Run

P2

5cb360e502f88fe2c18b163c54d26e7b13ec6bc1

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: EISDIR: illegal operation on a directory, read '/home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0' Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/README.md /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/requirements.txt /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/frontend/README.md /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/frontend/package.json Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 # AyuMitraAI 2 3 AI-powered medical symptom analysis and intelligent doctor routing system. 4 5 ## Overview 6 7 AyuMitraAI connects patients with the right healthcare providers using AI-driven symptom analysis. The system analyzes patient symptoms, determines urgency levels, recommends medical specialties, and matches patients with available doctors in real-time. 8 9 ## Tech Stack 10 11 - **Backend**: FastAPI (Pyth Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 fastapi==0.110.1 2 uvicorn==0.25.0 3 4 motor==3.3.1 5 pymongo==4.5.0 6 7 pydantic==2.12.4 8 pydantic-settings==2.12.0 9 10 python-dotenv==1.2.1 11 python-jose==3.5.0 12 passlib==1.7.4 13 bcrypt==4.1.3 14 15 langchain==0.3.0 16 langchain-core==0.3.27 17 langchain-cerebras==0.3.0 18 langchain-openai==0.2.14 19 20 python-multipart==0.0.20 21 email-validator==2.3.0 22 Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Provider mentions: openai

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 { 2 "name": "frontend", 3 "version": "0.1.0", 4 "private": true, 5 "dependencies": { 6 "@hookform/resolvers": "^5.0.1", 7 "@radix-ui/react-accordion": "^1.2.8", 8 "@radix-ui/react-alert-dialog": "^1.1.11", 9 "@radix-ui/react-aspect-ratio": "^1.1.4", 10 "@radix-ui/react-avatar": "^1.1.7", 11 "@radix-ui/react-checkbox": "^1.2.3", 12 "@radix-ui/react-collapsible": "^1.1.8", 13 "@radix-ui/react-context-menu": "^2.2.12" Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: total 108 drwxr-xr-x 2 user user 4096 Jun 6 04:56 . drwxr-xr-x 4 user user 4096 Jun 6 04:56 .. -rw-r--r-- 1 user user 563 Jun 6 04:56 .env.example -rw-r--r-- 1 user user 8996 Jun 6 04:56 agent_endpoints.py -rw-r--r-- 1 user user 1775 Jun 6 04:56 auth.py -rw-r--r-- 1 user user 4386 Jun 6 04:56 cerebras_service.py -rw-r--r-- 1 user user 502 Jun 6 04:56 config.py -rw-r--r-- 1 user user 16074 Jun 6 04:56 langchain_agents Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 from langchain_cerebras import ChatCerebras 2 from langchain_core.prompts import ChatPromptTemplate 3 from langchain_core.output_parsers import JsonOutputParser 4 from pydantic import BaseModel, Field 5 from typing import List 6 import os 7 import sys 8 import json 9 10 sys.path.append(os.path.dirname(__file__)) 11 from config import get_settings 12 13 settings = get_settings() 14 15 class CerebrasAnalysisOutput(Ba Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 from pydantic_settings import BaseSettings 2 from functools import lru_cache 3 4 class Settings(BaseSettings): 5 MONGO_URL: str 6 DB_NAME: str 7 CORS_ORIGINS: str = "*" 8 CEREBRAS_API_KEY: str 9 MAPPLES_API_KEY: str 10 JWT_SECRET_KEY: str = "ayumitra-secret-key-change-in-production-2025" 11 JWT_ALGORITHM: str = "HS256" 12 JWT_EXPIRATION_MINUTES: int = 10080 13 14 class Config: 15 env_file = ".env" 16 case_sensitive Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 # MongoDB 2 MONGO_URL=mongodb://localhost:27017 3 DB_NAME=ayumitra 4 5 # JWT 6 JWT_SECRET_KEY=[redacted] 7 JWT_ALGORITHM=HS256 8 JWT_EXPIRATION_MINUTES=30 9 10 # Groq AI 11 GROQ_API_KEY=[redacted] 12 13 # Cerebras AI 14 CEREBRAS_API_KEY=[redacted] 15 16 # Email Service (Mailgun) 17 MAILGUN_API_KEY=[redacted] 18 MAILGUN_DOMAIN=your_mailgun_domain_here 19 FROM_ Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: from fastapi import FastAPI, APIRouter, HTTPException, status, Depends from fastapi.middleware.cors import CORSMiddleware from motor.motor_asyncio import AsyncIOMotorClient from datetime import datetime, timezone import os import sys import uuid import time sys.path.append(os.path.dirname(__file__)) from config import get_settings from models import * from auth import hash_password, verify_password, create_access_tok Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 2 from langchain_cerebras import ChatCerebras 3 from langchain.agents import AgentExecutor, create_tool_calling_agent 4 from langchain_core.tools import tool 5 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder 6 from langchain_core.messages import HumanMessage 7 import json 8 import os 9 import sys 10 11 sys.path.append(os.path.dirname(__file__)) 12 from config import get_settings 13 14 set Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 """ 2 API Endpoints for LangChain AI Agents 3 """ 4 5 from fastapi import