The idea is that codex-exec exposes an Environment struct with services
on it. Each of those is a trait.
Depending on construction parameters passed to Environment they are
either backed by local or remote server but core doesn't see these
differences.
Add a representation of the agent graph. This is now used for:
* Cascade close agents (when I close a parent, it close the kids)
* Cascade resume (oposite)
Later, this will also be used for post-compaction stuffing of the
context
Direct fix for: https://github.com/openai/codex/issues/14458
1. Added SessionSource::Custom(String) and --session-source.
2. Enforced plugin and skill products by session_source.
3. Applied the same filtering to curated background refresh.
This PR adds a new `thread/shellCommand` app server API so clients can
implement `!` shell commands. These commands are executed within the
sandbox, and the command text and output are visible to the model.
The internal implementation mirrors the current TUI `!` behavior.
- persist shell command execution as `CommandExecution` thread items,
including source and formatted output metadata
- bridge live and replayed app-server command execution events back into
the existing `tui_app_server` exec rendering path
This PR also wires `tui_app_server` to submit `!` commands through the
new API.
## Description
Adding an extension to the spec that exposes the turn_id to hook
scripts. This is a codex-specific mechanic that allows connecting the
hook runs with particular turns
## Testing
hooks config / sample hooks to use. Extract this, rename codex ->
.codex, and place this into a repo or your home folder. It includes:
config.toml that enables hooks, hooks.json, and sample python hooks:
[codex.zip](https://github.com/user-attachments/files/26102671/codex.zip)
example run (note the turn_ids change between turns):
```
› hello
• Running SessionStart hook: lighting the observatory
SessionStart hook (completed)
warning: Hi, I'm a session start hook for wizard-tower (startup).
hook context: Startup context: A wimboltine stonpet is an exotic cuisine from hyperspace
• Running UserPromptSubmit hook: lighting the observatory lanterns
UserPromptSubmit hook (completed)
warning: wizard-tower UserPromptSubmit demo inspected: hello for turn: 019d036d-c7fa-72d2-b6fd-
78878bfe34e4
hook context: Wizard Tower UserPromptSubmit demo fired. For this reply only, include the exact
phrase 'observatory lanterns lit' near the end.
• Aloha! Grateful to be here and ready to build with you. Show me what you want to tackle in wizard-
tower, and we’ll surf the next wave together. observatory lanterns lit
• Running Stop hook: back to shore
Stop hook (completed)
warning: Wizard Tower Stop hook reviewed the completed reply (170 chars) for turn: 019d036d-c7fa-
72d2-b6fd-78878bfe34e4
› what's a stonpet?
• Running UserPromptSubmit hook: lighting the observatory lanterns
UserPromptSubmit hook (completed)
warning: wizard-tower UserPromptSubmit demo inspected: what's a stonpet? for turn: 019d036e-3164-
72c3-a170-98925564c4fc
hook context: Wizard Tower UserPromptSubmit demo fired. For this reply only, include the exact
phrase 'observatory lanterns lit' near the end.
• A stonpet isn’t a standard real-world word, brah. In our shared context here, a wimboltine stonpet
is an exotic cuisine from hyperspace, so “stonpet” sounds like the dish or food itself.
If you want, we can totally invent the lore for it next. observatory lanterns lit
• Running Stop hook: back to shore
Stop hook (completed)
warning: Wizard Tower Stop hook reviewed the completed reply (271 chars) for turn: 019d036e-3164-
72c3-a170-98925564c4fc
```
## Summary
- forward request-scoped task headers through MCP tool metadata lookups
and tool calls
- apply those headers to streamable HTTP initialize, tools/list, and
tools/call requests
- update affected rmcp/core tests for the new request_headers plumbing
## Testing
- cargo test -p codex-rmcp-client
- cargo test -p codex-core (fails on pre-existing unrelated error in
core/src/auth_env_telemetry.rs: missing websocket_connect_timeout_ms in
ModelProviderInfo initializer)
- just fix -p codex-rmcp-client
- just fix -p codex-core (hits the same unrelated auth_env_telemetry.rs
error)
- just fmt
---------
Co-authored-by: Codex <noreply@openai.com>
## Description
Dependent on:
- [responsesapi] https://github.com/openai/openai/pull/760991
- [codex-backend] https://github.com/openai/openai/pull/760985
`codex app-server -> codex-backend -> responsesapi` now reuses a
persistent websocket connection across many turns. This PR updates
tracing when using websockets so that each `response.create` websocket
request propagates the current tracing context, so we can get a holistic
end-to-end trace for each turn.
Tracing is propagated via special keys (`ws_request_header_traceparent`,
`ws_request_header_tracestate`) set in the `client_metadata` param in
Responses API.
Currently tracing on websockets is a bit broken because we only set
tracing context on ws connection time, so it's detached from a
`turn/start` request.
