llama.cpp fixes checkpoint bug for agentic workflows
Key point
llama.cpp has fixed a bug where excessive context checkpoint creation during agent tasks degraded performance.
Details
The latest update to llama.cpp (b9978) resolves a context checkpoint bug that occurred during Agentic Workflows.
Previously, a new checkpoint was created every time an agent performed a turn, bypassing the min-step spacing setting. This caused checkpoints to be created too densely, sharply narrowing the context window, and when the context was rolled back during a tool-calling loop, all checkpoints were deleted, causing the inefficiency of having to re-run the entire process.
With this fix, checkpoints from previous tasks are now properly evicted, which makes it possible to keep the context window wide even during long agent sessions while ensuring fast inference speed.
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