[V0_FILE]typescriptreact:file="app/components/spinning-logo.tsx" isQuickEdit="true" "use client" import Image from "next/image" export default function SpinningLogo() { return (

) } [V0_FILE]javascript:file="tailwind.config.js" /** @type {import('tailwindcss').Config} */ module.exports = { content: [ "./pages/**/*.{js,ts,jsx,tsx,mdx}", "./components/**/*.{js,ts,jsx,tsx,mdx}", "./app/**/*.{js,ts,jsx,tsx,mdx}", ], theme: { extend: { fontFamily: { mono: ["JetBrains Mono", "monospace"], }, animation: { "spin-slow": "spin 20s linear infinite", scan: "scan 8s linear infinite", }, keyframes: { scan: { "0%": { transform: "translateY(0)" }, "100%": { transform: "translateY(4px)" }, }, }, }, }, plugins: [], } [V0_FILE]typescriptreact:file="app/components/tag-input.tsx" 'use client' import React, { useState, KeyboardEvent } from 'react' import { X } from 'lucide-react' interface TagInputProps { placeholder: string className?: string } export function TagInput({ placeholder, className }: TagInputProps) { const [tags, setTags] = useState([]) const [input, setInput] = useState('') const addTag = (tag: string) => { if (tag && !tags.includes(tag)) { setTags([...tags, tag]) setInput('') } } const removeTag = (tagToRemove: string) => { setTags(tags.filter(tag => tag !== tagToRemove)) } const handleKeyDown = (e: KeyboardEvent) => { if (e.key === 'Enter' || e.key === ',') { e.preventDefault() addTag(input.trim()) } } return (

{tags.map(tag => ( {tag} ))} setInput(e.target.value)} onKeyDown={handleKeyDown} onBlur={() => addTag(input.trim())} placeholder={tags.length === 0 ? placeholder : ''} className="flex-grow bg-transparent focus:outline-none text-white placeholder:text-white/20" />

) } [V0_FILE]typescriptreact:file="app/components/ui/dialog.tsx" 'use client' import * as React from 'react' import * as DialogPrimitive from '@radix-ui/react-dialog' import { cn } from '@/lib/utils' const Dialog = DialogPrimitive.Root const DialogTrigger = DialogPrimitive.Trigger const DialogPortal = DialogPrimitive.Portal const DialogClose = DialogPrimitive.Close const DialogOverlay = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, ...props }, ref) => ( )) DialogOverlay.displayName = DialogPrimitive.Overlay.displayName const DialogContent = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, children, ...props }, ref) => ( {children} )) DialogContent.displayName = DialogPrimitive.Content.displayName const DialogHeader = ({ className, ...props }: React.HTMLAttributes) => (

) DialogHeader.displayName = 'DialogHeader' const DialogFooter = ({ className, ...props }: React.HTMLAttributes) => (

) DialogFooter.displayName = 'DialogFooter' const DialogTitle = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, ...props }, ref) => ( )) DialogTitle.displayName = DialogPrimitive.Title.displayName const DialogDescription = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef >(({ className, ...props }, ref) => ( )) DialogDescription.displayName = DialogPrimitive.Description.displayName export { Dialog, DialogPortal, DialogOverlay, DialogClose, DialogTrigger, DialogContent, DialogHeader, DialogFooter, DialogTitle, DialogDescription, } [V0_FILE]typescriptreact:file="app/components/agent-row.tsx" isQuickEdit="true" import { Button } from '@/components/ui/button' import { Network, MessageCircle, Users, TrendingUp, Hash, GitBranch, Zap } from 'lucide-react' import { motion } from 'framer-motion' import Link from 'next/link' interface Swarm { id: number name: string purpose: string status: string ipfsHash: string agentCount: number singularityProgress: number topicsExplored: string[] latestDiscovery: string } interface AgentRowProps { swarm: Swarm } export function AgentRow({ swarm }: AgentRowProps) { return (

{swarm.name}

{swarm.status}

{swarm.purpose}

IPFS: {swarm.ipfsHash}

{swarm.agentCount} agents

{swarm.topicsExplored.length} topics

Singularity: {swarm.singularityProgress}%

Evolving

Latest Discovery:

{swarm.latestDiscovery}

Topics:

