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Computer Use Architecture Deep Dive ​

A deep dive into the Computer Use implementation: from MCP tool definitions to Python Bridge, from 9-layer security gates to feature flag bypasses.

Patch Environment · Layered Architecture · MCP Tool Layer · Security Gates · Python Bridge · Interaction Loop · Source File Index

Computer Use Architecture Overview


1. Patch Environment Overview ​

The original Claude Code's Computer Use feature (internal codename Chicago) depends on three components that are not publicly available:

ComponentPurposeAvailability
@ant/computer-use-swiftScreenshots, display enumerationAnthropic private npm package
@ant/computer-use-inputMouse/keyboard simulationAnthropic private npm package
GrowthBook remote configFeature flags, kill switchAnthropic internal service

Our approach: preserve the original MCP tool definitions and security mechanisms, only replace the execution layer and feature flag controls.

Patch Environment Comparison

What We Changed ​

Original Claude Code                     AutoABM (Patched)
────────────────────                     ─────────────────────────
@ant/computer-use-swift  ──replaced──→   Python Bridge (mac_helper.py)
@ant/computer-use-input  ──replaced──→   pyautogui + pyobjc
GrowthBook feature flags ──bypassed──→   gates.ts hardcoded return true
Subscription check (Max/Pro) ──bypassed──→ getChicagoEnabled() = true
Build macro CHICAGO_MCP  ──replaced──→   true
isDefaultDisabledBuiltin ──modified──→   returns false

What We Kept Intact ​

  • MCP tool definitions (24 tools with their schema and parameter validation)
  • 9-layer security gates (TCC permissions, app allowlist, permission tiers, pixel validation, etc.)
  • App classification system (191 bundle IDs categorized with permission mappings)
  • Session context management (global lock, screenshot cache, state synchronization)
  • Keyboard shortcut blocklist (system-level dangerous operation interception)

Feature Flag Bypass Details ​

The original code uses three layers of gating to restrict Computer Use access:

typescript
// Original code (simplified)
function getChicagoEnabled(): boolean {
  // Layer 1: GrowthBook remote config
  const config = getDynamicConfig('tengu_malort_pedway')
  // Layer 2: Subscription check
  const hasSubscription = hasRequiredSubscription() // Max/Pro
  // Layer 3: Build-time macro
  return feature('CHICAGO_MCP') && config.enabled && hasSubscription
}

Our modification:

typescript
// gates.ts — our change
export function getChicagoEnabled(): boolean {
  return true  // ← all three gate layers bypassed
}

Note: Sub-gates (pixelValidation, mouseAnimation, etc.) still retain the original logic and can be controlled via configuration.


2. Layered Architecture ​

Computer Use uses a 6-layer architecture with clear responsibilities and boundaries:

┌─────────────────────────────────────────────────────────────┐
│  Layer 1 — MCP Tool Interface                               │
│  tools.ts: 24 tool schemas + parameter validation           │
│  buildComputerUseTools() → MCP Tool Definition              │
├─────────────────────────────────────────────────────────────┤
│  Layer 2 — Tool Dispatch & Security Control                 │
│  toolCalls.ts: handleToolCall() + 9 security gates          │
│  deniedApps.ts: 191 app classifications + permission tiers  │
├─────────────────────────────────────────────────────────────┤
│  Layer 3 — MCP Server Binding                               │
│  mcpServer.ts: session context + global lock + screenshot   │
│  bindSessionContext() → per-call overrides                  │
├─────────────────────────────────────────────────────────────┤
│  Layer 4 — CLI Integration                                  │
│  wrapper.tsx: permission dialogs + state read/write         │
│  setup.ts: MCP config initialization                        │
│  gates.ts: feature flags (bypassed)                         │
├─────────────────────────────────────────────────────────────┤
│  Layer 5 — Python Bridge IPC                        [PATCH] │
│  pythonBridge.ts: venv mgmt + JSON RPC + error handling     │
│  callPythonHelper<T>(command, payload) → T                  │
├─────────────────────────────────────────────────────────────┤
│  Layer 6 — Python Runtime Execution                 [PATCH] │
│  mac_helper.py: pyautogui + mss + pyobjc                    │
│  660 lines of Python implementing all system interactions   │
└─────────────────────────────────────────────────────────────┘

Layers marked [PATCH] are our replaced/new code. All other layers are preserved from the original Claude Code.

