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feat(predictive-echo): Phase 0 codex fixtures, measurements, package scaffolding
Recorder (scripts/dev/record-codex-frames.mjs) captures real codex 0.147 TUI output through the production pipeline (tmux status-off + the codex-mode full strip from session.ts) into JSONL fixtures with keystroke injection points; analyzer replays them through @xterm/headless for the measurements in docs/predictive-echo-plan.md. Composer signature /^> /-style (U+203A), modal and wrapped rows correctly rejected, echo is unstyled default-fg, tmux delivers echo as minimal in-place deltas. Package: types.ts gains optional cursorX/cursorY, getCell, onWriteParsed, onResize (all additive); prediction-renderer.ts renders per-glyph spans keyed by prediction seq; @xterm/headless@^6.0.0 devDep for replay tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Codeman maintainer
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# Predictive write-through echo for codex
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Zero-lag local echo for codex sessions via a second, mosh-style mode in the
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`xterm-zerolag-input` package: every keystroke goes to the PTY exactly as the
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1.12.2 overlay-disabled path did (byte-identical wire behavior), while a
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`PredictiveEchoAddon` simultaneously paints the predicted glyph at the predicted
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cell. When the real echo lands, the prediction is confirmed and its span removed
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(invisible swap: identical glyph beneath). Mispredictions drop via a mismatch
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cascade + TTL. Visual-only, self-healing.
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## Why this exists
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Issues #218/#219/#220/#222 (one root cause) forced 1.12.2 to disable the
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LocalEchoOverlay for codex: buffer-until-Enter starves codex's per-keystroke TUI
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(live slash picker, arrows editing server-side composer state, composer
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rewrap/growth, paste_burst classification). Buffer mode is structurally
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incompatible with codex; write-through prediction is the only echo mode that
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can coexist with it.
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## The reconciliation lesson (do not regress this)
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`docs/local-echo-overlay-plan.md` ("What NOT to Do") documented that matching
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predictions against the raw output STREAM fails against Ink/TUI full-line
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redraws. This design reads the parsed terminal BUFFER instead (cells after
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xterm's parser ran), which converges to the same cells no matter how the bytes
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arrived. The Phase 0 recordings prove the point twice over: tmux converts
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codex's full-line redraws into minimal in-place deltas (an echo arrives as
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`e\x1b[K\x1b[20;80H...`), and codex itself paints word gaps with ECH+cursor-forward
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instead of spaces. Stream matching can never survive that; buffer diffing does
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not care.
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## Phase 0 measurements (codex-cli 0.147.0 via tmux, 100x30, 2026-08-09)
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Recorded with `scripts/dev/record-codex-frames.mjs` (production pipeline:
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codex inside tmux `status off`, chunks passed through the same full strip
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`session.ts _handleTerminalOutput()` applies to codex mode). Fixtures in
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`packages/xterm-zerolag-input/test/fixtures/codex/`; replay/measure with
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`scripts/dev/analyze-codex-frames.mjs <fixture>`.
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| Question | Measured answer |
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| --------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Composer signature | Cursor row starts `"› "` (U+203A + space), text begins col 2. Present when empty (placeholder), while typing, and while the slash picker filters. `CODEX_COMPOSER_ROW_RE = /^› /` |
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| Composer text color | Plain default foreground, zero SGR around echoed chars. Span `foregroundColor` default (theme fg) is an exact match |
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| Placeholder | Cycling hint text ("Use /skills...", "Improve documentation in @filename", ...) rendered AT the cursor cell. First prediction lands over placeholder glyphs: covered by the snapshot + cursor-advance rules |
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| Wrap | Word-wrap near `cols - 2`; continuation rows are indented 2 spaces WITHOUT `› `. The gate therefore suppresses predictions on wrapped lines: deliberate fallback to real echo, wrap was the #220 ghost zone. `edgeMarginCells = 4` |
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| Modal (trust dialog) | Cursor parks on `" Press enter to continue"`: no `› ` prefix, gate false, zero predictions painted while keystrokes still reach the PTY (the ghost eliminator) |
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| Streaming | Error/reconnect bursts render above a re-rendered composer that keeps the `› ` signature; end-of-frame cursor parks at the insertion point (col 2 of the composer row). Confirms the cursor-advance confirm rule and the no-drop-on-baseY rule |
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| Echo shape under tmux | tmux emits minimal deltas for simple echoes and full repaints for busy frames; both converge in the parsed buffer |
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| Slash picker | Picker rows render below; the cursor row keeps the composer signature and advances per filter char, so predictions stay active while filtering (#222 surface) |
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Constants decided at the Phase 0 gate: `CODEX_COMPOSER_ROW_RE = /^› /`,
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`ttlMs = 1000`, `maxPending = 32`, `cursorGraceMs = 150`, `edgeMarginCells = 4`,
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span colors = theme defaults, `underlinePredictions = false`.
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## Algorithm
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See `PredictiveEchoAddon` in
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`packages/xterm-zerolag-input/src/predictive-echo-addon.ts`. Summary of the
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rules and why each exists:
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- **State**: ordered `PredictionRecord[]` (`seq`, `char`, `width`, cumulative
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`offsetCells`, `snapshot` of the cell at predict time, `sentAt`,
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`mismatches`), plus a run `_anchor {row, col}` captured when the outstanding
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count goes 0 -> 1. Positions are FIXED at predict time; confirmation deletes
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spans and never re-lays-out, so partial confirmation causes zero jitter.
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- **predictChar(ch)** runs an inline reconcile first and re-anchors whenever
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outstanding drains to zero (absorbs the echo-landed-between-keystrokes race).
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Guards: dims present, cursor numbers present, `viewportY === baseY`,
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`predictWhen` gate, single codepoint >= 0x20 (not 0x7f), width <= 2,
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`maxPending`, edge margin. Returns false = suppressed; the consumer sends the
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keystroke regardless.
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- **Coordinate base is `baseY`**: xterm's `cursorY` is baseY-relative, so
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absolute buffer line = `baseY + row`. `viewportY` would only coincide while
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the scrolled-to-bottom guards hold; the addon never relies on that.
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- **reconcile()** (debounced `onWriteParsed` microtask, inline in predictChar,
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TTL timer): clears everything when scrolled up; off-anchor-row cursor
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tolerated for `cursorGraceMs` then clears; PREFIX-ONLY confirm loop requiring
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cell match AND cursor advanced past the record (prevents false confirms
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against placeholder glyphs and makes identical in-place tmux repaints a
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no-op); TWO-PASS mismatch rule (a cell that is neither snapshot nor predicted
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char must persist across two passes before cascading the drop: a half-parsed
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row on pass N is fully redrawn a few ms later); TTL drop of the stale suffix.
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- **No drop on baseY change**: codex streams push lines to history while the
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composer stays viewport-pinned; predictions are row-relative to the pinned
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composer and remain valid (measured above).
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- **predictBackspace()** pops the newest outstanding record (informational
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return; the consumer forwards `\x7f` unconditionally). Deleting already-echoed
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text renders at RTT in v1.
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- **CJK/wide**: 2-cell spans, stacking by cumulative visual width, leading-cell
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confirm. In Codeman, IME input never reaches the hook (`window.cjkActive`
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returns from onData first); package support exists for other consumers.
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## Integration map (Codeman)
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- Policy: `_localEchoPolicy` (`'buffer' | 'predict' | 'off'`) computed at the
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end of `_updateLocalEchoState()`; codex + `localEchoEnabled` -> `'predict'`
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while `_localEchoEnabled` stays false (every 1.12.2 consumer unchanged).
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- onData hook sits between the buffer block and Normal Mode, classifies via
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`classifyPredictInput()` (pure, on `window.CodemanTerminalInput`), never
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returns, try/catch-wrapped: the wire path below is byte-identical with the
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predictor active, absent, or throwing.
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- Composer gate: `isCodexComposerRow()` set via `setPredictWhen()` at
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construction (the vendor footer stays package-agnostic).
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- Second vendor bundle `vendor/xterm-predictive-echo.js` (postinstall + build);
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the zerolag bundle build command is untouched and its output byte-identical.
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Missing/broken bundle = plain 1.12.2 echo (`typeof PredictiveEchoOverlay ===
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'undefined'` guard).
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- Prediction clears on: tab switch, SSE reconnect init, `insertTerminalText`,
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`clearTerminalInput`, voice send, keyboard-accessory `sendKey`, resize, skin
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and font changes re-read style via `refreshFont()`.
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## Risk register
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Eliminated structurally: other-mode regression (zero edits to buffer
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addon/branches, byte-identical existing bundle, policy-matrix + byte-identity
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tests); bundle breakage (separate bundle, graceful degradation); wire
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corruption (no-return fall-through + try/catch + byte-identity pins at vm and
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E2E level); modal ghosts (measured predictWhen gate); false confirms
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(cursor-advance rule); mid-parse flicker drops (two-pass rule); wrap
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misplacement (edge margin + continuation-row gate fallback + off-row grace).
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Accepted residuals (visual-only, self-healing <= ttlMs, kill-switchable via
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`localEchoEnabled` per device): no predictions on wrapped continuation lines
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(gate false there, deliberate); brief dropout during composer growth; DOM-span
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vs WebGL glyph rendering can differ subtly (same trade-off as the buffer
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overlay, same font recipe); typing during an unsynchronized half-frame can
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mis-anchor one run (mismatch/TTL cleans within 1s).
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## Future work
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RTT-adaptive TTL; mosh-style confidence gating (paint only after the link
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proves laggy); predicted backspace into echoed text; predict mode for shell
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prompts; unifying the small font/container duplication between the two addons
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once predict mode has proven out; continuation-line prediction behind a
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smarter composer-extent detector.
