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

artemis/tools/image_processor_tool.py

@@ -0,0 +1,125 @@
+# 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.
+
+"""Universal Image Processor tool for executing image transformations."""
+
+from typing import Any
+
+from langchain_core.tools import BaseTool
+from pydantic import BaseModel, Field
+
+from artemis.context import ArtemisContext
+from artemis.data_engine.trace import trace, trace_langchain_tool
+from artemis.drivers.base import BaseDeviceDriver
+from artemis.graph.state import State
+from artemis.tools.base import ArtemisTool, 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__)
+
+
+# pylint: disable=too-few-public-methods
+class AskVisionCoderArgs(BaseModel):
+    """Arguments schema for invoking the Image Processor subagent."""
+
+    model_config = {"ignored_types": (CyFunctionDetector,)}
+    instruction: str = Field(
+        ...,
+        description=(
+            "Step-by-step instructions on what image processing or"
+            " modifications should be performed."
+        ),
+    )
+    target_image_id: str = Field(
+        ...,
+        description=(
+            "The ID of the image in the Image Pool to start from (e.g. 'img_0', 'img_1')."
+        ),
+    )
+
+
+# Alias for naming consistency
+AskImageProcessorArgs = AskVisionCoderArgs
+
+
+class AskImageProcessorTool(ArtemisTool):
+    """Universal tool for executing image transformations via ImageProcessor subagent."""
+
+    def __init__(self):
+        super().__init__(
+            name="ask_image_processor",
+            description=(
+                "Call this tool to ask the image processor agent to run"
+                " complex image transformations or modifications."
+            ),
+            args_schema=AskVisionCoderArgs,
+            category="custom",
+        )
+
+    # 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,
+        instruction: str | None = None,
+        target_image_id: str | None = None,
+        state: State | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        inst = instruction or kwargs.get("Instruction") or ""
+        tid = target_image_id or kwargs.get("TargetImageId") or kwargs.get("target_image_id") or ""
+        st = state if state is not None else kwargs.get("state")
+        return await _run_image_processor_logic(ctx, st, inst, tid)
+
+
+# Universal tool instance & aliases
+ask_image_processor = AskImageProcessorTool()
+AskImageProcessor = AskImageProcessorTool
+AskVisionCoderTool = AskImageProcessorTool
+ImageProcessorTool = AskImageProcessorTool
+ToolRegistry.register(ask_image_processor)
+
+
+def get_ask_image_processor_tool(ctx: ArtemisContext) -> BaseTool:
+    """Exports ask_image_processor as a LangChain BaseTool."""
+    return trace_langchain_tool(ask_image_processor.to_langchain_tool(ctx), ctx)
+
+
+async def _run_image_processor_logic(
+    ctx: ArtemisContext | None,
+    state: State | None,
+    instruction: str,
+    target_image_id: str,  # pylint: disable=unused-argument
+) -> Any:
+    @trace(type="agent", name="image_processor", ctx=ctx)
+    async def run_image_processor_agent(inst: str, img_path: str) -> dict:
+        from artemis.agents.image_processor.image_processor import (  # pylint: disable=import-outside-toplevel
+            ImageProcessor,
+        )
+
+        agent = ImageProcessor(ctx)
+        return await agent.run(inst, img_path)
+
+    screenshot_path = state.latest_screenshot if state else None
+    result = await run_image_processor_agent(instruction, screenshot_path)
+    return result
+
+
+ask_image_processor_wrapper = ToolWrapper(
+    tool_fn_getter=get_ask_image_processor_tool,
+    on_success_fn=lambda output: f"Image Processor replied:\n{output}",
+    on_failure_fn=lambda error: f"Image Processor failed: {error}",
+)