import { useCallback, useEffect, useRef, useState, } from "react" import { Archive, ArrowRight, BookmarkPlus, ChevronDown, Command as CommandIcon, Copy, Download, FileText, Loader2, Mic, MicOff, Plus, RefreshCw, RotateCcw, Square, Trash2, Undo2, X, } from "lucide-react" import { LLMProvider, MockLLM, listModels, useChat, useCompletion, type LLMAdapter, } from "@crema/llm-ui" import { buildAdapter, getProvider, useSettings as useProviderSettings, } from "@crema/llm-providers-ui" import { TypingIndicator } from "@crema/chat-ui" import { AppShell } from "~/components/layout/app-shell" import { MessageBody } from "~/components/assistant/message-body" import { Button } from "~/components/ui/button" import { DropdownMenu, DropdownMenuContent, DropdownMenuItem, DropdownMenuTrigger, } from "~/components/ui/dropdown-menu" import { Popover, PopoverContent, PopoverTrigger, } from "~/components/ui/popover" import { loadActiveAgentId, saveActiveAgentId, useAgents, type Agent, } from "~/lib/agents" import { addLibraryItem } from "~/lib/library" import { Avatar, AvatarFallback } from "~/components/ui/avatar" import { pageTitle } from "~/lib/page-meta" import { useArcadiaClient } from "@crema/arcadia-client" import type { Message as LLMMessage, ToolCall } from "@crema/llm-ui" import { AgentAvatar, ToolCallCard, type ToolCall as AgentToolCall, type ToolCallStatus, } from "@crema/agent-ui" import { buildDenialMessages, classifyCalls, getOpenAITools, runLLMToolCalls, } from "~/lib/admin-tools" import { ARCADIA_KNOWLEDGE } from "~/lib/arcadia-knowledge" import { formatAdminContextForPrompt } from "~/lib/admin-context" import { ConfirmCard } from "~/components/assistant/confirm-card" import { renderToolResult } from "~/components/assistant/tool-result-renderers" function ToolResultBlock({ name, result }: { name: string; result: unknown }) { const rich = renderToolResult(name, result) if (!rich) return null return
{rich}
} const SNAPSHOT_KEY = "crema.ai.snapshot" // Separate key for the live conversation that survives navigation. The // compact snapshot is reserved for the user-triggered Compact/Restore flow. const LIVE_KEY = "crema.ai.live" function loadLive(): LLMMessage[] | null { if (typeof window === "undefined") return null try { const raw = localStorage.getItem(LIVE_KEY) if (!raw) return null const parsed = JSON.parse(raw) if (Array.isArray(parsed)) return parsed as LLMMessage[] } catch {} return null } function saveLive(msgs: LLMMessage[]) { if (typeof window === "undefined") return if (msgs.length === 0) { localStorage.removeItem(LIVE_KEY) return } try { localStorage.setItem(LIVE_KEY, JSON.stringify(msgs)) } catch { // Quota exceeded or similar — silently drop persistence. } } function clearLive() { if (typeof window === "undefined") return localStorage.removeItem(LIVE_KEY) } type StoredMessage = { role: "user" | "assistant"; content: string } function loadAISnapshot(): StoredMessage[] | null { if (typeof window === "undefined") return null try { const raw = localStorage.getItem(SNAPSHOT_KEY) if (!raw) return null const parsed = JSON.parse(raw) if (Array.isArray(parsed)) return parsed as StoredMessage[] } catch {} return null } function saveAISnapshot(msgs: StoredMessage[]) { if (typeof window === "undefined") return localStorage.setItem(SNAPSHOT_KEY, JSON.stringify(msgs)) } function clearAISnapshot() { if (typeof window === "undefined") return localStorage.removeItem(SNAPSHOT_KEY) } export const meta = () => pageTitle("AI") const MODEL_KEY = "crema.ai.model" const PROBE_TIMEOUT_MS = 3000 type Status = | { kind: "probing" } | { kind: "live"; models: string[] } | { kind: "mock"; reason: string } const mockAdapter = new MockLLM({ label: "Mock", delayMs: 18, fallback: "I'm a stand-in for the local model. Start LM Studio at localhost:1234 and reload to swap me out.", responses: [], }) function withTimeout(p: Promise, ms: