Compaction Manage long-running conversations with server-side and standalone compaction. Overview To support long-running interactions, you can use compaction to reduce context size while preserving state needed for subsequent turns. Compaction helps you balance quality, cost, and latency as conversations grow. Server-side compaction You can enable server-side compaction in a Responses create requ
Shell + Skills + Compaction: Tips for long-running agents that do real work Practical patterns for building with skills, hosted shell, and server-side compaction in the Responses API. We’re shifting from single-turn assistants to long-running agents that handle real knowledge work: reading large datasets, updating files, and writing apps. Based on developer feedback and our own experience building
Codex models advance the frontier of intelligence and efficiency and our recommended agentic coding model. Follow this guide closely to ensure you’re getting the best performance possible from this model. This guide is for anyone using the model directly via the API for maximum customizability; we also have the Codex SDK for simpler integrations. In the API, the Codex-tuned model is gpt-5.3-codex
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