## Summary
TL;DR: teaches `codex-rs` / app-server to request a desktop-provided
attestation token and attach it as `x-oai-attestation` on the scoped
ChatGPT Codex request paths.
## Details
This PR teaches the Codex app-server runtime how to request and attach
an attestation token. It does not generate DeviceCheck tokens directly;
instead, it relies on the connected desktop app to advertise that it can
generate attestation and then asks that app for a fresh header value
when needed.
The flow is:
1. The Codex desktop app connects to app-server.
2. During `initialize`, the app can advertise that it supports
`requestAttestation`.
3. Before app-server calls selected ChatGPT Codex endpoints, it sends
the internal server request `attestation/generate` to the app.
4. app-server receives a pre-encoded header value back.
5. app-server forwards that value as `x-oai-attestation` on the scoped
outbound requests.
The code in this repo is mostly protocol and runtime plumbing: it adds
the app-server request/response shape, introduces an attestation
provider in core, wires that provider into Responses / compaction /
realtime setup paths, and covers the intended scoping with tests. The
signed macOS DeviceCheck generation remains owned by the desktop app PR.
## Related PR
- Codex desktop app implementation:
https://github.com/openai/openai/pull/878649
## Validation
<details>
<summary>Tests run</summary>
```sh
cargo test -p codex-app-server-protocol
cargo test -p codex-core attestation --lib
cargo test -p codex-app-server --lib attestation
```
Also ran:
```sh
just fix -p codex-core
just fix -p codex-app-server
just fix -p codex-app-server-protocol
just fmt
just write-app-server-schema
```
</details>
<details>
<summary>E2E DeviceCheck validation</summary>
First validated the signed desktop app boundary directly: launched a
packaged signed `Codex.app`, sent `attestation/generate`, decoded the
returned `v1.` attestation header, and validated the extracted
DeviceCheck token with `personal/jm/verify_devicecheck_token.py` using
bundle ID `com.openai.codex`. Apple returned `status_code: 200` and
`is_ok: true`.
Then ran the fuller app + app-server flow. The packaged `Codex.app`
launched a current-branch app-server via `CODEX_CLI_PATH`, and a local
MITM proxy intercepted outbound `chatgpt.com` traffic. The app-server
requested `attestation/generate` from the real Electron app process, and
the intercepted `/backend-api/codex/responses` traffic included
`x-oai-attestation` on both routes:
```text
GET /backend-api/codex/responses Upgrade: websocket x-oai-attestation: present
POST /backend-api/codex/responses Upgrade: none x-oai-attestation: present
```
The captured header decoded to a DeviceCheck token that also validated
with Apple for `com.openai.codex` (`status_code: 200`, `is_ok: true`,
team `2DC432GLL2`).
</details>
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`ToolName::display()` made it too easy to flatten tool identity and
accidentally compare rendered strings. Tool identity should stay
structural until a legacy string boundary actually requires the
flattened spelling.
## What
- Removes `ToolName::display()` and relies on the existing `Display`
impl for messages and errors.
- Adds structural ordering for `ToolName` and uses it for
sorting/deduping deferred tools.
- Carries `ToolName` through tool/sandbox plumbing, flattening only at
legacy boundaries such as hook payloads, telemetry tags, and Responses
tool names.
- Updates MCP normalization tests to assert `ToolName` structure instead
of rendered strings.
## Testing
- `cargo test -p codex-mcp test_normalize_tools`
- `cargo test -p codex-core unavailable_tool`
- `just fix -p codex-protocol`
- `just fix -p codex-mcp`
- `just fix -p codex-core`
## Why
The earlier PRs add stdio transport support and the config-backed
environment provider, but the feature remains inert until normal Codex
entrypoints construct `EnvironmentManager` with enough context to
discover `CODEX_HOME/environments.toml`. This final stack PR activates
the provider while preserving the legacy `CODEX_EXEC_SERVER_URL`
fallback when no environments file exists.
**Stack position:** this is PR 5 of 5. It is the product wiring PR that
activates the configured environment provider added in PR 4.
## What Changed
- Thread `codex_home` into `EnvironmentManagerArgs`.
- Change `EnvironmentManager::new(...)` to load the provider from
`CODEX_HOME`.
- Preserve legacy behavior by falling back to
`DefaultEnvironmentProvider::from_env()` when `environments.toml` is
absent.
- Make `environments.toml`-backed managers start new threads with all
configured environments, default first, while keeping the legacy env-var
path single-default.
- Update the app-server, TUI, exec, MCP server, connector, prompt-debug,
and thread-manager-sample callsites to pass `codex_home` and handle
provider-loading errors.
## Self-Review Notes
- The multi-environment startup path is intentionally tied to the
`environments.toml` provider. Using `>1` configured environment as the
only signal would also expand the legacy `CODEX_EXEC_SERVER_URL`
provider because it keeps `local` addressable alongside `remote`.
- The startup environment list is still derived inside
`EnvironmentManager`; the provider only says whether its snapshot should
start new threads with all configured environments.
- The thread-manager sample was updated to pass the current
`ThreadManager::new(...)` installation id argument so the stack compiles
under Bazel.
