getting started

src/dailyai/pipeline/frames.py

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+from dataclasses import dataclass
+from typing import Any
+
+
+class QueueFrame:
+    def __eq__(self, other):
+        return isinstance(other, self.__class__)
+
+
+class ControlQueueFrame(QueueFrame):
+    pass
+
+
+class StartStreamQueueFrame(ControlQueueFrame):
+    pass
+
+
+class EndStreamQueueFrame(ControlQueueFrame):
+    pass
+
+
+class LLMResponseStartQueueFrame(QueueFrame):
+    pass
+
+
+class LLMResponseEndQueueFrame(QueueFrame):
+    pass
+
+
+@dataclass()
+class AudioQueueFrame(QueueFrame):
+    data: bytes
+
+
+@dataclass()
+class ImageQueueFrame(QueueFrame):
+    url: str | None
+    image: bytes
+
+
+@dataclass()
+class SpriteQueueFrame(QueueFrame):
+    images: list[bytes]
+
+
+@dataclass()
+class TextQueueFrame(QueueFrame):
+    text: str
+
+
+@dataclass()
+class TranscriptionQueueFrame(TextQueueFrame):
+    participantId: str
+    timestamp: str
+
+
+@dataclass()
+class LLMMessagesQueueFrame(QueueFrame):
+    messages: list[dict[str, str]]  # TODO: define this more concretely!
+
+
+class AppMessageQueueFrame(QueueFrame):
+    message: Any
+    participantId: str
+
+class UserStartedSpeakingFrame(QueueFrame):
+    pass
+
+class UserStoppedSpeakingFrame(QueueFrame):
+    pass