Use Parameters instead of Attributes in docstrings to fix duplicate object warnings

Napoleon's Attributes section creates class-level attribute docs that
duplicate the __init__ parameter docs when napoleon_include_init_with_doc
is enabled. Using Parameters avoids the duplication.

examples/turn-management/turn-management-user-assistant-turns.py

@@ -40,7 +40,7 @@ class TranscriptHandler:
     Maintains a list of conversation messages and outputs them either to a log
     or to a file as they are received. Each message includes its timestamp and role.
 
-    Attributes:
+    Parameters:
         messages: List of all processed transcript messages
         output_file: Optional path to file where transcript is saved. If None, outputs to log only.
     """

src/pipecat/adapters/services/grok_realtime_adapter.py

@@ -27,7 +27,7 @@ from pipecat.services.xai.realtime import events
 class GrokRealtimeLLMInvocationParams(TypedDict):
     """Context-based parameters for invoking Grok Realtime API.
 
-    Attributes:
+    Parameters:
         system_instruction: System prompt/instructions for the session.
         messages: List of conversation items formatted for Grok Realtime.
         tools: List of tool definitions (function, web_search, x_search, file_search).

src/pipecat/pipeline/sync_parallel_pipeline.py

@@ -36,7 +36,7 @@ class FrameOrder(Enum):
     When multiple parallel pipelines produce output for the same input frame,
     this setting determines the order in which those output frames are pushed.
 
-    Attributes:
+    Parameters:
         ARRIVAL: Frames are pushed in the order they arrive from any pipeline.
             This is the default and matches the behavior of prior versions.
         PIPELINE: Frames are pushed in pipeline definition order — all frames

src/pipecat/serializers/genesys.py

@@ -123,7 +123,7 @@ class GenesysAudioHookSerializer(FrameSerializer):
         # Set output variables to return to Architect
         serializer.set_output_variables({"intent": "billing", "resolved": True})
 
-    Attributes:
+    Parameters:
         PROTOCOL_VERSION: The AudioHook protocol version (currently "2").
     """
 
@@ -132,7 +132,7 @@ class GenesysAudioHookSerializer(FrameSerializer):
     class InputParams(FrameSerializer.InputParams):
         """Configuration parameters for GenesysAudioHookSerializer.
 
-        Attributes:
+        Parameters:
             genesys_sample_rate: Sample rate used by Genesys (default: 8000 Hz).
             sample_rate: Optional override for pipeline input sample rate.
             channel: Which audio channels to process (external, internal, both).

src/pipecat/services/heygen/client.py

@@ -83,7 +83,7 @@ class HeyGenClient:
     1. WebSocket connection for avatar control and audio streaming
     2. LiveKit connection for receiving avatar video and audio
 
-    Attributes:
+    Parameters:
         HEY_GEN_SAMPLE_RATE (int): The required sample rate for HeyGen's audio processing (24000 Hz)
     """
 

src/pipecat/services/sarvam/stt.py

@@ -86,7 +86,7 @@ def language_to_sarvam_language(language: Language) -> str:
 class ModelConfig:
     """Immutable configuration for a Sarvam STT model.
 
-    Attributes:
+    Parameters:
         supports_prompt: Whether the model accepts prompt parameter.
         supports_mode: Whether the model accepts mode parameter.
         supports_language: Whether the model accepts language parameter.

src/pipecat/services/sarvam/tts.py

@@ -75,7 +75,7 @@ except ModuleNotFoundError as e:
 class SarvamTTSModel(str, Enum):
     """Available Sarvam TTS models.
 
-    Attributes:
+    Parameters:
         BULBUL_V2: Standard TTS model with pitch/loudness control.
             - Supports pitch, loudness, pace (0.3-3.0)
             - Default sample rate: 22050 Hz
@@ -145,7 +145,7 @@ class SarvamTTSSpeakerV3(str, Enum):
 class TTSModelConfig:
     """Immutable configuration for a Sarvam TTS model.
 
-    Attributes:
+    Parameters:
         supports_pitch: Whether the model accepts pitch parameter.
         supports_loudness: Whether the model accepts loudness parameter.
         supports_temperature: Whether the model accepts temperature parameter.

src/pipecat/services/tts_service.py

@@ -67,7 +67,7 @@ from pipecat.utils.time import seconds_to_nanoseconds
 class TTSContext:
     """Context information for a TTS request.
 
-    Attributes:
+    Parameters:
         append_to_context: Whether this TTS output should be appended to the
             conversation context after it is spoken.
         push_assistant_aggregation: Whether to push an

src/pipecat/transports/whatsapp/client.py

@@ -37,7 +37,7 @@ class WhatsAppClient:
     events from WhatsApp, and maintains ongoing call state. It supports both
     incoming call handling and call termination through the WhatsApp Cloud API.
 
-    Attributes:
+    Parameters:
         _whatsapp_api: WhatsApp API instance for making API calls
         _ongoing_calls_map: Dictionary mapping call IDs to WebRTC connections
         _ice_servers: List of ICE servers for WebRTC connections

src/pipecat/turns/types.py

@@ -15,7 +15,7 @@ class ProcessFrameResult(Enum):
     Controls whether the strategy loop in the controller continues to the
     next strategy or stops early.
 
-    Attributes:
+    Parameters:
         CONTINUE: Continue to the next strategy in the loop.
         STOP: Stop evaluating further strategies for this frame.
     """

src/pipecat/turns/user_start/base_user_turn_start_strategy.py

@@ -24,7 +24,7 @@ class UserTurnStartedParams:
     contextual information about how the user turn should be handled by the user
     aggregator.
 
-    Attributes:
+    Parameters:
         enable_user_speaking_frames: Whether the user aggregator should emit
             frames indicating user speaking state (e.g., user started speaking)
             during the bot's turn. This is typically enabled by default, but may

src/pipecat/turns/user_stop/base_user_turn_stop_strategy.py

@@ -24,7 +24,7 @@ class UserTurnStoppedParams:
     contextual information about how the end of user turn should be handled by
     the user aggregator.
 
-    Attributes:
+    Parameters:
         enable_user_speaking_frames: Whether the user aggregator should emit
             frames indicating user speaking state (e.g., user stopped speaking).
             This is typically enabled by default, but may be disabled when another

src/pipecat/turns/user_turn_completion_mixin.py

@@ -147,7 +147,7 @@ Remember: Focus on conversational completeness and how long the user might need.
 class UserTurnCompletionConfig:
     """Configuration for turn completion behavior.
 
-    Attributes:
+    Parameters:
         instructions: Custom instructions for turn completion. If not provided,
             uses default USER_TURN_COMPLETION_INSTRUCTIONS.
         incomplete_short_timeout: Seconds to wait after short incomplete (○) before prompting.

src/pipecat/turns/user_turn_strategies.py

@@ -57,7 +57,7 @@ class UserTurnStrategies:
         start: [VADUserTurnStartStrategy, TranscriptionUserTurnStartStrategy]
          stop: [TurnAnalyzerUserTurnStopStrategy(LocalSmartTurnAnalyzerV3)]
 
-    Attributes:
+    Parameters:
         start: A list of user turn start strategies used to detect when
             the user starts speaking.
         stop: A list of user turn stop strategies used to decide when