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Generated
+11
@@ -4547,6 +4547,16 @@
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"integrity": "sha512-b3fMOsyLVuCeNJWxolACEUED0vm7qC0cy4wRvf3oURSzDTYVQiGPhTnhWZwIHdvC48Y+oLhvYXnY4XDXPoJo6A==",
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"license": "MIT"
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},
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"node_modules/@xterm/headless": {
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"version": "6.0.0",
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"resolved": "https://registry.npmjs.org/@xterm/headless/-/headless-6.0.0.tgz",
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"integrity": "sha512-5Yj1QINYCyzrZtf8OFIHi47iQtI+0qYFPHmouEfG8dHNxbZ9Tb9YGSuLcsEwj9Z+OL75GJqPyJbyoFer80a2Hw==",
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"dev": true,
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"license": "MIT",
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"workspaces": [
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"addons/*"
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]
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},
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"node_modules/@xterm/xterm": {
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"version": "6.0.0",
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"resolved": "https://registry.npmjs.org/@xterm/xterm/-/xterm-6.0.0.tgz",
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@@ -12336,6 +12346,7 @@
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"version": "0.1.8",
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"license": "MIT",
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"devDependencies": {
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"@xterm/headless": "^6.0.0",
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"jsdom": "^24.1.3",
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"tsup": "^8.5.1",
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"typescript": "^5.5.0",
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@@ -50,6 +50,7 @@
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"directory": "packages/xterm-zerolag-input"
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},
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"devDependencies": {
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"@xterm/headless": "^6.0.0",
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"jsdom": "^24.1.3",
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"tsup": "^8.5.1",
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"typescript": "^5.5.0",
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@@ -0,0 +1,59 @@
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/**
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* Incremental DOM renderer for PredictiveEchoAddon.
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*
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* Unlike overlay-renderer.ts (which paints whole lines with an opaque
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* background out to totalCols), prediction spans cover ONLY the predicted
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* glyph's own cells: anything wider would blank real echo arriving around
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* a prediction. Spans are keyed by prediction seq for O(1) removal.
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*/
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import type { CellDimensions, FontStyle } from './types.js';
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export interface PredictionSpanParams {
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seq: number;
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/** Viewport-relative row (0-based). */
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row: number;
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/** Column (0-based). */
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col: number;
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char: string;
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/** Cell width of the glyph (1 or 2). */
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width: 1 | 2;
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dims: CellDimensions;
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font: FontStyle;
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underline: boolean;
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}
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export function addPredictionSpan(
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container: HTMLElement,
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map: Map<number, HTMLSpanElement>,
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p: PredictionSpanParams
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): void {
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const span = document.createElement('span');
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// cellH+1 height: covers the sub-pixel seam between rows (same trick the
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// buffer overlay renderer ships with). Background covers only this glyph's
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// cells, never a full row.
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span.style.cssText =
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`position:absolute;left:${p.col * p.dims.width}px;top:${p.row * p.dims.height}px;` +
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`width:${p.width * p.dims.width}px;height:${p.dims.height + 1}px;line-height:${p.dims.height}px;` +
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`text-align:center;pointer-events:none;` +
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`font-family:${p.font.fontFamily};font-size:${p.font.fontSize};font-weight:${p.font.fontWeight};` +
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(p.font.letterSpacing ? `letter-spacing:${p.font.letterSpacing};` : '') +
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`color:${p.font.color};background-color:${p.font.backgroundColor};` +
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`font-feature-settings:'liga' 0,'calt' 0;` +
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(p.underline ? 'text-decoration:underline;' : '');
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span.textContent = p.char;
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map.set(p.seq, span);
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container.appendChild(span);
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}
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export function removePredictionSpan(map: Map<number, HTMLSpanElement>, seq: number): void {
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const span = map.get(seq);
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if (span) {
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span.remove();
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map.delete(seq);
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}
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}
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export function clearAllSpans(map: Map<number, HTMLSpanElement>): void {
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for (const span of map.values()) span.remove();
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map.clear();
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}
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@@ -22,9 +22,15 @@ export interface XtermTerminal {
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readonly active: {
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readonly viewportY: number;
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readonly baseY: number;
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/** Cursor column (0-based). Used by PredictiveEchoAddon. */
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readonly cursorX?: number;
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/** Cursor row, relative to baseY (0-based). Used by PredictiveEchoAddon. */
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readonly cursorY?: number;
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getLine(y: number):
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| {
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translateToString(trimRight?: boolean): string;
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/** Cell access (xterm public API). Optional: mocks/exotic hosts may omit it. */
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getCell?(x: number): { getChars(): string; getWidth(): number } | undefined;
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}
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| undefined;
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};
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@@ -34,6 +40,10 @@ export interface XtermTerminal {
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getStringCellWidth(str: string): number;
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activeVersion?: string;
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};
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/** Fires after the parser finishes a write chunk. Used by PredictiveEchoAddon. */
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onWriteParsed?(cb: () => void): { dispose(): void };
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/** Fires on terminal resize. Used by PredictiveEchoAddon. */
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onResize?(cb: (size: { cols: number; rows: number }) => void): { dispose(): void };
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}
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/**
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@@ -0,0 +1,28 @@
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{"scenario":"paste-bracketed","cols":100,"rows":30,"codexVersion":"codex-cli 0.147.0","recordedAt":"2026-08-09T01:51:11.762Z"}
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{"delayMs":0,"data":"\u001b[22;0;0t\u001b[?1h\u001b=\u001b[H\u001b[2J\u001b[?12l\u001b[?25h\u001b[?2004h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[c\u001b[>c\u001b[>q\u001b]10;?\u001b\\\u001b]11;?\u001b\\\u001b[1;1H\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
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{"delayMs":0,"data":"\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[1;1H"}
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{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
