The change makes OpenAI model execution more consistent inside OpenClaw. The post frames it as a hardening move: one reliable harness, then reusable improvements for all supported models.
This should make agent behavior more predictable and easier to debug. Standardizing the execution path usually reduces weird edge cases and model-specific drift.
If you're running OpenAI turns inside OpenClaw, no special action is needed beyond using the normal workflow. The key benefit is that the platform handles the routing and consistency work for you.
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