OpenAI Agents SDK fixes context compression conflict in long-running agents
11/07/2026 — 11/07, 12:16·1 sources (all)·1 reports (all)
Key takeaways
- An OpenAI Agents SDK update fixes a correctness bug common in multi-step agent architectures where automatic context compression triggers du…
Background & analysis
On 15 October 2026, the OpenAI Agents SDK changelog gained a one-line entry that can be summarized as deferring automatic context compaction for sessions awaiting approval. The entry addresses a correctness problem common in multi-step agent architectures: when an agent is waiting on human approval for a payment or another critical action, automatic context compaction can fire while that wait is in progress and leave the runtime state inconsistent. The patch works by holding off on automatic compaction while the approval request is still pending, which prevents the two mechanisms from colliding. As of the available material, that is where the story stands. The change was published through the changelog, and no additional detail is provided about the patch itself or the specific scenarios affected.
AI-generated from 1 reports · updated 9 hours ago
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An update to the OpenAI Agents SDK addresses a correctness bug where automatic context compaction runs while an agent is paused for human-in-the-loop approval. By deferring compaction for pending approvals, the runtime prevents session state loss during long-running tasks.
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