✨ feat: add vertex ai route

package.json

@@ -119,6 +119,7 @@
     "@codesandbox/sandpack-react": "^2.19.9",
     "@cyntler/react-doc-viewer": "^1.17.0",
     "@electric-sql/pglite": "0.2.13",
+    "@google-cloud/vertexai": "^1.9.0",
     "@google/generative-ai": "^0.21.0",
     "@huggingface/inference": "^2.8.1",
     "@icons-pack/react-simple-icons": "9.6.0",

src/app/(backend)/webapi/chat/vertexai/route.ts

@@ -0,0 +1,38 @@
+import { readFileSync } from 'node:fs';
+import { resolve } from 'node:path';
+
+import { getLLMConfig } from '@/config/llm';
+import { AgentRuntime, ModelProvider } from '@/libs/agent-runtime';
+import { LobeVertexAI } from '@/libs/agent-runtime/vertexai';
+import { safeParseJSON } from '@/utils/safeParseJSON';
+
+import { POST as UniverseRoute } from '../[provider]/route';
+
+export const POST = async (req: Request) =>
+  UniverseRoute(req, {
+    createRuntime: () => {
+      const {
+        VERTEXAI_PROJECT,
+        VERTEXAI_LOCATION,
+        VERTEXAI_CREDENTIALS,
+        VERTEXAI_CREDENTIALS_PATH,
+      } = getLLMConfig();
+
+      const credentialsContent =
+        VERTEXAI_CREDENTIALS ??
+        (VERTEXAI_CREDENTIALS_PATH
+          ? readFileSync(resolve(process.cwd(), VERTEXAI_CREDENTIALS_PATH), 'utf8')
+          : undefined);
+
+      const googleAuthOptions = credentialsContent ? safeParseJSON(credentialsContent) : undefined;
+
+      const instance = LobeVertexAI.initFromVertexAI({
+        googleAuthOptions: googleAuthOptions,
+        location: VERTEXAI_LOCATION,
+        project: VERTEXAI_PROJECT,
+      });
+
+      return new AgentRuntime(instance);
+    },
+    params: { provider: ModelProvider.VertexAI },
+  });

src/app/(main)/settings/llm/ProviderList/providers.tsx

@@ -27,6 +27,7 @@ import {
   TogetherAIProviderCard,
   UpstageProviderCard,
   XAIProviderCard,
+  VertexAIProviderCard,
   ZeroOneProviderCard,
   ZhiPuProviderCard,
 } from '@/config/modelProviders';
@@ -61,6 +62,7 @@ export const useProviderList = (): ProviderItem[] => {
       AnthropicProviderCard,
       BedrockProvider,
       GoogleProviderCard,
+      VertexAIProviderCard,
       DeepSeekProviderCard,
       HuggingFaceProvider,
       OpenRouterProviderCard,

src/config/llm.ts

@@ -24,6 +24,13 @@ export const getLLMConfig = () => {
       ENABLED_GOOGLE: z.boolean(),
       GOOGLE_API_KEY: z.string().optional(),
 
+      ENABLED_VERTEXAI: z.boolean(),
+      VERTEXAI_CREDENTIALS: z.string().optional(),
+      VERTEXAI_CREDENTIALS_PATH: z.string().optional(),
+      VERTEXAI_PROJECT: z.string().optional(),
+      VERTEXAI_LOCATION: z.string().optional(),
+      VERTEXAI_MODEL_LIST: z.string().optional(),
+
       ENABLED_MOONSHOT: z.boolean(),
       MOONSHOT_API_KEY: z.string().optional(),
 
@@ -145,6 +152,14 @@ export const getLLMConfig = () => {
       ENABLED_GOOGLE: !!process.env.GOOGLE_API_KEY,
       GOOGLE_API_KEY: process.env.GOOGLE_API_KEY,
 
