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[core] Prune schema modules from workflow bundles - #3550

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[core] Prune schema modules from workflow bundles#3550
NathanColosimo wants to merge 4 commits into
codex/retain-vm-with-attributesfrom
codex/replay-prune-runtime-graph

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@NathanColosimo

@NathanColosimo NathanColosimo commented Aug 14, 2026

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Summary

  • move runtime-only event metadata and attribute validation onto schema-free @workflow/world subpaths
  • keep the public Zod schemas available to hosts without pulling them into the sandbox
  • add a regression test that builds a real workflow and asserts that Zod is absent

Result

For the 97-step benchmark workflow:

  • VM bundle: 612,980 B → 26,831 B (-95.6%)
  • fresh-context evaluation p50: 10.536 ms → 0.121 ms (-98.9%)
  • Zod modules in the VM bundle: 77 → 0

Review scope

This changes dependency boundaries only; workflow behavior and serialized formats are unchanged.

Validation

  • builders/core/world package typechecks and builds
  • focused builder/runtime tests
  • Next/Turbopack and Vite production builds

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🦋 Changeset detected

Latest commit: 0e530e2

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

This PR includes changesets to release 21 packages
Name Type
@workflow/ai Patch
@workflow/cli Patch
@workflow/core Patch
@workflow/world Patch
@workflow/world-local Patch
@workflow/world-postgres Patch
@workflow/world-testing Patch
@workflow/world-vercel Patch
workflow Patch
@workflow/builders Patch
@workflow/next Patch
@workflow/nitro Patch
@workflow/vitest Patch
@workflow/web-shared Patch
@workflow/web 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.

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@NathanColosimo
NathanColosimo force-pushed the codex/replay-prune-runtime-graph branch from 7f68db4 to 4a2cc23 Compare August 14, 2026 08:08
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🧪 E2E Test Results

All tests passed

⚠️ 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.

  • outputStreamInsideStepWorkflow - getWritable() called inside step functions (nitro)
  • resume-or-start route pattern - resumeHook retried after start() reaches the new run (fastify)

🛠 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.

  • run-pickup-stall · addTenWorkflow (tanstack-start) · at 18:23:56Z · abandoned wrun_01M0B1TTW0EHPXWFMGDX824XDM

E2E Test Summary

Summary
Passed Failed Skipped Total
✅ ▲ Vercel Production 3474 0 738 4212
✅ 💻 Local Development 3810 0 558 4368
✅ 📦 Local Production 3810 0 558 4368
✅ 🐘 Local Postgres 3810 0 558 4368
✅ 🪟 Windows 312 0 0 312
✅ 🌐 Cross-language Conformance 9 0 128 137
✅ vercel-multi-region 27 0 0 27
Total 15252 0 2540 17792
Details by Category

✅ ▲ Vercel Production

App Passed Failed Skipped
✅ astro-node 128 0 28
✅ astro-quickjs 128 0 28
✅ example-node 128 0 28
✅ example-quickjs 128 0 28
✅ express-node 128 0 28
✅ express-quickjs 128 0 28
✅ fastify-node 128 0 28
✅ fastify-quickjs 128 0 28
✅ hono-node 128 0 28
✅ hono-quickjs 128 0 28
✅ nest-node 128 0 28
✅ nest-quickjs 128 0 28
✅ nextjs-turbopack-node 153 0 3
✅ nextjs-turbopack-quickjs 153 0 3
✅ nextjs-webpack-node 153 0 3
✅ nextjs-webpack-quickjs 153 0 3
✅ nitro-node 128 0 28
✅ nitro-quickjs 128 0 28
✅ nuxt-node 128 0 28
✅ nuxt-quickjs 128 0 28
✅ python-node 8 0 148
✅ sveltekit-node 147 0 9
✅ sveltekit-quickjs 147 0 9
✅ tanstack-start-node 128 0 28
✅ tanstack-start-quickjs 128 0 28
✅ vite-node 128 0 28
✅ vite-quickjs 128 0 28

✅ 💻 Local Development

App Passed Failed Skipped
✅ astro-stable-node 130 0 26
✅ astro-stable-quickjs 130 0 26
✅ express-stable-node 130 0 26
✅ express-stable-quickjs 130 0 26
✅ fastify-stable-node 130 0 26
✅ fastify-stable-quickjs 130 0 26
✅ hono-stable-node 130 0 26
✅ hono-stable-quickjs 130 0 26
✅ nest-stable-node 130 0 26
✅ nest-stable-quickjs 130 0 26
✅ nextjs-turbopack-canary-node 137 0 19
✅ nextjs-turbopack-canary-quickjs 137 0 19
✅ nextjs-turbopack-stable-node 156 0 0
✅ nextjs-turbopack-stable-quickjs 156 0 0
✅ nextjs-webpack-canary-node 137 0 19
✅ nextjs-webpack-canary-quickjs 137 0 19
✅ nextjs-webpack-stable-node 156 0 0
✅ nextjs-webpack-stable-quickjs 156 0 0
✅ nitro-stable-node 130 0 26
✅ nitro-stable-quickjs 130 0 26
✅ nuxt-stable-node 130 0 26
✅ nuxt-stable-quickjs 130 0 26
✅ sveltekit-stable-node 149 0 7
✅ sveltekit-stable-quickjs 149 0 7
✅ tanstack-start-node 130 0 26
✅ tanstack-start-quickjs 130 0 26
✅ vite-stable-node 130 0 26
✅ vite-stable-quickjs 130 0 26

