docs: tighten prose audit after master retarget

This commit is contained in:
Tianyi Cui
2026-07-13 16:24:32 +08:00
parent 17e04a1c70
commit c45d7927cf
192 changed files with 1047 additions and 4078 deletions

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@@ -4,7 +4,7 @@ Status: implemented
## Problem
The harness has two test tiers: keyless unit `.spec.ts` (the 100%-per-file coverage gate) and real-API `.e2e.ts` (key-gated, self-skipping in CI). Neither continuously verifies the **complete output transcript** an ACP editor (Zed) sees on its stdin/stdout. The existing ACP e2e ([examples/acp-agent/tests/acp.e2e.ts](../../../../examples/acp-agent/tests/acp.e2e.ts)) is the closest end-to-end check, but it is key-gated and asserts on a handful of *structured fields* (`stopReason`, a `tool_call` title), not the byte-for-byte stream of `session/update` frames. That leaves the "green units, broken product" gap: every unit test can pass while the actual editor-facing protocol output regresses — the same class of failure that shipped the inject bug ([docs/postmortem/0001](../../../postmortem/0001-acp-default-export-drops-inject.md)), where 178 hand-mounted tests stayed green while a real Zed session crashed instantly.
Unit tests do not exercise the complete ACP subprocess transcript, while real-API tests are nondeterministic and key-gated. Editor-facing `session/update` output can therefore regress despite green unit coverage, as the [default-export postmortem](../../../postmortem/0001-acp-default-export-drops-inject.md) demonstrated.
The blocker for a full-transcript test is the model: the agent's output is driven by a non-deterministic LLM, and a key-gated test that hits the real API on every run is neither deterministic nor CI-runnable. We want the fidelity of a real run with the determinism of a fixture.
@@ -12,17 +12,15 @@ This RFC records the decision to add a third test tier — **snapshot tests**
## Decision
A snapshot test boots the **real** `examples/acp-agent` subprocess, drives it over real ACP stdio with a deterministic input script, and diffs its (normalized) output against committed golden files. The model is made deterministic by **recording a real run's session log once** against the real API and **replaying it** on every subsequent run. The committed fixture IS the persisted session JSONL — the same append-only log the harness writes for any session.
A snapshot test boots the real ACP example, drives its stdio protocol from a deterministic script, and compares normalized output with committed goldens. A session log recorded once from the real API supplies all later model streams. The fixture is the product's ordinary persisted JSONL.
### The fixture is the persisted session JSONL
The per-scenario fixture is `<scenario>/session.jsonl`: the exact log produced by running the scenario once against the real API (the snapshot harness harvests the file the JSONL persistence backend writes). This log already contains everything needed to reproduce the run deterministically: its `assistant/chunk` events carry every parsed `StreamChunk` (the LLM's behavior), and its `tool/call`/`tool/result`/`turn/*`/`assistant/message` events carry the harness's behavior (token usage rides on `assistant/message.usage`). One artifact captures both, and it is the format the codebase already treats as the authoritative replay record ([packages/core/session/src/types.ts](../../../../packages/core/session/src/types.ts): "raw chunks are the replay record").
An earlier draft used a hand-authored `llm.json` of model chunks; reusing the real session log instead means the fixture is a genuine product of the system (not a hand-built mock), and it doubles as a behavioral golden (see below). A byte-level HTTP-record library (Polly/nock/MSW) was rejected: adapter-specific, awkward with streaming SSE, and lower-level than the thing under test.
Each scenario's `session.jsonl` is harvested from a real run. `assistant/chunk` events reproduce the model streams; tool, message, and boundary events capture the harness behavior. One ordinary session artifact therefore serves as both replay source and behavioral golden.