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{"delayMs":45,"data":"\u001b[32m\u001b[1markon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-bWhHjh\u001b(B\u001b[m$ "}
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{"delayMs":638,"data":"exec codex\r\n"}
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{"delayMs":420,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
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{"delayMs":182,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
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{"delayMs":5,"data":"\r\n\u001b[J\u001b[A\u001b[K"}
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{"delayMs":0,"data":"\u001b[2;30r\u001b[2;1H\u001bM\u001bM\u001bM\u001b[33m⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\r\n\u001b[39m \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[1;30r\u001b[4;1H\u001b(B\u001b[m"}
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{"delayMs":1,"data":" \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[6;1H\u001b[39m\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b[3mloading\u001b(B\u001b[m\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-bWhHjh\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[14;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mSummarize rec\u001b(B\u001b[m\u001b[2ment commits\u001b[16;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-bWhHjh\u001b[14;3H\u001b(B\u001b[m"}
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{"delayMs":7,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;27H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
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{"delayMs":21,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;27H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":8,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;27H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":159,"data":"\u001b[6;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mSummarize recent commits\u001b[9;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-bWhHjh\u001b[7;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":21,"data":"\u001b[5;30r\u001b[5;1H\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\r\n\u001b[2m╭─────────────────────────────────────────────────╮\u001b[1;30r\u001b[7;1H\u001b(B\u001b[m\u001b[2m│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-bWhHjh\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[13;1H\u001b(B\u001b[m \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\r\n"}
|
||||
{"delayMs":0,"data":" reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[18;27H\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[24C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
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{"delayMs":0,"data":"\u001b[24C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":3487,"data":"\u001b[?7727h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[32m\u001b[1m\u001b[Harkon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-bWhHjh\u001b(B\u001b[m$ exec codex\u001b[K\u001b[33m\r\n⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\u001b[39m\u001b[K\r\n \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[39m\u001b[K\r\n \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[39m\u001b[K\r\n\u001b[K\u001b[2m\r\n╭─────────────────────────────────────────────────╮\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-bWhHjh\u001b[2m │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n╰─────────────────────────────────────────────────╯\u001b(B\u001b[m\u001b[K\r\n\u001b[K\r\n \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\u001b[K\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\u001b[K\r\n reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[1m\r\n›\u001b(B\u001b[m\u001b[1X\u001b[2m\u001b[CSummarize recent commits\u001b(B\u001b[m\u001b[K\r\n\u001b[K\u001b[20;2H\u001b[1K\u001b[38;5;223m\u001b[Cgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-bWhHjh\u001b[39m\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[18;3H"}
|
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{"keyAt":true,"data":"a"}
|
||||
{"delayMs":207,"data":"a\u001b[K\u001b[20;80H\u001b[K\u001b[18;4H"}
|
||||
{"keyAt":true,"data":"b"}
|
||||
{"delayMs":91,"data":"b\u001b[K\u001b[20;80H\u001b[K\u001b[18;5H"}
|
||||
{"keyAt":true,"data":"\u001b[200~XYZpasted\u001b[201~"}
|
||||
{"delayMs":383,"data":"XYZpasted\u001b[K\u001b[20;80H\u001b[K\u001b[18;14H"}
|
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@@ -0,0 +1,32 @@
|
||||
{"scenario":"slash-picker","cols":100,"rows":30,"codexVersion":"codex-cli 0.147.0","recordedAt":"2026-08-09T01:50:42.069Z"}
|
||||
{"delayMs":0,"data":"\u001b[22;0;0t\u001b[?1h\u001b=\u001b[H\u001b[2J\u001b[?12l\u001b[?25h\u001b[?2004h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[c\u001b[>c\u001b[>q\u001b]10;?\u001b\\\u001b]11;?\u001b\\\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":0,"data":"\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":37,"data":"\u001b[32m\u001b[1markon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-bw9Uto\u001b(B\u001b[m$ "}
|
||||
{"delayMs":647,"data":"exec codex\r\n"}
|
||||
{"delayMs":437,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":183,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":8,"data":"\r\n\u001b[J\u001b[A\u001b[K\u001b[2;30r\u001b[2;1H\u001bM\u001bM\u001bM\u001b[33m⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\r\n\u001b[39m \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\r\n\u001b[39m \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[6;1H\u001b[39m\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b[3mloading\u001b(B\u001b[m\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-bw9Uto\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[14;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mUse /skills to list available skills\u001b[16;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-bw9Uto\u001b[1;30r\u001b[14;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":9,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;39H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":12,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;39H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":10,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;39H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":157,"data":"\u001b[6;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mUse /skills to list available skills\u001b[9;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-bw9Uto\u001b[7;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":20,"data":"\u001b[5;30r\u001b[5;1H\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\r\n\u001b[2m╭─────────────────────────────────────────────────╮\u001b[1;30r\u001b[7;1H\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[2m│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-bw9Uto\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[13;1H\u001b(B\u001b[m \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\r\n"}
|
||||
{"delayMs":0,"data":" reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[18;39H\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[36C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[36C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":3476,"data":"\u001b[?7727h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[32m\u001b[1m\u001b[Harkon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-bw9Uto\u001b(B\u001b[m$ exec codex\u001b[K\u001b[33m\r\n⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\u001b[39m\u001b[K\r\n \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[39m\u001b[K\r\n \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[39m\u001b[K\r\n\u001b[K\u001b[2m\r\n╭─────────────────────────────────────────────────╮\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-bw9Uto\u001b[2m │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n╰─────────────────────────────────────────────────╯\u001b(B\u001b[m\u001b[K\r\n\u001b[K\r\n \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\u001b[K\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\u001b[K\r\n reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[1m\r\n›\u001b(B\u001b[m\u001b[1X\u001b[2m\u001b[CUse /skills to list available skills\u001b(B\u001b[m\u001b[K\r\n\u001b[K\u001b[20;2H\u001b[1K\u001b[38;5;223m\u001b[Cgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-bw9Uto\u001b[39m\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[18;3H"}
|
||||
{"keyAt":true,"data":"/"}
|
||||
{"delayMs":207,"data":"\u001b[17;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":1,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m/\u001b[20;3H\u001b[36m\u001b[1m/model choose what model and reasoning effort to use\u001b[21;3H\u001b(B\u001b[m/fast\u001b[10C\u001b[2m1.5x speed, increased usage\u001b[22;3H\u001b(B\u001b[m/ide\u001b[11C\u001b[2minclude current selection, open files, and other context from your IDE\u001b[23;3H\u001b(B\u001b[m/permissions\u001b[3C\u001b[2mchoose what Codex is allowed to do\u001b[24;3H\u001b(B\u001b[m/keymap\u001b[8C\u001b[2mremap TUI shortcuts\u001b[25;3H\u001b(B\u001b[m/vim\u001b[11C\u001b[2mtoggle Vim mode for the composer\u001b[26;3H\u001b(B\u001b[m/experimental\u001b[2C\u001b[2mtoggle experimental features\u001b[27;3H\u001b(B\u001b[m/approve\u001b[7C\u001b[2mapprove one retry of a recent auto-review denial\u001b[18;4H\u001b(B\u001b[m"}
|
||||
{"keyAt":true,"data":"m"}
|
||||
{"delayMs":398,"data":"\u001b[17;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":1,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m/m\u001b[20;3H\u001b[36m\u001b[1m/model choose what model and reasoning effort to use\u001b[21;3H\u001b(B\u001b[m/\u001b[1mm\u001b(B\u001b[memories\u001b[2C\u001b[2mconfigure memory use and generation\u001b[22;3H\u001b(B\u001b[m/\u001b[1mm\u001b(B\u001b[mention\u001b[3C\u001b[2mmention a file\u001b[23;3H\u001b(B\u001b[m/\u001b[1mm\u001b(B\u001b[mcp\u001b[7C\u001b[2mlist configured MCP tools; use /mcp verbose for details\u001b[18;5H\u001b(B\u001b[m"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":148,"data":"\u001b[17;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m/mo\u001b[20;3H\u001b[36m\u001b[1m/model choose what model and reasoning effort to use\u001b[18;6H\u001b(B\u001b[m"}
|
||||
{"keyAt":true,"data":"\u001b"}
|
||||
@@ -0,0 +1,233 @@
|
||||
{"scenario":"streaming-burst","cols":100,"rows":30,"codexVersion":"codex-cli 0.147.0","recordedAt":"2026-08-09T01:51:03.828Z"}
|
||||
{"delayMs":0,"data":"\u001b[22;0;0t\u001b[?1h\u001b=\u001b[H\u001b[2J\u001b[?12l\u001b[?25h\u001b[?2004h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[c\u001b[>c\u001b[>q\u001b]10;?\u001b\\\u001b]11;?\u001b\\\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":0,"data":"\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":39,"data":"\u001b[32m\u001b[1markon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b(B\u001b[m$ "}
