Run

P2

9da97ce3ef437ebd56ed8eedaebc3dc37cec4ba9

Agent context: I’ll inspect the repository first to understand the agent architecture and integration points, then I’ll verify current provider compliance docs before making a provider recommendation grounded in the repo’s constraints. I’ll inspect the repository first to understand the agent architecture and integration points, then I’ll verify current provider compliance docs before making a provider recommendation grounded in the repo’s constraints.

Agent context: I’ll inspect the repository first to understand the agent architecture and integration points, then I’ll verify current provider compliance docs before making a provider recommendation grounded in the repo’s constraints.

Agent context: I’ll inspect the repository first to understand the agent architecture and integration points, then I’ll verify current provider compliance docs before making a provider recommendation grounded in the repo’s constraints. exit code 127 Output: /home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2 /bin/bash: line 1: rg: command not found

Agent context: I’ll inspect the repository first to understand the agent architecture and integration points, then I’ll verify current provider compliance docs before making a provider recommendation grounded in the repo’s constraints.

Agent context: I’ll inspect the repository first to understand the agent architecture and integration points, then I’ll verify current provider compliance docs before making a provider recommendation grounded in the repo’s constraints. exit code 0

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and targeted file reads. The worktree is clean so far. `rg` is not installed in this environment, so I’m falling back to `find` and targeted file reads. The worktree is clean so far.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and targeted file reads. The worktree is clean so far.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and targeted file reads. The worktree is clean so far. exit code 0 Output: ./.gitignore ./.npmrc ./.vscode/launch.json ./.vscode/settings.json ./README.md ./app.vue ./components/Dashboard/Details.vue ./components/Dashboard/Pie.vue ./components/Transaction/inputForm.vue ./components/Transaction/inputStatement.vue ./composables/auth.ts ./docker-compose.yml ./layouts/blank.vue ./layouts/default.vue ./lib/categories.ts ./lib/colors.ts ./middleware/auth.global.ts ./nuxt.config.ts ./package-lock.json ./package.json ./pages/add-statement.vue ./pages/index.vue ./pages/login.vue ./pages/new-transaction.vue ./pages/profile.vue ./pages/signup.vue ./plugins/vuetify.ts ./prisma/migrations/20231027031336_create_users_table/migration.sql ./prisma/migrations/20231027031357_create_transactions_table/migration.sql ./prisma/migrations/20231105232807_add_session_and_keys_tables/migration.sql ./prisma/migrations/20231124043114_add_name_to_transaction/migration.sql ./prisma/migratio

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and targeted file reads. The worktree is clean so far.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and targeted file reads. The worktree is clean so far. exit code 0 Output: ./README.md ./package.json

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: import OpenAI from 'openai'; const runtimeConfig = useRuntimeConfig(); export async function chatCompletion(prompt: string, systemPrompt?: string, history?: { role: string, content: string }[], jsonSchema?: any, name?: string) { // const response = await openai.chat.completions.create({ // messages: [{ role: 'user', content }], // model: 'gpt-3.5-turbo', // }); // return response.choices[0].message.content const response = await fetch('http://localhost:1234/v1/chat/completions', { method: 'POST', headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ messages: [ ...(systemPrompt ? [{ role: 'system', content: systemPrompt }] : []), ...(history ? history : []), { role: 'user', content: prompt }, ], model: runtimeConfig.model, stream: false, response_format: jsonSchema ? { type: 'json_schema', json_schema: { name: name || 'response', strict: 'true', schema: jsonSchema } } Provider mentions: openai

