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hermes-agent/tools/computer_use/cua_backend.py

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feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
"""Cua-driver backend (macOS only).
Speaks MCP over stdio to `cua-driver`. The Python `mcp` SDK is async, so we
run a dedicated asyncio event loop on a background thread and marshal sync
calls through it.
Install: `/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/cua-driver/scripts/install.sh)"`
After install, `cua-driver` is on $PATH and supports `cua-driver mcp` (stdio
transport) which is what we invoke.
The private SkyLight SPIs cua-driver uses (SLEventPostToPid, SLPSPostEvent-
RecordTo, _AXObserverAddNotificationAndCheckRemote) are not Apple-public and
can break on OS updates. Pin the installed version via `HERMES_CUA_DRIVER_
VERSION` if you want reproducibility across an OS bump.
"""
from __future__ import annotations
import asyncio
import base64
import json
import logging
import os
import platform
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
import re
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
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import shutil
import subprocess
import sys
import threading
from concurrent.futures import Future
from typing import Any, Dict, List, Optional, Tuple
from tools.computer_use.backend import (
ActionResult,
CaptureResult,
ComputerUseBackend,
UIElement,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Version pinning
# ---------------------------------------------------------------------------
PINNED_CUA_DRIVER_VERSION = os.environ.get("HERMES_CUA_DRIVER_VERSION", "0.5.0")
_CUA_DRIVER_CMD = os.environ.get("HERMES_CUA_DRIVER_CMD", "cua-driver")
_CUA_DRIVER_ARGS = ["mcp"] # stdio MCP transport
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
# Regex to parse list_windows text output lines:
# "- AppName (pid 12345) "Title" [window_id: 67890]"
_WINDOW_LINE_RE = re.compile(
r'^-\s+(.+?)\s+\(pid\s+(\d+)\)\s+.*\[window_id:\s+(\d+)\]',
re.MULTILINE,
)
# Regex to parse element lines from get_window_state AX tree markdown:
# " - [N] AXRole "label""
_ELEMENT_LINE_RE = re.compile(
r'^\s*-\s+\[(\d+)\]\s+(\w+)(?:\s+"([^"]*)")?',
re.MULTILINE,
)
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _is_macos() -> bool:
return sys.platform == "darwin"
def _is_arm_mac() -> bool:
return _is_macos() and platform.machine() == "arm64"
def cua_driver_binary_available() -> bool:
"""True if `cua-driver` is on $PATH or HERMES_CUA_DRIVER_CMD resolves."""
return bool(shutil.which(_CUA_DRIVER_CMD))
def cua_driver_install_hint() -> str:
return (
"cua-driver is not installed. Install with:\n"
' /bin/bash -c "$(curl -fsSL '
'https://raw.githubusercontent.com/trycua/cua/main/libs/cua-driver/scripts/install.sh)"\n'
"Or run `hermes tools` and enable the Computer Use toolset to install it automatically."
)
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
def _parse_windows_from_text(text: str) -> List[Dict[str, Any]]:
"""Parse window records from list_windows text output."""
windows = []
for m in _WINDOW_LINE_RE.finditer(text):
windows.append({
"app_name": m.group(1).strip(),
"pid": int(m.group(2)),
"window_id": int(m.group(3)),
"off_screen": "[off-screen]" in m.group(0),
})
return windows
def _parse_elements_from_tree(markdown: str) -> List[UIElement]:
"""Parse UIElement list from get_window_state AX tree markdown."""
elements = []
for m in _ELEMENT_LINE_RE.finditer(markdown):
elements.append(UIElement(
index=int(m.group(1)),
role=m.group(2),
label=m.group(3) or "",
bounds=(0, 0, 0, 0),
))
return elements
def _split_tree_text(full_text: str) -> Tuple[str, str]:
"""Split get_window_state text into (summary_line, tree_markdown)."""
lines = full_text.split("\n", 1)
summary = lines[0]
tree = lines[1] if len(lines) > 1 else ""
return summary, tree
def _parse_key_combo(keys: str) -> Tuple[Optional[str], List[str]]:
"""Parse a key string like 'cmd+s' into (key, modifiers).
