Implementation:EvolvingLMMs Lab Lmms eval TUI App Component

Knowledge Sources	EvolvingLMMs_Lab_Lmms_eval
Domains	Web_UI, Evaluation, Frontend
Last Updated	2026-02-14 00:00 GMT

Overview

The TUI App Component (/tmp/kapso_repo_sslb_59s/lmms_eval/tui/web/src/App.tsx) is the main React component for the LMMs-Eval web interface. This 913-line TypeScript/React implementation provides a complete browser-based UI for configuring and running evaluations with real-time output streaming.

The interface features model/task selection, parameter configuration, command preview, and live log monitoring.

File Location

/tmp/kapso_repo_sslb_59s/lmms_eval/tui/web/src/App.tsx

Key Components

Custom Syntax Highlighting

const SHELL_KEYWORDS = new Set([
  'export', 'python', 'python3', 'uv', 'pip', 'node', 'npm', 'git',
  'cd', 'ls', 'echo', 'rm', 'mkdir', 'touch', 'alias', 'source', 'env'
])

const ANSI_COLORS: Record<string, string> = {
  '30': 'text-neutral-900',
  '31': 'text-red-600',
  '32': 'text-green-600',
  // ... more color mappings
}

function highlightShell(code: string) {
  const tokens: any[] = []
  let remaining = code
  let i = 0

  while (remaining.length > 0) {
    // Match comments
    let match = remaining.match(/^#.*/)
    if (match) {
      tokens.push(<span key={i++} className="text-neutral-400 italic">{match[0]}</span>)
      remaining = remaining.slice(match[0].length)
      continue
    }

    // Match strings
    match = remaining.match(/^(['"])(?:(?!\1)[^\\]|\\.)*\1/)
    if (match) {
      tokens.push(<span key={i++} className="text-neutral-900 bg-neutral-100/50 rounded-[1px]">{match[0]}</span>)
      remaining = remaining.slice(match[0].length)
      continue
    }

    // Match variables
    match = remaining.match(/^(\$[a-zA-Z_][a-zA-Z0-9_]*|\$\{[^}]+\})/)
    if (match) {
      tokens.push(<span key={i++} className="text-neutral-800 font-medium">{match[0]}</span>)
      remaining = remaining.slice(match[0].length)
      continue
    }

    // Match flags
    match = remaining.match(/^(-+[a-zA-Z0-9_-]+)/)
    if (match) {
      tokens.push(<span key={i++} className="text-neutral-500 font-medium">{match[0]}</span>)
      remaining = remaining.slice(match[0].length)
      continue
    }

    // Match operators
    match = remaining.match(/^[=&|;>]/)
    if (match) {
      tokens.push(<span key={i++} className="text-neutral-400 font-bold px-[1px]">{match[0]}</span>)
      remaining = remaining.slice(match[0].length)
      continue
    }

    // Match whitespace
    match = remaining.match(/^\s+/)
    if (match) {
      tokens.push(<span key={i++}>{match[0]}</span>)
      remaining = remaining.slice(match[0].length)
      continue
    }

    // Match words
    match = remaining.match(/^[^\s#$'"=&|;>-]+/)
    if (match) {
      const word = match[0]
      if (SHELL_KEYWORDS.has(word)) {
        tokens.push(<span key={i++} className="text-neutral-700 font-bold">{word}</span>)
      } else {
        tokens.push(<span key={i++} className="text-neutral-600">{word}</span>)
      }
      remaining = remaining.slice(word.length)
      continue
    }

    tokens.push(<span key={i++}>{remaining[0]}</span>)
    remaining = remaining.slice(1)
  }

  return tokens
}

The shell highlighter uses regex-based tokenization to identify:

Comments (#...)
Strings (single/double quoted)
Variables ($VAR, ${VAR})
Flags (--flag, -f)
Operators (=, &, |, ;, >)
Keywords (export, python, etc.)

