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Khalid Abdi
3a7378e00d
Real LLM chat replacing the mock, backend-centric per the plan: - Multi-provider API-key mode (OpenAI / Anthropic / Gemini via the AI SDK) plus local Ollama (OpenAI-compatible endpoint). Provider is derived from the picked model id; the matching stored key is used. New user_ai_settings table holds per-user config with provider API keys encrypted at rest (AES-256-GCM, src/lib/crypto.ts, keyed by AI_CREDENTIALS_KEY). - POST /api/ai/config (get/put, secrets never returned), POST /api/ai/test (Ollama ping / key presence), POST /api/ai/import (approved migration commit, re-validated server-side, reuses the audited patient service). - POST /api/chat: streamText agent with tools (getPatient, getPatientLabs, searchPatients, previewImport). Real record data streams to the clinician as custom data parts (cards) while the model sees only Veil-redacted results. - Veil (src/services/ai/veil.ts): de-identifies patient identifiers to tokens before external calls, resolves tokens on tool args, and rehydrates the final answer. Bypassed for local Ollama. External mode runs non-streamed so the rehydrated text is correct. Every call is audited (provider + Veil level). - Shared role-scoping helpers extracted to src/lib/role-scope.ts (reused by the patient routes and chat tools so visibility rules match). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>