBaseClasses(LangchainChatOpenAI)]
+        this.baseClasses = [this.type, ...getBaseClasses(LangchainAzureChatOpenAI)]
         this.credential = {
             label: 'Connect Credential',
             name: 'credential',
@@ -155,6 +153,29 @@ class AzureChatOpenAI_ChatModels implements INode {
                 default: 'low',
                 optional: false,
                 additionalParams: true
+            },
+            {
+                label: 'Reasoning Effort',
+                description: 'Constrains effort on reasoning for reasoning models. Only applicable for o1 models',
+                name: 'reasoningEffort',
+                type: 'options',
+                options: [
+                    {
+                        label: 'Low',
+                        name: 'low'
+                    },
+                    {
+                        label: 'Medium',
+                        name: 'medium'
+                    },
+                    {
+                        label: 'High',
+                        name: 'high'
+                    }
+                ],
+                default: 'low',
+                optional: false,
+                additionalParams: true
             }
         ]
     }
@@ -178,6 +199,7 @@ class AzureChatOpenAI_ChatModels implements INode {
         const topP = nodeData.inputs?.topP as string
         const basePath = nodeData.inputs?.basepath as string
         const baseOptions = nodeData.inputs?.baseOptions
+        const reasoningEffort = nodeData.inputs?.reasoningEffort as OpenAIClient.Chat.ChatCompletionReasoningEffort
 
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
@@ -188,10 +210,7 @@ class AzureChatOpenAI_ChatModels implements INode {
         const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean
         const imageResolution = nodeData.inputs?.imageResolution as string
 
-        const obj: Partial<AzureOpenAIInput> &
+        const obj: ChatOpenAIFields & Partial<AzureOpenAIInput> = {
-            BaseLLMParams &
-            Partial<OpenAIChatInput> &
-            BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput } = {
             temperature: parseFloat(temperature),
             modelName,
             azureOpenAIApiKey,
@@ -218,6 +237,12 @@ class AzureChatOpenAI_ChatModels implements INode {
                 console.error('Error parsing base options', exception)
             }
         }
+        if (modelName === 'o3-mini') {
+            delete obj.temperature
+        }
+        if ((modelName.includes('o1') || modelName.includes('o3')) && reasoningEffort) {
+            obj.reasoningEffort = reasoningEffort
+        }
 
         const multiModalOption: IMultiModalOption = {
             image: {
@@ -226,7 +251,7 @@ class AzureChatOpenAI_ChatModels implements INode {
             }
         }
 
-        const model = new ChatOpenAI(nodeData.id, obj)
+        const model = new AzureChatOpenAI(nodeData.id, obj)
         model.setMultiModalOption(multiModalOption)
         return model
     }

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

@@ -0,0 +1,41 @@
+import { AzureChatOpenAI as LangchainAzureChatOpenAI, OpenAIChatInput, AzureOpenAIInput, ClientOptions } from '@langchain/openai'
+import { IMultiModalOption, IVisionChatModal } from '../../../src'
+import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
+
+export class AzureChatOpenAI extends LangchainAzureChatOpenAI implements IVisionChatModal {
+    configuredModel: string
+    configuredMaxToken?: number
+    multiModalOption: IMultiModalOption
+    id: string
+
+    constructor(
+        id: string,
+        fields?: Partial<OpenAIChatInput> &
+            Partial<AzureOpenAIInput> & {
+                openAIApiKey?: string
+                openAIApiVersion?: string
+                openAIBasePath?: string
+                deploymentName?: string
+            } & BaseChatModelParams & {
+                configuration?: ClientOptions
+            }
+    ) {
+        super(fields)
+        this.id = id
+        this.configuredModel = fields?.modelName ?? ''
+        this.configuredMaxToken = fields?.maxTokens
+    }
+
+    revertToOriginalModel(): void {
+        this.modelName = this.configuredModel
+        this.maxTokens = this.configuredMaxToken
+    }
+
+    setMultiModalOption(multiModalOption: IMultiModalOption): void {
+        this.multiModalOption = multiModalOption
+    }
+
+    setVisionModel(): void {
+        // pass
+    }
+}

