Feature: Add SambaNova (#4961)

* add sambanova

* add sambanova credential

* fix samba nova chat node

---------

Co-authored-by: Henry <[email protected]>

Author: luisfucros

packages/components/credentials/SambanovaApi.credential.ts

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

packages/components/nodes/chatmodels/ChatSambanova/ChatSambanova.ts

@@ -0,0 +1,123 @@
+import { BaseCache } from '@langchain/core/caches'
+import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+
+class ChatSambanova_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 = 'ChatSambanova'
+        this.name = 'chatSambanova'
+        this.version = 1.0
+        this.type = 'ChatSambanova'
+        this.icon = 'sambanova.png'
+        this.category = 'Chat Models'
+        this.description = 'Wrapper around Sambanova Chat Endpoints'
+        this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['sambanovaApi']
+        }
+        this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'BaseCache',
+                optional: true
+            },
+            {
+                label: 'Model',
+                name: 'modelName',
+                type: 'string',
+                default: 'Meta-Llama-3.3-70B-Instruct',
+                placeholder: 'Meta-Llama-3.3-70B-Instruct'
+            },
+            {
+                label: 'Temperature',
+                name: 'temperature',
+                type: 'number',
+                step: 0.1,
+                default: 0.9,
+                optional: true
+            },
+            {
+                label: 'Streaming',
+                name: 'streaming',
+                type: 'boolean',
+                default: true,
+                optional: true
+            },
+            {
+                label: 'BasePath',
+                name: 'basepath',
+                type: 'string',
+                optional: true,
+                default: 'htps://api.sambanova.ai/v1',
+                additionalParams: true
+            },
+            {
+                label: 'BaseOptions',
+                name: 'baseOptions',
+                type: 'json',
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const cache = nodeData.inputs?.cache as BaseCache
+        const temperature = nodeData.inputs?.temperature as string
+        const modelName = nodeData.inputs?.modelName as string
+        const streaming = nodeData.inputs?.streaming as boolean
+        const basePath = nodeData.inputs?.basepath as string
+        const baseOptions = nodeData.inputs?.baseOptions
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const sambanovaApiKey = getCredentialParam('sambanovaApiKey', credentialData, nodeData)
+
+        const obj: ChatOpenAIFields = {
+            temperature: temperature ? parseFloat(temperature) : undefined,
+            model: modelName,
+            apiKey: sambanovaApiKey,
+            openAIApiKey: sambanovaApiKey,
+            streaming: streaming ?? true
+        }
+
+        if (cache) obj.cache = cache
+
+        let parsedBaseOptions: any | undefined = undefined
+
+        if (baseOptions) {
+            try {
+                parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
+            } catch (exception) {
+                throw new Error("Invalid JSON in the ChatSambanova's BaseOptions: " + exception)
+            }
+        }
+
+        if (basePath || parsedBaseOptions) {
+            obj.configuration = {
+                baseURL: basePath,
+                defaultHeaders: parsedBaseOptions
+            }
+        }
+
+        const model = new ChatOpenAI(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: ChatSambanova_ChatModels }

packages/components/nodes/chatmodels/ChatSambanova/sambanova.png

@@ -0,0 +1,71 @@
+import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
+import { OpenAI } from '@langchain/openai'
+import { BaseCache } from '@langchain/core/caches'
+
+class Sambanova_LLMs 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 = 'Sambanova'
+        this.name = 'sambanova'
+        this.version = 1.0
+        this.type = 'Sambanova'
+        this.icon = 'sambanova.png'
+        this.category = 'LLMs'
+        this.description = 'Wrapper around Sambanova API for large language models'
+        this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['sambanovaApi']
+        }
+        this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'BaseCache',
+                optional: true
+            },
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'string',
+                default: 'Meta-Llama-3.3-70B-Instruct',
+                description: 'For more details see https://docs.sambanova.ai/cloud/docs/get-started/supported-models',
+                optional: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const cache = nodeData.inputs?.cache as BaseCache
+        const modelName = nodeData.inputs?.modelName as string
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const sambanovaKey = getCredentialParam('sambanovaApiKey', credentialData, nodeData)
+
+        const obj: any = {
+            model: modelName,
+            configuration: {
+                baseURL: 'https://api.sambanova.ai/v1',
+                apiKey: sambanovaKey
+            }
+        }
+        if (cache) obj.cache = cache
+
+        const sambanova = new OpenAI(obj)
+        return sambanova
+    }
+}
+
+module.exports = { nodeClass: Sambanova_LLMs }

packages/components/nodes/llms/SambaNova/Sambanova.ts

@@ -1490,6 +1490,7 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod
             'chatTogetherAI',
             'chatTogetherAI_LlamaIndex',
             'chatFireworks',
+            'ChatSambanova',
             'chatBaiduWenxin'
         ],
         LLMs: ['azureOpenAI', 'openAI', 'ollama']