Add AI Badgr provider with chat model and embeddings support

packages/components/credentials/AIBadgrApi.credential.ts

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

packages/components/nodes/chatmodels/ChatAIBadgr/ChatAIBadgr.ts

@@ -0,0 +1,176 @@
+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 ChatAIBadgr_ChatModels implements INode {
+    readonly baseURL: string = 'https://aibadgr.com/api/v1'
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    description: string
+    baseClasses: string[]
+    credential: INodeParams
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'ChatAIBadgr'
+        this.name = 'chatAIBadgr'
+        this.version = 1.0
+        this.type = 'ChatAIBadgr'
+        this.icon = 'aibadgr.svg'
+        this.category = 'Chat Models'
+        this.description = 'Wrapper around AI Badgr large language models that use the Chat endpoint'
+        this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['aiBadgrApi']
+        }
+        this.inputs = [
+            {
+                label: 'Cache',
+                name: 'cache',
+                type: 'BaseCache',
+                optional: true
+            },
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'string',
+                default: 'gpt-4o',
+                description: 'Refer to <a target="_blank" href="https://aibadgr.com/api/v1/models">models</a> page'
+            },
+            {
+                label: 'Temperature',
+                name: 'temperature',
+                type: 'number',
+                step: 0.1,
+                default: 0.7,
+                optional: true
+            },
+            {
+                label: 'Streaming',
+                name: 'streaming',
+                type: 'boolean',
+                default: true,
+                optional: true,
+                additionalParams: 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: 'Base Options',
+                name: 'baseOptions',
+                type: 'json',
+                optional: true,
+                additionalParams: true,
+                description: 'Additional options to pass to the AI Badgr client. This should be a JSON object.'
+            }
+        ]
+    }
+
+    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 streaming = nodeData.inputs?.streaming as boolean
+        const baseOptions = nodeData.inputs?.baseOptions
+
+        if (nodeData.inputs?.credentialId) {
+            nodeData.credential = nodeData.inputs?.credentialId
+        }
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const openAIApiKey = getCredentialParam('aiBadgrApiKey', credentialData, nodeData)
+
+        // Custom error handling for missing API key
+        if (!openAIApiKey || openAIApiKey.trim() === '') {
+            throw new Error(
+                'AI Badgr API Key is missing or empty. Please provide a valid AI Badgr API key in the credential configuration.'
+            )
+        }
+
+        // Custom error handling for missing model name
+        if (!modelName || modelName.trim() === '') {
+            throw new Error('Model Name is required. Please enter a valid model name (e.g., gpt-4o).')
+        }
+
+        const cache = nodeData.inputs?.cache as BaseCache
+
+        const obj: ChatOpenAIFields = {
+            modelName,
+            openAIApiKey,
+            apiKey: openAIApiKey,
+            streaming: streaming ?? true
+        }
+
+        if (temperature) obj.temperature = parseFloat(temperature)
+        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 (cache) obj.cache = cache
+
+        let parsedBaseOptions: any | undefined = undefined
+
+        if (baseOptions) {
+            try {
+                parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
+                if (parsedBaseOptions.baseURL) {
+                    console.warn("The 'baseURL' parameter is not allowed when using the ChatAIBadgr node.")
+                    parsedBaseOptions.baseURL = undefined
+                }
+            } catch (exception) {
+                throw new Error('Invalid JSON in the BaseOptions: ' + exception)
+            }
+        }
+
+        const model = new ChatOpenAI({
+            ...obj,
+            configuration: {
+                baseURL: this.baseURL,
+                ...parsedBaseOptions
+            }
+        })
+        return model
+    }
+}
+
+module.exports = { nodeClass: ChatAIBadgr_ChatModels }