## Why
`start_new_context_window` independently replaced in-memory history and
persisted a compacted checkpoint instead of using the shared
compacted-history path. That bypassed the centralized missing-item-ID
assignment when `item_ids` is enabled, so fresh context messages could
enter the new context window and its persisted replacement history
without IDs.
This follows up on the token-budget compaction reset flow introduced in
[#29743](https://github.com/openai/codex/pull/29743).
## What changed
- Delegate new context-window installation to
`replace_compacted_history`.
- Reuse its ID assignment, in-memory replacement, world-state baseline,
checkpoint persistence, turn-context persistence, and session-start
bookkeeping.
- Add focused coverage that verifies generated IDs are present in live
history and preserved in the persisted replacement history.
## Testing
- `just test -p codex-core
start_new_context_window_assigns_and_persists_item_ids`
- `just test -p codex-core
new_context_tool_starts_new_window_before_follow_up`
## 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
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
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
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.
## 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
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.
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
- 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.
## 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`
## 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`
## Why
The first auto-review currently creates its Guardian child session on
demand, adding avoidable latency before the review can begin. Creating
the ordinary Guardian child during parent-session initialization lets
that child use the existing session startup WebSocket prewarm before the
first escalation. This does not introduce a Guardian-specific prewarm
mechanism.
## What changed
- initialize the existing Guardian review-session manager owned by
`Session` when a thread starts with auto-review enabled and an approval
policy that routes to Guardian
- use the standard Guardian child-session construction and the existing
session startup WebSocket prewarm
- preserve the existing reuse-key invalidation and lazy creation
fallback when startup initialization fails or the effective review
configuration changes
- add an integration test that verifies normal root-session startup
emits a Guardian `generate=false` prewarm request
## Benchmark
I compared release builds against main. Each prompt first ran a
non-escalated `sleep 3`, then requested an escalated marker command.
| binary | count | avg Guardian duration | median Guardian duration |
avg Guardian TTFT |
|---|---:|---:|---:|---:|
| origin-main | 10 | 4008.7 ms | 3949.5 ms | 3746.5 ms |
| session-fix | 10 | 2865.0 ms | 2594.0 ms | 2492.7 ms |
Guardian duration fell by 28.5% and Guardian TTFT fell by 33.5%. These
measurements cover Guardian review latency; they do not measure parent
thread-start latency.
## Description
This PR cuts Codex over from generic `ResponseItem.metadata` (introduced
here: https://github.com/openai/codex/pull/28355) to
`ResponseItem.internal_chat_message_metadata_passthrough`, which is the
blessed path and has strongly-typed keys.
For now we have to drop this MAv2 usage of `metadata`:
https://github.com/openai/codex/pull/28561 until we figure out where
that should live.
This PR moves construction of `PluginTelemetryMetadata` from loader and
model helpers into `PluginsManager`, which already owns installed plugin
state and will eventually perform remote identity enrichment. The
metadata type remains in `codex-plugin`, and serialized analytics events
remain unchanged.
## Before
```mermaid
flowchart LR
subgraph Events["Analytics event paths"]
direction TB
Lifecycle["Local install / uninstall"]
Config["Enable / disable"]
Remote["Remote install"]
Used["Plugin used"]
end
subgraph Construction["Metadata construction"]
direction TB
Loader["Loader telemetry helpers"]
Summary["PluginCapabilitySummary::telemetry_metadata"]
Override["Caller adds remote_plugin_id"]
end
Metadata["PluginTelemetryMetadata"]
Lifecycle --> Loader
Config --> Loader
Remote --> Loader
Loader -->|"local events"| Metadata
Loader -->|"remote install"| Override
Override --> Metadata
Used --> Summary
Summary --> Metadata
```
Telemetry metadata was constructed through loader helpers, a
capability-summary method, and a remote-install call-site override.
