diff --git a/src/google/adk/models/google_llm.py b/src/google/adk/models/google_llm.py
index 23c9c27810..5cd87ee922 100644
--- a/src/google/adk/models/google_llm.py
+++ b/src/google/adk/models/google_llm.py
@@ -553,6 +553,21 @@ def _build_request_log(req: LlmRequest) -> str:
 """
 
 
+def _get_text_from_response(resp: types.GenerateContentResponse) -> str:
+  """Extract text from a GenerateContentResponse without triggering warnings.
+
+  The resp.text property emits a UserWarning when the response contains
+  non-text parts (e.g. function_call).  This helper iterates over parts
+  directly to avoid that warning.
+  """
+  if not resp.candidates:
+    return ''
+  parts = resp.candidates[0].content.parts if resp.candidates[0].content else []
+  if not parts:
+    return ''
+  return ''.join(part.text for part in parts if part.text)
+
+
 def _build_response_log(resp: types.GenerateContentResponse) -> str:
   function_calls_text = []
   if function_calls := resp.function_calls:
@@ -560,11 +575,12 @@ def _build_response_log(resp: types.GenerateContentResponse) -> str:
       function_calls_text.append(
           f'name: {func_call.name}, args: {func_call.args}'
       )
+  text = _get_text_from_response(resp)
   return f"""
 LLM Response:
 -----------------------------------------------------------
 Text:
-{resp.text}
+{text}
 -----------------------------------------------------------
 Function calls:
 {_NEW_LINE.join(function_calls_text)}
diff --git a/tests/unittests/models/test_google_llm.py b/tests/unittests/models/test_google_llm.py
index 70aa01b69d..fe5fc833d1 100644
--- a/tests/unittests/models/test_google_llm.py
+++ b/tests/unittests/models/test_google_llm.py
@@ -14,6 +14,7 @@
 
 import os
 import sys
+import warnings
 from typing import Optional
 from unittest import mock
 from unittest.mock import AsyncMock
@@ -24,6 +25,8 @@
 from google.adk.models.gemini_llm_connection import GeminiLlmConnection
 from google.adk.models.google_llm import _build_function_declaration_log
 from google.adk.models.google_llm import _build_request_log
+from google.adk.models.google_llm import _build_response_log
+from google.adk.models.google_llm import _get_text_from_response
 from google.adk.models.google_llm import _RESOURCE_EXHAUSTED_POSSIBLE_FIX_MESSAGE
 from google.adk.models.google_llm import _ResourceExhaustedError
 from google.adk.models.google_llm import Gemini
@@ -2140,3 +2143,108 @@ async def __aexit__(self, *args):
       # Verify the final speech_config is still None
       assert config_arg.speech_config is None
       assert isinstance(connection, GeminiLlmConnection)
+
+
+class TestGetTextFromResponse:
+  """Tests for _get_text_from_response helper."""
+
+  def test_text_only_response(self):
+    """Text-only responses should return the text."""
+    resp = types.GenerateContentResponse(
+        candidates=[
+            types.Candidate(
+                content=Content(
+                    role="model",
+                    parts=[Part.from_text(text="Hello world")],
+                ),
+            )
+        ]
+    )
+    assert _get_text_from_response(resp) == "Hello world"
+
+  def test_function_call_response_no_warning(self):
+    """Function-call responses must not trigger a UserWarning."""
+    resp = types.GenerateContentResponse(
+        candidates=[
+            types.Candidate(
+                content=Content(
+                    role="model",
+                    parts=[
+                        Part(
+                            function_call=types.FunctionCall(
+                                name="my_tool", args={"q": "test"}
+                            )
+                        )
+                    ],
+                ),
+            )
+        ]
+    )
+    with warnings.catch_warnings():
+      warnings.simplefilter("error")
+      text = _get_text_from_response(resp)
+    assert text == ""
+
+  def test_mixed_parts_no_warning(self):
+    """Mixed text + function_call responses should extract text without warning."""
+    resp = types.GenerateContentResponse(
+        candidates=[
+            types.Candidate(
+                content=Content(
+                    role="model",
+                    parts=[
+                        Part.from_text(text="Calling tool..."),
+                        Part(
+                            function_call=types.FunctionCall(
+                                name="my_tool", args={}
+                            )
+                        ),
+                    ],
+                ),
+            )
+        ]
+    )
+    with warnings.catch_warnings():
+      warnings.simplefilter("error")
+      text = _get_text_from_response(resp)
+    assert text == "Calling tool..."
+
+  def test_empty_candidates(self):
+    """Empty candidates should return empty string."""
+    resp = types.GenerateContentResponse(candidates=[])
+    assert _get_text_from_response(resp) == ""
+
+  def test_none_content(self):
+    """Candidate with None content should return empty string."""
+    resp = types.GenerateContentResponse(
+        candidates=[types.Candidate(content=None)]
+    )
+    assert _get_text_from_response(resp) == ""
+
+
+class TestBuildResponseLogNoWarning:
+  """Test that _build_response_log does not trigger warnings on function calls."""
+
+  def test_function_call_log_no_warning(self):
+    """Regression test for https://github.com/google/adk-python/issues/4685."""
+    resp = types.GenerateContentResponse(
+        candidates=[
+            types.Candidate(
+                content=Content(
+                    role="model",
+                    parts=[
+                        Part(
+                            function_call=types.FunctionCall(
+                                name="my_tool", args={"question": "2+2"}
+                            )
+                        )
+                    ],
+                ),
+                finish_reason=types.FinishReason.STOP,
+            )
+        ]
+    )
+    with warnings.catch_warnings():
+      warnings.simplefilter("error")
+      log = _build_response_log(resp)
+    assert "my_tool" in log