## Why
`openai/openai#947613` adds `X-Codex-Rate-Limit-Reached-Type` for Codex
workspace credit-depletion and spend-cap responses. The CLI currently
reads the adjacent promo header but otherwise renders generic
usage-limit copy, so those responses do not explain the
workspace-specific action the user needs to take.
Backend dependency: https://github.com/openai/openai/pull/947613
## What Changed
- Parse `X-Codex-Rate-Limit-Reached-Type` in the usage-limit error
handling path alongside `x-codex-promo-message`.
- Keep the header value parsing with the shared `RateLimitReachedType`
enum.
- Carry the parsed type on `UsageLimitReachedError` and render
client-owned copy for the four workspace owner/member credit and
spend-cap values.
- Preserve existing promo and plan-based text for absent, generic, or
unknown header values.
- Keep the existing TUI workspace-owner nudge state path unchanged; the
response header only selects the displayed error string.
- Add focused display coverage for all specific type values and the
generic fallback case.
## Test Plan
- Added `usage_limit_reached_error_formats_rate_limit_reached_types`
coverage.
- Not run manually, per request; CI runs validation on the pushed
commit.
## Why
Remote compaction currently sends a unary `POST /responses/compact` and
waits for the full response before replacing history or emitting the
completed `ContextCompaction` item. Unlike normal `/responses` streaming
requests, this unary compact request had no timeout boundary. If the
backend accepts the request and then stalls before returning a body, the
existing request retry policy never sees a transport error, so the
compact turn can remain stuck after the started item with no completion
or actionable error.
That matches the reported hang shape in issues such as #18363, where
logs show `responses/compact` was posted but no corresponding compact
completion followed. A bounded request timeout gives the existing retry
policy a concrete timeout error to retry instead of letting the user sit
indefinitely on automatic context compaction.
## What
- Add a request timeout to legacy `/responses/compact` calls.
- Size that timeout from the provider stream idle timeout with a
conservative multiplier, so the default compact attempt gets 20 minutes
rather than the 5 minute stream idle window.
- Map API transport timeouts to a request timeout error instead of the
child-process timeout message.
## Testing
- Not run (per request; CI will cover).
## Why
`features.multi_agent_v2.max_concurrent_threads_per_session` is meant to
be the MultiAgentV2-specific session thread cap: it counts the root
thread and all open subagent threads. The previous implementation kept
this surface tied to `agents.max_threads`, which made it a global
subagent-only cap and allowed the legacy setting to coexist with
MultiAgentV2.
## What Changed
- Added `max_concurrent_threads_per_session` to
`[features.multi_agent_v2]` with default `4`.
- Removed the `[agents] max_concurrent_threads_per_session` alias to
`agents.max_threads`.
- When MultiAgentV2 is enabled, reject `agents.max_threads` and derive
the existing internal subagent slot limit as
`max_concurrent_threads_per_session - 1`.
- Regenerated `core/config.schema.json` and added coverage for the new
config semantics.
## Result
```
➜ codex git:(jif/clean-multi-agent-v2-config) codex -c features.multi_agent_v2.enabled=true -c features.multi_agent_v2.max_concurrent_threads_per_session=3
╭────────────────────────────────────────────────────╮
│ >_ OpenAI Codex (v0.0.0) │
│ │
│ model: gpt-5.5 xhigh fast /model to change │
│ directory: ~/code/codex │
╰────────────────────────────────────────────────────╯
Tip: Update Required - This version will no longer be supported starting May 8th. Please upgrade to the latest version (https://github.com/openai/codex/releases/latest) using your preferred package manager.
› Can you try to spawn 4 agents
• I’ll try to start four lightweight agents at once and report exactly what the runtime accepts.
• Spawned Russell [no-apps] (gpt-5.5 xhigh)
└ Spawn probe 1: reply briefly that you started, then wait for further instructions. Do not do any repo work.
• Spawned Descartes [no-apps] (gpt-5.5 xhigh)
└ Spawn probe 2: reply briefly that you started, then wait for further instructions. Do not do any repo work.
• Agent spawn failed
└ Spawn probe 3: reply briefly that you started, then wait for further instructions. Do not do any repo work.
• Agent spawn failed
└ Spawn probe 4: reply briefly that you started, then wait for further instructions. Do not do any repo work.
• The runtime accepted the first two and rejected the next two with agent thread limit reached. I’m checking whether the two accepted probes have returned cleanly, then I’ll close them if needed.
```
---------
Co-authored-by: Codex <noreply@openai.com>
Addresses #17353
Problem: Codex rate-limit fetching failed when the backend returned the
new `prolite` subscription plan type.
Solution: Add `prolite` to the backend/account/auth plan mappings, keep
unknown WHAM plan values decodable, and regenerate app-server plan
schemas.
## Summary
- split `models-manager` out of `core` and add `ModelsManagerConfig`
plus `Config::to_models_manager_config()` so model metadata paths stop
depending on `core::Config`
- move login-owned/auth-owned code out of `core` into `codex-login`,
move model provider config into `codex-model-provider-info`, move API
bridge mapping into `codex-api`, move protocol-owned types/impls into
`codex-protocol`, and move response debug helpers into a dedicated
`response-debug-context` crate
- move feedback tag emission into `codex-feedback`, relocate tests to
the crates that now own the code, and keep broad temporary re-exports so
this PR avoids a giant import-only rewrite
## Major moves and decisions
- created `codex-models-manager` as the owner for model
cache/catalog/config/model info logic, including the new
`ModelsManagerConfig` struct
- created `codex-model-provider-info` as the owner for provider config
parsing/defaults and kept temporary `codex-login`/`codex-core`
re-exports for old import paths
- moved `api_bridge` error mapping + `CoreAuthProvider` into
`codex-api`, while `codex-login::api_bridge` temporarily re-exports
those symbols and keeps the `auth_provider_from_auth` wrapper
- moved `auth_env_telemetry` and `provider_auth` ownership to
`codex-login`
- moved `CodexErr` ownership to `codex-protocol::error`, plus
`StreamOutput`, `bytes_to_string_smart`, and network policy helpers to
protocol-owned modules
- created `codex-response-debug-context` for
`extract_response_debug_context`, `telemetry_transport_error_message`,
and related response-debug plumbing instead of leaving that behavior in
`core`
- moved `FeedbackRequestTags`, `emit_feedback_request_tags`, and
`emit_feedback_request_tags_with_auth_env` to `codex-feedback`
- deferred removal of temporary re-exports and the mechanical import
rewrites to a stacked follow-up PR so this PR stays reviewable
## Test moves
- moved auth refresh coverage from `core/tests/suite/auth_refresh.rs` to
`login/tests/suite/auth_refresh.rs`
- moved text encoding coverage from
`core/tests/suite/text_encoding_fix.rs` to
`protocol/src/exec_output_tests.rs`
- moved model info override coverage from
`core/tests/suite/model_info_overrides.rs` to
`models-manager/src/model_info_overrides_tests.rs`
---------
Co-authored-by: Codex <noreply@openai.com>
dhruvgupta-oai ·
jif-oai ·
Eric Traut ·
Ahmed Ibrahim ·