## After
```mermaid
flowchart LR
subgraph Events["Analytics event paths"]
direction TB
Lifecycle["Local install / uninstall"]
Config["Enable / disable"]
Remote["Remote install"]
Used["Plugin used"]
end
Manager["PluginsManager — single construction owner"]
Metadata["PluginTelemetryMetadata"]
Lifecycle --> Manager
Config --> Manager
Remote -->|"authoritative remote ID"| Manager
Used -->|"capability summary"| Manager
Manager --> Metadata
```
Every analytics path delegates metadata construction to
`PluginsManager`. Remote install still supplies its authoritative
backend ID explicitly.
## What Changes
- Make loader code return a focused plugin capability summary instead of
constructing analytics metadata.
- Centralize immutable plugin telemetry metadata construction in
`PluginsManager`.
- Route local install/uninstall, remote install, enable/disable, and
plugin-used emitters through the manager.
- Preserve the current serialized analytics contract exactly.
Normal metadata still has no remote override. Remote install continues
to provide its authoritative backend ID explicitly, so the existing
serializer continues reporting that ID through `plugin_id`.
Snapshot-based enrichment is intentionally deferred to the final PR.
## Testing
- `just test -p codex-core-plugins` (238 tests passed)
- `just test -p codex-plugin` (3 tests passed)
- Scoped Clippy/compile checks passed for `codex-plugin`,
`codex-core-plugins`, `codex-app-server`, and `codex-core`.
## Split Overview
```text
main
├── #27093 Debug analytics capture (merged)
├── #27099 Non-mutating plugin smoke (merged)
├── #27100 Remote install/uninstall smoke (merged)
└── #27102 Plugin telemetry metadata refactor ← you are here
└── #27669 Persist remote plugin identity
After #27102 and #27669 merge:
└── Final PR: add explicit local and remote IDs to plugin analytics
```
Review order and dependencies:
1. [#27093 Add debug-only analytics event
capture](https://github.com/openai/codex/pull/27093) (merged)
2. [#27099 Add a plugin analytics smoke
workflow](https://github.com/openai/codex/pull/27099) (merged)
3. [#27100 Add a remote plugin analytics mutation smoke
workflow](https://github.com/openai/codex/pull/27100) (merged)
4. This metadata refactor, independent and based on `main`
5. [#27669 Persist remote plugin
identity](https://github.com/openai/codex/pull/27669), stacked on this
PR
6. Final remote-ID behavior PR, created after the prerequisites merge
The original [#26281](https://github.com/openai/codex/pull/26281)
remains open as the aggregate reference until the final replacement PR
is published.
## What
- make Fjord's centralized response-item image preparation unconditional
for new and resumed history
- have local user images and `view_image` outputs always defer decoding
and resizing to that path
- retain `resize_all_images` as an ignored, removed compatibility key
for released clients
- delete the flag-off producer paths and obsolete policy-specific tests
## Why
Centralized preparation is now the intended image path. Keeping the
runtime feature checks also kept two image-processing implementations
alive and allowed client config to select the legacy behavior.
This is a clean replacement for #28975, rebuilt from the latest `main`.
## How
`prepare_response_items` now runs whenever items enter history and
whenever persisted history is reconstructed. Producers emit deferred
image data, so malformed images become the existing model-visible
placeholder instead of failing the session at the producer.
## Test plan
- `just fmt`
- `just fix -p codex-core -p codex-features`
- `just test -p codex-features` — 52 passed
- focused affected `codex-core` set — 20 passed
- `just test -p codex-core handle_accepts_explicit_high_detail` — 1
passed
- full `just test -p codex-core` attempt — 2,723 passed; 88 unrelated
environment failures from read-only `~/.codex` SQLite state and
unavailable integration helper binaries
## Description
Restore `thread_source` in `x-codex-turn-metadata`.
Inadvertently removed `thread_source` from `x-codex-turn-metadata` in
https://github.com/openai/codex/pull/27122 - didn't realize it was a
top-level thread app-server API field, not passed in
`responsesapi_client_metadata`.
This also reserves the key so `responsesapi_client_metadata` cannot
override it.
## Why
Nonblocking environment snapshots allow a turn to reach the model while
a remote environment is still starting. The initial context can describe
that environment as still loading, but nothing currently refreshes the
model-visible environment context when startup finishes during the same
turn.