Why This Layering? ​

LayerSourceReusability
Layer 1-2vendor/computer-use-mcp/Platform-agnostic, reusable for Electron, Web hosts
Layer 3vendor/computer-use-mcp/Platform-agnostic, standard MCP protocol
Layer 4utils/computerUse/CLI-specific, bound to app state
Layer 5-6utils/computerUse/ + runtime/macOS-specific, Python implementation

3. MCP Tool Layer ​

24 Tools Overview ​

Computer Use exposes 24 tools to the model via MCP (Model Context Protocol):

CategoryToolsPermission Tier
Permissionrequest_access, list_granted_applicationsNone required
Screenshotscreenshot, zoomread
Mouse Clickleft_click, double_click, triple_clickclick
Mouse Advancedright_click, middle_click, left_click_dragfull
Mouse Movemouse_move, cursor_position, scrollclick
Mouse Low-levelleft_mouse_down, left_mouse_upfull
Keyboardtype, key, hold_keyfull
Applicationopen_application, switch_displayfull
Clipboardread_clipboard, write_clipboardfull
Batchcomputer_batchInherits from sub-operations
WaitwaitNone required

Coordinate System ​

The model interacts with the screen through two coordinate modes:

pixels mode (default):
  Model sees screenshot size (1176 x 784)
  Model outputs coordinate [588, 392]
  scaleCoord() conversion:
    x_logical = (588 * displayWidth / 1176) + originX
    y_logical = (392 * displayHeight / 784) + originY

normalized_0_100 mode:
  Model outputs coordinate [50, 50] (percentage)
  scaleCoord() conversion:
    x_logical = (50 / 100) * displayWidth + originX
    y_logical = (50 / 100) * displayHeight + originY

Screenshot dimensions are calculated by imageResize.ts to ensure:

  • Long edge <= 1568 pixels
  • Token budget <= 1568 (vision encoder at 28px/token)
  • Aspect ratio preserved

App Classification System ​

deniedApps.ts precisely classifies 191 applications:

Browsers (55 bundle IDs) -> tier read

Safari, Chrome, Firefox, Arc, Edge, Opera, Brave, Vivaldi...
Reason: browser operations should use Chrome MCP, not blind clicking

Terminals (102 bundle IDs) -> tier click

Terminal, iTerm2, VS Code, Cursor, JetBrains IDEs, Xcode...
Reason: terminal operations should use Bash Tool, limited to click only

Trading (34 bundle IDs) -> tier read

Webull, Fidelity, Interactive Brokers, Binance, Kraken...
Reason: financial operations are extremely high-risk, screenshot only

Completely Blocked (policy deny list):

Netflix, Spotify, Apple Music, Kindle...
Reason: copyright compliance, rejected without permission dialog

4. Security Gate System ​

Every input action (click, keyboard, drag) must pass through 9 security gates before execution:

Security Gates Flow

Gate Details ​

Gate 1: Kill Switch ​

typescript
if (adapter.isDisabled()) return errorResult("Computer Use is disabled")

Reads getChicagoEnabled() — always returns true in patched version.

Gate 2: TCC Permission Check ​

typescript
await adapter.ensureOsPermissions()
// → Python: check_permissions
//   → Accessibility: osascript "tell System Events..."
//   → Screen Recording: CGDisplayCaptureDisplay()

Reports error if macOS Accessibility or Screen Recording permissions are missing.

Gate 3: Global Mutex Lock ​

typescript
await tryAcquireComputerUseLock(sessionId)
// File lock: ~/.claude/computer-use.lock
// JSON: { sessionId, pid, acquiredAt }

Ensures only one Claude session can control the computer at a time. Supports stale PID recovery.

Gate 4: Hide Non-Allowlisted Apps ​

typescript
await executor.prepareForAction(allowlistBundleIds)
// Hide all app windows not in the allowlist
// Ensures screenshots only contain authorized apps

Gate 5: Frontmost App Check ​

typescript
const frontmost = await executor.getFrontmostApp()
if (!allowlist.includes(frontmost.bundleId)) {
  return errorResult("Application not authorized")
}

Even after passing the allowlist, verifies the current foreground app is authorized.