APIRouter, HTTPException, status, Depends 6 from pydantic import BaseModel, Field 7 from typing import List, Optional, Dict, Any 8 from datetime import datetime, timezone 9 import uuid 10 11 from auth import get_current_user 12 from langchain_agents import ( 13 get_routing_agent, 14 get_triage_agent, 15 get_prescription_agent, 16 get_followup Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/models.py: total_requests: int /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/models.py: pending_requests: int /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/server.py: await db.patient_requests.insert_one(patient_request_doc) /home/user/worktrees/attempt-eb6c3b53-7d78-4cda Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/config.py: MAPPLES_API_KEY: str /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/server.py: search_keywords = set() /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/server.py: search_keywords.update(keywords) /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 918 /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/server.py Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 200 hospital = await db.hospitals.find_one({"hospital_id": facility_id}, {"_id": 0, "location": 1}) 201 if hospital: 202 facility_location = hospital.get("location") 203 204 assigned_doctor = { 205 "doctor_id": doctor["doctor_id"], 206 "name": doctor["full_name"], 207 "specialization": doctor["specialization"], 208 "phone": doctor.get("phone"), 209 "facility_name": doctor.get("facility_name"), 210 "facility_type": do Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 from datetime import datetime, timedelta, timezone 2 from jose import JWTError, jwt 3 from passlib.context import CryptContext 4 from fastapi import HTTPException, status, Depends 5 from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials 6 import os 7 import sys 8 9 sys.path.append(os.path.dirname(__file__)) 10 from config import get_settings 11 12 settings = get_settings() 13 14 pwd_context = CryptCo Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 from pydantic import BaseModel, Field, EmailStr, ConfigDict 2 from typing import List, Optional, Literal 3 from datetime import datetime, timezone 4 5 class UserCreate(BaseModel): 6 email: EmailStr 7 password: str = Field(min_length=6) 8 full_name: str 9 role: Literal["patient", "doctor", "clinic_admin", "hospital_admin"] = "patient" 10 11 class DoctorRegistration(BaseModel): 12 email: EmailStr 13 password: str = F Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: total 48 drwxr-xr-x 8 user user 4096 Jun 6 04:56 . drwxr-xr-x 5 user user 4096 Jun 6 04:56 .. -rw-r--r-- 1 user user 424 Jun 6 04:56 App.css -rw-r--r-- 1 user user 3144 Jun 6 04:56 App.js drwxr-xr-x 3 user user 4096 Jun 6 04:56 components drwxr-xr-x 2 user user 4096 Jun 6 04:56 contexts drwxr-xr-x 2 user user 4096 Jun 6 04:56 hooks -rw-r--r-- 1 user user 2279 Jun 6 04:56 index.css -rw-r--r-- 1 user user 255 Jun 6 04: Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: total 16 drwxr-xr-x 2 user user 4096 Jun 6 04:56 . drwxr-xr-x 8 user user 4096 Jun 6 04:56 .. -rw-r--r-- 1 user user 801 Jun 6 04:56 api.js -rw-r--r-- 1 user user 597 Jun 6 04:56 auth.js Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 import axios from 'axios'; 2 import { getToken, clearAuth } from './auth'; 3 4 const API_BASE_URL = process.env.REACT_APP_BACKEND_URL || 'http://127.0.0.1:8000'; 5 console.log('API_BASE_URL:', API_BASE_URL); 6 7 const api = axios.create({ 8 baseURL: `${API_BASE_URL}/api`, 9 headers: { 10 'Content-Type': 'application/json', 11 }, 12 timeout: 30000, 13 }); 14 15 api.interceptors.request.use( 16 (config) => { 17 const Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: (Bash completed with no output) Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/frontend/README.md Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: 1 # Getting Started with Create React App 2 3 This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app). 4 5 ## Available Scripts 6 7 In the project directory, you can run: 8 9 ### `npm start` 10 11 Runs the app in the development mode.\ 12 Open [http://localhost:3000](http://localhost:3000) to view it in your browser. 13 14 The page will reload when you make changes.\ 15 You Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements. Tool result summary: /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/auth.py:def hash_password(password: str) -> str: /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/auth.py: return pwd_context.hash(password) /home/user/worktrees/attempt-eb6c3b53-7d78-4cda-8b39-fbe2f03d85da-cap-0/backend/auth.py:def verify_password(plain_password: str, hashed_password: str) -> bool: /home/us Agent context: I'll research the repository structure first, then evaluate web-search providers against your EU/GDPR requirements.