### Replay derives the model script from the log
The replay seam is the provider-agnostic `llm/stream` waterfall ([packages/llm/llm/src/index.ts](../../../../packages/llm/llm/src/index.ts)) — a single listener intercepts every model call regardless of adapter (deepseek, pi-ai), because the loop routes all model calls through `ctx.llm.stream()`. The `llm-replay` plugin short-circuits that waterfall (never calls `next()`) and serves back streams reconstructed from the log: `deriveReplayScript(events)` groups `assistant/chunk` events by `(turn, step)` in log order, yielding one model stream per group. This grouping is exact because the agent loop makes **exactly one `ctx.llm.stream()` call per step** and tags every chunk with the current `(turn, step)` ([packages/core/agent-loop/src/loop.ts](../../../../packages/core/agent-loop/src/loop.ts)): `step` increments once per loop iteration, so `(turn, step)` is unique per model call. A `finish {kind:'error'}` chunk is part of its group and replays naturally — no special-casing.
`llm-replay` short-circuits the provider-agnostic `llm/stream` waterfall. `deriveReplayScript()` groups recorded chunks by `(turn, step)` and serves one group per model call. The loop makes one stream call per step, so the grouping is exact and includes error finish chunks without special handling.
### The in-memory replay entry honors the full LLM contract
@@ -34,37 +32,36 @@ The replay seam is the provider-agnostic `llm/stream` waterfall ([packages/llm/l
| { kind: 'hang' }
```
`chunks` is what the log derives. The other two cover the LLM contract's failure branches the log **cannot** reconstruct from `assistant/chunk` alone: a *pure throw before any chunk* (e.g. an HTTP 401 — the log holds only a `turn/end {error}`, no chunks) and a *cancel/hang* (a timing behavior, not chunk content). A scenario needing those supplies an optional `<scenario>/replay.override.json` (a `ReplayEntry[]`) that **replaces** the derived script. The `throw` entry carries any prefix chunks so a mid-stream failure replays its partial output before throwing — the "honor cross-seam contracts on BOTH sides" defensive pattern. Synthesizing throw/cancel from the log's `turn/end {kind:error|aborted}` was rejected: it would couple `llm-replay` to loop-internal turn-closing semantics and the `turn/end` reason is lossy (it can't distinguish a thrown 401 from a finish-error). An explicit sidecar is the cleaner seam.
Logs derive chunk entries. Pre-stream throws and hangs have no reconstructable chunk representation, so those scenarios provide `replay.override.json`. A throw entry may include prefix chunks for mid-stream failure. Explicit overrides avoid inferring adapter behavior from lossy turn-end reasons.
### Positional replay, one in-flight stream
Replay is positional: the Nth `stream()` call serves the Nth `ReplayEntry`. This is deterministic **only when at most one model stream is in flight at a time**. The first cut runs one ACP session per scenario, which guarantees that. Multi-session concurrency (the bridge multiplexes N sessions, which can prompt concurrently) would let scheduling decide which model call consumes which entry — so concurrent-session snapshots are out of scope until entries are keyed by request rather than position. A scenario whose control flow changes the number/order of model calls must be re-recorded; the cursor **fails loud on overrun** rather than silently reusing or skipping an entry. A missing `session.jsonl` in replay fails loud too ("record first") — never a silent skip.
Replay is positional and therefore permits only one in-flight model stream per scenario. Concurrent-session snapshots require request-keyed entries. Changed call order requires re-recording, and missing or exhausted fixtures fail loudly.
### Recording harvests the log; keyless replay needs a providerless config
Recording runs the scenario with the real `llm-deepseek` adapter and the JSONL persistence backend, then copies the produced `.jsonl` into the scenario dir. Per-event appends are durable, but the harness shuts the subprocess down gracefully (close stdin → `await ctx.dispose()`) before harvesting so the final events are flushed. `llm-replay` itself does no recording — it is replay-only.
The ACP server app loads `@deepseek-ai/dsh-llm-deepseek`, whose `apply` throws when no API key is present ([packages/llm/llm-deepseek/src/index.ts](../../../../packages/llm/llm-deepseek/src/index.ts)). So replay cannot boot the normal config as-is — `examples/acp-agent/cordis.snapshot.yml` is an include-overlay of `cordis.yml` that disables the `llm-deepseek` entry by id and inserts `llm-replay` (see [single-source the acp-agent replay config](2026-07-04-single-source-acp-replay-config.md)); every other entry IS the live tree, loaded through the include. Recording reuses the normal `cordis.yml` (real adapter) — its persistence root reads `$DSH_SNAPSHOT_SESSIONS_ROOT` when the harness sets it — so there is no separate record config. The `dsh-acp-agent` bin selects `cordis.snapshot.yml` for `DSH_SNAPSHOT=replay` and skips `.env` loading in that mode so a stray key cannot trigger a live call.
