## Why
Start moving towards app-server tests defaulting to running against
remote & foreign OS executors. To do so we need a point of indirection
similar to core integration tests' `build_with_auto_env`, but with the
flexibility of letting tests control environment registration if they
need to.
## What
This adds:
- `TestAppServer::new_with_auto_env()` for constructing an app server
with a default environment defined by the test runner (e.g. bazel)
- `TestAppServer::auto_env_params()` for tests to easily acquire turn
env params tailored to the automatic environment
- `TestAppServer::send_thread_start_request_with_auto_env()` to make it
easy for tests to start a thread using the automatic environment
The above methods all fail if the test calling them has set up an
environment where the automatic environment configuration conflicts with
test-created state.
## Validation
Adds a couple of basic smoke tests to the app-server test suite.
Follow-ups will migrate more tests to use it.
## Why
The `ItemIds` path fills in missing IDs before response items are
persisted and emitted as raw item events. `ResponseItem::AgentMessage`
is part of that same response-item stream, but it was skipped by the
missing-ID repair path, leaving agent messages without stable item IDs
while messages and tool items received generated IDs.
Agent messages recorded through `InterAgentCommunication` also need the
generated ID to survive rollout persistence and resume. Otherwise
clients can observe an `amsg_` ID for the live raw response item, then
see that same persisted agent message lose its item ID after restart.
## What changed
- Assign missing `ResponseItem::AgentMessage` IDs with the `amsg_`
prefix.
- Persist the generated item ID on `InterAgentCommunication` and replay
it back into the reconstructed `ResponseItem::AgentMessage` on resume.
- Keep the persisted ID out of the model-visible inter-agent message
envelope.
- Keep `CompactionTrigger` and `Other` skipped because they do not get
generated item IDs.
- Update session/protocol tests for agent-message ID assignment and
resume preservation.
## Manual Testing
Run the local dev build using `just c --enable item_ids` to ensure this
code is exercised:
https://github.com/openai/codex/blob/322e33512b2d38d38d705e2ef692a8aca50decac/codex-rs/core/src/session/mod.rs#L2713-L2715
In the `.jsonl` file, I saw entries like:
```json
{
"timestamp": "2026-06-24T00:44:03.098Z",
"type": "inter_agent_communication",
"payload": {
"id": "amsg_019ef715-849a-7a50-becc-ce63c6a9c994",
```
## Test plan
- `just test -p codex-core
record_inter_agent_communication_preserves_item_id_in_rollout_and_resume`
- `just test -p codex-core
record_inter_agent_communication_sets_turn_id_in_rollout_and_resume`
- `just test -p codex-protocol
inter_agent_communication_response_input_item_preserves_commentary_phase`
## Why
With `DeferredExecutor`, a sampling request can begin while an
environment is still starting. The model can see that pending state, but
needs a way to wait for the environment within the same turn before
continuing.
Environment startup is owned by Core, so the wait tool should use the
same request-frozen `StepContext` that advertised the starting
environment. This keeps tool registration and execution tied to the
exact startup operation the model saw, even if live thread state later
changes.
Supersedes #29735.
## What
- register `wait_for_environment` when the current `StepContext`
contains starting environments
- wait on the selected `StartingTurnEnvironment` shared resolution and
return a bounded ready or failed result
- rebuild the next request normally, removing the wait tool and exposing
ready environment tools, or reporting the environment as unavailable
after failure
## Testing
- `just test -p codex-core deferred_executor_`
- verifies the wait tool is replaced by environment-backed tools after
startup
- verifies startup failure removes both the wait tool and unavailable
environment tools while notifying the model
## Why
Work(TPP) threads can be launched from the Desktop app, but if they all
keep the Desktop app's default originator then downstream attribution
cannot distinguish local Work launches from cloud-backed Work launches.
`thread/start.serviceName` already carries that launch signal, while
`SessionMeta.originator` is the durable thread-level value that survives
resume and fork.
This change converts the Desktop Work service names into an effective
originator at thread creation time, persists that originator with the
thread, and keeps using it for later model requests and memory writes.
## What changed
- Map `CODEX_WORK_LOCAL` and `CODEX_WORK_CLOUD` service names to
per-thread originators, while preserving
`CODEX_INTERNAL_ORIGINATOR_OVERRIDE` as the highest-precedence override.
- Persist the effective originator in `SessionMeta.originator`, read it
back on resume/fork, and inherit the parent originator for subagent
spawns when there is no persisted session metadata.
- Handle truncated `SpawnAgentForkMode::LastNTurns` forks by falling
back to the live parent originator when the forked history no longer
includes `SessionMeta`.
- Thread the per-thread originator through Responses headers,
websocket/compaction request paths, thread-store creation, rollout
metadata, and memory stage-one telemetry.
## Verification
- `just test -p codex-core
agent::control::tests::spawn_thread_subagent_inherits_parent_originator_without_fork
agent::control::tests::spawn_thread_subagent_fork_last_n_turns_inherits_parent_originator_without_session_meta
thread_manager::tests::originator_override_precedes_service_name_remapping`
- `just test -p codex-core
agent::control::tests::resume_thread_subagent_restores_stored_metadata_and_effective_multi_agent_mode`
- `just test -p codex-memories-write`
- `just fix -p codex-core -p codex-memories-write`
- `git diff --check`
## Why
When `Feature::TokenBudget` is enabled, compaction should behave like
`new_context`: start a fresh context window with the standard injected
context, without asking the server to summarize old history and without
carrying prior user or assistant messages into the next model request.
