diff --git a/packages/bigframes/tests/system/small/bigquery/test_ai.py b/packages/bigframes/tests/system/small/bigquery/test_ai.py
index 05ebea141440..0b6738dec80a 100644
--- a/packages/bigframes/tests/system/small/bigquery/test_ai.py
+++ b/packages/bigframes/tests/system/small/bigquery/test_ai.py
@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from __future__ import annotations
+
 import uuid
 from unittest import mock
 
@@ -26,6 +28,16 @@
 from bigframes.testing import utils as test_utils
 
 
+@pytest.fixture
+def use_ibis_compiler():
+    original_setting = bpd.options.experiments.sql_compiler
+    bpd.options.experiments.sql_compiler = "legacy"
+    try:
+        yield
+    finally:
+        bpd.options.experiments.sql_compiler = original_setting
+
+
 def _create_mock_obj_ref_df(session, uris, name="image", connection=None):
     df = bpd.DataFrame({name: uris}, session=session)
     # Convert string URIs to ObjectRef structs
@@ -146,6 +158,19 @@ def test_ai_generate(session):
     )
 
 
+def test_ai_generate_access_full_response_with_ibis(session, use_ibis_compiler):
+    country = bpd.Series(["Japan", "Canada"], session=session)
+    prompt = ("What's the capital city of ", country, "? one word only")
+
+    result = (
+        bbq.ai.generate(prompt, endpoint="gemini-2.5-flash")
+        .struct.field("full_response")
+        .to_pandas()
+    )
+
+    assert _contains_no_nulls(result)
+
+
 def test_ai_generate_with_output_schema(session):
     country = bpd.Series(["Japan", "Canada"], session=session)
     prompt = ("Describe ", country)
@@ -200,6 +225,20 @@ def test_ai_generate_bool(session):
     )
 
 
+def test_ai_generate_bool_access_full_response_with_ibis(session, use_ibis_compiler):
+    s1 = bpd.Series(["apple", "bear"], session=session)
+    s2 = bpd.Series(["fruit", "tree"], session=session)
+    prompt = (s1, " is a ", s2)
+
+    result = (
+        bbq.ai.generate_bool(prompt, endpoint="gemini-2.5-flash")
+        .struct.field("full_response")
+        .to_pandas()
+    )
+
+    assert _contains_no_nulls(result)
+
+
 def test_ai_generate_bool_multi_model(session, bq_connection):
     df = _create_mock_obj_ref_df(
         session,
@@ -241,6 +280,19 @@ def test_ai_generate_int(session):
     )
 
 
+def test_ai_generate_int_access_full_response_with_ibis(session, use_ibis_compiler):
+    s = bpd.Series(["Cat"], session=session)
+    prompt = ("How many legs does a ", s, " have?")
+
+    result = (
+        bbq.ai.generate_int(prompt, endpoint="gemini-2.5-flash")
+        .struct.field("full_response")
+        .to_pandas()
+    )
+
+    assert _contains_no_nulls(result)
+
+
 def test_ai_generate_int_multi_model(session, bq_connection):
     df = _create_mock_obj_ref_df(
         session,
@@ -284,6 +336,19 @@ def test_ai_generate_double(session):
     )
 
 
+def test_ai_generate_double_access_full_response_with_ibis(session, use_ibis_compiler):
+    s = bpd.Series(["Cat"], session=session)
+    prompt = ("How many legs does a ", s, " have?")
+
+    result = (
+        bbq.ai.generate_double(prompt, endpoint="gemini-2.5-flash")
+        .struct.field("full_response")
+        .to_pandas()
+    )
+
+    assert _contains_no_nulls(result)
+
+
 def test_ai_generate_double_multi_model(session, bq_connection):
     df = _create_mock_obj_ref_df(
         session,
@@ -521,5 +586,5 @@ def test_ai_similarity_both_contents_are_string_literals(session):
     assert result.dtype == dtypes.FLOAT_DTYPE
 
 
-def _contains_no_nulls(s: series.Series) -> bool:
+def _contains_no_nulls(s: series.Series | pd.Series) -> bool:
     return len(s) == s.count()
diff --git a/packages/bigframes/third_party/bigframes_vendored/ibis/expr/operations/ai_ops.py b/packages/bigframes/third_party/bigframes_vendored/ibis/expr/operations/ai_ops.py
index fcd97c6f61b2..9fa043d0bab5 100644
--- a/packages/bigframes/third_party/bigframes_vendored/ibis/expr/operations/ai_ops.py
+++ b/packages/bigframes/third_party/bigframes_vendored/ibis/expr/operations/ai_ops.py
@@ -39,7 +39,7 @@ def dtype(self) -> dt.Struct:
         pyarrow_output_type = pa.struct(
             (
                 *output_pa_fields,
-                pa.field("full_resposne", pa.string()),
+                pa.field("full_response", pa.string()),
                 pa.field("status", pa.string()),
             )
         )
@@ -62,7 +62,7 @@ class AIGenerateBool(Value):
     @attribute
     def dtype(self) -> dt.Struct:
         return dt.Struct.from_tuples(
-            (("result", dt.bool), ("full_resposne", dt.string), ("status", dt.string))
+            (("result", dt.bool), ("full_response", dt.string), ("status", dt.string))
         )
 
 
@@ -81,7 +81,7 @@ class AIGenerateInt(Value):
     @attribute
     def dtype(self) -> dt.Struct:
         return dt.Struct.from_tuples(
-            (("result", dt.int64), ("full_resposne", dt.string), ("status", dt.string))
+            (("result", dt.int64), ("full_response", dt.string), ("status", dt.string))
         )
 
 
@@ -102,7 +102,7 @@ def dtype(self) -> dt.Struct:
         return dt.Struct.from_tuples(
             (
                 ("result", dt.float64),
-                ("full_resposne", dt.string),
+                ("full_response", dt.string),
                 ("status", dt.string),
             )
         )