Fix type errors in extensions and add to pyright checked set

Tighten LLMMessagesAppendFrame and LLMMessagesUpdateFrame message fields
from list[dict] to list[LLMContextMessage] to match actual usage. Add
type annotations on inline message lists in IVR navigator and voicemail
detector.

pyrightconfig.json

@@ -7,7 +7,8 @@
     "src/pipecat/metrics",
     "src/pipecat/transcriptions",
     "src/pipecat/frames",
-    "src/pipecat/observers"
+    "src/pipecat/observers",
+    "src/pipecat/extensions"
   ],
   "exclude": [
     "**/*_pb2.py",

src/pipecat/extensions/ivr/ivr_navigator.py

@@ -30,6 +30,7 @@ from pipecat.frames.frames import (
     VADParamsUpdateFrame,
 )
 from pipecat.pipeline.pipeline import Pipeline
+from pipecat.processors.aggregators.llm_context import LLMContextMessage
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.services.llm_service import LLMService
 from pipecat.utils.text.pattern_pair_aggregator import (
@@ -87,7 +88,7 @@ class IVRProcessor(FrameProcessor):
         self._classifier_prompt = classifier_prompt
 
         # Store saved context messages
-        self._saved_messages: list[dict] = []
+        self._saved_messages: list[LLMContextMessage] = []
 
         # XML pattern aggregation
         self._aggregator = PatternPairAggregator()
@@ -97,18 +98,18 @@ class IVRProcessor(FrameProcessor):
         self._register_event_handler("on_conversation_detected")
         self._register_event_handler("on_ivr_status_changed")
 
-    def update_saved_messages(self, messages: list[dict]) -> None:
+    def update_saved_messages(self, messages: list[LLMContextMessage]) -> None:
         """Update the saved context messages.
 
         Sets the messages that are saved when switching between
         conversation and IVR navigation modes.
 
         Args:
-            messages: List of message dictionaries to save.
+            messages: List of context messages to save.
         """
         self._saved_messages = messages
 
-    def _get_conversation_history(self) -> list[dict]:
+    def _get_conversation_history(self) -> list[LLMContextMessage]:
         """Get saved context messages without the system message.
 
         Returns:
@@ -144,7 +145,9 @@ class IVRProcessor(FrameProcessor):
             await self.push_frame(frame, direction)
 
             # Set the classifier prompt and push it upstream
-            messages = [{"role": "system", "content": self._classifier_prompt}]
+            messages: list[LLMContextMessage] = [
+                {"role": "developer", "content": self._classifier_prompt}
+            ]
             llm_update_frame = LLMMessagesUpdateFrame(messages=messages)
             await self.push_frame(llm_update_frame, FrameDirection.UPSTREAM)
 
@@ -261,7 +264,7 @@ class IVRProcessor(FrameProcessor):
         logger.debug("IVR detected - switching to IVR navigation mode")
 
         # Create new context with IVR system prompt and saved messages
-        messages = [{"role": "system", "content": self._ivr_prompt}]
+        messages: list[LLMContextMessage] = [{"role": "developer", "content": self._ivr_prompt}]
 
         # Add saved conversation history if available
         conversation_history = self._get_conversation_history()

src/pipecat/extensions/voicemail/voicemail_detector.py

@@ -35,7 +35,7 @@ from pipecat.frames.frames import (
     UserStoppedSpeakingFrame,
 )
 from pipecat.pipeline.parallel_pipeline import ParallelPipeline
-from pipecat.processors.aggregators.llm_context import LLMContext
+from pipecat.processors.aggregators.llm_context import LLMContext, LLMContextMessage
 from pipecat.processors.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
     LLMUserAggregatorParams,
@@ -617,9 +617,9 @@ VOICEMAIL SYSTEM (respond "VOICEMAIL"):
             self._validate_prompt(custom_system_prompt)
 
         # Set up the LLM context with the classification prompt
-        self._messages = [
+        self._messages: list[LLMContextMessage] = [
             {
-                "role": "system",
+                "role": "developer",
                 "content": self._prompt,
             },
         ]

src/pipecat/frames/frames.py

@@ -20,7 +20,6 @@ from typing import (
     TYPE_CHECKING,
     Any,
     Literal,
-    Optional,
 )
 
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
@@ -559,11 +558,11 @@ class LLMMessagesAppendFrame(DataFrame):
     current context.
 
     Parameters:
-        messages: List of message dictionaries to append.
+        messages: List of context messages to append.
         run_llm: Whether the context update should be sent to the LLM.
     """
 
-    messages: list[dict]
+    messages: list[LLMContextMessage]
     run_llm: bool | None = None
 
 
@@ -575,11 +574,11 @@ class LLMMessagesUpdateFrame(DataFrame):
     context LLM messages.
 
     Parameters:
-        messages: List of message dictionaries to replace current context.
+        messages: List of context messages to replace current context.
         run_llm: Whether the context update should be sent to the LLM.
     """
 
-    messages: list[dict]
+    messages: list[LLMContextMessage]
     run_llm: bool | None = None