function highlightLog(line: string) {
  const ansiRegex = /(?:\x1b)?\[([0-9;]+)m/g

  const parts: any[] = []
  let lastIndex = 0
  let currentStyle = 'text-neutral-600'
  let isBold = false
  let i = 0

  let match
  while ((match = ansiRegex.exec(line)) !== null) {
    if (match.index > lastIndex) {
      const text = line.slice(lastIndex, match.index)
      const className = `${currentStyle}${isBold ? ' font-semibold' : ''}`
      parts.push(<span key={i++} className={className}>{text}</span>)
    }

    const codes = match[1].split(';')
    for (const code of codes) {
      if (code === '0') {
        currentStyle = 'text-neutral-600'
        isBold = false
      } else if (code === '1') {
        isBold = true
      } else if (ANSI_COLORS[code]) {
        currentStyle = ANSI_COLORS[code]
      }
    }

    lastIndex = ansiRegex.lastIndex
  }

  if (lastIndex < line.length) {
    const text = line.slice(lastIndex)
    const className = `${currentStyle}${isBold ? ' font-semibold' : ''}`
    parts.push(<span key={i++} className={className}>{text}</span>)
  }

  return parts.length > 0 ? parts : line
}

The ANSI highlighter parses escape sequences:

Extracts color codes from \x1b[...m patterns
Tracks current style and bold state
Applies corresponding CSS classes
Handles reset codes (0) and bold (1)

ShellEditor Component

interface ShellEditorProps {
  value: string
  onChange: (value: string) => void
  placeholder?: string
  className?: string
}

function ShellEditor({ value, onChange, placeholder, className = '' }: ShellEditorProps) {
  const textareaRef = useRef<HTMLTextAreaElement>(null)
  const preRef = useRef<HTMLPreElement>(null)

  const handleScroll = () => {
    if (textareaRef.current && preRef.current) {
      preRef.current.scrollTop = textareaRef.current.scrollTop
      preRef.current.scrollLeft = textareaRef.current.scrollLeft
    }
  }

  return (
    <div className={`relative group bg-white border border-neutral-200 transition-colors focus-within:border-black overflow-hidden ${className}`}>
      <pre
        ref={preRef}
        className="absolute inset-0 px-3 py-2 text-xs font-mono leading-relaxed whitespace-pre pointer-events-none overflow-hidden text-transparent"
        style={{ fontFamily: 'monospace' }}
        aria-hidden="true"
      >
        {value ? highlightShell(value) : <span className="text-neutral-300 italic">{placeholder}</span>}
        <br />
      </pre>

      <textarea
        ref={textareaRef}
        value={value}
        onChange={e => onChange(e.target.value)}
        onScroll={handleScroll}
        placeholder={placeholder}
        className="relative z-10 w-full h-full bg-transparent text-transparent caret-black px-3 py-2 text-xs font-mono leading-relaxed resize-none focus:outline-none whitespace-pre overflow-auto scrollbar-thin scrollbar-thumb-neutral-200 scrollbar-track-transparent"
        style={{ fontFamily: 'monospace' }}
        spellCheck={false}
        autoCapitalize="off"
        autoComplete="off"
      />
    </div>
  )
}

ShellEditor implementation:

Overlay pattern:
```
 for highlighting, <textarea> for input
```
Textarea is transparent with visible caret
Pre element renders highlighted version
Synchronized scrolling via onScroll handler
Both elements have identical padding, font, and sizing

Custom Select Component

interface SelectProps {
  value: string
  onChange: (value: string) => void
  options: { value: string; label: string }[]
  placeholder?: string
}

function Select({ value, onChange, options, placeholder }: SelectProps) {
  const [open, setOpen] = useState(false)
  const [search, setSearch] = useState('')
  const ref = useRef<HTMLDivElement>(null)

  useEffect(() => {
    const handleClickOutside = (e: MouseEvent) => {
      if (ref.current && !ref.current.contains(e.target as Node)) {
        setOpen(false)
      }
    }
    document.addEventListener('mousedown', handleClickOutside)
    return () => document.removeEventListener('mousedown', handleClickOutside)
  }, [])

  useEffect(() => {
    if (open) {
      setSearch('')
    }
  }, [open])

  const selectedOption = options.find(o => o.value === value)

  const filteredOptions = options.filter(o =>
    o.label.toLowerCase().includes(search.toLowerCase()) ||
    o.value.toLowerCase().includes(search.toLowerCase())
  )

