# Deterministic AI Artifact Replay

## Module
AdvisoryAI

## Status
VERIFIED

## Description
Deterministic replay infrastructure for AI artifacts including replay manifests, prompt template versioning, and input artifact hashing for reproducible AI outputs.

## Implementation Details
- **Modules**: `src/AdvisoryAI/StellaOps.AdvisoryAI/Replay/`, `src/Attestor/__Libraries/StellaOps.Attestor.ProofChain/Replay/`
- **Key Classes**:
  - `AIArtifactReplayer` (`src/AdvisoryAI/StellaOps.AdvisoryAI/Replay/AIArtifactReplayer.cs`) - replays AI artifacts with deterministic inputs for verification
  - `ReplayInputArtifact` (`src/Attestor/__Libraries/StellaOps.Attestor.ProofChain/Replay/ReplayInputArtifact.cs`) - input artifact model with content-addressed hashing
  - `ReplayPromptTemplate` (`src/Attestor/__Libraries/StellaOps.Attestor.ProofChain/Replay/ReplayPromptTemplate.cs`) - versioned prompt templates for replay
  - `ReplayResult` (`src/Attestor/__Libraries/StellaOps.Attestor.ProofChain/Replay/ReplayResult.cs`) - replay execution result with comparison data
  - `ReplayVerificationResult` (`src/Attestor/__Libraries/StellaOps.Attestor.ProofChain/Replay/ReplayVerificationResult.cs`) - verification of replay output against original
  - `ReplayStatus` (`src/Attestor/__Libraries/StellaOps.Attestor.ProofChain/Replay/ReplayStatus.cs`) - replay status tracking
  - `DeterministicHashVectorEncoder` (`src/AdvisoryAI/StellaOps.AdvisoryAI/Vectorization/DeterministicHashVectorEncoder.cs`) - deterministic hash-based vector encoding for reproducibility
- **Interfaces**: None (uses concrete replay pipeline)
- **Source**: Feature matrix scan

## E2E Test Plan
- [ ] Record an AI inference run and verify `AIArtifactReplayer` can replay it with identical inputs
- [ ] Verify `ReplayInputArtifact` computes content-addressed hashes that match across replay invocations
- [ ] Verify `ReplayPromptTemplate` versioning: replay with a v1 template produces the same output as the original v1 run
- [ ] Verify `ReplayVerificationResult` detects differences when the replay output diverges from the original
- [ ] Verify `DeterministicHashVectorEncoder` produces identical vectors for identical inputs across runs
- [ ] Verify replay with temperature=0 and fixed seed produces bit-identical outputs for supported providers

## Verification
- Verified on 2026-02-11 via `run-001`.
- Tier 0: `docs/qa/feature-checks/runs/advisoryai/deterministic-ai-artifact-replay/run-001/tier0-source-check.json`
- Tier 1: `docs/qa/feature-checks/runs/advisoryai/deterministic-ai-artifact-replay/run-001/tier1-build-check.json`
- Tier 2: `docs/qa/feature-checks/runs/advisoryai/deterministic-ai-artifact-replay/run-001/tier2-integration-check.json`