146 lines
7.9 KiB
YAML
146 lines
7.9 KiB
YAML
# Probe: e2e-deep (D5 — "D6 take-one", multi-turn complex-interact parity)
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#
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# D5 runs the SAME D6 driver (`kind: e2e_d6`,
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# `src/probes/drivers/d6-all-pills.ts`) scoped to a single representative
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# pill per feature category (`representativeOnly: true`, `rowPrefix:
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# "d5"`). It drives a Playwright multi-turn conversation through the
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# representative D5 feature types wired on each showcase Railway service.
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# Where `e2e-demos` does a cheap goto + chat-input-ready check (1
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# page-load per cell) and `e2e-smoke` does a single chat round-trip on
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# two canonical demos, this probe runs the full conversation script —
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# multiple turns, tool-call routing, hitl, gen-ui — captured as fixtures
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# under `showcase/harness/fixtures/d5/`. (The separate `d5-single-pill.ts`
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# driver was deleted; see the "D5 take-one" note below.)
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#
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# Rows emitted per driver invocation (d6-all-pills.ts under the `d5` rowPrefix):
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# - Primary `e2e-deep:<slug>` ProbeResult carrying the aggregate
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# { total, passed, failed[], skipped[],
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# shape, backendUrl } signal.
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# Green iff every runnable feature
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# completed without a failure_turn.
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# Red if ANY runnable feature flipped.
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# - Side `d5:<slug>/<featureType>` One per declared feature type.
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# Green when the conversation completed
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# cleanly; red with `errorClass` ∈
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# { goto-error, conversation-error,
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# abort, driver-error } and a Slack-
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# safe `errorDesc`. Green-with-note
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# `"no script registered"` when Wave 2b
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# hasn't landed the script for that
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# featureType yet — coverage gap, not
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# regression.
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#
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# ── Cadence: */30 (every 30 minutes) ────────────────────────────────────
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#
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# All showcase integrations are aimock-backed — zero LLM cost per tick.
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# D5 ticks take ~3.5 min with max_concurrency=4; every-30-min gives
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# continuous regression coverage within a single deploy window.
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#
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# Cron string: `*/30 * * * *` (every 30 min, on the hour and half-hour —
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# :00 and :30). This co-fires with e2e-smoke (`*/15` = :00/:15/:30/:45)
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# at :00 and :30 and so can contend for the shared browser pool (Chromium
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# EAGAIN); the global BROWSER_POOL_MAX_CONTEXTS cap (see max_concurrency
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# below) provides the back-pressure that keeps overlapping Playwright
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# probes off the cgroup pids.max ceiling.
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#
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# ── timeout_ms: 600_000 (10 min) ────────────────────────────────────────
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#
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# Outer driver-invocation cap. Per-feature run subdivides further: the
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# conversation-runner's per-turn `responseTimeoutMs` defaults to 30s,
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# the driver's per-page goto timeout is 30s, and the per-feature
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# wall-clock cap (`DEFAULT_FEATURE_TIMEOUT_MS` in d6-all-pills.ts) is 5
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# min so a single wedged feature can't drain the global budget for
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# downstream features.
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#
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# Sized for the worst-case integration. langgraph-python now declares
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# ~28 D5 features (Phase 2 LGP coverage wave) — 28 / FEATURE_CONCURRENCY_D6(4)
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# = 7 per worker × ~15s realistic per-feature wall-clock = ~105s, which
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# blows the prior 3-min cap once goto/cold-start overhead is layered on.
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# 10 min gives generous headroom at current feature count; lighter
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# integrations (5–10 features) still finish in <60s and exit early without
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# sitting on the cap.
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#
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# Other knobs that bound the slug: increasing `FEATURE_CONCURRENCY_D6` (in
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# d6-all-pills.ts) cuts wall-clock proportionally but doubles concurrent
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# Chromium contexts; revisit before raising the cap further.