This adds the first request-scoped reconciliation slice on top of
#28683. It is gated by `DeferredExecutor` and intentionally updates only
model-visible environment context; tools and other environment-derived
state will migrate separately.
## What
- Add a minimal `StepContext` containing the environment snapshot
captured before each sampling request.
- Render attached environments with their resolved shell and starting
environments with `still loading`.
- Track the latest environment state recorded in model history and
append a bounded update only when it changes.
- Seed that baseline from full initial context so ready-at-start
environments are not duplicated.
- Clear the in-memory baseline when history is rewritten so replacement
history can be refreshed safely.
## Testing
- `just test -p codex-core deferred_executor`
- `just test -p codex-core
environment_context_baseline_deduplicates_until_history_is_replaced`
The integration coverage verifies that a pending environment reaches the
first request, the ready state reaches the next request, later requests
do not duplicate it, and ready-at-start environments remain
single-injected.
<details>
<summary>Live verification</summary>
- Connected to a real remote executor with startup deliberately delayed
and forced three sampling requests in one turn.
- Inspected the raw model inputs: request 1 showed the remote
environment as `still loading`, request 2 appended its ready shell and
cwd, and request 3 contained no duplicate ready update.
- With the feature disabled, startup waited for the delayed executor and
the first request contained only the ready environment.
- With a synchronously ready environment and the feature enabled, the
first request contained one environment context with no duplicate.
- Executed `pwd` and read a marker file through the remote process
runner; the command exited successfully and returned the remote cwd and
marker contents.
</details>
## Why
Multi-agent delegation policy was split across `multiAgentMode`,
`features.multi_agent_mode`, and `usage_hint_enabled`. These controls
could disagree: a requested mode could be downgraded by the feature
flag, and disabling usage hints also disabled mode instructions.
Some clients also need multi-agent tools without adding
delegation-policy text to model context. The previous two-mode API could
not express that directly.
## What changed
`multiAgentMode` is now the only live delegation-policy control:
| Mode | Behavior |
| --- | --- |
| `none` | Keep multi-agent tools available without adding mode
instructions. |
| `explicitRequestOnly` | Only delegate after an explicit user request.
|
| `proactive` | Delegate when parallel work materially improves speed or
quality. |
- new threads default to `explicitRequestOnly`; omitting the mode on
later turns keeps the current value
- thread start, resume, fork, and settings responses always report the
concrete current mode instead of `null`
- mode selection remains sticky across turns and resume
- usage-hint text no longer controls whether mode instructions apply
- `features.multi_agent_mode` and `usage_hint_enabled` remain accepted
as ignored compatibility settings so existing configs continue to load
- app-server documentation and generated schemas describe the three-mode
API
## Tests
- `just test -p codex-core multi_agent_mode`
- `just test -p codex-core multi_agent_v2_config_from_feature_table`
- `just test -p codex-core spawn_agent_description`
- `just test -p codex-features`
- `just test -p codex-app-server-protocol`
- `just test -p codex-app-server multi_agent_mode`
## Summary
A cold-resumed subagent kept its durable thread ID but could receive a
new session ID, splitting one agent tree across multiple sessions after
a restart.
Persist the root session ID in every rollout `SessionMeta`, carry it
through thread creation, and restore it before initializing the resumed
`Session` and `AgentControl`.
## Behavior
For a nested agent tree:
```text
root session R
parent thread P
child thread C
```
The child rollout stores:
```text
session_id: R
parent_thread_id: P
id: C
```
After a cold resume, the child still belongs to root session `R` while
its immediate parent remains `P`. The integration coverage uses distinct
values for all three IDs so it catches restoring the session from
`parent_thread_id`.
## Legacy rollouts
Previous rollouts have `id` but no `session_id`. `SessionMetaLine`
deserialization treats a missing `session_id` as `id`, keeping those
files readable, listable, and resumable. When a legacy subagent is
resumed through its root, that synthesized child ID no longer overrides
the inherited root-scoped `AgentControl`. New rollouts always persist
the explicit root session ID.
