Fix docstrings for 0.0.93 release, fix classmethod placement in RequestHandler

src/pipecat/services/aws/nova_sonic/context.py

@@ -11,11 +11,11 @@ including conversation history management and role-specific message processing.
 
 .. deprecated:: 0.0.91
     AWS Nova Sonic no longer uses types from this module under the hood.
-    It now uses `LLMContext` and `LLMContextAggregatorPair`.
+    It now uses ``LLMContext`` and ``LLMContextAggregatorPair``.
     Using the new patterns should allow you to not need types from this module.
 
-    BEFORE:
+    BEFORE::
-    ```
+
         # Setup
         context = OpenAILLMContext(messages, tools)
         context_aggregator = llm.create_context_aggregator(context)
@@ -27,10 +27,9 @@ including conversation history management and role-specific message processing.
         context: AWSNovaSonicLLMContext
         # or
         context: OpenAILLMContext
-    ```
 
-    AFTER:
+    AFTER::
-    ```
+
         # Setup
         context = LLMContext(messages, tools)
         context_aggregator = LLMContextAggregatorPair(context)
@@ -40,7 +39,6 @@ including conversation history management and role-specific message processing.
 
         # Context type
         context: LLMContext
-    ```
 """
 
 import warnings

src/pipecat/services/aws/nova_sonic/llm.py

@@ -1163,7 +1163,8 @@ class AWSNovaSonicLLMService(LLMService):
         """Create context aggregator pair for managing conversation context.
 
         NOTE: this method exists only for backward compatibility. New code
-        should instead do:
+        should instead do::
+
             context = LLMContext(...)
             context_aggregator = LLMContextAggregatorPair(context)
 

src/pipecat/services/google/gemini_live/llm.py

@@ -1742,7 +1742,8 @@ class GeminiLiveLLMService(LLMService):
         Constructor keyword arguments for both the user and assistant aggregators can be provided.
 
         NOTE: this method exists only for backward compatibility. New code
-        should instead do:
+        should instead do::
+
             context = LLMContext(...)
             context_aggregator = LLMContextAggregatorPair(context)
 

src/pipecat/services/openai/realtime/context.py

@@ -8,11 +8,11 @@
 
 .. deprecated:: 0.0.92
     OpenAI Realtime no longer uses types from this module under the hood.
-    It now uses `LLMContext` and `LLMContextAggregatorPair`.
+    It now uses ``LLMContext`` and ``LLMContextAggregatorPair``.
     Using the new patterns should allow you to not need types from this module.
 
-    BEFORE:
+    BEFORE::
-    ```
+
         # Setup
         context = OpenAILLMContext(messages, tools)
         context_aggregator = llm.create_context_aggregator(context)
@@ -27,10 +27,9 @@
         context: OpenAIRealtimeLLMContext
         # or
         context: OpenAILLMContext
-    ```
 
-    AFTER:
+    AFTER::
-    ```
+
         # Setup
         context = LLMContext(messages, tools)
         context_aggregator = LLMContextAggregatorPair(context)
@@ -43,7 +42,6 @@
 
         # Context type
         context: LLMContext
-    ```
 """
 
 import warnings

src/pipecat/services/openai/realtime/frames.py

@@ -12,7 +12,7 @@
     It now works more like most LLM services in Pipecat, relying on updates to
     its context, pushed by context aggregators, to update its internal state.
 
-    Listen for `LLMContextFrame`s for context updates.
+    Listen for ``LLMContextFrame`` s for context updates.
 """
 
 import warnings

src/pipecat/services/openai/realtime/llm.py

@@ -845,7 +845,8 @@ class OpenAIRealtimeLLMService(LLMService):
         """Create an instance of OpenAIContextAggregatorPair from an OpenAILLMContext.
 
         NOTE: this method exists only for backward compatibility. New code
-        should instead do:
+        should instead do::
+
             context = LLMContext(...)
             context_aggregator = LLMContextAggregatorPair(context)
 

src/pipecat/transports/smallwebrtc/request_handler.py

@@ -39,7 +39,6 @@ class SmallWebRTCRequest:
     restart_pc: Optional[bool] = None
     request_data: Optional[Any] = None
 
-
     @classmethod
     def from_dict(cls, data: dict):
         """Accept both snake_case and camelCase for the request_data field."""