For Japanese version, see IKernelReplayer-jp.md.

IKernelReplayer (Kernel Replay Specification)

1. Responsibility Boundary

IKernelReplayer deterministically reconstructs historical executions from replay dumps for auditability, debugging, and regression verification.

• Role:

Validate replayability, orchestrate replay execution, and return reconstructed results.

• Non-role:

Dump persistence and audit storage are delegated to other components.

2. Contract Signature

namespace AIKernel.Abstractions.Execution;\n\npublic interface IKernelReplayer\n{\n    ValueTask<ExecutionResult> ReplayAsync(\n        ReplayDump replayDump,\n        TraceContext traceContext,\n        CancellationToken cancellationToken = default);\n\n    bool CanReplay(ReplayDump replayDump);\n}

3. Related Use Cases

• UC-20 Deterministic replay and audit trail:

Rebuilds execution context and reasoning timeline for explainability.

• UC-03 Routing verification:

Re-evaluates historical route decisions against preserved baseline conditions.

4. Governance & Determinism

• Full fidelity:

Same ReplayDump under same replay conditions must converge to equivalent ExecutionResult.

• Time freezing:

Replay should freeze clock/RNG and other non-deterministic inputs to dump-captured values.

• External isolation:

Avoid live API dependency during replay; prefer dump-sourced provider evidence.

5. Exception Contract

The interface does not hard-code exception types, but current contract comments indicate:

• ArgumentNullException:

Required arguments are missing.

• InvalidOperationException:

Dump integrity validation fails.

6. Implementation Notes

• Version compatibility:

CanReplay should strictly verify schema/engine compatibility before execution.

• Security:

Apply signature and access checks when loading replay artifacts.

• Replay scope:

This interface is not intended to reproduce the internal LLM inference algorithm itself (or freeze every probabilistic micro-variance). Its guarantee is that runtime context composition, pipeline traversal order, and per-step data transformations follow the same logical path as recorded evidence.

Changelog

• v0.0.0 / v0.0.0.0: Initial draft
• v0.0.1 (2026-05-06): Version upgrade aligned with documentation guidelines