  return (
    <div ref={ref} className="relative">
      <button
        type="button"
        onClick={() => setOpen(!open)}
        className="w-full flex items-center justify-between bg-white border border-neutral-200 px-3 py-2 text-xs font-mono focus:border-black focus:outline-none transition-colors text-left text-neutral-600 hover:border-neutral-300"
      >
        <span className={selectedOption ? 'text-neutral-600' : 'text-neutral-400'}>
          {selectedOption?.label || placeholder || 'Select...'}
        </span>
        <span className={`text-[10px] text-neutral-400 transition-transform ${open ? 'rotate-180' : ''}`}>▼</span>
      </button>
      {open && (
        <div className="absolute z-50 left-0 right-0 mt-1 bg-white border border-neutral-200 shadow-lg max-h-60 overflow-hidden flex flex-col">
          <div className="p-2 border-b border-neutral-100">
            <input
              autoFocus
              value={search}
              onChange={e => setSearch(e.target.value)}
              onClick={e => e.stopPropagation()}
              placeholder="Search..."
              className="w-full text-xs font-mono px-2 py-1 bg-neutral-50 border border-neutral-200 text-neutral-600 focus:border-black focus:outline-none"
            />
          </div>
          <div className="overflow-auto">
            {filteredOptions.length > 0 ? (
              filteredOptions.map(option => (
                <div
                  key={option.value}
                  onClick={() => {
                    onChange(option.value)
                    setOpen(false)
                  }}
                  className={`px-3 py-2 text-xs font-mono cursor-pointer transition-colors ${
                    option.value === value
                      ? 'bg-black text-white'
                      : 'text-neutral-600 hover:bg-neutral-50'
                  }`}
                >
                  {option.label}
                </div>
              ))
            ) : (
              <div className="px-3 py-2 text-xs text-neutral-400 italic">No matches found</div>
            )}
          </div>
        </div>
      )}
    </div>
  )
}

Select component features:

Click-outside detection to close dropdown
Searchable via input field
Filters by label or value
Auto-focus search on open
Keyboard-accessible
Visual indication of selected item

Task Tree Structure

type TaskNode =
  | { type: 'group', id: string, label: string, children: TaskInfo[] }
  | { type: 'leaf', task: TaskInfo }

const visibleNodes = useMemo(() => {
  const nodes: TaskNode[] = []

  const allGroups = tasks.filter(t => t.group)
  const allLeaves = tasks.filter(t => !t.group)

  const filteredLeaves = allLeaves.filter(t =>
    t.id.toLowerCase().includes(taskFilter.toLowerCase()) ||
    t.name.toLowerCase().includes(taskFilter.toLowerCase())
  )

  const groupChildrenMap = new Map<string, TaskInfo[]>()
  const assignedLeafIds = new Set<string>()

  for (const group of allGroups) {
    const children = filteredLeaves.filter(leaf =>
      leaf.id.startsWith(`${group.id}_`) || leaf.id.startsWith(`${group.id}-`)
    )

    if (children.length > 0) {
      groupChildrenMap.set(group.id, children)
      children.forEach(c => assignedLeafIds.add(c.id))
      nodes.push({
        type: 'group',
        id: group.id,
        label: group.id,
        children: children
      })
    }
  }

  const topLevelLeaves = filteredLeaves.filter(leaf => !assignedLeafIds.has(leaf.id))
  topLevelLeaves.forEach(leaf => {
    nodes.push({ type: 'leaf', task: leaf })
  })

  nodes.sort((a, b) => {
    const idA = a.type === 'group' ? a.id : a.task.id
    const idB = b.type === 'group' ? b.id : b.task.id
    return idA.localeCompare(idB)
  })

  return nodes
}, [tasks, taskFilter])

Task tree computation: 1. Separate groups from leaf tasks 2. Filter leaves by search term 3. Assign leaves to groups based on prefix matching (group_task or group-task) 4. Track assigned leaves to avoid duplication 5. Add ungrouped leaves as top-level nodes 6. Sort alphabetically

This is memoized to avoid recalculation on every render.

Main App Component

export default function App() {
  const [version, setVersion] = useState('...')
  const [gitInfo, setGitInfo] = useState<GitInfo>({ branch: '', commit: '' })
  const [sysInfo, setSysInfo] = useState<SysInfo>({ hostname: '', cwd: '' })
  const [models, setModels] = useState<ModelInfo[]>([])
  const [tasks, setTasks] = useState<TaskInfo[]>([])

  const [model, setModel] = useState('openai_compatible')
  const [modelArgs, setModelArgs] = useState('model_version=allenai/molmo-2-8b:free')
  const [envVars, setEnvVars] = useState(
    'export HF_HOME=${HF_HOME:-~/.cache/huggingface}\n' +
      'export OPENAI_API_KEY=${OPENROUTER_API_KEY}\n' +
      'export OPENAI_API_BASE=https://openrouter.ai/api/v1'
  )
  const [selectedTasks, setSelectedTasks] = useState<Set<string>>(new Set(['mme']))
  const [taskFilter, setTaskFilter] = useState('')
  const [batchSize, setBatchSize] = useState('1')
  const [limit, setLimit] = useState('5')
  const [device, setDevice] = useState('')
  const [outputPath, setOutputPath] = useState('./logs/openrouter_test/')
  const [verbosity, setVerbosity] = useState('DEBUG')

