feat: initial release of ARTEMIS Android Agent & Automation Platform

ARTEMIS is an autonomous multimodal Android agent and mobile UI automation
platform engineered for physical devices and emulators. It combines state-of-the-art
multimodal Vision-Language Models (VLMs) with hierarchical closed-loop planning,
resilient self-healing, and deep Android subsystem integration.

Key Features & Architectural Highlights:
- Dual-Engine Orchestration:
  * Pro Engine: Multi-agent closed-loop (Planner -> Operator -> Validator/Failure Analyzer -> Summarizer) powered by LangGraph.
  * Flash Engine: Ultra-fast reactive loop for deterministic, low-latency UI execution (<35 steps).
- Multimodal Perception & Grounding:
  * Hybrid visual screenshot grounding, real-time OCR extraction, and XML accessibility hierarchy parsing.
  * Dynamic-First, Coordinate-Fallback locating strategy for maximum resilience against UI drift.
- Autonomous Self-Healing & Diagnostics:
  * Failure analyzer and safety net for popup dismissal, crash recovery, and auto-retry.
  * Diagnostic sub-agents for log analysis, video recording inspection, and object detection.
- Unified CLI & Python SDK:
  * Rich CLI with commands: init, doctor, run, trace, batch, bench, server, and mcp.
  * Fluent Python SDK with Pydantic structured output models and package locking.
- Multi-Provider LLM Architecture:
  * Support for Google Gemini, OpenAI, Anthropic Claude, Vertex AI, OpenRouter, xAI Grok, and local endpoints (Ollama/vLLM).
  * Centralized configuration in config/artemis.jsonc.
- Native MCP & Observability:
  * Model Context Protocol (MCP) server endpoints for AI IDEs.
  * Full trace recording with before/after screenshots, action overlays, and execution replays.

Change-Id: I430b93ee2b76b54cc5a3c6eeccd15d2cf29830a1
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somew1nd committed 2026-08-13 11:46:47 -07:00
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import asyncio
from typing import Any, Literal
from langchain_core.messages import ToolMessage
from langchain_core.tools import BaseTool
from langgraph.types import Command
from pydantic import BaseModel, Field
from artemis.constants import VALIDATOR_MESSAGES_KEY
from artemis.context import ArtemisContext
from artemis.controllers.unified_controller import UnifiedMobileController
from artemis.data_engine.trace import trace_langchain_tool
from artemis.drivers.base import BaseDeviceDriver
from artemis.graph.state import State
from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
from artemis.tools.tool_wrapper import ToolWrapper
from artemis.tools.types import CyFunctionDetector
from artemis.utils.coordinates import parse_swipe_parameters
from artemis.utils.logger import get_logger
logger = get_logger(__name__)
class ClickArgs(BaseModel):
"""Arguments schema for clicking on normalized coordinates."""
model_config = {"ignored_types": (CyFunctionDetector,)}
target: list[int] = Field(
...,
description=("Click target normalized coordinates [x, y] in 0-1000 scale."),
)
class LongPressArgs(BaseModel):
"""Arguments schema for long pressing on normalized coordinates."""
model_config = {"ignored_types": (CyFunctionDetector,)}
target: list[int] = Field(
...,
description=("Long press target normalized coordinates [x, y] in 0-1000 scale."),
)
duration: int = Field(1000, description="Long press duration in milliseconds (default 1000).")
class InputTextArgs(BaseModel):
"""Arguments schema for inputting text into normalized coordinates."""
model_config = {"ignored_types": (CyFunctionDetector,)}
text: str = Field(
...,
description="The text content to input. Supports multi-line strings with '\\n'.",
)
target: list[int] = Field(
...,
description=("Input target field normalized coordinates [x, y] in 0-1000 scale."),
)
clear_exist: bool = Field(
True,
description=(
"Whether to clear existing text before typing (True to replace all"
" text, False to append at the end of existing content)."
),
)
class SwipeArgs(BaseModel):
"""Arguments schema for performing swipe gestures."""
model_config = {"ignored_types": (CyFunctionDetector,)}
direction: Literal["up", "down", "left", "right"] | None = Field(
None,
description=(
"Smart directional swipe ('up', 'down', 'left', 'right') for general page"
" scrolling/browsing. Automatically applies safe vectors and a ~40% visual"
" overlap anchor: 'up' (drags bottom-to-top, scrolling down to reveal content below),"
" 'down' (drags top-to-bottom, scrolling up to reveal content above),"
" 'left' (drags right-to-left, scrolling right),"
" 'right' (drags left-to-right, scrolling left)."
),
)
start: list[int] | None = Field(
None,
description=(
"Start normalized coordinates [start_x, start_y] in 0-1000 scale for precise,"
" local interactions (e.g. adjusting sliders, SeekBars, fine range selection, or drag-and-drop)."
),
)
end: list[int] | None = Field(
None,
description=(
"End normalized coordinates [end_x, end_y] in 0-1000 scale for precise,"
" local interactions (e.g. adjusting sliders, SeekBars, fine range selection, or drag-and-drop)."
),
)
action: Literal["up", "down", "left", "right"] | list[int] | None = Field(
None,
description=(
"Backward-compatible swipe gesture: smart direction string ('up', 'down', 'left', 'right')"
" OR precise custom coordinates [start_x, start_y, end_x, end_y] in 0-1000 scale."
),
)
duration: int = Field(
400,
description=(
"Optional swipe/drag duration in milliseconds (default 400). For drag-and-drop,"
" list reordering, or sliding/adjusting sliders (e.g., volume, brightness, SeekBars),"
" set duration >= 1000 (e.g. 1500). If omitted for directional swipe, duration is computed automatically."
