Changelog entries for TTS context tracking

changelog/3584.added.2.md

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+- Added `append_to_context` parameter to `TTSSpeakFrame` for conditional LLM context addition.
+  - Allows fine-grained control over whether text should be added to conversation context
+  - Defaults to `True` to maintain backward compatibility

changelog/3584.added.md

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+- Added TTS context tracking system with `context_id` field to trace audio generation through the pipeline.
+  - `TTSAudioRawFrame`, `TTSStartedFrame`, `TTSStoppedFrame` now include `context_id`
+  - `AggregatedTextFrame` and `TTSTextFrame` now include `context_id`
+  - Enables tracking which TTS request generated specific audio chunks

changelog/3584.changed.2.md

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+- Simplified context aggregators to use `frame.append_to_context` flag instead of tracking internal state.
+  - Cleaner logic in `LLMResponseAggregator` and `LLMResponseUniversalAggregator`
+  - More consistent behavior across aggregator implementations

changelog/3584.changed.3.md

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+- ⚠️ `TTSService.run_tts()` now requires a `context_id` parameter for context tracking.
+  - Custom TTS service implementations must update their `run_tts()` signature
+  - Before: `async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:`
+  - After: `async def run_tts(self, text: str, context_id: str) -> AsyncGenerator[Frame, None]:`

changelog/3584.changed.md

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+- Updated all 30+ TTS service implementations to support context tracking with `context_id`.
+  - Services now generate and propagate context IDs through TTS frames
+  - Enables end-to-end tracing of TTS requests through the pipeline