## Stacked PRs
This work is now effectively split across two steps:
- #14178: add custom CA support for browser and device-code login flows,
docs, and hermetic subprocess tests
- #14239: extend that shared custom CA handling across Codex HTTPS
clients and secure websocket TLS
Note: #14240 was merged into this branch while it was stacked on top of
this PR. This PR now subsumes that websocket follow-up and should be
treated as the combined change.
Builds on top of #14178.
## Problem
Custom CA support landed first in the login path, but the real
requirement is broader. Codex constructs outbound TLS clients in
multiple places, and both HTTPS and secure websocket paths can fail
behind enterprise TLS interception if they do not honor
`CODEX_CA_CERTIFICATE` or `SSL_CERT_FILE` consistently.
This PR broadens the shared custom-CA logic beyond login and applies the
same policy to websocket TLS, so the enterprise-proxy story is no longer
split between “HTTPS works” and “websockets still fail”.
## What This Delivers
Custom CA support is no longer limited to login. Codex outbound HTTPS
clients and secure websocket connections can now honor the same
`CODEX_CA_CERTIFICATE` / `SSL_CERT_FILE` configuration, so enterprise
proxy/intercept setups work more consistently end-to-end.
For users and operators, nothing new needs to be configured beyond the
same CA env vars introduced in #14178. The change is that more of Codex
now respects them, including websocket-backed flows that were previously
still using default trust roots.
I also manually validated the proxy path locally with mitmproxy using:
`CODEX_CA_CERTIFICATE=~/.mitmproxy/mitmproxy-ca-cert.pem
HTTPS_PROXY=http://127.0.0.1:8080 just codex`
with mitmproxy installed via `brew install mitmproxy` and configured as
the macOS system proxy.
## Mental model
`codex-client` is now the owner of shared custom-CA policy for outbound
TLS client construction. Reqwest callers start from the builder
configuration they already need, then pass that builder through
`build_reqwest_client_with_custom_ca(...)`. Websocket callers ask the
same module for a rustls client config when a custom CA bundle is
configured.
The env precedence is the same everywhere:
- `CODEX_CA_CERTIFICATE` wins
- otherwise fall back to `SSL_CERT_FILE`
- otherwise use system roots
The helper is intentionally narrow. It loads every usable certificate
from the configured PEM bundle into the appropriate root store and
returns either a configured transport or a typed error that explains
what went wrong.
## Non-goals
This does not add handshake-level integration tests against a live TLS
endpoint. It does not validate that the configured bundle forms a
meaningful certificate chain. It also does not try to force every
transport in the repo through one abstraction; it extends the shared CA
policy across the reqwest and websocket paths that actually needed it.
## Tradeoffs
The main tradeoff is centralizing CA behavior in `codex-client` while
still leaving adoption up to call sites. That keeps the implementation
additive and reviewable, but it means the rule "outbound Codex TLS that
should honor enterprise roots must use the shared helper" is still
partly enforced socially rather than by types.
For websockets, the shared helper only builds an explicit rustls config
when a custom CA bundle is configured. When no override env var is set,
websocket callers still use their ordinary default connector path.
## Architecture
`codex-client::custom_ca` now owns CA bundle selection, PEM
normalization, mixed-section parsing, certificate extraction, typed
CA-loading errors, and optional rustls client-config construction for
websocket TLS.
The affected consumers now call into that shared helper directly rather
than carrying login-local CA behavior:
- backend-client
- cloud-tasks
- RMCP client paths that use `reqwest`
- TUI voice HTTP paths
- `codex-core` default reqwest client construction
- `codex-api` websocket clients for both responses and realtime
websocket connections
The subprocess CA probe, env-sensitive integration tests, and shared PEM
fixtures also live in `codex-client`, which is now the actual owner of
the behavior they exercise.
## Observability
The shared CA path logs:
- which environment variable selected the bundle
- which path was loaded
- how many certificates were accepted
- when `TRUSTED CERTIFICATE` labels were normalized
- when CRLs were ignored
- where client construction failed
Returned errors remain user-facing and include the relevant env var,
path, and remediation hint. That same error model now applies whether
the failure surfaced while building a reqwest client or websocket TLS
configuration.
## Tests
Pure unit tests in `codex-client` cover env precedence and PEM
normalization behavior. Real client construction remains in subprocess
tests so the suite can control process env and avoid the macOS seatbelt
panic path that motivated the hermetic test split.