|
||||
{"delayMs":635,"data":"exec codex\r\n"}
|
||||
{"delayMs":439,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":184,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":9,"data":"\r\n\u001b[J\u001b[A\u001b[K\u001b[2;30r\u001b[2;1H\u001bM\u001bM\u001bM\u001b[1;30r\u001b[2;1H\u001b[33m⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\r\n\u001b[39m \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\r\n\u001b(B\u001b[m \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[6;1H\u001b[39m\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b[3mloading\u001b(B\u001b[m\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-ruT16A\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[14;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mUse /skills to list available skills\u001b[16;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b[14;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":8,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;39H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":8,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;39H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":8,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;39H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":158,"data":"\u001b[6;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mUse /skills to list available skills\u001b[9;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b[7;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":21,"data":"\u001b[5;30r\u001b[5;1H\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\r\n\u001b[2m╭─────────────────────────────────────────────────╮\u001b[1;30r\u001b[7;1H\u001b(B\u001b[m\u001b[2m│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-ruT16A\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[13;1H\u001b(B\u001b[m \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\r\n"}
|
||||
{"delayMs":0,"data":" reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[18;39H\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[36C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":3486,"data":"\u001b[?7727h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[32m\u001b[1m\u001b[Harkon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b(B\u001b[m$ exec codex\u001b[K\u001b[33m\r\n⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\u001b[39m\u001b[K\r\n \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[39m\u001b[K\r\n \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[39m\u001b[K\r\n\u001b[K\u001b[2m\r\n╭─────────────────────────────────────────────────╮\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-ruT16A\u001b[2m │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n╰─────────────────────────────────────────────────╯\u001b(B\u001b[m\u001b[K\r\n\u001b[K\r\n \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\u001b[K\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\u001b[K\r\n reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[1m\r\n›\u001b(B\u001b[m\u001b[1X\u001b[2m\u001b[CUse /skills to list available skills\u001b(B\u001b[m\u001b[K\r\n\u001b[K\u001b[20;2H\u001b[1K\u001b[38;5;223m\u001b[Cgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b[39m\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[18;3H"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"delayMs":199,"data":"h\u001b[K\u001b[20;80H\u001b[K\u001b[18;4H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":40,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;5H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":40,"data":"l\u001b[K\u001b[20;80H\u001b[K\u001b[18;6H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":40,"data":"l\u001b[K\u001b[20;80H\u001b[K\u001b[18;7H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":40,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;8H"}
|
||||
{"keyAt":true,"data":"\r"}
|
||||
{"delayMs":281,"data":"\u001b[16;30r\u001b[16;1H\u001bM\u001bM\u001bM\u001bM\u001b[1;30r\u001b[18;1H"}
|
||||
{"delayMs":0,"data":"\u001b[1m\u001b[2m› \u001b(B\u001b[mhello\r\n"}
|
||||
{"delayMs":0,"data":"\u001b[22;3H\u001b[2mUse /skills to list available skills\u001b(B\u001b[m\u001b[K\u001b[24;80H\u001b[K\u001b[22;3H"}
|
||||
{"delayMs":12,"data":"\u001b[36C\u001b[K\u001b[24;80H\u001b[K\u001b[22;3H"}
|
||||
{"delayMs":6,"data":"\u001b[36C\u001b[K\u001b[24;80H\u001b[K\u001b[22;3H"}
|
||||
{"delayMs":6,"data":"\u001b[36C\u001b[K\u001b[24;80H\u001b[K\u001b[22;3H"}
|
||||
{"delayMs":118,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":1,"data":"\r\n•\u001b[C\u001b[2mWorking\u001b[C(0s • esc to interrupt)\u001b[24;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mUse /skills to list available skills\u001b[26;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b[24;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":34,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[3AW\u001b[30C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[21;1H\u001b[2m◦\u001b[C\u001b(B\u001b[m\u001b[1mW\u001b(B\u001b[mo\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;4H\u001b[1mo\u001b(B\u001b[mr\u001b[28C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":32,"data":"\u001b[21;5H\u001b[1mr\u001b(B\u001b[mk\u001b[27C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;6H\u001b[1mk\u001b(B\u001b[mi\u001b[26C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;7H\u001b[1mi\u001b(B\u001b[mn\u001b[25C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":34,"data":"\u001b[3AW\u001b[4C\u001b[1mn\u001b(B\u001b[mg\u001b[24C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":32,"data":"\u001b[21;34H\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;12H\u001b[2m1\u001b(B\u001b[m\u001b[21C\u001b[K\u001b[24;39H\u001b[K\u001b[26;80H\u001b[K\u001b[24;3H"}
|
||||
{"delayMs":19,"data":"\u001b[21;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":1,"data":"\r\n\u001b[2m◦\u001b[CReconne\u001b(B\u001b[mc\u001b[1mting.\u001b(B\u001b[m.\u001b[2m. 2/5\u001b[C(1s • esc to interrupt)\r\n └ Unexpected status 401 Unauthorized: {\r\n \"error\": {\r\n \"message\": \"Incorre, url: wss://api.openai.com/v1/responses, cf-ray: a2831cf59baa039d-ZRH,…\u001b[27;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mUse /skills to list available skills\u001b[29;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-ruT16A\u001b[27;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":33,"data":"\u001b[21;10H\u001b[2mc\u001b(B\u001b[mt\u001b[4C\u001b[1m.\u001b(B\u001b[m.\u001b[28C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;11H\u001b[2mt\u001b(B\u001b[mi\u001b[4C\u001b[1m.\u001b(B\u001b[m \u001b[27C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;12H\u001b[2mi\u001b(B\u001b[mn\u001b[4C\u001b[1m \u001b(B\u001b[m2\u001b[26C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[21;1H•\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;13H\u001b[2mn\u001b(B\u001b[mg\u001b[4C\u001b[1m2\u001b(B\u001b[m/\u001b[25C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;14H\u001b[2mg\u001b(B\u001b[m.\u001b[4C\u001b[1m/\u001b(B\u001b[m5\u001b[24C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":36,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[?25l\u001b[?12l\u001b[?25h\u001b[27;3H"}
|
||||
{"delayMs":31,"data":"\u001b[21;15H\u001b[2m.\u001b(B\u001b[m.\u001b[4C\u001b[1m5\u001b(B\u001b[m\u001b[24C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":32,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;16H\u001b[2m.\u001b(B\u001b[m.\u001b[28C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;17H\u001b[2m.\u001b(B\u001b[m \u001b[27C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":32,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":35,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;18H\u001b[2m \u001b(B\u001b[m2\u001b[26C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;19H\u001b[2m2\u001b(B\u001b[m/\u001b[25C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;20H\u001b[2m/\u001b(B\u001b[m5\u001b[24C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":32,"data":"\u001b[21;21H\u001b[2m5\u001b(B\u001b[m\u001b[24C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[21;1H\u001b[2m◦\u001b[27;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":34,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":21,"data":"\u001b[21;19H\u001b[2m3\u001b(B\u001b[m\u001b[26C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;85H\u001b[2maca388822\u001b(B\u001b[m\u001b[6C\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;24H\u001b[2m2\u001b(B\u001b[m\u001b[21C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[6AR\u001b[42C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[21;1H•\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[6A\u001b[1mR\u001b(B\u001b[me\u001b[41C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":33,"data":"\u001b[21;4H\u001b[1me\u001b(B\u001b[mc\u001b[40C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":32,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;5H\u001b[1mc\u001b(B\u001b[mo\u001b[39C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;6H\u001b[1mo\u001b(B\u001b[mn\u001b[38C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;7H\u001b[1mn\u001b(B\u001b[mn\u001b[37C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[6AR\u001b[4C\u001b[1mn\u001b(B\u001b[me\u001b[36C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[6A\u001b[2mR\u001b(B\u001b[me\u001b[4C\u001b[1me\u001b(B\u001b[mc\u001b[35C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;4H\u001b[2me\u001b(B\u001b[mc\u001b[4C\u001b[1mc\u001b(B\u001b[mt\u001b[34C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;100H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
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{"delayMs":0,"data":"\u001b[21;7H\u001b[1mn\u001b(B\u001b[mn\u001b[37C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
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||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
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{"delayMs":34,"data":"\u001b[6AR\u001b[4C\u001b[1mn\u001b(B\u001b[me\u001b[36C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
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{"delayMs":33,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
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||||
{"delayMs":0,"data":"\u001b[6A\u001b[2mR\u001b(B\u001b[me\u001b[4C\u001b[1me\u001b(B\u001b[mc\u001b[35C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":34,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
||||
{"delayMs":33,"data":"\u001b[21;46H\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[21;1H•\u001b[2C\u001b[2me\u001b(B\u001b[mc\u001b[4C\u001b[1mc\u001b(B\u001b[mt\u001b[27;3H"}