number, signal: AbortSignal) { return new Promise((resolve, reject) => { const t = setTimeout(() => reject(new Error("timeout")), ms) signal.addEventListener("abort", () => { clearTimeout(t) reject(new DOMException("Aborted", "AbortError")) }) p.then( (v) => { clearTimeout(t) resolve(v) }, (e) => { clearTimeout(t) reject(e) }, ) }) } export default function AIRoute() { const settings = useProviderSettings() const arcadia = useArcadiaClient() const provider = getProvider(settings.providerId) const agents = useAgents() const [status, setStatus] = useState({ kind: "probing" }) const [model, setModel] = useState(() => { if (typeof window === "undefined") return "" return localStorage.getItem(MODEL_KEY) ?? "" }) const [adapter, setAdapter] = useState(mockAdapter) const [activeAgentId, setActiveAgentIdState] = useState(() => loadActiveAgentId(), ) const setActiveAgentId = useCallback((id: string) => { saveActiveAgentId(id) setActiveAgentIdState(id) }, []) const activeAgent = agents.find((a) => a.id === activeAgentId) ?? agents[0] // When the user changes provider/model in Settings, follow along. useEffect(() => { if (settings.model) setModel(settings.model) }, [settings.providerId, settings.model]) // Resolve the API key from the vault (direct mode) or build the proxy // adapter (proxy mode), then refresh the model list. const probe = useCallback(() => { const ac = new AbortController() setStatus({ kind: "probing" }) const resolveSecret = async (name: string): Promise => { const res = await arcadia.GET<{ data: { value: string } }>( `/api/v1/secrets/${encodeURIComponent(name)}`, ) return res.data.value } 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 ;(async () => { // Build the adapter first so chat works even if the model probe fails. try { const a = await buildAdapter({ settings, resolveSecret, arcadiaBaseURL, arcadiaAuthToken, arcadiaTenantId, }) setAdapter(a) } catch { setAdapter(mockAdapter) } // Probe for a live model list. Anthropic has no /models endpoint, so // fall back to the provider catalog's default models. if (provider.transport === "anthropic") { const ids = provider.defaultModels.length ? provider.defaultModels : ["claude-opus-4-7"] setStatus({ kind: "live", models: ids }) setModel((cur) => (cur && ids.includes(cur) ? cur : settings.model || ids[0])) return } const baseURL = settings.baseURL || provider.baseURL let apiKey: string | undefined if (provider.requiresKey && settings.secretName) { try { apiKey = await resolveSecret(settings.secretName) } catch { // Fall through; listModels may still work for some providers without a key. } } try { const rows = await withTimeout( listModels({ baseURL, apiKey, signal: ac.signal }), PROBE_TIMEOUT_MS, ac.signal, ) const ids = rows.map((m) => m.id) if (ids.length === 0) { setStatus({ kind: "mock", reason: "endpoint returned no models" }) return } setStatus({ kind: "live", models: ids }) setModel((cur) => (cur && ids.includes(cur) ? cur : settings.model || ids[0])) } catch { // Probe failed but adapter may still be usable; show the catalog default // models so the user can pick one and just try sending. if (provider.defaultModels.length) { setStatus({ kind: "live", models: provider.defaultModels }) setModel((cur) => cur && provider.defaultModels.includes(cur) ? cur : settings.model || provider.defaultModels[0], ) } else { setStatus({ kind: "mock", reason: "endpoint unreachable" }) } } })() return () => ac.abort() // eslint-disable-next-line react-hooks/exhaustive-deps }, [ arcadia, settings.providerId, settings.baseURL, settings.secretName, settings.mode, settings.model, provider.transport, provider.baseURL, provider.requiresKey, ]) useEffect(() => probe(), [probe]) useEffect(() => { if (model) localStorage.setItem(MODEL_KEY, model) }, [model]) const activeModel = status.kind === "live" ? model || status.models[0] : "mock" const availableModels = status.kind === "live" ? status.models : ["mock"] return ( {/* Console aesthetic is scoped to this wrapper only, so the appbar * and sidebar keep using the global skyrise tokens (light/dark * toggle still works for them). */}