This is still a compaction operation from the client lifecycle
perspective. Manual `/compact` and auto-compaction should keep the same
observable side effects that clients and hooks expect, including compact
hooks and `TurnItem::ContextCompaction`.
## What changed
- Added `compact_token_budget` to run token-budget manual and inline
auto-compaction through a shared compaction lifecycle.
- Split pending `new_context` requests from forced context-window
startup: `take_new_context_window_request()` consumes pending requests,
and `start_new_context_window()` installs a fresh context window.
- Routed token-budget manual `/compact` and inline auto-compaction to
install a fresh context window locally instead of calling server/local
summarization.
- Preserved compact lifecycle side effects for token-budget compaction
by running pre/post compact hooks and emitting `ContextCompaction` item
start/completion events.
- Updated token-budget tests to assert fresh window IDs, absence of
server-side compaction calls, dropped prior transcript messages/tool
output after reset, and compact hook/item lifecycle behavior.
## Testing
- `just test -p codex-core
token_budget_context_uses_new_window_after_compaction`
- `just test -p codex-core token_budget_compaction_runs_compact_hooks`
- `just test -p codex-core
token_budget_mid_turn_auto_compaction_resets_before_active_follow_up`
---------
Co-authored-by: pakrym-oai <pakrym@openai.com>
## Summary
- rename the rollout-budget exhaustion error from
`RolloutBudgetExceeded` to `SessionBudgetExceeded`
- expose the matching app-server v2 wire value as
`sessionBudgetExceeded`
- regenerate JSON/TypeScript schema fixtures and update the app-server
docs and focused tests
This is a naming-only follow-up to #29715 based on [Pavel's review
suggestion](https://github.com/openai/codex/pull/29715#discussion_r3463183480).
Runtime behavior is unchanged.
## Tests
- `just test -p codex-core rollout_budget`
- `just test -p codex-app-server-protocol`
- `just fmt`
- `just write-app-server-schema`
## Why
With `model_auto_compact_token_limit_scope = "body_after_prefix"`, the
persistent prefix should not count against the active body window.
`get_context_remaining` and the token-budget reminder should report the
same usable body-after-prefix window that auto-compaction uses, rather
than the total token count since the session began.
This is stacked on #29664 so the mechanical move from `turn.rs` is
isolated from the behavior fix.
## What
- Extends `ContextWindowTokenStatus` with `context_remaining_tokens`.
- Updates `get_context_remaining` to use the shared context-window
accounting.
- Adds integration coverage for body-after-prefix reminder timing and
`get_context_remaining` output.
## Testing
- `just test -p codex-core body_after_prefix_window`
- `just test -p codex-core auto_compact_body_after_prefix`
- `just fix -p codex-core`
## Why
This PR keeps the mechanical helper extraction separate from the
behavior change in #29665. The follow-up needs the token-window
accounting from `turn.rs` in another call path, but reviewing that is
much easier when the helper extraction is separate from the semantic
change.
## What
- Adds `session/context_window.rs` with `ContextWindowTokenStatus`.
- Moves the existing auto-compaction token-status calculation out of
`session/turn.rs`.
- Replaces the duplicated inline remaining-token calculation in
`turn.rs` with `tokens_until_compaction()`.
This PR is intended to be behavior-preserving. The
`get_context_remaining` behavior change is stacked separately in #29665.
## Testing
- `just test -p codex-core auto_compact_body_after_prefix`
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/29664).
* #29665
* __->__ #29664
## Summary
- surface shared rollout-budget exhaustion as
`CodexErr::RolloutBudgetExceeded` instead of a generic interrupted turn
- map it through the existing `CodexErrorInfo` and app-server v2
`codexErrorInfo` path
- keep local compaction from retrying after the shared rollout budget is
exhausted
This gives app-server clients a stable `rolloutBudgetExceeded` error
they can classify without guessing from `status="interrupted"`.
## Tests
- `just test -p codex-core rollout_budget`
## Why
Selected capability roots belong to the executor filesystem, not the
app-server host. Converting their path strings into the host's native
`Path` breaks whenever the two machines use different path conventions,
such as a Windows executor behind a Unix app-server.
This PR establishes `PathUri` as the selected-plugin boundary so the
executor remains authoritative for its paths.
## What changed
- Require `selectedCapabilityRoots[].location.path` to be a canonical
`file:` URI and deserialize it directly as `PathUri`; native path
strings are rejected.
- Update the app-server schema, generated TypeScript, examples, and
request coverage for the URI contract.
- Keep selected roots, resolved plugin locations, manifest paths, and
manifest resources as `PathUri`.
- Inspect and read plugin roots and manifests only through the selected
environment's `ExecutorFileSystem`.
- Parse executor manifests with the shared URI-native parser from #29620
instead of projecting them onto the host filesystem.
- Enforce resource containment lexically and preserve the root URI's
POSIX or Windows path convention.
- Cover foreign Windows plugin roots and URI-native manifest resources.
```text
thread/start
selectedCapabilityRoots[].location.path = "file:///C:/plugins/demo"
| PathUri
v
ExecutorFileSystem
|
+--> plugin.json
+--> manifest resources
```
This PR stops at the shared selected-plugin representation. The next two
PRs remove the remaining host-path projections in the skill and MCP
consumers.