),
)
class PressKeyArgs(BaseModel):
"""Arguments schema for pressing system keys."""
model_config = {"ignored_types": (CyFunctionDetector,)}
key: Literal["ENTER", "BACK", "HOME", "APP_SWITCH"] = Field(
...,
description=("Standard Android system button name (ENTER, BACK, HOME, APP_SWITCH)."),
)
CLICK_DOCSTRING = "[ACTION] Click on the target normalized coordinates on the screen."
class ClickTool(ArtemisTool):
"""Universal tool for clicking on target normalized coordinates on the screen."""
def __init__(self, category: ToolCategory = "action"):
super().__init__(
name="click",
description=CLICK_DOCSTRING,
args_schema=ClickArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-locals
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
target: list[int] | None = None,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
tgt = target if target is not None else (kwargs.get("target") or kwargs.get("Target") or [])
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
width = 1080
height = 2400
if ctx and hasattr(ctx, "device") and ctx.device:
width = getattr(ctx.device, "device_width", 1080)
height = getattr(ctx.device, "device_height", 2400)
elif driver and hasattr(driver, "screen_size"):
width, height = driver.screen_size
try:
if not tgt or len(tgt) < 2:
raise ValueError(f"Invalid target coordinates: {tgt}")
nx, ny = tgt[0], tgt[1]
x = int(max(0, min(width - 1, nx * width / 1000)))
y = int(max(0, min(height - 1, ny * height / 1000)))
if driver is not None and hasattr(driver, "tap"):
success = await driver.tap(x, y)
outcome = (
f"Clicked at [{nx}, {ny}] (normalized) successfully."
if success
else f"Click failed at {tgt}"
)
elif ctx is not None:
controller = UnifiedMobileController(ctx)
result = await controller.tap_at(x, y)
success = result.error is None
outcome = (
f"Clicked at [{nx}, {ny}] (normalized) successfully."
if success
else f"Failed to click: {result.error}"
)
else:
success = False
outcome = "Error during click: No driver or context provided."
except Exception as e: # pylint: disable=broad-exception-caught
success = False
outcome = f"Error during click: {e}"
if st and callable(getattr(st, "asanitize_update", None)):
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=outcome,
status="success" if success else "error",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={VALIDATOR_MESSAGES_KEY: [tool_message]},
agent="validator",
)
)
return outcome
# Universal tool instance & aliases
click = ClickTool()
Click = ClickTool
ToolRegistry.register(click)
def get_click_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports click as a LangChain BaseTool."""
return trace_langchain_tool(click.to_langchain_tool(ctx), ctx)
LONG_PRESS_DOCSTRING = "[ACTION] Long press on the target normalized coordinates on the screen."
class LongPressTool(ArtemisTool):
"""Universal tool for long pressing on target normalized coordinates on the screen."""
def __init__(self, category: ToolCategory = "action"):
super().__init__(
name="long_press",
description=LONG_PRESS_DOCSTRING,
args_schema=LongPressArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-locals
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
target: list[int] | None = None,
duration: int = 1000,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
tgt = target if target is not None else (kwargs.get("target") or kwargs.get("Target") or [])
dur = (
duration
if duration is not None
else (kwargs.get("duration") or kwargs.get("Duration") or 1000)
)
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
width = 1080
height = 2400
if ctx and hasattr(ctx, "device") and ctx.device:
width = getattr(ctx.device, "device_width", 1080)
height = getattr(ctx.device, "device_height", 2400)
elif driver and hasattr(driver, "screen_size"):
width, height = driver.screen_size
try:
if not tgt or len(tgt) < 2:
raise ValueError(f"Invalid target coordinates: {tgt}")
nx, ny = tgt[0], tgt[1]
x = int(max(0, min(width - 1, nx * width / 1000)))
y = int(max(0, min(height - 1, ny * height / 1000)))
if driver is not None and hasattr(driver, "long_press"):
success = await driver.long_press(x, y, duration_ms=dur)
outcome = (
f"Long pressed at [{nx}, {ny}] (normalized) successfully."
if success
else f"Failed to long press: Long press failed at {tgt}"
)
elif ctx is not None:
controller = UnifiedMobileController(ctx)
result = await controller.tap_at(x, y, long_press=True, long_press_duration=dur)
success = result.error is None
outcome = (
f"Long pressed at [{nx}, {ny}] (normalized) successfully."
if success
else f"Failed to long press: {result.error}"
)
else:
success = False
outcome = "Error during long press: No driver or context provided."
except Exception as e: # pylint: disable=broad-exception-caught
success = False
outcome = f"Error during long press: {e}"
if st and callable(getattr(st, "asanitize_update", None)):
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=outcome,
status="success" if success else "error",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={VALIDATOR_MESSAGES_KEY: [tool_message]},
agent="validator",
)
)
return outcome
# Universal tool instance & aliases
long_press = LongPressTool()
LongPress = LongPressTool
ToolRegistry.register(long_press)
def get_long_press_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports long_press as a LangChain BaseTool."""
return trace_langchain_tool(long_press.to_langchain_tool(ctx), ctx)
INPUT_TEXT_DOCSTRING = "[ACTION] Type text into the target input field coordinates."
class InputTextTool(ArtemisTool):
"""Universal tool for typing text into target input field coordinates."""
def __init__(self, category: ToolCategory = "action"):
super().__init__(
name="input_text",
description=INPUT_TEXT_DOCSTRING,
args_schema=InputTextArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-locals
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
text: str | None = None,
target: list[int] | None = None,
clear_exist: bool = True,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
txt = text if text is not None else (kwargs.get("text") or kwargs.get("Text") or "")
tgt = target if target is not None else (kwargs.get("target") or kwargs.get("Target") or [])
clr = (
clear_exist
if clear_exist is not None
else kwargs.get("clear_exist", kwargs.get("ClearExist", True))
)
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
width = 1080
height = 2400
if ctx and hasattr(ctx, "device") and ctx.device:
width = getattr(ctx.device, "device_width", 1080)
height = getattr(ctx.device, "device_height", 2400)
elif driver and hasattr(driver, "screen_size"):
width, height = driver.screen_size
try:
if not tgt or len(tgt) < 2:
raise ValueError(f"Invalid target coordinates: {tgt}")
nx, ny = tgt[0], tgt[1]
x = int(max(0, min(width - 1, nx * width / 1000)))
y = int(max(0, min(height - 1, ny * height / 1000)))
if driver is not None and hasattr(driver, "input_text"):
await driver.tap(x, y)
await asyncio.sleep(0.2)
success = await driver.input_text(txt, clear_existing=clr)
outcome = (
f"Typed '{txt}' successfully."
