fix(sessions): reconcile pending input appends - #4906
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The packaged compatibility assertion is now aligned, and both Linux packaged-contract checks pass. The runtime implementation and pending-input tests are unchanged, so the remaining requests still apply:
- Initialize a fresh
OpenAIConversationsSessionbefore reading its session ID. - Account for Conversations API message normalization when comparing recovery fingerprints.
- Accept SDK-generated local-shell replay items during pending-input deserialization.
- Capture the streamed result's checkpoint after the expected exception, and add a controlled test proving that input appended during an in-flight session write survives recovery.
These are still needed before merging.
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| valid_pending_input = pending_input_write is None or ( | ||
| (schema_major, schema_minor) >= (1, 18) and bool(validated_pending_input_write) | ||
| ) |
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Reject null pending-input ownership metadata
When a serialized 1.18 checkpoint explicitly contains "pending_input": null inside pending_session_write, this is None check treats the field as absent and accepts the malformed snapshot. During resume, the write is consequently reconciled as an ordinary output batch without consuming the top-level pending input; the normal admission path then persists that same input again, producing duplicate session history. Distinguish a missing key from an explicit null value and reject the latter during deserialization.
AGENTS.md reference: AGENTS.md:L102-L106
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| @@ -694,10 +713,15 @@ async def save_result_to_session( | |||
| "session_id": session.session_id, | |||
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Initialize lazy sessions before checkpointing their ID
When a paused run that did not previously use a session stages input and is resumed with a newly constructed OpenAIConversationsSession, reading session.session_id here raises ValueError because that backend initializes its ID only from an awaited history operation. The previous direct add_items() path performed that initialization, so this change prevents the staged input and model turn from running in this supported lazy-session case. Initialize the session before reading its ID, or obtain the ID through its asynchronous initialization path.
AGENTS.md reference: AGENTS.md:L102-L103
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| wrapper=wrapper, | ||
| resumed_write_state=run_state, | ||
| pending_input_snapshot=pending_input, |
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Refresh compaction ownership before re-appending pending input
When staged input is admitted through an OpenAIResponsesCompactionSession after a RunState JSON round-trip, the restored context wrapper has no _session_compaction_generation; the same stale state also occurs after a pre-commit append failure increments the wrapper's generation. This new route enters resume_pending_session_write(), whose initial/unchanged-tail paths do not publish the generation read from _get_items_with_generation() before calling _add_items_with_generation(). The append therefore returns None as its ownership generation, and subsequent response appends leave the wrapper at None, causing automatic run_compaction() to skip for the rest of the run. Capture the current generation before the pending-input append on every reconciled re-append path.
AGENTS.md reference: AGENTS.md:L102-L104
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Addressed all four requested follow-ups in commit
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| def _validate_pending_session_write_item(item: Any) -> TResponseInputItem: | ||
| """Validate a checkpoint item, including SDK-generated local-shell replay outputs.""" | ||
| try: | ||
| return _HANDOFF_OUTPUT_ADAPTER.validate_python(item) |
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Materialize pending computer-output iterables
When a resumable batch contains a computer_call_output with acknowledged_safety_checks—for example, after a resumed computer-tool turn's Session append loses its acknowledgement—this returns the raw TypeAdapter result. ComputerCallOutput declares that field as Iterable, and the existing _deserialize_tool_call_output_raw_item() path materializes it because Pydantic otherwise produces a one-shot ValidatorIterator; here the restored pending write is not JSON-serializable through to_string(), and its fingerprint cannot match the persisted list during reconciliation. Materialize this result with _to_dump_compatible and apply the same normalization to the direct pending-input validation path.
AGENTS.md reference: AGENTS.md:L102-L102
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| if pending_input is not None: | ||
| del run_state._pending_input[: len(pending_input)] |
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Re-admit input added during a successful session write
When another task calls RunState.add_input() while the initial pending-input add_items() is awaiting and that append succeeds, this deletion retains the newly added suffix, but admit_pending_input() returns only the pre-await admission items and both runner loops proceed directly to the model call without another guardrail or admission pass. If that model call produces final output, the suffix remains on a terminal state and is never sent to the model or persisted; re-check the remaining pending input before issuing the model request and cover the successful interleaving, not only the existing failed-append case.
AGENTS.md reference: AGENTS.md:L104-L104
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Audited against the current head 315b4bb3c1f92654e3da2e4b1cbb02d4af1e7319. This interleaving is addressed: both runner admission paths loop while _pending_input remains, so input appended during the awaited Session write is re-guardrailed and re-admitted before the model call. Commit 315b4bb3c1 also adds test_pending_input_added_during_successful_session_write_is_admitted, parameterized for streamed/non-streamed execution, with a blocked append and a concurrent RunState.add_input() to prove both inputs are persisted exactly once. No further code change is required for this finding.