## Summary
- read the `AutoCompaction` feature flag through `TurnContext::config`
- fix both the mid-turn and pre-sampling compaction checks
## Why
#28260 was validated against an older base where `TurnContext` exposed a
direct `features` field. It was then merged after that field had moved
under `config`, leaving the merge result unable to compile with `E0609`
on `turn_context.features`.
This restores compilation for Bazel, SDK, and argument-comment-lint jobs
that build `codex-core`. Behavior is unchanged: disabling
`auto_compaction` still skips automatic compaction.
## Validation
- `just fmt`
- `CODEX_HOME=/private/tmp/codex-fix-auto-compaction-test-home just test
-p codex-core auto_compaction_feature_disabled` — 4 passed
- `just test -p codex-core` — `codex-core` compiled; 2,722 passed and 89
unrelated local-environment failures remained because the sandbox could
not write the default Codex SQLite/proxy paths and some first-party test
binaries were unavailable
Responses API safety buffering metadata currently stops at the transport
boundary, so app-server clients cannot render the in-progress safety
review state.
This change:
- decodes and deduplicates `safety_buffering` metadata from Responses
API SSE and WebSocket events without suppressing the original response
event
- emits a typed core event containing the requested model plus backend
use cases and reasons
- forwards that event as `turn/safetyBuffering/updated` through
app-server v2 and updates generated protocol schemas
- keeps the side-channel event out of persisted rollouts and turn timing
This supports the Codex Apps buffering UX and depends on the Responses
API backend work in https://github.com/openai/openai/pull/1044569 and
https://github.com/openai/openai/pull/1044571.
Validation:
- focused `codex-core` safety-buffering integration test passes
- `cargo check -p codex-core -p codex-app-server -p
codex-app-server-protocol`
- `just fix -p codex-api -p codex-protocol -p codex-core -p
codex-app-server-protocol -p codex-app-server -p codex-rollout -p
codex-rollout-trace -p codex-otel`
- `just fmt`
- broad package test run: 4,430/4,492 passed; 62 unrelated
local-environment/concurrency failures involved unavailable test
binaries, MCP subprocess setup, and app-server timeouts
## Summary
- add a default-on `auto_compaction` feature flag as an internal escape
hatch
- skip pre-turn, model-switch/hash, and mid-turn automatic compaction
when the flag is disabled
- preserve manual `/compact` behavior and surface the existing
context-window error when the provider runs out of room
- add integration coverage for disabled pre-turn and mid-turn compaction
## Motivation
Long-running SPO optimization rollouts need the option to preserve their
full context and fail on context exhaustion instead of entering another
compaction window. This deliberately uses the existing feature-flag
mechanism rather than adding a dedicated public config or app-server
API.
Disable it with:
```sh
codex --disable auto_compaction
```
## Testing
- `just test -p codex-features` — 51 passed
- `just test -p codex-core auto_compaction_feature_disabled` — 2 passed
- `just fix -p codex-core -p codex-features`
- `just write-config-schema`
- `just test -p codex-core` — the new compaction tests passed; the
overall local run had 54 unrelated environment failures, primarily
missing first-party test binaries and shell-snapshot timeouts
## Why
The token-budget feature currently adds remaining-token messages
whenever usage crosses the 25%, 50%, and 75% thresholds. Those periodic
inserts create prompt churn without requiring action, while the
near-compaction reminder and explicit `get_context_remaining` tool
already cover actionable and on-demand budget information.
The context-window lineage block is also easier to scan as plain labeled
text than as a `<token_budget>`-wrapped fragment.
## What changed
- Stop recording automatic remaining-token messages at percentage
thresholds.
- Render context-window lineage in `First`, `Current`, `Previous` order
with colon-separated labels.
- Omit the `Previous` line for the first context window.
- Remove `<token_budget>` wrappers from newly rendered lineage,
near-compaction reminders, and `get_context_remaining` output.
- Keep recognizing legacy wrapped fragments so existing rollouts remain
compatible.
- Remove the post-sampling token snapshot that was only needed by the
periodic threshold path.