if success
else f"Failed to input text into {tgt}"
)
elif ctx is not None:
controller = UnifiedMobileController(ctx)
tap_result = await controller.tap_at(x, y)
if tap_result.error:
raise RuntimeError(f"Failed to focus input field: {tap_result.error}")
if clr:
await controller.erase_text()
else:
await controller.press_key("123") # Move to end
success = await controller.type_text(txt, clear_existing=False)
outcome = f"Typed '{txt}' successfully." if success else "Failed to type text."
else:
success = False
outcome = "Error during input text: No driver or context provided."
except Exception as e: # pylint: disable=broad-exception-caught
success = False
outcome = f"Error during input text: {e}"
if st and callable(getattr(st, "asanitize_update", None)):
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=outcome,
status="success" if success else "error",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={VALIDATOR_MESSAGES_KEY: [tool_message]},
agent="validator",
)
)
return outcome
# Universal tool instance & aliases
input_text = InputTextTool()
InputText = InputTextTool
ToolRegistry.register(input_text)
def get_input_text_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports input_text as a LangChain BaseTool."""
return trace_langchain_tool(input_text.to_langchain_tool(ctx), ctx)
SWIPE_DOCSTRING = (
"[ACTION] Perform a swipe, drag, or slider-adjustment gesture on the"
" screen.\n\n"
"• Smart Directional Scrolling ('direction'): Best for general browsing"
" and page scrolling. Automatically computes safe swipe vectors (locking"
" axes to prevent edge/sidebar mis-clicks), retains a ~40% visual overlap"
" anchor for zero-omission traversal, and prevents inertial flings.\n"
"• Precise Coordinate Gestures ('start', 'end'): Best for local,"
" fine-grained interactions such as adjusting sliders/SeekBars (e.g.,"
" volume, brightness, progress bars) or drag-and-drop / list reordering."
" Always drag slightly PAST the target position to overcome touch slop"
" and reliably trigger the update. When setting a slider to Maximum (100%)"
" or Minimum (0%), swipe fully to the extreme boundary."
)
class SwipeTool(ArtemisTool):
"""Universal tool for performing swipe gestures on the screen."""
def __init__(self, category: ToolCategory = "action"):
super().__init__(
name="swipe",
description=SWIPE_DOCSTRING,
args_schema=SwipeArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-branches,too-many-locals,too-many-statements
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
action: Literal["up", "down", "left", "right"] | list[int] | str | None = None,
direction: Literal["up", "down", "left", "right"] | str | None = None,
start: list[int] | None = None,
end: list[int] | None = None,
duration: int = 400,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
params = dict(kwargs)
if action is not None:
params["action"] = action
if direction is not None:
params["direction"] = direction
if start is not None:
params["start"] = start
if end is not None:
params["end"] = end
if duration is not None:
params["duration"] = duration
kind, target, dur = parse_swipe_parameters(params, default_duration=duration or 400)
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
width = 1080
height = 2400
if ctx and hasattr(ctx, "device") and ctx.device:
width = getattr(ctx.device, "device_width", 1080)
height = getattr(ctx.device, "device_height", 2400)
elif driver and hasattr(driver, "screen_size"):
width, height = driver.screen_size
try:
if kind is None or target is None:
raise ValueError(
f"Invalid swipe action parameter: {action or direction or (start, end) or kwargs}"
)
if (
driver is not None
and hasattr(driver, "swipe_direction")
and hasattr(driver, "swipe")
):
if kind == "direction" and isinstance(target, str):
success = await driver.swipe_direction(target, duration_ms=dur)
outcome = (
"Swipe completed successfully." if success else f"Swipe {target} failed"
)
elif kind == "coords" and isinstance(target, list) and len(target) == 4:
start_x = int(max(0, min(width - 1, target[0] * width / 1000)))
start_y = int(max(0, min(height - 1, target[1] * height / 1000)))
end_x = int(max(0, min(width - 1, target[2] * width / 1000)))
end_y = int(max(0, min(height - 1, target[3] * height / 1000)))
success = await driver.swipe(start_x, start_y, end_x, end_y, duration_ms=dur)
outcome = (
"Swipe completed successfully."
if success
else f"Swipe coordinates {target} failed"
)
else:
raise ValueError(f"Invalid swipe action parameter: {target}")
elif ctx is not None:
controller = UnifiedMobileController(ctx)
if kind == "direction" and isinstance(target, str):
if target == "up":
coords = [
width // 2,
int(height * 0.8),
width // 2,
int(height * 0.2),
]
elif target == "down":
coords = [
width // 2,
int(height * 0.2),
width // 2,
int(height * 0.8),
]
elif target == "left":
coords = [
int(width * 0.8),
height // 2,
int(width * 0.2),
height // 2,
]
elif target == "right":
coords = [
int(width * 0.2),
height // 2,
int(width * 0.8),
height // 2,
]
else:
raise ValueError(f"Invalid direction: {target}")
start_x, start_y, end_x, end_y = coords
elif kind == "coords" and isinstance(target, list) and len(target) == 4:
nx1, ny1, nx2, ny2 = target
start_x = int(max(0, min(width - 1, nx1 * width / 1000)))
start_y = int(max(0, min(height - 1, ny1 * height / 1000)))
end_x = int(max(0, min(width - 1, nx2 * width / 1000)))
end_y = int(max(0, min(height - 1, ny2 * height / 1000)))
else:
raise ValueError(f"Invalid swipe action parameter: {target}")
error = await controller.swipe_coords(start_x, start_y, end_x, end_y, dur)
success = error is None
outcome = "Swipe completed successfully." if success else f"Swipe failed: {error}"
else:
success = False
outcome = "Error during swipe: No driver or context provided."
except Exception as e: # pylint: disable=broad-exception-caught
success = False
outcome = f"Error during swipe: {e}"
if st and callable(getattr(st, "asanitize_update", None)):
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=outcome,
status="success" if success else "error",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={VALIDATOR_MESSAGES_KEY: [tool_message]},
agent="validator",
)
)
return outcome
# Universal tool instance & aliases
swipe = SwipeTool()
Swipe = SwipeTool
ToolRegistry.register(swipe)
def get_swipe_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports swipe as a LangChain BaseTool."""
return trace_langchain_tool(swipe.to_langchain_tool(ctx), ctx)
PRESS_KEY_DOCSTRING = "[ACTION] Press a physical or virtual system button."
class PressKeyTool(ArtemisTool):
"""Universal tool for pressing a physical or virtual system button."""
def __init__(self, category: ToolCategory = "action"):
super().__init__(
name="press_key",
description=PRESS_KEY_DOCSTRING,
args_schema=PressKeyArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
key: Literal["ENTER", "BACK", "HOME", "APP_SWITCH"] | str | None = None,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
k = key if key is not None else (kwargs.get("key") or kwargs.get("Key") or "")
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
try:
if not k:
raise ValueError("Key parameter is required.")
if driver is not None and hasattr(driver, "press_key"):
success = await driver.press_key(k)
outcome = (
f"Pressed key '{k}' successfully." if success else f"Failed to press key '{k}'."