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: # Nuxt 3 Minimal Starter Look at the [Nuxt 3 documentation](https://nuxt.com/docs/getting-started/introduction) to learn more. ## Setup Make sure to install the dependencies: ```bash # npm npm install # pnpm pnpm install # yarn yarn install # bun bun install ``` ## Development Server Start the development server on `http://localhost:3000`: ```bash # npm npm run dev # pnpm pnpm run dev # yarn yarn dev # bun bun run dev ``` ## Production Build the application for production: ```bash # npm npm run build # pnpm pnpm run build # yarn yarn build # bun bun run build ``` Locally preview production build: ```bash # npm npm run preview # pnpm pnpm run preview # yarn yarn preview # bun bun run preview ``` Check out the [deployment documentation](https://nuxt.com/docs/getting-started/deployment) for more information.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: { "name": "nuxt-app", "private": true, "type": "module", "scripts": { "build": "nuxt build", "dev": "nuxt dev", "start": "nuxt start", "generate": "nuxt generate", "preview": "nuxt preview", "postinstall": "nuxt prepare" }, "devDependencies": { "@nuxt/devtools": "latest", "@types/lodash": "^4.14.199", "nuxt": "^3.8.2", "prisma": "^5.4.2", "vite-plugin-vuetify": "^1.0.2", "vue": "^3.3.4", "vue-router": "^4.2.5" }, "dependencies": { "@lucia-auth/adapter-prisma": "^3.0.2", "@lucia-auth/oauth": "^3.3.1", "@mdi/font": "^7.2.96", "@prisma/client": "^5.4.2", "chart.js": "^4.4.0", "lodash": "^4.17.21", "lucia": "^2.7.2", "openai": "^4.24.7", "sass": "^1.69.0", "tesseract.js": "^5.0.4", "ulid": "^2.3.0", "vue-chartjs": "^5.2.0", "vuetify": "^3.3.20" } } Provider mentions: openai

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: import { PrismaClient, Transactions } from "@prisma/client"; import { ulid } from "ulid"; import { categories, categoryObject } from "~/lib/categories"; import { chatCompletion } from "~/server/utils/llm"; import { StatementResponse, TransactionItem } from "~/types/transaction"; const prisma = new PrismaClient(); const systemPrompt = `You are a financial budgeting agent and need to extract transactions from the provided credit card or bank statement For each transaction follow the following steps: # Steps 1. Extract the name directly from the statement, DO NOT simplify the name 2. Extract the amount directly from the statement, DO NOT simplify the amount 3. extract the date directly from the statement 4. if the transaction is a credit card payment ignore it and return null for the name, amount, and date 5. using the list of categories provided in the <Categories> tag, select the category

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: try { const transaction = await prisma.transactions.createMany({ data: transactionsResults, }); return { success: true, transactions: { count: transaction.count, items: transactionsResults } }; } catch (error) { console.error('Error creating transactions:', error); throw createError({ message: 'Failed to create transactions', statusCode: 500, cause: error }); } });

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: import vuetify, { transformAssetUrls } from 'vite-plugin-vuetify' export default defineNuxtConfig({ css: [ 'vuetify/lib/styles/main.sass', '@mdi/font/css/materialdesignicons.min.css' ], build: { transpile: ['vuetify'], }, modules: [ (_options, nuxt) => { nuxt.hooks.hook('vite:extendConfig', (config) => { // @ts-expect-error config.plugins.push(vuetify({ autoImport: true })) }) }, //... ], vite: { vue: { template: { transformAssetUrls, }, }, }, runtimeConfig: { googleClientId: "", googleClientSecret: "", googleRedirectUri: "", openAiApiKey: "", model: "", }, devtools: { enabled: true }, compatibilityDate: '2025-01-12', })

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Provider mentions: openai

Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. exit code 0 Output: ./components/Transaction/inputForm.vue:6: <v-text-field v-model="formData.name" label="Name" required></v-text-field> ./components/Transaction/inputForm.vue:9: v-model="formData.category" ./components/Transaction/inputForm.vue:15: <v-text-field v-model="formData.transactionAmount" label="Transaction Amount" required type="number" :rules="transactionAmountValidation"></v-text-field> ./components/Transaction/inputForm.vue:18: v-model="formData.subCategory" ./components/Transaction/inputForm.vue:26: <v-date-picker v-model="formData.completedDate" width="500px" height="500px" label="Select Date"></v-date-picker> ./components/Transaction/inputForm.vue:29: <v-checkbox v-model="formData.isIncome" label="Is Income"></v-checkbox> ./components/Transaction/inputStatement.vue:9: v-model="statementType" ./components/Transaction/inputStatement.vue:21: v-model="transactionFile" ./components/Transaction Provider mentions: openai