|
||||
{"delayMs":32,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":0,"data":"\u001b[21;5H\u001b[2mc\u001b(B\u001b[mo\u001b[4C\u001b[1mt\u001b(B\u001b[mi\u001b[33C\u001b[K\u001b[22;42H\u001b[K\u001b[23;17H\u001b[K\u001b[24;99H\u001b[K\u001b[27;39H\u001b[K\u001b[29;80H\u001b[K\u001b[27;3H"}
|
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@@ -0,0 +1,28 @@
|
||||
{"scenario":"trust-modal","cols":100,"rows":30,"codexVersion":"codex-cli 0.147.0","recordedAt":"2026-08-09T01:51:20.960Z"}
|
||||
{"delayMs":0,"data":"\u001b[22;0;0t\u001b[?1h\u001b=\u001b[H\u001b[2J\u001b[?12l\u001b[?25h\u001b[?2004h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[c\u001b[>c\u001b[>q\u001b]10;?\u001b\\\u001b]11;?\u001b\\\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":0,"data":"\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":28,"data":"\u001b[32m\u001b[1markon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-X4gHpE\u001b(B\u001b[m$ "}
|
||||
{"delayMs":654,"data":"exec codex\r\n"}
|
||||
{"delayMs":486,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":168,"data":"\u001b[30d\n\u001b[K\u001b[2d\u001b[J\u001b[H\u001b[K"}
|
||||
{"delayMs":2,"data":">\u001b[C\u001b[1mYou are in \u001b(B\u001b[m/home/arkon/default/claudeman-predictive/tmp/codexrec-work-X4gHpE\u001b[3;3H\u001b[33mNote: You’re in a subdirectory of a Git project. Trusting will apply to the repository root:\u001b[4;3H/home/arkon/default/claudeman\u001b[6;3H\u001b[39mDo\u001b[Cyou\u001b[Ctrust\u001b[Cthe\u001b[Ccontents\u001b[Cof\u001b[Cthis\u001b[Cdirectory?\u001b[CWorking\u001b[Cwith\u001b[Cuntrusted\u001b[Ccontents\u001b[Ccomes\u001b[Cwith\u001b[Chigher\u001b[7;3Hrisk\u001b[Cof\u001b[Cprompt\u001b[Cinjection.\u001b[CTrusting\u001b[Cthe\u001b[Cdirectory\u001b[Callows\u001b[Cproject-local\u001b[Cconfig,\u001b[Chooks,\u001b[Cand\u001b[Cexec\u001b[8;3Hpolicies\u001b[Cto\u001b[Cload.\u001b[10;1H\u001b[36m› 1. Yes, continue\u001b[11;3H\u001b[39m2.\u001b[CNo,\u001b[Cquit\u001b[13;3H\u001b[2mPress enter to continue\u001b[?25l\u001b(B\u001b[m"}
|
||||
{"delayMs":3659,"data":"\u001b[?7727h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[13;26H\u001b[?25l"}
|
||||
{"delayMs":0,"data":"\u001b[H>\u001b[1X\u001b[1m\u001b[CYou are in \u001b(B\u001b[m/home/arkon/default/claudeman-predictive/tmp/codexrec-work-X4gHpE\u001b[K\r\n\u001b[K\u001b[3;2H\u001b[1K\u001b[33m\u001b[CNote: You’re in a subdirectory of a Git project. Trusting will apply to the repository root:\u001b[39m\u001b[K\u001b[4;2H\u001b[1K\u001b[33m\u001b[C/home/arkon/default/claudeman\u001b[39m\u001b[K\r\n\u001b[K\u001b[6;2H\u001b[1K\u001b[CDo\u001b[1X\u001b[Cyou\u001b[1X\u001b[Ctrust\u001b[1X\u001b[Cthe\u001b[1X\u001b[Ccontents\u001b[1X\u001b[Cof\u001b[1X\u001b[Cthis\u001b[1X\u001b[Cdirectory?\u001b[1X\u001b[CWorking\u001b[1X\u001b[Cwith\u001b[1X\u001b[Cuntrusted\u001b[1X\u001b[Ccontents\u001b[1X\u001b[Ccomes\u001b[1X\u001b[Cwith\u001b[1X\u001b[Chigher\u001b[K\u001b[7;2H\u001b[1K\u001b[Crisk\u001b[1X\u001b[Cof\u001b[1X\u001b[Cprompt\u001b[1X\u001b[Cinjection.\u001b[1X\u001b[CTrusting\u001b[1X\u001b[Cthe\u001b[1X\u001b[Cdirectory\u001b[1X\u001b[Callows\u001b[1X\u001b[Cproject-local\u001b[1X\u001b[Cconfig,\u001b[1X\u001b[Chooks,\u001b[1X\u001b[Cand\u001b[1X\u001b[Cexec\u001b[K\u001b[8;2H\u001b[1K\u001b[Cpolicies\u001b[1X\u001b[Cto\u001b[1X\u001b[Cload.\u001b[K\r\n\u001b[K\u001b[36m\r\n› 1. Yes, continue\u001b[39m\u001b[K\u001b[11;2H\u001b[1K\u001b[C2.\u001b[1X\u001b[CNo,\u001b[1X\u001b[Cquit\u001b[K\r\n\u001b[K\u001b[13;2H\u001b[1K\u001b[2m\u001b[CPress enter to continue\u001b(B\u001b[m\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[13;26H"}
|
||||
{"keyAt":true,"data":"x"}
|
||||
{"delayMs":188,"data":"\u001b[1;79H\u001b[K\u001b[3;95H\u001b[K\u001b[4;32H\u001b[K\u001b[6;97H\u001b[K\u001b[7;96H\u001b[K\u001b[8;20H\u001b[K\u001b[10;19H\u001b[K\u001b[11;14H\u001b[K\u001b[13;26H\u001b[K\u001b[30;2H"}
|
||||
{"keyAt":true,"data":"\r"}
|
||||
{"delayMs":849,"data":"\u001b[2;1H\u001b[J\u001b[H\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001bM\u001bM\u001bM\r\n\u001b[33m⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\r\n\u001b(B\u001b[m\u001b[1;3r\u001b[3;1H\n\u001b[A \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[39m\r\n\u001b[K\u001b[1;30r\u001b[3;1H"}
|
||||
{"delayMs":2,"data":" \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[5;1H\u001b[39m\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b[3mloading\u001b(B\u001b[m\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-X4gHpE\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[13;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mImprove docum\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[2mentation in @filename\u001b[15;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-X4gHpE\u001b[13;3H\u001b[?12l\u001b[?25h\u001b(B\u001b[m"}
|
||||
{"delayMs":7,"data":"\u001b[5;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[13;37H\u001b[K\u001b[15;80H\u001b[K\u001b[13;3H"}
|
||||
{"delayMs":13,"data":"\u001b[5;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[13;37H\u001b[K\u001b[15;80H\u001b[K\u001b[13;3H"}
|
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{"delayMs":165,"data":"\u001b[5;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mImprove documentation in @filename\u001b[8;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-X4gHpE\u001b[6;3H\u001b(B\u001b[m"}
|
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{"delayMs":1,"data":"\u001b[34C\u001b[K\u001b[8;80H\u001b[K\u001b[6;3H"}
|
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{"delayMs":24,"data":"\u001b[4;30r\u001b[4;1H\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\r\n\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\u001b[1;30r\u001b[7;1H\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[2m│ │\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-X4gHpE\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[12;1H\u001b(B\u001b[m \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\r\n"}
|
||||
{"delayMs":0,"data":" reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[17;37H\u001b[K\u001b[19;80H\u001b[K\u001b[17;3H"}
|
||||
{"delayMs":1,"data":"\u001b[34C\u001b[K\u001b[19;80H\u001b[K\u001b[17;3H"}
|
||||
@@ -0,0 +1,33 @@
|
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{"scenario":"type-hello","cols":100,"rows":30,"codexVersion":"codex-cli 0.147.0","recordedAt":"2026-08-09T01:50:33.854Z"}
|
||||
{"delayMs":0,"data":"\u001b[22;0;0t\u001b[?1h\u001b=\u001b[H\u001b[2J\u001b[?12l\u001b[?25h\u001b[?2004h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[c\u001b[>c\u001b[>q\u001b]10;?\u001b\\\u001b]11;?\u001b\\\u001b[1;1H"}
|
||||
{"delayMs":1,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[1;1H\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
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||||
{"delayMs":32,"data":"\u001b[32m\u001b[1markon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-tXbGez\u001b(B\u001b[m$ "}
|
||||
{"delayMs":651,"data":"exec codex\r\n"}
|
||||
{"delayMs":403,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":189,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":7,"data":"\r\n\u001b[J\u001b[A\u001b[K"}
|
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{"delayMs":4,"data":"\u001b[2;30r\u001b[2;1H\u001bM\u001bM\u001bM\u001b[1;30r\u001b[2;1H\u001b[33m⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\r\n\u001b[39m \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\r\n\u001b[39m \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[6;1H\u001b[39m\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b[3mloading\u001b(B\u001b[m\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-tXbGez\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[14;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mImprove documentation in @filename\u001b[16;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-tXbGez\u001b[14;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":6,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;37H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":25,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;37H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
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{"delayMs":8,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;37H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":185,"data":"\u001b[6;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[5;30r\u001b[5;1H\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001b[1;30r\u001b[5;1H"}
|
||||
{"delayMs":0,"data":"\r\n\u001b[2m╭─────────────────────────────────────────────────╮\r\n\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[2m│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[2m│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-tXbGez\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[13;1H\u001b(B\u001b[m \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\r\n"}
|
||||
{"delayMs":0,"data":" produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\r\n"}
|
||||
{"delayMs":0,"data":" reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[18;1H\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mImprove documentation in @filename\u001b[20;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-tXbGez\u001b[18;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[34C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[34C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":3484,"data":"\u001b[?7727h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[32m\u001b[1m\u001b[Harkon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-tXbGez\u001b(B\u001b[m$ exec codex\u001b[K\u001b[33m\r\n⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\u001b[39m\u001b[K\r\n \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[39m\u001b[K\r\n \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[39m\u001b[K\r\n\u001b[K\u001b[2m\r\n╭─────────────────────────────────────────────────╮\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-tXbGez\u001b[2m │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n╰─────────────────────────────────────────────────╯\u001b(B\u001b[m\u001b[K\r\n\u001b[K\r\n \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\u001b[K\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\u001b[K\r\n reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[1m\r\n›\u001b(B\u001b[m\u001b[1X\u001b[2m\u001b[CImprove documentation in @filename\u001b(B\u001b[m\u001b[K\r\n\u001b[K\u001b[20;2H\u001b[1K\u001b[38;5;223m\u001b[Cgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-tXbGez\u001b[39m\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[18;3H"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"delayMs":208,"data":"h\u001b[K\u001b[20;80H\u001b[K\u001b[18;4H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":93,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;5H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":89,"data":"l\u001b[K\u001b[20;80H\u001b[K\u001b[18;6H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":92,"data":"l\u001b[K\u001b[20;80H\u001b[K\u001b[18;7H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":90,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;8H"}