)
elif ctx is not None:
controller = UnifiedMobileController(ctx)
success = False
if k == "ENTER":
success = await controller.press_enter()
elif k == "BACK":
success = await controller.go_back()
elif k == "HOME":
success = await controller.go_home()
elif k == "APP_SWITCH":
success = await controller.press_key("KEYCODE_APP_SWITCH")
else:
success = await controller.press_key(k)
outcome = (
f"Pressed key '{k}' successfully." if success else f"Failed to press key '{k}'."
)
else:
success = False
outcome = "Error during press key: No driver or context provided."
except Exception as e: # pylint: disable=broad-exception-caught
success = False
outcome = f"Error during press key: {e}"
if st and callable(getattr(st, "asanitize_update", None)):
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=outcome,
status="success" if success else "error",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={VALIDATOR_MESSAGES_KEY: [tool_message]},
agent="validator",
)
)
return outcome
# Universal tool instance & aliases
press_key = PressKeyTool()
PressKey = PressKeyTool
ToolRegistry.register(press_key)
def get_press_key_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports press_key as a LangChain BaseTool."""
return trace_langchain_tool(press_key.to_langchain_tool(ctx), ctx)
# Wrappers to expose
click_wrapper = ToolWrapper(
tool_fn_getter=get_click_tool,
on_success_fn=lambda *args, **kwargs: "Success",
on_failure_fn=lambda *args, **kwargs: "Failure",
)
long_press_wrapper = ToolWrapper(
tool_fn_getter=get_long_press_tool,
on_success_fn=lambda *args, **kwargs: "Success",
on_failure_fn=lambda *args, **kwargs: "Failure",
)
input_text_wrapper = ToolWrapper(
tool_fn_getter=get_input_text_tool,
on_success_fn=lambda *args, **kwargs: "Success",
on_failure_fn=lambda *args, **kwargs: "Failure",
)
swipe_wrapper = ToolWrapper(
tool_fn_getter=get_swipe_tool,
on_success_fn=lambda *args, **kwargs: "Success",
on_failure_fn=lambda *args, **kwargs: "Failure",
)
press_key_wrapper = ToolWrapper(
tool_fn_getter=get_press_key_tool,
on_success_fn=lambda *args, **kwargs: "Success",
on_failure_fn=lambda *args, **kwargs: "Failure",
)
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Any
from langchain_core.messages import ToolMessage
from langchain_core.tools import BaseTool
from langgraph.types import Command
from pydantic import BaseModel, Field
from artemis.agents.hopper.hopper import HopperOutput, hopper
from artemis.constants import VALIDATOR_MESSAGES_KEY
from artemis.context import ArtemisContext
from artemis.controllers.platform_specific_commands_controller import (
list_packages_async,
)
from artemis.data_engine.trace import trace_langchain_tool
from artemis.drivers.base import BaseDeviceDriver
from artemis.graph.state import State
from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
from artemis.tools.tool_wrapper import ToolWrapper
from artemis.tools.types import CyFunctionDetector
from artemis.utils.app_launch_utils import launch_app_with_retries
from artemis.utils.logger import get_logger
logger = get_logger(__name__)
class LaunchAppArgs(BaseModel):
"""Arguments schema for launching an application."""
model_config = {"ignored_types": (CyFunctionDetector,)}
app_name: str = Field(
...,
description="The natural language name of the application to launch.",
)
LAUNCH_APP_DOCSTRING = (
"[ACTION] Finds and launches an application on the device using its natural language name."
)
async def find_package(ctx: ArtemisContext, app_name: str, use_fallback: bool = True) -> str | None:
"""Finds the package name for a given application name.
Returns None if package not found or on error.
"""
package_cache = getattr(ctx, "package_cache", None)
if package_cache is None or not isinstance(package_cache, dict):
try:
ctx.package_cache = {}
package_cache = ctx.package_cache
except Exception: # pylint: disable=broad-exception-caught
package_cache = {}
if isinstance(package_cache, dict) and app_name in package_cache:
logger.info(f"Cache hit for app '{app_name}': {package_cache[app_name]}")
return package_cache[app_name]
try:
all_packages = await list_packages_async(ctx=ctx)
package_set = {p.strip() for p in all_packages.split("\n") if p.strip()}
# Fast path: If app_name is already directly an installed package name
if app_name in package_set:
if isinstance(package_cache, dict):
package_cache[app_name] = app_name
return app_name
hopper_output: HopperOutput = await hopper(
ctx=ctx,
request=(f"I'm looking for the package name of the following app: '{app_name}'"),
data=all_packages,
use_fallback=use_fallback,
)
if not hopper_output.found or not hopper_output.output:
if isinstance(package_cache, dict):
package_cache[app_name] = None
return None
package_name = hopper_output.output.strip()
if package_name not in package_set:
logger.warning(
f"Hopper returned package '{package_name}' for '{app_name}', "
"but it is NOT physically installed on the device!"