  const [status, setStatus] = useState<Status>('ready')
  const [jobId, setJobId] = useState<string | null>(null)
  const [output, setOutput] = useState<string[]>(['Ready to evaluate'])
  const [command, setCommand] = useState('')

  const [collapsedGroups, setCollapsedGroups] = useState<Set<string>>(new Set())
  const [configExpanded, setConfigExpanded] = useState(true)
  const [tasksExpanded, setTasksExpanded] = useState(true)
  const [envVarsExpanded, setEnvVarsExpanded] = useState(true)
  const [logsMaximized, setLogsMaximized] = useState(false)

  const outputRef = useRef<HTMLDivElement>(null)

  // ... rest of component
}

State organization:

Server data: version, git info, system info, models, tasks
Configuration: model, args, tasks, env vars, batch size, limit, device, output path, verbosity
Runtime: status, job ID, output lines, command preview
UI state: collapsed groups, expanded sections, maximized logs

Data Fetching

useEffect(() => {
  fetch(`${API_BASE}/health`)
    .then(r => r.json())
    .then(d => {
      setVersion(d.version)
      if (d.git) setGitInfo(d.git)
      if (d.system) setSysInfo(d.system)
    })
    .catch(() => setVersion('error'))

  fetch(`${API_BASE}/models`)
    .then(r => r.json())
    .then(setModels)
    .catch(() => setModels([]))

  fetch(`${API_BASE}/tasks`)
    .then(r => r.json())
    .then(setTasks)
    .catch(() => setTasks([]))
}, [])

On component mount:

Fetch health info (version, git, system)
Fetch available models
Fetch available tasks
Handle errors gracefully (empty arrays, error message)

Command Preview

useEffect(() => {
  const config: Config = {
    model,
    model_args: modelArgs,
    tasks: Array.from(selectedTasks),
    env_vars: envVars,
    batch_size: parseInt(batchSize) || 1,
    limit: limit ? parseInt(limit) : null,
    output_path: outputPath,
    log_samples: true,
    verbosity,
    device: device || null,
  }

  fetch(`${API_BASE}/eval/preview`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(config),
  })
    .then(r => r.json())
    .then(d => setCommand(d.command))
    .catch(() => setCommand('# Error generating command'))
}, [model, modelArgs, selectedTasks, envVars, batchSize, limit, device, outputPath, verbosity])

Real-time command preview:

Triggers on any configuration change
Sends current config to /eval/preview
Updates command display
Provides immediate feedback

Auto-Scroll Logs

useEffect(() => {
  if (outputRef.current) {
    outputRef.current.scrollTop = outputRef.current.scrollHeight
  }
}, [output])

Automatically scrolls log output to bottom when new lines are added.

Job Execution

const startEval = async () => {
  if (selectedTasks.size === 0) {
    setOutput(['Error: No tasks selected'])
    return
  }

  setStatus('running')
  setOutput(['Starting evaluation...'])

  const config: Config = {
    model,
    model_args: modelArgs,
    tasks: Array.from(selectedTasks),
    env_vars: envVars,
    batch_size: parseInt(batchSize) || 1,
    limit: limit ? parseInt(limit) : null,
    output_path: outputPath,
    log_samples: true,
    verbosity,
    device: device || null,
  }

  try {
    const res = await fetch(`${API_BASE}/eval/start`, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(config),
    })
    const data = await res.json()
    setJobId(data.job_id)

    const eventSource = new EventSource(`${API_BASE}/eval/${data.job_id}/stream`)

    eventSource.onmessage = (event) => {
      const d = JSON.parse(event.data)

      if (d.type === 'output') {
        setOutput(prev => [...prev, d.line])
      } else if (d.type === 'done') {
        setStatus(d.exit_code === 0 ? 'completed' : 'error')
        setOutput(prev => [...prev, '', `Evaluation ${d.exit_code === 0 ? 'completed' : 'failed'} (exit: ${d.exit_code})`])
        eventSource.close()
      } else if (d.type === 'stopped') {
        setStatus('stopped')
        setOutput(prev => [...prev, '', 'Evaluation stopped'])
        eventSource.close()
      } else if (d.type === 'error') {
        setOutput(prev => [...prev, `Error: ${d.message}`])
        setStatus('error')
        eventSource.close()
      }
    }

    eventSource.onerror = () => {
      setStatus('error')
      setOutput(prev => [...prev, 'Connection error'])
      eventSource.close()
    }
  } catch (e) {
    setOutput([`Failed to start: ${e}`])
    setStatus('error')
  }
}

