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AI summary
Written by AI from the official notes. Check them for exact details.OpenAI Codex now supports Team Config for standardized shared configurations across teams.
- Introduces Team Config for standardizing Codex settings.
- Share
config.toml,rules/, andskills/files. - Higher-precedence locations override lower-precedence ones.
- Admins can enforce constraints with
requirements.toml.
Why it matters: Teams using Codex should care to ensure consistent configurations across their projects.
Full release notes3 changes
Team Config groups the files teams use to standardize Codex across repositories and machines. Use it to share:
config.tomldefaultsrules/for command controls outside the sandboxskills/for reusable workflows
Codex loads these layers from .codex/ folders in the current working directory, parent folders, and the repo root, plus user (~/.codex/) and system (/etc/codex/) locations. Higher-precedence locations override lower-precedence ones.
Admins can still enforce constraints with requirements.toml, which overrides defaults regardless of location.
Learn more in Team Config.