The official source reports this update: v3.2.0-rc1. ⭐️ 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 .
Canonical AI event
Haystack 3.2.0-rc1 adds SummarizationCompactor to compact agent context with summaries.
Haystack 3.2.0-rc1 introduces the SummarizationCompactor for compacting agent context. It preserves the two newest steps and uses a small model for summaries.
24 Sept 20261 verified claims1 sources2 observations
This official update documents a development concerning v3.2.0-rc1. Its practical significance depends on the scope and evidence stated by the source.
Read the official source update and verify its stated scope, evidence and timing before acting on it.
Connected knowledge
Entities affected by this event
Continue this topic
Related verified updates
Evidence trail
Sources behind the event
Editorial presentation
Open story