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[core] Prefetch stream read encryption keys - #3871

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[core] Prefetch stream read encryption keys#3871
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@alangenfeld

@alangenfeld alangenfeld commented Aug 27, 2026 •
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Summary & Motivation

Stream reads now start the run-metadata and encryption-key lookup concurrently with the stream GET, instead of waiting for the first encrypted frame to arrive before touching either, so a reader no longer stalls on that round trip. The key resolver is memoized per readable session and its promise is observed eagerly, so a lookup that fails while nothing consumes it can't surface as an unhandled rejection; the original error still reaches the consumer through the deserialize transform. getReadable() builds its underlying stream lazily so an unread stream does no work. The key-resolution phase gets its own workflow.stream.read.resolve_key span, keeping workflow.stream.read's time-to-first-chunk measuring the raw stream alone.

Test Plan

Unit tests added for the concurrent start, the single resolver across reconnects and sessions, and the cancellation/failure paths; pnpm --filter @workflow/core test and typecheck pass locally.

@alangenfeld
[core] Prefetch stream read encryption keys
653cfda 
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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🦋 Changeset detected

Latest commit: 653cfda

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 16 packages
Name Type
@workflow/core Patch
@workflow/builders Patch
@workflow/cli Patch
@workflow/next Patch
@workflow/nitro Patch
@workflow/vitest Patch
@workflow/web-shared Patch
@workflow/web Patch
workflow Patch
@workflow/world-testing Patch
@workflow/astro Patch
@workflow/nest Patch
@workflow/rollup Patch
@workflow/sveltekit Patch
@workflow/vite Patch
@workflow/nuxt Patch

Not sure what this means? Click here to learn what changesets are.

Click here if you're a maintainer who wants to add another changeset to this PR

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The latest updates on your projects. Learn more about Vercel for GitHub.

Project Deployment Actions Updated (UTC)
example-nextjs-workflow-turbopack Ready Ready Preview, v0 Aug 27, 2026 10:27pm
example-nextjs-workflow-webpack Ready Ready Preview, v0 Aug 27, 2026 10:27pm
example-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-astro-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-express-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-fastify-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-hono-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-nestjs-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-nitro-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-nuxt-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-python-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-sveltekit-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-tanstack-start-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workbench-vite-workflow Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workflow-docs Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workflow-swc-playground Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workflow-tarballs Ready Ready Preview, v0 Aug 27, 2026 10:27pm
workflow-web Ready Ready Preview, v0 Aug 27, 2026 10:27pm

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📊 Workflow Benchmarks

commit 653cfda · Thu, 27 Aug 2026 22:42:36 GMT · run logs

Backend: vercel · app: nextjs-turbopack

Metric Scenario Best (ms) P75 (ms) P90 (ms) P99 (ms) Samples
TTFS step 1172 (+523%) 🔻 1269 🔴 (+14%) 1302 🔴 (+13%) 1652 🔴 (+13%) 30
TTFS stream 176 (+9.3%) 1276 🔴 (+13%) 1292 🔴 (+12%) 1471 🔴 (+8.5%) 30
TTFS hook + stream 437 (-63%) 💚 1563 🔴 (+13%) 1643 🔴 (+13%) 6087 🔴 (+298%) 🔻 30
Fan-out TTFS Promise.all(100 steps) 554 (-15%) 882 (-50%) 💚 1130 (-41%) 💚 2031 (-3.6%) 10
Fan-out TTLS Promise.all(100 steps) 1894 (+1.5%) 2615 (-30%) 💚 2874 (-25%) 💚 8329 (+20%) 🔻 10
STSO 1020 steps (inline) 102 (-6.4%) 133 (-16%) 💚 147 (-21%) 💚 205 (-28%) 💚 1019
WO 1020 steps 133743 (-13%) 133743 (-13%) 133743 (-13%) 133743 (-13%) 1
CRTT first chunk (pooled) 50 (-47%) 💚 95 (-40%) 💚 118 (-41%) 💚 211 (-37%) 💚 28