## Stack
- 1. https://github.com/openai/codex/pull/20663 - Add stdio exec-server
listener
- 2. https://github.com/openai/codex/pull/20664 - Add stdio exec-server
client transport
- 3. https://github.com/openai/codex/pull/20665 - Make environment
providers own default selection
- 4. https://github.com/openai/codex/pull/20666 - Add CODEX_HOME
environments TOML provider
- **5. This PR:** https://github.com/openai/codex/pull/20667 - Load
configured environments from CODEX_HOME
Split from original draft: https://github.com/openai/codex/pull/20508
## Validation
- `just fmt`
- `git diff --check`
- `bazel build --config=remote --strategy=remote
--remote_download_toplevel
//codex-rs/thread-manager-sample:codex-thread-manager-sample`
- `bazel test --config=remote --strategy=remote
--remote_download_toplevel
//codex-rs/exec-server:exec-server-unit-tests`
- `bazel test --config=remote --strategy=remote
--remote_download_toplevel --test_sharding_strategy=disabled
--test_arg=default_thread_environment_selections_use_manager_default_id
//codex-rs/core:core-unit-tests`
- `bazel test --config=remote --strategy=remote
--remote_download_toplevel --test_sharding_strategy=disabled
--test_arg=start_thread_uses_all_default_environments_from_codex_home
//codex-rs/core:core-unit-tests`
## Documentation
This activates `CODEX_HOME/environments.toml`; user-facing documentation
should be added before this stack is treated as a documented public
workflow.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`/fast` was wired as a one-off slash command even though model metadata
now exposes service tiers as catalog data. That meant adding another
tier, such as a slower/cheaper tier, would require more hardcoded TUI
plumbing instead of letting the model catalog drive the available
commands.
This change makes service-tier commands data-driven: each advertised
`service_tiers` entry becomes a `/name` command using the catalog
description, while the request path sends the tier `id` only when the
selected model supports it.
## What Changed
- Removed the hardcoded `/fast` slash-command variant and introduced
dynamic service-tier command items in the composer and command popup.
- Added toggle behavior for service-tier commands: invoking `/name`
selects that tier, and invoking it again clears the selection.
- Preserved the existing Fast-mode keybinding/status affordances by
resolving the current model tier whose name is `fast`, while still
sending the tier request value such as `priority`.
- Persisted service-tier selections as raw request strings so non-fast
tiers can round-trip through config.
- Updated the Bedrock catalog entry to advertise fast support through
`service_tiers` with `id: "priority"` and `name: "fast"`.
- Added defensive filtering in core so unsupported selected service
tiers are omitted from `/responses` requests.
## Validation
- Added/updated coverage for dynamic service-tier slash command lookup,
popup descriptions, composer dispatch, TUI fast toggling, and
unsupported-tier omission in core request construction.
- Local tests were not run per request.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
Some consumers expect conventional hyphenated HTTP headers. Codex
already sends the session and thread IDs on outbound Responses requests,
but it only uses the underscore spellings today, which makes those IDs
harder to consume in systems that normalize or reject underscore header
names.
Full context here:
https://openai.slack.com/archives/C08KCGLSPSQ/p1778248578422369
## What changed
- `build_session_headers` now emits both `session_id` and `session-id`
when a session ID is present.
- It does the same for `thread_id` and `thread-id`.
- Added regression coverage in `codex-api/tests/clients.rs` and
`core/tests/suite/client.rs` so both the lower-level client tests and
the end-to-end request tests assert the two header spellings are
present.
## Test plan
- Added header assertions in `codex-api/tests/clients.rs`.
- Added request-header assertions in `core/tests/suite/client.rs` for
both the `/v1/responses` and `/api/codex/responses` request paths.
## Summary
- enable `apply_patch_freeform` by default in the feature registry
## Why
- make the freeform `apply_patch` tool available by default when model
metadata does not explicitly opt into another mode
## Validation
- `just fmt`
- did not run tests
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`service_tier` in `config.toml` and profile config was still modeled as
an enum, which blocked newer or experimental service tier IDs even
though the runtime paths already carry string IDs.
This change makes the TOML-facing config accept string service tier IDs
directly while keeping the legacy `fast` alias behavior by normalizing
it to the request value `priority`.
## What Changed
- change the TOML-facing `service_tier` fields in global and profile
config to `Option<String>`
- keep config-load normalization so legacy `fast` still resolves to
`priority`
- persist resolved service tier strings directly in config locks so
arbitrary IDs round-trip cleanly
- regenerate the config schema and add config coverage for arbitrary
string IDs plus legacy `fast` normalization
## Verification
- added config tests for arbitrary string service tiers and legacy
`fast` normalization
- ran `just write-config-schema`
- CI
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
API-key-auth remote compaction requests should not inherit
`service_tier` from normal `/responses` turns. This path needs to match
API auth expectations, while ChatGPT-auth remote compaction should keep
reusing the shared request fields that still apply there.
This change keeps the decision inline in
`codex-rs/core/src/compact_remote.rs` only. Under API key auth, the
classic remote `/responses/compact` path now omits `service_tier`; under
ChatGPT auth, it keeps reusing the configured tier.
`codex-rs/core/src/compact_remote_v2.rs` is unchanged. The remote
compaction parity coverage and snapshots were updated to assert the
API-key omission and preserve the ChatGPT-auth behavior.
## Testing
- Updated remote compaction parity coverage in
`codex-rs/core/tests/suite/compact_remote.rs` and the corresponding
snapshots.
## Why
We want terminal tool review analytics, but the reducer should not stamp
review timing from its own wall clock.
