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@@ -0,0 +1,154 @@
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import { AzureChatOpenAI } from '@langchain/openai';
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import { getProxyAgent, makeN8nLlmFailedAttemptHandler, N8nLlmTracing } from '@n8n/ai-utilities';
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import {
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NodeOperationError,
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NodeConnectionTypes,
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type INodeType,
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type INodeTypeDescription,
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type ISupplyDataFunctions,
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type SupplyData,
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} from 'n8n-workflow';
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import { setupApiKeyAuthentication } from './credentials/api-key';
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import { setupOAuth2Authentication } from './credentials/oauth2';
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import { properties } from './properties';
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import { AuthenticationType } from './types';
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import type {
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AzureOpenAIApiKeyModelConfig,
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AzureOpenAIOAuth2ModelConfig,
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AzureOpenAIOptions,
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} from './types';
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export class LmChatAzureOpenAi implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Azure OpenAI Chat Model',
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name: 'lmChatAzureOpenAi',
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icon: 'file:azure.svg',
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group: ['transform'],
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version: 1,
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description: 'For advanced usage with an AI chain',
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defaults: {
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name: 'Azure OpenAI Chat Model',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Language Models', 'Root Nodes'],
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'Language Models': ['Chat Models (Recommended)'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatazureopenai/',
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},
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],
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},
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},
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inputs: [],
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outputs: [NodeConnectionTypes.AiLanguageModel],
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outputNames: ['Model'],
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credentials: [
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{
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name: 'azureOpenAiApi',
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required: true,
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displayOptions: {
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show: {
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authentication: [AuthenticationType.ApiKey],
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},
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},
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},
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{
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name: 'azureEntraCognitiveServicesOAuth2Api',
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required: true,
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displayOptions: {
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show: {
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authentication: [AuthenticationType.EntraOAuth2],
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},
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},
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},
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],
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properties,
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};
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async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
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try {
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const authenticationMethod = this.getNodeParameter(
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'authentication',
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itemIndex,
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) as AuthenticationType;
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const modelName = this.getNodeParameter('model', itemIndex) as string;
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const options = this.getNodeParameter('options', itemIndex, {}) as AzureOpenAIOptions;
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// Set up Authentication based on selection and get configuration
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let modelConfig: AzureOpenAIApiKeyModelConfig | AzureOpenAIOAuth2ModelConfig;
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switch (authenticationMethod) {
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case AuthenticationType.ApiKey:
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modelConfig = await setupApiKeyAuthentication.call(this, 'azureOpenAiApi');
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break;
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case AuthenticationType.EntraOAuth2:
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modelConfig = await setupOAuth2Authentication.call(
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this,
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'azureEntraCognitiveServicesOAuth2Api',
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);
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break;
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default:
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throw new NodeOperationError(this.getNode(), 'Invalid authentication method');
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}
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this.logger.info(`Instantiating AzureChatOpenAI model with deployment: ${modelName}`);
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const timeout = options.timeout;
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const model = new AzureChatOpenAI({
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// Force completions API — Azure's SDK doesn't rewrite the /responses path,
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// so the Responses API hits an invalid endpoint and causes a connection error.
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// See: https://github.com/langchain-ai/langchainjs/issues/9038
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useResponsesApi: false,
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// Model name is required so logs are correct
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// Also ensures internal logic (like mapping "maxTokens" to "maxCompletionTokens") is correct
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model: modelName,
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azureOpenAIApiDeploymentName: modelName,
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...modelConfig,
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...options,
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timeout,
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maxRetries: options.maxRetries ?? 2,
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callbacks: [new N8nLlmTracing(this)],
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configuration: {
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fetchOptions: {
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dispatcher: getProxyAgent(undefined, {
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headersTimeout: timeout,
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bodyTimeout: timeout,
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}),
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},
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},
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modelKwargs: options.responseFormat
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? {
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response_format: { type: options.responseFormat },
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}
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: undefined,
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onFailedAttempt: makeN8nLlmFailedAttemptHandler(this),
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});
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this.logger.info(`Azure OpenAI client initialized for deployment: ${modelName}`);
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return {
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response: model,
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};
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} catch (error) {
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this.logger.error(`Error in LmChatAzureOpenAi.supplyData: ${error.message}`, error);
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// Re-throw NodeOperationError directly, wrap others
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if (error instanceof NodeOperationError) {
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throw error;
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}
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throw new NodeOperationError(
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this.getNode(),
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`Failed to initialize Azure OpenAI client: ${error.message}`,
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error,
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);
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}
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}
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}
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