{swarm.topicsExplored.map((topic, index) => ( {topic} ))}

) } [V0_FILE]typescriptreact:file="app/components/scroll-animated-agent.tsx" 'use client' import { useEffect, useRef } from 'react' import { motion, useAnimation, useInView } from 'framer-motion' import { AgentRow } from './agent-row' interface Swarm { id: number name: string purpose: string status: string ipfsHash: string agentCount: number singularityProgress: number topicsExplored: string[] latestDiscovery: string } interface ScrollAnimatedAgentProps { swarm: Swarm } export function ScrollAnimatedAgent({ swarm }: ScrollAnimatedAgentProps) { const ref = useRef(null) const isInView = useInView(ref, { once: true, amount: 0.2 }) const controls = useAnimation() useEffect(() => { if (isInView) { controls.start({ opacity: 1, y: 0 }) } }, [isInView, controls]) return ( ) } [V0_FILE]typescriptreact:file="app/components/animated-agent-grid.tsx" import { ScrollAnimatedAgent } from './scroll-animated-agent' interface Swarm { id: number name: string purpose: string status: string ipfsHash: string agentCount: number singularityProgress: number topicsExplored: string[] latestDiscovery: string } interface AnimatedAgentGridProps { swarms: Swarm[] } export function AnimatedAgentGrid({ swarms }: AnimatedAgentGridProps) { return (

{swarms.map((swarm) => ( ))}

) } [V0_FILE]typescriptreact:file="app/components/swarm-visualization.tsx" isQuickEdit="true" "use client" import { useEffect, useRef } from "react" import { motion } from "framer-motion" interface Swarm { id: number name: string singularityProgress: number } interface SwarmVisualizationProps { swarms: Swarm[] className?: string scale?: number } export function SwarmVisualization({ swarms, className, scale = 0.5 }: SwarmVisualizationProps) { const canvasRef = useRef(null) useEffect(() => { const animationSpeed = 0.5 const canvas = canvasRef.current if (!canvas) return const ctx = canvas.getContext("2d") if (!ctx) return const resizeCanvas = () => { canvas.width = canvas.offsetWidth canvas.height = canvas.offsetHeight } resizeCanvas() window.addEventListener("resize", resizeCanvas) const drawSwarm = (x: number, y: number, progress: number) => { const radius = (30 + progress / 3) * scale const particleCount = Math.floor((5 + Math.floor(progress / 5)) * scale) ctx.beginPath() ctx.arc(x, y, radius, 0, Math.PI * 2) ctx.fillStyle = `rgba(77, 255, 165, ${0.1 + progress / 200})` ctx.fill() for (let i = 0; i < particleCount; i++) { const angle = Math.random() * Math.PI * 2 const distance = Math.random() * radius const particleX = x + Math.cos(angle) * distance const particleY = y + Math.sin(angle) * distance ctx.beginPath() ctx.arc(particleX, particleY, 1 * scale, 0, Math.PI * 2) ctx.fillStyle = `rgba(77, 255, 165, ${0.3 + progress / 200})` ctx.fill() } } const animate = () => { ctx.clearRect(0, 0, canvas.width, canvas.height) swarms.forEach((swarm, index) => { const time = Date.now() * 0.001 * animationSpeed const x = (index + 1) * (canvas.width / (swarms.length + 1)) + Math.sin(time + index) * 20 const y = canvas.height / 2 + Math.cos(time + index) * 20 drawSwarm(x, y, swarm.singularityProgress) }) requestAnimationFrame(animate) } animate() return () => { window.removeEventListener("resize", resizeCanvas) } }, [swarms, scale]) return (

) } [V0_FILE]typescriptreact:file="app/agents/[id]/agent-chart.tsx" 'use client' import { Line, LineChart, XAxis, YAxis, Tooltip, ResponsiveContainer } from "recharts" import { Card } from "@/components/ui/card" import { ChartContainer, ChartTooltip, ChartTooltipContent } from "@/components/ui/chart" // Generate more volatile price data const generateVolatileData = () => { const data = [] let price = 0.06414 for (let i = 0; i < 48; i++) { // 2 days worth of hourly data // Add random volatility with occasional larger swings const volatility = Math.random() * 0.002 * (Math.random() > 0.8 ? 3 : 1) const direction = Math.random() > 0.5 ? 1 : -1 price = price + (volatility * direction) // Ensure price stays within reasonable bounds price = Math.max(0.05, Math.min(0.08, price)) data.push({ time: `${String(Math.floor(i % 24)).padStart(2, '0')}:00`, price: parseFloat(price.toFixed(5)) }) } return data } const data = generateVolatileData() export function AgentChart() { return ( `$${value.toFixed(5)}`} domain={['dataMin - 0.001', 'dataMax + 0.001']} /> } /> ) } [V0_FILE]typescriptreact:file="app/agents/[id]/page.tsx" "use client" import Image from "next/image" import Link from "next/link" import { Button } from "@/components/ui/button" import { Card } from "@/components/ui/card" import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs" import StarBackground from "@/app/components/star-background" import { Users, ThumbsUp, ThumbsDown, Copy, Twitter, MessageSquare, Send, Reply, Clock, Wallet, ArrowLeft, MessageCircle, } from "lucide-react" import { AgentChart } from "./agent-chart" import { useState } from "react" import { useRouter } from "next/navigation" export default function AgentProfile() { const [chartView, setChartView] = useState<"price" | "mcap">("price") const router = useRouter() const handleChatClick = () => { router.push("/chat/1") // Assuming the agent ID is 1 } return (

