import { useEffect, useMemo, useRef, useState } from "react" import { Activity, ArrowUp, BrainCircuit, CircleStop, Cpu, Feather, KeyRound, Link2, LoaderCircle, MessageSquareText, RefreshCw, SlidersHorizontal, Trash2, } from "lucide-react" import { Badge } from "@/components/ui/badge" import { Button } from "@/components/ui/button" import { Input } from "@/components/ui/input" import { Textarea } from "@/components/ui/textarea" import { listModels, streamChat, type ChatMessage } from "@/lib/api" import { cn } from "@/lib/utils" const stored = (key: string, fallback: string) => localStorage.getItem(key) || fallback const message = (role: ChatMessage["role"], content: string): ChatMessage => ({ id: crypto.randomUUID(), role, content }) export default function App() { const [baseUrl, setBaseUrl] = useState(() => stored("colibri.baseUrl", "http://127.0.0.1:8000/v1")) const [apiKey, setApiKey] = useState(() => stored("colibri.apiKey", "")) const [models, setModels] = useState([]) const [model, setModel] = useState(() => stored("colibri.model", "glm-5.2-colibri")) const [temperature, setTemperature] = useState(0.7) const [maxTokens, setMaxTokens] = useState(512) const [thinking, setThinking] = useState(false) const [messages, setMessages] = useState([]) const [draft, setDraft] = useState("") const [loading, setLoading] = useState(false) const [connecting, setConnecting] = useState(false) const [connected, setConnected] = useState(false) const [error, setError] = useState("") const abortRef = useRef(null) const bottomRef = useRef(null) useEffect(() => { localStorage.setItem("colibri.baseUrl", baseUrl) localStorage.setItem("colibri.apiKey", apiKey) localStorage.setItem("colibri.model", model) }, [apiKey, baseUrl, model]) useEffect(() => bottomRef.current?.scrollIntoView({ behavior: "smooth" }), [messages]) const connect = async () => { setConnecting(true) setError("") try { const found = await listModels(baseUrl, apiKey) setModels(found) if (found.length && !found.includes(model)) setModel(found[0]) setConnected(true) } catch (cause) { setConnected(false) setError(cause instanceof Error ? cause.message : "Could not reach the server.") } finally { setConnecting(false) } } const canSend = useMemo(() => draft.trim() && model && !loading, [draft, loading, model]) const send = async () => { const content = draft.trim() if (!content || loading) return const user = message("user", content) const assistant = message("assistant", "") const history = [...messages, user] setDraft("") setError("") setMessages([...history, assistant]) setLoading(true) const controller = new AbortController() abortRef.current = controller try { await streamChat({ baseUrl, apiKey, model, messages: history, temperature, maxTokens, enableThinking: thinking, signal: controller.signal, onDelta: (delta) => setMessages((current) => current.map((item) => item.id === assistant.id ? { ...item, content: item.content + delta } : item, )), }) setConnected(true) } catch (cause) { if (controller.signal.aborted) { setMessages((current) => current.filter((item) => item.id !== assistant.id || item.content)) } else { setError(cause instanceof Error ? cause.message : "Generation failed.") setMessages((current) => current.filter((item) => item.id !== assistant.id || item.content)) } } finally { abortRef.current = null setLoading(false) } } return (
ACTIVE MODEL{model}
stream
{!messages.length ? (
COLIBRÌ ENGINE

Ask the giant.
Keep the machine yours.

Connect to a local colibrì server and stream responses directly from your hardware. Nothing leaves the endpoint you choose.

{["Explain how expert routing works", "Write a small C benchmark", "Compare RAM and VRAM caching"].map((item) => )}
) : (
{messages.map((item) => (
{item.role === "user" ? "Y" : }
{item.role === "user" ? "You" : "colibrì"}
{item.content || }
))}
)}
{error &&
{error}
}