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chore: import upstream snapshot with attribution
2026-07-13 13:10:45 +08:00

62 lines
1.7 KiB
Python

"""Composite investigation capability and agent-callable tool."""
from __future__ import annotations
from typing import Any
from core.tool_framework.tool_decorator import tool
from tools.investigation.capability import (
astream_investigation,
build_investigation_payload,
resolve_investigation_context,
run_investigation,
run_investigation_payload,
)
@tool(
name="run_investigation",
display_name="Run investigation",
source="knowledge",
description=(
"Run the full OpenSRE investigation workflow for an alert or incident description."
),
side_effect_level="external",
surfaces=("chat",),
tags=("investigation", "composite"),
input_schema={
"type": "object",
"properties": {
"raw_alert": {
"type": "string",
"description": "Alert JSON or a concrete incident description to investigate.",
},
"opensre_evaluate": {
"type": "boolean",
"default": False,
"description": "Whether to run optional OpenSRE rubric evaluation.",
},
},
"required": ["raw_alert"],
},
)
def run_investigation_tool(
raw_alert: str,
opensre_evaluate: bool = False,
) -> dict[str, Any]:
"""Agent-callable wrapper around the product investigation workflow."""
return run_investigation_payload(
raw_alert=raw_alert,
opensre_evaluate=opensre_evaluate,
)
__all__ = [
"astream_investigation",
"build_investigation_payload",
"resolve_investigation_context",
"run_investigation",
"run_investigation_payload",
"run_investigation_tool",
]