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Addressed in 315b4bb3. The pending-input admission loops now re-read run_state._pending_input after each Session write, so input appended during a successful in-flight write is admitted (guardrails + persistence) before the model is called. The regression test covers both streaming and non-streaming paths and asserts both inputs persist exactly once.
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@codex address the latest P2 review finding on commit 78784a3: when RunState.add_input() races with a successful Session.add_items() for client-managed sessions, the surviving pending_input suffix must re-enter input guardrails/admission before the next model call. Please implement the minimal fix in src/agents/run_internal/run_loop.py and add a deterministic regression covering the successful in-flight Session write interleaving. Do not create a duplicate PR. |
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Audit of current head
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| ) | ||
| try: | ||
| state._pending_input = [ | ||
| _HANDOFF_OUTPUT_ADAPTER.validate_python(item) for item in pending_input_raw |
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Accept SDK local-shell outputs in staged input
When a caller stages a local_shell_call_output returned by RunResult.to_input_list() and round-trips the RunState before resuming, this adapter rejects the SDK-produced shape because its output is a string rather than the OpenAI input type's expected representation. The patch already adds _validate_pending_session_write_item() specifically to preserve this local-shell replay shape, but uses it only for the nested pending-write fields; use the same fallback for top-level pending_input so a previously accepted public SDK replay item remains restorable.
AGENTS.md reference: AGENTS.md:L102-L102
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Confirmed. The defect is in the top-level RunState restore path: it still validates pending_input directly with _HANDOFF_OUTPUT_ADAPTER, unlike the already-correct pending-session-write fields. Minimal fix:
state._pending_input = [
_validate_pending_session_write_item(item) for item in pending_input_raw
]Keep the existing ValidationError handling. Add a regression that restores a schema-valid checkpoint containing the SDK-produced local_shell_call_output shape (type, call_id, string output) in top-level pending_input and asserts it round-trips unchanged. I attempted to apply this directly to fix/issue-4775-pending-input-recovery, but the connected GitHub integration has no repository write permission (403), so I cannot push the code from this session.
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Follow-up audit of the current head I prepared the exact two-file patch. The connected GitHub integration currently has no repository write permission (403), so I cannot push the fix from this session. No unrelated code changes are proposed. |
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Auditoría de HEAD 315b4bb respecto de #4775:
- Las cuatro observaciones originales del maintainer están implementadas en commits posteriores: inicialización lazy de OpenAIConversationsSession; normalización de fingerprints de Conversations; deserialización de local_shell_call_output; y checkpoint/recovery del resultado streaming.
- Las observaciones P2 posteriores de Codex también están abordadas en el HEAD actual: rechazo de pending_input=null explícito; restauración de compaction generation; materialización de ComputerCallOutput.acknowledged_safety_checks; y re-admisión del input añadido durante un Session.add_items() exitoso.
- Verificación del último finding: run.py y run_internal/run_loop.py mantienen un ciclo mientras _pending_input siga presente, y tests incluyen la intercalación concurrente de add_input durante un append bloqueado, para streamed/non-streamed.
- El PR permanece OPEN y mergeable. No hay un nuevo CHANGES_REQUESTED sobre el HEAD actual; la única revisión formal CHANGES_REQUESTED es histórica (03:32 UTC), anterior a estas correcciones.
Conclusión: no identifico un bloqueo de código restante para #4775 en el HEAD actual. Solicito revisión del maintainer sobre el HEAD 315b4bb y, si CI/checks están verdes, proceder con el merge.
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Auditoría del HEAD actual 315b4bb para #4775: las cuatro objeciones originales del maintainer están implementadas, y también están implementadas las P2 posteriores detectadas por Codex (pending_input=null, lazy Conversations session_id, normalización de Conversations, local_shell replay, acknowledged_safety_checks, compaction generation y el race de RunState.add_input() durante un Session.add_items() exitoso). Verifiqué específicamente los caminos streamed/non-streamed: ambos vuelven a ejecutar guardrails/admission mientras _pending_input siga presente, y el commit actual añade una regresión determinista para esa intercalación. Conclusión de auditoría: no identifico actualmente un bloqueo de código restante para #4775 en este HEAD. El PR sigue OPEN y mergeable; la revisión CHANGES_REQUESTED del maintainer es anterior a estas correcciones. Queda la reevaluación del maintainer y la confirmación de CI/checks antes del merge. |
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Audited latest HEAD |
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Final audit on HEAD |
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Revalidation at current HEAD |
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| validated = _HANDOFF_OUTPUT_ADAPTER.validate_python(item) | ||
| except ValidationError: | ||
| validated = _LOCAL_SHELL_OUTPUT_ADAPTER.validate_python(item) | ||
| return cast(TResponseInputItem, _to_dump_compatible(validated)) |
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Preserve adapter metadata in restored pending input
When a caller stages an SDK-produced replay item from Chat Completions or LiteLLM that carries adapter-only provider_data (for example, signed thinking_blocks) and then round-trips the RunState, validating and dumping the item through the OpenAI TResponseInputItem adapter silently removes that extra metadata. This changes the next model input; after a lost-ack Session append, it also makes the restored checkpoint fingerprint differ from the already-persisted item, so reconciliation fails as ambiguous instead of resuming. Materialize iterable fields without replacing the original supported adapter metadata.
