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v0.52.1: conversation-aware summarization
Auto-detects conversation content (User:/Assistant: turn patterns) and uses a fact-preserving summarization prompt instead of the document-oriented one.
- Conversations get 300-word budget (vs 200 for documents) with emphasis on preserving dates, names, locations, and chronological order
- Zero config: auto-detection via speaker-turn patterns (≥4 markers)
- No protocol change: existing SummarizationProvider implementations work unchanged
- Tested on LongMemEval temporal-reasoning benchmark: 4/5 accuracy with 10x context compression