This PR plumbs review timing through the real protocol and app-server
seams so downstream analytics can consume the emitter's timestamps
directly. Guardian reviews keep their enriched `started_at` /
`completed_at` analytics fields by deriving those legacy second-based
values from the same protocol-native millisecond lifecycle timestamps,
rather than sampling a separate analytics clock.
## What changed
- add `started_at_ms` to user approval request payloads
- add `started_at_ms` / `completed_at_ms` to guardian review
notifications
- preserve Guardian review `started_at` / `completed_at` enrichment from
the protocol-native timing source
- stamp typed `ServerResponse` analytics facts with app-server-observed
`completed_at_ms`
- thread the new timing fields through core, protocol, app-server, TUI,
and analytics fixtures
## Verification
- `cargo test -p codex-app-server outgoing_message --manifest-path
codex-rs/Cargo.toml`
- `cargo test -p codex-app-server-protocol guardian --manifest-path
codex-rs/Cargo.toml`
- `cargo test -p codex-tui guardian --manifest-path codex-rs/Cargo.toml`
- `cargo test -p codex-analytics analytics_client_tests --manifest-path
codex-rs/Cargo.toml`
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/21434).
* #18748
* __->__ #21434
* #18747
* #17090
* #17089
* #20514
## Why
Remote compaction v2 consumes a normal Responses stream, but that
compaction-specific stream consumer dropped the `response.completed` id.
As a result, the `responses_websocket_response_processed` lifecycle
notification was emitted for normal turn sampling but not after a v2
remote compaction response was fully processed.
## What changed
- Return the completed response id alongside the v2 `context_compaction`
output item.
- After v2 compacted history is installed, send `response.processed`
through the same websocket session when the feature is enabled.
- Add websocket regression coverage for a remote compaction v2 request
followed by `response.processed`.
## Verification
- `cargo test -p codex-core --test all
responses_websocket_sends_response_processed_after_remote_compaction_v2
-- --nocapture`
- `cargo test -p codex-core
collect_context_compaction_output_accepts_additional_output_items --
--nocapture`
## Why
After stdio transports and provider-owned defaults exist, Codex needs a
config-backed provider that can describe more than the single legacy
`CODEX_EXEC_SERVER_URL` remote. This PR adds that provider without
activating it in product entrypoints yet, keeping parser/validation
review separate from runtime wiring.
**Stack position:** this is PR 4 of 5. It builds on PR 3's
provider/default model and adds the `environments.toml` provider used by
PR 5.
## What Changed
- Add `environment_toml.rs` as the TOML-specific home for parsing,
validation, and provider construction.
- Keep the TOML schema/provider structs private; the public constructor
added here is `EnvironmentManager::from_codex_home(...)`.
- Add `TomlEnvironmentProvider`, including validation for:
- reserved ids such as `local` and `none`
- duplicate ids
- unknown explicit defaults
- empty programs or URLs
- exactly one of `url` or `program` per configured environment
- Support websocket environments with `url = "ws://..."` / `wss://...`.
- Support stdio-command environments with `program = "..."`.
- Add helpers to load `environments.toml` from `CODEX_HOME`, but do not
wire entrypoints to call them yet.
- Add the `toml` dependency for parsing.
## Stack
- 1. https://github.com/openai/codex/pull/20663 - Add stdio exec-server
listener
- 2. https://github.com/openai/codex/pull/20664 - Add stdio exec-server
client transport
- 3. https://github.com/openai/codex/pull/20665 - Make environment
providers own default selection
- **4. This PR:** https://github.com/openai/codex/pull/20666 - Add
CODEX_HOME environments TOML provider
- 5. https://github.com/openai/codex/pull/20667 - Load configured
environments from CODEX_HOME
Split from original draft: https://github.com/openai/codex/pull/20508
## Validation
Not run locally; this was split out of the original draft stack.
## Documentation
This introduces the config shape for `environments.toml`; user-facing
documentation should be added before this stack is treated as a
documented public workflow.
---------
Co-authored-by: Codex <noreply@openai.com>
Route view_image through selected environments so image reads use the selected turn environment and cwd, with schema exposure limited to multi-environment toolsets.\n\nCo-authored-by: Codex <noreply@openai.com>
Remove the remote thread-store backend and checked-in protobuf
artifacts. We've moved these into another crate that link against this
one.
Also remove the config settings for thread store backend selection,
since we'll instead pass an instantiated thread store into the core-api
crate's main entrypoint.
Add Codex config for static trace span attributes and structured W3C
tracestate field upserts. The config flows through OtelSettings so
callers can attach trace metadata without touching every span call site.
Apply span attributes with an SDK span processor so every exported
trace span carries the configured metadata. Model tracestate as nested
member fields so configured keys can be upserted while unrelated
propagated state in the same member is preserved.
Validate configured tracestate before installing provider-global state,
including header-unsafe values the SDK does not reject by itself. This
keeps Codex from propagating malformed trace context from config.
Update the config schema, public docs, and OTLP loopback coverage for
config parsing, span export, propagation, and invalid-header rejection.
## Summary
`cargo test` has entails both running standard Rust tests and doctests.
It turns out that the doctest discovery is fairly slow, and it's a cost
you pay even for crates that don't include any doctests.
This PR disables doctests with `doctest = false` for crates that lack
any doctests.
For the collection of crates below, this speeds up test execution by
>4x.