packages/components/nodes/chatmodels/ChatCerebras/ChatCerebras.ts

@@ -1,6 +1,5 @@
-import { ChatOpenAI, OpenAIChatInput } from '@langchain/openai'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -135,7 +134,7 @@ class ChatCerebras_ChatModels implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const cerebrasAIApiKey = getCredentialParam('cerebrasApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIChatInput> & BaseLLMParams = {
+        const obj: ChatOpenAIFields = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey: cerebrasAIApiKey,
@@ -158,10 +157,15 @@ class ChatCerebras_ChatModels implements INode {
                 throw new Error("Invalid JSON in the ChatCerebras's BaseOptions: " + exception)
             }
         }
-        const model = new ChatOpenAI(obj, {
+
-            basePath,
+        if (basePath || parsedBaseOptions) {
-            baseOptions: parsedBaseOptions
+            obj.configuration = {
-        })
+                baseURL: basePath,
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new ChatOpenAI(obj)
         return model
     }
 }

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

@@ -1,6 +1,5 @@
-import { OpenAIChatInput, ChatOpenAI } from '@langchain/openai'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -108,7 +107,7 @@ class ChatLocalAI_ChatModels implements INode {
 
         const cache = nodeData.inputs?.cache as BaseCache
 
-        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
+        const obj: ChatOpenAIFields = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey: 'sk-',
@@ -120,8 +119,9 @@ class ChatLocalAI_ChatModels implements INode {
         if (timeout) obj.timeout = parseInt(timeout, 10)
         if (cache) obj.cache = cache
         if (localAIApiKey) obj.openAIApiKey = localAIApiKey
+        if (basePath) obj.configuration = { baseURL: basePath }
 
-        const model = new ChatOpenAI(obj, { basePath })
+        const model = new ChatOpenAI(obj)
 
         return model
     }

packages/components/nodes/chatmodels/ChatNvdiaNIM/ChatNvdiaNIM.ts

@@ -1,6 +1,5 @@
-import { ChatOpenAI, OpenAIChatInput } from '@langchain/openai'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -134,7 +133,7 @@ class ChatNvdiaNIM_ChatModels implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const nvdiaNIMApiKey = getCredentialParam('nvdiaNIMApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { nvdiaNIMApiKey?: string } = {
+        const obj: ChatOpenAIFields & { nvdiaNIMApiKey?: string } = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey: nvdiaNIMApiKey,
@@ -154,14 +153,18 @@ class ChatNvdiaNIM_ChatModels implements INode {
             try {
                 parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
             } catch (exception) {
-                throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception)
+                throw new Error("Invalid JSON in the ChatNvidiaNIM's baseOptions: " + exception)
             }
         }
 
-        const model = new ChatOpenAI(obj, {
+        if (basePath || parsedBaseOptions) {
-            basePath,
+            obj.configuration = {
-            baseOptions: parsedBaseOptions
+                baseURL: basePath,
-        })
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new ChatOpenAI(obj)
         return model
     }
 }

