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/telemetry/models.py

@@ -0,0 +1,64 @@
+# 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.
+
+"""Telemetry Data Models and Schema Definitions."""
+
+from enum import Enum
+import time
+from typing import Any
+from uuid import uuid4
+from pydantic import BaseModel, Field
+
+
+class SpanType(str, Enum):
+    AGENT = "agent"
+    LLM_CALL = "llm_call"
+    TOOL_EXECUTION = "tool_execution"
+    DEVICE_ACTION = "device_action"
+    SCREEN_CAPTURE = "screen_capture"
+    CUSTOM = "custom"
+
+
+class TokenUsage(BaseModel):
+    """LLM token consumption metrics."""
+
+    prompt_tokens: int = Field(default=0, description="Input prompt tokens")
+    completion_tokens: int = Field(default=0, description="Output generated tokens")
+    total_tokens: int = Field(default=0, description="Total tokens consumed")
+
+
+class TelemetrySpan(BaseModel):
+    """Structured telemetry span representing a single unit of agentic execution."""
+
+    span_id: str = Field(default_factory=lambda: str(uuid4()))
+    trace_id: str = Field(..., description="Root trace/session identifier")
+    parent_id: str | None = Field(default=None, description="Parent span identifier")
+    name: str = Field(..., description="Human-readable span operation name")
+    type: SpanType = Field(default=SpanType.CUSTOM, description="Span categorization")
+    start_time: float = Field(default_factory=time.time, description="Start timestamp")
+    end_time: float | None = Field(default=None, description="Completion timestamp")
+    duration_ms: float | None = Field(default=None, description="Elapsed execution time in ms")
+    status: str = Field(default="running", description="Status ('running', 'success', 'failed')")
+    payload: dict[str, Any] = Field(
+        default_factory=dict, description="Custom parameters and payloads"
+    )
+    error: str | None = Field(default=None, description="Exception message if failed")
+    token_usage: TokenUsage | None = Field(default=None, description="Token consumption metrics")
+
+    def finish(self, status: str = "success", error: str | None = None) -> None:
+        """Closes the span and calculates duration."""
+        self.end_time = time.time()
+        self.duration_ms = (self.end_time - self.start_time) * 1000.0
+        self.status = status
+        self.error = error