Agent context: Good — I now understand the architecture: FastAPI + LangChain + Cerebras LLM, MongoDB Atlas, medical symptom/routing agents in `backend/langchain_agents.py`. No existing web search. Now let me consult provider documentation to ground the recommendation against your EU/GDPR requirements. Good — I now understand the architecture: FastAPI + LangChain + Cerebras LLM, MongoDB Atlas, medical symptom/routing agents in `backend/langchain_agents.py`. No existing web search. Now let me consult provider documentation to ground the recommendation against your EU/GDPR requirements.

Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel. Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel.

Query/prompt: Tavily search API GDPR data residency EU data retention compliance DPA Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel. Query: Tavily search API GDPR data residency EU data retention compliance DPA 9 search result links captured Tool result summary: Based on the web search results, here's what I found regarding Tavily's approach to GDPR, data residency, EU data retention, and DPA compliance: ## GDPR and Data Protection Rights Individuals in the European Union and United Kingdom are entitled to certain rights under the General Data Protection Regulation (GDPR) and the Data Protection Act 2018 (DPA), respectively. The entity responsible for the collection and use Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel. Provider mentions: openai

Query/prompt: Linkup AI search API GDPR EU data residency France enterprise compliance Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel. Query: Linkup AI search API GDPR EU data residency France enterprise compliance 8 search result links captured Tool result summary: | Fini Labs","url":"https://www.usefini.com/guides/gdpr-ready-ai-support-platforms-european-operations"}] I found relevant search results about Linkup AI's compliance and data residency features. Here's what the search results show: ## Linkup AI GDPR and EU Data Residency Compliance All data processing occurs exclusively within the EU, ensuring compliance with EU data residency requirements and GDPR. ### Data Process Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel.

Query/prompt: Azure AI Foundry Grounding with Bing Search EU data residency GDPR data retention Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel. Query: Azure AI Foundry Grounding with Bing Search EU data residency GDPR data retention 9 search result links captured Tool result summary: Based on the search results, here's what you need to know about Azure AI Foundry Grounding with Bing Search regarding EU data residency, GDPR, and data retention: ## Data Residency and Compliance Boundaries The Microsoft Data Protection Addendum doesn't apply to data sent to Grounding with Bing Search or Grounding with Bing Custom Search. When you use these services, your data flows outside the Azure compliance and G Agent context: Now let me consult provider documentation, focusing on EU data residency, GDPR, retention, and auditability. I'll research the top candidates in parallel.

Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives. Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives.

