## Summary
Persist Stop-hook continuation prompts as `user` messages instead of
hidden `developer` messages + some requested integration tests
This is a followup to @pakrym 's comment in
https://github.com/openai/codex/pull/14532 to make sure stop-block
continuation prompts match training for turn loops
- Stop continuation now writes `<hook_prompt hook_run_id="...">stop
hook's user prompt<hook_prompt>`
- Introduces quick-xml dependency, though we already indirectly depended
on it anyway via syntect
- This PR only has about 500 lines of actual logic changes, the rest is
tests/schema
## Testing
Example run (with a sessionstart hook and 3 stop hooks) - this shows
context added by session start, then two stop hooks sending their own
additional prompts in a new turn. The model responds with a single
message addressing both. Then when that turn ends, the hooks detect that
they just ran using `stop_hook_active` and decide not to infinite loop
test files for this (unzip, move codex -> .codex):
[codex.zip](https://github.com/user-attachments/files/26075806/codex.zip)
```
› cats
• Running SessionStart hook: lighting the observatory
SessionStart hook (completed)
warning: Hi, I'm a session start hook for wizard-tower (startup).
hook context: A wimboltine stonpet is an exotic cuisine from hyperspace
• Cats are tiny zen wizards, my friend: equal parts nap, mystery, and chaos. If you want, we can talk
cat facts, cat breeds, cat names, or build something cat-themed in this repo.
• Running Stop hook: checking the tower wards
• Running Stop hook: sacking the guards
• Running Stop hook: hiring the guards
Stop hook (completed)
warning: Wizard Tower Stop hook reviewed the completed reply (177 chars).
Stop hook (blocked)
warning: Wizard Tower Stop hook continuing conversation
feedback: cook the stonpet
Stop hook (blocked)
warning: Wizard Tower Stop hook continuing conversation
feedback: eat the cooked stonpet
• Stonpet’s cooked, aloha style: flash-seared over a blue quasiflame, glazed with nebula salt, and
rested until the hyperspace juices settle.
Now we eat with gratitude, my friend. One mindful bite in, and the flavor is pure cosmic surf:
smoky, bright, and totally out of this dimension.
• Running Stop hook: checking the tower wards
• Running Stop hook: sacking the guards
• Running Stop hook: hiring the guards
Stop hook (completed)
warning: Wizard Tower Stop hook reviewed the completed reply (285 chars).
Stop hook (completed)
warning: Wizard Tower Stop hook saw a second pass and stayed calm to avoid a loop.
Stop hook (completed)
warning: Wizard Tower Stop hook saw a second pass and stayed calm to avoid a loop.
```
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.
## Problem
The app-server TUI (`tui_app_server`) lacked composer history support.
Pressing Up/Down to recall previous prompts hit a stub that logged a
warning and displayed "Not available in app-server TUI yet." New
submissions were silently dropped from the shared history file, so
nothing persisted for future sessions.
## Mental model
Codex maintains a single, append-only history file
(`$CODEX_HOME/history.jsonl`) shared across all TUI processes on the
same machine. The legacy (in-process) TUI already reads/writes this file
through `codex_core::message_history`. The app-server TUI delegates most
operations to a separate process over RPC, but history is intentionally
*not* an RPC concern — it's a client-local file.
This PR makes the app-server TUI access the same history file directly,
bypassing the app-server process entirely. The composer's Up/Down
navigation and submit-time persistence now follow the same code paths as
the legacy TUI, with the only difference being *where* the call is
dispatched (locally in `App`, rather than inside `CodexThread`).
The branch is rebuilt directly on top of `upstream/main`, so it keeps
the
existing app-server restore architecture intact.
`AppServerStartedThread`
still restores transcript history from the server `Thread` snapshot via
`thread_snapshot_events`; this PR only adds composer-history support.
## Non-goals
- Adding history support to the app-server protocol. History remains
client-local.
- Changing the on-disk format or location of `history.jsonl`.
- Surfacing history I/O errors to the user (failures are logged and
silently swallowed, matching the legacy TUI).