Summary
- delete the deprecated stdio transport plumbing from the exec server
stack
- add a basic `exec_server()` harness plus test utilities to start a
server, send requests, and await events
- refresh exec-server dependencies, configs, and documentation to
reflect the new flow
Testing
- Not run (not requested)
---------
Co-authored-by: starr-openai <starr@openai.com>
Co-authored-by: Codex <noreply@openai.com>
## TL;DR
Add `thread.run(...)` / `async thread.run(...)` convenience methods to
the Python SDK for the common case.
- add `RunInput = Input | str` and `RunResult` with `final_response`,
collected `items`, and optional `usage`
- keep `thread.turn(...)` strict and lower-level for streaming,
steering, interrupting, and raw generated `Turn` access
- update Python SDK docs, quickstart examples, and tests for the sync
and async convenience flows
## Validation
- `python3 -m pytest sdk/python/tests/test_public_api_signatures.py
sdk/python/tests/test_public_api_runtime_behavior.py`
- `python3 -m pytest
sdk/python/tests/test_real_app_server_integration.py -k
'thread_run_convenience or async_thread_run_convenience'` (skipped in
this environment)
---------
Co-authored-by: Codex <noreply@openai.com>
Stacked PR 1/3.
This is the initialize-only exec-server stub slice: binary/client
scaffolding and protocol docs, without exec/filesystem implementation.
---------
Co-authored-by: Codex <noreply@openai.com>
Resubmit https://github.com/openai/codex/pull/15020 with correct
content.
1. Use requirement-resolved config.features as the plugin gate.
2. Guard plugin/list, plugin/read, and related flows behind that gate.
3. Skip bad marketplace.json files instead of failing the whole list.
4. Simplify plugin state and caching.
# 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.
## Summary
This PR makes `thread/resume` reuse persisted thread model metadata when
the caller does not explicitly override it.
Changes:
- read persisted thread metadata from SQLite during `thread/resume`
- reuse persisted `model` and `model_reasoning_effort` as resume-time
defaults
- fetch persisted metadata once and reuse it later in the resume
response path
- keep thread summary loading on the existing rollout path, while
reusing persisted metadata when available
- document the resume fallback behavior in the app-server README
## Why
Before this change, resuming a thread without explicit overrides derived
`model` and `model_reasoning_effort` from current config, which could
drift from the thread’s last persisted values. That meant a resumed
thread could report and run with different model settings than the ones
it previously used.
## Behavior
Precedence on `thread/resume` is now:
1. explicit resume overrides
2. persisted SQLite metadata for the thread
3. normal config resolution for the resumed cwd
## Summary
- store a pre-rendered `feedback_log_body` in SQLite so `/feedback`
exports keep span prefixes and structured event fields
- render SQLite feedback exports with timestamps and level prefixes to
match the old in-memory feedback formatter, while preserving existing
trailing newlines
- count `feedback_log_body` in the SQLite retention budget so structured
or span-prefixed rows still prune correctly
- bound `/feedback` row loading in SQL with the retention estimate, then
apply exact whole-line truncation in Rust so uploads stay capped without
splitting lines
## Details
- add a `feedback_log_body` column to `logs` and backfill it from
`message` for existing rows
- capture span names plus formatted span and event fields at write time,
since SQLite does not retain enough structure to reconstruct the old
formatter later
- keep SQLite feedback queries scoped to the requested thread plus
same-process threadless rows
- restore a SQL-side cumulative `estimated_bytes` cap for feedback
export queries so over-retained partitions do not load every matching
row before truncation
- add focused formatting coverage for exported feedback lines and parity
coverage against `tracing_subscriber`
## Testing
- cargo test -p codex-state
- just fix -p codex-state
- just fmt
codex author: `codex resume 019ca1b0-0ecc-78b1-85eb-6befdd7e4f1f`
---------
Co-authored-by: Codex <noreply@openai.com>
- prefix realtime handoff output with the agent final message label for
both realtime v1 and v2
- update realtime websocket and core expectations to match
## Summary
- detect custom prompts in `$CODEX_HOME/prompts` during TUI startup
- show a deprecation notice only when prompts are present, with guidance
to use `$skill-creator`
- add TUI tests and snapshot coverage for present, missing, and empty
prompts directories
## Testing
- Manually tested
Cleanup image semantics in code mode.
`view_image` now returns `{image_url:string, details?: string}`
`image()` now allows both string parameter and `{image_url:string,
details?: string}`
Fix the CI job by updating it to use artifacts from a more recent
release (`0.115.0`) instead of the existing one (`0.74.0`).
This step in our CI job on PRs started failing today:
334164a6f7/.github/workflows/ci.yml (L33-L47)
I believe it's because this test verifies that the "package npm" script
works, but we want it to be fast and not wait for binaries to be built,
so it uses a GitHub workflow that's already done. Because it was using a
GitHub workflow associated with `0.74.0`, it seems likely that
workflow's history has been reaped, so we need to use a newer one.