|
||||
@@ -0,0 +1,250 @@
|
||||
{"scenario":"wrap","cols":100,"rows":30,"codexVersion":"codex-cli 0.147.0","recordedAt":"2026-08-09T01:50:52.462Z"}
|
||||
{"delayMs":0,"data":"\u001b[22;0;0t\u001b[?1h\u001b=\u001b[H\u001b[2J\u001b[?12l\u001b[?25h\u001b[?2004h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[c\u001b[>c\u001b[>q\u001b]10;?\u001b\\\u001b]11;?\u001b\\\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":0,"data":"\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[1;1H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[H"}
|
||||
{"delayMs":32,"data":"\u001b[32m\u001b[1markon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-VGU83J\u001b(B\u001b[m$ "}
|
||||
{"delayMs":650,"data":"exec codex\r\n"}
|
||||
{"delayMs":437,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":181,"data":"\u001b[?25l\u001b[?12l\u001b[?25h"}
|
||||
{"delayMs":4,"data":"\r\n\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[2;30r\u001b[2;1H\u001bM\u001bM\u001bM\u001b[1;30r\u001b[2;1H"}
|
||||
{"delayMs":0,"data":"\u001b[33m⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\r\n\u001b[39m \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\r\n\u001b(B\u001b[m"}
|
||||
{"delayMs":1,"data":" \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[6;1H\u001b[39m\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n│ model: \u001b[3mloading\u001b(B\u001b[m\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-VGU83J\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[14;1H\u001b(B\u001b[m\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mWrite tests for @filename\u001b[16;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-VGU83J\u001b[14;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":6,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;28H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":19,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;28H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":6,"data":"\u001b[6;52H\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\n\u001b[K\u001b[14;28H\u001b[K\u001b[16;80H\u001b[K\u001b[14;3H"}
|
||||
{"delayMs":160,"data":"\u001b[6;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"delayMs":0,"data":"\u001b[5;30r\u001b[5;1H\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001bM\u001b[1;30r\u001b[5;1H"}
|
||||
{"delayMs":0,"data":"\r\n\u001b[2m╭─────────────────────────────────────────────────╮\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\r\n│ │\r\n\u001b(B\u001b[m"}
|
||||
{"delayMs":0,"data":"\u001b[2m│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-VGU83J\u001b[2m │\r\n╰─────────────────────────────────────────────────╯\u001b[13;1H\u001b(B\u001b[m \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\r\n"}
|
||||
{"delayMs":0,"data":" reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[18;1H\u001b[1m›\u001b[C\u001b(B\u001b[m\u001b[2mWrite tests for @filename\u001b[20;3H\u001b(B\u001b[m\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-VGU83J\u001b[18;3H\u001b(B\u001b[m"}
|
||||
{"delayMs":18,"data":"\u001b[25C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":1,"data":"\u001b[25C\u001b[K\u001b[20;80H\u001b[K\u001b[18;3H"}
|
||||
{"delayMs":3478,"data":"\u001b[?7727h\u001b(B\u001b[m\u001b[?12l\u001b[?25h\u001b[1;1H\u001b[1;30r\u001b[18;3H"}
|
||||
{"delayMs":0,"data":"\u001b[?25l\u001b[32m\u001b[1m\u001b[Harkon@tnode\u001b(B\u001b[m:\u001b[34m\u001b[1m~/default/claudeman-predictive/tmp/codexrec-work-VGU83J\u001b(B\u001b[m$ exec codex\u001b[K\u001b[33m\r\n⚠ Codex could not find bubblewrap on PATH. Install bubblewrap with your OS package manager. See the\u001b[39m\u001b[K\r\n \u001b[33msandbox prerequisites: https://developers.openai.com/codex/concepts/sandboxing#prerequisites.\u001b[39m\u001b[K\r\n \u001b[33mCodex will use the bundled bubblewrap in the meantime.\u001b[39m\u001b[K\r\n\u001b[K\u001b[2m\r\n╭─────────────────────────────────────────────────╮\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ >_ \u001b(B\u001b[m\u001b[1mOpenAI Codex\u001b(B\u001b[m\u001b[2m (v0.147.0) │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ model: \u001b(B\u001b[mgpt-5.6-sol\u001b[2m \u001b(B\u001b[m\u001b[36m/model\u001b[39m\u001b[2m to change │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n│ directory: \u001b(B\u001b[m~/default/…/tmp/codexrec-work-VGU83J\u001b[2m │\u001b(B\u001b[m\u001b[K\u001b[2m\r\n╰─────────────────────────────────────────────────╯\u001b(B\u001b[m\u001b[K\r\n\u001b[K\r\n \u001b[1mTip:\u001b(B\u001b[m Our most capable model yet. GPT-5.6 Sol can tackle complex code changes, dig into research,\u001b[K\r\n produce polished documents, and take on your most ambitious work. Sol is highly capable at lower\u001b[K\r\n reasoning efforts—try starting lower, then turn it up for harder jobs.\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[1m\r\n›\u001b(B\u001b[m\u001b[1X\u001b[2m\u001b[CWrite tests for @filename\u001b(B\u001b[m\u001b[K\r\n\u001b[K\u001b[20;2H\u001b[1K\u001b[38;5;223m\u001b[Cgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-VGU83J\u001b[39m\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\r\n\u001b[K\u001b[?12l\u001b[?25h\u001b[18;3H"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"delayMs":232,"data":"t\u001b[K\u001b[20;80H\u001b[K\u001b[18;4H"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"delayMs":27,"data":"h\u001b[K\u001b[20;80H\u001b[K\u001b[18;5H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":27,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;6H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;7H"}
|
||||
{"keyAt":true,"data":"q"}
|
||||
{"delayMs":26,"data":"q\u001b[K\u001b[20;80H\u001b[K\u001b[18;8H"}
|
||||
{"keyAt":true,"data":"u"}
|
||||
{"delayMs":17,"data":"u\u001b[K\u001b[20;80H\u001b[K\u001b[18;9H"}
|
||||
{"keyAt":true,"data":"i"}
|
||||
{"delayMs":28,"data":"i\u001b[K\u001b[20;80H\u001b[K\u001b[18;10H"}
|
||||
{"keyAt":true,"data":"c"}
|
||||
{"delayMs":27,"data":"c\u001b[K\u001b[20;80H\u001b[K\u001b[18;11H"}
|
||||
{"keyAt":true,"data":"k"}
|
||||
{"delayMs":27,"data":"k\u001b[K\u001b[20;80H\u001b[K\u001b[18;12H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"keyAt":true,"data":"b"}
|
||||
{"delayMs":27,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;13H"}
|
||||
{"delayMs":16,"data":"b\u001b[K\u001b[20;80H\u001b[K\u001b[18;14H"}
|
||||
{"keyAt":true,"data":"r"}
|
||||
{"delayMs":30,"data":"r\u001b[K\u001b[20;80H\u001b[K\u001b[18;15H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":27,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;16H"}
|
||||
{"keyAt":true,"data":"w"}
|
||||
{"delayMs":27,"data":"w\u001b[K\u001b[20;80H\u001b[K\u001b[18;17H"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":27,"data":"n\u001b[K\u001b[20;80H\u001b[K\u001b[18;18H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"keyAt":true,"data":"f"}
|
||||
{"delayMs":45,"data":"\u001b[Cf\u001b[K\u001b[20;80H\u001b[K\u001b[18;20H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":27,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;21H"}
|
||||
{"keyAt":true,"data":"x"}
|
||||
{"delayMs":26,"data":"x\u001b[K\u001b[20;80H\u001b[K\u001b[18;22H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;23H"}
|
||||
{"keyAt":true,"data":"j"}
|
||||
{"keyAt":true,"data":"u"}
|
||||
{"delayMs":27,"data":"j\u001b[K\u001b[20;80H\u001b[K\u001b[18;24H"}
|
||||
{"keyAt":true,"data":"m"}
|
||||
{"delayMs":46,"data":"um\u001b[K\u001b[20;80H\u001b[K\u001b[18;26H"}
|
||||
{"keyAt":true,"data":"p"}
|
||||
{"delayMs":26,"data":"p\u001b[K\u001b[20;80H\u001b[K\u001b[18;27H"}
|
||||
{"keyAt":true,"data":"s"}
|
||||
{"delayMs":28,"data":"s\u001b[K\u001b[20;80H\u001b[K\u001b[18;28H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;29H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":16,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;30H"}
|
||||
{"keyAt":true,"data":"v"}
|
||||
{"delayMs":31,"data":"v\u001b[K\u001b[20;80H\u001b[K\u001b[18;31H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":26,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;32H"}
|
||||
{"keyAt":true,"data":"r"}
|
||||
{"delayMs":28,"data":"r\u001b[K\u001b[20;80H\u001b[K\u001b[18;33H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":26,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;34H"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"delayMs":45,"data":"th\u001b[K\u001b[20;80H\u001b[K\u001b[18;36H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":27,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;37H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;38H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":27,"data":"l\u001b[K\u001b[20;80H\u001b[K\u001b[18;39H"}
|
||||
{"keyAt":true,"data":"a"}
|
||||
{"keyAt":true,"data":"z"}
|
||||
{"delayMs":28,"data":"a\u001b[K\u001b[20;80H\u001b[K\u001b[18;40H"}
|
||||
{"keyAt":true,"data":"y"}
|
||||
{"delayMs":26,"data":"z\u001b[K\u001b[20;80H\u001b[K\u001b[18;41H"}
|
||||
{"delayMs":17,"data":"y\u001b[K\u001b[20;80H\u001b[K\u001b[18;42H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":29,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;43H"}
|
||||
{"keyAt":true,"data":"d"}
|
||||
{"delayMs":27,"data":"d\u001b[K\u001b[20;80H\u001b[K\u001b[18;44H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":27,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;45H"}
|
||||
{"keyAt":true,"data":"g"}
|
||||
{"delayMs":27,"data":"g\u001b[K\u001b[20;80H\u001b[K\u001b[18;46H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"keyAt":true,"data":"a"}
|
||||
{"delayMs":45,"data":"\u001b[Ca\u001b[K\u001b[20;80H\u001b[K\u001b[18;48H"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":26,"data":"n\u001b[K\u001b[20;80H\u001b[K\u001b[18;49H"}
|
||||
{"keyAt":true,"data":"d"}
|
||||
{"delayMs":28,"data":"d\u001b[K\u001b[20;80H\u001b[K\u001b[18;50H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":26,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;51H"}
|
||||
{"keyAt":true,"data":"k"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":27,"data":"k\u001b[20;80H\u001b[K\u001b[18;52H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":26,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;53H"}
|
||||
{"delayMs":17,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;54H"}
|
||||