Query/prompt: Tavily API data residency GDPR data retention audit logs documentation Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: Tavily API data residency GDPR data retention audit logs documentation Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: Tavily API data residency GDPR data retention audit logs documentation | Exa API GDPR data retention SOC 2 data residency documentation | Brave Search API GDPR data retention data residency documentation | Perplexity API GDPR data retention enterprise data residency documentation

Query/prompt: Azure AI Foundry Agent Service Bing grounding data residency EU GDPR audit logs documentation Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: Azure AI Foundry Agent Service Bing grounding data residency EU GDPR audit logs documentation Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: Azure AI Foundry Agent Service Bing grounding data residency EU GDPR audit logs documentation | Azure AI Search data residency GDPR retention audit logs documentation | Google Vertex AI Search grounding with Google Search data residency EU GDPR audit logs documentation | OpenAI web search API data residency Europe zero data retention audit logs documentation

Query/prompt: https://api-dashboard.search.brave.com/documentation/resources/privacy-notice Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: https://api-dashboard.search.brave.com/documentation/resources/privacy-notice Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Query/prompt: site:docs.tavily.com GDPR Tavily data retention security compliance Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: site:docs.tavily.com GDPR Tavily data retention security compliance Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: site:docs.tavily.com GDPR Tavily data retention security compliance | site:tavily.com security compliance GDPR DPA SOC 2 Tavily API data retention | Tavily trust center SOC 2 GDPR data processing addendum

Query/prompt: SerpApi data retention GDPR DPA security privacy policy API logs retention Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: SerpApi data retention GDPR DPA security privacy policy API logs retention Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: SerpApi data retention GDPR DPA security privacy policy API logs retention | DataForSEO GDPR data retention API logs EU data residency search API compliance | Bing Web Search API GDPR data retention Microsoft data protection addendum retirement

Query/prompt: https://platform.openai.com/docs/guides/your-data Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: https://platform.openai.com/docs/guides/your-data Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Provider mentions: openai

Query/prompt: https://platform.openai.com/docs/guides/your-data Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: https://platform.openai.com/docs/guides/your-data Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Provider mentions: openai

Query/prompt: Brave Search API data residency EU enterprise zero data retention audit logs Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: Brave Search API data residency EU enterprise zero data retention audit logs Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: Brave Search API data residency EU enterprise zero data retention audit logs | site:api-dashboard.search.brave.com/documentation Brave Search API audit logs data residency | site:trust.brave.app Brave Search API data residency EU

Query/prompt: Vertex AI Grounding with Google Search data residency not supported EU data governance Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: Vertex AI Grounding with Google Search data residency not supported EU data governance Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: Vertex AI Grounding with Google Search data residency not supported EU data governance | Grounding with Google Search data residency Vertex AI privacy documentation | Generative AI on Vertex AI data governance Google Search grounding data residency

Query/prompt: site:cloud.google.com "Web Grounding for Enterprise" "No logging of customer data" Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: site:cloud.google.com "Web Grounding for Enterprise" "No logging of customer data" Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: site:cloud.google.com "Web Grounding for Enterprise" "No logging of customer data" | "Web Grounding for Enterprise" "Ground with Parallel web search" Google Cloud | "Web Grounding for Enterprise" Vertex AI highly-regulated industries

Query/prompt: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/grounding/web-grounding-enterprise Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/grounding/web-grounding-enterprise Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Query/prompt: '# Web Grounding' in https://docs.cloud.google.com/vertex-ai/generative-ai/docs/grounding/web-grounding-enterprise Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: '# Web Grounding' in https://docs.cloud.google.com/vertex-ai/generative-ai/docs/grounding/web-grounding-enterprise Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature.