Returns (key, modifiers) where key is the non-modifier key and modifiers
is a list of modifier names (cmd, shift, option, ctrl).
"""
MODIFIER_NAMES = {"cmd", "command", "shift", "option", "alt", "ctrl", "control", "fn"}
KEY_ALIASES = {"command": "cmd", "alt": "option", "control": "ctrl"}
parts = [p.strip().lower() for p in re.split(r'[+\-]', keys) if p.strip()]
modifiers = []
key = None
for part in parts:
normalized = KEY_ALIASES.get(part, part)
if normalized in MODIFIER_NAMES:
modifiers.append(normalized)
else:
key = part # last non-modifier wins
return key, modifiers
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
# ---------------------------------------------------------------------------
# Asyncio bridge — one long-lived loop on a background thread
# ---------------------------------------------------------------------------
class _AsyncBridge:
"""Runs one asyncio loop on a daemon thread; marshals coroutines from the caller."""
def __init__(self) -> None:
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._thread: Optional[threading.Thread] = None
self._ready = threading.Event()
def start(self) -> None:
if self._thread and self._thread.is_alive():
return
self._ready.clear()
def _run() -> None:
self._loop = asyncio.new_event_loop()
asyncio.set_event_loop(self._loop)
self._ready.set()
try:
self._loop.run_forever()
finally:
try:
self._loop.close()
except Exception:
pass
self._thread = threading.Thread(target=_run, daemon=True, name="cua-driver-loop")
self._thread.start()
if not self._ready.wait(timeout=5.0):
raise RuntimeError("cua-driver asyncio bridge failed to start")
def run(self, coro, timeout: Optional[float] = 30.0) -> Any:
if not self._loop or not self._thread or not self._thread.is_alive():
raise RuntimeError("cua-driver bridge not started")
fut: Future = asyncio.run_coroutine_threadsafe(coro, self._loop)
return fut.result(timeout=timeout)
def stop(self) -> None:
if self._loop and self._loop.is_running():
self._loop.call_soon_threadsafe(self._loop.stop)
if self._thread:
self._thread.join(timeout=2.0)
self._thread = None
self._loop = None
# ---------------------------------------------------------------------------
# MCP session (lazy, shared across tool calls)
# ---------------------------------------------------------------------------
class _CuaDriverSession:
"""Holds the mcp ClientSession. Spawned lazily; re-entered on drop."""
def __init__(self, bridge: _AsyncBridge) -> None:
self._bridge = bridge
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
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self._session = None
self._exit_stack = None
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
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self._lock = threading.Lock()
self._started = False
def _require_started(self) -> None:
if not self._started:
raise RuntimeError("cua-driver session not started")
async def _aenter(self) -> None:
from contextlib import AsyncExitStack
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
if not cua_driver_binary_available():
raise RuntimeError(cua_driver_install_hint())
params = StdioServerParameters(
command=_CUA_DRIVER_CMD,
args=_CUA_DRIVER_ARGS,
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
env={**os.environ},
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
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)
stack = AsyncExitStack()
read, write = await stack.enter_async_context(stdio_client(params))
session = await stack.enter_async_context(ClientSession(read, write))
await session.initialize()
self._exit_stack = stack
self._session = session
async def _aexit(self) -> None:
if self._exit_stack is not None:
try:
await self._exit_stack.aclose()
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
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except Exception as e:
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
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logger.warning("cua-driver shutdown error: %s", e)
self._exit_stack = None
self._session = None
def start(self) -> None:
with self._lock:
if self._started:
return
self._bridge.start()
self._bridge.run(self._aenter(), timeout=15.0)
self._started = True
def stop(self) -> None:
with self._lock:
if not self._started:
return
try:
self._bridge.run(self._aexit(), timeout=5.0)
finally:
self._started = False
async def _call_tool_async(self, name: str, args: Dict[str, Any]) -> Dict[str, Any]:
result = await self._session.call_tool(name, args)
return _extract_tool_result(result)
def call_tool(self, name: str, args: Dict[str, Any], timeout: float = 30.0) -> Dict[str, Any]:
self._require_started()
return self._bridge.run(self._call_tool_async(name, args), timeout=timeout)
def _extract_tool_result(mcp_result: Any) -> Dict[str, Any]:
"""Convert an mcp CallToolResult into a plain dict.