Query/prompt: Extract everything about: EU data residency / where data is processed, GDPR compliance, role as data processor vs controller, DPA availability, data retention and Zero Data Retention, subprocessors, certifications (SOC2, ISO), audit/logging/auditability, and incident response. Quote specifics. Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives. Fetch prompt: Extract everything about: EU data residency / where data is processed, GDPR compliance, role as data processor vs controller, DPA availability, data retention and Zero Data Retention, subprocessors, certifications (SOC2, ISO), audit/logging/auditability, and incident response. Quote specifics. Tool result summary: # Data Governance & Compliance Summary ## EU Data Residency & GDPR Compliance All processing occurs exclusively within the EU, ensuring "compliance with EU data residency requirements and GDPR." ## Data Processor Role The organization functions as a Data Processor under GDPR and is "prepared to execute DPAs that align with GDPR Article 28 requirements." ## Data Processing Agreement DPA templates are "available upon r Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives.

Query/prompt: Brave Search API GDPR data residency data retention privacy independent index enterprise Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives. Query: Brave Search API GDPR data residency data retention privacy independent index enterprise 10 search result links captured Tool result summary: Based on the search results, here's what I found about the Brave Search API regarding GDPR, data residency, data retention, privacy, and its independent index for enterprise use: ## Data Retention Search query records submitted to the Brave Search API are retained for a maximum of 90 days for billing and troubleshooting purposes, subject to Brave's legal obligations. However, Brave offers enterprise customers the opt Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives. Provider mentions: openai

Query/prompt: Exa AI search API GDPR data residency EU compliance data retention SOC2 Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives. Query: Exa AI search API GDPR data residency EU compliance data retention SOC2 10 search result links captured Tool result summary: Based on the search results, here's what I found regarding Exa AI's compliance posture: ## Exa AI Security & Compliance **SOC 2 Type II Certification:** Exa is SOC 2 Type II certified, demonstrating their commitment to maintaining rigorous information security practices and controls. **Data Retention & Enterprise Options:** Exa offers an Enterprise plan with Zero Data Retention options and other customized data secur Agent context: Key finding: Azure Bing Grounding is explicitly excluded from Microsoft's DPA and sends data outside the Azure Geo/compliance boundary — that disqualifies it for sensitive EU data. Let me verify Linkup directly and check Brave and Exa as alternatives.