AGENTS.md reference: AGENTS.md:L102-L102
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Confirmed and reproduced by source inspection. This P2 is concrete: _validate_pending_session_write_item() validates the raw payload, then _to_dump_compatible() serializes only the OpenAI adapter's declared fields, so adapter-only provider_data from supported Chat Completions/LiteLLM replay inputs is lost. That can alter the next model input and break lost-ack fingerprint reconciliation.
Minimal safe fix: capture an explicitly present provider_data mapping/value from the raw mapping, validate the standard payload exactly as today (including the local-shell fallback), materialize the validated result, then restore a JSON-compatible copy of that original provider_data onto the dumped mapping. This preserves adapter metadata without weakening validation of the OpenAI payload. I also prepared a focused regression covering JSON + string RunState round-trips with signed thinking_blocks metadata.
The connected GitHub installation has push: false on both openai/openai-agents-python and the PR head fork, so I cannot push the patch from this session.
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Re-auditoría: el HEAD avanzó a 5c7106f y apareció una nueva P2 de Codex que sí es concreta y debe bloquear el cierre hasta corregirse. Finding: al restaurar top-level RunState.pending_input con un item producido por Chat Completions/LiteLLM que contiene provider_data (p.ej. thinking_blocks), _validate_pending_session_write_item() valida y luego materializa mediante _to_dump_compatible(), eliminando ese metadata extra. Esto puede cambiar el siguiente model input y hacer que el fingerprint del checkpoint ya no coincida con un item que el Session ya persistió, provocando una recuperación ambigua. La corrección mínima debe preservar provider_data soportado del raw mapping durante la materialización (sin relajar la validación del payload) y añadir una regresión de JSON round-trip que demuestre que provider_data queda intacto y que la reconciliación de un lost-ack sigue coincidiendo. Por coherencia, retiro mi afirmación anterior de que no quedaban defectos: después del nuevo commit, este P2 es un bloqueo técnico real. |
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Implementación del P2 actual (HEAD 5c7106f): preparé y publiqué un parche autocontenido en mi fork Commits:
La corrección mantiene la frontera de seguridad: primero valida el payload con los adapters existentes; después materializa los campos validados y reinyecta una copia segura de No pude escribir directamente sobre Después de aplicar ambos, reejecutar el test focalizado y CI antes de merge. |
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Follow-up implementation/audit: the P2 for adapter-only |
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@seratch Revalidated the latest HEAD |
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@codex review Final verification request for current HEAD |
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Cierre operativo actualizado sobre HEAD |
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Focused audit correction: I previously drifted into the unrelated Twin/A-B work. The target remains PR #4906 / issue #4775. I re-audited the current |
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Auditoría del head actual: sigue habiendo un P2 concreto que debe resolverse antes de considerar el PR listo para merge. La rehidratación de pending input puede perder provider_data adapter-only (p. ej. metadata de Chat Completions/LiteLLM como thinking_blocks) al pasar por _validate_pending_session_write_item() + _to_dump_compatible(). Eso puede alterar el siguiente model input y hacer que el fingerprint de un lost-ack ya persistido deje de coincidir. La corrección mínima propuesta en el hilo es preservar un provider_data explícitamente presente como mapping/valor JSON-compatible después de validar/materializar el payload estándar, sin debilitar la validación. Este punto está en el head actual y no debe tratarse como un comentario histórico/outdated.
