Commit Graph
5 Commits
Author SHA1 Message Date
Curtis 'Fjord' HawthorneandGitHub a02342c9e1 Add js_repl kernel crash diagnostics (#11666)
## Summary

This PR improves `js_repl` crash diagnostics so kernel failures are
debuggable without weakening timeout/reset guarantees.

## What Changed

- Added bounded kernel stderr capture and truncation logic (line + byte
caps).
- Added structured kernel snapshots (`pid`, exit status, stderr tail)
for failure paths.
- Enriched model-visible kernel-failure errors with a structured
diagnostics payload:
  - `js_repl diagnostics: {...}`
  - Included only for likely kernel-failure write/EOF cases.
- Improved logging around kernel write failures, unexpected exits, and
kill/wait paths.
- Added/updated unit tests for:
  - UTF-8-safe truncation
  - stderr tail bounds
  - structured diagnostics shape/truncation
  - conditional diagnostics emission
  - timeout kill behavior
  - forced kernel-failure diagnostics

## Why

Before this, failures like broken pipe / unexpected kernel exit often
surfaced as generic errors with little context. This change preserves
existing behavior but adds actionable diagnostics while keeping output
bounded.

## Scope

- Code changes are limited to:
-
`/Users/fjord/code/codex-jsrepl-seq/codex-rs/core/src/tools/js_repl/mod.rs`

## Validation

- `cargo clippy -p codex-core --all-targets -- -D warnings`
- Targeted `codex-core` js_repl unit tests (including new
diagnostics/timeout coverage)
- Tried starting a long running js_repl command (sleep for 10 minutes),
verified error output was as expected after killing the node process.

#### [git stack](https://github.com/magus/git-stack-cli)
- 👉 `1` https://github.com/openai/codex/pull/11666
-  `2` https://github.com/openai/codex/pull/10673
-  `3` https://github.com/openai/codex/pull/10670
2026-02-13 11:57:11 -08:00
Curtis 'Fjord' HawthorneandGitHub 0dcfc59171 Add js_repl_tools_only model and routing restrictions (#10671)
# External (non-OpenAI) Pull Request Requirements

Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md

If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.

Include a link to a bug report or enhancement request.


#### [git stack](https://github.com/magus/git-stack-cli)
-  `1` https://github.com/openai/codex/pull/10674
-  `2` https://github.com/openai/codex/pull/10672
- 👉 `3` https://github.com/openai/codex/pull/10671
-  `4` https://github.com/openai/codex/pull/10673
-  `5` https://github.com/openai/codex/pull/10670
2026-02-12 15:41:05 -08:00
Curtis 'Fjord' HawthorneandGitHub 466be55abc Add js_repl host helpers and exec end events (#10672)
## Summary

This PR adds host-integrated helper APIs for `js_repl` and updates model
guidance so the agent can use them reliably.

### What’s included

- Add `codex.tool(name, args?)` in the JS kernel so `js_repl` can call
normal Codex tools.
- Keep persistent JS state and scratch-path helpers available:
  - `codex.state`
  - `codex.tmpDir`
- Wire `js_repl` tool calls through the standard tool router path.
- Add/align `js_repl` execution completion/end event behavior with
existing tool logging patterns.
- Update dynamic prompt injection (`project_doc`) to document:
  - how to call `codex.tool(...)`
  - raw output behavior
- image flow via `view_image` (`codex.tmpDir` +
`codex.tool("view_image", ...)`)
- stdio safety guidance (`console.log` / `codex.tool`, avoid direct
`process.std*`)

## Why

- Standardize JS-side tool usage on `codex.tool(...)`
- Make `js_repl` behavior more consistent with existing tool execution
and event/logging patterns.
- Give the model enough runtime guidance to use `js_repl` safely and
effectively.

## Testing

- Added/updated unit and runtime tests for:
  - `codex.tool` calls from `js_repl` (including shell/MCP paths)
  - image handoff flow via `view_image`
  - prompt-injection text for `js_repl` guidance
  - execution/end event behavior and related regression coverage




#### [git stack](https://github.com/magus/git-stack-cli)
-  `1` https://github.com/openai/codex/pull/10674
- 👉 `2` https://github.com/openai/codex/pull/10672
-  `3` https://github.com/openai/codex/pull/10671
-  `4` https://github.com/openai/codex/pull/10673
-  `5` https://github.com/openai/codex/pull/10670
2026-02-12 12:10:25 -08:00
Curtis 'Fjord' HawthorneandGitHub 42e22f3bde Add feature-gated freeform js_repl core runtime (#10674)
## Summary

This PR adds an **experimental, feature-gated `js_repl` core runtime**
so models can execute JavaScript in a persistent REPL context across
tool calls.

The implementation integrates with existing feature gating, tool
registration, prompt composition, config/schema docs, and tests.

## What changed

- Added new experimental feature flag: `features.js_repl`.
- Added freeform `js_repl` tool and companion `js_repl_reset` tool.
- Gated tool availability behind `Feature::JsRepl`.
- Added conditional prompt-section injection for JS REPL instructions
via marker-based prompt processing.
- Implemented JS REPL handlers, including freeform parsing and pragma
support (timeout/reset controls).
- Added runtime resolution order for Node:
  1. `CODEX_JS_REPL_NODE_PATH`
  2. `js_repl_node_path` in config
  3. `PATH`
- Added JS runtime assets/version files and updated docs/schema.

## Why

This enables richer agent workflows that require incremental JavaScript
execution with preserved state, while keeping rollout safe behind an
explicit feature flag.

## Testing

Coverage includes:

- Feature-flag gating behavior for tool exposure.
- Freeform parser/pragma handling edge cases.
- Runtime behavior (state persistence across calls and top-level `await`
support).

## Usage

```toml
[features]
js_repl = true
```

Optional runtime override:

- `CODEX_JS_REPL_NODE_PATH`, or
- `js_repl_node_path` in config.

#### [git stack](https://github.com/magus/git-stack-cli)
- 👉 `1` https://github.com/openai/codex/pull/10674
-  `2` https://github.com/openai/codex/pull/10672
-  `3` https://github.com/openai/codex/pull/10671
-  `4` https://github.com/openai/codex/pull/10673
-  `5` https://github.com/openai/codex/pull/10670
2026-02-11 12:05:02 -08:00
Curtis 'Fjord' HawthorneandGitHub 5f8776d34d Allow global exec flags after resume and fix CI codex build/timeout (#8440)
**Motivation**
- Bring `codex exec resume` to parity with top‑level flags so global
options (git check bypass, json, model, sandbox toggles) work after the
subcommand, including when outside a git repo.

**Description**
- Exec CLI: mark `--skip-git-repo-check`, `--json`, `--model`,
`--full-auto`, and `--dangerously-bypass-approvals-and-sandbox` as
global so they’re accepted after `resume`.
- Tests: add `exec_resume_accepts_global_flags_after_subcommand` to
verify those flags work when passed after `resume`.

**Testing**
- `just fmt`
- `cargo test -p codex-exec` (pass; ran with elevated perms to allow
network/port binds)
- Manual: exercised `codex exec resume` with global flags after the
subcommand to confirm behavior.
2026-01-05 22:12:09 +00:00