+      ENABLED_VERTEXAI:
+        !!process.env.VERTEXAI_CREDENTIALS_PATH || !!process.env.VERTEXAI_CREDENTIALS,
+      VERTEXAI_CREDENTIALS_PATH: process.env.VERTEXAI_CREDENTIALS_PATH,
+      VERTEXAI_CREDENTIALS: process.env.VERTEXAI_CREDENTIALS,
+      VERTEXAI_LOCATION: process.env.VERTEXAI_LOCATION,
+      VERTEXAI_PROJECT: process.env.VERTEXAI_PROJECT,
+      VERTEXAI_MODEL_LIST: process.env.VERTEXAI_MODEL_LIST,
+
       ENABLED_PERPLEXITY: !!process.env.PERPLEXITY_API_KEY,
       PERPLEXITY_API_KEY: process.env.PERPLEXITY_API_KEY,
 

src/config/modelProviders/index.ts

@@ -33,6 +33,7 @@ import StepfunProvider from './stepfun';
 import TaichuProvider from './taichu';
 import TogetherAIProvider from './togetherai';
 import UpstageProvider from './upstage';
+import VertexAIProvider from './vertexai';
 import WenxinProvider from './wenxin';
 import XAIProvider from './xai';
 import ZeroOneProvider from './zeroone';
@@ -69,6 +70,7 @@ export const LOBE_DEFAULT_MODEL_LIST: ChatModelCard[] = [
   GiteeAIProvider.chatModels,
   UpstageProvider.chatModels,
   SparkProvider.chatModels,
+  VertexAIProvider.chatModels,
   Ai21Provider.chatModels,
   HunyuanProvider.chatModels,
   WenxinProvider.chatModels,
@@ -115,6 +117,7 @@ export const DEFAULT_MODEL_PROVIDER_LIST = [
   SiliconCloudProvider,
   HigressProvider,
   GiteeAIProvider,
+  VertexAIProvider,
 ];
 
 export const filterEnabledModels = (provider: ModelProviderCard) => {
@@ -159,6 +162,7 @@ export { default as StepfunProviderCard } from './stepfun';
 export { default as TaichuProviderCard } from './taichu';
 export { default as TogetherAIProviderCard } from './togetherai';
 export { default as UpstageProviderCard } from './upstage';
+export { default as VertexAIProviderCard } from './vertexai';
 export { default as WenxinProviderCard } from './wenxin';
 export { default as XAIProviderCard } from './xai';
 export { default as ZeroOneProviderCard } from './zeroone';