{"keyAt":true,"data":"p"}
|
||||
{"delayMs":28,"data":"p\u001b[K\u001b[20;80H\u001b[K\u001b[18;55H"}
|
||||
{"keyAt":true,"data":"s"}
|
||||
{"delayMs":27,"data":"s\u001b[K\u001b[20;80H\u001b[K\u001b[18;56H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;57H"}
|
||||
{"keyAt":true,"data":"r"}
|
||||
{"keyAt":true,"data":"u"}
|
||||
{"delayMs":27,"data":"r\u001b[K\u001b[20;80H\u001b[K\u001b[18;58H"}
|
||||
{"delayMs":17,"data":"u\u001b[K\u001b[20;80H\u001b[K\u001b[18;59H"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":29,"data":"n\u001b[K\u001b[20;80H\u001b[K\u001b[18;60H"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":26,"data":"n\u001b[K\u001b[20;80H\u001b[K\u001b[18;61H"}
|
||||
{"keyAt":true,"data":"i"}
|
||||
{"delayMs":28,"data":"i\u001b[K\u001b[20;80H\u001b[K\u001b[18;62H"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":26,"data":"n\u001b[K\u001b[20;80H\u001b[K\u001b[18;63H"}
|
||||
{"keyAt":true,"data":"g"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":45,"data":"g\u001b[K\u001b[20;80H\u001b[K\u001b[18;65H"}
|
||||
{"keyAt":true,"data":"u"}
|
||||
{"delayMs":28,"data":"u\u001b[K\u001b[20;80H\u001b[K\u001b[18;66H"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":27,"data":"n\u001b[K\u001b[20;80H\u001b[K\u001b[18;67H"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"keyAt":true,"data":"i"}
|
||||
{"delayMs":27,"data":"t\u001b[K\u001b[20;80H\u001b[K\u001b[18;68H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":45,"data":"il\u001b[K\u001b[20;80H\u001b[K\u001b[18;70H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":28,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;71H"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"delayMs":26,"data":"t\u001b[K\u001b[20;80H\u001b[K\u001b[18;72H"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":28,"data":"h\u001b[K\u001b[20;80H\u001b[K\u001b[18;73H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":45,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;75H"}
|
||||
{"keyAt":true,"data":"c"}
|
||||
{"delayMs":27,"data":"c\u001b[K\u001b[20;80H\u001b[K\u001b[18;76H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":28,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;77H"}
|
||||
{"keyAt":true,"data":"m"}
|
||||
{"keyAt":true,"data":"p"}
|
||||
{"delayMs":27,"data":"m\u001b[K\u001b[20;80H\u001b[K\u001b[18;78H"}
|
||||
{"delayMs":16,"data":"p\u001b[K\u001b[20;80H\u001b[K\u001b[18;79H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":30,"data":"o\u001b[K\u001b[2B\u001b[K\u001b[2A"}
|
||||
{"keyAt":true,"data":"s"}
|
||||
{"delayMs":27,"data":"s\u001b[K\u001b[20;80H\u001b[K\u001b[18;81H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":27,"data":"e\u001b[K\u001b[20;80H\u001b[K\u001b[18;82H"}
|
||||
{"keyAt":true,"data":"r"}
|
||||
{"delayMs":27,"data":"r\u001b[K\u001b[20;80H\u001b[K\u001b[18;83H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":16,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;84H"}
|
||||
{"keyAt":true,"data":"b"}
|
||||
{"delayMs":30,"data":"b\u001b[K\u001b[20;80H\u001b[K\u001b[18;85H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":27,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;86H"}
|
||||
{"keyAt":true,"data":"x"}
|
||||
{"delayMs":27,"data":"x\u001b[K\u001b[20;80H\u001b[K\u001b[18;87H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":26,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;88H"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"delayMs":17,"data":"h\u001b[K\u001b[20;80H\u001b[K\u001b[18;89H"}
|
||||
{"keyAt":true,"data":"a"}
|
||||
{"delayMs":28,"data":"a\u001b[K\u001b[20;80H\u001b[K\u001b[18;90H"}
|
||||
{"keyAt":true,"data":"s"}
|
||||
{"delayMs":27,"data":"s\u001b[K\u001b[20;80H\u001b[K\u001b[18;91H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":28,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;92H"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"delayMs":26,"data":"t\u001b[K\u001b[20;80H\u001b[K\u001b[18;93H"}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"o\u001b[K\u001b[20;80H\u001b[K\u001b[18;94H"}
|
||||
{"delayMs":16,"data":"\u001b[K\u001b[20;80H\u001b[K\u001b[18;95H"}
|
||||
{"keyAt":true,"data":"w"}
|
||||
{"delayMs":30,"data":"w\u001b[K\u001b[20;80H\u001b[K\u001b[18;96H"}
|
||||
{"keyAt":true,"data":"r"}
|
||||
{"delayMs":27,"data":"r\u001b[K\u001b[20;80H\u001b[K\u001b[18;97H"}
|
||||
{"keyAt":true,"data":"a"}
|
||||
{"delayMs":26,"data":"a\u001b[K\u001b[20;80H\u001b[K\u001b[18;98H"}
|
||||
{"keyAt":true,"data":"p"}
|
||||
{"delayMs":27,"data":"p\u001b[K\u001b[20;80H\u001b[K\u001b[18;99H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[17;1H\u001b[J\u001b[A\u001b[K"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"delayMs":1,"data":"\u001b[2B\u001b[1m›\u001b[C\u001b(B\u001b[mthe\u001b[Cquick\u001b[Cbrown\u001b[Cfox\u001b[Cjumps\u001b[Cover\u001b[Cthe\u001b[Clazy\u001b[Cdog\u001b[Cand\u001b[Ckeeps\u001b[Crunning\u001b[Cuntil\u001b[Cthe\u001b[Ccomposer\u001b[Cbox\u001b[Chas\u001b[Cto\u001b[Cwrap\u001b[21;3H\u001b[38;5;223mgpt-5.6-sol default\u001b[39m\u001b[2m · \u001b(B\u001b[m\u001b[38;5;151m~/default/claudeman-predictive/tmp/codexrec-work-VGU83J\u001b[19;3H\u001b(B\u001b[m"}
|
||||
{"keyAt":true,"data":"h"}
|
||||
{"delayMs":42,"data":"\u001b[18;99H\u001b[K\u001b[19;3Hth\u001b[21;80H\u001b[K\u001b[19;5H"}
|
||||
{"keyAt":true,"data":"i"}
|
||||
{"delayMs":29,"data":"\u001b[18;99H\u001b[K\u001b[19;5Hi\u001b[K\u001b[21;80H\u001b[K\u001b[19;6H"}
|
||||
{"keyAt":true,"data":"s"}
|
||||
{"delayMs":27,"data":"\u001b[18;99H\u001b[K\u001b[19;6Hs\u001b[K\u001b[21;80H\u001b[K\u001b[19;7H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[18;99H\u001b[K\u001b[19;7H\u001b[K\u001b[21;80H\u001b[K\u001b[19;8H"}
|
||||
{"keyAt":true,"data":"l"}
|
||||
{"delayMs":26,"data":"\u001b[18;99H\u001b[K\u001b[19;8Hl\u001b[K\u001b[21;80H\u001b[K\u001b[19;9H"}
|
||||
{"keyAt":true,"data":"i"}
|
||||
{"keyAt":true,"data":"n"}
|
||||
{"delayMs":45,"data":"\u001b[18;99H\u001b[K\u001b[19;9Hin\u001b[K\u001b[21;80H\u001b[K\u001b[19;11H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":27,"data":"\u001b[18;99H\u001b[K\u001b[19;11He\u001b[K\u001b[21;80H\u001b[K\u001b[19;12H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"delayMs":27,"data":"\u001b[18;99H\u001b[K\u001b[19;12H\u001b[K\u001b[21;80H\u001b[K\u001b[19;13H"}
|
||||
{"keyAt":true,"data":"t"}
|
||||
{"delayMs":27,"data":"\u001b[18;99H\u001b[K\u001b[19;13Ht\u001b[K\u001b[21;80H\u001b[K\u001b[19;14H"}
|
||||
{"keyAt":true,"data":"w"}
|
||||
{"keyAt":true,"data":"i"}
|
||||
{"delayMs":45,"data":"\u001b[18;99H\u001b[K\u001b[19;14Hwi\u001b[K\u001b[21;80H\u001b[K\u001b[19;16H"}
|
||||
{"keyAt":true,"data":"c"}
|
||||
{"delayMs":28,"data":"\u001b[18;99H\u001b[K\u001b[19;16Hc\u001b[K\u001b[21;80H\u001b[K\u001b[19;17H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":26,"data":"\u001b[18;99H\u001b[K\u001b[19;17He\u001b[K\u001b[21;80H\u001b[K\u001b[19;18H"}
|
||||
{"keyAt":true,"data":" "}
|
||||
{"keyAt":true,"data":"o"}
|
||||
{"delayMs":28,"data":"\u001b[18;99H\u001b[K\u001b[19;18H\u001b[K\u001b[21;80H\u001b[K\u001b[19;19H"}
|
||||
{"keyAt":true,"data":"v"}
|
||||
{"delayMs":26,"data":"\u001b[18;99H\u001b[K\u001b[19;19Ho\u001b[K\u001b[21;80H\u001b[K\u001b[19;20H"}
|
||||
{"keyAt":true,"data":"e"}
|
||||
{"delayMs":26,"data":"\u001b[18;99H\u001b[K\u001b[19;20Hv\u001b[K\u001b[21;80H\u001b[K\u001b[19;21H"}
|
||||
{"delayMs":17,"data":"\u001b[18;99H\u001b[K\u001b[19;21He\u001b[K\u001b[21;80H\u001b[K\u001b[19;22H"}
|
||||
{"keyAt":true,"data":"r"}
|
||||
{"delayMs":29,"data":"\u001b[18;99H\u001b[K\u001b[19;22Hr\u001b[K\u001b[21;80H\u001b[K\u001b[19;23H"}
|
||||
@@ -0,0 +1,57 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* @fileoverview Replays a codex fixture (recorded by record-codex-frames.mjs)
|
||||
* through @xterm/headless and prints the measurements the predictive-echo
|
||||
* design doc records: cursor position + composer-row text at every keystroke
|
||||
* injection point, and the final screen with cursor + baseY state.
|
||||
*
|
||||
* Usage: node scripts/dev/analyze-codex-frames.mjs <fixture.jsonl>
|
||||
*/
|
||||
import { readFileSync } from 'node:fs';
|
||||
import { createRequire } from 'node:module';
|
||||
|
||||
const require = createRequire(import.meta.url);
|
||||
const { Terminal } = require('@xterm/headless');
|
||||
|
||||
const file = process.argv[2];
|
||||
if (!file) throw new Error('usage: analyze-codex-frames.mjs <fixture.jsonl>');
|
||||
const lines = readFileSync(file, 'utf8').trim().split('\n').map(JSON.parse);
|
||||
const meta = lines.shift();
|
||||
console.log('meta:', JSON.stringify(meta));
|
||||
|
||||
const term = new Terminal({ cols: meta.cols, rows: meta.rows, scrollback: 1000, allowProposedApi: true });
|
||||
const write = (data) => new Promise((r) => term.write(data, r));
|
||||
|
||||
const snap = () => {
|
||||
const buf = term.buffer.active;
|
||||
const row = buf.getLine(buf.baseY + buf.cursorY);
|
||||
return {
|
||||
cursorX: buf.cursorX,
|
||||
cursorY: buf.cursorY,
|
||||
baseY: buf.baseY,
|
||||
rowText: row ? row.translateToString(true) : null,
|
||||
cursorCell: row?.getCell?.(buf.cursorX)?.getChars() ?? null,
|
||||
};
|
||||
};
|
||||
|
||||
for (const line of lines) {
|
||||
if (line.keyAt) {
|
||||
const s = snap();
|
||||
console.log(`KEY ${JSON.stringify(line.data)} @ cursor(${s.cursorX},${s.cursorY}) baseY=${s.baseY}`);
|
||||
console.log(` row: ${JSON.stringify(s.rowText)}`);
|
||||
console.log(` cell-at-cursor: ${JSON.stringify(s.cursorCell)}`);
|
||||
} else {
|
||||
await write(line.data);
|
||||
}
|
||||
}
|
||||
|
||||
const final = snap();
|
||||
console.log('\nFINAL screen (| marks cursor row/col):');
|
||||
const buf = term.buffer.active;
|
||||
for (let y = 0; y < meta.rows; y++) {
|
||||
const line = buf.getLine(buf.baseY + y);
|
||||
let text = line ? line.translateToString(true) : '';
|
||||
if (y === final.cursorY) text = text.slice(0, final.cursorX) + '|' + text.slice(final.cursorX);
|
||||
if (text.trim()) console.log(String(y).padStart(3), JSON.stringify(text));
|
||||
}
|
||||
console.log('cursor:', JSON.stringify(final), 'viewportY:', buf.viewportY);
|
||||
@@ -0,0 +1,190 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* @fileoverview Records real codex TUI output into JSONL fixtures for the
|
||||
* predictive-echo replay tests (packages/xterm-zerolag-input/test/codex-replay.test.ts).
|
||||
*
|
||||
* The pipeline reproduces production byte-for-byte: codex runs inside tmux
|
||||
* (status off, like tmux-manager.ts sessions) driven through a node-pty client,
|
||||
* and every chunk passes through the SAME full strip session.ts applies to
|
||||
* codex-mode output (alt-screen toggles, \x1b[3J, mouse DECSETs, with the
|
||||
* split-sequence carry). What lands in the fixture is what xterm.js receives.