Replay uses a `cordis.snapshot.yml` overlay that replaces the real adapter with `llm-replay` while retaining the live composition. Recording uses the ordinary config and a harness-supplied persistence root. Replay mode skips `.env` loading, so a stray API key cannot trigger a live call. See the [single-source config RFC](2026-07-04-single-source-acp-replay-config.md).
### Two surfaces: normalize, then compare
A snapshot run asserts **two** normalized surfaces, because the harness's external surfaces are distinct:
1. The **stdout transcript** — the framed `session/update` JSON-RPC the editor sees. Catches regressions in the ACP bridge's event→update translation (`streamSessionEventUpdate`). Compared against a committed `stdout.golden.jsonl`.
2. The **re-persisted session JSONL** — the log the replay run itself persists, compared against the scenario's `session.jsonl`. Catches regressions in the loop, tool dispatch, and turn/step structure that never surface on stdout. There is no separate session golden: `session.jsonl` is both the replay source (recorded scenarios) and the expected produced log. Both sides pass through `normalizeSessionLog` before comparing — the fixture is raw-harvested (its own real session id / cwd / timestamps) and the replay output has fresh ones, so each is scrubbed against its own volatile values (the fixture's read from its header line) and the comparison is on normalized form. Every stored JSONL additionally scrubs composed prompt text to `{{system}}`; each header class's pinning scenario stores that prompt readably in `system-prompt.golden.md` and keeps the complete tool schemas in its JSONL, while other scenarios scrub schemas to `{{tools}}` ([pinned-header RFC](2026-07-06-pin-request-header-content-in-one-scenario.md)). For an authored override scenario the same `session.jsonl` holds the expected produced log; `replay.override.json` drives the model, and `llm-replay` ignores the fixture for model chunks when an override exists, so committing the expected log there does not affect replay.
2. The **re-persisted session JSONL**, normalized and compared with `session.jsonl`. The same fixture is both replay source and expected log. Prompt text is scrubbed; one scenario per header class pins readable prompt and tool content as described in the [header-pinning RFC](2026-07-06-pin-request-header-content-in-one-scenario.md). Override scenarios derive model behavior solely from their sidecar.
The two are genuinely additive: stdout is the bridge's *lossy projection* of the log (it drops `assistant/message.usage`, `step/*`, exact `seq`/`time`, and renders tool I/O differently), so a loop/tool/turn-structure regression can change the JSONL while leaving the stdout projection identical, and a bridge-translation regression can change stdout while the JSONL is untouched. Asserting the JSONL equality also echoes the proposed [universal replay fixture](../../proposed/testing/2026-06-11-deterministic-and-stress-testing.md) idea.
The surfaces are complementary: stdout covers bridge projection, while JSONL covers loop, tool, and boundary structure that the projection omits.
Both surfaces contain non-deterministic values that a pure normalization function scrubs **before** the compare: `randomUUID()` session ids → `{{sessionId}}`, the temp `mkdtemp` cwd → `{{cwd}}` (it appears in terminal-card `_meta` and the log header), JSON-RPC ids → a stable sequence, and the log's per-event `time` (epoch ms) + header `createdAt` dropped or zeroed (the log's `seq` is left intact — it is deterministic by contract, `seq = log.length`). Real bash runs during replay, so the JSONL normalizer additionally stabilizes tool-output volatility (any embedded paths/pids/timestamps) — scenarios keep bash commands tightly constrained (`echo`, file writes; no `date`/`env`/background/large-output) so this surface is small. The committed `stdout.golden.jsonl` is itself **JSONL** — one compact, normalized record per line, in the same shape as the wire (NDJSON on the wire, JSONL on disk), so it stays `grep`/`jq`-able and faithful to what the agent actually emits. A separate raw-purity assertion keeps the guarantee that every stdout line parses as JSON (no logger leak onto the protocol channel). Vitest's `toMatchFileSnapshot` provides the stdout golden store and the `-u`/`--update` "accept the diff" workflow; the session log is checked with a plain normalized-string equality against `session.jsonl`, NOT `toMatchFileSnapshot` (which would overwrite the fixture).