Streams

Scenario CRTT 1st p75 p90 p99 CDV max iters
paced control (100/s, 60B) 73 (-46%) 122 (-33%) 153 (-38%) 212 (-61%) 75 (-59%) 10
size sweep (100/s, 160B-12KB) 87.5 (-33%) 126 (-41%) 194 (-67%) 364 (-59%) 124 (-42%) 10
replay gateway-gpt-5.4-nano-2000t (1x) 103 (-24%) 108 (-39%) 130 (-46%) 384 (-7%) 208 (-37%) 3
replay eve-gpt-5.6-sol-2000t (1x) 83.5 (-42%) 112 (-39%) 144 (-50%) 251 (-63%) 237 (-63%) 2
replay eve-gpt-5.6-sol-2000t (2x) 79 (-47%) 151 (-40%) 252 (-51%) 497 (-47%) 230 (-52%) 3
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 153650ms → this run 133607ms (Δ -20043ms, -13%)

100-150 ms  ██████████████████░░░░░┃  main 681  this 933  +252
150-200 ms  █┃█████                   main 264  this  74  -190
200-250 ms  ┃                         main  52  this   7   -45
250-300 ms  ┃                         main  15  this   3   -12
300-350 ms  ┃                         main   5  this   1    -4
350-400 ms  ┃                         main   2  this   0    -2
400-450 ms  ┃                         main   0  this   1    +1
📈 CRTT drill-down vs main (RTT distributions & profiles) 
variant  RTT 1ms→5s+             avg         p50         p90         p99     n
control  ······██▁····  101.8 (-33%)   97 (-30%)  153 (-38%)  212 (-61%)  3000
sweep    ······██▁····  109.1 (-42%)  101 (-25%)  194 (-67%)  364 (-59%)  3000
gw 1x    ·····▁█▄▁▁···     96 (-36%)   89 (-34%)  130 (-46%)   384 (-7%)  5295
eve 1x   ·····▁█▅▁····   96.9 (-40%)   90 (-35%)  144 (-50%)  251 (-63%)  5186
eve 2x   ·····▁▆█▂▁···  128.3 (-42%)  108 (-38%)  252 (-51%)  497 (-47%)  7779

RTT over stream progress (avg per tenth of stream, bars scaled min→max):

control  █▄▇▁▁▂▇▅▄▆  95–109ms
sweep    █▆▁▂▃▅▆▃▃▂  95–128ms
gw 1x    █▂▁▂▁▂▃▃▅▁  85–126ms
eve 1x   ▂▄▃▄▃▄▆█▆▁  83–115ms
eve 2x   ▂▂▂▂▁▃▄█▄▁  98–213ms

RTT by chunk size (avg per log size bin, ~160B → ~12KB serialized, bars scaled min→max):

sweep  █▅▄▂▁▁▃  107–112ms

Delivery jitter over stream progress (avg positive CDV per tenth of stream, bars scaled min→max):

control  ▃▅▄▂▁█▃▅▃▇  28–31ms
sweep    ▅▁▁▆▄▇█▆▅▄  37–50ms
gw 1x    █▃▂▁▃▂▃▅▂▁  24–33ms
eve 1x   ▁█▄▂▅▇▆▇▅▅  17–23ms
eve 2x   ▄▅▁▁▂▇▇▄▇█  17–24ms
ℹ️ Metric definitions & methodology

Streams: first-chunk RTT (the stream-open path, before any buffering/backpressure), CRTT percentiles, and worst delivery stall (CDV max). Cells are medians across iterations; per-run values in the artifacts. No 🔴/🟢 marks until targets attach.

The collapsed STSO distribution section above buckets every step gap, split inline (same warm process — pure framework overhead) vs queue-hop (fresh process — dispatch, reinit, replay). █ = main, ┃ = this run, ░ = fill.

