feat(core): Add DeepSeek models to chat hub (no-changelog)

Author: Cadiac

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

@@ -18,6 +18,7 @@ export const chatHubLLMProviderSchema = z.enum([
 	'azureOpenAi',
 	'ollama',
 	'awsBedrock',
+	'deepSeek',
 ]);
 export type ChatHubLLMProvider = z.infer<typeof chatHubLLMProviderSchema>;
 
@@ -42,6 +43,7 @@ export const PROVIDER_CREDENTIAL_TYPE_MAP: Record<
 	ollama: 'ollamaApi',
 	azureOpenAi: 'azureOpenAiApi',
 	awsBedrock: 'aws',
+	deepSeek: 'deepSeekApi',
 };
 
 export type ChatHubAgentTool = typeof JINA_AI_TOOL_NODE_TYPE | typeof SEAR_XNG_TOOL_NODE_TYPE;
@@ -79,6 +81,11 @@ const awsBedrockModelSchema = z.object({
 	model: z.string(),
 });
 
+const deepSeekModelSchema = z.object({
+	provider: z.literal('deepSeek'),
+	model: z.string(),
+});
+
 const n8nModelSchema = z.object({
 	provider: z.literal('n8n'),
 	workflowId: z.string(),
@@ -96,6 +103,7 @@ export const chatHubConversationModelSchema = z.discriminatedUnion('provider', [
 	azureOpenAIModelSchema,
 	ollamaModelSchema,
 	awsBedrockModelSchema,
+	deepSeekModelSchema,
 	n8nModelSchema,
 	chatAgentSchema,
 ]);
@@ -106,13 +114,15 @@ 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 ChatHubDeepSeekModel = z.infer<typeof deepSeekModelSchema>;
 export type ChatHubBaseLLMModel =
 	| ChatHubOpenAIModel
 	| ChatHubAnthropicModel
 	| ChatHubGoogleModel
 	| ChatHubAzureOpenAIModel
 	| ChatHubOllamaModel
-	| ChatHubAwsBedrockModel;
+	| ChatHubAwsBedrockModel
+	| ChatHubDeepSeekModel;
 
 export type ChatHubN8nModel = z.infer<typeof n8nModelSchema>;
 export type ChatHubCustomAgentModel = z.infer<typeof chatAgentSchema>;
@@ -154,6 +164,7 @@ export const emptyChatModelsResponse: ChatModelsResponse = {
 	azureOpenAi: { models: [] },
 	ollama: { models: [] },
 	awsBedrock: { models: [] },
+	deepSeek: { models: [] },
 	n8n: { models: [] },
 	// eslint-disable-next-line @typescript-eslint/naming-convention
 	'custom-agent': { models: [] },

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

@@ -474,6 +474,15 @@ export class ChatHubWorkflowService {
 					},
 				};
 			}
+			case 'deepSeek': {
+				return {
+					...common,
+					parameters: {
+						model,
+						options: {},
+					},
+				};
+			}
 			default:
 				throw new OperationalError('Unsupported model provider');
 		}

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,
 	},
+	deepSeek: {
+		name: '@n8n/n8n-nodes-langchain.lmChatDeepSeek',
+		version: 1,
+	},
 };
 
 export const NODE_NAMES = {

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

@@ -161,6 +161,8 @@ export class ChatHubService {
 				return await this.fetchAzureOpenAiModels(credentials, additionalData);
 			case 'awsBedrock':
 				return await this.fetchAwsBedrockModels(credentials, additionalData);
+			case 'deepSeek':
+				return await this.fetchDeepSeekModels(credentials, additionalData);
 			case 'n8n':
 				return await this.fetchAgentWorkflowsAsModels(user);
 			case 'custom-agent':
@@ -462,6 +464,62 @@ export class ChatHubService {
 		};
 	}
 
+	private async fetchDeepSeekModels(
+		credentials: INodeCredentials,
+		additionalData: IWorkflowExecuteAdditionalData,
+	): Promise<ChatModelsResponse['deepSeek']> {
+		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.deepSeek,
+			{},
+			credentials,
+		);
+
+		return {
+			models: results.map((result) => ({
+				name: result.name,
+				description: result.description ?? String(result.value),
+				model: {
+					provider: 'deepSeek',
+					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: {},
+	deepSeek: {},
 };
 
 export const getMaxContextWindowTokens = (

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

@@ -14,6 +14,7 @@ export const providerDisplayNames: Record<ChatHubProvider, string> = {
 	azureOpenAi: 'Azure OpenAI',
 	ollama: 'Ollama',
 	awsBedrock: 'AWS Bedrock',
+	deepSeek: 'DeepSeek',
 	n8n: 'n8n',
 	'custom-agent': 'Custom Agent',
 };