Normalization replaces session, cwd, protocol-id, timestamp, path, and process volatility while preserving deterministic sequence numbers. Scenarios constrain real bash use to stable commands. The stdout golden remains wire-shaped JSONL and every raw line must parse as JSON. Vitest updates only the stdout golden; normalized session equality never overwrites the replay fixture.
### Isolation: normalization now, sandbox later
Determinism of the tool environment comes from a per-test `mkdtemp` cwd, the executor's existing secret-scrubbing env (`/KEY|SECRET|TOKEN/i`), the fresh non-login `bash -c` per call, and the normalization pass — **not** from an OS sandbox. A real rootless sandbox (bwrap on Linux, sandbox-exec/Seatbelt on macOS) is the established cross-platform pattern (Claude Code, Codex), but it is per-OS, fragile on newer kernels (Ubuntu 24.04+ AppArmor blocks unprivileged user namespaces), and unnecessary for transcript determinism. It is reserved as a future tier via the documented `BashExecutor` capability seam ([a sandboxing executor replaces dsh-bash-local without touching a tool schema](../architecture/2026-06-13-capability-seams.md)) — a new `bash-*` package, not a change here. Scenarios keep bash commands tightly constrained (no `date`/`env`/background/large-output) so the temp-dir tier suffices.
Tool determinism comes from a temporary cwd, scrubbed environment, fresh non-login shell, constrained commands, and normalization. It does not claim OS confinement. A sandboxed executor can replace the local backend through the existing [capability seam](../architecture/2026-06-13-capability-seams.md) if a stronger tier is needed.
### The replay plugin is its own package
The replay plugin lives in its own package, `@deepseek-ai/dsh-llm-replay` (`packages/support/llm-replay/`), and the snapshot config references it by package name. It is the keyless replacement for the real LLM adapter: it installs an `llm/stream` waterfall listener and short-circuits it, serving model streams reconstructed from a recorded session JSONL. Its sole consumer is the ACP snapshot harness here, but it is a package (not example-local glue like echo-agent's [mock-llm.ts](../../../../examples/echo-agent/src/mock-llm.ts)) so that its derive/parse/replay branches fall under the per-file 100% coverage gate on package `src` trees — logic under `examples/` is not measured by that gate, which would leave those branches unguarded.
`@deepseek-ai/dsh-llm-replay` is a support package rather than example-local glue. It replaces the real adapter by short-circuiting `llm/stream` with streams reconstructed from JSONL, and its package placement keeps the replay logic under normal coverage gates.
### Two subcommands, replay in the default gate
@@ -78,6 +75,6 @@ The replay plugin lives in its own package, `@deepseek-ai/dsh-llm-replay` (`pack
## Consequences
A new test tier and its fixtures to maintain: each scenario is a directory of `input.json` (the client stdin script) + `session.jsonl` (the recorded log, which doubles as the expected re-persisted log) + an optional `replay.override.json` + an optional `workspace/` seed dir + the `stdout.golden.jsonl`, committed and reviewed. A scenario that needs the agent to operate on existing files (read, edit, grep) ships a `<scenario>/workspace/` directory; the harness copies its contents into the temp cwd before the run, so the seeded files are present for both record and replay (the cwd is normalized in the goldens, so the seeded paths stay stable). Re-recording when the model's phrasing changes churns the fixture and the stdout golden — visible in review, which is the point of committing them. Bought: deterministic, keyless, full-transcript regression coverage that boots the real Loader (so it still guards the export-shape bug class), exercises the real bash executor, and gives a one-command accept-the-diff loop. The tier is ACP-first but the harness (subprocess + tee + input-DSL + workspace seeding + normalization + JSONL-derived replay) is example-agnostic and extends to other examples.
The new tier adds reviewed per-scenario input, session, stdout, optional override, and optional workspace fixtures. In return it provides deterministic keyless transcript coverage through the real Loader and tool composition. The subprocess, input, workspace, normalization, and replay harness can support examples beyond ACP.