The collapsed CRTT drill-down: per-variant RTT histograms (fixed log bins, · = empty) and mean RTT/positive-CDV profile lines over stream progress and chunk size. Histograms, avgs, and profiles merge exactly across runs; p50–p99 are percentile-of-percentiles. Per-index rows live in the artifacts.

Best/P75/P90/P99 deltas compare against the most recent benchmark run on main at the time of this run. 🔻 flags a delta worse than +15%, 💚 one better than −15%.

Metrics — TTFS: time to first step body (in-deployment start() → first step body) · Fan-out TTFS: fan-out time to first step (in-deployment start() → first of the parallel step bodies to complete) · Fan-out TTLS: fan-out time to last step (in-deployment start() → last of the parallel step bodies to complete, i.e. when the Promise.all resolves) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · CRTT: chunk round-trip time (per-chunk write → read latency, one clock domain: deployment → stream backend → same deployment) · CDV: chunk delay variation / delivery jitter (inter-arrival gap minus inter-write gap per seq-adjacent pair; skew-free; the row is each run's MAX positive value, so one stall moves it)

Scenarios — step: one trivial no-op step, no stream; no hooks, so the run stays in turbo mode (in-process fast path) · stream: one streaming step; no hooks, so the run stays in turbo mode (in-process fast path) · hook + stream: registers a hook before one step, which exits turbo mode (dispatch path) · 1020 steps: 1020 trivial sequential steps; STSO is measured between consecutive steps in the given step ranges, and WO is the whole-run overhead outside step bodies · Promise.all(100 steps): 100 trivial no-op steps started together in a single Promise.all; Fan-out TTFS is the first of them to complete and Fan-out TTLS the last, both from the in-deployment clientStart, so their gap is the spread the runtime adds across the fan-out · paced control (100/s, 60B): the control: 300 tiny (~60B) deltas metronome-paced at 100/s — zero workload structure, so it reads the transport floor and flush cadence, and disambiguates transport-wide vs workload-specific when a replay row moves · size sweep (100/s, 160B-12KB): same pacing as the control with deltas padded in rotation across seven log-spaced sizes (~160B–12KB) — rotation decouples size from stream position, so it isolates whether chunk size causes latency · replay gateway-gpt-5.4-nano-2000t (1x): raw provider SSE cadence captured at the AI gateway boundary (gpt-5.4-nano, the most popular gateway model; per-token deltas p50 208B = the modal production chunk size), replayed exactly as measured — the typical customer's workload; its CDV is the typical customer's real delivery jitter · replay eve-gpt-5.6-sol-2000t (1x): a captured eve turn (gpt-5.6-sol, the most-used demanding eve model; ~2000 output tokens = production p50 turn length) replayed exactly as measured — eve's envelope protocol re-ships the cumulative message so sizes ramp 142B→13KB; the demanding outlier tenant's reality · replay eve-gpt-5.6-sol-2000t (2x): the same eve capture at 2x — the headroom/stress row; real fast-tier models emit the same chunk sizes at proportionally higher rate, so time compression is a faithful speed model · first chunk (pooled): every run's seq-0 RTT pooled across all stream scenarios — the first chunk precedes any workload differentiation, so pooling samples one shared stream-open path with exact percentiles

Replay cadences (semantic sha256) — eve-gpt-5.6-sol-2000t eaf22f5946e7c61f3c65c7006d550df180cfabd4e706254a09f22aec0cfb420d · gateway-gpt-5.4-nano-2000t 6f24ac518b6b83ff1d0e85a5fe78230db192716d66a7fc6b2fe022752001d041

🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600

All timestamps are deployment-side; runs are triggered in-deployment, so the CI runner and api.vercel.com sit outside every measured window. TTFS = start() → first step body (includes dispatch + any cold start); Fan-out TTFS/TTLS = first/last step completion of one Promise.all from the same anchor (the gap is the runtime’s fan-out spread); STSO/WO between step bodies; CRTT inside the workflow (excludes the api.vercel.com read path).

Cold starts stay in the numbers (real bursty-workload latency, inflates P75+); Best is the warm floor.