src/config/modelProviders/vertexai.ts

@@ -0,0 +1,217 @@
+import { ModelProviderCard } from '@/types/llm';
+
+// ref: https://ai.google.dev/gemini-api/docs/models/gemini
+const VertexAI: ModelProviderCard = {
+  chatModels: [
+    {
+      description:
+        'Gemini 1.5 Flash 是Google最新的多模态AI模型，具备快速处理能力，支持文本、图像和视频输入，适用于多种任务的高效扩展。',
+      displayName: 'Gemini 1.5 Flash',
+      enabled: true,
+      functionCall: true,
+      id: 'gemini-1.5-flash-latest',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.018_75,
+        input: 0.075,
+        output: 0.3,
+      },
+      tokens: 1_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.5 Flash 002 是一款高效的多模态模型，支持广泛应用的扩展。',
+      displayName: 'Gemini 1.5 Flash 002',
+      enabled: true,
+      functionCall: true,
+      id: 'gemini-1.5-flash-002',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.018_75,
+        input: 0.075,
+        output: 0.3,
+      },
+      releasedAt: '2024-09-25',
+      tokens: 1_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.5 Flash 001 是一款高效的多模态模型，支持广泛应用的扩展。',
+      displayName: 'Gemini 1.5 Flash 001',
+      functionCall: true,
+      id: 'gemini-1.5-flash-001',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.018_75,
+        input: 0.075,
+        output: 0.3,
+      },
+      tokens: 1_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.5 Flash 0827 提供了优化后的多模态处理能力，适用多种复杂任务场景。',
+      displayName: 'Gemini 1.5 Flash 0827',
+      functionCall: true,
+      id: 'gemini-1.5-flash-exp-0827',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.018_75,
+        input: 0.075,
+        output: 0.3,
+      },
+      releasedAt: '2024-08-27',
+      tokens: 1_000_000 + 8192,
+      vision: true,
+    },
+
+    {
+      description:
+        'Gemini 1.5 Flash 8B 0924 是最新的实验性模型，在文本和多模态用例中都有显著的性能提升。',
+      displayName: 'Gemini 1.5 Flash 8B 0924',
+      functionCall: true,
+      id: 'gemini-1.5-flash-8b-exp-0924',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.018_75,
+        input: 0.075,
+        output: 0.3,
+      },
+      releasedAt: '2024-09-24',
+      tokens: 1_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description:
+        'Gemini 1.5 Pro 支持高达200万个tokens，是中型多模态模型的理想选择，适用于复杂任务的多方面支持。',
+      displayName: 'Gemini 1.5 Pro',
+      enabled: true,
+      functionCall: true,
+      id: 'gemini-1.5-pro-latest',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.875,
+        input: 3.5,
+        output: 10.5,
+      },
+      releasedAt: '2024-02-15',
+      tokens: 2_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description:
+        'Gemini 1.5 Pro 002 是最新的生产就绪模型，提供更高质量的输出，特别在数学、长上下文和视觉任务方面有显著提升。',
+      displayName: 'Gemini 1.5 Pro 002',
+      enabled: true,
+      functionCall: true,
+      id: 'gemini-1.5-pro-002',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.315,
+        input: 1.25,
+        output: 2.5,
+      },
+      releasedAt: '2024-09-24',
+      tokens: 2_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.5 Pro 001 是可扩展的多模态AI解决方案，支持广泛的复杂任务。',
+      displayName: 'Gemini 1.5 Pro 001',
+      functionCall: true,
+      id: 'gemini-1.5-pro-001',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.875,
+        input: 3.5,
+        output: 10.5,
+      },
+      releasedAt: '2024-02-15',
+      tokens: 2_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.5 Pro 0827 结合最新优化技术，带来更高效的多模态数据处理能力。',
+      displayName: 'Gemini 1.5 Pro 0827',
+      functionCall: true,
+      id: 'gemini-1.5-pro-exp-0827',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.875,
+        input: 3.5,
+        output: 10.5,
+      },
+      releasedAt: '2024-08-27',
+      tokens: 2_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.5 Pro 0801 提供出色的多模态处理能力，为应用开发带来更大灵活性。',
+      displayName: 'Gemini 1.5 Pro 0801',
+      functionCall: true,
+      id: 'gemini-1.5-pro-exp-0801',
+      maxOutput: 8192,
+      pricing: {
+        cachedInput: 0.875,
+        input: 3.5,
+        output: 10.5,
+      },
+      releasedAt: '2024-08-01',
+      tokens: 2_000_000 + 8192,
+      vision: true,
+    },
+    {
+      description: 'Gemini 1.0 Pro 是Google的高性能AI模型，专为广泛任务扩展而设计。',
+      displayName: 'Gemini 1.0 Pro',
+      id: 'gemini-1.0-pro-latest',
+      maxOutput: 2048,
+      pricing: {
+        input: 0.5,
+        output: 1.5,
+      },
+      releasedAt: '2023-12-06',
+      tokens: 30_720 + 2048,
+    },
+    {
+      description:
+        'Gemini 1.0 Pro 001 (Tuning) 提供稳定并可调优的性能，是复杂任务解决方案的理想选择。',
+      displayName: 'Gemini 1.0 Pro 001 (Tuning)',
+      functionCall: true,
+      id: 'gemini-1.0-pro-001',
+      maxOutput: 2048,
+      pricing: {
+        input: 0.5,
+        output: 1.5,
+      },
+      releasedAt: '2023-12-06',
+      tokens: 30_720 + 2048,
+    },
+    {
+      description: 'Gemini 1.0 Pro 002 (Tuning) 提供出色的多模态支持，专注于复杂任务的有效解决。',
+      displayName: 'Gemini 1.0 Pro 002 (Tuning)',
+      id: 'gemini-1.0-pro-002',
+      maxOutput: 2048,
+      pricing: {
+        input: 0.5,
+        output: 1.5,
+      },
+      releasedAt: '2023-12-06',
+      tokens: 30_720 + 2048,
+    },
+  ],
+  checkModel: 'gemini-1.5-flash-latest',
+  description:
+    'Google 的 Gemini 系列是其最先进、通用的 AI模型，由 Google DeepMind 打造，专为多模态设计，支持文本、代码、图像、音频和视频的无缝理解与处理。适用于从数据中心到移动设备的多种环境，极大提升了AI模型的效率与应用广泛性。',
+  id: 'vertexai',
+  modelsUrl: 'https://cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versioning',
+  name: 'VertexAI',
+  showApiKey: false,
+  showChecker: false,
+  smoothing: {
+    speed: 2,
+    text: true,
+  },
+  url: 'https://cloud.google.com/vertex-ai',
+};
+
+export default VertexAI;

