Add Cerebras Node and Credential (#3377)

packages/components/credentials/CerebrasApi.credential.ts

@@ -0,0 +1,25 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class CerebrasAPIAuth implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Cerebras API Key'
+        this.name = 'cerebrasAIApi'
+        this.version = 1.0
+        this.inputs = [
+            {
+                label: 'Cerebras API Key',
+                name: 'cerebrasApiKey',
+                type: 'password',
+                description: 'API Key (cloud.cerebras.ai)'
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: CerebrasAPIAuth }

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

@@ -0,0 +1,161 @@
+import { ChatOpenAI, OpenAIChatInput } 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'
+
+class ChatCerebras_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 = 'ChatCerebras'
+        this.name = 'chatCerebras'
+        this.version = 1.0
+        this.type = 'ChatCerebras'
+        this.icon = 'cerebras.png'
+        this.category = 'Chat Models'
+        this.description = 'Models available via Cerebras'
+        this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['cerebrasAIApi'],
+            optional: true
+        }
+        this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'BaseCache',
+                optional: true
+            },
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'string',
+                placeholder: 'llama3.1-8b'
+            },
+            {
+                label: 'Temperature',
+                name: 'temperature',
+                type: 'number',
+                step: 0.1,
+                default: 0.9,
+                optional: true
+            },
+            {
+                label: 'Max Tokens',
+                name: 'maxTokens',
+                type: 'number',
+                step: 1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Top Probability',
+                name: 'topP',
+                type: 'number',
+                step: 0.1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Frequency Penalty',
+                name: 'frequencyPenalty',
+                type: 'number',
+                step: 0.1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Presence Penalty',
+                name: 'presencePenalty',
+                type: 'number',
+                step: 0.1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Timeout',
+                name: 'timeout',
+                type: 'number',
+                step: 1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'BasePath',
+                name: 'basepath',
+                type: 'string',
+                optional: true,
+                default: 'https://api.cerebras.ai/v1',
+                additionalParams: true
+            },
+            {
+                label: 'BaseOptions',
+                name: 'baseOptions',
+                type: 'json',
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const temperature = nodeData.inputs?.temperature as string
+        const modelName = nodeData.inputs?.modelName as string
+        const maxTokens = nodeData.inputs?.maxTokens as string
+        const topP = nodeData.inputs?.topP as string
+        const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
+        const presencePenalty = nodeData.inputs?.presencePenalty as string
+        const timeout = nodeData.inputs?.timeout as string
+        const streaming = nodeData.inputs?.streaming as boolean
+        const basePath = nodeData.inputs?.basepath as string
+        const baseOptions = nodeData.inputs?.baseOptions
+        const cache = nodeData.inputs?.cache as BaseCache
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const cerebrasAIApiKey = getCredentialParam('cerebrasApiKey', credentialData, nodeData)
+
+        const obj: Partial<OpenAIChatInput> & BaseLLMParams & { cerebrasAIApiKey?: string } = {
+            temperature: parseFloat(temperature),
+            modelName,
+            openAIApiKey: cerebrasAIApiKey,
+            streaming: streaming ?? true
+        }
+
+        if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
+        if (topP) obj.topP = parseFloat(topP)
+        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
+
+        if (baseOptions) {
+            try {
+                parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
+            } catch (exception) {
+                throw new Error("Invalid JSON in the ChatCerebras's BaseOptions: " + exception)
+            }
+        }
+        const model = new ChatOpenAI(obj, {
+            basePath,
+            baseOptions: parsedBaseOptions
+        })
+        return model
+    }
+}
+
+module.exports = { nodeClass: ChatCerebras_ChatModels }