feat(core): Add xAI Grok provider support for chat hub (no-changelog) (#22084)

packages/@n8n/api-types/src/chat-hub.ts

@@ -18,6 +18,7 @@ export const chatHubLLMProviderSchema = z.enum([
 	'azureOpenAi',
 	'ollama',
 	'awsBedrock',
+	'xAiGrok',
 	'groq',
 	'openRouter',
 	'deepSeek',
@@ -47,6 +48,7 @@ export const PROVIDER_CREDENTIAL_TYPE_MAP: Record<
 	ollama: 'ollamaApi',
 	azureOpenAi: 'azureOpenAiApi',
 	awsBedrock: 'aws',
+	xAiGrok: 'xAiApi',
 	groq: 'groqApi',
 	openRouter: 'openRouterApi',
 	deepSeek: 'deepSeekApi',
@@ -89,6 +91,11 @@ const awsBedrockModelSchema = z.object({
 	model: z.string(),
 });
 
+const xAiGrokModelSchema = z.object({
+	provider: z.literal('xAiGrok'),
+	model: z.string(),
+});
+
 const groqModelSchema = z.object({
 	provider: z.literal('groq'),
 	model: z.string(),
@@ -131,6 +138,7 @@ export const chatHubConversationModelSchema = z.discriminatedUnion('provider', [
 	azureOpenAIModelSchema,
 	ollamaModelSchema,
 	awsBedrockModelSchema,
+	xAiGrokModelSchema,
 	groqModelSchema,
 	openRouterModelSchema,
 	deepSeekModelSchema,
@@ -146,6 +154,7 @@ export type ChatHubGoogleModel = z.infer<typeof googleModelSchema>;
 export type ChatHubAzureOpenAIModel = z.infer<typeof azureOpenAIModelSchema>;
 export type ChatHubOllamaModel = z.infer<typeof ollamaModelSchema>;
 export type ChatHubAwsBedrockModel = z.infer<typeof awsBedrockModelSchema>;
+export type ChatHubXAiGrokModel = z.infer<typeof xAiGrokModelSchema>;
 export type ChatHubGroqModel = z.infer<typeof groqModelSchema>;
 export type ChatHubOpenRouterModel = z.infer<typeof openRouterModelSchema>;
 export type ChatHubDeepSeekModel = z.infer<typeof deepSeekModelSchema>;
@@ -158,6 +167,7 @@ export type ChatHubBaseLLMModel =
 	| ChatHubAzureOpenAIModel
 	| ChatHubOllamaModel
 	| ChatHubAwsBedrockModel
+	| ChatHubXAiGrokModel
 	| ChatHubGroqModel
 	| ChatHubOpenRouterModel
 	| ChatHubDeepSeekModel
@@ -205,6 +215,7 @@ export const emptyChatModelsResponse: ChatModelsResponse = {
 	azureOpenAi: { models: [] },
 	ollama: { models: [] },
 	awsBedrock: { models: [] },
+	xAiGrok: { models: [] },
 	groq: { models: [] },
 	openRouter: { models: [] },
 	deepSeek: { models: [] },

packages/cli/src/modules/chat-hub/chat-hub-workflow.service.ts

@@ -512,6 +512,15 @@ export class ChatHubWorkflowService {
 					},
 				};
 			}
+			case 'xAiGrok': {
+				return {
+					...common,
+					parameters: {
+						model,
+						options: {},
+					},
+				};
+			}
 			case 'groq': {
 				return {
 					...common,

packages/cli/src/modules/chat-hub/chat-hub.constants.ts

@@ -36,6 +36,10 @@ export const PROVIDER_NODE_TYPE_MAP: Record<ChatHubLLMProvider, INodeTypeNameVer
 		name: '@n8n/n8n-nodes-langchain.lmChatAwsBedrock',
 		version: 1.1,
 	},
+	xAiGrok: {
+		name: '@n8n/n8n-nodes-langchain.lmChatXAiGrok',
+		version: 1,
+	},
 	groq: {
 		name: '@n8n/n8n-nodes-langchain.lmChatGroq',
 		version: 1,

packages/cli/src/modules/chat-hub/chat-hub.service.ts

@@ -166,6 +166,8 @@ export class ChatHubService {
 				return await this.fetchAzureOpenAiModels(credentials, additionalData);
 			case 'awsBedrock':
 				return await this.fetchAwsBedrockModels(credentials, additionalData);
+			case 'xAiGrok':
+				return await this.fetchXAiGrokModels(credentials, additionalData);
 			case 'groq':
 				return await this.fetchGroqModels(credentials, additionalData);
 			case 'openRouter':
@@ -769,6 +771,62 @@ export class ChatHubService {
 		};
 	}
 
+	private async fetchXAiGrokModels(
+		credentials: INodeCredentials,
+		additionalData: IWorkflowExecuteAdditionalData,
+	): Promise<ChatModelsResponse['xAiGrok']> {
+		const results = await this.nodeParametersService.getOptionsViaLoadOptions(
+			{
+				routing: {
+					request: {
+						method: 'GET',
+						url: '/models',
+					},
+					output: {
+						postReceive: [
+							{
+								type: 'rootProperty',
+								properties: {
+									property: 'data',
+								},
+							},
+							{
+								type: 'setKeyValue',
+								properties: {
+									name: '={{$responseItem.id}}',
+									value: '={{$responseItem.id}}',
+								},
+							},
+							{
+								type: 'sort',
+								properties: {
+									key: 'name',
+								},
+							},
+						],
+					},
+				},
+			},
+			additionalData,
+			PROVIDER_NODE_TYPE_MAP.xAiGrok,
+			{},
+			credentials,
+		);
+
+		return {
+			models: results.map((result) => ({
+				name: result.name,
+				description: result.description ?? null,
+				model: {
+					provider: 'xAiGrok',
+					model: String(result.value),
+				},
+				createdAt: null,
+				updatedAt: null,
+			})),
+		};
+	}
+
 	private async fetchAgentWorkflowsAsModels(user: User): Promise<ChatModelsResponse['n8n']> {
 		const nodeTypes = [CHAT_TRIGGER_NODE_TYPE];
 		const workflows = await this.workflowService.getWorkflowsWithNodesIncluded(

packages/cli/src/modules/chat-hub/context-limits.ts

@@ -140,6 +140,7 @@ export const maxContextWindowTokens: Record<ChatHubLLMProvider, Record<string, n
 	azureOpenAi: {},
 	ollama: {},
 	awsBedrock: {},
+	xAiGrok: {},
 	groq: {},
 	openRouter: {},
 	deepSeek: {},

packages/frontend/editor-ui/src/features/ai/chatHub/constants.ts

@@ -15,6 +15,7 @@ export const providerDisplayNames: Record<ChatHubProvider, string> = {
 	azureOpenAi: 'Azure OpenAI',
 	ollama: 'Ollama',
 	awsBedrock: 'AWS Bedrock',
+	xAiGrok: 'xAI Grok',
 	groq: 'Groq',
 	openRouter: 'OpenRouter',
 	deepSeek: 'DeepSeek',