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🧪 E2E Test Results

❌ Some tests failed

❌ Failed E2E Tests

▲ Vercel Production (8 failed)

python-node (8 failed):

  • promiseAllWorkflow | wrun_41M12NEG5R0GYW0JCSDJ5HGBQV | 🔍 observability
  • sleepingWorkflow | wrun_41M12NF58Y0GJ19DNBZQRZC5EV | 🔍 observability
  • parallelSleepWorkflow | wrun_41M12NF5D40GKPY4A33S9CCCJB | 🔍 observability
  • nullByteWorkflow | wrun_41M12NFBVZ0GPRG6SDG9HYVZN9 | 🔍 observability
  • cancelRun - cancelling a running workflow | wrun_41M12NKQFH0GY5DPJE01F35TVQ | 🔍 observability
  • cancelRun via CLI - cancelling a running workflow | wrun_41M12NKRMN0GSKS3GEJ7BSW2XV | 🔍 observability
  • sleepInLoopWorkflow - sleep inside loop with steps actually delays each iteration | wrun_41M12NM1GP0GQVY9GYF1TFQ1RC | 🔍 observability
  • resilient start: addTenWorkflow completes when run_created returns 500 | wrun_41M12NMM2H0GW9HPD7TEH39CTW | 🔍 observability

🌐 Cross-language Conformance (9 failed)

python (9 failed):

  • deploymentId: 'latest' is a no-op in non-Vercel worlds | wrun_01M12NMR75J2HX9N78PD02E15G
  • promiseAllWorkflow | wrun_41M12NEG5R0GYW0JCSDJ5HGBQV
  • sleepingWorkflow | wrun_41M12NF58Y0GJ19DNBZQRZC5EV
  • parallelSleepWorkflow | wrun_41M12NF5D40GKPY4A33S9CCCJB
  • nullByteWorkflow | wrun_41M12NFBVZ0GPRG6SDG9HYVZN9
  • cancelRun - cancelling a running workflow | wrun_41M12NKQFH0GY5DPJE01F35TVQ
  • cancelRun via CLI - cancelling a running workflow | wrun_41M12NKRMN0GSKS3GEJ7BSW2XV
  • sleepInLoopWorkflow - sleep inside loop with steps actually delays each iteration | wrun_41M12NM1GP0GQVY9GYF1TFQ1RC
  • resilient start: addTenWorkflow completes when run_created returns 500 | wrun_41M12NMM2H0GW9HPD7TEH39CTW

⚠️ Flaky E2E Tests (passed on retry)

These tests failed at least once and passed on a retry. A recurring entry here is a real race worth investigating.

  • hookWithSleepFinalStepWorkflow - step only on final payload (nextjs-webpack)
  • hookWorkflow (tanstack-start)

🛠 Infra Events (absorbed by the harness)

Platform anomalies the e2e harness detected and worked around (e.g. a run the queue never picked up, replaced by a fresh run). Clustered timestamps indicate a backend blip; a steady drip indicates a platform issue worth escalating.