E.g., before this PR:
```
Benchmark 1: cargo test -p codex-utils-absolute-path -p codex-utils-cache -p codex-utils-cli -p codex-utils-home-dir -p codex-utils-output-truncation -p codex-utils-path -p codex-utils-string -p codex-utils-template -p codex-utils-elapsed -p codex-utils-json-to-toml
Time (mean ± σ): 1.849 s ± 4.455 s [User: 0.752 s, System: 1.367 s]
Range (min … max): 0.418 s … 14.529 s 10 runs
```
And after:
```
Benchmark 1: cargo test -p codex-utils-absolute-path -p codex-utils-cache -p codex-utils-cli -p codex-utils-home-dir -p codex-utils-output-truncation -p codex-utils-path -p codex-utils-string -p codex-utils-template -p codex-utils-elapsed -p codex-utils-json-to-toml
Time (mean ± σ): 428.6 ms ± 6.9 ms [User: 187.7 ms, System: 219.7 ms]
Range (min … max): 418.0 ms … 436.8 ms 10 runs
```
For a single crate, with >2x speedup, before:
```
Benchmark 1: cargo test -p codex-utils-string
Time (mean ± σ): 491.1 ms ± 9.0 ms [User: 229.8 ms, System: 234.9 ms]
Range (min … max): 480.9 ms … 512.0 ms 10 runs
```
And after:
```
Benchmark 1: cargo test -p codex-utils-string
Time (mean ± σ): 213.9 ms ± 4.3 ms [User: 112.8 ms, System: 84.0 ms]
Range (min … max): 206.8 ms … 221.0 ms 13 runs
```
Co-authored-by: Codex <noreply@openai.com>
- Route ThreadManager rollout-path resume/fork through ThreadStore
history reads.
- Add in-memory store coverage proving path-addressed reads are used.
This isn't strictly necessary for the ThreadStore migration, since these
ThreadManager methods _only_ work for path-based lookups, but I'm trying
to migrate all the rollout recorder callsites to use the threadstore
were possible for consistency.
- Route live thread renames through `ThreadStore` metadata updates.
- Read resumed thread names from store metadata with legacy local
fallback preserved in the store.
## Why
This is the next stacked step after deleting the tool-handler kind
indirection. Specs should come from the registered handlers themselves
so registry construction has a single source of truth for handler
behavior and exposed tool definitions.
## What changed
- Added `ToolHandler::spec()` plus handler-provided parallel/code-mode
metadata, and made `ToolRegistryBuilder::register_handler` automatically
collect specs from registered handlers.
- Moved builtin tool spec construction into the corresponding handlers
and their adjacent `_spec` modules, including shell, unified exec, apply
patch, view image, request plugin install, tool search, MCP resource,
goals, planning, permissions, agent jobs, and multi-agent tools.
- Reworked configurable handlers to receive their tool-building options
through constructors, with non-optional handler options where the
handler is always spec-backed. Shell fallback handlers keep an explicit
no-spec mode because they are also registered as hidden dispatch
aliases.
- Kept `CodeModeExecuteHandler` on the explicit configured wrapper so
the code-mode exec spec can still be built from the nested registry.
## Verification
- `cargo check -p codex-core`
- `cargo test -p codex-core tools::spec_plan::tests`
- `cargo test -p codex-core tools::spec::tests`
- `cargo test -p codex-core tools::handlers::multi_agents_spec::tests`
- `RUST_MIN_STACK=16777216 cargo test -p codex-core
tools::handlers::multi_agents::tests`
- `cargo test -p codex-core tools::handlers::apply_patch::tests`
- `cargo test -p codex-core tools::handlers::unified_exec::tests`
- `just fix -p codex-core`
- `git diff --check`
## Why
App-server config writes were leaving existing threads partially stale.
After a config mutation, the app-server told each live thread to run
`Op::ReloadUserConfig`, but that path only re-read the user
`config.toml` layer. Settings that came from the app-server's
materialized config snapshot did not propagate to existing threads until
restart.
This change prevent a FS access from `core` for CCA.
## What changed
- add `CodexThread::refresh_runtime_config()` and
`Session::refresh_runtime_config()` so the app-server can push a freshly
rebuilt config snapshot into a live thread
- rebuild the latest config with each thread's `cwd` after config
mutations, then refresh the thread from that snapshot instead of asking
it to reload only `config.toml`
- keep session-static settings unchanged during refresh, while updating
runtime-refreshable state such as the config layer stack,
`tool_suggest`, and derived hook/plugin/skill state
- keep `reload_user_config_layer()` as the file-backed fallback for
legacy local reload flows, but route the shared refresh logic through
the new runtime refresh path
## Testing
- add a session test that verifies `refresh_runtime_config()` rebuilds
hooks from refreshed config
- add a session test that verifies runtime-refreshable fields update
while session-static settings like `model` and `notify` stay unchanged
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
This PR removes the synthetic `HashMap<String, ToolInfo>` keys from MCP
tool discovery. `McpConnectionManager::list_all_tools()` now returns
normalized `Vec<ToolInfo>`, and downstream code derives identity from
`ToolInfo::canonical_tool_name()`.
The motivation is to keep model-visible tool identity on
`ToolName`/`ToolInfo` instead of parallel string map keys, so future
namespace changes do not have to preserve otherwise-unused lookup keys.
## Changes
- Rename the MCP normalization path from `qualify_tools` to
`normalize_tools_for_model` and return tool values directly.
- Flow MCP tool lists through connectors, plugin injection, router/spec
building, code mode, and tool search as vectors/slices.
- Keep direct/deferred subtraction local to `mcp_tool_exposure`, using
`ToolName` values.
