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.
121 lines
4.3 KiB
Python
121 lines
4.3 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 diagnostic agent tool for deep system logs and video inspection."""
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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.diagnoser.diagnoser import Diagnoser
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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 AskDiagnoserArgs(BaseModel):
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"""Arguments schema for invoking the diagnostic subagent."""
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model_config = {"ignored_types": (CyFunctionDetector,)}
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query: str = Field(
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...,
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description=(
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"The diagnostic query or what you want to investigate. Please"
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" provide a specific, narrow time range if applicable."
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),
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)
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async def _run_diagnoser_logic(
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ctx: ArtemisContext | None,
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state: State | None,
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query: str,
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) -> str:
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logger.info(f"ask_diagnoser tool called with query: {query}")
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if ctx is None:
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return ToolFailure("Error: ArtemisContext is required for Diagnoser.")
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agent = Diagnoser(ctx)
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try:
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result = await agent.run(query, state)
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return f"Diagnoser replied:\n{result}"
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except Exception as e: # pylint: disable=broad-exception-caught
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logger.error(f"Failed to run diagnoser: {e}")
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return f"Diagnoser failed: {e}"
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class AskDiagnoserTool(ArtemisTool):
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"""Universal tool for invoking the Diagnoser subagent to inspect logs and videos."""
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def __init__(self):
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super().__init__(
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name="ask_diagnoser",
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description=(
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"[DIAGNOSTIC] Analyzes system logs (ADB) and video recordings to "
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"pinpoint the root cause of a step failure, screen freeze, or "
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"unexpected UI drift. Use it when the live screen does not explain "
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"why an action is not taking effect or why progress is stalled, "
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"before committing to further physical actions. Note: When querying "
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"video files, specify a narrow timeframe (e.g., '[10s, 20s]') for "
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"faster analysis."
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),
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args_schema=AskDiagnoserArgs,
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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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query: str | None = None,
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state: State | None = None,
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**kwargs: Any,
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) -> str:
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q = query or kwargs.get("Query") or ""
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st = state if state is not None else kwargs.get("state")
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return await _run_diagnoser_logic(ctx, st, q)
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# Universal tool instance & aliases
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ask_diagnoser = AskDiagnoserTool()
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AskDiagnoser = AskDiagnoserTool
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DiagnosticTool = AskDiagnoserTool
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def get_ask_diagnostic_agent_tool(ctx: ArtemisContext) -> BaseTool:
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"""Exports ask_diagnoser as a LangChain BaseTool."""
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return trace_langchain_tool(ask_diagnoser.to_langchain_tool(ctx), ctx)
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def get_ask_diagnoser_tool(ctx: ArtemisContext) -> BaseTool:
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"""Exports ask_diagnoser as a LangChain BaseTool (standard naming alias)."""
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return trace_langchain_tool(ask_diagnoser.to_langchain_tool(ctx), ctx)
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ask_diagnoser_wrapper = ToolWrapper(
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tool_fn_getter=get_ask_diagnostic_agent_tool,
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on_success_fn=lambda output: f"Diagnoser replied:\n{output}",
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on_failure_fn=lambda error: f"Diagnoser failed: {error}",
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)
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