Gate 6: Permission Tier Check ​

Three-tier permission model:

TierAllowed OperationsProhibited Operations
readScreenshot viewingAny input action
clickLeft click, scrollRight-click, drag, keyboard input
fullAll operationsNo restrictions
typescript
function tierSatisfies(tier: CuAppPermTier, required: ActionKind): boolean {
  const order = { read: 0, click: 1, full: 2 }
  return order[tier] >= order[required]
}

Anti-subversion: If permissions are insufficient, the response includes a TIER_ANTI_SUBVERSION hint to prevent the model from bypassing restrictions via AppleScript or System Events.

Gate 7: Clipboard Guard ​

Threat model:

1. Agent calls write_clipboard("rm -rf /")
2. Switches to Terminal (click-tier allows clicking)
3. Model clicks Terminal's paste button
4. Malicious command executed

Protection:

When click-tier app becomes frontmost:
  → Save current clipboard content (stash)
  → Clear clipboard
  → Re-clear after each operation

When non-click-tier app becomes frontmost:
  → Restore original clipboard content

Gate 8: Pixel Validation (Staleness Guard) ​

Last screenshot              Current actual screen
┌────────────┐              ┌────────────┐
│   Button A  │              │   Dialog    │  ← UI has changed
│  [756,342]  │              │  Confirm?   │
└────────────┘              └────────────┘

Validation: sample 9x9 pixel grid at [756,342]
  → Compare last screenshot vs live screenshot pixels
  → Different → reject click + prompt to re-screenshot
  → Same → allow click

Note: In patched version, pixelValidation is off by default (hostAdapter.cropRawPatch() returns null).

Gate 9: System Shortcut Interception ​

keyBlocklist.ts blocks dangerous shortcuts:

ShortcutDangerous Action
Cmd+QQuit application
Shift+Cmd+QLog out
Option+Cmd+EscForce quit dialog
Cmd+TabApp switcher
Cmd+SpaceSpotlight
Ctrl+Cmd+QLock screen

5. Python Bridge Mechanism ​

Python Bridge Communication

Architecture Design ​

Original Claude Code uses compiled Swift native modules (.node NAPI plugins) to directly call macOS APIs. We replaced this layer with Python subprocess + JSON RPC:

TypeScript (Bun Runtime)                    Python (venv)
┌────────────────────┐                   ┌────────────────────┐
│  executor.ts       │                   │  mac_helper.py     │
│                    │   execFile()      │                    │
│  callPythonHelper  │ ──────────────→   │  main()            │
│  ('click',         │   command +       │    ├─ parse argv   │
│   {x:756,y:342})   │   --payload JSON  │    ├─ dispatch()   │
│                    │                   │    └─ click()      │
│  ← JSON.parse ──── │ ←──────────────   │       pyautogui    │
│  {ok:true,         │   stdout JSON     │                    │
│   result:true}     │                   │  json_output(...)  │
└────────────────────┘                   └────────────────────┘

Bootstrap Flow ​

First call to callPythonHelper() automatically completes environment setup:

ensureBootstrapped()
  │
  ├─ Check if .runtime/venv/bin/python3 exists
  │   └─ Missing → python3 -m venv .runtime/venv/
  │
  ├─ Check if pip is available
  │   └─ Missing → python3 -m ensurepip --upgrade
  │
  ├─ Compute SHA256 of runtime/requirements.txt
  │   └─ Compare with .runtime/requirements.sha256
  │       └─ Different → pip install -r requirements.txt
  │                      Write new SHA256 hash
  │       └─ Same → skip installation
  │
  └─ Ready, return venv Python path

Dependencies (runtime/requirements.txt):

LibraryPurpose
mssHigh-performance screen capture
PillowJPEG encoding and image processing
pyautoguiMouse click, keyboard input
pyobjc-coremacOS Objective-C bridge
pyobjc-framework-CocoaNSWorkspace (app management), NSPasteboard (clipboard)
pyobjc-framework-QuartzCGDisplay (monitors), CGWindow (window list)

Command Mapping ​

mac_helper.py (660 lines) implements the following commands:

