add groq

packages/components/credentials/GroqApi.credential.ts

@@ -0,0 +1,23 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class GroqApi implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Groq API'
+        this.name = 'groqApi'
+        this.version = 1.0
+        this.inputs = [
+            {
+                label: 'Groq Api Key',
+                name: 'groqApiKey',
+                type: 'password'
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: GroqApi }

packages/components/nodes/chatmodels/Groq/Groq.ts

@@ -0,0 +1,80 @@
+import { BaseCache } from '@langchain/core/caches'
+import { ChatGroq, ChatGroqInput } from '@langchain/groq'
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+
+class Groq_ChatModels implements INode {
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    description: string
+    baseClasses: string[]
+    credential: INodeParams
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'GroqChat'
+        this.name = 'groqChat'
+        this.version = 2.0
+        this.type = 'GroqChat'
+        this.icon = 'groq.png'
+        this.category = 'Chat Models'
+        this.description = 'Wrapper around Groq API with LPU Inference Engine'
+        this.baseClasses = [this.type, ...getBaseClasses(ChatGroq)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['groqApi'],
+            optional: true
+        }
+        this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'BaseCache',
+                optional: true
+            },
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'string',
+                placeholder: 'ft:gpt-3.5-turbo:my-org:custom_suffix:id'
+            },
+            {
+                label: 'Temperature',
+                name: 'temperature',
+                type: 'number',
+                step: 0.1,
+                default: 0.9,
+                optional: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const modelName = nodeData.inputs?.modelName as string
+        const cache = nodeData.inputs?.cache as BaseCache
+        const temperature = nodeData.inputs?.temperature as string
+        const streaming = nodeData.inputs?.streaming as boolean
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const groqApiKey = getCredentialParam('groqApiKey', credentialData, nodeData)
+
+        const obj: ChatGroqInput = {
+            modelName,
+            temperature: parseFloat(temperature),
+            apiKey: groqApiKey,
+            streaming: streaming ?? true
+        }
+        if (cache) obj.cache = cache
+
+        const model = new ChatGroq(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: Groq_ChatModels }

packages/components/package.json

@@ -33,6 +33,7 @@
         "@langchain/cohere": "^0.0.5",
         "@langchain/community": "^0.0.30",
         "@langchain/google-genai": "^0.0.10",
+        "@langchain/groq": "^0.0.2",
         "@langchain/mistralai": "^0.0.7",
         "@langchain/openai": "^0.0.14",
         "@langchain/pinecone": "^0.0.3",

packages/server/src/utils/index.ts

@@ -855,7 +855,8 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod
             'chatAnthropic_LlamaIndex',
             'chatOllama',
             'awsChatBedrock',
-            'chatMistralAI'
+            'chatMistralAI',
+            'groqChat'
         ],
         LLMs: ['azureOpenAI', 'openAI', 'ollama']
     }