33 infra events
  • cold-start-warmup · suite warmup (python) · at 22:27:47Z · abandoned wrun_41M12N8KQF0GSNJVRFS09FCFSM · (+7 more)
  • run-pickup-stall · parallelSleepWorkflow (python) · at 22:28:03Z · abandoned wrun_41M12NC8D40GKY8T91CV23A541
  • run-pickup-stall · sleepingWorkflow (python) · at 22:28:03Z · abandoned wrun_41M12NC8D40GKY8T91CV23A540
  • run-pickup-stall · promiseAllWorkflow (python) · at 22:28:04Z · abandoned wrun_41M12NC8CY0GH6Q0WXYGZS081N
  • run-pickup-stall · nullByteWorkflow (python) · at 22:28:04Z · abandoned wrun_41M12NC8D80GNXD4TNXVV3HC0G
  • run-pickup-stall · cancelRun - cancelling a running workflow (python) · at 22:28:04Z · abandoned wrun_41M12NC8Q80GJC7Q637AME8TRN
  • run-pickup-stall · cancelRun - cancelling a running workflow (python) · at 22:28:36Z · abandoned wrun_41M12ND8G70GHPNJSBAX7ET2KJ
  • run-pickup-stall · sleepingWorkflow (python) · at 22:29:04Z · abandoned wrun_41M12NE3P10GT11M04S469SBKF
  • run-pickup-stall · nullByteWorkflow (python) · at 22:29:04Z · abandoned wrun_41M12NE3RM0GWQ2J95A6PMTSJ0
  • run-pickup-stall · parallelSleepWorkflow (python) · at 22:29:04Z · abandoned wrun_41M12NE3R10GVSKQ7DHVHJM0CM
  • run-pickup-stall · promiseAllWorkflow (python) · at 22:29:04Z · abandoned wrun_41M12NE3TJ0GRXWP793W80STNE
  • run-pickup-stall · cancelRun via CLI - cancelling a running workflow (python) · at 22:29:55Z · abandoned wrun_41M12NE7YP0GQTWCTZCFNWJRH9
  • cold-start-warmup · suite warmup (tanstack-start) · at 22:31:00Z · abandoned wrun_01M12NHA0G4K27H122PZ3YF03H
  • cold-start-warmup · suite warmup (python) · at 22:31:11Z · abandoned wrun_01M12NESS9Z875QVC8CK21HHS1 · (+7 more)
  • run-pickup-stall · sleepingWorkflow (python) · at 22:31:26Z · abandoned wrun_01M12NJEYF9RH488EKH9H2HNPD
  • run-pickup-stall · promiseAllWorkflow (python) · at 22:31:26Z · abandoned wrun_01M12NJEYA49PH3YQJQ0NVP6GQ
  • run-pickup-stall · parallelSleepWorkflow (python) · at 22:31:26Z · abandoned wrun_01M12NJEYG37C9QSAMJ9V8QX98
  • run-pickup-stall · nullByteWorkflow (python) · at 22:31:26Z · abandoned wrun_01M12NJEYHYN4Q71CAQXD864DB
  • run-pickup-stall · deploymentId: 'latest' is a no-op in non-Vercel worlds (python) · at 22:31:26Z · abandoned wrun_01M12NJEYA49PH3YQJQ0NVP6GP
  • run-pickup-stall · sleepInLoopWorkflow - sleep inside loop with steps actually delays each iteration (python) · at 22:31:36Z · abandoned wrun_41M12NGVJK0GQX3MH24DV1JN67
  • run-pickup-stall · cancelRun via CLI - cancelling a running workflow (python) · at 22:31:37Z · abandoned wrun_41M12NGZV70GWVTVRDSQ941QTG
  • run-pickup-stall · promiseAllWorkflow (python) · at 22:32:26Z · abandoned wrun_01M12NM9J05AXA5JT6DDKTPC72
  • run-pickup-stall · deploymentId: 'latest' is a no-op in non-Vercel worlds (python) · at 22:32:26Z · abandoned wrun_01M12NM9HYAZWR4C74C7AQTRQ1
  • run-pickup-stall · sleepingWorkflow (python) · at 22:32:26Z · abandoned wrun_01M12NM9J14FKWXVPT50S7R3JM
  • run-pickup-stall · parallelSleepWorkflow (python) · at 22:32:26Z · abandoned wrun_01M12NM9J3N50WENF1DFD962XS
  • run-pickup-stall · nullByteWorkflow (python) · at 22:32:26Z · abandoned wrun_01M12NM9J7JQKP0DHARXXVR3KF
  • run-pickup-stall · cancelRun - cancelling a running workflow (python) · at 22:33:26Z · abandoned wrun_01M12NP45DDHD8VZWAPDF43FYS
  • run-pickup-stall · cancelRun via CLI - cancelling a running workflow (python) · at 22:33:26Z · abandoned wrun_01M12NP45M0ZGS1M1HQEJ2RC6B
  • run-pickup-stall · sleepInLoopWorkflow - sleep inside loop with steps actually delays each iteration (python) · at 22:33:26Z · abandoned wrun_01M12NP45PHHXNY5KEW11TXG0N
  • run-pickup-stall · cancelRun via CLI - cancelling a running workflow (python) · at 22:33:56Z · abandoned wrun_01M12NQ1GJ9YBGS4JGXFEQW13N
  • run-pickup-stall · cancelRun - cancelling a running workflow (python) · at 22:33:56Z · abandoned wrun_01M12NQ1GMX4Q9T2WM314N1KSZ
  • run-pickup-stall · sleepInLoopWorkflow - sleep inside loop with steps actually delays each iteration (python) · at 22:34:26Z · abandoned wrun_01M12NQYRSNDSB9MP718WZ2JVK
  • run-pickup-stall · plainModuleDoneHook resumed via plain API route (o2flow shape) (nextjs-webpack) · at 22:38:16Z · abandoned wrun_01M12NZ01X16WYWP2A67ZMZYMG

