- ⚠️ Removed deprecated service-specific context and aggregator machinery, which was superseded by the universal `LLMContext` system.

  Service-specific classes removed: `AnthropicLLMContext`, `AnthropicContextAggregatorPair`, `AWSBedrockLLMContext`, `AWSBedrockContextAggregatorPair`, `OpenAIContextAggregatorPair`, and their user/assistant aggregators. Also removed `create_context_aggregator()` from `LLMService`, `OpenAILLMService`, `AnthropicLLMService`, and `AWSBedrockLLMService`.

  Base aggregator classes removed (from `pipecat.processors.aggregators.llm_response`): `BaseLLMResponseAggregator`, `LLMContextResponseAggregator`, `LLMUserContextAggregator`, `LLMAssistantContextAggregator`, `LLMUserResponseAggregator`, `LLMAssistantResponseAggregator`.

  From the developer's point of view, migrating will usually be a matter of going from this:

  ```python
  context = OpenAILLMContext(messages, tools)
  context_aggregator = llm.create_context_aggregator(context)
  ```

  To this:

  ```python
  from pipecat.processors.aggregators.llm_context import LLMContext
  from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair

  context = LLMContext(messages, tools)
  context_aggregator = LLMContextAggregatorPair(context)
  ```