This RFC relates to but does not supersede the [proposed determinism RFC](../../proposed/testing/2026-06-11-deterministic-and-stress-testing.md): that proposal's "universal replay fixture" re-derives session *message history* after every test (an internal-consistency invariant), whereas snapshot tests pin the *external protocol output*. They are complementary — one guards the event-sourcing invariant, the other guards the editor-facing contract.

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@@ -54,7 +54,7 @@ The repo secret is named `DEEPSEEK_API_KEY_EXTERNAL`; it is mapped to the `DEEPS
### Scope, runtime shape
Run **only** `test:e2e`. The keyless gates (typecheck/lint/coverage/snapshot/build/hygiene) already run in ci.yml on every push and PR; repeating them here would duplicate signal and slow the real-API job. No build step — e2e tests run unbuilt via tsx + the tsconfig paths map. Single Node 24 (the primary line): these tests exercise API integration, not node-version compatibility, which ci.yml's Node 22.19/24/26 matrix owns. `vitest.e2e.config.ts` runs files through a bounded worker pool (`DSH_E2E_MAX_WORKERS`, default `4`, CI value `14`) so CI and local with-key runs parallelize independent files while retaining a one-line serial escape hatch for quota investigations. `timeout-minutes: 45` bounds a wedged run given 120s/test and `retry: 2`. `cancel-in-progress` is enabled only for `pull_request` runs — a superseded PR run is on a stale commit and worth cancelling, whereas a push/schedule run is already producing the post-merge/nightly signal and is never cancelled.
The job runs only `test:e2e` on Node 24; keyless gates and version compatibility belong to the main CI workflow. Tests run unbuilt through the workspace paths map with a bounded configurable worker pool, per-test retries, and a job timeout. Superseded PR runs are cancelled, while push and scheduled runs complete for post-merge signal.
## Security

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@@ -32,4 +32,4 @@ Reviewers lose one artifact name that made the expected persisted log visually s
## Implementation note
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 `dsh-acp-snapshot`'s suite module — 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.
Each side is normalized against its own header values because recording and replay have different ids, paths, and timestamps. `fixtureContext()` derives the fixture context from its header, making already-normalized fixtures idempotent. Session logs use plain equality rather than file-snapshot updates, so comparison never rewrites fixtures.

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@@ -27,7 +27,7 @@ Record where a session's **inherited** prefix ends, persist it, and have the rep
- **JSONL**: a `seedLength` field on the header line (`toHeaderLine`/`fromHeaderLine`).
- **SQLite**: a `seed_length` column on the `sessions` table.
The SQLite change is a breaking table-layout change, so `SCHEMA_VERSION` bumps. This branch added `seed_length` under version **3**; it later merged with the session-surface branch, which had independently shipped its OWN version-3 layout (the `source_event_seqs`/`surface_op` columns). Because an on-disk `3` is ambiguous between the two sibling layouts, the merged build is version **4** (every column), and an on-disk `3` is rejected like any other non-current version. Per the repo's pre-release stance (§ "Pre-release stance" in AGENTS.md) the backend **rejects** a non-current `user_version` on open rather than migrating it — there is no persisted user data to preserve, so no migration code is written (the existing reject-not-migrate path at `openDatabase` already enforces this; v1, v2, and the collided v3 are all rejected).
The SQLite layout containing `seed_length`, `source_event_seqs`, and `surface_op` is schema version 4. Earlier version 3 layouts were ambiguous, so every non-current `user_version` is rejected without migration under the pre-release policy.
### 3. Replay derives a child script after the boundary

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@@ -29,7 +29,7 @@ Live session ids are freshly random every run and never equal the recorded ones,
This keys by WHO calls, not by global call order — so it stays correct even if subagents ever run concurrently or in the background (a global cursor would interleave them). A call carrying no `sessionId` (a direct unit-test `stream()`) is treated as one anonymous session bound to the primary script, so the single-session path is byte-for-byte the old behavior. More distinct live sessions than recorded scripts is a fail-loud error (an unrecorded subagent appeared), never a silent mis-route.
