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Updated text-to-speech guide to reflect the fix for TTSSpeakFrame automatically committing spoken text to conversation context when used outside of LLM responses. Changes: - Clarified that TTSSpeakFrame bypasses LLM but optionally appends to context (not bypassing context aggregators entirely) - Added documentation for append_to_context parameter - Added code examples showing both append_to_context=True and False - Explained that append_to_context=True commits text after speaking Addresses pipecat-ai/pipecat#3845
markbackman
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Automated documentation update for pipecat PR #3845.
Changes
Updated guides
append_to_contextparameterappend_to_context=Trueandappend_to_context=Falseappend_to_context=True, spoken text is automatically committed to context after being spokenGaps identified
None. The PR changes were to internal base classes and frame handling:
src/pipecat/services/tts_service.py— Internal base class (skip-listed)src/pipecat/frames/frames.py— Added internalLLMAssistantPushAggregationFramesrc/pipecat/processors/aggregators/llm_response_universal.py— Internal aggregator handlingThese files don't map to reference documentation pages, but the behavioral change to
TTSSpeakFrameis documented in the text-to-speech guide, which has been updated.