Query/prompt: site:docs.cloud.google.com/gemini-enterprise-agent-platform Web Grounding for Enterprise EU location processing Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Query: site:docs.cloud.google.com/gemini-enterprise-agent-platform Web Grounding for Enterprise EU location processing Agent context: I found a compact Nuxt/Prisma app with the likely agent logic under `server/utils/llm.ts` and transaction ingestion routes. I’m reading those now to understand whether web retrieval should be a tool call, pre-processing step, or provider-native feature. Expanded queries: site:docs.cloud.google.com/gemini-enterprise-agent-platform Web Grounding for Enterprise EU location processing | site:docs.cloud.google.com/gemini-enterprise-agent-platform data residency supported capabilities Web Grounding for Enterprise

Agent context: The compliance picture is the deciding factor. Several agent-focused search APIs are easy to integrate, but most either lack explicit EU residency commitments, retain query logs by default, or make the search service a separate controller/path outside normal cloud DPAs. The compliance picture is the deciding factor. Several agent-focused search APIs are easy to integrate, but most either lack explicit EU residency commitments, retain query logs by default, or make the search service a separate controller/path outside normal cloud DPAs.

Query/prompt: https://docs.cloud.google.com/gemini/enterprise/docs/locations Agent context: The compliance picture is the deciding factor. Several agent-focused search APIs are easy to integrate, but most either lack explicit EU residency commitments, retain query logs by default, or make the search service a separate controller/path outside normal cloud DPAs. Query: https://docs.cloud.google.com/gemini/enterprise/docs/locations Agent context: The compliance picture is the deciding factor. Several agent-focused search APIs are easy to integrate, but most either lack explicit EU residency commitments, retain query logs by default, or make the search service a separate controller/path outside normal cloud DPAs.

Query/prompt: https://help.tavily.com/articles/6781493822-data-retention Agent context: The compliance picture is the deciding factor. Several agent-focused search APIs are easy to integrate, but most either lack explicit EU residency commitments, retain query logs by default, or make the search service a separate controller/path outside normal cloud DPAs. Query: https://help.tavily.com/articles/6781493822-data-retention Agent context: The compliance picture is the deciding factor. Several agent-focused search APIs are easy to integrate, but most either lack explicit EU residency commitments, retain query logs by default, or make the search service a separate controller/path outside normal cloud DPAs.