The ordering key is the session header `createdAt`. In the current synchronous cut this is sound because sibling children are created **strictly sequentially** — the subagent tool awaits one child's result and disposes it before the parent's next tool call starts the next child — so their `createdAt` values are strictly ordered and match first-call order exactly. A same-millisecond sibling tie is therefore unreachable; the `recordedId` tiebreak only keeps such a degenerate collision deterministic, it does not recover first-call order. A future cut that runs siblings concurrently/backgrounded WOULD be able to create two children in the same millisecond, and must then thread a real first-call ordinal (the order live sessions first stream) rather than leaning on `createdAt` — flagged with `XXX(concurrent-subagents)` at the sort site.
Child fixtures sort by `createdAt`, which matches call order while siblings run strictly sequentially. The id tiebreak only makes degenerate collisions deterministic. Concurrent or background children must introduce an explicit first-call ordinal instead of relying on timestamps.
## Alternatives considered

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@@ -8,7 +8,7 @@ Status: implemented
## Decision
`cordis.snapshot.yml` is a declarative overlay, not a copy: its single entry mounts `@cordisjs/plugin-include` on `./cordis.yml` with `patches` that disable the `llm-deepseek` entry (matched by id AND asserted by `name`, so a reused id can never disable the wrong plugin) and insert the `llm-replay` entry ([the vendored include plugin](../../../../vendor/include/src/index.ts)'s patch mechanism: by-id overrides with an optional name assertion, plus top-level inserts). Every other entry the app, the bash executor, the fs/subagent/todo tools, both hook bridges, the system prompt — is the live tree itself, loaded through the include, so replay exercises exactly what ships and an app-shape change lands once. The `dsh-acp-agent` bin is untouched (it still just selects this file for `DSH_SNAPSHOT=replay`); recording still boots `cordis.yml` directly; the bin's `assertEntriesLoaded` guard tolerates the disabled entry by design (a disabled entry is the one legitimate fiber-less state).
`cordis.snapshot.yml` includes the live config, disables the named DeepSeek adapter by id and name, and inserts the replay adapter. Every other entry therefore comes from the shipping tree. Replay selects the overlay; recording still boots `cordis.yml`, and the load guard permits the intentionally disabled entry.
One vendored-plugin fact the overlay depends on, deliberately: the include applies `patches` when it loads the file — its `refresh()`/`internal/update` paths re-read without re-patching — which is exactly enough for a one-shot replay boot (the replay app loads no `hmr` and nothing rewrites the config mid-run). The snapshot suite is the proof: all scenarios pass unchanged on the overlay, byte-identical goldens included.

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@@ -6,13 +6,13 @@ Status: implemented
The ACP snapshot tier ([snapshot RFC](2026-06-19-acp-snapshot-tests.md)) was built from three modules living inside one example's test directory: `snapshot-harness.ts` (boot the real bin subprocess, drive it over ACP JSON-RPC, harvest the persisted logs), `snapshot-normalize.ts` (the pure golden normalizers), and the ~150-line scenario body plus fixture guards in `acp.snapshot.ts` (record/replay modes, the stdout-golden and log compares, the pinned-header uniformity guard, the orphan/required-file/single-pin meta-tests).
A second ACP example wanting snapshot coverage — the sandbox/approval composition is the immediate consumer — could only copy those modules, forking exactly the logic that must not drift: record write-back, header scrubbing, child-session harvest ordering. The spawn/client glue was already triplicated across `acp.e2e.ts`, `hooks.e2e.ts`, and the harness (`TODO(acp-test-harness)`). Location also decided test rigor: the per-file 100% coverage gate measures `packages/*/*/src` only, so none of this machinery was measured — the same gap that had moved `dsh-llm-replay` out of `examples/` into [packages/support](../../../../packages/support/README.md). And the harness's ACP client hardcoded `requestPermission → cancelled`, so an approval round-trip — the headline behavior of the sandbox composition — could not be expressed at the snapshot tier at all.
A second ACP example could only copy record, normalization, and harvest logic that must stay consistent. Code under `examples/` also sat outside the package coverage gate, and the original harness could only cancel permission requests. The shared package makes the machinery measured and lets scenarios script approval answers.
