Remove deprecated TranscriptionMessage, ThoughtTranscriptionMessage, and TranscriptionUpdateFrame
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@@ -462,137 +462,6 @@ class LLMContextAssistantTimestampFrame(DataFrame):
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timestamp: str
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@dataclass
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class TranscriptionMessage:
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"""A message in a conversation transcript.
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A message in a conversation transcript containing the role and content.
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Messages are in standard format with roles normalized to user/assistant.
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Parameters:
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role: The role of the message sender (user or assistant).
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content: The message content/text.
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user_id: Optional identifier for the user.
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timestamp: Optional timestamp when the message was created.
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.. deprecated:: 0.0.99
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`TranscriptionMessage` is deprecated and will be removed in a future version.
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Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.
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"""
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role: Literal["user", "assistant"]
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content: str
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user_id: Optional[str] = None
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timestamp: Optional[str] = None
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def __post_init__(self):
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import warnings
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with warnings.catch_warnings():
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warnings.simplefilter("always")
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warnings.warn(
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"TranscriptionMessage is deprecated and will be removed in a future version. "
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"Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.",
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DeprecationWarning,
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stacklevel=2,
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)
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@dataclass
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class ThoughtTranscriptionMessage:
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"""An LLM thought message in a conversation transcript.
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.. deprecated:: 0.0.99
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`ThoughtTranscriptionMessage` is deprecated and will be removed in a future version.
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Use `LLMAssistantAggregator`'s new events instead.
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"""
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role: Literal["assistant"] = field(default="assistant", init=False)
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content: str
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timestamp: Optional[str] = None
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def __post_init__(self):
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import warnings
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with warnings.catch_warnings():
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warnings.simplefilter("always")
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warnings.warn(
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"ThoughtTranscriptionMessage is deprecated and will be removed in a future version. "
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"Use `LLMAssistantAggregator`'s new events instead.",
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DeprecationWarning,
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stacklevel=2,
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)
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@dataclass
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class TranscriptionUpdateFrame(DataFrame):
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"""Frame containing new messages added to conversation transcript.
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A frame containing new messages added to the conversation transcript.
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This frame is emitted when new messages are added to the conversation history,
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containing only the newly added messages rather than the full transcript.
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Messages have normalized roles (user/assistant) regardless of the LLM service used.
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Messages are always in the OpenAI standard message format, which supports both:
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Examples:
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Simple format::
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[
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{
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"role": "user",
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"content": "Hi, how are you?"
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},
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{
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"role": "assistant",
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"content": "Great! And you?"
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}
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]
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Content list format::
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[
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{
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"role": "user",
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"content": [{"type": "text", "text": "Hi, how are you?"}]
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},
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{
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"role": "assistant",
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"content": [{"type": "text", "text": "Great! And you?"}]
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}
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]
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OpenAI supports both formats. Anthropic and Google messages are converted to the
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content list format.
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Parameters:
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messages: List of new transcript messages that were added.
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.. deprecated:: 0.0.99
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`TranscriptionUpdateFrame` is deprecated and will be removed in a future version.
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Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.
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"""
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messages: List[TranscriptionMessage | ThoughtTranscriptionMessage]
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def __post_init__(self):
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super().__post_init__()
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import warnings
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with warnings.catch_warnings():
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warnings.simplefilter("always")
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warnings.warn(
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"TranscriptionUpdateFrame is deprecated and will be removed in a future version. "
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"Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.",
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DeprecationWarning,
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stacklevel=2,
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)
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def __str__(self):
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pts = format_pts(self.pts)
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return f"{self.name}(pts: {pts}, messages: {len(self.messages)})"
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@dataclass
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class LLMContextFrame(Frame):
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"""Frame containing a universal LLM context.
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