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

@@ -1,7 +1,5 @@
-import type { ClientOptions } from 'openai'
+import { ChatOpenAI as LangchainChatOpenAI, ChatOpenAIFields, OpenAIClient } from '@langchain/openai'
-import { ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput, AzureOpenAIInput, LegacyOpenAIInput } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
 import { ICommonObject, IMultiModalOption, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { ChatOpenAI } from './FlowiseChatOpenAI'
@@ -23,7 +21,7 @@ class ChatOpenAI_ChatModels implements INode {
     constructor() {
         this.label = 'ChatOpenAI'
         this.name = 'chatOpenAI'
-        this.version = 8.0
+        this.version = 8.1
         this.type = 'ChatOpenAI'
         this.icon = 'openai.svg'
         this.category = 'Chat Models'
@@ -105,6 +103,24 @@ class ChatOpenAI_ChatModels implements INode {
                 optional: true,
                 additionalParams: true
             },
+            {
+                label: 'Strict Tool Calling',
+                name: 'strictToolCalling',
+                type: 'boolean',
+                description:
+                    'Whether the model supports the `strict` argument when passing in tools. If not specified, the `strict` argument will not be passed to OpenAI.',
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Stop Sequence',
+                name: 'stopSequence',
+                type: 'string',
+                rows: 4,
+                optional: true,
+                description: 'List of stop words to use when generating. Use comma to separate multiple stop words.',
+                additionalParams: true
+            },
             {
                 label: 'BasePath',
                 name: 'basepath',
@@ -119,15 +135,6 @@ class ChatOpenAI_ChatModels implements INode {
                 optional: true,
                 additionalParams: true
             },
-            {
-                label: 'Stop Sequence',
-                name: 'stopSequence',
-                type: 'string',
-                rows: 4,
-                optional: true,
-                description: 'List of stop words to use when generating. Use comma to separate multiple stop words.',
-                additionalParams: true
-            },
             {
                 label: 'BaseOptions',
                 name: 'baseOptions',
@@ -166,6 +173,29 @@ class ChatOpenAI_ChatModels implements INode {
                 default: 'low',
                 optional: false,
                 additionalParams: true
+            },
+            {
+                label: 'Reasoning Effort',
+                description: 'Constrains effort on reasoning for reasoning models. Only applicable for o1 models',
+                name: 'reasoningEffort',
+                type: 'options',
+                options: [
+                    {
+                        label: 'Low',
+                        name: 'low'
+                    },
+                    {
+                        label: 'Medium',
+                        name: 'medium'
+                    },
+                    {
+                        label: 'High',
+                        name: 'high'
+                    }
+                ],
+                default: 'low',
+                optional: false,
+                additionalParams: true
             }
         ]
     }
@@ -187,9 +217,11 @@ class ChatOpenAI_ChatModels implements INode {
         const timeout = nodeData.inputs?.timeout as string
         const stopSequence = nodeData.inputs?.stopSequence as string
         const streaming = nodeData.inputs?.streaming as boolean
+        const strictToolCalling = nodeData.inputs?.strictToolCalling as boolean
         const basePath = nodeData.inputs?.basepath as string
         const proxyUrl = nodeData.inputs?.proxyUrl as string
         const baseOptions = nodeData.inputs?.baseOptions
+        const reasoningEffort = nodeData.inputs?.reasoningEffort as OpenAIClient.Chat.ChatCompletionReasoningEffort
 
         const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean
         const imageResolution = nodeData.inputs?.imageResolution as string
@@ -202,9 +234,7 @@ class ChatOpenAI_ChatModels implements INode {
 
         const cache = nodeData.inputs?.cache as BaseCache
 
-        const obj: Partial<OpenAIChatInput> &
+        const obj: ChatOpenAIFields = {
-            Partial<AzureOpenAIInput> &
-            BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput } = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey,
@@ -214,6 +244,9 @@ class ChatOpenAI_ChatModels implements INode {
         if (modelName === 'o3-mini') {
             delete obj.temperature
         }
+        if ((modelName.includes('o1') || modelName.includes('o3')) && reasoningEffort) {
+            obj.reasoningEffort = reasoningEffort
+        }
         if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
         if (topP) obj.topP = parseFloat(topP)
         if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
@@ -224,6 +257,7 @@ class ChatOpenAI_ChatModels implements INode {
             const stopSequenceArray = stopSequence.split(',').map((item) => item.trim())
             obj.stop = stopSequenceArray
         }
+        if (strictToolCalling) obj.supportsStrictToolCalling = strictToolCalling
 
         let parsedBaseOptions: any | undefined = undefined
 
@@ -238,7 +272,7 @@ class ChatOpenAI_ChatModels implements INode {
         if (basePath || parsedBaseOptions) {
             obj.configuration = {
                 baseURL: basePath,
-                baseOptions: parsedBaseOptions
+                defaultHeaders: parsedBaseOptions
             }
         }
 

