diff --git a/src/pipecat/frames/frames.py b/src/pipecat/frames/frames.py
index 858e1d973..13bf2eaa7 100644
--- a/src/pipecat/frames/frames.py
+++ b/src/pipecat/frames/frames.py
@@ -357,7 +357,14 @@ class LLMTextFrame(TextFrame):
 
 @dataclass
 class AggregatedLLMTextFrame(TextFrame):
-    """Text frame generated by Text-to-Speech services."""
+    """Text frame representing an aggregation of LLMTextFrames.
+
+    This frame contains multiple LLMTextFrames aggregated together for
+    processing or output along with a field to indicate how they are aggregated.
+
+    Parameters:
+        aggregated_by: Method used to aggregate the text frames.
+    """
 
     aggregated_by: Literal["sentence", "word"] | str
 
diff --git a/src/pipecat/processors/frameworks/rtvi.py b/src/pipecat/processors/frameworks/rtvi.py
index 8b126b5b6..dc2b63083 100644
--- a/src/pipecat/processors/frameworks/rtvi.py
+++ b/src/pipecat/processors/frameworks/rtvi.py
@@ -719,7 +719,7 @@ class RTVIBotOutputMessageData(RTVITextMessageData):
 class RTVIBotOutputMessage(BaseModel):
     """Message containing bot output text.
 
-    An event meant to wholistically represent what the bot is outputting,
+    An event meant to holistically represent what the bot is outputting,
     along with metadata about the output and if it has been spoken.
     """
 
diff --git a/src/pipecat/utils/text/base_text_aggregator.py b/src/pipecat/utils/text/base_text_aggregator.py
index 5a5196920..7405a2d04 100644
--- a/src/pipecat/utils/text/base_text_aggregator.py
+++ b/src/pipecat/utils/text/base_text_aggregator.py
@@ -23,17 +23,14 @@ class Aggregation:
     An Aggregation object is created whenever a stream of text is aggregated by
     a text aggregator. It contains the aggregated text and a type indicating
     the nature of the aggregation.
+
+    Parameters:
+        text: The aggregated text content.
+        type: The type of aggregation the text represents (e.g., 'sentence', 'word', 'token', 'my_custom_aggregation').
     """
 
-    def __init__(self, text: str, type: str):
-        """Initialize an aggregation instance.
-
-        Args:
-            text: The aggregated text content.
-            type: The type of aggregation the text represents (e.g., 'sentence', 'word', 'token', 'my_custom_aggregation').
-        """
-        self.text = text
-        self.type = type
+    text: str
+    type: str
 
     def __str__(self) -> str:
         """Return a string representation of the aggregation.
diff --git a/src/pipecat/utils/text/pattern_pair_aggregator.py b/src/pipecat/utils/text/pattern_pair_aggregator.py
index f5e33f5b8..66cf4da9f 100644
--- a/src/pipecat/utils/text/pattern_pair_aggregator.py
+++ b/src/pipecat/utils/text/pattern_pair_aggregator.py
@@ -213,7 +213,6 @@ class PatternPairAggregator(BaseTextAggregator):
                 # Remove the pattern from the text if configured
                 if action == MatchAction.REMOVE:
                     processed_text = processed_text.replace(full_match, "", 1)
-                    # modified = True
                 else:
                     all_matches.append(pattern_match)
 
@@ -273,7 +272,6 @@ class PatternPairAggregator(BaseTextAggregator):
 
         self._text = processed_text
 
-        #
         if len(patterns) > 0:
             if len(patterns) > 1:
                 logger.warning(
@@ -283,7 +281,6 @@ class PatternPairAggregator(BaseTextAggregator):
             action = self._patterns[patterns[0].pattern_id].get("action", MatchAction.REMOVE)
             if action == MatchAction.AGGREGATE:
                 self._text = ""
-                print(f"Returning pattern: {patterns[0]}")
                 return patterns[0]
 
         # Check if we have incomplete patterns
diff --git a/tests/test_pattern_pair_aggregator.py b/tests/test_pattern_pair_aggregator.py
index 804128eb4..5887a8197 100644
--- a/tests/test_pattern_pair_aggregator.py
+++ b/tests/test_pattern_pair_aggregator.py
@@ -43,7 +43,6 @@ class TestPatternPairAggregator(unittest.IsolatedAsyncioTestCase):
     async def test_pattern_match_and_removal(self):
         # First part doesn't complete the pattern
         result = await self.aggregator.aggregate("Hello <test>pattern")
-        print(f"result: {result}")
         self.assertIsNone(result)
         self.assertEqual(self.aggregator.text.text, "Hello <test>pattern")
         self.assertEqual(self.aggregator.text.type, "test")
@@ -74,7 +73,6 @@ class TestPatternPairAggregator(unittest.IsolatedAsyncioTestCase):
     async def test_pattern_match_and_aggregate(self):
         # First part doesn't complete the pattern
         result = await self.aggregator.aggregate("Here is code <code>pattern")
-        print(f"result: {result}")
         self.assertEqual(result.text, "Here is code ")
         self.assertEqual(self.aggregator.text.text, "<code>pattern")
         self.assertEqual(self.aggregator.text.type, "code")
@@ -89,6 +87,8 @@ class TestPatternPairAggregator(unittest.IsolatedAsyncioTestCase):
         self.assertEqual(call_args.pattern_id, "code_pattern")
         self.assertEqual(call_args.full_match, "<code>pattern content</code>")
         self.assertEqual(call_args.text, "pattern content")
+        self.assertEqual(result.text, "pattern content")
+        self.assertEqual(result.type, "code")
 
         # Next sentence should be processed separately
         result = await self.aggregator.aggregate(" This is another sentence.")