{/* Header Section */}

Zak

Price

$0.065250

Market Cap

$54.94M

24h Volume

$3.01M

Contract 7Vp4xcu...

Created by solanaondrugs

544 2499 12

{/* Features Section */}

{[ { icon: Twitter, label: "Twitter", unlocked: true }, { icon: MessageSquare, label: "Discord", unlocked: true }, { icon: Send, label: "Telegram", unlocked: true }, { icon: Reply, label: "Replies", unlocked: false, cost: "50,000" }, { icon: Clock, label: "Frequency", unlocked: false, cost: "50,000" }, { icon: Wallet, label: "Wallet", unlocked: false, cost: "200,000" }, ].map((feature, index) => (

{feature.label}

{feature.unlocked ? "On" : feature.cost ? `${feature.cost} SINGULAR` : "Off"}

))}

{/* Price/MCAP and Buy/Sell Section */}

{/* Chart Section */}

{/* Buy/Sell Section */} BUY SELL

SOL

Amount of tokens to buy

SOL

Amount of tokens to sell

{/* Proof of Agentic Execution Section */}

Proof of Agentic Execution

                {`[1736469739480] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f INIT->GOAL_PARSE: INIT_TWEET; sig(9756b082...0697f9a7 (512))
[1736469739481] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f GOAL_PARSE->PLANNING: RECALLING_PAST_TWEETS; sig(2821675f...48abc471 (512))
[1736469739524] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f PLANNING->EXECUTING: GENERATING_NEW_TWEET; sig(a1d719f8...bb3e3eb1 (512))
[1736470286006] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f EXECUTING->EXECUTING: PERSISTING_ON_IPFS; sig(49015e01...04a9ce3f (512))
[1736470287301] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f EXECUTING->EXECUTING: PERSISTING_TWEET_FRAME; sig(9c05e63f...3511e12f (512))
[1736470287303] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f EXECUTING->EXECUTING: SYTHESIZING_TWEET; sig(7bfc107f...0aa85c3d (512))
[1736470287305] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f EXECUTING->VALIDATING: AGENT_EXECUTION; sig(17d2df5d...3b6fdcc1 (512))
[1736470287306] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f VALIDATING->REPORTING: SHARING_ON_TWITTER; sig(7e384f92...e2cf17a5 (512))
[1736470287643] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f REPORTING->COMPLETED: TOPIC_RESEARCH; sig(67ebd01b...d7ee9f11 (512))
[1736470287645] SINGULAR_01 2c785cf8-dd01-49d3-b7dd-52f69963fc2f COMPLETED->IDLE: IDLE; sig(72f2dd0d...39697a4b (512))`}

) } [V0_FILE]typescriptreact:file="app/components/scan-lines.tsx" "use client" import { useEffect, useState } from "react" export function ScanLines() { const [mounted, setMounted] = useState(false) useEffect(() => { setMounted(true) }, []) if (!mounted) return null return (