## Testing
- `just test -p codex-core token_budget` (11 tests passed)
## Why
The token-budget feature reports coarse remaining-context milestones,
but it does not give the model a configurable wrap-up prompt before
automatic compaction. A strict threshold-crossing check can also miss
resumed or reconfigured windows that are already inside the threshold.
## What changed
- Add structured `[features.token_budget]` configuration for an absolute
`reminder_threshold_tokens` and bounded `reminder_message_template`;
`{n_remaining}` is expanded when the reminder is delivered.
- Compute remaining tokens against the next effective auto-compaction
boundary, including scoped `body_after_prefix` accounting and the full
context-window limit.
- Make reminder delivery level-triggered before and after sampling, with
one-shot state owned by `AutoCompactWindow` and re-armed on compaction,
`new_context`, restore, or history replacement.
- Leave the existing initial full-window token-budget context, 25/50/75%
notices, and token-budget tools unchanged.
- Persist the resolved feature configuration in the session config lock
and regenerate the config schema.
## Validation
- `just test -p codex-core token_budget`
- `just test -p codex-core
token_budget_reminder_emits_after_crossing_compaction_threshold`
- `just test -p codex-core auto_compact_window`
- `just test -p codex-core
lock_contains_prompts_and_materializes_features`
- `just test -p codex-features`
- `just test -p codex-config`
## Why
Prototype whether the harness can invoke the `mcp_history` MCP while
constructing full initial context and expose its thread hint to the
model without requiring a model-issued tool call.
The prototype builds on the context-window lineage added by #29256 and
is now based directly on `main`.
## What changed
- Call `mcp_history/thread_hint` with no arguments while building the
full `<token_budget>` context.
- Pass the current `threadId` through MCP request metadata, matching the
normal MCP tool-call path.
- Serialize only the unstructured `content` result and append it inside
`<token_budget>` when the call succeeds.
- Omit the additional context when the MCP call or content serialization
fails.
## Prototype limitations
- The direct call bypasses the normal model-initiated MCP approval,
lifecycle-event, telemetry, and result-sanitization path.
- The call has no prototype-specific timeout, result-size cap, or
per-window cache.
- MCP latency is added to full-context construction, including
applicable compaction paths.
## Validation
- `just test -p codex-core token_budget`
## Why
The rendered `<token_budget>` fragment identifies the thread and current
context window, but it does not expose enough lineage to identify the
first window in the thread or the immediately preceding window. Those
IDs also need to remain stable across compaction, resume, and rollback.
## What changed
- Track first, previous, and current UUIDv7 context-window IDs in
auto-compaction state.
- Render `thread_id`, `first_window_id`, `previous_window_id`, and the
current window ID in the full `<token_budget>` fragment.
- Persist the first and previous window IDs in compacted rollout
checkpoints and restore them during rollout reconstruction.
- Preserve compatibility with older compacted records that do not
contain the new optional fields.
- Update focused state, rendering, reconstruction, rollback, and
serialization coverage.
## Validation
- `just test -p codex-core token_budget`
- `just test -p codex-protocol compacted_item::tests`
- `just test -p codex-core tracks_prefill_and_window_boundaries`
- `just test -p codex-core
reconstruct_history_uses_replacement_history_verbatim`
- `just test -p codex-core
thread_rollback_restores_cleared_reference_context_item_after_compaction`
## Why
Orchestrator-provided skills and Codex Apps MCP tools add model-visible
instructions, resources, and tools beyond the local workspace. Hosts
need config-level switches to disable those orchestrator-owned surfaces
independently, without disabling regular skills or regular MCP servers.
## What changed
- Adds `[orchestrator.skills].enabled` and `[orchestrator.mcp].enabled`
config entries, both defaulting to `true`.
- Includes the new settings in `config.schema.json` and in the config
lock so resolved thread configuration preserves the same orchestrator
exposure decisions.
- Threads `orchestrator.skills.enabled` through the app-server skills
extension so disabled orchestrator skills do not expose the `skills`
namespace or inject orchestrator skill context.