) } function ChatSurface({ models, model, onModelChange, agents, activeAgent, onAgentChange, isMock, onRetryProbe, }: { models: string[] model: string onModelChange: (m: string) => void agents: Agent[] activeAgent: Agent | undefined onAgentChange: (id: string) => void isMock: boolean onRetryProbe: () => void }) { const persona = activeAgent ? `Active persona: ${activeAgent.name} — ${activeAgent.role}\n${activeAgent.prompt}` : "" // Track every agent that has produced turns in the current conversation. // When the operator switches mid-thread, we augment the system prompt so // the new agent knows it's stepping into a transcript started by another // persona — without that note it answers as if it produced every prior // turn itself, which is jarring. const [agentHistory, setAgentHistory] = useState>( () => new Map(), ) const prevAgentRef = useRef(activeAgent) // Per-message agent attribution: which agent produced the assistant // message at each index. Populated when a turn finishes streaming, used // in MessageRow to show the right name in the signature line. Survives // until the conversation is cleared. const [messageAgents, setMessageAgents] = useState>( () => new Map(), ) // Hand-off prompt — only emitted when this conversation has been touched // by more than one agent. Lists prior personas the new agent might see in // the transcript. const handoffNote = useMemo(() => { if (agentHistory.size <= 1) return "" if (!activeAgent || !agentHistory.has(activeAgent.id)) return "" const others = [...agentHistory.values()].filter((a) => a.id !== activeAgent.id) if (others.length === 0) return "" const list = others .map((a) => `• ${a.name} (${a.role})`) .join("\n") return [ "PRIOR HAND-OFF:", "Earlier turns in this conversation were produced by other agent personas. Their responses appear in the transcript as assistant turns. Read them as context — they reflect a different voice and may have different style or focus — but answer the next message in your own voice as the current persona. Don't re-introduce yourself unless the user asks who they're talking to.", `Prior personas in this thread:\n${list}`, ].join("\n\n") }, [agentHistory, activeAgent]) const systemPrompt = [ "You are the operator's assistant inside Arcadia Admin. Be precise and direct. You have native function tools attached to this conversation — call them whenever the user asks about live platform state (counts, statuses, listings, lookups). Never invent tenant slugs, user counts, or statuses; if you need data, call a tool.", ARCADIA_KNOWLEDGE, persona, handoffNote, formatAdminContextForPrompt(), ] .filter(Boolean) .join("\n\n") const arcadia = useArcadiaClient() // Hydrate from the persisted live conversation so navigating away and // back doesn't reset the chat. Read once on mount. const initialLive = useRef(null) if (initialLive.current === null) { initialLive.current = loadLive() ?? [] } const { messages, setMessages, send, continueChat, abort, isStreaming } = useChat({ system: systemPrompt, initialMessages: initialLive.current, }) // Persist on every change. Streaming partials get saved too, which is what // we want — refreshing mid-stream restores the partial assistant message. useEffect(() => { saveLive(messages) }, [messages]) // "Clear conversation" must drop three things in lockstep: // 1. The in-memory messages (setMessages([])). // 2. The persisted live snapshot (clearLive()). // 3. The initialLive ref — otherwise on the next render or hook // reconciliation, useChat's reset() would re-seed from the // captured-at-mount initialMessages and the old conversation // pops back. (This was the bug.) // We deliberately