- Introducing user and bot turn start strategies. Turn start strategies indicate when user and bot turns begin. In conversational agents, these are often referred to as start/stop speaking or turn-taking plans or policies.

  User turn start strategies indicate when the user starts speaking (e.g. using VAD events or when a user says one or more words).

  Bot turn start strategies indicate when the bot should start speaking (e.g. using an end-of-turn detection model or by observing incoming transcriptions).

  A list of strategies can be specified for both the user and the bot; strategies are evaluated in order until one evaluates to true.

  Available user turn start strategies:
    - VADUserTurnStartStrategy
    - TranscriptionUserTurnStartStrategy
    - MinWordsUserTurnStartStrategy

  Available bot turn start strategies:
    - TranscriptionBotTurnStartStrategy
    - TurnAnalyzerBotTurnStartStrategy

  The default strategies are:

    - user: [VADUserTurnStartStrategy, TranscriptionUserTurnStartStrategy]
    - bot: [TranscriptionBotTurnStartStrategy]

  Turn start strategies are configured when setting up a `PipelineTask`. For example:

  ```python
  task = PipelineTask(..., params=PipelineParams(
      turn_start_strategies=TurnStartStrategies(
          bot=[
              TurnAnalyzerBotTurnStartStrategy(
                  turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams())
              )
          ],
      ),
  ))
  ```

  In order to use the turn start strategies you should update to the new universal `LLMContext` and `LLMContextAggregatorPair`.