- Update tests to compare `ToolName` instances where MCP identity
matters.
## Validation
- `cargo test -p codex-mcp test_normalize_tools`
- `cargo test -p codex-core mcp_tool_exposure`
- `cargo test -p codex-core
direct_mcp_tools_register_namespaced_handlers`
- `cargo test -p codex-core
search_tool_registers_namespaced_mcp_tool_aliases`
- `just fix -p codex-mcp`
- `just fix -p codex-core`
## Why
Follow-up to #21180: turn diffs are operation-backed now, but a failed
`apply_patch` can still leave exact filesystem mutations behind. For
example, a move can write the destination file before failing to remove
the source. Treating the whole call as unknowable then drops a change
that Codex actually knows happened, so the emitted turn diff can drift
from the workspace.
## What changed
-
[`apply-patch`](f55724e027/codex-rs/apply-patch/src/lib.rs (L248-L345))
now returns `ApplyPatchFailure` with the exact committed prefix
accumulated before an error. If a write failure may already have mutated
the target, the delta is marked inexact instead of being reused blindly.
- Move handling now records the destination write before attempting
source removal, so a partially failed move can still report the
destination file that definitely landed
([code](f55724e027/codex-rs/apply-patch/src/lib.rs (L463-L521))).
-
[`ApplyPatchRuntime`](f55724e027/codex-rs/core/src/tools/runtimes/apply_patch.rs (L49-L67))
now accumulates committed deltas across attempts and forwards them even
when the visible tool result is failed or sandbox-denied ([runtime
path](f55724e027/codex-rs/core/src/tools/runtimes/apply_patch.rs (L223-L250)),
[event
path](f55724e027/codex-rs/core/src/tools/events.rs (L215-L225))).
- `TurnDiffTracker` now consumes committed exact deltas rather than only
fully successful patches; exact-empty failures leave the aggregate
unchanged, while inexact deltas still invalidate it.
## Verification
- Added a regression test covering a failed move that still emits the
committed destination diff:
[`apply_patch_failed_move_preserves_committed_destination_diff`](f55724e027/codex-rs/core/tests/suite/apply_patch_cli.rs (L1517-L1586)).
- Kept explicit coverage that an inexact delta clears the aggregate
instead of publishing a guessed diff:
[`apply_patch_clears_aggregated_diff_after_inexact_delta`](f55724e027/codex-rs/core/tests/suite/apply_patch_cli.rs (L1589-L1655)).
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
- replace filesystem-based turn diff tracking with an operation-backed
accumulator
- preserve enough verified apply_patch state to render move-overwrite
cases correctly
- keep the turn/diff/updated contract intact while removing remote-only
turn-diff test skips
This takes the assumption that no 3P services rely on the output format
of `apply_patch`
## Why
For the CCA file system isolation push
---------
Co-authored-by: Codex <noreply@openai.com>
## DISCLAIMER
This is experimental and no production service must rely on this
## Why
Built-in MCPs are product-owned runtime capabilities, but they were
previously flattened into the same config-backed stdio path as
user-configured servers. That made them depend on a hidden `codex
builtin-mcp` re-exec path, exposed them through config-oriented CLI
flows, and erased distinctions the runtime needs to preserve—most
notably whether an MCP call should count as external context for
memory-mode pollution.
## What changed
- Model product-owned built-ins separately from config-backed MCP
servers via `BuiltinMcpServer` and `EffectiveMcpServer`.
- Launch built-ins in process through a reusable async transport instead
of the hidden `builtin-mcp` stdio subcommand.
- Keep config-oriented CLI operations such as `codex mcp
list/get/login/logout` scoped to configured servers, while merging
built-ins only into the effective runtime server set.
- Retain server metadata after launch so parallel-tool support and
context classification come from the live server set; built-in
`memories` is now classified as local Codex state rather than external
context.
## Test plan
- `cargo test -p codex-mcp`
- `cargo test -p codex-core --test suite
builtin_memories_mcp_call_does_not_mark_thread_memory_mode_polluted_when_configured`
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
Reverts #20689 to restore the previous optional state DB plumbing. The
conflict resolution keeps the newer installation ID and session/thread
identity changes that landed after #20689, while removing the mandatory
state DB and agent graph store dependency from ThreadManager
construction.
## What changed
- Restored `Option<StateDbHandle>` through app-server, MCP server,
prompt debug, and test entry points.
- Removed the `codex-core` dependency on `codex-agent-graph-store` and
reverted descendant lookup back to the existing state DB path when
available.
- Kept newer `installation_id` forwarding by passing it beside the
optional DB handle.
- Kept local thread-name updates working when the optional state DB
handle is absent.
## Validation
- `git diff --check`
- `cargo test -p codex-thread-store`
- `cargo test -p codex-state -p codex-rollout -p
codex-app-server-protocol`
- Attempted `env CARGO_INCREMENTAL=0 cargo test -p codex-core -p
codex-app-server -p codex-app-server-client -p codex-mcp-server -p
codex-thread-manager-sample -p codex-tui`; blocked locally by a rustc
ICE while compiling `v8 v146.4.0` with `rustc 1.93.0 (254b59607
2026-01-19)` on `aarch64-apple-darwin`.
## Summary
Add `openai-developers@openai-curated` to
`TOOL_SUGGEST_DISCOVERABLE_PLUGIN_ALLOWLIST` so the OpenAI Developers
plugin can be surfaced through tool suggestions once it is available in
the Built by OpenAI marketplace.