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
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cua-driver returns a mix of text parts, image parts, and structuredContent.
We flatten into:
{
"data": <text or parsed json>,
"images": [b64, ...],
"structuredContent": <dict|None>,
"isError": bool,
}
structuredContent is populated from the MCP result's structuredContent field
(MCP spec §2024-11-05+) and takes precedence for structured data like
list_windows window arrays.
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
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"""
data: Any = None
images: List[str] = []
is_error = bool(getattr(mcp_result, "isError", False))
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
structured: Optional[Dict] = getattr(mcp_result, "structuredContent", None) or None
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
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text_chunks: List[str] = []
for part in getattr(mcp_result, "content", []) or []:
ptype = getattr(part, "type", None)
if ptype == "text":
text_chunks.append(getattr(part, "text", "") or "")
elif ptype == "image":
b64 = getattr(part, "data", None)
if b64:
images.append(b64)
if text_chunks:
joined = "\n".join(t for t in text_chunks if t)
try:
data = json.loads(joined) if joined.strip().startswith(("{", "[")) else joined
except json.JSONDecodeError:
data = joined
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
return {"data": data, "images": images, "structuredContent": structured, "isError": is_error}
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
# ---------------------------------------------------------------------------
# The backend itself
# ---------------------------------------------------------------------------
class CuaDriverBackend(ComputerUseBackend):
"""Default computer-use backend. macOS-only via cua-driver MCP."""
def __init__(self) -> None:
self._bridge = _AsyncBridge()
self._session = _CuaDriverSession(self._bridge)
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
# Sticky context — updated by capture(), used by action tools.
self._active_pid: Optional[int] = None
self._active_window_id: Optional[int] = None
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
# ── Lifecycle ──────────────────────────────────────────────────
def start(self) -> None:
self._session.start()
def stop(self) -> None:
try:
self._session.stop()
finally:
self._bridge.stop()
def is_available(self) -> bool:
if not _is_macos():
return False
return cua_driver_binary_available()
# ── Capture ────────────────────────────────────────────────────
def capture(self, mode: str = "som", app: Optional[str] = None) -> CaptureResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
"""Capture the frontmost on-screen window (optionally filtered by app name).
Maps hermes `capture(mode, app)` cua-driver `list_windows` +
`get_window_state` (ax/som) or `screenshot` (vision).
"""
# Step 1: enumerate on-screen windows to find target pid/window_id.
lw_out = self._session.call_tool("list_windows", {"on_screen_only": True})
# Prefer structuredContent.windows (MCP 2024-11-05+); fall back to
# text-line parsing for older cua-driver builds.
sc = lw_out.get("structuredContent") or {}
raw_windows = sc.get("windows") if sc else None
if raw_windows:
windows = [
{
"app_name": w.get("app_name", ""),
"pid": int(w["pid"]),
"window_id": int(w["window_id"]),
"off_screen": not w.get("is_on_screen", True),
"title": w.get("title", ""),
"z_index": w.get("z_index", 0),
}
for w in raw_windows
]
# Sort by z_index descending (lowest z_index = frontmost on macOS).
windows.sort(key=lambda w: w["z_index"])
else:
raw_text = lw_out["data"] if isinstance(lw_out["data"], str) else ""
windows = _parse_windows_from_text(raw_text)
if not windows:
return CaptureResult(mode=mode, width=0, height=0, png_b64=None,
elements=[], app="", window_title="", png_bytes_len=0)
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
# Filter by app name (case-insensitive substring) if requested.
if app:
app_lower = app.lower()
filtered = [w for w in windows if app_lower in w["app_name"].lower()]
if filtered:
windows = filtered
# Pick first on-screen window (sorted by z_index / z-order above).
target = next((w for w in windows if not w["off_screen"]), windows[0])
self._active_pid = target["pid"]
self._active_window_id = target["window_id"]
app_name = target["app_name"]