) } [V0_FILE]typescriptreact:file="app/globals.css" isQuickEdit="true" @tailwind base; @tailwind components; @tailwind utilities; @layer base { :root { --font-mono: "JetBrains Mono", monospace; } html, body { @apply bg-black; font-family: var(--font-mono); -webkit-font-smoothing: antialiased; background-image: linear-gradient(to bottom, rgba(91, 33, 182, 0.05), rgba(91, 33, 182, 0.02)); } * { cursor: none !important; scrollbar-width: thin; scrollbar-color: rgba(77, 255, 165, 0.3) rgba(128, 90, 213, 0.1); } *::-webkit-scrollbar { width: 12px; } *::-webkit-scrollbar-thumb { background: linear-gradient(to bottom, rgba(77, 255, 165, 0.3), rgba(128, 90, 213, 0.3)); border: 2px solid transparent; border-radius: 6px; background-clip: padding-box; } *::-webkit-scrollbar-track { background: rgba(128, 90, 213, 0.1); } } /* Terminal Effects */ .terminal-glow { box-shadow: 0 0 10px rgba(77, 255, 165, 0.2), 0 0 20px rgba(77, 255, 165, 0.1), 0 0 30px rgba(77, 255, 165, 0.05), 0 0 10px rgba(128, 90, 213, 0.3), 0 0 20px rgba(128, 90, 213, 0.2), 0 0 30px rgba(128, 90, 213, 0.1); } .purple-text-glow { text-shadow: 0 0 5px rgba(168, 85, 247, 0.5), 0 0 10px rgba(168, 85, 247, 0.3); } .terminal-scanline { background: linear-gradient(to bottom, rgba(77, 255, 165, 0.02) 50%, rgba(128, 90, 213, 0.02) 50%); background-size: 100% 4px; pointer-events: none; } /* CRT Effect */ .crt-effect { position: relative; } .crt-effect::before { content: ""; position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: repeating-linear-gradient( 0deg, rgba(128, 90, 213, 0.1), rgba(128, 90, 213, 0.1) 1px, transparent 1px, transparent 2px ); pointer-events: none; z-index: 999; } .crt-effect::after { content: ""; position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: radial-gradient(circle at center, transparent 0%, rgba(128, 90, 213, 0.1) 100%); pointer-events: none; z-index: 998; } /* VHS Overlay Effect */ .vhs-overlay { background: linear-gradient(rgba(18, 16, 16, 0) 50%, rgba(0, 0, 0, 0.25) 50%), linear-gradient(90deg, rgba(255, 0, 0, 0.06), rgba(0, 255, 0, 0.02), rgba(0, 0, 255, 0.06)); background-size: 100% 2px, 3px 100%; opacity: 0.15; } /* Scan Lines Effect */ .scan-lines { background: linear-gradient(to bottom, transparent 50%, rgba(0, 0, 0, 0.5) 51%); background-size: 100% 4px; animation: scanlines 0.2s linear infinite; } @keyframes scanlines { 0% { background-position: 0 0; } 100% { background-position: 0 4px; } } /* VHS Flicker Effect */ @keyframes vhs-flicker { 0% { opacity: 0.93271; } 5% { opacity: 0.95537; } 10% { opacity: 0.92159; } 15% { opacity: 0.98721; } 20% { opacity: 0.93456; } 25% { opacity: 0.97023; } 30% { opacity: 0.95758; } 35% { opacity: 0.96456; } 40% { opacity: 0.98523; } 45% { opacity: 0.93852; } 50% { opacity: 0.97986; } 55% { opacity: 0.94872; } 60% { opacity: 0.96753; } 65% { opacity: 0.93567; } 70% { opacity: 0.98465; } 75% { opacity: 0.92357; } 80% { opacity: 0.97543; } 85% { opacity: 0.95673; } 90% { opacity: 0.98754; } 95% { opacity: 0.94325; } 100% { opacity: 0.96438; } } body::after { content: ""; position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: rgba(18, 16, 16, 0.1); opacity: 0; z-index: 9999; pointer-events: none; animation: vhs-flicker 0.15s infinite; } /* Enable scrolling on main content area */ .overflow-auto { overflow: auto !important; } [V0_FILE]typescriptreact:file="app/docs/page.tsx" import { Button } from "@/components/ui/button" import Link from "next/link" export default function DocsPage() { return (

Documentation

Getting Started

Welcome to the Singular AI Agents documentation. Here you'll find everything you need to know about creating, managing, and interacting with our advanced AI agents.

Key Concepts

Agent Swarms
Emergent Singularity
Time-Versioned Evolution
Decentralized Storage (IPFS)

API Reference

Explore our comprehensive API documentation to integrate Singular AI Agents into your projects.

