Model-driving ACP snapshot scenarios ship both `session.jsonl` and `session.golden.jsonl`. For normal recorded scenarios, `session.jsonl` is the replay fixture harvested from a real run, and the replay test normalizes the newly persisted log and compares it to `session.golden.jsonl`. In the current fixtures, the normalized recorded log and normalized golden are identical for the ordinary recorded scenarios.
Authored override scenarios (`error-finish`, `cancel`) currently use `replay.override.json` to drive model behavior and keep `session.jsonl` as a minimal dummy fixture, while `session.golden.jsonl` holds the expected persisted log. The override file is a JSON array of `ReplayEntry` objects: `{ "kind": "chunks", "chunks": StreamChunk[] }`, `{ "kind": "throw", "chunks": StreamChunk[], "message": string, "code": string, "status"?: number }`, or `{ "kind": "hang" }`. That split is also unnecessary: when an override sidecar exists, `llm-replay` replaces the derived script and does not need `session.jsonl` for model chunks, so `session.jsonl` can still be the expected session-log artifact for the scenario.
Remove the `session.golden.jsonl` concept entirely. Every scenario has at most one committed session-log artifact, `session.jsonl`:
- For recorded scenarios, `session.jsonl` remains the raw harvested log. Replay still derives model chunks from it, and the snapshot test compares the replay run's normalized persisted log against normalized `session.jsonl`.
- For authored override scenarios, `replay.override.json` drives model behavior and `session.jsonl` holds the expected produced session log. The replay adapter ignores the fixture for model chunks when the override exists, so the same file can be the expected log without affecting replay behavior.
- For no-model scenarios, `session.jsonl` can stay as the minimal fixture needed to boot `llm-replay`; no session-log comparison is needed unless the scenario creates a persisted session.
Reviewers lose one artifact name that made the expected persisted log visually separate from the replay fixture. The stdout golden still protects the editor transcript, and comparing replay output to `session.jsonl` preserves the loop/persistence regression check without duplicating files.
The comparison normalizes BOTH sides, but each against its OWN volatile values, not a shared context. A raw harvested `session.jsonl` bakes in the recording run's session id, cwd, and timestamps; the replay run produces fresh ones. `normalizeSessionLog` scrubs cwd by exact string match, so normalizing the fixture against the *replay* run's cwd would leave the recorded cwd in the header unscrubbed and the compare would fail. The harness therefore derives the fixture's normalize context from its OWN header line (`{ type:'session', id, cwd }`) — `fixtureContext()` in `acp.snapshot.ts` — so both sides scrub to the same `{{sessionId}}`/`{{cwd}}` tokens. An authored fixture copied from the old golden already carries the normalized header (`id:'{{sessionId}}'`, `cwd:'{{cwd}}'`), which yields those tokens as the volatile values and scrubs idempotently. The session-log side uses a plain normalized-string `toEqual`, NOT `toMatchFileSnapshot`, so a run never overwrites the fixture.