# Step 2: capture.
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
png_b64: Optional[str] = None
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
elements: List[UIElement] = []
width = height = 0
window_title = ""
if mode == "vision":
# screenshot tool: just the PNG, no AX walk.
sc_out = self._session.call_tool(
"screenshot",
{"window_id": self._active_window_id, "format": "jpeg", "quality": 85},
)
if sc_out["images"]:
png_b64 = sc_out["images"][0]
else:
# get_window_state: AX tree + optional screenshot.
gws_out = self._session.call_tool(
"get_window_state",
{"pid": self._active_pid, "window_id": self._active_window_id},
)
text = gws_out["data"] if isinstance(gws_out["data"], str) else ""
summary, tree = _split_tree_text(text)
# Parse element count from summary e.g. "✅ AppName — 42 elements, turn 3..."
m = re.search(r'(\d+)\s+elements?', summary)
if tree and not gws_out["images"]:
# ax mode — no screenshot
elements = _parse_elements_from_tree(tree)
elif gws_out["images"]:
png_b64 = gws_out["images"][0]
elements = _parse_elements_from_tree(tree)
# Extract window title from the AX tree first AXWindow line.
wt = re.search(r'AXWindow\s+"([^"]+)"', tree)
if wt:
window_title = wt.group(1)
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
png_bytes_len = 0
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
if png_b64:
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
try:
png_bytes_len = len(base64.b64decode(png_b64, validate=False))
except Exception:
png_bytes_len = len(png_b64) * 3 // 4
return CaptureResult(
mode=mode,
width=width,
height=height,
png_b64=png_b64,
elements=elements,
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
app=app_name,
window_title=window_title,
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
png_bytes_len=png_bytes_len,
)
# ── Pointer ────────────────────────────────────────────────────
def click(
self,
*,
element: Optional[int] = None,
x: Optional[int] = None,
y: Optional[int] = None,
button: str = "left",
click_count: int = 1,
modifiers: Optional[List[str]] = None,
) -> ActionResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
pid = self._active_pid
if pid is None:
return ActionResult(ok=False, action="click",
message="No active window — call capture() first.")
# Choose tool based on button and click_count.
if button == "right":
tool = "right_click"
elif click_count == 2:
tool = "double_click"
else:
tool = "click"
args: Dict[str, Any] = {"pid": pid}
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
if element is not None:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
if self._active_window_id is None:
return ActionResult(ok=False, action=tool,
message="No active window_id for element_index click.")
args["element_index"] = element
args["window_id"] = self._active_window_id
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
elif x is not None and y is not None:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
args["x"] = x
args["y"] = y
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
else:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
return ActionResult(ok=False, action=tool,
message="click requires element= or x/y.")
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
if modifiers:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
args["modifier"] = modifiers
return self._action(tool, args)
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
def drag(
self,
*,
from_element: Optional[int] = None,
to_element: Optional[int] = None,
from_xy: Optional[Tuple[int, int]] = None,
to_xy: Optional[Tuple[int, int]] = None,
button: str = "left",
modifiers: Optional[List[str]] = None,
) -> ActionResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
# cua-driver does not expose a drag tool.
return ActionResult(ok=False, action="drag",
message="drag is not supported by the cua-driver backend.")