## Tradeoffs
| Decision | Why | Risk |
|----------|-----|------|
| Widen `message_history` from `pub(crate)` to `pub` | Avoids
duplicating file I/O logic; the module already has a clean, minimal API
surface. | Other workspace crates can now call these functions — the
contract is no longer crate-private. However, this is consistent with
recent precedent: `590cfa617` exposed `mention_syntax` for TUI
consumption, `752402c4f` exposed plugin APIs (`PluginsManager`), and
`14fcb6645`/`edacbf7b6` widened internal core APIs for other crates.
These were all narrow, intentional exposures of specific APIs — not
broad "make internals public" moves. `1af2a37ad` even went the other
direction, reducing broad re-exports to tighten boundaries. This change
follows the same pattern: a small, deliberate API surface (3 functions)
rather than a wholesale visibility change. |
| Intercept `AddToHistory` / `GetHistoryEntryRequest` in `App` before
RPC fallback | Keeps history ops out of the "unsupported op" error path
without changing app-server protocol. | This now routes through a single
`submit_thread_op` entry point, which is safer than the original
duplicated dispatch. The remaining risk is organizational: future
thread-op submission paths need to keep using that shared entry point. |
| `session_configured_from_thread_response` is now `async` | Needs
`await` on `history_metadata()` to populate real `history_log_id` /
`history_entry_count`. | Adds an async file-stat + full-file newline
scan to the session bootstrap path. The scan is bounded by
`history.max_bytes` and matches the legacy TUI's cost profile, but
startup latency still scales with file size. |
## Architecture
```
User presses Up User submits a prompt
│ │
▼ ▼
ChatComposerHistory ChatWidget::do_submit_turn
navigate_up() encode_history_mentions()
│ │
▼ ▼
AppEvent::CodexOp Op::AddToHistory { text }
(GetHistoryEntryRequest) │
│ ▼
▼ App::try_handle_local_history_op
App::try_handle_local_history_op message_history::append_entry()
spawn_blocking { │
message_history::lookup() ▼
} $CODEX_HOME/history.jsonl
│
▼
AppEvent::ThreadEvent
(GetHistoryEntryResponse)
│
▼
ChatComposerHistory::on_entry_response()
```
## Observability
- `tracing::warn` on `append_entry` failure (includes thread ID).
- `tracing::warn` on `spawn_blocking` lookup join error.
- `tracing::warn` from `message_history` internals on file-open, lock,
or parse failures.
## Tests
- `chat_composer_history::tests::navigation_with_async_fetch` — verifies
that Up emits `Op::GetHistoryEntryRequest` (was: checked for stub error
cell).
- `app::tests::history_lookup_response_is_routed_to_requesting_thread` —
verifies multi-thread composer recall routes the lookup result back to
the originating thread.
-
`app_server_session::tests::resume_response_relies_on_snapshot_replay_not_initial_messages`
— verifies app-server session restore still uses the upstream
thread-snapshot path.
-
`app_server_session::tests::session_configured_populates_history_metadata`
— verifies bootstrap sets nonzero `history_log_id` /
`history_entry_count` from the shared local history file.
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.
## Summary
If a subagent requests approval, and the user persists that approval to
the execpolicy, it should (by default) propagate. We'll need to rethink
this a bit in light of coming Permissions changes, though I think this
is closer to the end state that we'd want, which is that execpolicy
changes to one permissions profile should be synced across threads.
## Testing
- [x] Added integration test
---------
Co-authored-by: Codex <noreply@openai.com>
### Motivation
- Pinning the action to an immutable commit SHA reduces the risk of
arbitrary code execution in runners with repository access and secrets.
### Description
- Replaced `uses: mlugg/setup-zig@v2` with `uses:
mlugg/setup-zig@d1434d0886 # v2` in three
workflow files.
- Updated the following files: ` .github/workflows/rust-ci.yml`, `
.github/workflows/rust-release.yml`, and `
.github/workflows/shell-tool-mcp.yml` to reference the immutable SHA
while preserving the original `v2` intent in a trailing comment.