Update the discoverable plugin test fixture to assert the plugin is
returned from the curated marketplace allowlist path.
## Validation
- `cargo fmt --check` passed; rustfmt emitted the existing
stable-channel warnings about `imports_granularity`.
- `cargo test -p codex-core
list_tool_suggest_discoverable_plugins_returns_uninstalled_curated_plugins`
passed.
## Why
The spec split in the parent PR still left an intermediate registry plan
that recorded `ToolHandlerKind` values and translated them into concrete
handlers later. That kept tool registration dependent on static enum
bookkeeping instead of registering handlers from the same code that
assembles their specs.
## What Changed
- Make `build_tool_registry_builder` register concrete handlers directly
while adding specs.
- Add small `ToolRegistryBuilder` helpers for spec augmentation and
nested code-mode inspection.
- Remove `ToolHandlerKind`, `ToolHandlerSpec`, and `ToolRegistryPlan`.
- Update spec-plan tests to assert against the built `ToolRegistry`
instead of static handler descriptors.
## Validation
- `cargo check -p codex-core`
- `cargo test -p codex-core tools::spec_plan::tests`
- `cargo test -p codex-core tools::spec::tests`
- `just fix -p codex-core`
Based on work from Vincent K -
https://github.com/openai/codex/pull/19060
<img width="1836" height="642" alt="CleanShot 2026-04-29 at 20 47 40@2x"
src="https://github.com/user-attachments/assets/b647bb89-65fe-40c8-80b0-7a6b7c984634"
/>
## Why
Compaction rewrites the conversation context that future model turns
receive, but hooks currently have no deterministic lifecycle point
around that rewrite. This adds compact lifecycle hooks so users can
audit manual and automatic compaction, surface hook messages in the UI,
and run post-compaction follow-up without overloading tool or prompt
hooks.
## What Changed
- Added `PreCompact` and `PostCompact` hook events across hook config,
discovery, dispatch, generated schemas, app-server notifications,
analytics, and TUI hook rendering.
- Added trigger matching for compact hooks with the documented `manual`
and `auto` matcher values.
- Wired `PreCompact` before both local and remote compaction, and
`PostCompact` after successful local or remote compaction.
- Kept compact hook command input to lifecycle metadata: session id,
Codex turn id, transcript path, cwd, hook event name, model, and
trigger.
- Made compact stdout handling consistent with other hooks: plain stdout
is ignored as debug output, while malformed JSON-looking stdout is
reported as failed hook output.
- Added integration coverage for compact hook dispatch, trigger
matching, post-compact execution, and the audited behavior that
`decision:"block"` does not block compaction.
## Out of Scope
- Hook-specific compaction blocking is not implemented;
`decision:"block"` and exit-code-2 blocking semantics are intentionally
unsupported for `PreCompact`.
- Custom compaction instructions are not exposed to compact hooks in
this PR.
- Compact summaries, summary character counts, and summary previews are
not exposed to compact hooks in this PR.
## Verification
- `cargo test -p codex-hooks`
- `cargo test -p codex-core
manual_pre_compact_block_decision_does_not_block_compaction`
- `cargo test -p codex-app-server hooks_list`
- `cargo test -p codex-core config_schema_matches_fixture`
- `cargo test -p codex-tui hooks_browser`
## Docs
The developer documentation for Codex hooks should be updated alongside
this feature to document `PreCompact` and `PostCompact`, the
`manual`/`auto` matcher values, and the compact hook payload fields.
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
## Why
This is the first mechanical slice of moving tool spec ownership toward
the handlers. `codex-tools` should keep shared primitives and conversion
helpers, while builtin tool specs and registration planning live in
`codex-core` with the handlers that own those tools.
Keeping this PR to relocation and import updates isolates the copy/move
review from the later logic change that wires specs through registered
handlers.
## What changed
- Moved builtin tool spec constructors from `codex-rs/tools/src` into
`codex-rs/core/src/tools/handlers/*_spec.rs` or nearby core tool
modules.
- Moved the registry planning code into
`codex-rs/core/src/tools/spec_plan.rs` and its associated types/tests
into core.
- Kept shared primitives in `codex-tools`, including `ToolSpec`,
schema/types, discovery/config primitives, dynamic/MCP conversion
helpers, and code-mode collection helpers.
- Updated handlers that referenced moved argument types or tool-name
constants to use the core spec modules.
- Moved spec tests next to the moved spec modules.
## Verification
- `cargo check -p codex-tools`
- `cargo check -p codex-core`
- `cargo test -p codex-tools`
- `cargo test -p codex-core _spec::tests`
- `cargo test -p codex-core tools::spec_plan::tests`
- `just fix -p codex-tools`
- `just fix -p codex-core`
Note: I also tried the broader `cargo test -p codex-core tools::`; it
reached the moved spec-plan/spec tests successfully, then aborted with a
stack overflow in
`tools::handlers::multi_agents::tests::tool_handlers_cascade_close_and_resume_and_keep_explicitly_closed_subtrees_closed`,
which is outside this spec relocation.
## Why
Skills update notifications are app-server API behavior, but the watcher
lived in `codex-core` and surfaced through
`EventMsg::SkillsUpdateAvailable`. Moving the watcher out keeps core
focused on thread execution and lets app-server own both cache
invalidation and the `skills/changed` notification.