E2E Test Summary

Summary
Passed Failed Skipped Total
❌ ▲ Vercel Production 3570 8 742 4320
✅ 💻 Local Development 3922 0 558 4480
✅ 📦 Local Production 3922 0 558 4480
✅ 🐘 Local Postgres 3922 0 558 4480
✅ 🪟 Windows 320 0 0 320
❌ 🌐 Cross-language Conformance 0 9 132 141
✅ vercel-http-transport 817 0 143 960
✅ vercel-multi-region 27 0 0 27
✅ vercel-ws-transport 553 0 87 640
Total 17053 17 2778 19848
Details by Category

❌ ▲ Vercel Production

App Passed Failed Skipped
✅ astro-node 132 0 28
✅ astro-quickjs 132 0 28
✅ example-node 132 0 28
✅ example-quickjs 132 0 28
✅ express-node 132 0 28
✅ express-quickjs 132 0 28
✅ fastify-node 132 0 28
✅ fastify-quickjs 132 0 28
✅ hono-node 132 0 28
✅ hono-quickjs 132 0 28
✅ nest-node 132 0 28
✅ nest-quickjs 132 0 28
✅ nextjs-turbopack-node 157 0 3
✅ nextjs-turbopack-quickjs 157 0 3
✅ nextjs-webpack-node 157 0 3
✅ nextjs-webpack-quickjs 157 0 3
✅ nitro-node 132 0 28
✅ nitro-quickjs 132 0 28
✅ nuxt-node 132 0 28
✅ nuxt-quickjs 132 0 28
❌ python-node 0 8 152
✅ sveltekit-node 151 0 9
✅ sveltekit-quickjs 151 0 9
✅ tanstack-start-node 132 0 28
✅ tanstack-start-quickjs 132 0 28
✅ vite-node 132 0 28
✅ vite-quickjs 132 0 28

✅ 💻 Local Development

App Passed Failed Skipped
✅ astro-stable-node 134 0 26
✅ astro-stable-quickjs 134 0 26
✅ express-stable-node 134 0 26
✅ express-stable-quickjs 134 0 26
✅ fastify-stable-node 134 0 26
✅ fastify-stable-quickjs 134 0 26
✅ hono-stable-node 134 0 26
✅ hono-stable-quickjs 134 0 26
✅ nest-stable-node 134 0 26
✅ nest-stable-quickjs 134 0 26
✅ nextjs-turbopack-canary-node 141 0 19
✅ nextjs-turbopack-canary-quickjs 141 0 19
✅ nextjs-turbopack-stable-node 160 0 0
✅ nextjs-turbopack-stable-quickjs 160 0 0
✅ nextjs-webpack-canary-node 141 0 19
✅ nextjs-webpack-canary-quickjs 141 0 19
✅ nextjs-webpack-stable-node 160 0 0
✅ nextjs-webpack-stable-quickjs 160 0 0
✅ nitro-stable-node 134 0 26
✅ nitro-stable-quickjs 134 0 26
✅ nuxt-stable-node 134 0 26
✅ nuxt-stable-quickjs 134 0 26
✅ sveltekit-stable-node 153 0 7
✅ sveltekit-stable-quickjs 153 0 7
✅ tanstack-start-node 134 0 26
✅ tanstack-start-quickjs 134 0 26
✅ vite-stable-node 134 0 26
✅ vite-stable-quickjs 134 0 26