### Testing
- No automated tests were run because this is a workflow-only change and
does not affect repository source code, so CI validation will occur on
the next workflow execution.
------
[Codex
Task](https://chatgpt.com/codex/tasks/task_i_69763f570234832d9c67b1b66a27c78d)
- this allows blocking the user's prompts from executing, and also
prevents them from entering history
- handles the edge case where you can both prevent the user's prompt AND
add n amount of additionalContexts
- refactors some old code into common.rs where hooks overlap
functionality
- refactors additionalContext being previously added to user messages,
instead we use developer messages for them
- handles queued messages correctly
Sample hook for testing - if you write "[block-user-submit]" this hook
will stop the thread:
example run
```
› sup
• Running UserPromptSubmit hook: reading the observatory notes
UserPromptSubmit hook (completed)
warning: wizard-tower UserPromptSubmit demo inspected: sup
hook context: Wizard Tower UserPromptSubmit demo fired. For this reply only, include the exact
phrase 'observatory lanterns lit' exactly once near the end.
• Just riding the cosmic wave and ready to help, my friend. What are we building today? observatory
lanterns lit
› and [block-user-submit]
• Running UserPromptSubmit hook: reading the observatory notes
UserPromptSubmit hook (stopped)
warning: wizard-tower UserPromptSubmit demo blocked the prompt on purpose.
stop: Wizard Tower demo block: remove [block-user-submit] to continue.
```
.codex/config.toml
```
[features]
codex_hooks = true
```
.codex/hooks.json
```
{
"hooks": {
"UserPromptSubmit": [
{
"hooks": [
{
"type": "command",
"command": "/usr/bin/python3 .codex/hooks/user_prompt_submit_demo.py",
"timeoutSec": 10,
"statusMessage": "reading the observatory notes"
}
]
}
]
}
}
```
.codex/hooks/user_prompt_submit_demo.py
```
#!/usr/bin/env python3
import json
import sys
from pathlib import Path
def prompt_from_payload(payload: dict) -> str:
prompt = payload.get("prompt")
if isinstance(prompt, str) and prompt.strip():
return prompt.strip()
event = payload.get("event")
if isinstance(event, dict):
user_prompt = event.get("user_prompt")
if isinstance(user_prompt, str):
return user_prompt.strip()
return ""
def main() -> int:
payload = json.load(sys.stdin)
prompt = prompt_from_payload(payload)
cwd = Path(payload.get("cwd", ".")).name or "wizard-tower"
if "[block-user-submit]" in prompt:
print(
json.dumps(
{
"systemMessage": (
f"{cwd} UserPromptSubmit demo blocked the prompt on purpose."
),
"decision": "block",
"reason": (
"Wizard Tower demo block: remove [block-user-submit] to continue."
),
}
)
)
return 0
prompt_preview = prompt or "(empty prompt)"
if len(prompt_preview) > 80:
prompt_preview = f"{prompt_preview[:77]}..."
print(
json.dumps(
{
"systemMessage": (
f"{cwd} UserPromptSubmit demo inspected: {prompt_preview}"
),
"hookSpecificOutput": {
"hookEventName": "UserPromptSubmit",
"additionalContext": (
"Wizard Tower UserPromptSubmit demo fired. "
"For this reply only, include the exact phrase "
"'observatory lanterns lit' exactly once near the end."
),
},
}
)
)
return 0
if __name__ == "__main__":
raise SystemExit(main())
```
## Summary
- move `guardian_developer_instructions` from managed config into
workspace-managed `requirements.toml`
- have guardian continue using the override when present and otherwise
fall back to the bundled local guardian prompt
- keep the generalized prompt-quality improvements in the shared
guardian default prompt
- update requirements parsing, layering, schema, and tests for the new
source of truth
## Context
This replaces the earlier managed-config / MDM rollout plan.
The intended rollout path is workspace-managed requirements, including
cloud enterprise policies, rather than backend model metadata, Statsig,
or Jamf-managed config. That keeps the default/fallback behavior local
to `codex-rs` while allowing faster policy updates through the
enterprise requirements plane.