don't call useChat's reset() here because reset // restores to opts.initialMessages, which we want to be empty. const resetAndClear = useCallback(() => { initialLive.current = [] clearLive() setMessages([]) setAgentHistory(new Map()) setMessageAgents(new Map()) }, [setMessages]) // Auto tool-loop using native function calls. Reads run automatically; // writes are held in `pendingConfirm` until the operator clicks Confirm // or Deny in the inline ConfirmCard. const toolIterationsRef = useRef(0) const processedTurnRef = useRef(-1) const prevStreamingRef = useRef(isStreaming) // Maintain agent-history. Two triggers: // 1. When a turn finishes streaming and at least one user/assistant // pair exists, the *current* active agent has demonstrably been // involved — add it. // 2. When the operator switches the active agent and there are already // messages in the thread, the *previous* agent was the one talking // until that moment — add it (the new one will be added on its // first turn finish). // Also reset everything when the conversation is cleared. useEffect(() => { if (messages.length === 0) { // Fresh thread — drop any stale history so empty-state behaves. if (agentHistory.size > 0) setAgentHistory(new Map()) prevAgentRef.current = activeAgent return } const prev = prevAgentRef.current if (prev && prev.id !== activeAgent?.id) { // Operator just switched. Lock in the prior agent so the new one // sees it in the hand-off note. setAgentHistory((m) => { if (m.has(prev.id)) return m const next = new Map(m) next.set(prev.id, prev) return next }) } prevAgentRef.current = activeAgent // Also add the current agent if it has just produced something. if (activeAgent && !agentHistory.has(activeAgent.id) && !isStreaming) { const last = messages[messages.length - 1] if (last?.role === "assistant" && last.content.trim()) { setAgentHistory((m) => { if (m.has(activeAgent.id)) return m const next = new Map(m) next.set(activeAgent.id, activeAgent) return next }) } } }, [activeAgent, messages, isStreaming, agentHistory]) const MAX_TOOL_ITERATIONS = 3 const [pendingConfirm, setPendingConfirm] = useState<{ /** Message index that emitted the write calls. */ afterIndex: number writes: ToolCall[] readMessages: { role: "tool"; content: string; toolCallId: string; name: string }[] } | null>(null) const [confirmBusy, setConfirmBusy] = useState(false) useEffect(() => { const justFinished = prevStreamingRef.current && !isStreaming prevStreamingRef.current = isStreaming if (!justFinished) return const lastIdx = messages.length - 1 if (lastIdx < 0) return const last = messages[lastIdx] if (last.role !== "assistant") return // Stamp the agent that produced this turn so the UI signature is // accurate even after the operator switches personas later. Stamps // the *current* activeAgent — by definition the producer of the // turn that just finished. if (activeAgent) { setMessageAgents((m) => { if (m.get(lastIdx)?.id === activeAgent.id) return m const next = new Map(m) next.set(lastIdx, activeAgent) return next }) } if (processedTurnRef.current === lastIdx) return processedTurnRef.current = lastIdx const calls = last.toolCalls ?? [] if (calls.length === 0) { toolIterationsRef.current = 0 return } if (toolIterationsRef.current >= MAX_TOOL_ITERATIONS) return toolIterationsRef.current += 1 void (async () => { const { reads, writes } = classifyCalls(calls) const { toolMessages: readMsgs } = reads.length > 0 ? await runLLMToolCalls(reads, { arcadia }) : { toolMessages: [] } if (writes.length > 0) { setPendingConfirm({ afterIndex: lastIdx, writes, readMessages: readMsgs }) return } void continueChat(readMsgs, { system: systemPrompt, tools: getOpenAITools(), }) })() }, [messages, isStreaming, arcadia, continueChat, systemPrompt]) const onConfirmWrites = useCallback(async () => { if (!pendingConfirm) return setConfirmBusy(true) try { const { toolMessages: writeMsgs } = await runLLMToolCalls( pendingConfirm.writes, { arcadia }, { allowWrites: true }, ) void continueChat([...pendingConfirm.readMessages, ...writeMsgs], { system: systemPrompt, tools: getOpenAITools(), }) } finally { setPendingConfirm(null) setConfirmBusy(false) } }, [pendingConfirm, arcadia, continueChat, systemPrompt]) const onDenyWrites = useCallback(() => { if (!pendingConfirm) return const denials = buildDenialMessages(pendingConfirm.writes) void continueChat([...pendingConfirm.readMessages, ...denials], { system: systemPrompt, tools: getOpenAITools(), }) setPendingConfirm(null) }, [pendingConfirm, continueChat, systemPrompt]) const { complete: completeOneShot, isLoading: compacting } = useCompletion() const [input, setInput] = useState("") const [showPromptOpen, setShowPromptOpen] = useState(false) const [hasCompactSnapshot, setHasCompactSnapshot] = useState( () => !!loadAISnapshot(), ) // Session label — stable for the duration of the page load. Encoded in // base36 from the mount timestamp; just a unique-feeling moniker for // the operator's eye, not anything semantic. const [sessionLabel] = useState(() => typeof window === "undefined" ? "0000-0000" : `${Math.floor(Date.now() / 1000).toString(36).slice(-4).toUpperCase()}-${Math.random() .toString(36) .slice(2, 6) .toUpperCase()}`, ) // Live clock for the modeline / signatures, ticking every second. const [now, setNow] = useState(() => new Date()) useEffect(() => { const id = setInterval(() => setNow(new Date()), 1000) return () => clearInterval(id) }, []) const clockLabel = now .toISOString() .slice(11, 19) /* HH:MM:SS in UTC */ + "Z" const hasAssistantReply = messages.some((m) => m.role === "assistant") const buildTranscript = useCallback(() => { const lines: string[] = [ `# Conversation`, "", activeAgent ? `**Persona:** ${activeAgent.name} — ${activeAgent.role}` : "", `**Date:** ${new Date().toISOString()}`, "", ].filter(Boolean) for (const m of messages) { lines.push(`### ${m.role === "user" ? "User" : "Assistant"}`) lines.push("") lines.push(m.content.trim()) lines.push("") } return lines.join("\n") }, [messages, activeAgent]) const copyMarkdown = useCallback(async () => { if (messages.length === 0) return try { await navigator.clipboard.writeText(buildTranscript()) } catch {} }, [buildTranscript, messages.length]) const exportMarkdown = useCallback(() => { if (messages.length === 0) return const md = buildTranscript() const blob = new Blob([md], { type: "text/markdown;charset=utf-8" }) const url = URL.createObjectURL(blob) const a = document.createElement("a") a.href = url const stamp = new Date().toISOString().replace(/[:.]/g, "-").slice(0, 19) a.download = `ai-${stamp}.md` a.click() URL.revokeObjectURL(url) }, [buildTranscript, messages.length]) const saveToLibrary = useCallback(() => { if (messages.length === 0) return const md = buildTranscript() addLibraryItem({ kind: "conversation", title: messages[0]?.content.slice(0, 60).replace(/\s+/g, " ").trim() || "AI conversation", content: md, tags: activeAgent ? [activeAgent.role.toLowerCase()] : [], agentName: activeAgent?.name, agentRole: activeAgent?.role, messageCount: messages.length, }) }, [buildTranscript, messages, activeAgent]) const regenerateLast = useCallback(() => { if (isStreaming) return let lastUserIdx = -1 for (let i = messages.length - 1; i >= 0; i--) { if (messages[i].role === "user") { lastUserIdx = i break } } if (lastUserIdx === -1) return const text = messages[lastUserIdx].content setMessages(messages.slice(0, lastUserIdx)) // Defer so the state flush completes before send() reads `messages`. setTimeout(() => void send(text, { tools: getOpenAITools() }), 0) }, [messages, setMessages, send, isStreaming]) const continueLast = useCallback(() => { if (isStreaming || messages.length === 0) return void send("Please continue your previous reply.", { tools: getOpenAITools() }) }, [isStreaming, messages.length, send]) const compactConversation = useCallback(async () => { if (compacting || isStreaming || messages.length < 2) return const transcript = messages .map( (m) => `${m.role === "user" ? "User" : "Assistant"}: ${m.content.trim()}`, ) .join("\n\n") const summarySystem = "You compress conversations. Output a tight 1–2 paragraph summary that preserves: user goals, key facts, names, decisions, file paths, code snippets, and unfinished tasks. Use third person ('the user wants X'). No commentary, no preamble, no markdown headings." try { const summary = await completeOneShot( [ { role: "system", content: summarySystem }, { role: "user", content: `Summarize this conversation:\n\n${transcript}`, }, ], { maxTokens: 800 }, ) // Snapshot first so Restore can undo. saveAISnapshot(messages as StoredMessage[]) setHasCompactSnapshot(true) setMessages([ { role: "assistant", content: `📋 **Conversation summary** (older turns compacted)\n\n${summary.trim()}`, }, ]) } catch {} }, [compacting, isStreaming, messages, completeOneShot, setMessages]) const restoreCompact = useCallback(() => { const snap = loadAISnapshot() if (!snap) return setMessages(snap) clearAISnapshot() setHasCompactSnapshot(false) }, [setMessages]) const endRef = useRef(null) const composerRef = useRef(null) const lastContent = messages.at(-1)?.content ?? "" // Track the composer's actual height so the auto-scroll sentinel can // keep the latest text ~24px above its top edge regardless of how many // lines the textarea has grown to. const [composerHeight, setComposerHeight] = useState(160) useEffect(() => { const el = composerRef.current if (!el || typeof ResizeObserver === "undefined") return const ro = new ResizeObserver(([entry]) => { if (entry) setComposerHeight(entry.contentRect.height) }) ro.observe(el) return () => ro.disconnect() }, []) // Auto-stick to the bottom only when the user is already near it. If they // scroll up to read earlier turns mid-stream, don't yank them back down. // The ref dodges React render cycles so scroll events feel instant. const stickRef = useRef(true) useEffect(() => { const onScroll = () => { const distFromBottom = document.documentElement.scrollHeight - (window.scrollY + window.innerHeight) stickRef.current = distFromBottom < 120 } window.addEventListener("scroll", onScroll, { passive: true }) onScroll() return () => window.removeEventListener("scroll", onScroll) }, []) useEffect(() => { if (!stickRef.current) return endRef.current?.scrollIntoView({ block: "end" }) }, [messages.length, lastContent, isStreaming]) const submit = useCallback(() => { const text = input.trim() if (!text || isStreaming) return setInput("") stickRef.current = true void send(text, { tools: getOpenAITools() }) }, [input, isStreaming, send]) const isEmpty = messages.length === 0 // Token estimate for the modeline. Cheap heuristic, adequate for // operator-glance display. const estTokensTotal = messages.reduce( (n, m) => n + Math.ceil((m.content?.length ?? 0) / 4), 0, ) const userTurns = messages.filter((m) => m.role === "user").length return (
{/* Session header — flight-recorder strip. Hidden in the empty state * because the empty state already shows session metadata. */} {!isEmpty && (
session {sessionLabel.split("-")[0]} · {sessionLabel.split("-")[1]}
)} {/* Empty state — flight-recorder card with staggered reveal */}
arcadia // operator console session {sessionLabel}

ATLAS.
standing by

{" "} Issue an instruction. Read tools run automatically. Writes pause for confirmation. Tab ⇥ for command palette.

{/* Messages — rendered when there are any. In empty state a flex-grow * spacer takes its place so the sticky-bottom composer lands at the * actual bottom of the surface (otherwise it'd sit at the top with * nothing above it, and the lift transform would push it off-screen). */} {isEmpty ? (