diff --git a/src/google/adk/models/lite_llm.py b/src/google/adk/models/lite_llm.py
index 3a6c36624d8..88488bbd0d5 100644
--- a/src/google/adk/models/lite_llm.py
+++ b/src/google/adk/models/lite_llm.py
@@ -1716,7 +1716,13 @@ def _message_to_generate_content_response(
             name=tool_call.function.name,
             args=json.loads(tool_call.function.arguments or "{}"),
         )
-        part.function_call.id = tool_call.id
+        # The signature is carried on the part, so strip it back out of the id.
+        # Leaving it there leaks base64 into anything keyed by function_call_id —
+        # artifact filenames, logs, UI — and `_content_to_message_param` re-attaches
+        # it to the outgoing tool call from `thought_signature` anyway.
+        part.function_call.id = tool_call.id.split(
+            _THOUGHT_SIGNATURE_SEPARATOR, 1
+        )[0]
         if thought_signature:
           part.thought_signature = thought_signature
         parts.append(part)
diff --git a/tests/unittests/models/test_litellm.py b/tests/unittests/models/test_litellm.py
index 9007bcf2015..6260969020e 100644
--- a/tests/unittests/models/test_litellm.py
+++ b/tests/unittests/models/test_litellm.py
@@ -2560,6 +2560,30 @@ def test_message_to_generate_content_response_preserves_thought_signature():
   assert fc_part.thought_signature == b"round_trip_sig"
 
 
+def test_message_to_generate_content_response_strips_signature_from_id():
+  """An id carrying an embedded signature is split before it reaches the part."""
+  sig_b64 = base64.b64encode(b"embedded_sig").decode("utf-8")
+  message = ChatCompletionAssistantMessage(
+      role="assistant",
+      content=None,
+      tool_calls=[
+          ChatCompletionMessageToolCall(
+              type="function",
+              id=f"call_ts_2{_THOUGHT_SIGNATURE_SEPARATOR}{sig_b64}",
+              function=Function(
+                  name="load_skill",
+                  arguments='{"skill": "my_skill"}',
+              ),
+          )
+      ],
+  )
+
+  response = _message_to_generate_content_response(message)
+  fc_part = response.content.parts[0]
+  assert fc_part.function_call.id == "call_ts_2"
+  assert fc_part.thought_signature == b"embedded_sig"
+
+
 def test_message_to_generate_content_response_no_thought_signature():
   """Parts without thought_signature have thought_signature=None."""
   message = ChatCompletionAssistantMessage(