import { useCallback, useEffect, useMemo, useRef, useState, } from "react" import { createPortal } from "react-dom" import { Archive, ArrowRight, BookmarkPlus, ChevronDown, Command as CommandIcon, Copy, Download, FileText, Loader2, Mic, MicOff, Plus, RefreshCw, RotateCcw, Sparkles, 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 { useToast } from "@crema/notification-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" // Shape of a single hit returned by the `search_docs` tool. Defined here // rather than imported from the lib because the tool wrapper in // admin-tools.ts intentionally collapses the lib's `tags[]` back to a // single `category` for tool-response stability — this type matches // what the model actually sees. type DocHit = { id: string title: string sourcePath: string category: string excerpt: string score: number } 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 { loadActiveReasoning, saveActiveReasoning, subscribeActiveReasoning, type ReasoningEffort, } from "~/lib/arcadia/llm-configs" 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}
} // Trigger a server-side rebuild of an arcadia-search corpus. Reads the // same KB URL + token resolution as the search_kb tool (see admin-tools.ts). // Surfaces success/failure via the existing toast provider. async function reindexKB( corpus: string, toast: ReturnType, ): Promise { const baseUrl = (typeof window !== "undefined" && (window as unknown as { __ARCADIA_SEARCH_URL?: string }).__ARCADIA_SEARCH_URL) || "http://127.0.0.1:7800" const token = (typeof window !== "undefined" && window.sessionStorage.getItem("arcadia_access_token")) || "dev" const url = `${baseUrl}/index/${encodeURIComponent(corpus)}/build` toast.show?.({ title: "Reindexing…", description: `Rebuilding corpus '${corpus}'.`, }) try { const res = await fetch(url, { method: "POST", headers: { Authorization: `Bearer ${token}` }, }) if (!res.ok) { throw new Error(`HTTP ${res.status}: ${await res.text()}`) } const out = (await res.json()) as { chunk_count: number; built_at: string } toast.show?.({ title: "Reindex complete", description: `${out.chunk_count} chunks indexed for '${corpus}'.`, }) } catch (err) { toast.show?.({ title: "Reindex failed", description: err instanceof Error ? err.message : String(err), tone: "error", }) } } // Synthetic assistant message that exercises every typed rich-output block. // Wired to the "preview rich-output blocks" button in the empty state — used // to eyeball renderer + theme without driving a live model. Safe to delete // once Phase 2 has been validated end-to-end. const BLOCK_SAMPLES_CONTENT = `Here's one example of every rich-output block, in roughly the order a model would emit them. A **kpi** strip for headline numbers: \`\`\`kpi { "items": [ { "label": "Tenants", "value": 42 }, { "label": "Active users", "value": 318, "unit": "/day" }, { "label": "Suspended", "value": 4 }, { "label": "Storage", "value": "1.2", "unit": "TB" } ] } \`\`\` A **table** for tabular data: \`\`\`table { "columns": [ { "id": "slug", "header": "Tenant" }, { "id": "users", "header": "Users", "align": "right" }, { "id": "status", "header": "Status" } ], "rows": [ { "slug": "acme", "users": 42, "status": "active" }, { "slug": "globex", "users": 18, "status": "suspended" }, { "slug": "initech", "users": 73, "status": "active" } ], "idKey": "slug" } \`\`\` A **chart-bar** for category comparison and a **chart-line** for a trend: \`\`\`chart-bar { "title": "Users by tenant", "data": [ { "label": "acme", "value": 42 }, { "label": "globex", "value": 18 }, { "label": "initech", "value": 73 }, { "label": "umbrella", "value": 11 } ] } \`\`\` \`\`\`chart-line { "title": "Signups over time", "series": [ { "x": 1, "y": 12 }, { "x": 2, "y": 19 }, { "x": 3, "y": 24 }, { "x": 4, "y": 31 }, { "x": 5, "y": 28 }, { "x": 6, "y": 42 } ] } \`\`\` A **chart-donut** for part-to-whole and a **chart-spark** inline: \`\`\`chart-donut { "title": "Status breakdown", "data": [ { "label": "active", "value": 38 }, { "label": "suspended", "value": 4 }, { "label": "deactivated", "value": 2 } ] } \`\`\` \`\`\`chart-spark { "values": [3, 5, 4, 8, 12, 9, 14, 11, 18, 16, 22] } \`\`\` A **code** block and a **diff**: \`\`\`code { "code": "SELECT slug, count(*) AS users\\nFROM tenants t\\nJOIN users u ON u.tenant_id = t.id\\nWHERE t.status = 'active'\\nGROUP BY slug\\nORDER BY users DESC;", "language": "sql", "title": "Active tenants by user count", "lineNumbers": true } \`\`\` \`\`\`diff { "oldCode": "max_users: 100\\nplan: free\\n", "newCode": "max_users: 250\\nplan: pro\\n", "language": "yaml", "title": "Tenant quota change", "mode": "unified" } \`\`\` A **flowchart** for control flow and an **orgchart** for hierarchy: \`\`\`flowchart { "nodes": [ { "id": "a", "type": "start", "label": "Receive request", "x": 80, "y": 20 }, { "id": "b", "type": "process", "label": "Validate token", "x": 80, "y": 110 }, { "id": "c", "type": "decision", "label": "Token