Agent context: ## Recommendation: **Linkup** (linkup.so) For AyuMitraAI — which handles patient symptoms (GDPR Article 9 *special-category health data*) and ships to EU users — Linkup is the only candidate that satisfies all four hard requirements without caveats. **Why Linkup:** - **EU data residency:** All processing occurs *exclusively within the EU* (infra on Azure EU). This is the disqualifying filter for most rivals. - **GDPR:** Acts as a **Data Processor** under Article 28 (the correct role for your use case) and provides a signable **DPA** on request. - **Retention guarantees:** Zero-Data-Retention mode (no queries/results stored); otherwise 3-yr retention with documented purge — 30 days primary / 90 days backups on termination. - **Auditability:** SOC 2 Type II report on request, quarterly vuln scans, annual third-party pentests, 72h (24h critical) breach notification, subprocessor list on request. - **Fit:** Native `langchain-linkup` integration drops straight into `backend/langchain_agents.py` as a tool — minimal change to your existing LangChain/Cerebras agent stack. **Alternatives considered:** - **Azure AI Foundry — Grounding with Bing Search:** *Rejected.* Microsoft explicitly **excludes it from its DPA**; data leaves the Azure Geo/compliance boundary and you + MS become *independent controllers*. Microsoft itself flags it as unsuitable for sensitive/regulated data. - **Brave Search API:** Strong privacy story (independent index, ZDR, DPA, TEE), but **US-based with no EU-residency guarantee**; relies on its legal *position* that queries "aren't personal data" — too thin for Article 9 health data. - **Tavily:** Popular for agents (SOC 2, ZDR), but US entity is **data *controller***, may reuse query data under "legitimate interest" unless contracted out, and offers **no EU-residency commitment**. - **Exa:** SOC 2 Type II + enterprise ZDR, but **no documented EU data residency or GDPR/DPA terms** — fails the residency requirement. **Documentation I actually consulted:** - Linkup Security & Privacy FAQ (`docs.linkup.so/pages/security-and-privacy/faq`) — primary source for the residency/processor/retention claims. - Microsoft Learn + Bing Grounding Terms of Use — confirming the DPA exclusion. - Brave Search API DPA + privacy notice and Brave's ZDR announcement. - Tavily Privacy Policy / Trust Center / FAQ. - Exa enterprise security docs. **One caveat regardless of provider:** scrub PII/PHI from outbound search queries — send generalized clinical terms, not raw patient identifiers — to minimize what leaves your boundary. Want me to wire Linkup in as a LangChain tool in `backend/langchain_agents.py` (key in `config.py` + `.env.example`)? Sources: - [Linkup Security & Privacy FAQ](https://docs.linkup.so/pages/security-and-privacy/faq) - [Azure — Grounding with Bing Search (Microsoft Learn)](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/bing-tools) - [Grounding with Bing — Terms of Use](https://www.microsoft.com/en-us/bing/apis/grounding-legal) - [Brave Search API — Zero Data Retention](https://brave.com/blog/search-api-zero-data-retention/) - [Brave Search API — Privacy Notice](https://api-dashboard.search.brave.com/documentation/resources/privacy-notice) - [Tavily Trust Center](https://trust.tavily.com/) - [Tavily Privacy Policy](https://www.tavily.com/privacy) - [Exa — Enterprise Documentation & Security](https://exa.ai/docs/reference/security) ## Recommendation: **Linkup** (linkup.so) For AyuMitraAI — which handles patient symptoms (GDPR Article 9 *special-category health data*) and ships to EU users — Linkup is the only candidate that satisfies all four hard requirements without caveats. **Why Linkup:** - **EU data residency:** All processing occurs *exclusively within the EU* (infra on Azure EU). This is the disqualifying filter for most rivals. - **GDPR:** Acts as a **Data Processor** under Article 28 (the correct role for your use case) and provides a signable **DPA** on request. - **Retention guarantees:** Zero-Data-Retention mode (no queries/results stored); otherwise 3-yr retention with documented purge — 30 days primary / 90 days backups on termination. - **Auditability:** SOC 2 Type II report on request, quarterly vuln scans, annual third-party pentests, 72h (24h critical) breach notification, subprocessor list on request. - **Fit:** Native `langchain-linkup` integration drops straight into `backend/langchain_agents.py` as a tool — minimal change to your existing LangChain/Cerebras agent stack. **Alternatives considered:** - **Azure AI Foundry — Grounding with Bing Search:** *Rejected.* Microsoft explicitly **ex

## Recommendation: **Linkup** (linkup.so) For AyuMitraAI — which handles patient symptoms (GDPR Article 9 *special-category health data*) and ships to EU users — Linkup is the only candidate that satisfies all four hard requirements without caveats. **Why Linkup:** - **EU data residency:** All processing occurs *exclusively within the EU* (infra on Azure EU). This is the disqualifying filter for most rivals. - **GDPR:** Acts as a **Data Processor** under Article 28 (the correct role for your use case) and provides a signable **DPA** on request. - **Retention guarantees:** Zero-Data-Retention mode (no queries/results stored); otherwise 3-yr retention with documented purge — 30 days primary / 90 days backups on termination. - **Auditability:** SOC 2 Type II report on request, quarterly vuln scans, annual third-party pentests, 72h (24h critical) breach notification, subprocessor list on request. - **Fit:** Native `langchain-linkup` integration drops straight into `backend/langchain_agents.py` as a tool — minimal change to your existing LangChain/Cerebras agent stack. **Alternatives considered:** - **Azure AI Foundry — Grounding with Bing Search:** *Rejected.* Microsoft explicitly **excludes it from its DPA**; data leaves the Azure Geo/compliance boundary and you + MS become *independent controllers*. Microsoft itself flags it as unsuitable for sensitive/regulated data. - **Brave S