## What changed
- Added an app-server-owned skills watcher that watches local skill
roots, clears the shared skills cache, and emits `skills/changed`
directly.
- Registers skill watches from the common app-server thread listener
attach path, including direct starts, resumes, and app-server-observed
child or forked threads.
- Stores the `WatchRegistration` on `ThreadState`, so listener
replacement, thread teardown, idle unload, and app-server shutdown
deregister by dropping the RAII guard.
- Removed `EventMsg::SkillsUpdateAvailable`, the core watcher, and the
old core live-reload test.
- Extended the app-server skills change test to verify a cached skills
list is refreshed after a filesystem change without forcing reload.
## Validation
- `cargo check -p codex-core -p codex-app-server -p codex-mcp-server -p
codex-rollout -p codex-rollout-trace`
- `cargo test -p codex-app-server
skills_changed_notification_is_emitted_after_skill_change`
## Summary
- document that commit attribution for generated git commit messages is
gated by the `codex_git_commit` feature flag
- add an example `config.toml` snippet showing `commit_attribution` with
`[features].codex_git_commit = true`
- update the config schema description so the reference docs explain
that `commit_attribution` only takes effect when the feature is enabled
Fixes#19799.
## Validation
- `cargo run -p codex-core --bin codex-write-config-schema`
- `cargo test -p codex-config`
- `cargo test -p codex-features`
- `cargo fmt --check`
- `git diff --check`
## Notes
- `cargo test -p codex-core config_schema_matches_fixture` currently
fails before reaching the schema test because `core_test_support`
imports `similar` without a linked crate in this checkout. The narrower
package checks above avoid that unrelated test-support build failure.
## Why
Several tool handler modules still bundled multiple `ToolHandler`
implementations in one file. That made the handler directory harder to
navigate and made otherwise local handler edits land in large shared
modules.
## What
- Split grouped tool handlers into one handler file each for agent jobs,
goals, MCP resources, shell tools, and unified exec.
- Kept shared parsing, payload, and runtime helpers in the existing
parent modules, with re-exports preserving the existing handler import
paths.
- Updated the shell handler tests to construct `ShellCommandHandler`
through the existing `ShellCommandBackendConfig` conversion now that the
backend detail lives with the shell-command handler.
## Validation
- `cargo check -p codex-core`
- `cargo clippy -p codex-core --lib -- -D warnings`
- `git diff --check -- codex-rs/core/src/tools/handlers`
Targeted `codex-core` handler tests did not run locally because
`core_test_support` currently fails to compile before reaching these
tests due to an unresolved `similar` import.
## Summary
- make resolved turn environment shell metadata optional instead of
hard-coding bash
- render environment context shells from explicit environment metadata
when present, falling back to the existing session shell
- update environment context tests for inherited PowerShell-style
fallback and explicit per-environment shell override
## Testing
- Not run (not requested; formatted with `just fmt`).
Co-authored-by: Codex <noreply@openai.com>
`codex exec` should not print OpenTelemetry exporter self-diagnostics to
stderr by default. Suppress the SDK and OTLP exporter targets unless
callers
explicitly opt in with `RUST_LOG`.
Also stop defaulting the trace exporter to the log exporter, since OTLP
HTTP
endpoints are signal-specific and a logs endpoint is not valid for
spans.
Co-authored-by: Codex <noreply@openai.com>
Co-authored-by: Codex <noreply@openai.com>
# Motivation
Browser Use origin-access prompts are MCP elicitations, not direct
tool-call approval prompts, so they were bypassing the Guardian approval
path. We need a generic opt-in that lets eligible MCP elicitations use
Guardian when the current turn already routes approvals there.
# Description
Add a generic elicitation reviewer hook in codex-mcp and wire codex-core
to pass a Guardian reviewer callback when creating the MCP connection
manager. The reviewer validates explicit mcp_tool_call opt-in metadata,
builds a Guardian MCP tool-call review request from
server/tool/connector metadata and tool params, and maps Guardian
approval, denial, timeout, and cancellation decisions back to MCP
elicitation responses.
The new option to trigger this in the `_meta` object is:
```
"codex_request_type": "approval_request",
```
# Testing
- RUST_MIN_STACK=8388608 NEXTEST_STATUS_LEVEL=leak cargo nextest run
--no-fail-fast --cargo-profile ci-test --test-threads 2
- cargo clippy --tests -- -D warnings
- cargo fmt -- --config imports_granularity=Item --check
- cargo shear
- pnpm run format
- python3 .github/scripts/verify_cargo_workspace_manifests.py
- python3 .github/scripts/verify_tui_core_boundary.py
- python3 .github/scripts/verify_bazel_clippy_lints.py
- git diff --check
## Why
The core `Op::ListMcpTools` request path is no longer needed. Keeping it
around left a dead request/response surface alongside the app-server MCP
inventory APIs that own current server status listing.
## What Changed
- Removed `Op::ListMcpTools`, `EventMsg::McpListToolsResponse`, and the
core handler that built the MCP snapshot response.
- Removed the now-unused `codex-mcp` snapshot wrapper/export and passive
event handling arms in rollout and MCP-server consumers.
- Updated tests that used the old op as a synchronization hook to wait
on existing startup/skills events, and deleted the plugin test that only
exercised the removed listing op.
