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Remove deprecated TranscriptionMessage, ThoughtTranscriptionMessage, and TranscriptionUpdateFrame

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This commit is contained in:
Mark Backman
2026-04-02 11:03:23 -04:00
parent 2a118084bd
commit fa30268b84
1 changed files with 0 additions and 131 deletions
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src/pipecat/frames/frames.py
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@@ -462,137 +462,6 @@ class LLMContextAssistantTimestampFrame(DataFrame):
timestamp: str timestamp: str
@dataclass
class TranscriptionMessage:
"""A message in a conversation transcript.
A message in a conversation transcript containing the role and content.
Messages are in standard format with roles normalized to user/assistant.
Parameters:
role: The role of the message sender (user or assistant).
content: The message content/text.
user_id: Optional identifier for the user.
timestamp: Optional timestamp when the message was created.
.. deprecated:: 0.0.99
`TranscriptionMessage` is deprecated and will be removed in a future version.
Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.
"""
role: Literal["user", "assistant"]
content: str
user_id: Optional[str] = None
timestamp: Optional[str] = None
def __post_init__(self):
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"TranscriptionMessage is deprecated and will be removed in a future version. "
"Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.",
DeprecationWarning,
stacklevel=2,
)
@dataclass
class ThoughtTranscriptionMessage:
"""An LLM thought message in a conversation transcript.
.. deprecated:: 0.0.99
`ThoughtTranscriptionMessage` is deprecated and will be removed in a future version.
Use `LLMAssistantAggregator`'s new events instead.
"""
role: Literal["assistant"] = field(default="assistant", init=False)
content: str
timestamp: Optional[str] = None
def __post_init__(self):
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"ThoughtTranscriptionMessage is deprecated and will be removed in a future version. "
"Use `LLMAssistantAggregator`'s new events instead.",
DeprecationWarning,
stacklevel=2,
)
@dataclass
class TranscriptionUpdateFrame(DataFrame):
"""Frame containing new messages added to conversation transcript.
A frame containing new messages added to the conversation transcript.
This frame is emitted when new messages are added to the conversation history,
containing only the newly added messages rather than the full transcript.
Messages have normalized roles (user/assistant) regardless of the LLM service used.
Messages are always in the OpenAI standard message format, which supports both:
Examples:
Simple format::
[
{
"role": "user",
"content": "Hi, how are you?"
},
{
"role": "assistant",
"content": "Great! And you?"
}
]
Content list format::
[
{
"role": "user",
"content": [{"type": "text", "text": "Hi, how are you?"}]
},
{
"role": "assistant",
"content": [{"type": "text", "text": "Great! And you?"}]
}
]
OpenAI supports both formats. Anthropic and Google messages are converted to the
content list format.
Parameters:
messages: List of new transcript messages that were added.
.. deprecated:: 0.0.99
`TranscriptionUpdateFrame` is deprecated and will be removed in a future version.
Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.
"""
messages: List[TranscriptionMessage | ThoughtTranscriptionMessage]
def __post_init__(self):
super().__post_init__()
import warnings
with warnings.catch_warnings():
warnings.simplefilter("always")
warnings.warn(
"TranscriptionUpdateFrame is deprecated and will be removed in a future version. "
"Use `LLMUserAggregator`'s and `LLMAssistantAggregator`'s new events instead.",
DeprecationWarning,
stacklevel=2,
)
def __str__(self):
pts = format_pts(self.pts)
return f"{self.name}(pts: {pts}, messages: {len(self.messages)})"
@dataclass @dataclass
class LLMContextFrame(Frame): class LLMContextFrame(Frame):
"""Frame containing a universal LLM context. """Frame containing a universal LLM context.