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feat: add token-aware conversation manager with proactive compaction #2038

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feat: add token-aware conversation manager with proactive compaction #2038

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4 changes: 4 additions & 0 deletions src/strands/agent/conversation_manager/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,8 @@
size while preserving conversation coherence
- SummarizingConversationManager: An implementation that summarizes older context instead
of simply trimming it
- TokenAwareConversationManager: An implementation that uses actual input token counts to
proactively compact context with a four-pass strategy (sanitize, truncate, summarize, trim)

Conversation managers help control memory usage and context length while maintaining relevant conversation state, which
is critical for effective agent interactions.
Expand All @@ -17,10 +19,12 @@
from .null_conversation_manager import NullConversationManager
from .sliding_window_conversation_manager import SlidingWindowConversationManager
from .summarizing_conversation_manager import SummarizingConversationManager
from .token_aware_conversation_manager import TokenAwareConversationManager

__all__ = [
"ConversationManager",
"NullConversationManager",
"SlidingWindowConversationManager",
"SummarizingConversationManager",
"TokenAwareConversationManager",
]
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