- Gates Codex Apps MCP exposure, app instructions, and app auth
eligibility on `orchestrator.mcp.enabled` while leaving non-Codex-Apps
MCP tools available.
- Updates the thread-manager sample config to disable both
orchestrator-owned surfaces.
## Verification
- Added config parsing, loading, defaulting, and schema coverage for the
new settings.
- Added MCP exposure coverage that `orchestrator.mcp.enabled = false`
removes Codex Apps tools while preserving regular MCP tools.
- Added app-server coverage that `orchestrator.skills.enabled = false`
prevents orchestrator skill tools, prompts, and resource reads from
reaching the model turn.
## Stack
Depends on #28494.
## Description
This PR propagates shared rollout-budget exhaustion through the existing
`CodexErr::TurnAborted` task result.
Each thread records its model usage against the same ledger. Once the
ledger is exhausted, that usage update and all later usage updates
return `TurnAborted`. The task wrapper emits the normal aborted-turn
event and lifecycle instead of completing the turn.
This is intentionally a soft boundary: there is no cross-thread
`Op::Interrupt` fanout. An in-flight thread can finish its current
response before it observes the exhausted ledger, but every thread
aborts at its next usage-accounting boundary.
## Tests
The integration coverage verifies that:
- the response that exhausts the budget aborts its turn;
- a later response also aborts because the shared ledger remains
exhausted; and
- sub-agent usage draws from the same shared ledger; and
- local and remote-v2 compaction abort without retrying or emitting a
generic error.
Local checks:
- `just test -p codex-core
exhausted_budget_aborts_current_and_later_turns`
- `just test -p codex-core subagent_usage_draws_from_the_shared_budget`
- `just test -p codex-core
abort_regular_task_emits_marker_before_turn_aborted`
- `just test -p codex-core
compaction_budget_exhaustion_aborts_without_error_or_retry`
- `just fix -p codex-core`
- `just fmt`
- `git diff --check`
The full workspace test suite was not run locally.
## Why
Once multi-agent mode can be selected per turn, clients also need to
choose the initial selection when creating a thread and observe that
selection through lifecycle and settings APIs.
The selected value is intentionally distinct from the effective
model-visible value: no client selection is represented as `null`, even
though an eligible multi-agent v2 turn derives `explicitRequestOnly` as
its effective default.
## What changed
- Add the optional experimental `thread/start.multiAgentMode` parameter
and pass it through thread creation.
- Preserve an omitted initial value as an unset selection rather than
eagerly storing `explicitRequestOnly`.
- Apply an explicit `thread/start` selection to the first turn through
the session configuration established at thread creation.
- Restore the latest persisted effective mode as the selected baseline
on cold resume when rollout history contains one.
- Inherit the optional selected mode from a loaded parent when creating
related runtime threads.
- Return the current selected `multiAgentMode` from `thread/start`,
`thread/resume`, `thread/fork`, and thread settings, using `null` when
no mode is selected.
- Keep lifecycle reporting independent from model capability and feature
eligibility; core turn construction remains responsible for calculating
and persisting the effective mode.
## Not covered
- Clearing an existing loaded-session selection back to unset through
`turn/start`; omitted or `null` currently retains the session's
selection.
- A TUI control, slash command, or `config.toml` preference.
## Verification
- `CARGO_INCREMENTAL=0 just test -p codex-app-server-protocol`
- `CARGO_INCREMENTAL=0 just test -p codex-app-server multi_agent_mode`
The focused app-server coverage verifies explicit `thread/start`
initialization, first-turn prompting, nullable reporting for an omitted
selection, and retention of selections that are not currently
runtime-eligible.
## Stack
Stacked on #28685. This PR contains only the thread initialization and
lifecycle/settings API layer.
## Why
Multi-agent v2 currently carries an explicit-request-only delegation
rule in its static usage hint. That provides a safe default, but it
prevents clients from selecting proactive delegation per turn without
changing static guidance or rewriting prior model context.
This change makes delegation mode a session selection that can be
updated through `turn/start`, while deriving the effective model-visible
mode separately for each turn. Eligible multi-agent v2 turns remain
explicit-request-only unless proactive mode is both selected and
enabled.
