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Khalid Abdi
d30c310336
The composer's SELECT is now a clinician-facing mode picker instead of a list of LLM vendors (the model still comes from Settings → AI and continues to drive the Veil consent gate). The mode travels with each send: - backend appends an Analysis/Graph directive to the agent's system prompt - Graph mode renders an Obsidian-style RecordGraph for the /patient fast-path (new data-recordGraph message part reusing the shared graph component) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
45 lines
1.3 KiB
TypeScript
45 lines
1.3 KiB
TypeScript
// The chat "situation" modes shown in the composer — what the clinician wants
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// the assistant to do, rather than which LLM runs (the model/provider is set
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// once in Settings → AI). The mode travels with each send so the backend can
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// shape its system prompt, and Graph mode also renders the record graph for the
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// `/patient` fast-path.
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import { MessageSquare, Network, Sparkles } from "lucide-react";
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export type ChatMode = "chat" | "analysis" | "graph";
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export const DEFAULT_MODE: ChatMode = "chat";
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export type ChatModeOption = {
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id: ChatMode;
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icon: typeof MessageSquare;
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// i18n keys under `chat.input.modes.*`.
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labelKey: string;
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descriptionKey: string;
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};
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export const CHAT_MODES: ChatModeOption[] = [
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{
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id: "chat",
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icon: MessageSquare,
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labelKey: "chat.input.modes.chat.label",
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descriptionKey: "chat.input.modes.chat.description",
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},
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{
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id: "analysis",
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icon: Sparkles,
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labelKey: "chat.input.modes.analysis.label",
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descriptionKey: "chat.input.modes.analysis.description",
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},
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{
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id: "graph",
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icon: Network,
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labelKey: "chat.input.modes.graph.label",
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descriptionKey: "chat.input.modes.graph.description",
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},
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];
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export function getMode(id: string): ChatModeOption {
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return CHAT_MODES.find((m) => m.id === id) ?? CHAT_MODES[0];
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}
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