The subprocess coverage verifies:
- `CODEX_CA_CERTIFICATE` precedence over `SSL_CERT_FILE`
- fallback to `SSL_CERT_FILE`
- single-cert and multi-cert bundles
- malformed and empty-file errors
- OpenSSL `TRUSTED CERTIFICATE` handling
- CRL tolerance for well-formed CRL sections
The websocket side is covered by the existing `codex-api` / `codex-core`
websocket test suites plus the manual mitmproxy validation above.
---------
Co-authored-by: Ivan Zakharchanka <[email protected]>
Co-authored-by: Codex <[email protected]>
## Why
to support a new bring your own search tool in Responses
API(https://developers.openai.com/api/docs/guides/tools-tool-search#client-executed-tool-search)
we migrating our bm25 search tool to use official way to execute search
on client and communicate additional tools to the model.
## What
- replace the legacy `search_tool_bm25` flow with client-executed
`tool_search`
- add protocol, SSE, history, and normalization support for
`tool_search_call` and `tool_search_output`
- return namespaced Codex Apps search results and wire namespaced
follow-up tool calls back into MCP dispatch
## What changed
- Drop failed websocket connections immediately after a terminal stream
error instead of awaiting a graceful close handshake before forwarding
the error to the caller.
- Keep the success path and the closed-connection guard behavior
unchanged.
## Why this fixes the flake
- The failing integration test waits for the second websocket stream to
surface the model error before issuing a follow-up request.
- On slower runners, the old error path awaited
`ws_stream.close().await` before sending the error downstream. If that
close handshake stalled, the test kept waiting for an error that had
already happened server-side and nextest timed it out.
- Dropping the failed websocket immediately makes the terminal error
observable right away and marks the session closed so the next request
reconnects cleanly instead of depending on a best-effort close
handshake.
## Code or test?
- This is a production logic fix in `codex-api`. The existing websocket
integration test already exercises the regression path.
Pass more params to /compact. This should give us parity with the
/responses endpoint to improve caching.
I'm torn about the MCP await. Blocking will give us parity but it seems
like we explicitly don't block on MCPs. Happy either way
- collect input/output transcript deltas into active handoff transcript
state
- attach and clear that transcript on each handoff, and regenerate
schema/tests
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
Include a link to a bug report or enhancement request.
add `web_search_tool_type` on model_info that can be populated from
backend. will be used to filter which models can use `web_search` with
images and which cant.
added small unit test.
## Summary
Add original-resolution support for `view_image` behind the
under-development `view_image_original_resolution` feature flag.
When the flag is enabled and the target model is `gpt-5.3-codex` or
newer, `view_image` now preserves original PNG/JPEG/WebP bytes and sends
`detail: "original"` to the Responses API instead of using the legacy
resize/compress path.
## What changed
- Added `view_image_original_resolution` as an under-development feature
flag.
- Added `ImageDetail` to the protocol models and support for serializing
`detail: "original"` on tool-returned images.
- Added `PromptImageMode::Original` to `codex-utils-image`.
- Preserves original PNG/JPEG/WebP bytes.
- Keeps legacy behavior for the resize path.
- Updated `view_image` to:
- use the shared `local_image_content_items_with_label_number(...)`
helper in both code paths
- select original-resolution mode only when:
- the feature flag is enabled, and
- the model slug parses as `gpt-5.3-codex` or newer
- Kept local user image attachments on the existing resize path; this
change is specific to `view_image`.
- Updated history/image accounting so only `detail: "original"` images
use the docs-based GPT-5 image cost calculation; legacy images still use
the old fixed estimate.
- Added JS REPL guidance, gated on the same feature flag, to prefer JPEG
at 85% quality unless lossless is required, while still allowing other
formats when explicitly requested.
- Updated tests and helper code that construct
`FunctionCallOutputContentItem::InputImage` to carry the new `detail`
field.
## Behavior
### Feature off
- `view_image` keeps the existing resize/re-encode behavior.
- History estimation keeps the existing fixed-cost heuristic.
### Feature on + `gpt-5.3-codex+`
- `view_image` sends original-resolution images with `detail:
"original"`.
- PNG/JPEG/WebP source bytes are preserved when possible.
- History estimation uses the GPT-5 docs-based image-cost calculation
for those `detail: "original"` images.