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
def scroll(
self,
*,
direction: str,
amount: int = 3,
element: Optional[int] = None,
x: Optional[int] = None,
y: Optional[int] = None,
modifiers: Optional[List[str]] = None,
) -> ActionResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
pid = self._active_pid
if pid is None:
return ActionResult(ok=False, action="scroll",
message="No active window — call capture() first.")
args: Dict[str, Any] = {
"pid": pid,
"direction": direction,
"amount": max(1, min(50, amount)),
}
if element is not None and self._active_window_id is not None:
args["element_index"] = element
args["window_id"] = self._active_window_id
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
elif x is not None and y is not None:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
args["x"] = x
args["y"] = y
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
return self._action("scroll", args)
# ── Keyboard ───────────────────────────────────────────────────
def type_text(self, text: str) -> ActionResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
pid = self._active_pid
if pid is None:
return ActionResult(ok=False, action="type_text",
message="No active window — call capture() first.")
# Safari WebKit AXTextField does not accept AX attribute writes (type_text),
# so use type_text_chars which synthesises individual key events instead.
# This works universally across all macOS apps in background mode.
return self._action("type_text_chars", {"pid": pid, "text": text})
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
def key(self, keys: str) -> ActionResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
pid = self._active_pid
if pid is None:
return ActionResult(ok=False, action="key",
message="No active window — call capture() first.")
key_name, modifiers = _parse_key_combo(keys)
if not key_name:
return ActionResult(ok=False, action="key",
message=f"Could not parse key from '{keys}'.")
if modifiers:
# hotkey requires at least one modifier + one key.
return self._action("hotkey", {"pid": pid, "keys": modifiers + [key_name]})
else:
return self._action("press_key", {"pid": pid, "key": key_name})
# ── Value setter ────────────────────────────────────────────────
def set_value(self, value: str, element: Optional[int] = None) -> ActionResult:
"""Set a value on an element. Handles AXPopUpButton selects natively."""
pid = self._active_pid
window_id = self._active_window_id
if pid is None or window_id is None:
return ActionResult(ok=False, action="set_value",
message="No active window — call capture() first.")
if element is None:
return ActionResult(ok=False, action="set_value",
message="set_value requires element= (element index).")
args: Dict[str, Any] = {
"pid": pid,
"window_id": window_id,
"element_index": element,
"value": value,
}
return self._action("set_value", args)
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
# ── Introspection ──────────────────────────────────────────────
def list_apps(self) -> List[Dict[str, Any]]:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
out = self._session.call_tool("list_apps", {})
data = out["data"]
if isinstance(data, list):
return data
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
if isinstance(data, dict):
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
return data.get("apps", [])
# list_apps returns plain text — parse app lines.
if isinstance(data, str):
apps = []
for line in data.splitlines():
m = re.search(r'(.+?)\s+\(pid\s+(\d+)\)', line)
if m:
apps.append({"name": m.group(1).strip(), "pid": int(m.group(2))})
return apps
return []
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
def focus_app(self, app: str, raise_window: bool = False) -> ActionResult:
