chore: import upstream snapshot with attribution

apps/sim/providers/google/index.ts

@@ -0,0 +1,42 @@
+import { GoogleGenAI } from '@google/genai'
+import { createLogger } from '@sim/logger'
+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('GoogleProvider')
+
+/**
+ * Google Gemini provider
+ *
+ * Uses the @google/genai SDK with API key authentication.
+ * Shares core execution logic with Vertex AI provider.
+ */
+export const googleProvider: ProviderConfig = {
+  id: 'google',
+  name: 'Google',
+  description: "Google's Gemini models",
+  version: '1.0.0',
+  models: getProviderModels('google'),
+  defaultModel: getProviderDefaultModel('google'),
+
+  executeRequest: async (
+    request: ProviderRequest
+  ): Promise<ProviderResponse | StreamingExecution> => {
+    if (!request.apiKey) {
+      throw new Error('API key is required for Google Gemini')
+    }
+
+    logger.info('Creating Google Gemini client', { model: request.model })
+
+    const ai = new GoogleGenAI({ apiKey: request.apiKey })
+
+    return executeGeminiRequest({
+      ai,
+      model: request.model,
+      request,
+      providerType: 'google',
+    })
+  },
+}