This is intentionally an admin-managed policy input, not a user
preference: the guardian prompt should come either from the bundled
`codex-rs` default or from enterprise-managed `requirements.toml`, and
normal user/project/session config should not override it.
## Updating The OpenAI Prompt
After this lands, the OpenAI-specific guardian prompt should be updated
through the workspace Policies UI at `/codex/settings/policies` rather
than through Jamf or codex-backend model metadata.
Operationally:
- open the workspace Policies editor as a Codex admin
- edit the default `requirements.toml` policy, or a higher-precedence
group-scoped override if we ever want different behavior for a subset of
users
- set `guardian_developer_instructions = """..."""` to the full
OpenAI-specific guardian prompt text
- save the policy; codex-backend stores the raw TOML and `codex-rs`
fetches the effective requirements file from `/wham/config/requirements`
When updating the OpenAI-specific prompt, keep it aligned with the
shared default guardian policy in `codex-rs` except for intentional
OpenAI-only additions.
## Testing
- `cargo check --tests -p codex-core -p codex-config -p
codex-cloud-requirements --message-format short`
- `cargo run -p codex-core --bin codex-write-config-schema`
- `cargo fmt`
- `git diff --check`
Co-authored-by: Codex <noreply@openai.com>
- close live realtime sessions on errors, ctrl-c, and active meter
removal
- centralize TUI realtime cleanup and avoid duplicate follow-up close
info
---------
Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Ahmed Ibrahim <219906144+aibrahim-oai@users.noreply.github.com>
## Summary
- support legacy `ReadOnlyAccess::Restricted` on Windows in the elevated
setup/runner backend
- keep the unelevated restricted-token backend on the legacy full-read
model only, and fail closed for restricted read-only policies there
- keep the legacy full-read Windows path unchanged while deriving
narrower read roots only for elevated restricted-read policies
- honor `include_platform_defaults` by adding backend-managed Windows
system roots only when requested, while always keeping helper roots and
the command `cwd` readable
- preserve `workspace-write` semantics by keeping writable roots
readable when restricted read access is in use in the elevated backend
- document the current Windows boundary: legacy `SandboxPolicy` is
supported on both backends, while richer split-only carveouts still fail
closed instead of running with weaker enforcement
## Testing
- `cargo test -p codex-windows-sandbox`
- `cargo check -p codex-windows-sandbox --tests --target
x86_64-pc-windows-msvc`
- `cargo clippy -p codex-windows-sandbox --tests --target
x86_64-pc-windows-msvc -- -D warnings`
- `cargo test -p codex-core windows_restricted_token_`
## Notes
- local `cargo test -p codex-windows-sandbox` on macOS only exercises
the non-Windows stubs; the Windows-targeted compile and clippy runs
provide the local signal, and GitHub Windows CI exercises the runtime
path
Adds an environment crate and environment + file system abstraction.
Environment is a combination of attributes and services specific to
environment the agent is connected to:
File system, process management, OS, default shell.
The goal is to move most of agent logic that assumes environment to work
through the environment abstraction.
- Add shared Product support to marketplace plugin policy and skill
policy (no enforced yet).
- Move marketplace installation/authentication under policy and model it
as MarketplacePluginPolicy.
- Rename plugin/marketplace local manifest types to separate raw serde
shapes from resolved in-memory models.
## TL;DR
WIP esp the examples
Thin the Python SDK public surface so the wrapper layer returns
canonical app-server generated models directly.
- keeps `Codex` / `AsyncCodex` / `Thread` / `Turn` and input helpers,
but removes alias-only type layers and custom result models
- `metadata` now returns `InitializeResponse` and `run()` returns the
generated app-server `Turn`
- updates docs, examples, notebook, and tests to use canonical generated
types and regenerates `v2_all.py` against current schema
- keeps the pinned runtime-package integration flow and real integration
coverage
## Validation
- `PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests`
- `GH_TOKEN="$(gh auth token)" RUN_REAL_CODEX_TESTS=1
PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests -rs`
---------
Co-authored-by: Codex <noreply@openai.com>