CommandPython ImplementationReturn Value
screenshotmss.grab() + PIL.Image JPEG encoding{base64, width, height, displayWidth, displayHeight}
zoommss.grab(region) region capture{base64, width, height}
clickpyautogui.moveTo() + pyautogui.click()true
keypyautogui.hotkey() / pyautogui.press()true
typepyautogui.write(interval=0.008)true
dragpyautogui.dragTo(duration=0.2)true
scrollpyautogui.scroll() / pyautogui.hscroll()true
hold_keypyautogui.keyDown() + sleep + pyautogui.keyUp()true
frontmost_appNSWorkspace.frontmostApplication(){bundleId, displayName}
list_displaysCGGetActiveDisplayList() + CGDisplayBounds()[DisplayGeometry...]
open_appNSWorkspace.launchApplicationAtURL_options_void
read_clipboardNSPasteboard.stringForType_()string
write_clipboardNSPasteboard.setString_forType_()void
check_permissionsosascript + CGDisplayCaptureDisplay{accessibility, screenRecording}

Error Handling ​

python
# mac_helper.py unified error handling
def main():
    try:
        result = dispatch(command, payload)
        json_output({"ok": True, "result": result})
    except Exception as e:
        error_output({"ok": False, "error": {"message": str(e)}})

TypeScript side:

typescript
// pythonBridge.ts
const parsed = JSON.parse(stdout)
if (!parsed.ok) {
  throw new Error(parsed.error.message)  // → MCP tool error
}
return parsed.result

6. Screenshot-Analyze-Act Loop ​

A complete Computer Use interaction consists of multiple screenshot-analyze-act cycles:

Typical Interaction Flow ​

User: "Open NetEase Music and search for a song"

┌─ Cycle 1: Discover and open application ─────────────────┐
│                                                           │
│  Step 1: request_access                                   │
│    → Permission dialog, user authorizes allowed apps      │
│    → Set allowedApps, grantFlags                          │
│                                                           │
│  Step 2: screenshot                                       │
│    → Full screen capture → JPEG encode → base64           │
│    → Cache screenshot dimensions (lastScreenshotDims)     │
│    → Return to model                                      │
│                                                           │
│  Step 3: Model analyzes screenshot                        │
│    → "NetEase Music not on desktop, need to open it"      │
│    → Decides to call open_application                     │
│                                                           │
│  Step 4: open_application("com.netease.163music")         │
│    → Gates 1-9 all pass                                   │
│    → Python: NSWorkspace.launchApplicationAtURL_()        │
│                                                           │
└───────────────────────────────────────────────────────────┘

┌─ Cycle 2: Locate search box ─────────────────────────────┐
│                                                           │
│  Step 5: screenshot                                       │
│    → Full screen (app now open)                           │
│    → Update lastScreenshotDims                            │
│                                                           │
│  Step 6: Model analyzes screenshot                        │
│    → Vision identifies search box at (756, 342)           │
│    → Decides to click search box                          │
│                                                           │
│  Step 7: left_click({coordinate: [756, 342]})             │
│    → Gate 4: Hide non-allowlisted apps                    │
│    → Gate 5: Frontmost is NetEase Music ✓                 │
│    → Gate 6: tier=full >= click ✓                         │
│    → scaleCoord(756, 342) → screen coordinates            │
│    → Python: pyautogui.click(x_logical, y_logical)        │
│                                                           │
└───────────────────────────────────────────────────────────┘

┌─ Cycle 3: Type search query ─────────────────────────────┐
│                                                           │
│  Step 8: type({text: "my favorite song"})                 │
│    → Gate 6: tier=full >= keyboard ✓                      │
│    → Python: pyautogui.write("...", interval=0.008)       │
│                                                           │
│  Step 9: screenshot                                       │
│    → Confirm search results appeared                      │
│                                                           │
│  Step 10: left_click({coordinate: [...]})                 │
│    → Click target song                                    │
│                                                           │
└───────────────────────────────────────────────────────────┘

Coordinate Conversion ​

What the model sees vs actual screen are different coordinate spaces:

Physical screen (2560 x 1600, Retina 2x)
  ├─ Logical size: 1280 x 800
  └─ Physical pixels: 2560 x 1600

After imageResize:
  ├─ Scaled size: 1176 x 735 (≤1568px budget)
  └─ This is the screenshot size the model "sees"