feat(computer-use): background focus-safe backend — set_value, structured windows, MIME detection Extends the cua-driver computer-use backend to drive backgrounded macOS windows without stealing keyboard or mouse focus from the foreground app. All changes target the cua-driver MCP backend and the shared dispatcher. ## cua_backend.py **Window-aware capture**: capture() now calls list_windows + get_window_state instead of the removed capture tool. Prefers structuredContent.windows (MCP 2024-11-05+ cua-driver) for zero-parse window enumeration; falls back to regex-parsed text for older builds. Stores the selected (pid, window_id) as sticky context so subsequent action calls do not need a redundant round-trip. **Action routing**: click/scroll/type_text/key all carry the sticky pid (and window_id for element-indexed clicks). type_text routes through type_text_chars (individual key events) rather than AX attribute write -- WebKit AXTextFields reject attribute writes from backgrounded processes. **Key parsing**: _parse_key_combo splits cmd+s-style strings into (key, [modifiers]) and routes to hotkey (modifier present) or press_key (bare key) -- cua-driver actual tool names. **set_value method**: new set_value(value, element) calls the cua-driver set_value MCP tool. For AXPopUpButton / HTML select in a backgrounded Safari, AXPress opens the native macOS popup which closes immediately when the app is non-frontmost; set_value AX-presses the matching child option directly (no menu required, no focus steal). **focus_app**: reimplemented as a pure window-selector (enumerates list_windows, sets sticky pid/window_id) without ever raising the window or stealing focus. **list_apps**: fixed tool name from listApps to list_apps; handles plain-text response via regex when structured data is absent. **Structured-content extraction**: _extract_tool_result now surfaces structuredContent from MCP results, enabling the list_windows window array without text parsing. **Helpers**: _parse_windows_from_text, _parse_elements_from_tree, _split_tree_text, _parse_key_combo extracted as module-level functions. ## schema.py Added set_value to the action enum with a description explaining when to prefer it over click (select/popup elements, sliders, no focus steal). Added value field for set_value payloads. ## tool.py Routed set_value action through _dispatch to backend.set_value. Added set_value to _DESTRUCTIVE_ACTIONS (approval-gated). Fixed MIME-type detection in _capture_response: cua-driver may return JPEG; detect from base64 magic bytes (/9j/ -> image/jpeg, else image/png) rather than hardcoding image/png. ## agent/display.py + run_agent.py Guard _detect_tool_failure and result-preview logic against non-string function_result values: multimodal tool results (dicts with _multimodal=True) are not string-sliceable; treat them as successes and fall back to str() for length/preview.
2026-04-24 13:39:12 -07:00
"""Target an app for subsequent actions without stealing system focus.
cua-driver background-automation never needs to bring a window to the
front: capture(app=...) already selects the right window via
list_windows. We implement focus_app as a pure window-selector
enumerate on-screen windows, find the best match for *app*, and store
its pid/window_id so that subsequent click/type calls hit the right
process.
raise_window=True is intentionally ignored: stealing the user's focus
is exactly what this backend is designed to avoid.
"""
lw_out = self._session.call_tool("list_windows", {"on_screen_only": True})
sc = lw_out.get("structuredContent") or {}
raw_windows = sc.get("windows") if sc else None
if raw_windows:
windows = [
{
"app_name": w.get("app_name", ""),
"pid": int(w["pid"]),
"window_id": int(w["window_id"]),
"z_index": w.get("z_index", 0),
}
for w in raw_windows
]
windows.sort(key=lambda w: w["z_index"])
else:
raw_text = lw_out["data"] if isinstance(lw_out["data"], str) else ""
windows = _parse_windows_from_text(raw_text)
app_lower = app.lower()
matched = [w for w in windows if app_lower in w["app_name"].lower()]
target = matched[0] if matched else (windows[0] if windows else None)
if target:
self._active_pid = target["pid"]
self._active_window_id = target["window_id"]
return ActionResult(
ok=True, action="focus_app",
message=f"Targeted {target['app_name']} (pid {self._active_pid}, "
f"window {self._active_window_id}) without raising window.",
)
return ActionResult(ok=False, action="focus_app",
message=f"No on-screen window found for app '{app}'.")