✅ 📦 Local Production

App Passed Failed Skipped
✅ astro-stable-node 130 0 26
✅ astro-stable-quickjs 130 0 26
✅ express-stable-node 130 0 26
✅ express-stable-quickjs 130 0 26
✅ fastify-stable-node 130 0 26
✅ fastify-stable-quickjs 130 0 26
✅ hono-stable-node 130 0 26
✅ hono-stable-quickjs 130 0 26
✅ nest-stable-node 130 0 26
✅ nest-stable-quickjs 130 0 26
✅ nextjs-turbopack-canary-node 137 0 19
✅ nextjs-turbopack-canary-quickjs 137 0 19
✅ nextjs-turbopack-stable-node 156 0 0
✅ nextjs-turbopack-stable-quickjs 156 0 0
✅ nextjs-webpack-canary-node 137 0 19
✅ nextjs-webpack-canary-quickjs 137 0 19
✅ nextjs-webpack-stable-node 156 0 0
✅ nextjs-webpack-stable-quickjs 156 0 0
✅ nitro-stable-node 130 0 26
✅ nitro-stable-quickjs 130 0 26
✅ nuxt-stable-node 130 0 26
✅ nuxt-stable-quickjs 130 0 26
✅ sveltekit-stable-node 149 0 7
✅ sveltekit-stable-quickjs 149 0 7
✅ tanstack-start-node 130 0 26
✅ tanstack-start-quickjs 130 0 26
✅ vite-stable-node 130 0 26
✅ vite-stable-quickjs 130 0 26

✅ 🐘 Local Postgres

App Passed Failed Skipped
✅ astro-stable-node 130 0 26
✅ astro-stable-quickjs 130 0 26
✅ express-stable-node 130 0 26
✅ express-stable-quickjs 130 0 26
✅ fastify-stable-node 130 0 26
✅ fastify-stable-quickjs 130 0 26
✅ hono-stable-node 130 0 26
✅ hono-stable-quickjs 130 0 26
✅ nest-stable-node 130 0 26
✅ nest-stable-quickjs 130 0 26
✅ nextjs-turbopack-canary-node 137 0 19
✅ nextjs-turbopack-canary-quickjs 137 0 19
✅ nextjs-turbopack-stable-node 156 0 0
✅ nextjs-turbopack-stable-quickjs 156 0 0
✅ nextjs-webpack-canary-node 137 0 19
✅ nextjs-webpack-canary-quickjs 137 0 19
✅ nextjs-webpack-stable-node 156 0 0
✅ nextjs-webpack-stable-quickjs 156 0 0
✅ nitro-stable-node 130 0 26
✅ nitro-stable-quickjs 130 0 26
✅ nuxt-stable-node 130 0 26
✅ nuxt-stable-quickjs 130 0 26
✅ sveltekit-stable-node 149 0 7
✅ sveltekit-stable-quickjs 149 0 7
✅ tanstack-start-node 130 0 26
✅ tanstack-start-quickjs 130 0 26
✅ vite-stable-node 130 0 26
✅ vite-stable-quickjs 130 0 26

✅ 🪟 Windows

App Passed Failed Skipped
✅ nextjs-turbopack-node 156 0 0
✅ nextjs-turbopack-quickjs 156 0 0

✅ 🌐 Cross-language Conformance

App Passed Failed Skipped
✅ python 9 0 128

✅ vercel-multi-region

App Passed Failed Skipped
✅ nextjs-turbopack 27 0 0

📋 View full workflow run

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📊 Workflow Benchmarks

commit 0e530e2 · Tue, 18 Aug 2026 18:39:39 GMT · run logs

Backend: vercel · app: nextjs-turbopack

Metric Scenario Best (ms) P75 (ms) P90 (ms) P99 (ms) Samples
TTFS step 235 (+4.4%) 1250 🔴 (+10%) 1312 🔴 (+11%) 1409 🔴 (-14%) 30
TTFS stream 163 (-28%) 💚 1278 🔴 (+8.1%) 1290 🔴 (+6.3%) 1295 🔴 (-31%) 💚 30
TTFS hook + stream 436 (+14%) 1539 🔴 (+13%) 1567 🔴 (+12%) 1731 🔴 (+20%) 🔻 30
Fan-out TTFS Promise.all(100 steps) 924 (-26%) 💚 1377 (-43%) 💚 2528 (-2.4%) 2946 (+9.6%) 10
Fan-out TTLS Promise.all(100 steps) 5246 (-24%) 💚 7905 (-7.8%) 8026 (-9.1%) 8087 (-9.6%) 10
STSO 1020 steps (inline) 122 (-24%) 💚 211 (-27%) 💚 234 (-32%) 💚 319 (-36%) 💚 1019
WO 1020 steps 205760 (-26%) 💚 205760 (-26%) 💚 205760 (-26%) 💚 205760 (-26%) 💚 1
CRTT first chunk (pooled) 77 (-18%) 💚 102 (-29%) 💚 191 (±0%) 415 (+10%) 28