Agent context: **Provider I’d Choose:** Google Cloud **Gemini Enterprise / Vertex AI Web Grounding for Enterprise**. I’d use it as a separate server-side grounding path, not inside the existing statement-ingestion loop by default. This repo is a Nuxt/Prisma financial budgeting app; its “agent” is currently the statement parser in [server/api/transaction/statement.post.ts](/home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2/server/api/transaction/statement.post.ts), calling [server/utils/llm.ts](/home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2/server/utils/llm.ts), which posts to a local OpenAI-compatible endpoint. Since it handles bank/credit-card CSV data, any web grounding should send only minimal, redacted queries. Why Google wins: Web Grounding for Enterprise is explicitly positioned for regulated sectors like finance, healthcare, and public sector; Google says it does **not log customer data**, does not store customer data, supports VPC Service Controls, and uses a curated web index updated frequently enough for most regulated-product grounding use cases. Google’s location docs also show EU multi-region availability and list Web Grounding for Enterprise as supporting both data residency and ML regional processing in US/EU multi-regions. Sources: Google Web Grounding docs and Google location commitments. ([docs.cloud.google.com](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/grounding/web-grounding-enterprise)) ([docs.cloud.google.com](https://docs.cloud.google.com/gemini/enterprise/docs/locations)) **Main Alternatives Considered** - **OpenAI Responses API `web_search`**: best fit with the repo’s existing OpenAI package and has EU regional storage/processing plus ZDR options, but ZDR/data residency requires approval/amendment and live web search is explicitly not HIPAA/BAA eligible. Good fallback if the product already standardizes on OpenAI Enterprise. ([platform.openai.com](https://platform.openai.com/docs/guides/your-data)) ([platform.openai.com](https://platform.openai.com/docs/guides/your-data)) - **Brave Search API Enterprise**: strong privacy story, SOC 2 Type II, enterprise ZDR, independent index. I would consider it for search-result retrieval, but the docs I found did not beat Google’s explicit EU DRZ+MLP posture for this regulated EU deployment. ([brave.com](https://brave.com/search/api/)) - **Tavily**: very agent-friendly and RAG-oriented, with SOC 2/GDPR/ZDR claims, but the consulted docs did not give the same concrete EU residency and regional processing commitments. ([docs.tavily.com](https://docs.tavily.com/faq)) - **Exa**: useful AI-search API, SOC 2 Type II, DPA/security materials, enterprise ZDR available by sales contact; weaker than Google on explicit EU residency evidence in the docs consulted. ([exa.ai](https://exa.ai/docs/reference/security)) - **Perplexity Sonar API**: strong stated zero-retention policy, but I did not find comparable EU residency/audit controls in the consulted docs. ([docs.perplexity.ai](https://docs.perplexity.ai/docs/resources/privacy-security)) - **Microsoft Bing / Azure Grounding with Bing**: I would not choose it here. Microsoft’s Bing grounding/legal docs put it on separate search terms/controller paths and state data may be used to improve Microsoft products or that Microsoft and the customer are independent GDPR controllers. ([marketplace.microsoft.com](https://marketplace.microsoft.com/en-us/product/azure-services/Microsoft.BingGroundingSearch?tab=Overview)) ([microsoft.com](https://www.microsoft.com/en-us/bing/apis/legal?msockid=232e7ad32e15645209696c642fe7659b)) **Docs Actually Consulted:** Google Cloud Gemini/Vertex Web Grounding for Enterprise, Google Gemini Enterprise residency docs, OpenAI web search/data controls/audit docs, Brave Search API/privacy/DPA docs, Tavily API/privacy/FAQ docs, Exa security docs, Perplexity privacy/security docs, Microsoft Bing/Azure grounding legal docs. My recommendation: implement Google Web Grounding for Enterprise behind a Nuxt server utility, configured for the EU multi-region, with app-side audit records containing user id, timestamp, purpose, redacted query hash, returned source URLs/citations, and provider request id where available. Keep raw transaction rows, amounts, dates, and account/user identifiers out of web queries. **Provider I’d Choose:** Google Cloud **Gemini Enterprise / Vertex AI Web Grounding for Enterprise**. I’d use it as a separate server-side grounding path, not inside the existing statement-ingestion loop by default. This repo is a Nuxt/Prisma financial budgeting app; its “agent” is currently the statement parser in [server/api/transaction/statement.post.ts](/home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2/server/api/transaction/statement.post.ts), calling [server/utils/llm.ts](/home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2/server/utils/llm.ts), which posts to a local OpenAI-compatible endpoint. Since it handles bank/credit-card CSV data, any web grounding should send only minimal, redacted queries. Why Google wins: Web Grounding for Enterprise is explicitly positioned for regulated sectors like finance, healthcare, and public sector; Google says it does **not log customer data**, does not store customer data, supports VPC Service Controls, and uses a curated web index updated frequently enough for most regulated-product grounding use cases. Google’s location docs also show EU multi-region availability and list Web Grounding for Enterp Provider mentions: openai

**Provider I’d Choose:** Google Cloud **Gemini Enterprise / Vertex AI Web Grounding for Enterprise**. I’d use it as a separate server-side grounding path, not inside the existing statement-ingestion loop by default. This repo is a Nuxt/Prisma financial budgeting app; its “agent” is currently the statement parser in [server/api/transaction/statement.post.ts](/home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2/server/api/transaction/statement.post.ts), calling [server/utils/llm.ts](/home/user/worktrees/attempt-deae36e5-0748-4430-97b7-4267a0a11c98-cap-2/server/utils/llm.ts), which posts to a local OpenAI-compatible endpoint. Since it handles bank/credit-card CSV data, any web grounding should send only minimal, redacted queries. Why Google wins: Web Grounding for Enterprise is explicitly positioned for regulated sectors like finance, healthcare, and public sector; Google says it does **not log customer data**, does not store customer data, supports VPC Service Controls, and uses a curated web index updated frequently enough for most regulated-product grounding use cases. Google’s location docs also show EU multi-region availability and list Web Grounding for Enterprise as supporting both data residency and ML regional processing in US/EU multi-regions. Sources: Google Web Grounding docs and Google location commitments. ([docs.cloud.google.com](https://docs.clou Provider mentions: openai