|
||||
*
|
||||
* Fixture format: line 1 is a meta object {scenario, cols, rows, codexVersion,
|
||||
* recordedAt}; every following line is {delayMs, data} where delayMs is the gap
|
||||
* since the previous chunk and data is the stripped chunk. Keystroke injection
|
||||
* points are recorded as {keyAt: true, data} lines so the replay knows where
|
||||
* predictChar() calls belong.
|
||||
*
|
||||
* Usage: node scripts/dev/record-codex-frames.mjs <scenario|all> [--out <dir>]
|
||||
* Scenarios: type-hello, slash-picker, wrap, streaming-burst, paste-bracketed
|
||||
*
|
||||
* The CODEX_HOME is a throwaway temp dir with a fake auth.json; the fake key is
|
||||
* asserted absent from every recorded byte before the fixture is written.
|
||||
*/
|
||||
import pty from 'node-pty';
|
||||
import { execSync } from 'node:child_process';
|
||||
import { mkdtempSync, writeFileSync, mkdirSync, rmSync } from 'node:fs';
|
||||
import { join, dirname } from 'node:path';
|
||||
import { fileURLToPath } from 'node:url';
|
||||
|
||||
const ROOT = join(dirname(fileURLToPath(import.meta.url)), '..', '..');
|
||||
const FAKE_KEY = 'sk-test-123';
|
||||
const COLS = 100;
|
||||
const ROWS = 30;
|
||||
const BOOT_WAIT_MS = 4500;
|
||||
// NOT under /tmp: codex prints a "Refusing to create helper binaries under
|
||||
// temporary dir" warning that embeds the CODEX_HOME path when it lives in /tmp.
|
||||
// The repo's gitignored tmp/ avoids both the warning and the path leak.
|
||||
const SCRATCH = join(ROOT, 'tmp');
|
||||
|
||||
// Mirror of the codex-mode FULL strip in session.ts _handleTerminalOutput().
|
||||
function makeStripper() {
|
||||
let carry = '';
|
||||
return (data) => {
|
||||
data = carry + data;
|
||||
carry = '';
|
||||
const splitTail = data.match(/\x1b(?:\[\??[0-9]{0,4})?$/);
|
||||
if (splitTail) {
|
||||
carry = splitTail[0];
|
||||
data = data.slice(0, -splitTail[0].length);
|
||||
}
|
||||
return data
|
||||
.replace(/\x1b\[\?(?:47|1047|1049)[hl]/g, '')
|
||||
.replace(/\x1b\[3J/g, '')
|
||||
.replace(/\x1b\[\?(?:1000|1001|1002|1003|1005|1006|1007)[hl]/g, '');
|
||||
};
|
||||
}
|
||||
|
||||
// Each step: wait `waitMs` after the previous step, then write `keys` to the pty.
|
||||
const SCENARIOS = {
|
||||
'type-hello': [
|
||||
...'hello'.split('').map((ch, i) => ({ waitMs: i === 0 ? BOOT_WAIT_MS : 90, keys: ch })),
|
||||
{ waitMs: 1500, keys: '' },
|
||||
],
|
||||
'slash-picker': [
|
||||
{ waitMs: BOOT_WAIT_MS, keys: '/' },
|
||||
{ waitMs: 400, keys: 'm' },
|
||||
{ waitMs: 150, keys: 'o' },
|
||||
{ waitMs: 1200, keys: '\x1b' },
|
||||
{ waitMs: 500, keys: '' },
|
||||
],
|
||||
wrap: [
|
||||
{ waitMs: BOOT_WAIT_MS, keys: '' },
|
||||
...'the quick brown fox jumps over the lazy dog and keeps running until the composer box has to wrap this line twice over'
|
||||
.split('')
|
||||
.map((ch) => ({ waitMs: 25, keys: ch })),
|
||||
{ waitMs: 1500, keys: '' },
|
||||
],
|
||||
'streaming-burst': [
|
||||
...'hello'.split('').map((ch, i) => ({ waitMs: i === 0 ? BOOT_WAIT_MS : 40, keys: ch })),
|
||||
{ waitMs: 300, keys: '\r' },
|
||||
{ waitMs: 5000, keys: '' },
|
||||
],
|
||||
'paste-bracketed': [
|
||||
{ waitMs: BOOT_WAIT_MS, keys: 'a' },
|
||||
{ waitMs: 90, keys: 'b' },
|
||||
{ waitMs: 400, keys: '\x1b[200~XYZpasted\x1b[201~' },
|
||||
{ waitMs: 1500, keys: '' },
|
||||
],
|
||||
// First-run trust dialog: the modal surface where typed chars must NOT be
|
||||
// predicted (the predictWhen ghost eliminator). Recorded UNTRUSTED so the
|
||||
// dialog actually appears; 'x' exercises typing at a non-composer cursor.
|
||||
'trust-modal': {
|
||||
trusted: false,
|
||||
steps: [
|
||||
{ waitMs: BOOT_WAIT_MS, keys: 'x' },
|
||||
{ waitMs: 800, keys: '\r' },
|
||||
{ waitMs: 2500, keys: '' },
|
||||
],
|
||||
},
|
||||
};
|
||||
|
||||
async function record(scenario, outDir) {
|
||||
const spec = SCENARIOS[scenario];
|
||||
if (!spec) throw new Error(`unknown scenario ${scenario}`);
|
||||
const steps = Array.isArray(spec) ? spec : spec.steps;
|
||||
const trusted = Array.isArray(spec) ? true : (spec.trusted ?? true);
|
||||
|
||||
mkdirSync(SCRATCH, { recursive: true });
|
||||
const lab = mkdtempSync(join(SCRATCH, 'codexrec-'));
|
||||
writeFileSync(join(lab, 'auth.json'), JSON.stringify({ OPENAI_API_KEY: FAKE_KEY }));
|
||||
const workdir = mkdtempSync(join(SCRATCH, 'codexrec-work-'));
|
||||
if (trusted) {
|
||||
// Pre-trust the workdir so boot goes straight to the composer instead of
|
||||
// the first-run trust dialog (which trust-modal records deliberately).
|
||||
writeFileSync(join(lab, 'config.toml'), `[projects."${workdir}"]\ntrust_level = "trusted"\n`);
|
||||
}
|
||||
const sock = `codexrec-${process.pid}`;
|
||||
const codexVersion = execSync('codex --version', { encoding: 'utf8' }).trim();
|
||||
|
||||
const lines = [];
|
||||
const strip = makeStripper();
|
||||
let lastChunkAt = null;
|
||||
let recording = true;
|
||||
const proc = pty.spawn(
|
||||
'tmux',
|
||||
['-L', sock, '-f', '/dev/null', 'new-session', '-s', 'rec', ';', 'set', '-t', 'rec', 'status', 'off'],
|
||||
{
|
||||
name: 'xterm-256color',
|
||||
cols: COLS,
|
||||
rows: ROWS,
|
||||
cwd: workdir,
|
||||
env: { ...process.env, CODEX_HOME: lab, SHELL: '/bin/bash' },
|
||||
}
|
||||
);
|
||||
proc.onData((data) => {
|
||||
if (!recording) return; // teardown frames ([server exited]) stay out
|
||||
const now = performance.now();
|
||||
const stripped = strip(data);
|
||||
if (!stripped) return; // timing folds into the next chunk's delay
|
||||
lines.push({ delayMs: lastChunkAt === null ? 0 : Math.round(now - lastChunkAt), data: stripped });
|
||||
lastChunkAt = now;
|
||||
});
|
||||
|
||||
// tmux session starts with a shell; launch codex in it so the strip pipeline
|
||||
// sees the same attach-then-launch order production uses.
|
||||
await sleep(700);
|
||||
proc.write(`exec codex\r`);
|
||||
|
||||
for (const step of steps) {
|
||||
await sleep(step.waitMs);
|
||||
if (step.keys) {
|
||||
lines.push({ keyAt: true, data: step.keys });
|
||||
proc.write(step.keys);
|
||||
}
|
||||
}
|
||||
|
||||
recording = false;
|
||||
try {
|
||||
execSync(`tmux -L ${sock} kill-server`, { stdio: 'ignore' });
|
||||
} catch {
|
||||
/* already gone */
|
||||
}
|
||||
proc.kill();
|
||||
await sleep(200);
|
||||
|
||||
const allBytes = lines.map((l) => l.data).join('');
|
||||
if (allBytes.includes(FAKE_KEY)) throw new Error(`fixture ${scenario} leaked the fake key; NOT writing`);
|
||||
if (allBytes.includes(lab)) throw new Error(`fixture ${scenario} leaked the lab path; NOT writing`);
|
||||
|
||||
mkdirSync(outDir, { recursive: true });
|
||||
const meta = { scenario, cols: COLS, rows: ROWS, codexVersion, recordedAt: new Date().toISOString() };
|
||||
const out = join(outDir, `${scenario}.jsonl`);
|
||||
writeFileSync(out, [JSON.stringify(meta), ...lines.map((l) => JSON.stringify(l))].join('\n') + '\n');
|
||||
rmSync(lab, { recursive: true, force: true });
|
||||
rmSync(workdir, { recursive: true, force: true });
|
||||
console.log(`${scenario}: ${lines.length} lines -> ${out}`);
|
||||
}
|
||||
|
||||
function sleep(ms) {
|
||||
return new Promise((r) => setTimeout(r, ms));
|
||||
}
|
||||
|
||||
const arg = process.argv[2];
|
||||
const outIdx = process.argv.indexOf('--out');
|
||||
const outDir =
|
||||
outIdx !== -1 ? process.argv[outIdx + 1] : join(ROOT, 'packages', 'xterm-zerolag-input', 'test', 'fixtures', 'codex');
|
||||
const wanted = arg === 'all' || !arg ? Object.keys(SCENARIOS) : [arg];
|
||||
for (const s of wanted) {
|
||||
await record(s, outDir);
|
||||
}
|
||||
Reference in New Issue
Block a user