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

@@ -1,6 +1,4 @@
-import type { ClientOptions } from 'openai'
+import { ChatOpenAI as LangchainChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
-import { ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput, LegacyOpenAIInput, AzureOpenAIInput } from '@langchain/openai'
-import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
 import { IMultiModalOption, IVisionChatModal } from '../../../src'
 
 export class ChatOpenAI extends LangchainChatOpenAI implements IVisionChatModal {
@@ -9,15 +7,8 @@ export class ChatOpenAI extends LangchainChatOpenAI implements IVisionChatModal
     multiModalOption: IMultiModalOption
     id: string
 
-    constructor(
+    constructor(id: string, fields?: ChatOpenAIFields) {
-        id: string,
+        super(fields)
-        fields?: Partial<OpenAIChatInput> &
-            Partial<AzureOpenAIInput> &
-            BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput },
-        /** @deprecated */
-        configuration?: ClientOptions & LegacyOpenAIInput
-    ) {
-        super(fields, configuration)
         this.id = id
         this.configuredModel = fields?.modelName ?? ''
         this.configuredMaxToken = fields?.maxTokens

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

@@ -1,6 +1,5 @@
-import { ChatOpenAI, OpenAIChatInput } from '@langchain/openai'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -134,7 +133,7 @@ class ChatOpenAICustom_ChatModels implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
+        const obj: ChatOpenAIFields = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey,
@@ -157,10 +156,15 @@ class ChatOpenAICustom_ChatModels implements INode {
                 throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception)
             }
         }
-        const model = new ChatOpenAI(obj, {
+
-            basePath,
+        if (basePath || parsedBaseOptions) {
-            baseOptions: parsedBaseOptions
+            obj.configuration = {
-        })
+                baseURL: basePath,
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new ChatOpenAI(obj)
         return model
     }
 }

packages/components/nodes/chatmodels/ChatOpenRouter/ChatOpenRouter.ts

@@ -1,6 +1,5 @@
-import { ChatOpenAI, OpenAIChatInput } from '@langchain/openai'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
-import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -135,7 +134,7 @@ class ChatOpenRouter_ChatModels implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openRouterApiKey = getCredentialParam('openRouterApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIChatInput> & BaseLLMParams = {
+        const obj: ChatOpenAIFields = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey: openRouterApiKey,
@@ -158,10 +157,15 @@ class ChatOpenRouter_ChatModels implements INode {
                 throw new Error("Invalid JSON in the ChatCerebras's BaseOptions: " + exception)
             }
         }
-        const model = new ChatOpenAI(obj, {
+
-            basePath,
+        if (basePath || parsedBaseOptions) {
-            baseOptions: parsedBaseOptions
+            obj.configuration = {
-        })
+                baseURL: basePath,
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new ChatOpenAI(obj)
         return model
     }
 }

packages/components/nodes/chatmodels/Deepseek/Deepseek.ts

@@ -1,7 +1,5 @@
 import { BaseCache } from '@langchain/core/caches'
-import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
-import { ChatOpenAI, LegacyOpenAIInput, OpenAIChatInput } from '@langchain/openai'
-import type { ClientOptions } from 'openai'
 import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
 import { getModels, MODEL_TYPE } from '../../../src/modelLoader'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
@@ -151,7 +149,7 @@ class Deepseek_ChatModels implements INode {
 
         const cache = nodeData.inputs?.cache as BaseCache
 
-        const obj: Partial<OpenAIChatInput> & BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput } = {
+        const obj: ChatOpenAIFields = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey,

packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts

@@ -1,4 +1,4 @@
-import { AzureOpenAIInput, ClientOptions, LegacyOpenAIInput, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
+import { AzureOpenAIInput, ClientOptions, AzureOpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -28,7 +28,7 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
         this.icon = 'Azure.svg'
         this.category = 'Embeddings'
         this.description = 'Azure OpenAI API to generate embeddings for a given text'
-        this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
+        this.baseClasses = [this.type, ...getBaseClasses(AzureOpenAIEmbeddings)]
         this.credential = {
             label: 'Connect Credential',
             name: 'credential',
@@ -81,7 +81,7 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
         const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
         const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
 
