- Introducing user turn strategies. User turn strategies indicate when the user turn starts or stops. 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).

  User turn stop strategies indicate when the user stops speaking (e.g. using an end-of-turn detection model or by observing incoming transcriptions).

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

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

  Available user turn stop strategies:
    - TranscriptionUserTurnStopStrategy
    - TurnAnalyzerUserTurnStopStrategy
    - ExternalUserTurnStopStrategy

  The default strategies are:

    - start: [VADUserTurnStartStrategy, TranscriptionUserTurnStartStrategy]
    - stop: [TranscriptionUserTurnStopStrategy]

  Turn strategies are configured when setting up `LLMContextAggregatorPair`. For example:

  ```python
  context_aggregator = LLMContextAggregatorPair(
      context,
      user_params=LLMUserAggregatorParams(
          user_turn_strategies=UserTurnStrategies(
              stop=[
                  TurnAnalyzerUserTurnStopStrategy(
                      turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams())
                  )
              ],
          )
      ),
  )
  ```

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