)
if isinstance(package_cache, dict):
package_cache[app_name] = None
return None
if isinstance(package_cache, dict):
package_cache[app_name] = package_name
return package_name
except Exception as e: # pylint: disable=broad-exception-caught
logger.error(f"Failed to find package for '{app_name}': {e}")
return None
class LaunchAppTool(ArtemisTool):
"""Universal tool for finding and launching an application on the device."""
def __init__(self, category: ToolCategory = "action"):
super().__init__(
name="launch_app",
description=LAUNCH_APP_DOCSTRING,
args_schema=LaunchAppArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-locals
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
app_name: str | None = None,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
app = (
app_name
if app_name is not None
else (kwargs.get("app_name") or kwargs.get("AppName") or "")
)
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
success = False
error_msg = None
try:
if not app:
raise ValueError("app_name parameter is required.")
if ctx is not None:
package_name = await find_package(ctx=ctx, app_name=app)
if not package_name:
success = False
outcome = f"Failed to launch app '{app}': Package not found."
error_msg = "Package not found."
else:
success, error_msg = await launch_app_with_retries(
ctx=ctx, app_package=package_name
)
outcome = (
f"App '{app}' launched successfully."
if success
else f"Failed to launch app '{app}': {error_msg}"
)
elif driver is not None and hasattr(driver, "launch_app"):
success = await driver.launch_app(app)
outcome = (
f"App '{app}' launched successfully."
if success
else f"Failed to launch app '{app}'."
)
error_msg = None if success else "Launch failed."
else:
success = False
outcome = "Error during launch app: No driver or context provided."
error_msg = "No driver or context provided."
except Exception as e: # pylint: disable=broad-exception-caught
success = False
outcome = f"Error during launch app: {e}"
error_msg = str(e)
if st and callable(getattr(st, "asanitize_update", None)):
additional_kwargs = {} if success else ({"error": error_msg} if error_msg else {})
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=outcome,
additional_kwargs=additional_kwargs,
status="success" if success else "error",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={
VALIDATOR_MESSAGES_KEY: [tool_message],
},
agent="validator",
)
)
return outcome
# Universal tool instance & aliases
launch_app = LaunchAppTool()
LaunchApp = LaunchAppTool
ToolRegistry.register(launch_app)
def get_launch_app_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports launch_app as a LangChain BaseTool."""
return trace_langchain_tool(launch_app.to_langchain_tool(ctx), ctx)
launch_app_wrapper = ToolWrapper(
tool_fn_getter=get_launch_app_tool,
on_success_fn=lambda *args, **kwargs: "Success",
on_failure_fn=lambda *args, **kwargs: "Failure",
)
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from datetime import datetime, timedelta
import time
from artemis.context import ArtemisContext
from artemis.controllers.platform_specific_commands_controller import get_adb_device
from artemis.utils.logger import get_logger
logger = get_logger(__name__)
def parse_log_time(time_str: str) -> datetime:
"""Parses a log timestamp string into a datetime object."""
now = datetime.now()
current_year = now.year
def _try_parse(year: int) -> datetime | None:
for fmt in ("%Y-%m-%d %H:%M:%S.%f", "%Y-%m-%d %H:%M:%S"):
try:
return datetime.strptime(f"{year}-{time_str}", fmt)
except ValueError:
pass
return None
dt = _try_parse(current_year)
if dt is None:
raise ValueError(f"Unsupported time format: {time_str}")
# If parsed time is in the future (allowing 1 hour grace for clock drift),
# we assume it belongs to the previous year.
if dt > now + timedelta(hours=1):
prev_dt = _try_parse(current_year - 1)
if prev_dt is not None:
dt = prev_dt
return dt
def resolve_time(
time_input: str | float | None, session_start: float | None
) -> tuple[str | None, datetime | None]:
"""Resolves relative or absolute time input into formatted string and datetime."""
if time_input is None:
return None, None
if isinstance(time_input, (int, float)) or (
isinstance(time_input, str) and time_input.replace(".", "", 1).isdigit()
):
# It's relative seconds
if session_start is None:
raise ValueError("Cannot resolve relative time without session start time.")
rel_sec = float(time_input)
abs_ts = session_start + rel_sec
t_struct = time.localtime(abs_ts)
t_str = time.strftime("%m-%d %H:%M:%S", t_struct)
ms = int((abs_ts - int(abs_ts)) * 1000)
formatted_str = f"{t_str}.{ms:03d}"
dt = datetime.fromtimestamp(abs_ts)
return formatted_str, dt
# Assume it's absolute time string "MM-DD HH:MM:SS.ms"
try:
dt = parse_log_time(str(time_input))
except ValueError as e:
raise ValueError(f"Unsupported time format: {time_input}") from e
return str(time_input), dt
# pylint: disable=too-many-locals
def fetch_and_filter_logs(
ctx: ArtemisContext,
lines: int = 1000,
since_time: str | None = None,
until_time: str | None = None,
) -> str:
"""Fetches logs from ADB device and filters them by time if needed."""
device = get_adb_device(ctx)
session_start = ctx.data_engine.session_start_time if ctx.data_engine else None
since_str, since_dt = resolve_time(since_time, session_start)
_, until_dt = resolve_time(until_time, session_start)
if since_str:
try:
logger.info(f"Attempting to fetch logs since {since_str}...")
logs = device.shell(f'logcat -v threadtime -t "{since_str}"')
except Exception as e: # pylint: disable=broad-exception-caught
logger.warning(
f"Failed to fetch logs since time directly: {e}. Falling back"
" to reading lines and filtering."
)
logs = device.shell(f"logcat -v threadtime -t {lines}")
else:
logger.info(f"Reading last {lines} lines of logs...")
logs = device.shell(f"logcat -v threadtime -t {lines}")
if since_dt or until_dt:
filtered_lines = []
for line in logs.splitlines():
if len(line) >= 18:
log_time_str = line[:18]
try:
log_dt = parse_log_time(log_time_str)
if since_dt and log_dt < since_dt:
continue
if until_dt and log_dt > until_dt:
continue
filtered_lines.append(line)
except ValueError:
pass
# Cap to the requested line limit so timestamp fetches don't overflow context
if 0 < lines < len(filtered_lines):
filtered_lines = filtered_lines[-lines:]
logs = "\n".join(filtered_lines)
else:
# Ensure fallback capping even when no datetime parsing occurred
log_lines = logs.splitlines()
if 0 < lines < len(log_lines):
logs = "\n".join(log_lines[-lines:])
return logs
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import base64
import json
from pathlib import Path
from typing import Any
from langchain_core.messages import ToolMessage
from langchain_core.tools import BaseTool
from langgraph.types import Command
from pydantic import BaseModel
from artemis.constants import VALIDATOR_MESSAGES_KEY
from artemis.context import ArtemisContext
from artemis.data_engine.trace import trace_langchain_tool
from artemis.drivers.base import BaseDeviceDriver
from artemis.graph.state import State
from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
from artemis.tools.tool_wrapper import ToolWrapper
from artemis.utils.logger import get_logger
from artemis.utils.ocr_api import perform_ocr
class OcrArgs(BaseModel):
"""Arguments schema for OCR recognition."""
logger = get_logger(__name__)
OCR_DOCSTRING = (
"[EXPLORER] Performs OCR on the current screen and returns the detected"
" text along with their coordinates."
