Codex review: needs maintainer review before merge.

Workflow note: Future ClawSweeper reviews update this same comment in place.

Summary
The PR adds invalid OpenAI Responses encrypted-reasoning replay classification, a one-shot retry wrapper that drops replayable reasoning before visible output starts, focused regression tests, and a loopback HTTP proof script.

Reproducibility: yes. at source level: current main preserves same-model replayable Responses reasoning and turns a pre-start provider rejection into an assistant error event with no retry. I did not run live OpenAI or Slack in this read-only review.

PR rating
Overall: 🐚 platinum hermit
Proof: 🦞 diamond lobster
Patch quality: 🐚 platinum hermit
Summary: Good normal PR readiness: the implementation is focused and the terminal proof is useful, with remaining live-provider and channel-delivery uncertainty for maintainers to own.

Rank-up moves:

• none

Real behavior proof
Sufficient (terminal): The PR body includes terminal output from a committed proof script using the real OpenAI SDK HTTP transport against loopback /v1/responses and showing the failed request, retry payload, and recovered assistant text.

Risk before merge

• The retry deliberately drops replayable OpenAI Responses reasoning and keeps dropping it for later calls in the same wrapper after recovery, so an overly broad error match could reduce hidden session continuity for that active wrapper.
• The supplied proof exercises the real OpenAI SDK HTTP transport against a loopback endpoint, not live OpenAI or live Slack, so provider-specific encrypted-state behavior and channel-visible delivery remain maintainer-owned merge risk.

Maintainer options:

1. Accept Transport-Level Proof (recommended)
   Merge after ordinary maintainer review if the committed real-SDK loopback proof and regression tests are sufficient for this Responses replay path.
2. Ask For Live Continuation Proof
   Request redacted live OpenAI or channel logs showing one retry without duplicate or missing output if provider-backed evidence is required before merge.
3. Keep Slack Routing Separate
   Keep this PR scoped to Responses replay recovery and continue tracking Slack main/thread session routing in the linked issue.

Next step before merge
No narrow automated repair is indicated; maintainers need to decide whether the loopback real-SDK proof is enough for the session-state and message-delivery risk.

Security
Cleared: The diff touches agent runtime recovery, focused tests, and a local proof script; I found no new dependency, workflow, permission, secret, install, or supply-chain exposure.

@clawsweeper re-review

Added committed transport-level proof in src/agents/pi-embedded-runner/openai-responses-transport-replay-recovery.test.ts and updated the PR body with the command/results. The new test exercises createOpenAIResponsesTransportStreamFn() directly with a mocked OpenAI SDK, verifies the first Responses call rejects with thinking_signature_invalid, then verifies the retry drops replayed reasoning while preserving replayed message and recovers assistant text.

🦞🧹
ClawSweeper re-review requested.

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• Updated: 2026-05-19T20:51:12.360Z

@clawsweeper re-review

Added committed real-HTTP transport proof in scripts/proofs/openai-responses-replay-recovery.ts and updated the PR body with the terminal output. This proof uses the real OpenAI SDK HTTP transport plus the current OpenClaw Responses transport/recovery wrapper against a loopback /v1/responses endpoint: first request receives provider-shaped thinking_signature_invalid, retry drops replayed reasoning, preserves replayed message, consumes SSE, and returns assistant text.

🦞🧹
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@clawsweeper re-review

Rebased onto current origin/main (3c8050c44ca5e5eeb9ecc5bdce2fb412312e2b7e) and refreshed the PR body proof for current head 09f8de688fbfc88e49ac7dd3c27101a0b8a16142.

The previous CI failure was from upstream src/cli/update-cli/update-command.ts / src/infra/update-runner.ts type errors outside this PR diff. After rebasing, local validation passed:

node --import tsx scripts/proofs/openai-responses-replay-recovery.ts
# PASS

./node_modules/.bin/oxlint --tsconfig config/tsconfig/oxlint.scripts.json scripts/proofs/openai-responses-replay-recovery.ts
# 0 warnings, 0 errors

node scripts/run-vitest.mjs src/agents/pi-embedded-runner/openai-responses-transport-replay-recovery.test.ts
# 2 passed

node scripts/run-vitest.mjs src/agents/pi-embedded-runner/thinking.test.ts
# 33 passed

node scripts/run-vitest.mjs src/agents/pi-embedded-helpers.formatassistanterrortext.test.ts
# 64 passed

node scripts/run-tsgo.mjs -p tsconfig.core.json --incremental --tsBuildInfoFile .artifacts/tsgo-cache/core.tsbuildinfo
# passed

git diff --check
# passed

🦞🧹
ClawSweeper re-review requested.

I asked ClawSweeper to review this item again.
Action: item re-review queued (workflow sweep.yml, event repository_dispatch).
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• Updated: 2026-05-20T11:22:20.851Z

Cross-linking the Responses item-id coordination note from #85277:
#85277 (comment)

For this PR, the proposed final layering is that the retry still preserves visible assistant message content/phase, but after dropped/pruned reasoning it should not preserve a signed assistant message.id whose paired reasoning item is no longer replayed. With #85277 layered in, the retry payload should replay the visible message while omitting that stale signed id.

Suggested merge order from the coordination pass: #84904 -> #85277 -> #84267 -> #85362. When rebasing with #85362, the clean combined shape should keep one exported isOpenAIResponsesReasoningReplayInvalidErrorMessage helper and include invalid_encrypted_content in that helper so transport retry and session-reset classification share the same OpenAI Responses encrypted-content error contract.

Update from a fresh local validation on v2026.5.27:

The latest release appears to improve the operational failure mode: after this class of Responses failure, the Slack lane no longer remains stuck in processing. In my local repro, Gateway stayed healthy, Slack stayed connected/healthy, the run returned to idle, queueDepth=0, and there was no stale session lock.

The remaining user-visible gap still reproduces, though: the turn terminates before producing a reply instead of rebuilding context and retrying the same user message.

Sanitized signatures from the repro:

[responses] error ... status=400 code=thinking_signature_invalid
The encrypted content for item rs_… could not be verified. Reason: Encrypted content could not be decrypted or parsed.
Embedded agent failed before reply: LLM request failed: provider rejected the request schema or tool payload.
session.state outcome=idle reason=message_completed queueDepth=0

So v2026.5.27 appears to have moved this from “stuck lane” to “cleanly released failed turn”, but it still does not provide the bounded recovery behavior this PR is aiming at: detect stale Responses continuation state, drop stale replay/encrypted reasoning items for a replay-safe turn, rebuild from the visible transcript, and retry once so the user gets the final answer.

One local trigger that still makes this easy to reproduce is an OpenAI-compatible proxy with session affinity where a pinned auth can become temporarily unavailable and the proxy reselects auth. That can leave OpenClaw replaying encrypted reasoning / rs_* state that no longer verifies under the new upstream auth context. This comment is only about the OpenClaw-side recovery layer; no proxy/account/session identifiers are included.

Superseded by #92941, landed as 2a6eeceb40.

The landed fix handles thinking_signature_invalid at the owning OpenAI Responses transport boundary by reusing the existing bounded pre-stream encrypted-content retry. It strips only rejected encrypted_content while preserving replayed reasoning/message/function-call identifiers and ordering, rather than adding a second session-level stream wrapper and persistent recovery mode.

Proof included 367 focused OpenAI/Anthropic regressions, six official provider tool-call tests, an official GPT-5.5 encrypted-reasoning replay, AWS Crabbox check:changed, clean autoreview, and green exact-SHA CI. Thanks @tianxiaochannel-oss88 for isolating the error code and providing the provider-shaped proof that made the narrow fix possible.