Introduce append_to_context to TextFrames
Adding support for setting whether or not the text in the TextFrame should be added to the LLM context (by the LLM assistant aggregator). Defaults to `True`.
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committed by
Mattie Ruth
parent
24266c238f
commit
0e820a01b9
@@ -135,6 +135,10 @@ Croatian, Hungarian, Malay, Norwegian, Nynorsk, Slovak, Slovenian, Swedish, and
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text = match.text # instead of match.content
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```
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- `TextFrame` now includes the field `append_to_context` to support setting whether or not the
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encompassing text should be added to the LLM context (by the LLM assistant aggregator). It
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defaults to `True`.
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### Deprecated
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- The `api_key` parameter in `GeminiTTSService` is deprecated. Use
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@@ -337,11 +337,14 @@ class TextFrame(DataFrame):
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# mandatory fields of theirs to have defaults to preserve
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# non-default-before-default argument order)
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includes_inter_frame_spaces: bool = field(init=False)
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# Whether this text frame should be appended to the LLM context.
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append_to_context: bool = field(init=False)
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def __post_init__(self):
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super().__post_init__()
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self.skip_tts = False
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self.includes_inter_frame_spaces = False
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self.append_to_context = True
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def __str__(self):
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pts = format_pts(self.pts)
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@@ -1001,7 +1001,7 @@ class LLMAssistantContextAggregator(LLMContextResponseAggregator):
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await self.push_aggregation()
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async def _handle_text(self, frame: TextFrame):
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if not self._started:
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if not self._started or not frame.append_to_context:
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return
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if self._params.expect_stripped_words:
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@@ -811,7 +811,7 @@ class LLMAssistantAggregator(LLMContextAggregator):
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await self.push_aggregation()
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async def _handle_text(self, frame: TextFrame):
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if not self._started:
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if not self._started or not frame.append_to_context:
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return
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# Make sure we really have text (spaces count, too!)
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