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#
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# ── max_concurrency: 4 ──────────────────────────────────────────────────
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#
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# 4 services (max_concurrency) × FEATURE_CONCURRENCY_D6(4) features per
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# service = up to 16 concurrent chromium contexts. Those contexts are drawn
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# from the 3 shared chromium processes (BROWSER_POOL_BROWSERS=3) under the
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# global BROWSER_POOL_MAX_CONTEXTS=24 cap (D6 peak now 5×4=20 + this D5 peak
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# 16 = 36 > 24, so a d6+d5 OVERLAP serializes against the global cap — that
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# back-pressure is intended: it is the demand-side lever that keeps the
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# simultaneous-renderer count off the cgroup pids.max=1000 ceiling).
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# Each context resident-set is ~300MB; 16 parallel ≈ 4.8GB peak. Production
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# memory headroom on the orchestrator's Railway footprint has been measured
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# and can sustain this — the binding constraint is the PID ceiling of 1000,
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# not memory, so contexts (not processes) are the scaling knob. Higher
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# service concurrency cuts tail latency roughly in half vs. the prior
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# max_concurrency=2.
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#
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# ── Scope: all showcase packages ────────────────────────────────────────
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#
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# Discovery matches all `showcase-*` Railway services via `namePrefix`.
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# Infra services are excluded — same list as smoke / e2e-smoke / e2e-
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# demos so a new infra service added there lands here too during review.
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# Starters short-circuit green inside the driver (no /demos routing).
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# D5 is now LITERALLY "D6 take-one": this probe runs the SAME D6 driver
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# (`kind: e2e_d6`) under D6's exact conditions (route, headers, conversation,
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# pooled launcher), but scoped to a single representative pill per feature
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# category and emitting the `d5:` dashboard prefix. The separate D5
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# driver/launcher was deleted because its own launcher instance + cadence
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# systematically lost the `x-aimock-context` header against the shared fleet
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# pool (aimock strict 503 → red).
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#
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# The D5-scoping inputs (`representativeOnly: true`, `rowPrefix: "d5"`) are NOT
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# expressed in this YAML — the probe-config schema is `.strict()` and rejects
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# unknown top-level keys. Instead they are stamped onto the driver inputs by
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# the run paths that actually construct them: the fleet producer's
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# `createE2eDeepServiceEnumerator` (`extraDriverInputs`) and the CLI's
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# `buildDeepInputs` (`src/cli/targets.ts`). This YAML retains the
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# `d5-single-pill-e2e` id, the staggered cadence, and the discovery filter that
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# enumerate the D5 service set; the `kind: e2e_d6` line just points it at the
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# unified driver.
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kind: e2e_d6
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id: d5-single-pill-e2e
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schedule: "*/30 * * * *"
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timeout_ms: 600000
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max_concurrency: 4
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discovery:
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source: railway-services
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filter:
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namePrefix: "showcase-"
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nameExcludes:
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- showcase-aimock
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- showcase-harness
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- showcase-pocketbase
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- showcase-shell
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- showcase-shell-dashboard
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- showcase-shell-docs
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- showcase-shell-dojo
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# Decommissioned starters — Railway services stopped (PR #4390)
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- showcase-starter-ag2
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- showcase-starter-agno
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- showcase-starter-claude-sdk-python
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- showcase-starter-claude-sdk-typescript
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- showcase-starter-crewai-crews
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- showcase-starter-google-adk
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- showcase-starter-langgraph-fastapi
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- showcase-starter-langgraph-python
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- showcase-starter-langgraph-typescript
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- showcase-starter-langroid
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- showcase-starter-llamaindex
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- showcase-starter-mastra
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- showcase-starter-ms-agent-dotnet
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- showcase-starter-ms-agent-python
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- showcase-starter-pydantic-ai
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- showcase-starter-spring-ai
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- showcase-starter-strands
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# Primary row key uses the Railway service name (not the stripped
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# slug) to stay consistent with sibling driver families. The driver
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# strips `showcase-` from the name internally for the per-feature
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# side-row keys (`d5:<slug>/<featureType>`).
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key_template: "d5-single-pill-e2e:${name}"
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