#### [git stack](https://github.com/magus/git-stack-cli)
- 👉 `1` https://github.com/openai/codex/pull/13050
- ⏳ `2` https://github.com/openai/codex/pull/13331
- ⏳ `3` https://github.com/openai/codex/pull/13049
- add a local Fast mode setting in codex-core (similar to how model id
is currently stored on disk locally)
- send `service_tier=priority` on requests when Fast is enabled
- add `/fast` in the TUI and persist it locally
- feature flag
- migrate the realtime websocket transport to the new session and
handoff flow
- make the realtime model configurable in config.toml and use API-key
auth for the websocket
---------
Co-authored-by: Codex <[email protected]>
- replace show_nux with structured availability_nux model metadata
- expose availability NUX data through the app-server model API
- update shared fixtures and tests for the new field
## Summary
- make `Config.model_reasoning_summary` optional so unset means use
model default
- resolve the optional config value to a concrete summary when building
`TurnContext`
- add protocol support for `default_reasoning_summary` in model metadata
## Validation
- `cargo test -p codex-core --lib client::tests -- --nocapture`
---------
Co-authored-by: Codex <[email protected]>
Send a request with `generate: falls` but a full set of tools and
instructions to pre-warm inference.
---------
Co-authored-by: Codex <[email protected]>
- Introduce `RealtimeConversationManager` for realtime API management
- Add `op::conversation` to start conversation, insert audio, insert
text, and close conversation.
- emit conversation lifecycle and realtime events.
- Move shared realtime payload types into codex-protocol and add core
e2e websocket tests for start/replace/transport-close paths.
Things to consider:
- Should we use the same `op::` and `Events` channel to carry audio? I
think we should try this simple approach and later we can create
separate one if the channels got congested.
- Sending text updates to the client: we can start simple and later
restrict that.
- Provider auth isn't wired for now intentionally
## Summary
- add realtime websocket client transport in codex-api
- send session.create on connect with backend prompt and optional
conversation_id
- keep session.update for prompt changes after connect
- switch inbound event parsing to a tagged enum (typed variants instead
of optional field bag)
- add a websocket e2e integration test in
codex-rs/codex-api/tests/realtime_websocket_e2e.rs
## Why
This moves the realtime transport to an explicit session-create
handshake and improves protocol safety with typed inbound events.
## Testing
- Added e2e integration test coverage for session create + event flow in
the API crate.
### Summary
Ensure that we use the model value from the response header only so that
we are guaranteed with the correct slug name. We are no longer checking
against the model value from response so that we are less likely to have
false positive.
There are two different treatments - for SSE we use the header from the
response and for websocket we check top-level events.
Add per-turn notice when a request is downgraded to a fallback model due
to cyber safety checks.
**Changes**
- codex-api: Emit a ServerModel event based on the openai-model response
header and/or response payload (SSE + WebSocket), including when the
model changes mid-stream.
- core: When the server-reported model differs from the requested model,
emit a single per-turn warning explaining the reroute to gpt-5.2 and
directing users to Trusted
Access verification and the cyber safety explainer.
- app-server (v2): Surface these cyber model-routing warnings as
synthetic userMessage items with text prefixed by Warning: (and document
this behavior).
### What
It's currently unclear when the harness falls back to the default,
generic `ModelInfo`. This happens when the `remote_models` feature is
disabled or the model is truly unknown, and can lead to bad performance
and issues in the harness.
Add a user-facing warning when this happens so they are aware when their
setup is broken.
### Tests
Added tests, tested locally.
# External (non-OpenAI) Pull Request Requirements
Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md
If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.
Include a link to a bug report or enhancement request.
Added multi-limit support end-to-end by carrying limit_name in
rate-limit snapshots and handling multiple buckets instead of only
codex.
Extended /usage client parsing to consume additional_rate_limits
Updated TUI /status and in-memory state to store/render per-limit
snapshots
Extended app-server rate-limit read response: kept rate_limits and added
rate_limits_by_name.
Adjusted usage-limit error messaging for non-default codex limit buckets
Summary
- add a `prefer_websockets` field to `ModelInfo`, defaulting to `false`
in all fixtures and constructors
- wire the new flag into websocket selection so models that opt in
always use websocket transport even when the feature gate is off
Testing
- Not run (not requested)
When communicating over websockets, we can't rely on headers to deliver
rate limit information. This PR adds a `codex.rate_limits` event that
the server can pass to the client to inform them about rate limit usage.
The client parses this data the same way we parse rate limit headers in
HTTP mode.
This PR also wires up the etag and reasoning headers for websockets