## Stack
1. #29614 — add lexical `PathUri` containment.
2. #29620 — share URI-native manifest path resolution.
3. **This PR** — keep selected plugin roots and resources URI-native.
4. #29626 — load executor skills without host path conversion.
5. #29628 — resolve executor MCP working directories without host path
conversion.
## Why
PR #29494 made context-window IDs visible to the model by wrapping the
token-budget window payload in `<context_window>`, but rollout JSONL
consumers still could not see the initial window identity by tailing the
session file. Compacted rollout items carry window IDs only after
compaction has happened, so a session with no compaction had no durable
JSONL record for window 0.
This change gives tailing consumers a stable initial-window record at
session creation time.
## What Changed
- Added `session_meta.context_window.window_id` for the initial
context-window identity.
- `CreateThreadParams` now requires `initial_window_id: String`, so
thread-store callers cannot accidentally create new threads without
window-0 metadata.
- Live thread creation derives the persisted initial window ID from the
same `AutoCompactWindowIds` used to initialize `SessionState`, keeping
runtime state and JSONL metadata aligned.
- Rollout reconstruction uses `session_meta.context_window.window_id` as
the initial-window fallback and derives `window_number = 0`,
`first_window_id = window_id`, and `previous_window_id = None`
internally.
- Fork reconstruction intentionally uses the same rollout reconstruction
path; consumers that need to distinguish copied initial-window metadata
can use the rollout `thread_id`.
- Legacy compactions without `window_number` still use compaction-count
fallback accounting instead of being reset to window 0 by the
initial-window fallback.
- Compacted rollout metadata still takes precedence once compaction
records exist, preserving the richer chain fields there.
## JSONL Shape
Real rollout JSONL is one object per line. This example is expanded for
readability, but shows the new initial `session_meta.context_window`
record followed by the existing compacted rollout item shape that also
carries window IDs:
```jsonl
{
"timestamp": "2026-06-22T12:00:00.000Z",
"type": "session_meta",
"payload": {
"session_id": "<THREAD_ID>",
"id": "<THREAD_ID>",
"timestamp": "2026-06-22T12:00:00.000Z",
"cwd": "/repo",
"originator": "codex",
"cli_version": "0.0.0",
"source": "cli",
"model_provider": "<MODEL_PROVIDER>",
"context_window": {
"window_id": "<INITIAL_WINDOW_ID>"
}
}
}
...
{
"timestamp": "2026-06-22T12:34:56.000Z",
"type": "compacted",
"payload": {
"message": "<COMPACTION_SUMMARY>",
"replacement_history": [
"..."
],
"window_number": 1,
"first_window_id": "<INITIAL_WINDOW_ID>",
"previous_window_id": "<INITIAL_WINDOW_ID>",
"window_id": "<NEXT_WINDOW_ID>"
}
}
```
The nested `context_window` object is intentional: it gives rollout
consumers a stable namespace for context-window metadata while only
writing the non-derivable initial `window_id`. For the initial window,
`window_number`, `first_window_id`, and `previous_window_id` are derived
internally instead of being written to the rollout.
## Verification
- `just test -p codex-protocol`
- `just test -p codex-rollout
recorder_materializes_on_flush_with_pending_items`
- `just test -p codex-core reconstruct_history`
- `just test -p codex-core
record_initial_history_reconstructs_forked_transcript`
- `just test -p codex-thread-store`
- `just test -p codex-state`
- `just test -p codex-app-server
thread_read_returns_summary_without_turns`
- `just test -p codex-rollout persistence_metrics`
## Why
Use a clearer name for what happens when this helper sets up a test
environment.
## What
- Rename the builder and its harness wrapper to use `auto_env` instead
of `remote_env` because the helper will set up a local environment if
configured by the build system.
## Why
Core tests should branch on the executor's operating system, not on
runner details such as Docker or Wine. This keeps platform behavior
stable as new test backends are added and reserves Wine-specific skips
for actual runner debt.
## What
- Add `TestTargetOs` and target/host-aware skip helpers while keeping
`TestEnvironment` internal.
- Replace topology enum access with remote predicates and a narrow
Docker accessor.
- Migrate OS-semantic Wine skips, preserve runner-specific gaps, and
document the skip taxonomy.
## Validation
- `just test -p core_test_support`
- `just test -p codex-core
remote_test_env_can_connect_and_use_filesystem`
- `bazel test //codex-rs/core:core-all-wine-exec-test
--test_output=errors` reached test execution; unrelated existing
view-image, path, and timing failures remain.
- `just test -p codex-core` and `just test` reached broad test
execution; this checkout has unrelated helper, sandbox, and timing
failures.
Mechanical rename of CodeModeService => InProcessCodeModeSession
This already implements a CodeModeSession as its prime interface to
Core. The name was vestigial _and_ confusing af when embedded inside
core::tools::code_mode::CodeModeService
## Why
auto review reviews Codex App tool calls using connector metadata such
as the app ID, name, and description. That metadata does not identify
the account behind the OAuth connection.
For Google Drive, this means auto review cannot distinguish a Drive
connection authenticated as `user@email.com` from a personal Drive
account. Uploading work data can therefore look like a transfer to a
personal destination even though the connector service already knows the
authenticated account email.
## What changed
- Read `_meta._codex_apps.connected_account_email` while resolving
approval metadata for built-in Codex App tools.