## Decision
The machinery lives in [`packages/support/acp-snapshot`](../../../../packages/support/acp-snapshot/README.md) (`@deepseek-ai/dsh-acp-snapshot`); an example's `*.snapshot.ts` is its scenario table, its agent paths, and one factory call, over its own `snapshots/` fixtures and `cordis.snapshot.yml` overlay ([single-source replay config](2026-07-04-single-source-acp-replay-config.md)). Reading `DSH_SNAPSHOT` stays at that edge — the library takes a resolved `mode`.
**`src/harness.ts`** `runScenario` and the input-script/result types, parameterized by an `AgentUnderTest` (`binScript`, `configPath`, `tsconfigPath`; absolute paths the consuming suite resolves from its own `import.meta.url`). The client's `session/request_permission` handler consumes an optional `InputScript.permissionAnswers` FIFO queue, each entry selecting by option **kind** (ids are agent-issued randoms a committed script cannot know; kinds are the ACP-stable vocabulary, mapped to the offered `optionId` at answer time); an absent or exhausted queue answers `cancelled`, and a kind the request never offered rejects the run — the agent itself is answered `cancelled`, so the scenario bug fails the harness rather than being absorbed as an agent-side denial. This is what lets an approval suite drive allow/reject round-trips deterministically from `input.json`.
**`src/harness.ts`** provides `runScenario` and its script/result types, parameterized by the agent's bin and config paths. Permission answers form a FIFO queue keyed by stable option kind rather than random option id. Missing answers cancel the request; an unavailable kind cancels the agent request and fails the scenario.
**`src/normalize.ts`** — the pure normalizers, hook-free by policy: when a future event carries a new volatile field (an approval duration, say), the shared normalizer learns it in the same change, keeping one home for what "normalized" means rather than per-suite scrub extensions.
@@ -27,10 +27,6 @@ The machinery lives in [`packages/support/acp-snapshot`](../../../../packages/su
- **An injectable ACP `Client` factory instead of declarative `permissionAnswers`** — maximally flexible, but it leaks SDK client construction to every consumer and reopens per-example drift in exactly the layer being unified; a declarative queue keeps `input.json` the single scripting surface and stays golden-normalizable.
- **Generalize beyond ACP (a transport-agnostic snapshot harness)** — no second transport exists; the harness is ACP-shaped end to end (SDK client, JSON-RPC frames, `session/update` waiters), and a speculative abstraction would be a seam split ahead of any consumer.
## Testing
Extraction parity was proven mechanically: after the move, `pnpm run test:snapshot` matched the base commit's result with zero byte changes under `examples/acp-agent/tests/snapshots/`. The package's `src/` holds per-file 100% statements/branches/functions/lines under the gating unit run, driven through the REAL spawn path by a scripted fake ACP bin (`tests/fixtures/fake-acp-agent.ts`, behavior scripted per scenario via a `behavior.json` beside the fixture): `harness.spec.ts` covers every step op, both expect-error arms, the permission queue (selection, fallback, impossible-click), env forwarding, workspace seeding, and the harvest ordering/noise/fallback branches; `suite.spec.ts` runs the factory for real at collection time — a replay suite over committed synthetic fixtures and a record suite over a temp copy (write-back never touches the committed tree; `ACP_SNAPSHOT_SPEC_BOOTSTRAP=1` re-bootstraps it) — plus direct cases for the pure helpers. Two structurally unreachable guards carry reasoned `v8 ignore` comments. The fake bin substitutes the `session/new` cwd, not `process.cwd()`, into scripted logs, matching what the real bin's header carries (darwin realpaths `/var/folders/…` to `/private/var/folders/…`).
## Consequences
A new example gets the whole snapshot tier from a scenario table plus fixtures — the sandbox branch merges master down and adds its own suite (own pin scenario, own overlay, fixtures via `test:snapshot:record`, approvals via `permissionAnswers`). The costs: `suite.ts` imports vitest, so the package is importable only inside a vitest run — a shape no other package has, stated in its README; each suite pins its own ~8 KB header fixture (a genuinely distinct composition deserves its own pin; an identical one would be caught by that suite's uniformity guard); and the e2e launcher duplication remains (`TODO(acp-test-harness)`) — the harness is the extraction target when that migration lands.