)
# pylint: disable=too-many-branches,too-many-locals,too-many-statements
async def run_ocr_core(
ctx: ArtemisContext | None = None,
state: State | None = None,
driver: BaseDeviceDriver | None = None,
) -> str:
"""Universal OCR core function: reads screenshot from state or driver and returns results."""
screenshot_b64 = None
screenshot_path = getattr(state, "latest_screenshot", None) if state else None
if screenshot_path:
if not Path(screenshot_path).exists():
logger.error(f"Screenshot file does not exist: {screenshot_path}")
raise FileNotFoundError(f"Screenshot file does not exist: {screenshot_path}")
try:
with open(screenshot_path, "rb") as f:
screenshot_b64 = base64.b64encode(f.read()).decode("utf-8")
logger.info(f"OCR loaded screenshot from file: {screenshot_path}")
except Exception as e: # pylint: disable=broad-exception-caught
logger.error(f"Failed to read screenshot from {screenshot_path}: {e}")
raise e
elif driver is not None and hasattr(driver, "get_screen_data"):
try:
screen_data = await driver.get_screen_data()
if hasattr(screen_data, "screenshot_base64") and screen_data.screenshot_base64:
screenshot_b64 = screen_data.screenshot_base64
elif hasattr(screen_data, "screenshot_bytes") and screen_data.screenshot_bytes:
screenshot_b64 = base64.b64encode(screen_data.screenshot_bytes).decode("utf-8")
elif hasattr(screen_data, "base64") and screen_data.base64:
screenshot_b64 = screen_data.base64
except Exception as e: # pylint: disable=broad-exception-caught
logger.error(f"Failed to capture screenshot from driver: {e}")
raise e
else:
logger.error("No screenshot path found in state.latest_screenshot and no driver available")
raise ValueError(
"No screenshot path found in state.latest_screenshot and no driver available"
)
if not screenshot_b64:
raise ValueError("Failed to obtain screenshot for OCR.")
width = 1080
height = 2400
try:
if ctx and hasattr(ctx, "device") and ctx.device:
w = getattr(ctx.device, "device_width", 1080)
h = getattr(ctx.device, "device_height", 2400)
if isinstance(w, int):
width = w
if isinstance(h, int):
height = h
elif driver and hasattr(driver, "screen_size") and driver.screen_size:
width, height = driver.screen_size
except Exception as e: # pylint: disable=broad-exception-caught
logger.warning(f"Failed to get device resolution for OCR normalization: {e}")
results = await perform_ocr(screenshot_b64)
if results:
normalized_results = []
for item in results:
text = item.get("text")
vertices = item.get("position") or []
# Calculate center point
x_coords = [v.get("x", 0) for v in vertices]
y_coords = [v.get("y", 0) for v in vertices]
if x_coords and y_coords:
min_x, max_x = min(x_coords), max(x_coords)
min_y, max_y = min(y_coords), max(y_coords)
center_x = (min_x + max_x) / 2
center_y = (min_y + max_y) / 2
# Normalize to 0-1000
norm_x = int(max(0, min(1000, center_x * 1000 / width)))
norm_y = int(max(0, min(1000, center_y * 1000 / height)))
normalized_results.append({"text": text, "coordinates": [norm_x, norm_y]})
else:
normalized_results.append({"text": text, "coordinates": None})
return json.dumps(normalized_results, ensure_ascii=False, indent=2)
return "No text detected on the screen."
class OcrRecognitionTool(ArtemisTool):
"""Universal tool for performing OCR on the current screen."""
def __init__(self, category: ToolCategory = "explorer"):
super().__init__(
name="ocr_recognition",
description=OCR_DOCSTRING,
args_schema=OcrArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
tool_call_id: str | None = None,
state: State | None = None,
**kwargs: Any,
) -> Any:
tcid = tool_call_id if tool_call_id is not None else kwargs.get("tool_call_id")
st = state if state is not None else kwargs.get("state")
has_failed = False
output = ""
error_message = None
try:
output = await run_ocr_core(ctx=ctx, state=st, driver=driver)
except Exception as e: # pylint: disable=broad-exception-caught
has_failed = True
error_message = f"Failed to perform OCR: {str(e)}"
if st and callable(getattr(st, "asanitize_update", None)):
tool_message = ToolMessage(
tool_call_id=tcid or "",
content=ocr_recognition_wrapper.on_failure_fn(error_message)
if has_failed
else ocr_recognition_wrapper.on_success_fn(output),
additional_kwargs={"error": error_message} if has_failed else {},
status="error" if has_failed else "success",
)
return Command(
update=await st.asanitize_update(
ctx=ctx,
update={
VALIDATOR_MESSAGES_KEY: [tool_message],
},
agent="validator",
)
)
if has_failed:
return ocr_recognition_wrapper.on_failure_fn(error_message)
return ocr_recognition_wrapper.on_success_fn(output)
# Universal tool instance & aliases
ocr_recognition = OcrRecognitionTool()
OcrRecognition = OcrRecognitionTool
OCRRecognition = OcrRecognitionTool
OcrTool = OcrRecognitionTool
ToolRegistry.register(ocr_recognition)
def get_ocr_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports ocr_recognition as a LangChain BaseTool."""
return trace_langchain_tool(ocr_recognition.to_langchain_tool(ctx), ctx)
ocr_recognition_wrapper = ToolWrapper(
tool_fn_getter=get_ocr_tool,
on_success_fn=lambda output: f"OCR Recognition successful. Results:\n{output}",
on_failure_fn=lambda error: f"OCR Recognition failed: {error}",
)
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import inspect
from typing import Any
from langchain_core.tools import BaseTool
from pydantic import BaseModel
from artemis.context import ArtemisContext
from artemis.data_engine.trace import trace_langchain_tool
from artemis.drivers.base import BaseDeviceDriver
from artemis.graph.state import State
from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
from artemis.tools.tool_wrapper import ToolWrapper
from artemis.tools.types import CyFunctionDetector
from artemis.utils.logger import get_logger
logger = get_logger(__name__)
class GetUiHierarchyArgs(BaseModel):
"""Arguments schema for getting UI hierarchy."""
model_config = {"ignored_types": (CyFunctionDetector,)}
GET_UI_HIERARCHY_DOCSTRING = (
"[DIAGNOSTIC] Retrieves the current screen UI hierarchy XML using a persistent"
" UI Automator client.\n\nUse this instead of running 'uiautomator dump'"
" command via adb shell, as it is much faster and more stable."
