chore: import upstream snapshot with attribution

integrations/aws_lambda/tools/lambda_errors_tool/__init__.py

@@ -0,0 +1,41 @@
+"""Lambda error logs (filtered invocation logs)."""
+
+from __future__ import annotations
+
+from core.tool_framework.tool_decorator import tool
+from integrations.aws_lambda.tools.lambda_invocation_logs_tool import (
+    _lambda_available,
+    _lambda_name,
+    get_lambda_invocation_logs,
+)
+
+
+def _extract_lambda_errors_params(sources: dict[str, dict]) -> dict:
+    return {"function_name": _lambda_name(sources), "limit": 50}
+
+
+@tool(
+    name="get_lambda_errors",
+    display_name="Lambda errors",
+    source="cloudwatch",
+    description="Get Lambda function error logs.",
+    use_cases=[
+        "Quickly finding error messages from a Lambda function",
+        "Understanding Lambda failure patterns",
+        "Identifying root cause of Lambda failures",
+    ],
+    requires=["function_name"],
+    input_schema={
+        "type": "object",
+        "properties": {
+            "function_name": {"type": "string"},
+            "limit": {"type": "integer", "default": 50},
+        },
+        "required": ["function_name"],
+    },
+    is_available=_lambda_available,
+    extract_params=_extract_lambda_errors_params,
+)
+def get_lambda_errors(function_name: str, limit: int = 50) -> dict:
+    """Get Lambda function error logs (filtered view of invocation logs)."""
+    return get_lambda_invocation_logs(function_name=function_name, filter_errors=True, limit=limit)