✅ 📦 Local Production

App Passed Failed Skipped
✅ astro-stable-node 134 0 26
✅ astro-stable-quickjs 134 0 26
✅ express-stable-node 134 0 26
✅ express-stable-quickjs 134 0 26
✅ fastify-stable-node 134 0 26
✅ fastify-stable-quickjs 134 0 26
✅ hono-stable-node 134 0 26
✅ hono-stable-quickjs 134 0 26
✅ nest-stable-node 134 0 26
✅ nest-stable-quickjs 134 0 26
✅ nextjs-turbopack-canary-node 141 0 19
✅ nextjs-turbopack-canary-quickjs 141 0 19
✅ nextjs-turbopack-stable-node 160 0 0
✅ nextjs-turbopack-stable-quickjs 160 0 0
✅ nextjs-webpack-canary-node 141 0 19
✅ nextjs-webpack-canary-quickjs 141 0 19
✅ nextjs-webpack-stable-node 160 0 0
✅ nextjs-webpack-stable-quickjs 160 0 0
✅ nitro-stable-node 134 0 26
✅ nitro-stable-quickjs 134 0 26
✅ nuxt-stable-node 134 0 26
✅ nuxt-stable-quickjs 134 0 26
✅ sveltekit-stable-node 153 0 7
✅ sveltekit-stable-quickjs 153 0 7
✅ tanstack-start-node 134 0 26
✅ tanstack-start-quickjs 134 0 26
✅ vite-stable-node 134 0 26
✅ vite-stable-quickjs 134 0 26

✅ 🐘 Local Postgres

App Passed Failed Skipped
✅ astro-stable-node 134 0 26
✅ astro-stable-quickjs 134 0 26
✅ express-stable-node 134 0 26
✅ express-stable-quickjs 134 0 26
✅ fastify-stable-node 134 0 26
✅ fastify-stable-quickjs 134 0 26
✅ hono-stable-node 134 0 26
✅ hono-stable-quickjs 134 0 26
✅ nest-stable-node 134 0 26
✅ nest-stable-quickjs 134 0 26
✅ nextjs-turbopack-canary-node 141 0 19
✅ nextjs-turbopack-canary-quickjs 141 0 19
✅ nextjs-turbopack-stable-node 160 0 0
✅ nextjs-turbopack-stable-quickjs 160 0 0
✅ nextjs-webpack-canary-node 141 0 19
✅ nextjs-webpack-canary-quickjs 141 0 19
✅ nextjs-webpack-stable-node 160 0 0
✅ nextjs-webpack-stable-quickjs 160 0 0
✅ nitro-stable-node 134 0 26
✅ nitro-stable-quickjs 134 0 26
✅ nuxt-stable-node 134 0 26
✅ nuxt-stable-quickjs 134 0 26
✅ sveltekit-stable-node 153 0 7
✅ sveltekit-stable-quickjs 153 0 7
✅ tanstack-start-node 134 0 26
✅ tanstack-start-quickjs 134 0 26
✅ vite-stable-node 134 0 26
✅ vite-stable-quickjs 134 0 26

✅ 🪟 Windows

App Passed Failed Skipped
✅ nextjs-turbopack-node 160 0 0
✅ nextjs-turbopack-quickjs 160 0 0

❌ 🌐 Cross-language Conformance

App Passed Failed Skipped
❌ python 0 9 132

✅ vercel-http-transport

App Passed Failed Skipped
✅ example 132 0 28
✅ express 132 0 28
✅ hono 132 0 28
✅ nextjs-turbopack 157 0 3
✅ nitro 132 0 28
✅ vite 132 0 28