Job execution flow: 1. Validate tasks are selected 2. Set status to running, clear output 3. Build config object 4. POST to /eval/start, receive job ID 5. Open EventSource to /eval/{job_id}/stream 6. Handle event types:

  * output: Append log line
  * done: Set completed/error status, close connection
  * stopped: Set stopped status, close connection
  * error: Log error, close connection

7. Handle connection errors

Job Termination

const stopEval = async () => {
  if (!jobId) return
  try {
    await fetch(`${API_BASE}/eval/${jobId}/stop`, { method: 'POST' })
    setStatus('stopped')
  } catch (e) {
    setOutput(prev => [...prev, `Failed to stop: ${e}`])
  }
}

Simple termination: POST to stop endpoint, update status.

Layout Structure

return (
  <div className="flex flex-col h-screen bg-white text-neutral-900 font-light selection:bg-black selection:text-white">
    <header className="relative h-14 flex items-center justify-between px-6 border-b border-neutral-200 bg-white/80 backdrop-blur-md z-10">
      {/* Version, git info, status badge */}
    </header>

    <div className="flex flex-1 overflow-hidden">
      <div className="w-full md:w-[400px] lg:w-[450px] xl:w-[500px] 2xl:w-[550px] min-w-[320px] max-w-[600px] bg-white border-r border-neutral-200 flex flex-col overflow-y-auto scrollbar-thin flex-shrink-0">
        {/* Configuration sidebar */}
      </div>

      <div className="flex-1 flex flex-col bg-neutral-50/30 min-w-0">
        <div className="px-6 py-4 border-b border-neutral-200 bg-white flex gap-3 justify-start">
          {/* Start/Stop buttons */}
        </div>

        {!logsMaximized && (
          <div className="h-1/3 border-b border-neutral-200 flex flex-col bg-white transition-all duration-300">
            {/* Command preview */}
          </div>
        )}

        <div className="flex-1 flex flex-col bg-white transition-all duration-300 min-h-0">
          {/* Log output */}
        </div>
      </div>
    </div>
  </div>
)

Layout structure:

Full-height flexbox container
Fixed header with version/status
Two-column layout:

 * Left: Fixed-width sidebar (responsive breakpoints)
 * Right: Flexible main panel

Main panel split:

 * Top: Command preview (1/3 height, hideable)
 * Bottom: Log output (flexible height)

Responsive Behavior

Sidebar Width:

Base: full width
md (768px): 400px
lg (1024px): 450px
xl (1280px): 500px
2xl (1536px): 550px
Min: 320px, Max: 600px

Maximize Logs: Hides command preview panel to give full height to logs

Collapsible Sections: All major sections can be collapsed to save space

Visual Design

Color Palette:

Background: white (bg-white)
Text: neutral grays (text-neutral-600, text-neutral-900)
Accents: black (border-black, bg-black)
Status colors: green (completed), red (error)

Typography:

Base: system font, light weight
Code/logs: monospace font
Labels: uppercase, wide tracking, small size

Spacing:

Consistent padding: 6 units (px-6, py-6)
Form elements: 4-unit gaps (space-y-4)
Borders: 1px neutral (border-neutral-200)

Interactions:

Hover states: darker borders, background changes
Focus: black borders (focus:border-black)
Transitions: smooth 200ms (transition-colors)
Selection: black background, white text

Performance Optimizations

useMemo: Task tree computation memoized to avoid recalculation on every render

Event Delegation: Click handlers on parent elements rather than individual items

Stable Keys: List items use stable keys (task IDs) for efficient reconciliation

Conditional Rendering: Collapsed sections not rendered (rather than hidden with CSS)

Related Principles

Related Implementations

Implementation:EvolvingLMMs_Lab_Lmms_eval_TUI_Server - Backend API consumed by this component
Implementation:EvolvingLMMs_Lab_Lmms_eval_TUI_Web_Dependencies - NPM dependencies

Page Connections

Double-click a node to navigate. Hold to expand connections.

Principle

Implementation

Heuristic

Environment