somew1nd
12d7902a82
Fix queue cancellation, concurrency limits and worker status updates. Use direct Explorer imports, split the Diagnoser loop into helpers and remove unused tool registration and prompt-builder code. Correct model caching, endpoint selection and retry handling.
237 lines
7.8 KiB
Python
237 lines
7.8 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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import re
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from typing import Any
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from langchain_core.tools.base import BaseTool
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from pydantic import BaseModel, Field
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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, ToolCategory
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from artemis.tools.mobile.log_utils import fetch_and_filter_logs
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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-many-branches,too-many-locals,too-many-statements
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def search_and_merge_logs(
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logs: str,
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keyword: str,
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context_lines: int = 50,
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is_regex: bool = False,
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) -> str:
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"""Searches for keyword/pattern in logs and merges overlapping context windows."""
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log_lines = logs.splitlines()
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if is_regex:
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try:
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pattern = re.compile(keyword, re.IGNORECASE)
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except re.error as e:
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return f"Error: Invalid regex: {e}"
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else:
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keyword_lower = keyword.lower()
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# 1. Collect all raw match ranges
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ranges = []
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for i, line in enumerate(log_lines):
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matched = False
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if is_regex:
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if pattern.search(line):
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matched = True
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else:
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if keyword_lower in line.lower():
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matched = True
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if matched:
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start = max(0, i - context_lines)
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end = min(len(log_lines), i + context_lines + 1)
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ranges.append((start, end, i))
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if not ranges:
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return f"No matches found for '{keyword}'."
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# 2. Merge overlapping/adjacent ranges
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ranges.sort(key=lambda x: x[0])
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merged_ranges = []
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curr_start, curr_end, curr_matches = (
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ranges[0][0],
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ranges[0][1],
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[ranges[0][2]],
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)
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for start, end, match_idx in ranges[1:]:
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if start <= curr_end: # Overlaps or adjacent
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curr_end = max(curr_end, end)
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curr_matches.append(match_idx)
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else:
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merged_ranges.append((curr_start, curr_end, curr_matches))
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curr_start = start
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curr_end = end
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curr_matches = [match_idx]
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merged_ranges.append((curr_start, curr_end, curr_matches))
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# 3. Format output
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matches = []
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total_lines = 0
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max_return_lines = 300
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truncated = False
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for start, end, match_indices in merged_ranges:
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if total_lines >= max_return_lines:
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truncated = True
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break
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match_str = ", ".join(map(str, match_indices))
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matches.append(f"--- Match at line(s) {match_str} ---")
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for idx in range(start, end):
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line_content = log_lines[idx]
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if idx in match_indices:
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matches.append(f"{idx:4d}: [MATCH] {line_content}")
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else:
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matches.append(f"{idx:4d}: {line_content}")
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total_lines += 1
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if total_lines >= max_return_lines:
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truncated = True
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break
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matches.append("-" * 20)
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if truncated:
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matches.append(
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"\n... [SYSTEM WARNING: Output truncated to protect Context Window."
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" Too many matches exceeded the 300 lines limit. You MUST use a"
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" more specific keyword, narrow the time range, or use"
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" context_lines=0.] ..."
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)
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return "\n".join(matches)
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class SearchLogsArgs(BaseModel):
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"""Arguments schema for search_logs tool."""
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keyword: str = Field(
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...,
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description=("The keyword or regular expression to search for. Case-insensitive."),
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)
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is_regex: bool = Field(
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default=False,
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description=("Whether to treat keyword as a regular expression. Default is False."),
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)
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lines: int | None = Field(
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default=10000,
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description=("Number of recent log lines to search in. Default is 10000."),
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)
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since_time: str | None = Field(
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default=None,
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description=(
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"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
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" (e.g., '15.5') to search logs since. If provided, we will search"
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" logs starting from this time."
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),
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)
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until_time: str | None = Field(
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default=None,
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description=(
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"Target timestamp in 'MM-DD HH:MM:SS.ms' format OR relative seconds"
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" (e.g., '20.0') to search logs until. If provided, we will filter"
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" logs up to this time."
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),
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)
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context_lines: int | None = Field(
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default=0,
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description=(
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"Number of lines to include before and after each match for"
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" context. Default is 0. Only increase if you need more context"
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" around a very specific match."
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),
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)
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SEARCH_LOGS_DOCSTRING = (
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"[DIAGNOSTIC] Searches logs for a keyword or regex pattern.\n\n"
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"- Use when: Looking for specific errors, tags, or keywords without"
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" reading all logs.\n"
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"- Input: keyword (str): Search pattern. is_regex (bool, optional):"
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" Treat keyword as regex. context_lines (int, optional): Lines around"
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" match. since_time (str, optional): Timestamp or relative seconds to"
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" search since. until_time (str, optional): Timestamp or relative seconds"
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" to search until.\n"
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"- Output: Matching lines with context."
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)
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class SearchLogsTool(ArtemisTool):
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"""Universal tool for searching logs for keywords or regex patterns."""
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def __init__(self, category: ToolCategory = "diagnostic"):
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super().__init__(
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name="search_logs",
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description=SEARCH_LOGS_DOCSTRING,
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args_schema=SearchLogsArgs,
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category=category,
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)
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# pylint: disable=too-many-arguments,too-many-positional-arguments,too-many-locals
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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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keyword: str = "",
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is_regex: bool = False,
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lines: int | None = 10000,
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since_time: str | None = None,
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until_time: str | None = None,
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context_lines: int | None = 0,
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tool_call_id: str | None = None, # pylint: disable=unused-argument
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state: State | None = None, # pylint: disable=unused-argument
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**kwargs: Any,
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) -> str:
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try:
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num_lines = 10000 if lines is None else lines
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ctx_lines = 0 if context_lines is None else context_lines
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logs = fetch_and_filter_logs(
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ctx=ctx,
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lines=num_lines,
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since_time=since_time,
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until_time=until_time,
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)
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return search_and_merge_logs(
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logs=logs,
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keyword=keyword,
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context_lines=ctx_lines,
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is_regex=is_regex,
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)
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except Exception as e: # pylint: disable=broad-exception-caught
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logger.error(f"Failed to search logs: {e}")
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return f"Error searching logs: {e}"
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# Universal tool instance & aliases
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search_logs = SearchLogsTool()
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SearchLogs = SearchLogsTool
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SearchLogsToolAlias = SearchLogsTool
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def get_search_logs_tool(ctx: ArtemisContext) -> BaseTool:
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"""Exports search_logs as a LangChain BaseTool."""
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return trace_langchain_tool(search_logs.to_langchain_tool(ctx), ctx)
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