Tutorials

Creating Your First Agent
Managing Agent Swarms
Advanced Agent Configuration

) } [V0_FILE]typescriptreact:file="app/profile/page.tsx" isQuickEdit="true" "use client" import { useState } from "react" import { Button } from "@/components/ui/button" import StarBackground from "@/app/components/star-background" import { User, Wallet, Zap, Settings, Twitter, GitBranch } from "lucide-react" import Image from "next/image" import Link from "next/link" interface Agent { id: number name: string purpose: string status: string marketCap: number twitterFollowers: number imageUrl: string } export default function ProfilePage() { const [isConnected, setIsConnected] = useState(true) const [profile, setProfile] = useState({ walletAddress: "0x1234...5678", joinDate: "May 2023", agentsCreated: 1, singularHoldings: 1234567, }) const [agents, setAgents] = useState([ { id: 1, name: "Zak", purpose: "Optimize DeFi strategies", status: "Evolving", marketCap: 54940000, twitterFollowers: 15200, imageUrl: "https://hebbkx1anhila5yf.public.blob.vercel-storage.com/Screenshot%202025-01-11%20at%208.35.58%E2%80%AFPM-iUwb0wzsfLsTDdpCplr9r0cTqwYnQG.png", }, ]) const handleConnect = () => { setIsConnected(true) } const handleSave = () => { // Here you would typically save the profile data to a backend } return (

Current Holdings

{profile.singularHoldings.toLocaleString()} SINGULAR

User Profile

Wallet: {profile.walletAddress}

Joined: {profile.joinDate}

{profile.agentsCreated}

Agents Created

Your Agents

{agents.map((agent) => (

{agent.name}

{agent.purpose}

{agent.status}

MCap: ${agent.marketCap.toLocaleString()} {agent.twitterFollowers.toLocaleString()}

))}

{agents.length === 0 &&

You haven't created any agents yet.

}

) } [V0_FILE]typescriptreact:file="app/components/creator-sidebar.tsx" isQuickEdit="true" "use client" import { Network, BookOpen, Cog, GitBranch, CheckCircle2, PlusCircle, Puzzle } from "lucide-react" const steps = [ { icon: PlusCircle, label: "Choose Template" }, { icon: Network, label: "Define Agent" }, { icon: BookOpen, label: "Set Knowledge" }, { icon: Cog, label: "Set Parameters" }, { icon: Puzzle, label: "Configure Modules" }, { icon: GitBranch, label: "Configure Evolution" }, { icon: CheckCircle2, label: "Review & Deploy" }, ] export function CreatorSidebar({ currentStep, setStep, showSteps, }: { currentStep: number; setStep: (step: number) => void; showSteps: boolean }) { return (

Create Agent

{showSteps && steps.map((step, index) => ( ))}

) } [V0_FILE]typescriptreact:file="app/agents/page.tsx" isQuickEdit="true" "use client" import { useState } from "react" import { Input } from "@/components/ui/input" import StarBackground from "../components/star-background" import { GitBranch, Search, Twitter, MessageCircle, Globe } from "lucide-react" import { motion } from "framer-motion" import Link from "next/link" import Image from "next/image" import { FullScreenChat } from "@/components/full-screen-chat" import { FullScreenWeb } from "@/components/full-screen-web" interface Agent { id: number name: string purpose: string status: string marketCap: number twitterFollowers: number imageUrl: string } const agents: Agent[] = [ { id: 1, name: "Zak", purpose: "...", status: "Evolving", marketCap: 54940000, twitterFollowers: 15200, imageUrl: "https://hebbkx1anhila5yf.public.blob.vercel-storage.com/Screenshot%202025-01-11%20at%208.35.58%E2%80%AFPM-iUwb0wzsfLsTDdpCplr9r0cTqwYnQG.png", }, ] export default function AgentsPage() { const [searchTerm, setSearchTerm] = useState("") const [selectedAgent, setSelectedAgent] = useState(null) const [showChat, setShowChat] = useState(false) const [showWeb, setShowWeb] = useState(false) const filteredAgents = agents.filter( (agent) => agent.name.toLowerCase().includes(searchTerm.toLowerCase()) || agent.purpose.toLowerCase().includes(searchTerm.toLowerCase()), ) const handleChatClick = (agent: Agent) => { setSelectedAgent(agent) setShowChat(true) } const handleWebClick = (agent: Agent) => { setSelectedAgent(agent) setShowWeb(true) } return (

{/* Main Content */}

AGENTS

setSearchTerm(e.target.value)} className="pl-10 pr-4 py-2 w-64 bg-gray-900/50 border-[#4DFFA5]/20 text-[#4DFFA5] placeholder-[#4DFFA5]/30 focus:border-[#4DFFA5]/40" />

{filteredAgents.map((agent) => (

{agent.name}

{agent.purpose}

{agent.status}

MCap: ${agent.marketCap.toLocaleString()} {agent.twitterFollowers.toLocaleString()}

))}

{filteredAgents.length === 0 && (

No agents found matching your search criteria.