- Include the connected account email in the structured MCP tool action
sent to auto review.
- Trim empty values and omit the field when the connector link has no
account email.
- Update existing auto review request constructors and add coverage for
request construction and JSON serialization.
## Security
Only metadata from the trusted built-in `codex_apps` MCP server is
accepted. Custom MCP servers cannot inject a connected account email
into auto review reviews; the new regression test verifies that spoofed
metadata is ignored.
The email is used only in auto review's private review request. This
change does not add it to model-visible tool descriptions, app-server
approval events, or auto review assessment/review analytics.
[Codex Thread
019edc37-5345-7272-92c9-bf5494cf3819](https://codex-thread-link.openai.chatgpt-team.site/thread/019edc37-5345-7272-92c9-bf5494cf3819)
## Summary
- count MCP `CallToolResult.isError` responses as failed calls instead
of successful transport-level calls
- add `codex.mcp.call.error` with bounded `error_type` and trusted
plugin-service `error_code` dimensions
- record the same error classification on MCP tool-call spans while
keeping untrusted server error text out of metric labels
## Scope
- no changes to MCP routing, retries, tool behavior, configuration, or
public APIs
- request failures remain grouped as `mcp_request`; separating
connection, timeout, protocol, and JSON-RPC failures requires preserving
typed errors through the existing flattened error boundary
## Testing
- `just test -p codex-core 'mcp_tool_call::tests::'` (75 passed)
- `just fix -p codex-core`
- `just fmt`
- `just test -p codex-core` (2,676 passed; 80 unrelated environment
failures from missing test binaries, sandbox signals, and read-only
paths)
## Why
With deferred executors, an environment can become ready between two
sampling requests in the same turn. The model-visible environment
update, advertised tools, and eventual tool execution must all describe
the same request-time view.
Otherwise, a request built while only environment B is ready can
advertise a tool without an `environment_id`; if higher-priority
environment A becomes ready before execution, that call could silently
run in A instead.
This PR is stacked on #29527.
## Design
`run_turn` captures one `Arc<StepContext>` at each sampling-request
boundary. That step owns the request's `TurnContext` and environment
snapshot.
- World-state environment updates and tool planning borrow that same
step.
- `ToolCallRuntime` retains the `Arc` while asynchronous tool calls
execute.
- `ToolInvocation` carries the step to handlers; its temporary `turn`
compatibility field is derived from the same object.
- `ToolRouter` does not retain `StepContext`; it only uses it while
constructing the request's tool set.
- With `DeferredExecutor` disabled, step capture keeps using the
environments frozen at turn start.
Simply: every sampling request gets one consistent picture of its
environments, from what the model sees through where its tool calls run.
## What changed
- Build environment-dependent tool specs from the current request's
`StepContext`.
- Use that same step for unified exec, legacy shell, `apply_patch`,
`view_image`, and `request_permissions` execution.
- Hide environment-backed tools, including `request_permissions`, while
no environment is attached.
- Resolve legacy shell paths and metadata from the selected step
environment instead of the stale turn-start environment.
- Capture explicit steps at non-turn-loop boundaries such as compaction,
prompt debug, and startup prewarm.
- Reconcile prompt-debug history from the same step used to build its
tools.
## Follow-up
- Bind yielded code-mode cells to the tool runtime that created them, so
nested calls made after yielding continue to use the originating
request's `StepContext`.
## Test plan
- `just test -p codex-core
deferred_executor_updates_context_and_tools_after_startup`
- `just test -p codex-core
environment_count_controls_environment_backed_tools`
- `just test -p codex-core
build_prompt_input_includes_context_and_user_message`
## Why
view_image needs to support foreign OS remote executors.
## What
- resolve image paths against the selected environment as `PathUri` and
read them through that environment's filesystem
- keep app-server's public path field wire-compatible as
`LegacyAppPathString`, with purpose-specific UI rendering
- cover relative and absolute target-native paths in the core
integration test and run the full `view_image` suite under wine-exec
without skips
## Summary
- allow the native Responses API `image_generation` tool when the active
provider carries CCA's non-empty `x-openai-actor-authorization` header
- preserve the Codex-managed ChatGPT auth path, scoped to providers that
actually require OpenAI auth
- keep generic custom providers excluded, including when unrelated
ChatGPT credentials are cached
- retain the existing feature, provider-capability, and
image-input-modality gates
## Why
CCA authenticates its inference requests through the active provider's
`x-openai-actor-authorization` and `ChatGPT-Account-ID` headers, so it
does not have a Codex-managed login session. The previous gate therefore
hid the native hosted image-generation tool despite an authenticated
codex-backend path.
This change is intentionally limited to the native hosted tool. It adds
no extension, MCP, plugin-service, session-source, token plumbing, or
new provider configuration surface.
## Tests
- `cargo test -p codex-core
hosted_tools_follow_provider_auth_model_and_config_gates`
- `cargo fmt --all -- --check`
- `git diff --check origin/main`
## Why
Managed network configures commands to use local HTTP and SOCKS proxies.
For commands delegated to the exec server, the proxy environment and the
sandbox policy were prepared separately. On macOS, that meant a command
could receive `HTTPS_PROXY=http://127.0.0.1:43123` while Seatbelt still
denied access to port `43123`.