Streams

Scenario wr c/s rd c/s wr KiB/s rd KiB/s CRTT 1st p75 p90 p99 CDV max iters
paced control (100/s, 60B) 100 (±0%) 99.8 (+3%) 5 (±0%) 5 (+3%) 98 (-19%) 111 (-50%) 143 (-71%) 467 (-63%) 97.5 (-57%) 10
size sweep (100/s, 160B-12KB) 100 (±0%) 101 (+3%) 334 (±0%) 337 (+3%) 97 (-33%) 119 (-53%) 177 (-74%) 338 (-73%) 111 (-74%) 10
replay gateway-gpt-5.4-nano-2000t (1x) 89.2 (±0%) 89.2 (±0%) 16.2 (±0%) 16.2 (-1%) 86 (-29%) 130 (-48%) 324 (-86%) 929 (-76%) 596 (-26%) 3
replay eve-gpt-5.6-sol-2000t (1x) 54.7 (±0%) 54.6 (-4%) 355 (±0%) 355 (-4%) 100 (-24%) 111 (-49%) 140 (-79%) 249 (-95%) 199 (-94%) 2
replay eve-gpt-5.6-sol-2000t (2x) 109 (±0%) 109 (±0%) 710 (±0%) 708 (±0%) 107 (-11%) 149 (-36%) 198 (-41%) 500 (-23%) 327 (-12%) 3
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 277417ms → this run 205551ms (Δ -71866ms, -26%)

100-150 ms  ┃                         main   0  this   8    +8
150-200 ms  ██░░░░░░░░░░░░░░░░░░░░░┃  main  47  this 602  +555
200-250 ms  █████████████┃            main 357  this 349    -8
250-300 ms  █┃██████████████          main 397  this  42  -355
300-350 ms  ┃████                     main 126  this  14  -112
350-400 ms  ┃█                        main  50  this   4   -46
400-450 ms  ┃                         main  23  this   0   -23
450-500 ms  ┃                         main   9  this   0    -9
500-550 ms  ┃                         main   4  this   0    -4
550-600 ms  ┃                         main   2  this   0    -2
600-650 ms  ┃                         main   2  this   0    -2
700-750 ms  ┃                         main   1  this   0    -1
850-900 ms  ┃                         main   1  this   0    -1
📈 CRTT drill-down vs main (RTT distributions & profiles)
variant  RTT 1ms→5s+             avg         p50         p90         p99     n
control  ·····▁█▅▁····   99.6 (-48%)   90 (-37%)  143 (-71%)  467 (-63%)  3000
sweep    ······█▇▁····  102.2 (-52%)   97 (-32%)  177 (-74%)  338 (-73%)  3000
gw 1x    ·····▁█▅▁▁▁··  122.5 (-59%)   93 (-39%)  324 (-86%)  929 (-76%)  5295
eve 1x   ·····▁█▅▁····   94.3 (-72%)   86 (-38%)  140 (-79%)  249 (-95%)  5186
eve 2x   ·····▁▅█▂▁···    130 (-35%)  116 (-34%)  198 (-41%)  500 (-23%)  7779

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

control  ▅█▃▄▁▁▂▁▁▃  87–132ms
sweep    ▅▃▃▁█▆▄▂▁▃  92–119ms
gw 1x    ▆▃▂█▁▃▂▁▁▃  89–204ms
eve 1x   ▆▂▃▂▂█▆█▅▁  84–106ms
eve 2x   █▁▂▂▁▂▃▇▃▂  108–183ms

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

sweep  █▆▆▄▂▁▁  99–106ms

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

control  ▇█▄▇▅▁▄▃▄▇  23–31ms
sweep    ▄▁▄▄█▅▄▅▃▃  34–56ms
gw 1x    █▃█▃▂▆▁▁▂▅  26–38ms
eve 1x   ▃▁▁▁▃▄█▃▄▄  20–29ms
eve 2x   █▂▁▁▃▃▃▃▃▃  22–38ms
ℹ️ Metric definitions & methodology

Streams: writer/reader sustained rates (steady window, 10% trimmed each side), 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.

@NathanColosimo
NathanColosimo force-pushed the codex/replay-prune-runtime-graph branch from 8edf496 to 35bea10 Compare August 14, 2026 21:06
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