diff --git a/test/unit_test/utils_test/test_record_input.py b/test/unit_test/utils_test/test_record_input.py
new file mode 100644
index 00000000..4d1fb4fc
--- /dev/null
+++ b/test/unit_test/utils_test/test_record_input.py
@@ -0,0 +1,85 @@
+# Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import tico
+import torch
+from tico.utils.record_input import RecordingInput
+from torch.export import export, save
+
+from test.modules.op.add import SimpleAdd
+
+
+class RecordInputTest(unittest.TestCase):
+    def test_args(self):
+        m = SimpleAdd()
+        inputs = m.get_example_inputs()
+        with RecordingInput(m) as rec:
+            m.eval()
+            m(*inputs)
+            captured_input = rec.captured_input
+
+        self.assertIsNotNone(captured_input)
+        self.assertEqual(captured_input, inputs)
+        tico.convert(m, captured_input)
+
+    def test_kwargs(self):
+        m = SimpleAdd()
+        inputs = m.get_example_inputs()
+        kwargs = {"x": inputs[0], "y": inputs[1]}
+        with RecordingInput(m) as rec:
+            m.eval()
+            m(**kwargs)
+            captured_input = rec.captured_input
+
+        self.assertIsNotNone(captured_input)
+        self.assertEqual(captured_input, inputs)
+        tico.convert(m, captured_input)
+
+    def test_args_kwargs(self):
+        m = SimpleAdd()
+        inputs = m.get_example_inputs()
+        args = (inputs[0],)
+        kwargs = {"y": inputs[1]}
+        with RecordingInput(m) as rec:
+            m.eval()
+            m(*args, **kwargs)
+            captured_input = rec.captured_input
+
+        self.assertIsNotNone(captured_input)
+        self.assertEqual(captured_input, inputs)
+        tico.convert(m, captured_input)
+
+    def test_input_to_remove(self):
+        m = SimpleAdd()
+        inputs = m.get_example_inputs()
+        with RecordingInput(m, input_to_remove=["x"]) as rec:
+            m.eval()
+            m(*inputs)
+            captured_input = rec.captured_input
+
+        self.assertIsNotNone(captured_input)
+        self.assertIsNone(captured_input[0])  # arg[0] = 'x'
+
+    def test_condition(self):
+        m = SimpleAdd()
+        inputs = m.get_example_inputs()
+        condition = lambda arg_dict: False
+        with RecordingInput(m, condition) as rec:
+            m.eval()
+            m(*inputs)
+            captured_input = rec.captured_input
+
+        self.assertEqual(captured_input, None)
diff --git a/tico/utils/record_input.py b/tico/utils/record_input.py
new file mode 100644
index 00000000..9cacd0e5
--- /dev/null
+++ b/tico/utils/record_input.py
@@ -0,0 +1,92 @@
+# Copyright (c) 2025 Samsung Electronics Co., Ltd. All Rights Reserved
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import copy
+
+import inspect
+from contextlib import contextmanager
+from typing import Callable, List, Optional
+
+import torch.nn as nn
+
+
+class RecordingInput:
+    r"""Context-manager that records the input values of model::forward()
+
+    Recording input is useful for preparing example input for torch.export
+
+    Args:
+        condition: lambda to provide the condition whether to record or not
+
+            For examples, if you want to capture only args["past_key_values"] is not None,
+            conditon = lambda args_dict: args_dict["past_key_value"] is not None
+
+        input_to_remove: list of arg names to remove
+
+            Sometimes you would like to remove some arg values to make exported graph tidy or correct
+            For example, "past_key_values" may be not None, but just an empty cache. Then,
+            input_to_remove = [ "past_key_values" ]; makes the life easy
+
+    Example::
+        >>> with RecordingInput(model, input_to_remove=input_to_remove) as rec:
+        ...     outputs = model.generate(
+        ...     **inputs,
+        ...     )
+        ...     captured_input = rec.captured_input
+        >>> circle_model = tico.convert(model, captured_input)
+    """
+
+    def __init__(
+        self,
+        module: nn.Module,
+        condition: Callable[[dict], bool] = lambda args_dict: True,
+        *,
+        input_to_remove: Optional[List[str]] = [],
+    ):
+        self.module = module
+        self.forward_org = module.forward
+        self.condition = condition
+        self.input_to_remove = input_to_remove
+        self.sig = inspect.signature(self.forward_org)
+        self.args_names = [
+            name
+            for name in self.sig.parameters.keys()
+            if name not in ("self", "kwargs")
+        ]
+        self.captured_input = None
+
+    def __enter__(self):
+        def capture_and_forward(*args, **kwargs):
+            bound = self.sig.bind(*args, **kwargs)
+            bound.apply_defaults()
+            args_dict = dict(bound.arguments)
+
+            def populate_args(args_dict, input_to_remove):
+                for key in input_to_remove:
+                    args_dict.pop(key, None)
+                args_tuple = tuple(
+                    args_dict.get(name, None) for name in self.args_names
+                )
+                return copy.deepcopy(args_tuple)
+
+            if self.condition(args_dict) and self.captured_input is None:
+                self.captured_input = populate_args(args_dict, self.input_to_remove)
+
+            return self.forward_org(*args, **kwargs)
+
+        self.module.forward = capture_and_forward
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.module.forward = self.forward_org