-        const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> & { configuration?: ClientOptions & LegacyOpenAIInput } = {
+        const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> & { configuration?: ClientOptions } = {
             azureOpenAIApiKey,
             azureOpenAIApiInstanceName,
             azureOpenAIApiDeploymentName,
@@ -102,7 +102,7 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
             }
         }
 
-        const model = new OpenAIEmbeddings(obj)
+        const model = new AzureOpenAIEmbeddings(obj)
         return model
     }
 }

packages/components/nodes/embeddings/LocalAIEmbedding/LocalAIEmbedding.ts

@@ -1,4 +1,4 @@
-import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
+import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -53,14 +53,16 @@ class LocalAIEmbedding_Embeddings implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
+        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string; configuration?: ClientOptions } = {
             modelName,
             openAIApiKey: 'sk-'
         }
 
         if (localAIApiKey) obj.openAIApiKey = localAIApiKey
 
-        const model = new OpenAIEmbeddings(obj, { basePath })
+        if (basePath) obj.configuration = { baseURL: basePath }
+
+        const model = new OpenAIEmbeddings(obj)
 
         return model
     }

packages/components/nodes/embeddings/OpenAIEmbedding/OpenAIEmbedding.ts

@@ -1,4 +1,4 @@
-import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
+import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
 import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { MODEL_TYPE, getModels } from '../../../src/modelLoader'
@@ -97,7 +97,7 @@ class OpenAIEmbedding_Embeddings implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
+        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string; configuration?: ClientOptions } = {
             openAIApiKey,
             modelName
         }
@@ -107,7 +107,13 @@ class OpenAIEmbedding_Embeddings implements INode {
         if (timeout) obj.timeout = parseInt(timeout, 10)
         if (dimensions) obj.dimensions = parseInt(dimensions, 10)
 
-        const model = new OpenAIEmbeddings(obj, { basePath })
+        if (basePath) {
+            obj.configuration = {
+                baseURL: basePath
+            }
+        }
+
+        const model = new OpenAIEmbeddings(obj)
         return model
     }
 }

packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts

@@ -1,4 +1,4 @@
-import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
+import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
 import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 
@@ -93,7 +93,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
 
-        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
+        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string; configuration?: ClientOptions } = {
             openAIApiKey
         }
 
@@ -112,7 +112,14 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
             }
         }
 
-        const model = new OpenAIEmbeddings(obj, { baseURL: basePath, defaultHeaders: parsedBaseOptions })
+        if (basePath || parsedBaseOptions) {
+            obj.configuration = {
+                baseURL: basePath,
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new OpenAIEmbeddings(obj)
         return model
     }
 }

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

@@ -1,4 +1,4 @@
-import { AzureOpenAIInput, OpenAI, OpenAIInput } from '@langchain/openai'
+import { AzureOpenAIInput, AzureOpenAI, OpenAIInput } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
 import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
@@ -31,7 +31,7 @@ class AzureOpenAI_LLMs implements INode {
         this.icon = 'Azure.svg'
         this.category = 'LLMs'
         this.description = 'Wrapper around Azure OpenAI large language models'
-        this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
+        this.baseClasses = [this.type, ...getBaseClasses(AzureOpenAI)]
         this.credential = {
             label: 'Connect Credential',
             name: 'credential',
@@ -165,7 +165,7 @@ class AzureOpenAI_LLMs implements INode {
         if (cache) obj.cache = cache
         if (basePath) obj.azureOpenAIBasePath = basePath
 
-        const model = new OpenAI(obj)
+        const model = new AzureOpenAI(obj)
         return model
     }
 }

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

@@ -1,4 +1,4 @@
-import { OpenAI, OpenAIInput } from '@langchain/openai'
+import { ClientOptions, OpenAI, OpenAIInput } from '@langchain/openai'
 import { BaseCache } from '@langchain/core/caches'
 import { BaseLLMParams } from '@langchain/core/language_models/llms'
 import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
@@ -153,7 +153,7 @@ class OpenAI_LLMs implements INode {
 
         const cache = nodeData.inputs?.cache as BaseCache
 
-        const obj: Partial<OpenAIInput> & BaseLLMParams & { openAIApiKey?: string } = {
+        const obj: Partial<OpenAIInput> & BaseLLMParams & { configuration?: ClientOptions } = {
             temperature: parseFloat(temperature),
             modelName,
             openAIApiKey,
@@ -179,10 +179,14 @@ class OpenAI_LLMs implements INode {
             }
         }
 