)}

{selectedAgent && showChat && setShowChat(false)} />} {selectedAgent && showWeb && setShowWeb(false)} />}

) } [V0_FILE]typescriptreact:file="app/chat/[id]/page.tsx" "use client" import { useState, useEffect, useRef } from "react" import { Button } from "@/components/ui/button" import { Input } from "@/components/ui/input" import StarBackground from "@/app/components/star-background" import { ArrowLeft, Send } from "lucide-react" import Link from "next/link" import Image from "next/image" interface Message { id: number text: string sender: "user" | "agent" } export default function ChatPage({ params }: { params: { id: string } }) { const [messages, setMessages] = useState([]) const [inputMessage, setInputMessage] = useState("") const messagesEndRef = useRef(null) useEffect(() => { messagesEndRef.current?.scrollIntoView({ behavior: "smooth" }) }, [messages]) const handleSendMessage = () => { if (inputMessage.trim() === "") return const newMessage: Message = { id: messages.length + 1, text: inputMessage, sender: "user", } setMessages((prevMessages) => [...prevMessages, newMessage]) setInputMessage("") // Simulate agent response setTimeout(() => { const agentResponse: Message = { id: messages.length + 2, text: "This is a simulated response from the agent.", sender: "agent", } setMessages((prevMessages) => [...prevMessages, agentResponse]) }, 1000) } return (

{messages.map((message) => (

{message.text}

))}

setInputMessage(e.target.value)} onKeyPress={(e) => { if (e.key === "Enter") { handleSendMessage() } }} className="flex-grow bg-white/10 border-white/20 text-white placeholder:text-white/50" />

) } [V0_FILE]typescriptreact:file="components/full-screen-chat.tsx" "use client" import { useState, useEffect, useRef } from "react" import { Button } from "@/components/ui/button" import { Input } from "@/components/ui/input" import { X, Send } from "lucide-react" import Image from "next/image" interface Message { id: number text: string sender: "user" | "agent" } interface Agent { id: number name: string imageUrl: string } interface FullScreenChatProps { agent: Agent onClose: () => void } export function FullScreenChat({ agent, onClose }: FullScreenChatProps) { const [messages, setMessages] = useState([]) const [inputMessage, setInputMessage] = useState("") const messagesEndRef = useRef(null) useEffect(() => { messagesEndRef.current?.scrollIntoView({ behavior: "smooth" }) }, [messages]) const handleSendMessage = () => { if (inputMessage.trim() === "") return const newMessage: Message = { id: messages.length + 1, text: inputMessage, sender: "user", } setMessages((prevMessages) => [...prevMessages, newMessage]) setInputMessage("") // Simulate agent response setTimeout(() => { const agentResponse: Message = { id: messages.length + 2, text: "This is a simulated response from the agent.", sender: "agent", } setMessages((prevMessages) => [...prevMessages, agentResponse]) }, 1000) } return (

{agent.name}

{messages.map((message) => (

{message.text}

))}

setInputMessage(e.target.value)} onKeyPress={(e) => { if (e.key === "Enter") { handleSendMessage() } }} className="flex-grow bg-white/10 border-white/20 text-white placeholder:text-white/50" />

) } [V0_FILE]typescriptreact:file="components/full-screen-web.tsx" "use client" import { useState } from "react" import { Button } from "@/components/ui/button" import { X, RefreshCw } from "lucide-react" import Image from "next/image" interface Agent { id: number name: string imageUrl: string } interface FullScreenWebProps { agent: Agent onClose: () => void } export function FullScreenWeb({ agent, onClose }: FullScreenWebProps) { const [isLoading, setIsLoading] = useState(false) const handleRefresh = () => { setIsLoading(true) // Simulate refreshing the web view setTimeout(() => { setIsLoading(false) }, 1000) } return (

{swarm.name}

Latest Discovery:

Topics:

Zak

Proof of Agentic Execution

Documentation

Getting Started

Key Concepts

API Reference

Tutorials

Current Holdings

User Profile

Your Agents

{agent.name}

Create Agent

AGENTS

{agent.name}

{agent.name}

{agent.name} - Web Interface