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Corrección de auditoría: mi comentario anterior de las 04:56 ( |
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Acción final solicitada para cerrar #4775: el workflow |
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Auditoría final del HEAD actual b377972: confirmé que el P2 de provider_data ya está implementado en el PR. Preparé además una regresión reforzada en mi fork para cubrir el ciclo completo RunState restore + Session lost-ack + exactly-once persistence: commit da03237 preserva provider_data de forma JSON-safe; e9df904 cubre round-trip; dff075f cubre lost-ack y una sola persistencia. En el fork, la rama fix/4775-preserve-provider-data está 45 commits por delante de su main (89c02c8) por cambios concurrentes del fork, por lo que no recomiendo cherry-pick ciego de toda la rama; los tres commits anteriores son los parches aislados relevantes. El repo upstream mantiene push=false para esta integración. El bloqueo verificable del PR sigue siendo Tests #9503 = action_required y la revisión CHANGES_REQUESTED histórica de seratch; no hay evidencia de un defecto adicional en el HEAD actual. |
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Actionable closure path for #4906/#4775: current HEAD b377972 is code-audited with the requested fixes and focused regressions. The remaining CI blocker is Tests #9503 = |
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Additional clean-room validation prepared: in my admin fork, branch |
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Re-review request after final audit: HEAD b377972 contains the requested session recovery fixes, including lazy Conversations initialization, reconciliation normalization, local-shell replay acceptance, streaming checkpoint recovery, pending_input ownership, and provider_data preservation. I also prepared a clean validation branch from this exact HEAD with the additional lost-ack/provider_data regression (fork commit a65a8cc). Upstream Tests #9503 remains |
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Auditoría final del HEAD b377972dfc7d3154e6a11596b1bb0397decfc1ab para #4775: revalidé los hilos P2 contra el código actual. Los findings históricos sobre lazy Conversations, local-shell replay, provider_data, iterables de computer output y re-admisión concurrente están implementados y sus threads aparecen outdated. El finding de compaction generation sigue abierto/no-resuelto en el hilo, pero el HEAD actual captura y publica _session_compaction_generation tanto en la lectura inicial como en la reconciliación posterior antes del append, por lo que no encuentro un defecto de código actual que corregir ahí. No recomiendo otro cambio de implementación. El único gate verificable pendiente es el workflow Tests #9503 en estado action_required; hace falta aprobación de Actions/re-run y luego re-review del maintainer sobre este HEAD.
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Cierre operativo de #4775/#4906 tras auditoría del HEAD b377972: no encontré un defecto de código adicional; los P2 históricos están corregidos en el HEAD actual y el hilo de compaction-generation corresponde a código ya corregido, aunque su thread sigue sin resolver administrativamente. El único gate verificable pendiente es Actions |
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VISIBILITY / ACTION REQUIRED — #4775 / #4906 Estado auditado del HEAD BLOCKER ÚNICO: GitHub Actions ACCIÓN DE MAINTAINER: aprobar el workflow del fork ( Objetivo: cerrar #4775 y permitir el merge de #4906 una vez que CI y la re-review estén verdes. |
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@fscfede-beep Could you stop posting lots of comments this way? |
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Cierre de auditoría del HEAD b377972 para #4775. Validado contra el diff y los hilos actuales: los P2 históricos sobre lazy OpenAIConversationsSession, normalización de fingerprints, local-shell replay, materialización de iterables, re-admisión concurrente y preservación de provider_data quedaron atendidos en commits posteriores y sus threads aparecen outdated. El thread activo sobre compaction generation también queda cubierto por el HEAD actual: la ruta de lectura/reconciliación captura y publica _session_compaction_generation antes del append. Estado verificable ahora:
Por tanto no corresponde otro cambio de implementación ni un merge forzado. Gate de cierre restante: maintainer debe seleccionar “Approve workflows to run”, reejecutar Tests sobre b377972 y realizar la re-review final; con CI verde + aprobación, merge. |
Cierre técnico / estado de ejecución — HEAD b377972Auditoría de cierre realizada contra el HEAD actual y los findings acumulados de #4775.
Gate pendienteEsto queda bloqueado por GitHub Actions, no por una nueva modificación de código:
La integración conectada no dispone de autoridad para aprobar/re-ejecutar ese workflow administrativo. No se debe hacer merge mientras ese gate siga |
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Reviewed current HEAD b377972dfc7d3154e6a11596b1bb0397decfc1ab against the #4775 pending-input/session-recovery invariants and the previously reported findings. The current diff includes the lazy Conversations session initialization, canonicalized Conversations reconciliation, local-shell replay restoration, explicit-null ownership rejection, compaction-generation refresh, in-flight pending-input handling, and adapter-only provider_data preservation with focused regressions. I do not see a remaining concrete correctness blocker in the reviewed diff. This is a code-review result only; the current GitHub Actions run remains action_required, so CI and maintainer gates remain separate.
Summary
Fix pending-input Session appends so they use the existing fail-closed reconciliation checkpoint. A retry appends once after an atomic failure, recognizes a committed lost-ack append without duplicating it, consumes only the checkpoint-owned pending-input prefix, and preserves already-completed guardrail results.
The RunState schema is bumped to 1.18 for the new pending-input ownership metadata. Checkpoint restoration validates input items before Session I/O, and Conversations reconciliation uses the same persistence normalization as its stored batch.
Test plan
make typecheckuv run pytest -q tests/test_run_state_pending_input.py tests/test_run_impl_resume_paths.py tests/test_run_state.py tests/test_run_state_compatibility_corpus.py(710 passed)uv run ruff check src/agents/run_state.py src/agents/run_internal/session_persistence.py tests/test_run_state_pending_input.pygit init --initial-branch=main, which this host's Git does not support.Issue number
Closes #4775
Checks