)
class GetUiHierarchyTool(ArtemisTool):
"""Universal tool for retrieving screen UI hierarchy XML."""
def __init__(self, category: ToolCategory = "diagnostic"):
super().__init__(
name="get_ui_hierarchy",
description=GET_UI_HIERARCHY_DOCSTRING,
args_schema=GetUiHierarchyArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments
async def execute(
self,
driver: BaseDeviceDriver | None = None,
ctx: ArtemisContext | None = None,
tool_call_id: str | None = None, # pylint: disable=unused-argument
state: State | None = None, # pylint: disable=unused-argument
**kwargs: Any,
) -> str:
try:
logger.info("get_ui_hierarchy tool called.")
if ctx is not None and getattr(ctx, "ui_adb_client", None) is not None:
xml_hierarchy = ctx.ui_adb_client.get_hierarchy()
if inspect.iscoroutine(xml_hierarchy):
xml_hierarchy = await xml_hierarchy
return str(xml_hierarchy)
if driver is not None and hasattr(driver, "get_screen_data"):
screen_data = await driver.get_screen_data()
xml_hierarchy = getattr(screen_data, "ui_hierarchy_xml", None)
if xml_hierarchy:
return str(xml_hierarchy)
return "Error retrieving UI hierarchy: No UI hierarchy in screen data."
if driver is not None and hasattr(driver, "get_ui_hierarchy"):
xml_hierarchy = await driver.get_ui_hierarchy()
if inspect.iscoroutine(xml_hierarchy):
xml_hierarchy = await xml_hierarchy
return str(xml_hierarchy)
return "Error retrieving UI hierarchy: No UI Automator client or driver provided."
except Exception as e: # pylint: disable=broad-exception-caught
logger.error(f"Failed to get UI hierarchy: {e}")
return f"Error retrieving UI hierarchy: {e}"
# Universal tool instance & aliases
get_ui_hierarchy = GetUiHierarchyTool()
GetUiHierarchy = GetUiHierarchyTool
GetUIHierarchy = GetUiHierarchyTool
ToolRegistry.register(get_ui_hierarchy)
def get_ui_hierarchy_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports get_ui_hierarchy as a LangChain BaseTool."""
return trace_langchain_tool(get_ui_hierarchy.to_langchain_tool(ctx), ctx)
ui_hierarchy_wrapper = ToolWrapper(
tool_fn_getter=get_ui_hierarchy_tool,
on_success_fn=lambda output: output,
on_failure_fn=lambda error: f"Failed to retrieve UI hierarchy: {error}",
)
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Any
from langchain_core.tools.base import BaseTool
from pydantic import BaseModel, Field
from artemis.context import ArtemisContext
from artemis.data_engine.trace import trace_langchain_tool
from artemis.drivers.base import BaseDeviceDriver
from artemis.graph.state import State
from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
from artemis.tools.mobile.log_utils import fetch_and_filter_logs
from artemis.utils.logger import get_logger
logger = get_logger(__name__)
class ReadLogsArgs(BaseModel):
"""Arguments schema for read_logs tool."""
lines: int | None = Field(
default=200,
description=(
"Number of recent log lines to read. Default is 200. Use larger"
" numbers only if necessary."
),
)
since_time: str | None = Field(
default=None,
description=(
"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
" (e.g., '15.5') to read logs since. If provided, we will try to"
" fetch logs starting from this time."
),
)
until_time: str | None = Field(
default=None,
description=(
"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
" (e.g., '20.0') to read logs until. If provided, we will filter"
" logs up to this time."
),
)
READ_LOGS_DOCSTRING = (
"[DIAGNOSTIC] Fetches raw Android logs.\n\n"
"- Use when: You need to scan logs for a time window or see the sequence"
" of events.\n"
"- Input: lines (int, optional): Number of lines to read (default 200)."
" since_time (str, optional): Timestamp or relative seconds to read since."
" until_time (str, optional): Timestamp or relative seconds to read until.\n"
"- Output: Raw log text."
)
class ReadLogsTool(ArtemisTool):
"""Universal tool for fetching raw Android logs."""
def __init__(self, category: ToolCategory = "diagnostic"):
super().__init__(
name="read_logs",
description=READ_LOGS_DOCSTRING,
args_schema=ReadLogsArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments
async def execute(
self,
driver: BaseDeviceDriver | None = None, # pylint: disable=unused-argument
ctx: ArtemisContext | None = None,
lines: int | None = 200,
since_time: str | None = None,
until_time: str | None = None,
tool_call_id: str | None = None, # pylint: disable=unused-argument
state: State | None = None, # pylint: disable=unused-argument
**kwargs: Any,
) -> str:
try:
num_lines = 200 if lines is None else lines
logs = fetch_and_filter_logs(
ctx=ctx,
lines=num_lines,
since_time=since_time,
until_time=until_time,
)
return logs
except Exception as e: # pylint: disable=broad-exception-caught
logger.error(f"Failed to read logs: {e}")
return f"Failed to read logs: {e}"
# Universal tool instance & aliases
read_logs = ReadLogsTool()
ReadLogs = ReadLogsTool
ReadLogsToolAlias = ReadLogsTool
ToolRegistry.register(read_logs)
def get_read_logs_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports read_logs as a LangChain BaseTool."""
