The official source reports this update: v3.2.0. ⭐️ Highlights 🧠 SummarizationCompactor: Compact Agent Context Without Losing It The experimental SummarizationCompactor is a new compaction strategy for CompactionHook . It replaces older turns and Agent steps with LLM-generated summaries. Long-running Agents keep a condensed record of earlier goals, decisions, and open work. It summarizes as little as needed to reach the target size, starting with the oldest historical turns and only then moving to the current task's older steps. The min_keep_steps newest steps always stay as they are. You can use a small, cheap model to write the summaries. from haystack . components .
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Haystack 3.2.0 introduces SummarizationCompactor to condense Agent context.
Haystack v3.2.0 introduces SummarizationCompactor to condense Agent context, preserving recent steps.
24 Sept 20261 verified claims1 sources2 observations
This official update documents a development concerning v3.2.0. Its practical significance depends on the scope and evidence stated by the source.
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