## Why
Multi-agent v2 communications currently use separate outbound paths:
direct messages, follow-up tasks, and completion results go through
`send_inter_agent_communication`, while a spawn's initial message goes
through the generic input submission path. That split makes it difficult
to add complete communication lifecycle logging in one place.
This refactor makes `submit_inter_agent_communication` the common sink
for those paths, preparing the follow-up observability work discussed in
[#30516](https://github.com/openai/codex/pull/30516).
## What changed
- Routed all current outbound `InterAgentCommunication` paths in
`AgentControl`—direct messages, follow-up tasks, completion results, and
multi-agent v2 spawn initial messages—through
`submit_inter_agent_communication`.
- Centralized the actual submission and last-task-message bookkeeping
there, providing one place for the follow-up PR to instrument
communication creation and successful enqueue.
- Left non-communication input handling and the multi-agent v1 spawn
flow unchanged.
## Testing
- `just test -p codex-core 'agent::control::tests::'` (51 passed)
- `just test -p codex-core
'suite::subagent_notifications::encrypted_multi_agent_v2_spawn_sends_agent_message_to_child'`
(passed)
---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/30867).
* #30872
* __->__ #30867
## Summary
- require a Pong within 60 seconds for established Noise Rendezvous
WebSockets on both the harness and executor
- bound steady-state WebSocket writes and harness event delivery so
backpressure cannot mask the deadline
- classify executor disconnects with bounded reasons and feed them into
the existing reconnect metric and structured log
- cover silent peers, responsive peers, continuous non-Pong traffic, and
local application backpressure
## Why
The existing periodic Pings did not track Pongs, so a half-open or
blackholed connection could remain stuck until the operating system's
TCP timeout. This adds the smallest explicit liveness contract without
new spans, RTT histograms, feature flags, or TCP diagnostics.
## Testing
- `just test -p codex-exec-server` on devbox `richard-6` — 300 passed, 2
skipped
- `just fix -p codex-exec-server`
- `just fmt`
- independent correctness, performance/security, and YAGNI reviews — no
findings
## Summary
The TUI biosafety block still included obsolete copy telling approved
researchers they may be able to apply for Trusted Access.
Remove that sentence and update the UI snapshot to match the approved
wording.
## Summary
Disable Nagle unconditionally for both exec-server Rendezvous WebSocket
connections.
- pass `disable_nagle=true` at the executor and harness connection call
sites
- keep the existing signed URL, protocol, and connection flow unchanged
- add no feature flag, rollout schema, path variant, or
experiment-specific telemetry
The companion internal PR enables `TCP_NODELAY` on accepted Rendezvous
sockets: https://github.com/openai/openai/pull/1082463
## Why
Rendezvous carries small, latency-sensitive relay and JSON-RPC frames.
Three staging runs of 30 steady-state `process/read` calls per
configuration measured p50 improving from 139.1 ms to 81.5 ms and p95
from 162.0 ms to 95.8 ms with Nagle disabled.
The expected packet overhead is small at the current connection scale.
We will use existing latency, error, packet, and CPU monitoring and
revert normally if production regresses.
## Rollout and rollback
The client and accepted-socket changes can deploy independently. New
connections receive the setting as each side deploys. Rollback is a
normal code revert; there is no persisted assignment or gate state to
unwind.
## Validation
- `just test -p codex-exec-server --lib`: 164 passed
- `just fix -p codex-exec-server`: passed
- `just fmt`: passed
- independent final review found no actionable issue
## Summary
AWS Bedrock issues currently fall under broader labels, which makes
provider-specific reports harder to find. The issue tracker now has an
`aws-bedrock` label, but the automated labeler does not know to apply
it.
Teach the issue labeler to select `aws-bedrock` for Amazon Bedrock
provider or Bedrock Mantle issues while excluding generic AWS
references.
## Summary
Bio/Cyber safety surfaces in the TUI could send users to stale Trusted
Access pages, and safety buffering did not always expose the Help
Center.
This follow-up to #30317 adds the missing Learn more action, refreshes
the Bio access URL and block copy, and updates the affected snapshots
while preserving the existing retry and wait behavior.
## Why
The Bedrock GPT-5.6 catalog advertises `max`, but Codex treated it as an
opaque custom effort. That made the reasoning picker render it as
lowercase `max` while known efforts use productized labels.
Making `max` a known effort aligns catalog data, parsing, and UI
presentation without changing the `max` wire value or persisted
representation.
## What changed
- Add first-class `ReasoningEffort::Max` parsing and serialization.
- Use the typed effort in the Bedrock catalog and render it as `Max` in
the TUI.
- Preserve forward-compatible custom-effort coverage with a genuinely
unknown `future` value.
### Before
<img width="559" height="124" alt="Screenshot 2026-06-28 at 12 08 47 PM"
src="https://github.com/user-attachments/assets/7c43cf4f-020b-4605-9239-0a9c97eb7364"
/>
### After
<img width="558" height="107" alt="Screenshot 2026-06-28 at 12 09 10 PM"
src="https://github.com/user-attachments/assets/b9cc5ded-c940-43b4-b024-bba25abe0a17"
/>
## Summary
- restore the v1 clarification that requests for depth, research, or
investigation do not authorize subagent spawning
- restore guidance for keeping critical-path, urgent, tightly coupled,
or difficult work local
- update the focused v1 tool-search and spawn-description coverage
## Why
PR #27919 simplified the v1 `spawn_agent` prompt by removing its
delegation decision guidance. That left the authorization rule intact,
but removed the instructions that constrained what should be delegated
after spawning was authorized.
Restore those guardrails while preserving later support for explicit
delegation authorization from applicable AGENTS.md and skill
instructions. Multi-agent v2 prompts are unchanged.
## User impact
Models using the v1 multi-agent tool surface receive clearer guidance to
delegate independent side work while keeping blocking work on the main
rollout.
## Validation
- `just fmt`
- `git diff --check`
- tests not run locally per repository guidance; CI will validate the
focused coverage
## Summary
- add a false-by-default `include_skills_usage_instructions` model
metadata field
- enable the field for the bundled `gpt-5.5` model metadata
- consume the metadata in both core and extension skill rendering
- remove hardcoded legacy-model matching and its marker plumbing
Michael Bolin