return trace_langchain_tool(read_logs.to_langchain_tool(ctx), ctx)
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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re
from typing import Any
from langchain_core.tools.base import BaseTool
from pydantic import BaseModel, Field
from artemis.context import ArtemisContext
from artemis.data_engine.trace import trace_langchain_tool
from artemis.drivers.base import BaseDeviceDriver
from artemis.graph.state import State
from artemis.tools.base import ArtemisTool, ToolCategory, ToolRegistry
from artemis.tools.mobile.log_utils import fetch_and_filter_logs
from artemis.utils.logger import get_logger
logger = get_logger(__name__)
# pylint: disable=too-many-branches,too-many-locals,too-many-statements
def search_and_merge_logs(
logs: str,
keyword: str,
context_lines: int = 50,
is_regex: bool = False,
) -> str:
"""Searches for keyword/pattern in logs and merges overlapping context windows."""
log_lines = logs.splitlines()
if is_regex:
try:
pattern = re.compile(keyword, re.IGNORECASE)
except re.error as e:
return f"Error: Invalid regex: {e}"
else:
keyword_lower = keyword.lower()
# 1. Collect all raw match ranges
ranges = []
for i, line in enumerate(log_lines):
matched = False
if is_regex:
if pattern.search(line):
matched = True
else:
if keyword_lower in line.lower():
matched = True
if matched:
start = max(0, i - context_lines)
end = min(len(log_lines), i + context_lines + 1)
ranges.append((start, end, i))
if not ranges:
return f"No matches found for '{keyword}'."
# 2. Merge overlapping/adjacent ranges
ranges.sort(key=lambda x: x[0])
merged_ranges = []
curr_start, curr_end, curr_matches = (
ranges[0][0],
ranges[0][1],
[ranges[0][2]],
)
for start, end, match_idx in ranges[1:]:
if start <= curr_end: # Overlaps or adjacent
curr_end = max(curr_end, end)
curr_matches.append(match_idx)
else:
merged_ranges.append((curr_start, curr_end, curr_matches))
curr_start = start
curr_end = end
curr_matches = [match_idx]
merged_ranges.append((curr_start, curr_end, curr_matches))
# 3. Format output
matches = []
total_lines = 0
max_return_lines = 300
truncated = False
for start, end, match_indices in merged_ranges:
if total_lines >= max_return_lines:
truncated = True
break
match_str = ", ".join(map(str, match_indices))
matches.append(f"--- Match at line(s) {match_str} ---")
for idx in range(start, end):
line_content = log_lines[idx]
if idx in match_indices:
matches.append(f"{idx:4d}: [MATCH] {line_content}")
else:
matches.append(f"{idx:4d}: {line_content}")
total_lines += 1
if total_lines >= max_return_lines:
truncated = True
break
matches.append("-" * 20)
if truncated:
matches.append(
"\n... [SYSTEM WARNING: Output truncated to protect Context Window."
" Too many matches exceeded the 300 lines limit. You MUST use a"
" more specific keyword, narrow the time range, or use"
" context_lines=0.] ..."
)
return "\n".join(matches)
class SearchLogsArgs(BaseModel):
"""Arguments schema for search_logs tool."""
keyword: str = Field(
...,
description=("The keyword or regular expression to search for. Case-insensitive."),
)
is_regex: bool = Field(
default=False,
description=("Whether to treat keyword as a regular expression. Default is False."),
)
lines: int | None = Field(
default=10000,
description=("Number of recent log lines to search in. Default is 10000."),
)
since_time: str | None = Field(
default=None,
description=(
"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
" (e.g., '15.5') to search logs since. If provided, we will search"
" logs starting from this time."
),
)
until_time: str | None = Field(
default=None,
description=(
"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
" (e.g., '20.0') to search logs until. If provided, we will filter"
" logs up to this time."
),
)
context_lines: int | None = Field(
default=0,
description=(
"Number of lines to include before and after each match for"
" context. Default is 0. Only increase if you need more context"
" around a very specific match."
),
)
SEARCH_LOGS_DOCSTRING = (
"[DIAGNOSTIC] Searches logs for a keyword or regex pattern.\n\n"
"- Use when: Looking for specific errors, tags, or keywords without"
" reading all logs.\n"
"- Input: keyword (str): Search pattern. is_regex (bool, optional):"
" Treat keyword as regex. context_lines (int, optional): Lines around"
" match. since_time (str, optional): Timestamp or relative seconds to"
" search since. until_time (str, optional): Timestamp or relative seconds"
" to search until.\n"
"- Output: Matching lines with context."
)
class SearchLogsTool(ArtemisTool):
"""Universal tool for searching logs for keywords or regex patterns."""
def __init__(self, category: ToolCategory = "diagnostic"):
super().__init__(
name="search_logs",
description=SEARCH_LOGS_DOCSTRING,
args_schema=SearchLogsArgs,
category=category,
)
# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-locals
async def execute(
self,
driver: BaseDeviceDriver | None = None, # pylint: disable=unused-argument
ctx: ArtemisContext | None = None,
keyword: str = "",
is_regex: bool = False,
lines: int | None = 10000,
since_time: str | None = None,
until_time: str | None = None,
context_lines: int | None = 0,
tool_call_id: str | None = None, # pylint: disable=unused-argument
state: State | None = None, # pylint: disable=unused-argument
**kwargs: Any,
) -> str:
try:
num_lines = 10000 if lines is None else lines
ctx_lines = 0 if context_lines is None else context_lines
logs = fetch_and_filter_logs(
ctx=ctx,
lines=num_lines,
since_time=since_time,
until_time=until_time,
)
return search_and_merge_logs(
logs=logs,
keyword=keyword,
context_lines=ctx_lines,
is_regex=is_regex,
)
except Exception as e: # pylint: disable=broad-exception-caught
logger.error(f"Failed to search logs: {e}")
return f"Error searching logs: {e}"
# Universal tool instance & aliases
search_logs = SearchLogsTool()
SearchLogs = SearchLogsTool
SearchLogsToolAlias = SearchLogsTool
ToolRegistry.register(search_logs)
def get_search_logs_tool(ctx: ArtemisContext) -> BaseTool:
"""Exports search_logs as a LangChain BaseTool."""
return trace_langchain_tool(search_logs.to_langchain_tool(ctx), ctx)