import { useEffect, useState } from "react" import { Cpu, Palette, User as UserIcon, Info, Users, Plus, Trash2, } from "lucide-react" import { listModels } from "@crema/llm-ui" import { buildAdapter, LLMProvidersSettingsCard, resetSettings as resetProviderSettings, useSettings as useProviderSettings, type LLMProvidersSettings, } from "@crema/llm-providers-ui" import { useArcadiaClient } from "@crema/arcadia-client" import { probeProxy, type LLMProxyProvider } from "~/lib/arcadia/llm-proxy" import { AppShell } from "~/components/layout/app-shell" import { Button } from "~/components/ui/button" import { Card, CardContent, CardDescription, CardHeader, CardTitle, } from "~/components/ui/card" import { loadActiveAgentId, newAgentId, resetAgents, saveActiveAgentId, saveAgents, useAgents, type Agent, } from "~/lib/agents" import { pageTitle } from "~/lib/page-meta" export const meta = () => pageTitle("Settings") const SECTION_KEY = "crema.settings.section" type SectionId = "llm" | "agents" | "appearance" | "account" | "about" const sections: { id: SectionId label: string icon: React.ComponentType<{ className?: string }> description: string }[] = [ { id: "llm", label: "LLM", icon: Cpu, description: "Model endpoint & budgets" }, { id: "agents", label: "Agents", icon: Users, description: "Personas, roles, sub-prompts", }, { id: "appearance", label: "Appearance", icon: Palette, description: "Theme, font size, surface, background", }, { id: "account", label: "Account", icon: UserIcon, description: "Profile & preferences" }, { id: "about", label: "About", icon: Info, description: "Version & credits" }, ] export default function SettingsRoute() { const arcadia = useArcadiaClient() const testConnection = async ( s: LLMProvidersSettings, ): Promise<{ ok: boolean; message: string }> => { try { const arcadiaBaseURL = (import.meta.env.VITE_ARCADIA_URL as string | undefined) ?? "http://localhost:4000" const arcadiaTenantId = (import.meta.env.VITE_ARCADIA_TENANT as string | undefined) ?? "default" const arcadiaAuthToken = typeof window !== "undefined" ? sessionStorage.getItem("arcadia_access_token") ?? undefined : undefined const adapter = await buildAdapter({ settings: s, // Direct-mode resolver — fetches the API key from the vault. resolveSecret: async (name) => { const res = await arcadia.GET<{ data: { value: string } }>( `/api/v1/secrets/${encodeURIComponent(name)}`, ) return res.data.value }, // Proxy-mode coordinates. arcadiaBaseURL, arcadiaAuthToken, arcadiaTenantId, }) // Proxy mode: round-trip a 1-token chat to verify auth → secret // resolution → upstream dispatch end-to-end. Maps the contract's // specific error codes to user-facing messages. if (s.mode === "proxy") { return probeProxy(arcadia, { provider: s.providerId as LLMProxyProvider, model: s.model || (s.providerId === "anthropic" ? "claude-opus-4-7" : "gpt-4o-mini"), secretName: s.secretName || undefined, }) } // Direct mode — for OpenAI-compatible endpoints, /models is a cheap probe. if (s.providerId !== "anthropic") { const baseURL = s.baseURL || (s.providerId === "lmstudio" ? "http://localhost:1234/v1" : s.providerId === "openai" ? "https://api.openai.com/v1" : s.providerId === "deepseek" ? "https://api.deepseek.com/v1" : "https://dashscope-intl.aliyuncs.com/compatible-mode/v1") // Resolve key for the probe (lmstudio doesn't need one). let apiKey: string | undefined if (s.providerId !== "lmstudio" && s.secretName) { try { const res = await arcadia.GET<{ data: { value: string } }>( `/api/v1/secrets/${encodeURIComponent(s.secretName)}`, ) apiKey = res.data.value } catch (err) { const msg = err instanceof Error ? err.message : String(err) if (/404|not[_ ]found/i.test(msg)) { return { ok: false, message: `No vault secret named "${s.secretName}". Create it under /secrets first (paste the API key as the Value), then enter the secret's name here.`, } } throw err } } const ac = new AbortController() const t = setTimeout(() => ac.abort(), 5000) try { const rows = await listModels({ baseURL, apiKey, signal: ac.signal }) return { ok: true, message: `Connected. ${rows.length} model(s) reachable.` } } finally { clearTimeout(t) } } // Anthropic doesn't expose a /models list; we just confirm adapter built. return { ok: true, message: `Adapter ready (${adapter.label ?? adapter.id}).` } } catch (e) { return { ok: false, message: e instanceof Error ? e.message : String(e) } } } const [section, setSection] = useState(() => { if (typeof window === "undefined") return "llm" const stored = localStorage.getItem(SECTION_KEY) return sections.some((s) => s.id === stored) ? (stored as SectionId) : "llm" }) useEffect(() => { if (typeof window !== "undefined") localStorage.setItem(SECTION_KEY, section) }, [section]) return (
{section === "llm" && (
LLM Pick a provider, model, and the arcadia-vault secret holding the API key. Settings auto-save as you type. The Assistant picks them up on the next message.
Need to manage stored keys? See Secrets.
)} {section === "agents" && } {section === "appearance" && ( Appearance Theme, font size, surface tint, and background atmosphere are in the appbar — the toggles up top write to localStorage and persist across sessions. Use the icons in the appbar (top right) to change theme, font size, surface tint, and background. )} {section === "account" && ( Account Identity and profile preferences. Wire ~/lib/identity.ts to a real session to populate this panel. )} {section === "about" && ( About App version and credits.

Built on the Crema design system.

Hybrid traditional + AI-first scaffold with a virtual cursor and command bus for assistant-driven UI control.

)}
) } function Field({ label, hint, children, }: { label: string hint?: string children: React.ReactNode }) { return ( ) } function AgentsPanel() { const agents = useAgents() const [activeId, setActiveId] = useState(() => loadActiveAgentId()) const [editingId, setEditingId] = useState(null) useEffect(() => { saveActiveAgentId(activeId) }, [activeId]) const editing = agents.find((a) => a.id === editingId) ?? null const update = (next: Agent) => { saveAgents(agents.map((a) => (a.id === next.id ? next : a))) } const remove = (id: string) => { if (agents.length <= 1) return const next = agents.filter((a) => a.id !== id) saveAgents(next) if (activeId === id) setActiveId(next[0].id) if (editingId === id) setEditingId(null) } const create = () => { const id = newAgentId() const draft: Agent = { id, name: "New persona", role: "Specialist", prompt: "Describe what this persona is good at and how it should respond.", } saveAgents([...agents, draft]) setEditingId(id) } return ( Agents Personas with their own sub-system prompts. Switch the active one in the chat status bar — the assistant inherits its skills, tone, and scope. Lets you keep contexts focused: a coder agent doesn't carry writing-task context; a writer doesn't carry codebase context.
    {agents.map((a) => { const isActive = activeId === a.id const isEditing = editingId === a.id return (
  • {isEditing && editing && (
    update({ ...editing, name: e.target.value }) } /> update({ ...editing, role: e.target.value }) } />