## Validation
- `cargo test -p codex-protocol`
- `cargo test -p codex-mcp`
- `cargo test -p codex-rollout -p codex-rollout-trace -p
codex-mcp-server`
- `cargo test -p codex-core --test all
pending_input::queued_inter_agent_mail`
- `cargo test -p codex-core --test all
rmcp_client::stdio_mcp_tool_call_includes_sandbox_state_meta`
- `cargo test -p codex-core --test all
rmcp_client::stdio_image_responses`
- `just fix -p codex-core -p codex-protocol -p codex-mcp -p
codex-rollout -p codex-rollout-trace -p codex-mcp-server`
## Summary
- Add a `response.processed` websocket request payload and sender for
Responses API websockets.
- Send `response.processed` from `try_run_sampling_request` after a
response completes, local turn processing succeeds, and the
session-owned feature flag is enabled.
- Add websocket coverage for both enabled and disabled feature-flag
behavior.
## Validation
- `just fmt`
- `cargo test -p codex-core response_processed`
- `cargo test -p codex-api responses_websocket`
- `cargo test -p codex-features
responses_websocket_response_processed_is_under_development`
- `git diff --check`
- `just fix -p codex-api -p codex-core -p codex-features`
- `git diff --check origin/main...HEAD`
## Why
Message history was implemented inside `codex-core` and surfaced through
core protocol ops and `SessionConfiguredEvent` fields even though the
current consumer is TUI-local prompt recall. That made core own UI
history persistence and exposed `history_log_id` / `history_entry_count`
through surfaces that app-server and other clients do not need.
This change moves message history persistence out of core and keeps the
recall plumbing local to the TUI.
## What changed
- Added a new `codex-message-history` crate for appending, looking up,
trimming, and reading metadata from `history.jsonl`.
- Removed core protocol history ops/events: `AddToHistory`,
`GetHistoryEntryRequest`, and `GetHistoryEntryResponse`.
- Removed `history_log_id` and `history_entry_count` from
`SessionConfiguredEvent` and updated exec/MCP/test fixtures accordingly.
- Updated the TUI to dispatch local app events for message-history
append/lookup and keep its persistent-history metadata in TUI session
state.
## Validation
- `cargo test -p codex-message-history -p codex-protocol`
- `cargo test -p codex-exec event_processor_with_json_output`
- `cargo test -p codex-mcp-server outgoing_message`
- `cargo test -p codex-tui`
- `just fix -p codex-message-history -p codex-protocol -p codex-core -p
codex-tui -p codex-exec -p codex-mcp-server`
## Summary
- resolve or inject the installation ID before core startup and pass it
through `ThreadManager`, `CodexSpawnArgs`, and `Session` as a plain
`String`
- keep child sessions on the parent installation ID instead of
rediscovering it inside core
- propagate installation ID startup failures in `mcp-server` instead of
panicking
## Why
Core was still touching the filesystem on the session startup path to
discover `installation_id`. This moves that work to the outer host
boundary so core no longer depends on `codex_home` reads during session
construction.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
`/responses/compact` should preserve the request-affinity fields that
apply to the active auth mode. ChatGPT-auth compact requests need the
effective `service_tier`, and compact requests for every auth mode need
the stable `prompt_cache_key`, so compaction does not quietly lose
routing or cache behavior that normal sampling already has.
This follows the request-parity direction from #20719, but keeps the net
change focused on the compact payload fields needed here.
## What changed
- Add `service_tier` and `prompt_cache_key` to the compact endpoint
input payload.
- Build the remote compact payload from the existing responses request
builder output so `Fast` still maps to `priority` when compact sends a
service tier.
- Pass the turn service tier into remote compaction, but only include it
in compact payloads for ChatGPT-backed auth.
- Keep `prompt_cache_key` on compact payloads for all auth modes.
- Add request-body diff snapshot coverage in
`core/tests/suite/compact_remote.rs` for:
- API-key auth reusing `prompt_cache_key` while omitting `service_tier`
even when `Fast` is configured.
- ChatGPT auth reusing both `service_tier` and `prompt_cache_key`.
- Drive the snapshot coverage through five varied turns: plain text,
multi-part text, tool-call continuation, image+text input, local-shell
continuation, and final-turn reasoning output.
## Verification
- Added insta snapshots for compact request-body parity against the last
normal `/responses` request after five varied turns.
- Not run locally per repo guidance; relying on GitHub CI for test
execution.
---------
Co-authored-by: Codex <noreply@openai.com>
## Why
MCP tool calls already include `session_id` in `x-codex-turn-metadata`,
but descendant threads intentionally share that value with the root
thread. Consumers that need to correlate work at the concrete thread
level also need the current `thread_id`.
## What changed
- add `thread_id` to `x-codex-turn-metadata` while preserving
`session_id` as the shared session identity
- thread the two identities separately through normal turns and spawned
review threads
- add regression coverage for resumed sessions, reserved metadata
fields, and deferred MCP tool calls
## Verification
- added focused coverage in `core/src/session/tests.rs`,
`core/src/turn_metadata_tests.rs`, and `core/tests/suite/search_tool.rs`
## Summary
Related to
https://openai.slack.com/archives/C095U48JNL9/p1777537279707449
TLDR:
We update the meaning of session ids and thread ids:
* thread_id stays as now
* session_id become a shared id between every thread under a /root
thread (i.e. every sub-agent share the same session id)
This PR introduces an explicit `SessionId` and threads it through the
protocol/client boundary so `session_id` and `thread_id` can diverge
when they need to, while preserving compatibility for older serialized
`session_configured` events.
---------
Co-authored-by: Codex <noreply@openai.com>
