somew1nd
a45daf23f8
Report device actions as dispatched and preserve full failure details. Route Flash through McpActionExecutor and use ToolFailure across helper tools and agent loops instead of inferring failure from response text. Require model-provided descriptions for coordinate targets. Keep observed element metadata separate from those descriptions in safety checks, visual summaries, history, and frontend labels. Add Gemini Interactions API video analysis with configurable processing mode, chunk size, and timeouts. Centralize Google provider capabilities and token usage normalization, and update google-genai to 2.22.0. Preserve system instructions on follow-up interactions, replan pending chunks when falling back to static processing, and reject unanswered native video and audio segments instead of caching placeholder results. Keep helper-tool failure status intact through history tools and committee calls. Validation: 1,762 Python unit tests passed (3 skipped), 40 frontend formatter tests passed, and the production UI build completed. Ruff lint, formatting, the quality ratchet, and git diff checks passed.
109 lines
3.7 KiB
Python
109 lines
3.7 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Universal Log Analyzer tool for inspecting and analyzing Android system logs."""
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from typing import Any
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from langchain_core.tools import BaseTool
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from pydantic import BaseModel, Field
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from artemis.core.tool_failure import ToolFailure
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from artemis.agents.log_analyzer.log_analyzer import LogAnalyzerNode
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from artemis.context import ArtemisContext
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from artemis.data_engine.trace import trace_langchain_tool
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from artemis.drivers.base import BaseDeviceDriver
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from artemis.graph.state import State
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from artemis.tools.base import ArtemisTool
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from artemis.tools.tool_wrapper import ToolWrapper
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from artemis.tools.types import CyFunctionDetector
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from artemis.utils.logger import get_logger
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logger = get_logger(__name__)
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# pylint: disable=too-few-public-methods
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class AnalyzeLogsArgs(BaseModel):
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"""Arguments schema for invoking the Log Analyzer subagent."""
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model_config = {"ignored_types": (CyFunctionDetector,)}
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specific_query: str = Field(
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...,
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description=(
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"Instructions for the log analyzer, specifying what to search for or analyze."
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),
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)
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class AnalyzeLogsTool(ArtemisTool):
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"""Universal tool for analyzing Android logs using a dedicated hybrid log analyzer agent."""
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def __init__(self):
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super().__init__(
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name="analyze_logs",
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description=(
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"[DIAGNOSTIC] Analyzes Android logs using a dedicated hybrid log analyzer agent. "
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"Use this when you need to investigate failures, check for specific error "
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"logs, or understand system events."
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),
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args_schema=AnalyzeLogsArgs,
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category="custom",
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)
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# pylint: disable=too-many-arguments,too-many-positional-arguments
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async def execute(
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self,
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driver: BaseDeviceDriver | None = None, # pylint: disable=unused-argument
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ctx: ArtemisContext | None = None,
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specific_query: str | None = None,
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state: State | None = None,
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**kwargs: Any,
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) -> Any:
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query = (
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specific_query
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if specific_query is not None
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else (
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kwargs.get("specific_query")
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or kwargs.get("SpecificQuery")
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or kwargs.get("query")
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or kwargs.get("Query")
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or ""
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)
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)
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st = state if state is not None else kwargs.get("state")
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logger.info(f"analyze_logs tool called with query: '{query}'")
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if ctx is None:
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return ToolFailure("Error: ArtemisContext is required for LogAnalyzer.")
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analyst = LogAnalyzerNode(ctx)
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result = await analyst.run(query, st)
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return result
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# Universal tool instance & aliases
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analyze_logs = AnalyzeLogsTool()
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AnalyzeLogs = AnalyzeLogsTool
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LogTool = AnalyzeLogsTool
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def get_analyze_logs_tool(ctx: ArtemisContext) -> BaseTool:
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"""Exports analyze_logs as a LangChain BaseTool."""
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return trace_langchain_tool(analyze_logs.to_langchain_tool(ctx), ctx)
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analyze_logs_wrapper = ToolWrapper(
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tool_fn_getter=get_analyze_logs_tool,
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on_success_fn=lambda output: f"Log Analyzer replied:\n{output}",
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on_failure_fn=lambda error: f"Log Analyzer failed: {error}",
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)
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