Codex Raises Auto-Compaction Baseline and Long Context Tips
soumitrashukla9 · x · 2026-07-12
OpenAI Codex has increased its auto-compaction baseline from roughly 262K to 353K. Although GPT-5.6 currently supports a 1M context window, lengthy browser/computer automation tasks introduce massive amounts of useless accessibility tree markup. This can distract the model, worsen compaction loss, and impact accuracy.
The author suggests that for token-intensive automation tasks, you can configure modelautocompacttokenlimit=900000 to individually raise the compaction threshold for specific project folders, balancing performance and cost.
Related event: OpenAI Codex Raises Auto-Compaction Context Baseline(3 posts)→
More from coding & agent
- Devin adds e2b sandboxes for remote agent execution — badphilosopher · 2026-07-22
- Hermes Agent Refactoring Proposal: Decoupling via Event Bus and Monorepo Slicing — Promptmethus · 2026-07-22
- ty now reads Pydantic config keywords and field metadata — charliermarsh · 2026-07-22
- Pensar Launches AI Security Agent to Autonomously Discover and Patch 0-Days — andriy_mulyar · 2026-07-22
- ty adds first-class Pydantic support, including strict and lax field handling — charliermarsh · 2026-07-22
- Google launches Gemini 3.5 Flash Cyber for CodeMender, with limited access for governments — GoogleAI · 2026-07-22