## What changed
`NetworkProxy` now prepares the command environment and sandbox context
together from the same runtime snapshot:
```text
Prepared managed network
├── command environment: HTTPS_PROXY=http://127.0.0.1:43123
└── sandbox context: allow outbound to 127.0.0.1:43123
```
That context travels with remote exec requests. The exec server
preserves the managed proxy and CA environment, and macOS Seatbelt
allows only the prepared loopback proxy ports without enabling broad
network access or local binding.
The protocol field is optional and the existing enforcement flag remains
in place, preserving compatibility with callers that do not send the new
context.
## Why
Follow-up to #29249 and its [compaction review
thread](https://github.com/openai/codex/pull/29249#discussion_r3455055101).
During a turn, environment readiness can change between sampling
requests. Inline compaction must render the same model-visible
`WorldState` used by the request it follows. Rebuilding that state
during compaction can observe a newer environment, make replacement
history disagree with what the model saw, and suppress the next
environment update.
## What changed
- Make `run_turn` own the current `Arc<WorldState>` and replace it only
between sampling requests.
- Build each state from an explicitly chosen environment snapshot, diff
deferred-executor steps against the turn-owned state, and retain the
latest state in `ContextManager` only for cross-turn and resume
tracking.
- Pass the exact turn-owned state into inline compaction and explicit
new-context-window replacement.
- Carry that state with
`InitialContextInjection::BeforeLastUserMessage`, so replacement context
and its stored baseline cannot come from different snapshots.
- Remove obsolete state-recapture helpers and ambiguous TurnContext-only
WorldState builders.
- Add an integration test that moves an environment from starting to
ready during a paused turn, triggers compaction, and verifies the next
request receives the readiness update exactly once.
## Test plan
- `just test -p codex-core
deferred_executor_compaction_preserves_then_updates_environment_once`
- `just test -p codex-core process_compacted_history`
- `just test -p codex-core mid_turn_continuation_compaction`
- `just test -p codex-core build_initial_context`
- `just test -p codex-core
ignores_session_prefix_messages_when_truncating`
## Summary
MCP refresh replaced the published connection manager without shutting
down the manager it superseded. If another task retained that old
manager, its stdio MCP processes stayed alive and accumulated across
refreshes.
Atomically swap in the refreshed manager, then explicitly shut down the
exact manager returned by the swap. Add a process-level regression test
that retains the old manager during refresh and verifies its stdio
process exits while the replacement remains available.
## Context
Explicit cleanup was lost when manager publication moved to `ArcSwap`.
Dropping the old manager is not a reliable shutdown boundary because
active callers can retain its `Arc` and underlying client process
handles.
## Summary
- rename `reminder_interval_model_requests` to
`reminder_interval_seconds`
- read the configured time provider before every model request and
inject a reminder only after the configured number of seconds has
elapsed
- preserve immediate first delivery and forced delivery after compaction
changes the context window
## Tests
- `just test -p codex-core current_time_reminder`
## Summary
Resuming a persisted thread currently deep-clones its complete rollout
history several times. `InitialHistory` is retained for the app-server
response, copied into thread persistence, and copied again by read-only
accessors. These copies scale with the complete rollout rather than the
bounded model context and add measurable latency for large sessions.
This change stores resumed rollout history in `Arc<Vec<RolloutItem>>`.
Rollout loading wraps the parsed vector once, while app-server response
construction, session initialization, and thread persistence share it
through inexpensive `Arc` clones. Read-only history access now returns a
borrowed slice, and fork paths use `Arc::unwrap_or_clone` where they
genuinely need mutable ownership. Rollout reconstruction also consumes
its temporary context instead of cloning the reconstructed model
history.
The serialized representation remains unchanged. In an artificial 123 MB
rollout benchmark, sharing resumed history reduced cold resume latency
by roughly 9–10%. The affected crates compile with their test targets,
all 80 thread-store tests pass, and the Bazel dependency lock remains
valid.
## Summary
Multi-agent v2 tools now use the fixed `collaboration` namespace when
namespace tools are available. This keeps the model-visible hint and the
actual tool surface aligned around `functions.collaboration.*`, without
exposing an unshipped namespace knob to users.
The PR also removes the old `features.multi_agent_v2.tool_namespace`
config/schema surface, updates the MAv2 test fixtures for namespaced
calls, and fixes stale `TurnContext.features` references that were
breaking `codex-core` builds.
## Changes
- Expose MAv2 tools under `collaboration` instead of relying on a
configurable namespace.
- Remove `tool_namespace` from MAv2 TOML config, resolved config,
validation, schema, and tests.
- Update tool-planning and integration fixtures to assert or emit
namespaced MAv2 tool calls.
- Read feature state through `TurnContext.config.features` in the
multi-agent mode context paths.
## Testing
- `just write-config-schema`
- `just test -p codex-features`
## Summary
- Require the reserved Codex Apps MCP server name to be present in the
connection manager before treating it as host-owned.
- Update auth elicitation tests to model an installed host-owned Codex
Apps server without sending startup events to the test session.
## Why
PR #29518 replaced the old host-owned flag with a name-only check. That
made non-host-owned tests with the reserved codex_apps name enter auth
elicitation and wait forever for a response.
## Summary
- let `codex sandbox` accept the JSON value from
`codex/sandbox-state-meta`
- require the payload `permissionProfile` instead of falling back to
ambient permissions
- reuse the existing macOS, Linux, and Windows launch paths, treating
external sandbox state conservatively as read-only
- let opaque forwarders add runtime read roots and disable direct
network access without decoding the payload
Builds on #29113, which is now on `main`.
