codex-1m-context-window-setup

name: codex-1m-context-window-setupdescription: >-  Configures and verifies an expanded, model-aware context window for OpenAI Codex CLI and Desktop.  Use to inspect local context settings, lower or set the auto-compaction threshold, expand  ~258K context to 500K or 1M, or repair model_context_window/model_auto_compact_token_limit.  Not for changing the selected model or other Codex settings.argument-hint: "[show|set-compact --tokens N|doctor|apply|verify]"

Codex 1m Context Window Setup

Inspect local settings or change only automatic compaction. For full context expansion, read Codex's current model catalog, cap the request at the model's declared maximum, and apply the bundled expansion preset.

Route the request

Honor a user-specified threshold exactly. If the user only asks for a small reduction, choose and state a modest reversible reduction from the observed value. For expansion, derive attainable values from the live catalog instead of asking the user for model limits. Running apply selects the full expansion preset and replaces a custom threshold; do it only when full setup is requested.

For local reads/edits, start with the bundled commands. Do not dump config.toml, load unrelated machine manuals, or run network/model diagnostics. Consult official OpenAI documentation when parameter semantics or compatibility are unresolved; it cannot establish this machine's current value. Respect host output restrictions; if numeric output is denied, use its supported field-condition probe and keep an unread value unknown. Do not reconstruct denied values through repeated comparisons.

Prerequisites

Use Python 3.11+ for the script's tomllib dependency and uv for the documented launcher. show needs no Codex executable. set-compact requires a Codex CLI supporting features list; full expansion additionally requires doctor --json, debug models and strict-config diagnostics. Missing expansion support does not prevent a local read. Do not substitute another config root or guessed model data when a required command is unavailable.

Run the workflow

Run the bundled configuration script.

When this Skill loads, the host exposes its installed path. Resolve it explicitly:

• In Codex, take the directory containing SKILL.md from this Skill's file: entry in the current Available skills catalog.
• In Claude Code, use the Base directory for this skill shown by the Skill load result.

Do not search a home directory for another copy. If the host did not expose an installed path, stop with installed Skill path not exposed rather than guessing.

On macOS/Linux, set that exact directory:

SKILL_DIR="/absolute/path/from-the-loaded-skill-metadata"

On Windows PowerShell, use the same exposed directory with forward slashes:

$SkillDir = "C:/absolute/path/from-the-loaded-skill-metadata"

Execute only the branch selected under Route the request. In the commands below, PowerShell users substitute $SkillDir for $SKILL_DIR.

show and set-compact

Use the same resolved script path on either platform:

uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" show --json
uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" set-compact --tokens 400000 --json
uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" show --json

Choose --tokens from the current request, not this example. show emits only the numeric settings, the config path and evidence status; a missing value is null, not a guessed default. It does not inspect profile or command-line overrides.

set-compact preserves the context-window setting, profiles, comments and existing formatting; inserting a missing key may add a separating newline. It rejects nonpositive/out-of-range tokens and thresholds above an explicitly configured window. When the window is absent, leave it absent; model-derived runtime caps remain unverified. Before a changed write, back up the original and check for concurrent edits. Write atomically, run the local codex features list configuration-load check with captured output, and read back the target. Restore the original on validation failure unless a concurrent edit makes that unsafe. A no-op creates no backup. Do not echo diagnostic bodies that may contain unrelated configuration. Use show afterward as independent readback.

doctor

Run first for full expansion or model-cap diagnosis:

uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" doctor --json

It is read-only and reports:

• selected model resolved by Codex;
• catalog default, model maximum, and usable percentage;
• recommended raw window, usable window, and preset compaction point;
• current base-config values and whether apply is needed;
• exact $CODEX_HOME/config.toml target.

If Codex cannot return a live model catalog, stop the expansion path. Do not substitute remembered model limits, API marketing numbers, or a bundled default. Local show/set-compact remain independent of catalog availability.

apply

Run only after doctor succeeds:

uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" apply --json

The script:

1. Re-reads the live model contract.
2. Changes only the top-level model_context_window and model_auto_compact_token_limit keys.
3. Creates a content-addressed backup only when bytes will change.
4. Uses an atomic same-directory replace and refuses to overwrite a concurrently changed config.
5. Runs Codex strict-config diagnostics; a failure restores the exact prior bytes.
6. Reads the written file back and reports the values that future sessions will use.

Existing sessions do not grow in place. After success, tell the user to start a new CLI thread or restart/open a new Codex Desktop thread.

verify

Run after Codex upgrades, default-model changes, or on a newly configured machine. It exits non-zero when the current base config no longer equals the model-aware expansion preset. A deliberate custom threshold can differ from that preset; this is not proof that the saved threshold is invalid. Use show for its current base value.

uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" verify --json

Report the outcome

For a threshold-only change, report previous → saved tokens, backup path when changed, local configuration-load result and independent readback. Keep session_adoption: unverified until the actual consumer supplies evidence. Ask the user to start a new CLI thread or restart/open a new Desktop thread that reads this base config; do not claim the running thread changed. Profile and -c overrides can still supersede it.

For expansion, copy exact values from script output. Include:

• model slug;
• configured raw window;
• usable window shown to the session;
• automatic compaction threshold;
• whether the model capped the 1M request;
• config and backup paths;
• restart_required: true after a changed apply.

Refuse scope expansion

This Skill does not:

• change the selected model, reasoning effort, service tier, sandbox, approvals, plugins, MCP servers, browser/computer-use settings, or shell aliases;
• edit profile-specific config files or override per-command -c flags;
• claim the current running thread was expanded;
• force 1M when the selected model declares a smaller maximum;
• fall back to stale or guessed model metadata.

Read references/context_window_contract.md when diagnosing model caps, usable-window display, or compaction semantics.