✅ vercel-multi-region

App Passed Failed Skipped
✅ nextjs-turbopack 27 0 0

✅ vercel-ws-transport

App Passed Failed Skipped
✅ example 132 0 28
✅ express 132 0 28
✅ nextjs-turbopack 157 0 3
✅ vite 132 0 28

📋 View full workflow run

@github-actions

github-actions Bot commented Aug 27, 2026

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Sim World

Simulated world deterministic testing for races. Traces

🟠 world-sim scenario book — 1 fail of 41 total

fence=per-spec

scenario outcome events virt replay violations
✅ smoke-no-steps completed 3 0ms ok 0
✅ smoke-one-step completed 6 0ms ok 0
✅ hook-at-step-started completed 12 0ms ok 0
✅ hook-at-step-completed completed 12 0ms ok 0
✅ hook-at-hook-created completed 12 0ms ok 0
✅ deadline-hook-wins completed 7 1.0h ok 0
✅ deadline-expires completed 7 1.0h ok 0
✅ long-sleep completed 11 30.0d ok 0
✅ hook-never-arrives stalled 3 0ms skipped 0
✅ step-retries-twice completed 10 2.0s ok 0
✅ parallel-steps completed 9 0ms ok 0
✅ hook-on-execution-state completed 12 0ms ok 0
✅ peek-hook-before-branch completed 12 0ms ok 0
✅ peek-hook-after-branch completed 12 0ms ok 0
✅ peek-hook-at-registration completed 12 0ms ok 0
✅ race-hook-before-probe completed 12 0ms ok 0
✅ race-hook-after-probe completed 12 0ms ok 0
✅ race-duplicate-delivery completed 13 0ms ok 0
✅ attr-hook-before-step completed 11 0ms ok 0
✅ attr-hook-after-step completed 11 0ms ok 0
✅ attr-from-step-body completed 13 0ms ok 0
✅ fork-hook-after-timeout completed 14 1.0m ok 0
✅ fork-hook-before-timeout completed 14 1.0m ok 0
✅ count-hook-after-timeout completed 17 1.0m ok 0
✅ count-hook-before-timeout completed 20 1.0m ok 0
✅ stale-read-step-count-fork completed 20 1.0m ok 0
✅ stale-read-equal-step-counts completed 14 1.0m ok 0
✅ step-vs-step-fork completed 12 0ms ok 0
✅ step-vs-step-fork-fenced completed 12 0ms ok 0
✅ fence-catches-benign-direction completed 12 5ms ok 0
✅ in-flight-before-decision completed 17 1.0m ok 0
❌ in-flight-before-decision-counted completed 17 1.0m ok 0
✅ in-flight-after-decision completed 19 2.0m ok 0
✅ stale-read-step-count-fork-fenced completed 20 1.0m ok 0
✅ fork-hook-wins completed 13 1.0m ok 0
✅ fork-timeout-wins completed 13 1.0m ok 0
✅ unclaimed-payload-under-fork completed 17 1.0m ok 0
✅ claimed-payload-under-fork completed 17 1.0m ok 0
✅ writers-independent-step-bodies completed 12 0ms ok 0
✅ writers-scripted-tempo completed 12 0ms ok 0
✅ cancel-mid-step cancelled 7 0ms skipped 0

Full trace: world-sim.txt

@github-actions

github-actions Bot commented Aug 27, 2026

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Framework Flow route Step reg. Framework output
hono 200.9 KiB (±0) 40.5 KiB (+175 B) 1.76 MiB (+640 B)
nextjs-turbopack 206.3 KiB (±0) 439 B (±0) 763.7 KiB (+216 B)
About these numbers

Sizes are gzip; parentheses show the change against main.
Flow route and Step reg. gate this job, on raw bytes rather than the gzip shown, at max(2%, 50.0 KiB). Framework output is informational.

653cfda · run

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@alangenfeld