Model outputs coordinate: [588, 368] (in image space)

scaleCoord conversion:
  x_logical = (588 / 1176) * 1280 + originX = 640
  y_logical = (368 / 735) * 800 + originY = 400

Python executes:
  pyautogui.moveTo(640, 400)  ← logical coords (macOS handles Retina)

Screenshot Cache & State Sync ​

bindSessionContext closure
  │
  ├─ lastScreenshot (in-memory)
  │   ├─ base64: JPEG data (for pixel validation)
  │   ├─ width/height: model-visible dimensions
  │   └─ displayWidth/displayHeight/originX/originY: display geometry
  │
  └─ AppState.computerUseMcpState (persisted)
      ├─ allowedApps: AppGrant[]        — authorized app list
      ├─ grantFlags: {...}              — clipboard/system shortcut permissions
      ├─ selectedDisplayId?: number     — selected display
      ├─ lastScreenshotDims?: {...}     — screenshot geometry (survives restart)
      └─ hiddenDuringTurn?: Set<string> — apps hidden this turn

7. Key Source File Index ​

vendor/computer-use-mcp/ (Original Code Layer) ​

FileLinesResponsibility
types.ts622Permission model, session context, all type definitions
tools.ts70724 MCP tool schemas and parameter validation
toolCalls.ts1600+Core: tool dispatch, 9 security gates, permission flow
deniedApps.ts554191 app classifications (browser/terminal/trading) and permission mappings
sentinelApps.ts44Sensitive app warning labels (shell/filesystem/system_settings)
mcpServer.ts314MCP server factory, session context binding, global lock
pixelCompare.ts172Click target pixel validation (staleness guard)
imageResize.ts109Screenshot dimension calculation (API image transcoder)
keyBlocklist.ts154System shortcut interception (Cmd+Q, Cmd+Tab, etc.)
executor.ts101ComputerExecutor interface definition
subGates.ts20Feature flag sub-gate presets

utils/computerUse/ (CLI Adaptation Layer) ​

FileLinesResponsibilityPatched?
executor.ts231ComputerExecutor Python bridge implementationYes, rewritten
pythonBridge.ts111Python subprocess management, venv bootstrap, JSON RPCYes, new
hostAdapter.ts54HostAdapter implementation (permission checks, flag reading)Partially
gates.ts51GrowthBook feature flags (getChicagoEnabled bypass)Yes, modified
wrapper.tsx300+Session context construction, permission dialogs, lock managementUnchanged
setup.ts54MCP config initializationUnchanged
computerUseLock.ts216Global file lock (~/.claude/computer-use.lock)Unchanged
common.ts62Constants (server name, bundle ID)Unchanged
cleanup.ts—Turn-end cleanup (app restore, clipboard restore)Unchanged
toolRendering.tsx—Tool result UI renderingUnchanged

runtime/ (Python Runtime) ​

FileLinesResponsibilityPatched?
mac_helper.py660All system interactions in PythonYes, new
requirements.txt6Python dependency declarationsYes, new

8. Design Trade-offs ​

Why Python Bridge? ​

DimensionNative Swift (.node)Python Bridge
Performance~0ms (in-process call)~50-100ms (subprocess startup)
ReadabilityNot readable after compilation660 lines of clear Python
ModifiabilityRequires Swift build environmentEdit .py files directly
DependenciesSpecific Bun version NAPIAny Python 3.8+
Cross-platformmacOS onlypyautogui/mss are natively cross-platform
User experienceImperceptibleImperceptible (model thinking takes 2-5s)

Conclusion: The 50-100ms extra latency is completely negligible in Computer Use scenarios — the model typically takes 2-5 seconds for screenshot analysis and decision-making, so users won't notice the additional 100ms for underlying operations.

Approaches We Tried But Abandoned ​

Approach 1: Extract native .node modules

  • Successfully extracted computer-use-swift.node (ARM64 424KB) from the Claude Code binary
  • Synchronous methods worked, but Swift async method continuations never resumed
  • Root cause: .node files compiled for Claude Code's built-in Bun, incompatible with user's Bun version

Approach 2: Empty stub packages

  • Code compiled but all operations threw errors — no actual execution capability

Released under the MIT License.