## What changed
- Add the experimental `turn/start.multiAgentMode` parameter with
`explicitRequestOnly` and `proactive` values. Omission retains the
loaded session's current optional selection.
- Add the default-off `features.multi_agent_mode` feature gate. Eligible
multi-agent v2 turns use the selected mode when enabled; an unset
selection or disabled gate resolves to `explicitRequestOnly`.
- Treat mode prompting as inapplicable for multi-agent v1 and other
unsupported session configurations, producing no multi-agent mode
developer message rather than rejecting the turn.
- Move the explicit-request-only rule out of the static v2 usage hint
and into a bounded, tagged developer context fragment.
- Emit the effective mode in initial context and only when that
effective mode changes on later turns.
- Persist the effective mode in `TurnContextItem` as the durable
baseline for resume and context-update comparisons.
Historical rollout items are not rewritten. Later mode developer
messages establish the current rule incrementally.
## Not covered
- Initial selection through `thread/start` and selected-mode reporting
from thread lifecycle/settings APIs; those are isolated in the stacked
#28792.
- A TUI control or slash command for selecting the mode.
- Persisting a preferred mode to `config.toml`; selection remains
session/turn scoped.
- Changes to multi-agent concurrency limits, tool availability, or model
catalog capability declarations.
- Rewriting historical rollout prompt items. Cold resume restores the
latest persisted effective mode when available while leaving historical
developer messages intact.
## Verification
- `CARGO_INCREMENTAL=0 just test -p codex-core multi_agent_mode`
- Focused app-server coverage verifies that `turn/start.multiAgentMode`
produces proactive developer instructions for an eligible v2 turn.
## Stack
Followed by #28792, which adds `thread/start` initialization and
lifecycle/settings observability.
## Why
Remote environments may still be resolving when Codex creates a session
or turn. Waiting for the existing all-or-nothing environment snapshot
can hold startup until the selected environment is usable.
Behind the default-off `deferred_executor` feature, let callers take a
useful snapshot immediately: completed environments remain available
normally, while unfinished environments are reported without blocking
startup. With the feature disabled, snapshots preserve the existing
blocking behavior.
Depends on #28674.
## What changed
- Store one ordered list of selected environments in
`ThreadEnvironments`. Each selection owns one shared resolution that
produces its complete `TurnEnvironment`.
- Start new resolutions in the background with `remote_handle()`,
allowing snapshots and the future wait tool to share the same result
while cancellation follows the retained handles.
- Make `snapshot()` a read-only operation: nonblocking snapshots collect
completed resolutions and retain handles for unfinished ones, while
blocking snapshots await every resolution.
- Replace completed failed resolutions from the current manager entry
and log when failed environments are omitted.
- Return attached and starting environments as a point-in-time view, and
count starting environments when deciding whether a snapshot is
local-only.
- Keep existing consumers attached-only. `to_selections()` derives from
attached environments, so child threads do not inherit an environment
that is still starting.
## Test plan
- `just test -p codex-core environment_selection`
- `just test -p codex-core
deferred_executor_reaches_model_before_remote_environment_is_ready`
## Landing note
Keep `deferred_executor` disabled for slow-starting executors until
configurable `environment/add` connection timeouts and caller support
land. When enabled, an environment that attaches after session startup
may remain absent from environment-derived model context, tools,
instructions, skills, and related state until follow-up refresh work
lands.
## Why
Remote v2 compaction can return replacement-history items without IDs.
Because replacement history is installed directly, those items bypass
normal history preparation and remain ID-less in later Responses
requests even when the `item_ids` feature is enabled.
## What changed
- Pass the active `TurnContext` into `replace_compacted_history`.
- When `item_ids` is enabled, assign missing IDs before installing and
persisting replacement history.
- Rebuild `CompactedItem` from the prepared history so live and
persisted replacement histories match.
- Add integration coverage requiring IDs on every ID-capable input item
in the initial, remote v2 compaction, and post-compaction requests.