## Tests
- `just test -p codex-cli debug_sandbox::tests`
- `cargo build -p codex-rmcp-client --bin test_stdio_server`
- `just test -p codex-core
stdio_mcp_tool_call_includes_sandbox_state_meta`
- `just test -p codex-mcp`
- `just fmt`
## Why
Codex Apps-specific behavior is currently distributed across cache
helpers, startup, tool conversion, and model-visible annotation. Each
layer independently checks the reserved server name, which obscures the
boundary between trusted host-owned connector metadata and regular MCP
server data.
Classifying the server once when `AsyncManagedClient` is created gives
the client a single source of truth and makes the two processing paths
explicit.
## What changed
- Record whether an `AsyncManagedClient` represents the Codex Apps
server at construction time.
- Route startup cache loading, cache persistence, and cache telemetry
through the Codex Apps branch.
- Split uncached tool conversion between Codex Apps normalization and
regular MCP metadata sanitization.
- Split model-visible schema and plugin provenance handling along the
same boundary.
- Remove redundant server-name guards from helpers that are now called
only from the Codex Apps branch.
## Verification
- Preserve behavioral coverage that verifies Codex Apps connector
metadata and the complete converted `ToolInfo` shape.
## Stack
Depends on #29518.
When using Responses Lite, we should all use `additional_tools` and a
developer item instead of the top level tools array & instructions
field. This keeps things 1-to-1.
Forced namespacing for _all_ tools will land in a following PR after
some coordination & fixes in Responses API (around collisions & return
items).
The goal is to eventually expand the scope of this to _all_ requests
from codex, but that will require larger coordination across providers &
slower rollout.
## Why
Codex Apps server admission is already decided before
`McpConnectionManager` is constructed. `effective_mcp_servers` and
`effective_mcp_servers_from_configured` remove the server when the apps
feature or required authentication is unavailable, so storing the same
decision on the manager duplicates state that can drift from the
effective server map.
## What changed
- Remove `host_owned_codex_apps_enabled` from `McpConnectionManager` and
its constructor.
- Identify the host-owned Codex Apps server by its reserved server name
once it is present in the effective server map.
- Remove the now-unused flag calculations and constructor arguments from
production and test callsites.
## Summary
- express remote compaction result handling as an exhaustive match
- preserve the special `TurnAborted` path without emitting a generic
compaction error
- rely on the standard `test_codex` provider setup in the compaction
budget test
Follow-up to review feedback on #28707.
## Testing
- `just test -p codex-core
compaction_budget_exhaustion_aborts_without_error_or_retry`
- `just fmt`
## Summary
NVIDIA asked to measure Fast mode usage and reasoning effort from Codex
CLI OTEL logs. Add the finalized `service_tier` and
`model_reasoning_effort` to the existing `codex.sse_event`
`response.completed` record.
This intentionally reuses the existing completion event and leaves
transport APIs and shared telemetry plumbing unchanged.
## Testing
- `cargo build -p codex-cli --bin codex`
- `just test -p codex-core responses_api_emits_api_request_event`
- End-to-end with the built CLI and a local OTLP/HTTP collector:
- Fast/high emitted `service_tier=priority` and
`model_reasoning_effort=high` with token usage.
- Standard/low omitted `service_tier` and emitted
`model_reasoning_effort=low` with token usage.
## Summary
- read the request-scoped safety-buffering treatment from HTTP response
headers and per-turn WebSocket metadata through one shared header parser
- combine that treatment with Responses API safety-buffering signals
- propagate `showBufferingUi` and nullable `fasterModel` through the
existing `model/safetyBuffering/updated` app-server notification
- update the app-server documentation and generated JSON and TypeScript
schemas
The public implementation contains no model mapping or real model
identifier. Tests and protocol examples use generic `current-model` and
`faster-model` placeholders only.
## Dependencies
- server-side treatment evaluation:
https://github.com/openai/openai/pull/1060247
- initial Responses API safety-buffering propagation:
https://github.com/openai/codex/pull/29371
- Codex App UI: https://github.com/openai/openai/pull/1057789
## Validation
- Codex API tests: 129 passed
- focused Codex core safety-buffering integration test passed
- app-server protocol tests passed after regenerating schema fixtures
- Clippy fix and repository formatting completed successfully
The broader app-server run compiled all changed crates and completed
with 1,269 passing tests. Its remaining failures were unrelated
environment limitations: macOS sandbox application was denied, one
expected test binary was unavailable, and several existing subprocess
tests timed out as a result.
## Why
Remote stdio MCP servers can run in an environment whose path convention
differs from the Codex host. A Windows cwd such as
`C:\Users\openai\share` is absolute for the executor but was rejected by
a POSIX orchestrator.
Built on #29501, now merged, which only clarifies the host-native
`PathUri` constructor name.
## What changed
- Deserialize MCP cwd values as `LegacyAppPathString` so config does not
apply host path rules.
- Interpret that spelling as host-native for local launches and convert
it to `PathUri` at executor launch.
- Skip host filesystem and command resolution checks for remote stdio in
`codex doctor`.
- Add host-independent config and executor-boundary coverage using the
foreign path convention for each test platform.
