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Drop unused snapshot text before the runtime notification queue and queue only checkpoint identity in ingestion. Coalesce repeated thread/turn signals through lifecycle processing, preserving completion ordering. Fixes pingdotgg#12883 Co-authored-by: Codex <noreply@openai.com> AI-Tool: OpenAI Codex AI-Harness: Codex agent runtime; specific integration/version not exposed AI-Host: T3 Code (user-confirmed) AI-Model: gpt-6-astra (GPT-6 Astra; user-confirmed) AI-Reasoning: medium (user-confirmed) AI-Contribution: Investigation, implementation, regression tests, automated verification, and drafting
ApprovabilityVerdict: Would Approve Macroscope's review found this PR approvable — This is a focused server-side memory and queueing fix that discards unused diff text and coalesces repeated signals, with targeted regression coverage and no schema or sensitive-path changes. An unresolved Medium-severity finding separately flags that global draining may delay unrelated diffs and lose placeholder checkpoints, so that risk remains an external blocker to resolve. Not approved because:
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Included review availability: This review used your included allowance. Your plan provides up to 10 included reviews per hour; 8 remain after this review. 📝 WalkthroughWalkthroughCodex diff notifications and provider diff signals now retain less diff data. Provider ingestion coalesces diff work by thread and turn and waits for lifecycle processing. The keyed coalescing worker adds a drain operation. ChangesDiff Queue Handling
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Bug fix · Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant detectProviderDiffRepository
participant processInput
participant recordProviderDiff
detectProviderDiffRepository->>processInput: enqueue diff input with completion Deferred
processInput->>recordProviderDiff: process diff
recordProviderDiff-->>processInput: finish lifecycle processing
processInput-->>detectProviderDiffRepository: complete Deferred
Merge Risk: ⚪ Minimal · up to This change reduces memory retained by queued Codex diff snapshots and coalesces repeated diff signals. No merge-blocking risk is evident from the supplied context. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@apps/server/src/orchestration/Layers/ProviderRuntimeIngestion.ts`:
- Line 2700: Replace the global `worker.drain` wait in the diff-processing flow
with an acknowledgement tied to the specific enqueued diff, and await that
acknowledgement before advancing. Ensure unrelated lifecycle events cannot delay
the diff’s processing or cause its checkpoint to be rejected after the turn
completes.
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apps/server/src/orchestration/Layers/ProviderRuntimeIngestion.test.tsapps/server/src/orchestration/Layers/ProviderRuntimeIngestion.tsapps/server/src/provider/Layers/CodexSessionRuntime.test.tsapps/server/src/provider/Layers/CodexSessionRuntime.tspackages/shared/src/KeyedCoalescingWorker.test.tspackages/shared/src/KeyedCoalescingWorker.ts
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Release the active diff key when its own lifecycle work finishes, even on failure, instead of waiting for unrelated lifecycle work to drain. Add a two-thread regression with a blocked lifecycle event. Co-authored-by: Codex <noreply@openai.com> AI-Tool: OpenAI Codex AI-Harness: Codex agent runtime; specific integration/version not exposed AI-Host: T3 Code (user-confirmed) AI-Model: not exposed for this follow-up session AI-Reasoning: not exposed for this follow-up session AI-Contribution: Review analysis, implementation, regression test, automated verification, and drafting
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Document the existing behavior without changing executable code. Co-authored-by: Codex <noreply@openai.com> Co-authored-by: Claude <noreply@anthropic.com> AI-Tool: OpenAI Codex AI-Harness: Codex harness (integration/version not exposed) AI-Host: T3 Code AI-Model: gpt-6-astra AI-Reasoning: medium AI-Contribution: JSDoc drafting, source-equivalence checks, targeted lint, diff checks, and PR update preparation AI-Tool: Claude Code AI-Harness: Claude Code CLI 2.1.283 invoked by Codex harness AI-Host: T3 Code via PowerShell AI-Model: claude-fable-5-1 AI-Reasoning: high AI-Contribution: Independent review, docstring wording improvements, and follow-up drafting
Co-authored-by: Codex <noreply@openai.com> Co-authored-by: Claude <noreply@anthropic.com> AI-Tool: OpenAI Codex AI-Harness: Codex harness (integration/version not exposed) AI-Host: T3 Code AI-Model: gpt-6-astra AI-Reasoning: medium AI-Contribution: Docstring drafting, source-equivalence checks, formatting, targeted lint, and publishing preparation AI-Tool: Claude Code AI-Harness: Claude Code CLI 2.1.283 invoked by Codex harness AI-Host: T3 Code via PowerShell AI-Model: claude-fable-5-1 AI-Reasoning: high AI-Contribution: Independent implementation and docstring review, follow-up drafting
Co-authored-by: Codex <noreply@openai.com> Co-authored-by: Claude <noreply@anthropic.com> AI-Tool: OpenAI Codex AI-Harness: Codex harness (integration/version not exposed) AI-Host: T3 Code AI-Model: gpt-6-astra AI-Reasoning: medium AI-Contribution: Docstring drafting, source-equivalence checks, formatting, targeted lint, and publishing preparation AI-Tool: Claude Code AI-Harness: Claude Code CLI 2.1.283 invoked by Codex harness AI-Host: T3 Code via PowerShell AI-Model: claude-fable-5-1 AI-Reasoning: high AI-Contribution: Independent implementation and docstring review, follow-up drafting
What Changed
Codex turn-diff text is dropped before the runtime's raw-notification queue. Ingestion keeps only checkpoint identity and time, and repeated signals for one thread and turn merge in the existing keyed worker.
A key stays active until its own lifecycle work finishes, so duplicates cannot pile up in the next queue. The diff worker is serial. A diff for another turn waits for that one item, not for the whole lifecycle queue.
The keyed worker gains an all-key
drainso the ingestion service keeps its deterministic drain. Native and canonical schemas are unchanged. The nativedifffield stays as an empty string. The diff also adds doc comments to functions in the touched files. They change no behavior.Why
Fixes #12883.
Provider diff ingestion records a placeholder checkpoint and never reads the snapshot text. With Git detection blocked, repeated snapshots kept unused strings in memory and queued one detection job each. One blocked update followed by 200 more produced 201 detection calls on the baseline. It now produces at most two.
Validation
CodexSessionRuntime.test.tsandProviderRuntimeIngestion.test.ts, plus threeKeyedCoalescingWorkertests.git diff --checkpass. The typecheck emitted Effect suggestions only.Limits: these are deterministic payload and queue tests on Windows, not a heap benchmark. No live provider or UI session was tested. No test covers a lifecycle backlog queued ahead of the active diff. Input-frame parsing, other queues, and durable file-change payloads are outside this change.
Checklist
Model: gpt-6-astra (reasoning medium, user-confirmed). Harness: OpenAI Codex in T3 Code. Integration and version were not exposed. Codex did the investigation, implementation, tests, automated checks, and doc comments. The session that made the acknowledgment change did not expose its model or effort.
Model: claude-fable-5-1 (effort high). Harness: Claude Code CLI 2.1.283 and 2.1.284, invoked by Codex through PowerShell. Reviewed the doc comments and drafted this description.
Human involvement: selected the issue, authorized the implementation, and requested and authorized the acknowledgment change and its push. Requested the doc comments and their review, and reviewed and approved the first doc-comment update. No manual testing or code review is claimed.
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Summary