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/sdk/builders/task_request_builder.py

@@ -0,0 +1,256 @@
+# 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.
+
+"""Builder for TaskRequest objects using a fluent interface."""
+
+from pathlib import Path
+from typing import Generic, TypeVar, cast
+
+try:
+    from typing import Self
+except ImportError:
+    from typing import Self
+
+from artemis.constants import RECURSION_LIMIT
+from artemis.sdk.types.agent import AgentProfile
+from artemis.sdk.types.task import TaskRequest, TaskRequestCommon
+from pydantic import BaseModel
+
+TIn = TypeVar("TIn", bound=BaseModel | None)
+TOut = TypeVar("TOut", bound=BaseModel)
+
+
+class _CyFunctionDetectorMeta(type):
+    def __instancecheck__(self, instance):
+        name = type(instance).__name__
+        return (
+            name
+            in (
+                "cyfunction",
+                "cython_function_or_method",
+                "builtin_function_or_method",
+            )
+            or "cyfunction" in name.lower()
+        )
+
+
+class CyFunctionDetector(metaclass=_CyFunctionDetectorMeta):
+    pass
+
+
+class TaskRequestCommonBuilder(BaseModel):
+    """Builder class providing a fluent interface for creating TaskRequestCommon objects."""
+
+    model_config = {"ignored_types": (CyFunctionDetector,)}
+
+    def __init__(self):
+        self._max_steps = RECURSION_LIMIT
+        self._record_trace = True
+        self._trace_path = Path("artemis-traces")
+        self._llm_output_path: Path | None = None
+        self._locked_app_package: str | None = None
+        self._app_path: Path | None = None
+
+    def with_max_steps(self, max_steps: int) -> Self:
+        """Set the maximum number of steps the task can take.
+
+        Args:
+            max_steps: Maximum number of steps
+        """
+        self._max_steps = max_steps
+        return self
+
+    def with_trace_recording(self, enabled: bool = True, path: str | None = None) -> Self:
+        """Configure trace recording for the task.
+
+        Traces record screenshots and actions during execution.
+
+        Args:
+            enabled: Whether to enable trace recording
+            path: Directory path where traces should be saved
+        """
+        self._record_trace = enabled
+        if enabled and path:
+            self._trace_path = Path(path)
+        return self
+
+    def with_llm_output_saving(self, path: str) -> Self:
+        """Configure LLM output saving for the task.
+
+        Args:
+            path: Path where to save the LLM output message
+        """
+        self._llm_output_path = Path(path)
+        return self
+
+    def with_locked_app_package(self, package_name: str) -> Self:
+        """Set the app package to lock execution to.
+
+        This ensures the specified app is launched and in the foreground before
+        the agentic loop starts.
+
+        Args:
+            package_name: Package name (Android, e.g., 'com.whatsapp')
+        """
+        self._locked_app_package = package_name
+        return self
+
+    def with_app_path(self, app_path: str | Path) -> Self:
+        """Set the path to an app to install before running the task.
+
+        For Android: Path to an APK file.
+
+        The app will be installed automatically before the task starts.
+
+        Args:
+            app_path: Path to the app file to install
+        """
+        self._app_path = Path(app_path) if isinstance(app_path, str) else app_path
+        return self
+
+    def build(self) -> TaskRequestCommon:
+        """Build the TaskRequestCommon object.
+
+        Returns:
+            A configured TaskRequestCommon object
+
+        Raises:
+            ValueError: If required fields are missing
+        """
+        return TaskRequestCommon(
+            max_steps=self._max_steps,
+            record_trace=self._record_trace,
+            trace_path=self._trace_path,
+            llm_output_path=self._llm_output_path,
+            locked_app_package=self._locked_app_package,
+            app_path=self._app_path,
+        )
+
+
+class TaskRequestBuilder(TaskRequestCommonBuilder, Generic[TIn]):
+    """Builder class providing a fluent interface for creating TaskRequest objects.
+
+    This builder allows for step-by-step construction of a TaskRequest with
+    clear methods that make the configuration process intuitive and type-safe.
+
+    Examples:
+        >>> builder = TaskRequestBuilder[None](goal="Open Gmail and check unread
+        emails")
+        >>> task_request = (
+        ...     builder
+        ...     .with_max_steps(30)
+        ...     .using_profile("LowReasoning")
+        ...     .with_output_description("A list of email subjects and senders")
+        ...     .build()
+        ... )
+    """
+
+    model_config = {"ignored_types": (CyFunctionDetector,)}
+
+    def __init__(self, goal: str):
+        """Initialize an empty TaskRequestBuilder."""
+        super().__init__()
+        self._goal = goal
+        self._profile: str | AgentProfile | None = None
+        self._name: str | None = None
+        self._output_description = None
+        self._output_format: type[TIn] | None = None
+
+    @classmethod
+    def from_common(cls, goal: str, common: TaskRequestCommon):
+        res = cls(goal=goal)
+        res._max_steps = common.max_steps
+        res._record_trace = common.record_trace
+        res._trace_path = common.trace_path
+        res._llm_output_path = common.llm_output_path
+        res._locked_app_package = common.locked_app_package
+        res._app_path = common.app_path
+        return res
+
+    def using_profile(self, profile: str | AgentProfile) -> "TaskRequestBuilder[TIn]":
+        """Set the agent profile for executing the task.
+
+        Args:
+            profile: The agent profile to use
+        """
+        self._profile = profile
+        return self
+
+    def with_name(self, name: str) -> "TaskRequestBuilder[TIn]":
+        """Set the name of the task - useful when recording traces.
+
+        Otherwise, a random name will be generated.
+
+        Args:
+            name: Name of the task
+        """
+        self._name = name
+        return self
+
+    def without_llm_output_saving(self) -> Self:
+        """Disable LLM output saving for the task."""
+        self._llm_output_path = None
+        return self
+
+    def with_output_description(self, description: str) -> "TaskRequestBuilder[TIn]":
+        """Set the description of the expected output format.
+
+        This is especially useful for data extraction tasks.
+
+        Args:
+            description: Description of the expected output format
+        """
+        self._output_description = description
+        return self
+
+    def with_output_format(self, output_format: type[TOut]) -> "TaskRequestBuilder[TOut]":
+        """Set the pydantic model for the expected output format.
+
+        Args:
+            output_format: Pydantic model instance defining the output format
+        """
+        self._output_format = output_format  # type: ignore
+        return cast(TaskRequestBuilder[TOut], self)
+
+    def build(self) -> TaskRequest[TIn]:
+        """Build the TaskRequest object.
+
+        Returns:
+            A configured TaskRequest object
+
+        Raises:
+            ValueError: If required fields are missing
+        """
+        if not self._goal:
+            raise ValueError("Task goal is required")
+
+        if self._output_format and self._output_description:
+            raise ValueError("Output format and description are mutually exclusive")
+
+        task_request = TaskRequest(
+            goal=self._goal,
+            profile=self._profile.name
+            if isinstance(self._profile, AgentProfile)
+            else self._profile,
+            task_name=self._name,
+            output_description=self._output_description,
+            output_format=self._output_format,
+            max_steps=self._max_steps,
+            record_trace=self._record_trace,
+            trace_path=self._trace_path,
+            llm_output_path=self._llm_output_path,
+            locked_app_package=self._locked_app_package,
+            app_path=self._app_path,
+        )
+        return task_request