## Validation
- `just test -p codex-utils-path-uri -p codex-config -p codex-mcp -p
codex-rmcp-client` (408 passed)
- `just test -p codex-cli -p codex-rmcp-client` (372 passed)
- `cargo check --workspace --tests`
- `just test` (11,311 passed; 43 unrelated environment/timing failures)
- `just fix -p codex-cli -p codex-config -p codex-core -p codex-mcp -p
codex-mcp-extension -p codex-rmcp-client -p codex-tui`
## Why
Amazon Bedrock returns a `401 Unauthorized` response containing
`Signature expired:` when an AWS credential, including a short-lived
`AWS_BEARER_TOKEN_BEDROCK`, has expired. Codex currently surfaces that
response as a generic `unexpected status` error, which does not explain
how to recover.
Environment-provided bearer tokens cannot be refreshed automatically, so
the error should direct users to refresh their AWS credentials or
replace or remove the environment token and restart Codex. This
classification belongs to the Amazon Bedrock provider so similar
responses from other providers retain their existing behavior.
## What changed
- Add a synchronous `ModelProvider::map_api_error` hook that defaults to
the existing provider-neutral API error mapping, and route model
request, stream, WebSocket, and terminal unauthorized errors through the
active provider.
- Override the hook for Amazon Bedrock. After preserving the structured
status, body, URL, and request metadata, recognize `401` responses
containing `Signature expired:` and attach actionable credential
guidance.
- Keep `codex-protocol` provider-neutral by representing the guidance as
an optional `user_message`. Error rendering prefers this message while
continuing to append the URL, request ID, Cloudflare ray, and
authorization diagnostics.
- Add model-provider coverage for expired signatures and negative cases,
core coverage for provider dispatch after unauthorized recovery, and a
TUI snapshot for the rendered error.
## Testing
Tested with a real request with expired bedrock key:
<img width="962" height="126" alt="Screenshot 2026-06-22 at 3 56 51 PM"
src="https://github.com/user-attachments/assets/7e21cc7c-798e-4662-8467-7f304a2f2b59"
/>
seems to be a merge conflict on main:
> pakrym-oai introduced the stale initializer in commit 3b32d861c5, PR
#29249.
> Context: Owen Lin renamed metadata to
internal_chat_message_metadata_passthrough in PR #28968. PR #29249 then
landed afterward with the old field name, causing the compile/Clippy
failure.
## Why
Downstream refactors are producing confusing code with this
functionality having a very generic name. Encoding the specific
conversion approach in the method name makes it clearer.
## What
Rename `PathUri::from_path` to `PathUri::from_host_native_path` and
update its Rust call sites.
## Why
MCP tools were only placed behind `tool_search` when a feature flag was
enabled or when there were at least 100 tools. That made the model's
tool flow depend on both rollout configuration and the number of
installed tools.
The searched-tool flow is now the intended behavior. Making it
unconditional when the model and provider support it gives every
supported setup the same behavior and lets us retire the feature flag
safely.
## What changed
- Defer all effective MCP tools when `tool_search` and namespaced tools
are supported.
- Keep exposing MCP tools directly when search cannot be used, so older
or unsupported model/provider combinations still work.
- Mark `tool_search_always_defer_mcp_tools` as removed and ignore old
configured values.
- Keep plugin filtering, app-only filtering, file handling, and MCP
calls working through the searched-tool flow.
## Why many tests changed
Many tests used to act as if the model could see MCP tools in its first
request and call them immediately. That is no longer the real flow: the
model first receives `tool_search`, searches for a tool, receives the
matching MCP tool, and then calls it in the next request.
The tests therefore needed an extra search step, and checks for tool
names, descriptions, and input fields had to move from the first request
to the search result. These are not separate product changes; they make
the tests follow what the model will actually see after this change. The
plugin tests still check which tools are allowed and where they came
from, the file tests still check upload fields and behavior, and the MCP
round-trip test still checks a successful call from start to finish.
## Tests
- `just test -p codex-features`
- Focused `codex-core` tests for MCP exposure and tool planning
- `just test -p codex-core explicit_plugin_mentions`
- `just test -p codex-core stdio_server_round_trip`
- Focused `codex-core` tests for tool search, app-only tools, and MCP
file uploads
## Description
This PR is a followup to https://github.com/openai/codex/pull/28355 and
starts assigning `internal_chat_message_metadata_passthrough.turn_id` to
durable Responses API items created during a turn.
The goal is that those items keep the `turn_id` that introduced them
when Codex resends stateless HTTP context, reconstructs history for
resume/fork paths, or reuses websocket response state.
## What changed
- Set `internal_chat_message_metadata_passthrough.turn_id` when missing
as response items enter durable history, initial/replacement history,
inter-agent communication history, and local compaction summaries.
- Preserve existing item turn IDs instead of overwriting them during
persistence, resume reconstruction, compaction, forked history, and
websocket incremental reuse.
- Keep `compaction_trigger` fieldless because it is a request control,
not a durable response item.
- Update focused history/request assertions and fixtures for stateless
requests, websocket incrementals, compaction, thread injection, prompt
debug, and related CI coverage.
## What
This PR will extend the existing centralized image-preparation path to
replace HTTP(S) image inputs with a model visible error message. It
won't "ruin" and break existing rollouts, but it will deprecate support
for the pathway. App server clients should no longer use HTTP image urls
if they'd like to upgrade.
The HTTP image url pathway is currently resolved in the responsesapi. It
is slow and not reccomended.