src/libs/agent-runtime/error.ts

@@ -13,6 +13,7 @@ export const AgentRuntimeErrorType = {
   OllamaBizError: 'OllamaBizError',
 
   InvalidBedrockCredentials: 'InvalidBedrockCredentials',
+  InvalidVertexCredentials: 'InvalidVertexCredentials',
   StreamChunkError: 'StreamChunkError',
 
   InvalidGithubToken: 'InvalidGithubToken',

src/libs/agent-runtime/google/index.ts

@@ -1,9 +1,12 @@
+import type { VertexAI } from '@google-cloud/vertexai';
 import {
   Content,
   FunctionCallPart,
   FunctionDeclaration,
   Tool as GoogleFunctionCallTool,
   GoogleGenerativeAI,
+  HarmBlockThreshold,
+  HarmCategory,
   Part,
   SchemaType,
 } from '@google/generative-ai';
@@ -27,26 +30,21 @@ import { StreamingResponse } from '../utils/response';
 import { GoogleGenerativeAIStream, convertIterableToStream } from '../utils/streams';
 import { parseDataUri } from '../utils/uriParser';
 
-enum HarmCategory {
-  HARM_CATEGORY_DANGEROUS_CONTENT = 'HARM_CATEGORY_DANGEROUS_CONTENT',
-  HARM_CATEGORY_HARASSMENT = 'HARM_CATEGORY_HARASSMENT',
-  HARM_CATEGORY_HATE_SPEECH = 'HARM_CATEGORY_HATE_SPEECH',
-  HARM_CATEGORY_SEXUALLY_EXPLICIT = 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
-}
-
-enum HarmBlockThreshold {
-  BLOCK_NONE = 'BLOCK_NONE',
+interface LobeGoogleAIParams {
+  apiKey?: string;
+  baseURL?: string;
+  client?: GoogleGenerativeAI | VertexAI;
 }
 
 export class LobeGoogleAI implements LobeRuntimeAI {
   private client: GoogleGenerativeAI;
   baseURL?: string;
 
-  constructor({ apiKey, baseURL }: { apiKey?: string; baseURL?: string } = {}) {
+  constructor({ apiKey, baseURL, client }: LobeGoogleAIParams = {}) {
     if (!apiKey) throw AgentRuntimeError.createError(AgentRuntimeErrorType.InvalidProviderAPIKey);
 
-    this.client = new GoogleGenerativeAI(apiKey);
-    this.baseURL = baseURL;
+    this.client = client ? (client as GoogleGenerativeAI) : new GoogleGenerativeAI(apiKey);
+    this.baseURL = client ? undefined : baseURL;
   }
 
   async chat(rawPayload: ChatStreamPayload, options?: ChatCompetitionOptions) {