feat(computer-use): cua-driver backend, universal any-model schema Background macOS desktop control via cua-driver MCP — does NOT steal the user's cursor or keyboard focus, works with any tool-capable model. Replaces the Anthropic-native `computer_20251124` approach from the abandoned #4562 with a generic OpenAI function-calling schema plus SOM (set-of-mark) captures so Claude, GPT, Gemini, and open models can all drive the desktop via numbered element indices. - `tools/computer_use/` package — swappable ComputerUseBackend ABC + CuaDriverBackend (stdio MCP client to trycua/cua's cua-driver binary). - Universal `computer_use` tool with one schema for all providers. Actions: capture (som/vision/ax), click, double_click, right_click, middle_click, drag, scroll, type, key, wait, list_apps, focus_app. - Multimodal tool-result envelope (`_multimodal=True`, OpenAI-style `content: [text, image_url]` parts) that flows through handle_function_call into the tool message. Anthropic adapter converts into native `tool_result` image blocks; OpenAI-compatible providers get the parts list directly. - Image eviction in convert_messages_to_anthropic: only the 3 most recent screenshots carry real image data; older ones become text placeholders to cap per-turn token cost. - Context compressor image pruning: old multimodal tool results have their image parts stripped instead of being skipped. - Image-aware token estimation: each image counts as a flat 1500 tokens instead of its base64 char length (~1MB would have registered as ~250K tokens before). - COMPUTER_USE_GUIDANCE system-prompt block — injected when the toolset is active. - Session DB persistence strips base64 from multimodal tool messages. - Trajectory saver normalises multimodal messages to text-only. - `hermes tools` post-setup installs cua-driver via the upstream script and prints permission-grant instructions. - CLI approval callback wired so destructive computer_use actions go through the same prompt_toolkit approval dialog as terminal commands. - Hard safety guards at the tool level: blocked type patterns (curl|bash, sudo rm -rf, fork bomb), blocked key combos (empty trash, force delete, lock screen, log out). - Skill `apple/macos-computer-use/SKILL.md` — universal (model-agnostic) workflow guide. - Docs: `user-guide/features/computer-use.md` plus reference catalog entries. 44 new tests in tests/tools/test_computer_use.py covering schema shape (universal, not Anthropic-native), dispatch routing, safety guards, multimodal envelope, Anthropic adapter conversion, screenshot eviction, context compressor pruning, image-aware token estimation, run_agent helpers, and universality guarantees. 469/469 pass across tests/tools/test_computer_use.py + the affected agent/ test suites. - `model_tools.py` provider-gating: the tool is available to every provider. Providers without multi-part tool message support will see text-only tool results (graceful degradation via `text_summary`). - Anthropic server-side `clear_tool_uses_20250919` — deferred; client-side eviction + compressor pruning cover the same cost ceiling without a beta header. - macOS only. cua-driver uses private SkyLight SPIs (SLEventPostToPid, SLPSPostEventRecordTo, _AXObserverAddNotificationAndCheckRemote) that can break on any macOS update. Pin with HERMES_CUA_DRIVER_VERSION. - Requires Accessibility + Screen Recording permissions — the post-setup prints the Settings path. Supersedes PR #4562 (pyautogui/Quartz foreground backend, Anthropic- native schema). Credit @0xbyt4 for the original #3816 groundwork whose context/eviction/token design is preserved here in generic form.
2026-04-23 16:44:24 -07:00
# ── Internal ───────────────────────────────────────────────────
def _action(self, name: str, args: Dict[str, Any]) -> ActionResult:
try:
out = self._session.call_tool(name, args)
except Exception as e:
logger.exception("cua-driver %s call failed", name)
return ActionResult(ok=False, action=name, message=f"cua-driver error: {e}")
ok = not out["isError"]
message = ""
data = out["data"]
if isinstance(data, dict):
message = str(data.get("message", ""))
elif isinstance(data, str):
message = data
return ActionResult(ok=ok, action=name, message=message,
meta=data if isinstance(data, dict) else {})
def _parse_element(d: Dict[str, Any]) -> UIElement:
bounds = d.get("bounds") or (0, 0, 0, 0)
if isinstance(bounds, dict):
bounds = (
int(bounds.get("x", 0)),
int(bounds.get("y", 0)),
int(bounds.get("w", bounds.get("width", 0))),
int(bounds.get("h", bounds.get("height", 0))),
)
elif isinstance(bounds, (list, tuple)) and len(bounds) == 4:
bounds = tuple(int(v) for v in bounds)
else:
bounds = (0, 0, 0, 0)
return UIElement(
index=int(d.get("index", 0)),
role=str(d.get("role", "") or ""),
label=str(d.get("label", "") or ""),
bounds=bounds, # type: ignore[arg-type]
app=str(d.get("app", "") or ""),
pid=int(d.get("pid", 0) or 0),
window_id=int(d.get("windowId", 0) or 0),
attributes={k: v for k, v in d.items()
if k not in ("index", "role", "label", "bounds", "app", "pid", "windowId")},
)