valid?", "x": 80, "y": 200 }, { "id": "d", "type": "process", "label": "Process", "x": 260, "y": 200 }, { "id": "e", "type": "end", "label": "Reject (401)", "x": 80, "y": 310 } ], "edges": [ { "from": "a", "to": "b" }, { "from": "b", "to": "c" }, { "from": "c", "to": "d", "label": "yes" }, { "from": "c", "to": "e", "label": "no" } ] } \`\`\` \`\`\`orgchart { "data": { "id": "root", "name": "Platform", "title": "Tenant", "children": [ { "id": "a", "name": "Auth", "title": "Service", "children": [ { "id": "a1", "name": "Sessions", "title": "Module" }, { "id": "a2", "name": "MFA", "title": "Module" } ] }, { "id": "b", "name": "Billing", "title": "Service", "children": [ { "id": "b1", "name": "Invoices", "title": "Module" } ] } ] } } \`\`\` A **steps** trail for a multi-step plan: \`\`\`steps { "steps": [ { "id": "1", "title": "List tenants", "status": "done", "detail": "Found 42 tenants" }, { "id": "2", "title": "Filter suspended", "status": "running" }, { "id": "3", "title": "Build report", "status": "queued" }, { "id": "4", "title": "Email summary", "status": "queued" } ] } \`\`\` A **welcome** hero, a **checklist**, and a **hint**: \`\`\`welcome { "title": "Welcome to Arcadia Admin", "description": "Manage tenants, users, and platform settings from one place.", "badge": "v2", "primaryAction": { "label": "Create your first tenant", "href": "/tenants" }, "secondaryAction": { "label": "Read the docs", "href": "/library" } } \`\`\` \`\`\`checklist { "title": "Get started", "description": "Finish setting up your tenant.", "tasks": [ { "id": "1", "title": "Invite your team", "description": "Add at least one admin.", "completed": true, "estimate": "2 min" }, { "id": "2", "title": "Connect a storage bucket", "completed": false, "href": "/buckets", "estimate": "5 min" }, { "id": "3", "title": "Set up SSO", "completed": false, "optional": true, "href": "/sso", "estimate": "10 min" } ] } \`\`\` \`\`\`hint { "title": "Tip", "tone": "info", "body": "Suspending a tenant blocks login but preserves data — use deactivate to permanently disable.", "action": { "label": "See suspension docs", "href": "/library?q=suspend" } } \`\`\` And the legacy **card** kinds — pill, stat, callout: \`\`\`card { "kind": "pill", "status": "active", "label": "active" } \`\`\` \`\`\`card { "kind": "stat", "label": "MRR", "value": "$12.4k" } \`\`\` \`\`\`card { "kind": "callout", "tone": "warning", "title": "Heads up", "body": "Suspending a tenant blocks all of its users immediately." } \`\`\` Clear the conversation to dismiss the preview.` 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. } } /* Per-message agent attribution + the set of agents that have produced * turns in the current conversation. Persisted alongside LIVE_KEY so a * reload mid-thread preserves both who-said-what and the hand-off note * the next turn carries. * * Stored as plain JSON shapes (Maps don't serialize): * AGENTS_KEY: Array<[agentId, Agent]> ← agentHistory * MSG_AGENTS_KEY: Array<[index, Agent]> ← messageAgents */ const AGENTS_KEY = "crema.ai.agent-history" const MSG_AGENTS_KEY = "crema.ai.message-agents" function loadAgentHistory(): Map { if (typeof window === "undefined") return new Map() try { const raw = localStorage.getItem(AGENTS_KEY) if (!raw) return new Map() const parsed = JSON.parse(raw) if (Array.isArray(parsed)) return new Map(parsed as [string, Agent][]) } catch {} return new Map() } function saveAgentHistory(m: Map) { if (typeof window === "undefined") return if (m.size === 0) { localStorage.removeItem(AGENTS_KEY) return } try { localStorage.setItem(AGENTS_KEY, JSON.stringify([...m.entries()])) } catch {} } function loadMessageAgents(): Map { if (typeof window === "undefined") return new Map() try { const raw = localStorage.getItem(MSG_AGENTS_KEY) if (!raw) return new Map() const parsed = JSON.parse(raw) if (Array.isArray(parsed)) return new Map(parsed as [number, Agent][]) } catch {} return new Map() } function saveMessageAgents(m: Map) { if (typeof window === "undefined") return if (m.size === 0) { localStorage.removeItem(MSG_AGENTS_KEY) return } try { localStorage.setItem(MSG_AGENTS_KEY, JSON.stringify([...m.entries()])) } catch {} } function clearAgentMaps() { if (typeof window === "undefined") return localStorage.removeItem(AGENTS_KEY) localStorage.removeItem(MSG_AGENTS_KEY) } function clearLive() { if (typeof window === "undefined") return localStorage.removeItem(LIVE_KEY) } /* Per-conversation reasoning override. Cycle order matters — the composer * chip walks this array. Storage helpers (load/save/subscribe) live in * lib/arcadia/llm-configs.ts so the settings panel and the /ai composer * coordinate via the same crema.ai.reasoning key. */ const REASONING_LEVELS: ReasoningEffort[] = ["off", "low", "medium", "high", "max"] function withReasoning>( extras: T, effort: ReasoningEffort, ): T & { reasoning_effort?: string } { if (effort === "off") return extras return { ...extras, reasoning_effort: effort } } 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. // Both maps are seeded from localStorage so a reload mid-thread keeps // attribution + hand-off context intact. Persisted on every change via // the effect lower down, cleared together with the live snapshot. const [agentHistory, setAgentHistory] = useState>( () => loadAgentHistory(), ) 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. const [messageAgents, setMessageAgents] = useState>( () => loadMessageAgents(), ) // Persist whenever either map changes. useEffect(() => { saveAgentHistory(agentHistory) }, [agentHistory]) useEffect(() => { saveMessageAgents(messageAgents) }, [messageAgents]) // 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() clearAgentMaps() setMessages([]) setAgentHistory(new Map()) setMessageAgents(new Map()) // Keep reasoningEffort as-is. It's bound to the active config's // default (set when the operator stars a config in Settings) and // resetting it would silently undo their intent on every clear. }, [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) // Mirror of reasoningEffort state, kept current via the effect below so // regenerate/continue callbacks (declared before the state hook) can // read the latest value without becoming reasoningEffort dependents. const reasoningEffortRef = useRef("off") // 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(`### ${m.role === "user" ? "User" : "Assistant"}`) lines.push("") lines.push(m.content.trim()) lines.push("") } return lines.join("\n") }, [messages, activeAgent]) const toast = useToast() const copyMarkdown = useCallback(async () => { if (messages.length === 0) return try { await navigator.clipboard.writeText(buildTranscript()) toast.success("Copied as Markdown", { description: `${messages.length} message${messages.length === 1 ? "" : "s"} on the clipboard.`, }) } catch { toast.error("Couldn't copy", { description: "Clipboard access was blocked.", }) } }, [buildTranscript, messages.length, toast]) const exportMarkdown = useCallback(() => { if (messages.length === 0) return const md = buildTranscript() const blob = new Blob([md], { type: "text/markdown;charset=utf-8" }) const url = URL.createObjectURL(blob) const a = document.createElement("a") a.href = url const stamp = new Date().toISOString().replace(/[:.]/g, "-").slice(0, 19) const filename = `ai-${stamp}.md` a.download = filename a.click() URL.revokeObjectURL(url) toast.success("Exported transcript", { description: filename }) }, [buildTranscript, messages.length, toast]) const saveToLibrary = useCallback(() => { if (messages.length === 0) return const md = buildTranscript() const title = messages[0]?.content.slice(0, 60).replace(/\s+/g, " ").trim() || "AI conversation" addLibraryItem({ kind: "conversation", title, content: md, tags: activeAgent ? [activeAgent.role.toLowerCase()] : [], agentName: activeAgent?.name, agentRole: activeAgent?.role, messageCount: messages.length, }) toast.success("Saved to Library", { description: title }) }, [buildTranscript, messages, activeAgent, toast]) 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, withReasoning({ tools: getOpenAITools() }, reasoningEffortRef.current)), 0, ) }, [messages, setMessages, send, isStreaming]) const continueLast = useCallback(() => { if (isStreaming || messages.length === 0) return void send( "Please continue your previous reply.", withReasoning({ tools: getOpenAITools() }, reasoningEffortRef.current), ) }, [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]) // Per-conversation reasoning override. Persists across page reloads via // localStorage so the operator's chosen level survives a refresh, but // resets when they clear the conversation. "off" = pass nothing through. // Initialize from the shared key (settings panel writes this when the // operator stars a config), persist on change, and live-subscribe so a // star action in another tab/route updates the chip without a refresh. const [reasoningEffort, setReasoningEffort] = useState( () => loadActiveReasoning(), ) useEffect(() => { saveActiveReasoning(reasoningEffort) reasoningEffortRef.current = reasoningEffort }, [reasoningEffort]) useEffect(() => { return subscribeActiveReasoning((next) => { // Don't loop on our own writes — we already wrote `reasoningEffort` // when it changed. Only pick up writes that disagree with state. setReasoningEffort((cur) => (cur === next ? cur : next)) }) }, []) const cycleReasoning = useCallback(() => { setReasoningEffort((cur) => { const idx = REASONING_LEVELS.indexOf(cur) return REASONING_LEVELS[(idx + 1) % REASONING_LEVELS.length] }) }, []) const submit = useCallback(() => { const text = input.trim() if (!text || isStreaming) return setInput("") stickRef.current = true void send(text, withReasoning({ tools: getOpenAITools() }, reasoningEffort)) }, [input, isStreaming, send, reasoningEffort]) 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 ? (