-        const model = new OpenAI(obj, {
+        if (basePath || parsedBaseOptions) {
-            basePath,
+            obj.configuration = {
-            baseOptions: parsedBaseOptions
+                baseURL: basePath,
-        })
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new OpenAI(obj)
         return model
     }
 }

packages/components/nodes/vectorstores/Pinecone/Pinecone_LlamaIndex.ts

@@ -295,8 +295,11 @@ class PineconeVectorStore extends VectorStoreBase implements VectorStoreNoEmbedM
     async query(query: VectorStoreQuery): Promise<VectorStoreQueryResult> {
         const queryOptions: any = {
             vector: query.queryEmbedding,
-            topK: query.similarityTopK,
+            topK: query.similarityTopK
-            filter: this.queryFilter
+        }
+
+        if (this.queryFilter && Object.keys(this.queryFilter).length > 0) {
+            queryOptions.filter = this.queryFilter
         }
 
         const idx = await this.index()

packages/components/package.json

@@ -42,7 +42,7 @@
         "@langchain/baidu-qianfan": "^0.1.0",
         "@langchain/cohere": "^0.0.7",
         "@langchain/community": "^0.3.24",
-        "@langchain/core": "0.3.29",
+        "@langchain/core": "0.3.37",
         "@langchain/exa": "^0.0.5",
         "@langchain/google-genai": "0.1.3",
         "@langchain/google-vertexai": "^0.1.2",
@@ -51,7 +51,7 @@
         "@langchain/mistralai": "^0.2.0",
         "@langchain/mongodb": "^0.0.1",
         "@langchain/ollama": "0.1.2",
-        "@langchain/openai": "0.3.13",
+        "@langchain/openai": "0.4.2",
         "@langchain/pinecone": "^0.1.3",
         "@langchain/qdrant": "^0.0.5",
         "@langchain/weaviate": "^0.0.1",
@@ -114,7 +114,7 @@
         "notion-to-md": "^3.1.1",
         "object-hash": "^3.0.0",
         "ollama": "^0.5.11",
-        "openai": "^4.57.3",
+        "openai": "^4.82.0",
         "papaparse": "^5.4.1",
         "pdf-parse": "^1.1.1",
         "pdfjs-dist": "^3.7.107",

packages/components/src/followUpPrompts.ts

@@ -3,7 +3,7 @@ import { getCredentialData } from './utils'
 import { ChatAnthropic } from '@langchain/anthropic'
 import { ChatGoogleGenerativeAI } from '@langchain/google-genai'
 import { ChatMistralAI } from '@langchain/mistralai'
-import { ChatOpenAI } from '@langchain/openai'
+import { ChatOpenAI, AzureChatOpenAI } from '@langchain/openai'
 import { z } from 'zod'
 import { PromptTemplate } from '@langchain/core/prompts'
 import { StructuredOutputParser } from '@langchain/core/output_parsers'
@@ -46,7 +46,7 @@ export const generateFollowUpPrompts = async (
                 const azureOpenAIApiDeploymentName = credentialData['azureOpenAIApiDeploymentName']
                 const azureOpenAIApiVersion = credentialData['azureOpenAIApiVersion']
 
-                const llm = new ChatOpenAI({
+                const llm = new AzureChatOpenAI({
                     azureOpenAIApiKey,
                     azureOpenAIApiInstanceName,
                     azureOpenAIApiDeploymentName,

packages/server/package.json

@@ -97,7 +97,7 @@
         "multer": "^1.4.5-lts.1",
         "multer-s3": "^3.0.1",
         "mysql2": "^3.11.3",
-        "openai": "^4.57.3",
+        "openai": "^4.82.0",
         "pg": "^8.11.1",
         "posthog-node": "^3.5.0",
         "prom-client": "^15.1.3",