## Test plan
- `just test -p codex-core response_item_ids`
- `just test -p codex-core websocket_v2_test_codex_shell_chain`
- `just test -p codex-core remote_compaction_parity_pre_turn_auto`
- `just test -p codex-app-server
thread_inject_items_adds_raw_response_items_to_thread_history`
## Why
Client-created response items enter history without IDs, so their
identity is lost across rollout persistence and resume. IDs should be
assigned once at the history-recording boundary, while IDs returned by
the server must remain unchanged.
The Responses API validates item IDs using type-specific prefixes.
Locally generated IDs therefore use the matching prefix plus a
hyphenated UUIDv7, keeping them valid while distinguishable from
server-generated IDs. Because this changes persisted history and
provider request shapes, the behavior is opt-in behind the
under-development `item_ids` feature. Compaction triggers remain request
controls whose API shape does not accept an ID.
## What changed
- Register the disabled-by-default `item_ids` feature and expose it in
`config.schema.json`.
- Make supported optional `ResponseItem` IDs serializable and expose
them in the generated app-server schemas.
- When `item_ids` is enabled, assign an ID during conversation-history
preparation if an item has no ID.
- Generate type-prefixed, hyphenated UUIDv7 IDs using the Responses API
item conventions.
- Preserve existing server IDs without rewriting them.
- Persist assigned IDs in rollouts and include them in subsequent
Responses requests.
- Remove the unsupported ID field from `CompactionTrigger` and document
why it has no ID.
- Add integration coverage for enabled ID persistence, preservation of
server IDs, and omission of generated IDs while the feature is disabled.
`prepare_conversation_items_for_history` is the single response-item ID
allocation boundary.
## Test plan
- `just test -p codex-features`
- `just test -p codex-core
response_item_ids_persist_across_resume_and_preserve_server_ids`
- `just test -p codex-core
non_openai_responses_requests_omit_item_turn_metadata`
- `just test -p codex-core
resize_all_images_prepares_failures_before_history_insertion`
- `just test -p codex-protocol`
- `just test -p codex-app-server-protocol`
- `just test -p codex-api azure_default_store_attaches_ids_and_headers`
## Why
The token-budget context currently identifies a context window by its
thread-local sequence number. A UUIDv7 gives the model a stable opaque
identity that remains fixed for a window and rotates when compaction or
`new_context` starts the next one.
## What changed
- Preserve the existing monotonic value as `window_number` and add a
UUIDv7 `window_id` to `CompactedItem`.
- Generate and rotate the UUID with auto-compaction window state,
persist it alongside the number, and reconstruct it on resume and
rollback.
- Accept legacy compacted rollout records where the numeric `window_id`
represented the window number.
- Use the UUID only in token-budget context; existing request headers
and metadata continue using `thread_id:window_number`.
## Testing
- `just test -p codex-protocol compacted_item::tests`
- `just test -p codex-core token_budget`
## Summary
- Preserve raw plugin skill-root snapshots in the matching loaded-plugin
cache entry, keyed by the effective plugin root identity including
namespace.
- Pass those snapshots through `SkillsLoadInput` as an optional preload,
so session startup reuses plugin parsing while ordinary skill loads pass
`None`.
- Keep plugin skill loading cohesive: the existing loaders accept the
optional snapshots directly, and uncached or marketplace-detail paths do
not create a cache.
## Why
Plugin discovery already parses plugin skills to determine available
capabilities. Cold session startup then scanned and parsed the same
roots again while building the skills snapshot.
This solves the same duplicate-work problem as #28623 while keeping
ownership narrow: `PluginsManager` creates and owns
`PluginSkillSnapshots` only for its loaded-plugin cache entry;
`SkillsService` consumes an optional clone. Entry replacement or
clearing naturally drops the snapshots, with no separate generation,
capacity policy, or watcher coupling.
## Validation
- `cargo clippy -p codex-core-skills --all-targets -- -D warnings`
- `just test -p codex-core-plugins
skills_service_reuses_skills_parsed_during_plugin_load`
- `just test -p codex-core-skills
namespaces_plugin_skills_using_provided_namespace`
- `just fmt`
pakrym-oai