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https://github.com/temetro/temetro.git
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fa2e499440
Make the chat feel alive and let the agent act on the clinic — safely. UX (frontend): - Stream `data-step` parts from each tool into an inline Chain-of-Thought trace, plus a "Thinking…" shimmer while a request is in flight (works even on the non-streamed external+Veil path). - Replace the modal Veil consent Dialog with an inline, once-per-session "Veil" confirmation above the input (with a "Use local model" option). - Render new list + action-preview cards; chat-input now uses COSS tokens. Agent (backend): - Add display tools (listAppointments / listTasks / listPrescriptions) and propose tools (proposeAppointment / proposeTask / proposePrescription) that validate as a dry run and stream an approval card — nothing is written until the clinician approves, via the existing RBAC-gated create endpoints. - previewImport now also covers single-patient add + migration. - System prompt: display + add only, never edit/delete or alter the schema; stronger migration guidance. ToolContext carries the viewer for task scoping. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
68 lines
2.1 KiB
TypeScript
68 lines
2.1 KiB
TypeScript
import type { UIMessage } from "ai";
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import type { Appointment } from "@/lib/appointments";
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import type { Lab, Patient, Trend } from "@/lib/patients";
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import type { Prescription } from "@/lib/prescriptions";
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import type { Task } from "@/lib/tasks";
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// Custom data parts the backend agent streams alongside its text. They carry
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// REAL (un-redacted) record data straight to the clinician's screen for rich
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// rendering — the model itself only ever sees Veil-redacted tool results.
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export type LabCardData = {
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fileNumber: string;
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name: string;
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labs: Lab[];
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labTrend: Trend;
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};
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export type ImportPreviewData = {
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// Validated, ready-to-commit records (server re-validates on commit).
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valid: unknown[];
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invalid: { index: number; errors: string[] }[];
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total: number;
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};
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export type VeilNoticeData = {
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provider: string;
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level: string;
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};
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// A Chain-of-Thought step the agent emits as it works (one per tool action).
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export type StepData = {
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id: string;
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label: string;
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status: "active" | "complete";
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};
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// Read-only list cards (display actions).
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export type AppointmentListData = { appointments: Appointment[] };
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export type TaskListData = { tasks: Task[] };
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export type PrescriptionListData = { prescriptions: Prescription[] };
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// An add proposed by the agent, awaiting one-click clinician approval. `record`
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// is the validated, ready-to-commit input for the matching create endpoint.
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export type ActionPreviewKind = "appointment" | "task" | "prescription";
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export type ActionPreviewData = {
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token: string;
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kind: ActionPreviewKind;
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record: unknown;
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issues?: string[];
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};
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// Maps each data part name → its payload. Part `type` strings are the key
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// prefixed with `data-` (e.g. `data-patientCard`), per the AI SDK convention.
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export type TemetroDataParts = {
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patientCard: Patient;
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labCard: LabCardData;
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importPreview: ImportPreviewData;
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veilNotice: VeilNoticeData;
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step: StepData;
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appointmentList: AppointmentListData;
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taskList: TaskListData;
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prescriptionList: PrescriptionListData;
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actionPreview: ActionPreviewData;
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};
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export type TemetroUIMessage = UIMessage<never, TemetroDataParts>;
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