## Behavior
- HTTP(S) image URL: replace with `input_text`
- data URL: use the existing decode and resize path
- other image URL schemes: leave unchanged
This intentionally does not change app-server ingress. That validation
remains a follow-up.
## Test plan
- `just test -p codex-core -E
'test(/image_preparation|prepares_image_failures_before_history_insertion|prepares_resumed_history_before_installing_it|responses_lite_prepares_images/)'`
— 7 passed
- `just fix -p codex-core`
- `just fmt`
Token-budget initial context carries thread and context-window lineage
that the model should treat as one structured context-window block.
Wrapping it in `<context_window>` makes that boundary explicit while
preserving the existing window id content.
Before this change, the window identifiers were injected as an untagged
developer text fragment:
```text
Thread id <THREAD_ID>.
First context window id: <FIRST_WINDOW_ID>
Current context window id: <WINDOW_ID>
Previous context window id: <PREVIOUS_WINDOW_ID>
```
After this change, the same payload is wrapped as a context-window
block:
```text
<context_window>
Thread id: <THREAD_ID>
First context window id: <FIRST_WINDOW_ID>
Current context window id: <WINDOW_ID>
Previous context window id: <PREVIOUS_WINDOW_ID>
</context_window>
```
This adds shared `CONTEXT_WINDOW_*_TAG` protocol constants, updates
`TokenBudgetContext` to render with those markers, treats the new
wrapper as contextual developer content when mapping history, and
refreshes the token-budget request-shape assertions and snapshot.
Verification:
- `just test -p codex-core token_budget`
- `just test -p codex-core
recognizes_context_window_as_contextual_developer_content`
## Why
Environment context is model-visible state, but it is currently
assembled from transient turn values and diffed through
environment-specific paths. That makes initial injection, turn-to-turn
updates, and changes that happen within a turn use different baselines.
This PR introduces the smallest useful model world-state slice:
environments only, with one in-memory baseline and one renderer for full
state and diffs.
## What changed
- Add a typed `WorldState` container whose sections render fragments
relative to an optional previous value. Full rendering uses the same
diff path with no previous state.
- Replace the parallel `EnvironmentContext` representation with an
`EnvironmentsState` section keyed by environment ID and rendered in
deterministic order.
- Preserve the legacy single-environment output while supporting
multiple environments, starting environments, unavailable tombstones,
and changes to persisted turn-context values.
- Store the latest complete `WorldState` on `ContextManager` and use it
for both turn-boundary and mid-turn environment diffs.
- Build initial and post-compaction context from the same world-state
builder, then retain the rendered state as the next baseline.
- Seed the in-memory baseline from the latest `TurnContextItem` when
resuming an existing rollout; the world state itself is not serialized.
- Keep non-world settings updates on their existing path and merge
rendered world-state fragments at the session consumer.
## Known limitation
A legacy `TurnContextItem` only reconstructs the primary environment as
`local`; it cannot faithfully recover a remote-primary environment ID
after resume. Live state uses the exact environment IDs once a complete
baseline is established.
## Test plan
- `just test -p codex-core world_state`
- `just test -p codex-core record_context_updates`
- `just test -p codex-core deferred_executor_`
- `just test -p codex-core build_initial_context`
- `just test -p codex-core rollout_reconstruction`
- `just test -p codex-core
process_compacted_history_reinjects_full_initial_context`
## Summary
- rename `Config::permission_profile_allowed` to
`is_permission_profile_allowed`
- use `BUILT_IN_PERMISSION_PROFILE_DANGER_FULL_ACCESS` in the TUI and
its assertion
- follow up on the late review comments from #26678
The previous `:danger-no-sandbox` value was an invalid built-in profile
ID. #26678 corrected it to `:danger-full-access`; this PR centralizes
the value to prevent future drift.
## Testing
- Not run per request; `cargo fmt` only
Co-authored-by: Codex <noreply@openai.com>
## Why
`permissionProfile/list` currently advertises every built-in and
configured profile even when effective enterprise requirements prevent
selecting it. That forces each client to reconstruct policy from
lower-level requirement fields, which is easy to miss and difficult to
keep consistent.
The catalog should remain complete so clients can explain that an option
was disabled by an administrator, while also reporting whether each
profile is selectable.
## What
- Add an `allowed` field to each permission profile summary.
- Build a shared catalog from the effective config and current
requirements, including `allowed_sandbox_modes`, `allowed_permissions`,
and filesystem restrictions.
- Use the shared catalog in app-server and the TUI so disallowed
profiles remain visible but cannot be selected.
- Use the canonical `:danger-full-access` profile ID in the TUI.
- Update the app-server schemas, API documentation, behavioral tests,
and TUI snapshots.
## Scope
This PR targets `main` directly and is independent of #24852. It
preserves the current behavior where built-in profiles are constrained
by sandbox-mode requirements and `allowed_permissions` applies to
configured profiles.
## Testing
- `just test -p codex-core
permission_profile_catalog_marks_profiles_disallowed_by_requirements`
- `just test -p codex-app-server permission_profile_list`
- `just test -p codex-app-server-protocol`
- `just test -p codex-tui profile_permissions`
- `just fix -p codex-core`
- `just fix -p codex-app-server-protocol`
- `just fix -p codex-app-server`
- `just fix -p codex-tui`
- `just fmt`
---------
Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Joey Trasatti <joey.trasatti@openai.com>