GPT-6 Astra supports lossless switching: adjusting thinking intensity during long conversations no longer flushes the cache.
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Beating AI Insight News Brief: OpenAI has added a `configuration_update` feature to GPT-6 Astra. Within the same long conversation via the Responses API, users can now adjust reasoning effort up or down at any time without rewriting the cached prompt prefix. For complex tasks, they can switch to High or Xhigh reasoning levels; for simple tasks, they can drop back to Low, while continuing to reuse the entire preceding long context. Previously, this was a hidden cost trap: reasoning effort was set as an instruction at the start of the context, and switching reasoning mid-conversation would render most cached data unreusable. Codex user tests showed cache hit rates dropped from 98.5% to 65% after switching reasoning levels, only recovering to over 97% once a new cache was rebuilt in the next round. This update is highly practical for long-running AI agents: users can temporarily boost reasoning intensity for complex tasks and lower it back for simple ones, without having to reprocess hundreds of thousands of tokens of prior cache as regular input solely due to the level switch.
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