## Summary
Instead of always adding inner function call outputs to the model
context, let js code decide which ones to return.
- Stop auto-hoisting nested tool outputs from `codex.tool(...)` into the
outer `js_repl` function output.
- Keep `codex.tool(...)` return values unchanged as structured JS
objects.
- Add `codex.emitImage(...)` as the explicit path for attaching an image
to the outer `js_repl` function output.
- Support emitting from a direct image URL, a single `input_image` item,
an explicit `{ bytes, mimeType }` object, or a raw tool response object
containing exactly one image.
- Preserve existing `view_image` original-resolution behavior when JS
emits the raw `view_image` tool result.
- Suppress the special `ViewImageToolCall` event for `js_repl`-sourced
`view_image` calls so nested inspection stays side-effect free until JS
explicitly emits.
- Update the `js_repl` docs and generated project instructions with both
recommended patterns:
- `await codex.emitImage(codex.tool("view_image", { path }))`
- `await codex.emitImage({ bytes: await page.screenshot({ type: "jpeg",
quality: 85 }), mimeType: "image/jpeg" })`
#### [git stack](https://github.com/magus/git-stack-cli)
- ✅ `1` https://github.com/openai/codex/pull/13050
- 👉 `2` https://github.com/openai/codex/pull/13331
- ⏳ `3` https://github.com/openai/codex/pull/13049
## Summary
- add tracing-based diagnostics for nested `codex.tool(...)` calls made
from `js_repl`
- emit a bounded, sanitized summary at `info!`
- emit the exact raw serialized response object or error string seen by
JavaScript at `trace!`
- document how to enable these logs and where to find them, especially
for `codex app-server`
## Why
Nested `codex.tool(...)` calls inside `js_repl` are a debugging
boundary: JavaScript sees the tool result, but that result is otherwise
hard to inspect from outside the kernel.
This change adds explicit tracing for that path using the repo’s normal
observability pattern:
- `info` for compact summaries
- `trace` for exact raw payloads when deep debugging is needed
## What changed
- `js_repl` now summarizes nested tool-call results across the response
shapes it can receive:
- message content
- function-call outputs
- custom tool outputs
- MCP tool results and MCP error results
- direct error strings
- each nested `codex.tool(...)` completion logs:
- `exec_id`
- `tool_call_id`
- `tool_name`
- `ok`
- a bounded summary struct describing the payload shape
- at `trace`, the same path also logs the exact serialized response
object or error string that JavaScript received
- docs now include concrete logging examples for `codex app-server`
- unit coverage was added for multimodal function output summaries and
error summaries
## How to use it
### Summary-only logging
Set:
```sh
RUST_LOG=codex_core::tools::js_repl=info
```
For `codex app-server`, tracing output is written to the server process
`stderr`.
Example:
```sh
RUST_LOG=codex_core::tools::js_repl=info \
LOG_FORMAT=json \
codex app-server \
2> /tmp/codex-app-server.log
```
This emits bounded summary lines for nested `codex.tool(...)` calls.
### Full raw debugging
Set:
```sh
RUST_LOG=codex_core::tools::js_repl=trace
```
Example:
```sh
RUST_LOG=codex_core::tools::js_repl=trace \
LOG_FORMAT=json \
codex app-server \
2> /tmp/codex-app-server.log
```
At `trace`, you get:
- the same `info` summary line
- a `trace` line with the exact serialized response object seen by
JavaScript
- or the exact error string if the nested tool call failed
### Where the logs go
For `codex app-server`, these logs go to process `stderr`, so redirect
or capture `stderr` to inspect them.
Example:
```sh
RUST_LOG=codex_core::tools::js_repl=trace \
LOG_FORMAT=json \
/Users/fjord/code/codex/codex-rs/target/debug/codex app-server \
2> /tmp/codex-app-server.log
```
Then inspect:
```sh
rg "js_repl nested tool call" /tmp/codex-app-server.log
```
Without an explicit `RUST_LOG` override, these `js_repl` nested
tool-call logs are typically not visible.
# External (non-OpenAI) Pull Request Requirements
In `js_repl` mode, module resolution currently starts from
`js_repl_kernel.js`, which is written to a per-kernel temp dir. This
effectively means that bare imports will not resolve.
This PR adds a new config option, `js_repl_node_module_dirs`, which is a
list of dirs that are used (in order) to resolve a bare import. If none
of those work, the current working directory of the thread is used.
For example:
```toml
js_repl_node_module_dirs = [
"/path/to/node_modules/",
"/other/path/to/node_modules/",
]
```
## 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
Curtis 'Fjord' Hawthorne ·
aaronl-openai ·