pipecat/changelog/3621.added.md

• Added context summarization feature to automatically compress conversation history when conversation length limits (by token or message count) are reached, enabling efficient long-running conversations.
  • Configure via enable_context_summarization=True in LLMAssistantAggregatorParams
  • Customize behavior with LLMContextSummarizationConfig (max tokens, thresholds, etc.)
  • Automatically preserves incomplete function call sequences during summarization
  • See new examples: examples/foundational/54-context-summarization-openai.py and examples/foundational/54a-context-summarization-google.py