chore: import upstream snapshot with attribution

apps/sim/providers/vertex/index.ts

@@ -0,0 +1,79 @@
+import { GoogleGenAI } from '@google/genai'
+import { createLogger } from '@sim/logger'
+import { OAuth2Client } from 'google-auth-library'
+import { env } from '@/lib/core/config/env'
+import type { StreamingExecution } from '@/executor/types'
+import { executeGeminiRequest } from '@/providers/gemini/core'
+import { getProviderDefaultModel, getProviderModels } from '@/providers/models'
+import type { ProviderConfig, ProviderRequest, ProviderResponse } from '@/providers/types'
+
+const logger = createLogger('VertexProvider')
+
+/**
+ * Vertex AI provider
+ *
+ * Uses the @google/genai SDK with Vertex AI backend and OAuth authentication.
+ * Shares core execution logic with Google Gemini provider.
+ *
+ * Authentication:
+ * - Uses OAuth access token passed via googleAuthOptions.authClient
+ * - Token refresh is handled at the OAuth layer before calling this provider
+ */
+export const vertexProvider: ProviderConfig = {
+  id: 'vertex',
+  name: 'Vertex AI',
+  description: "Google's Vertex AI platform for Gemini models",
+  version: '1.0.0',
+  models: getProviderModels('vertex'),
+  defaultModel: getProviderDefaultModel('vertex'),
+
+  executeRequest: async (
+    request: ProviderRequest
+  ): Promise<ProviderResponse | StreamingExecution> => {
+    const vertexProject = request.vertexProject || env.VERTEX_PROJECT
+    const vertexLocation = request.vertexLocation || env.VERTEX_LOCATION || 'us-central1'
+
+    if (!vertexProject) {
+      throw new Error(
+        'Vertex AI project is required. Please provide it via VERTEX_PROJECT environment variable or vertexProject parameter.'
+      )
+    }
+
+    if (!request.apiKey) {
+      throw new Error(
+        'Access token is required for Vertex AI. Run `gcloud auth print-access-token` to get one, or use a service account.'
+      )
+    }
+
+    // Strip 'vertex/' prefix from model name if present
+    const model = request.model.replace('vertex/', '')
+
+    logger.info('Creating Vertex AI client', {
+      project: vertexProject,
+      location: vertexLocation,
+      model,
+    })
+
+    // Create an OAuth2Client and set the access token
+    // This allows us to use an OAuth access token with the SDK
+    const authClient = new OAuth2Client()
+    authClient.setCredentials({ access_token: request.apiKey })
+
+    // Create client with Vertex AI configuration
+    const ai = new GoogleGenAI({
+      vertexai: true,
+      project: vertexProject,
+      location: vertexLocation,
+      googleAuthOptions: {
+        authClient,
+      },
+    })
+
+    return executeGeminiRequest({
+      ai,
+      model,
+      request,
+      providerType: 'vertex',
+    })
+  },
+}