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feat(streams): add WebSocket writer lifecycle - #3833

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alangenfeld/ws-stream-ws-lifecycle
Sep 10, 2026
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alangenfeld merged 4 commits into
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alangenfeld/ws-stream-ws-lifecycle

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@alangenfeld

@alangenfeld alangenfeld commented Aug 26, 2026 •

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Summary & Motivation

Implements the client half of workflow-stream-ws/v1 behind the existing default-off WORKFLOW_STREAMS_TRANSPORT=ws gate, populating the createWriteSession seam only when opted in.

  • Writes and closes are serialized over one socket per writer lifetime; groups above the v1 per-request chunk cap are split without resetting writer-local sequence.
  • Any failure before the upgrade is accepted (declined upgrade, proxy, load error, a dispatch that beats the handshake) falls back to HTTP for the rest of the writer's life.
  • Once a write is on the socket, a missing or uncorrelatable reply poisons the session rather than replaying over HTTP, since a duplicate append cannot be ruled out.
  • Idle clean closes reconnect with the same writer id, capped at three attempts so a draining server can't hot-loop.
  • The handshake gets a workflow.stream.ws.connect span and each frame a synthesized http POST span, so per-event tracing survives the non-fetch transport.

Test Plan

New unit tests cover the lifecycle, fallback, and poisoning paths; 598 @workflow/world-vercel tests plus package build/typecheck and workspace lint/format pass. Root build/typecheck couldn't run locally (missing Rust toolchain for the unrelated @workflow/swc-plugin).

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🦋 Changeset detected

Latest commit: 89a1fe6

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

This PR includes changesets to release 17 packages
Name Type
@workflow/world-vercel Minor
@workflow/cli Patch
@workflow/core Patch
@workflow/web Patch
workflow Patch
@workflow/world-testing Patch
@workflow/builders Patch
@workflow/next Patch
@workflow/nitro Patch
@workflow/vitest Patch
@workflow/web-shared 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
example-nextjs-workflow-turbopack Ready Ready Preview, v0 Sep 9, 2026 10:40pm UTC
example-nextjs-workflow-webpack Ready Ready Preview, v0 Sep 9, 2026 10:40pm UTC
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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.

  • addTenWorkflow (sveltekit)
  • cancelRun via CLI - cancelling a running workflow (hono)
  • cancelRun via CLI - cancelling a running workflow (nextjs-turbopack)
  • hookCleanupTestWorkflow - hook token reuse after workflow completion (nextjs-webpack)
  • promiseAllWorkflow (nuxt)
  • sleepWinsRaceWorkflow (tanstack-start)
  • sleepWinsRaceWorkflow (vite)

🛠 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.

  • cold-start-warmup · suite warmup (tanstack-start) · at 22:41:05Z · abandoned wrun_01M245984DGN19N6T31N6VNAHP
  • run-pickup-stall · AllInOneService.processNumber - static workflow method using sibling static step methods (nextjs-turbopack) · at 22:46:02Z · abandoned wrun_01M245JHHW6P5WT3GBHVN37693
  • run-pickup-stall · hookCleanupTestWorkflow - hook token reuse after workflow completion (nextjs-webpack) · at 22:48:15Z · abandoned wrun_01M245PM11CR3YK27X1D1F120S
  • run-pickup-stall · concurrent hook token conflict - two workflows cannot use the same hook token simultaneously (nextjs-webpack) · at 22:48:20Z · abandoned wrun_01M245PRYZNH3GMJDFRZ2TGQY5

E2E Test Summary

Summary
Passed Failed Skipped Total
✅ ▲ Vercel Production 3662 0 685 4347
✅ 💻 Local Development 3922 0 586 4508
✅ 📦 Local Production 3922 0 586 4508
✅ 🐘 Local Postgres 3922 0 586 4508
✅ 🪟 Windows 320 0 2 322
✅ 🌐 Cross-language Conformance 68 0 74 142
✅ vercel-http-transport 823 0 143 966
✅ vercel-multi-region 27 0 0 27
✅ vercel-ws-transport 557 0 87 644
Total 17223 0 2749 19972
Details by Category

✅ ▲ Vercel Production

App Passed Failed Skipped
✅ astro-node 133 0 28
✅ astro-quickjs 133 0 28
✅ example-node 133 0 28
✅ example-quickjs 133 0 28
✅ express-node 133 0 28
✅ express-quickjs 133 0 28
✅ fastify-node 133 0 28
✅ fastify-quickjs 133 0 28
✅ hono-node 133 0 28
✅ hono-quickjs 133 0 28
✅ nest-node 133 0 28
✅ nest-quickjs 133 0 28
✅ nextjs-turbopack-node 158 0 3
✅ nextjs-turbopack-quickjs 158 0 3
✅ nextjs-webpack-node 158 0 3
✅ nextjs-webpack-quickjs 158 0 3
✅ nitro-node 133 0 28
✅ nitro-quickjs 133 0 28
✅ nuxt-node 133 0 28
✅ nuxt-quickjs 133 0 28
✅ python-node 66 0 95
✅ sveltekit-node 152 0 9
✅ sveltekit-quickjs 152 0 9
✅ tanstack-start-node 133 0 28
✅ tanstack-start-quickjs 133 0 28
✅ vite-node 133 0 28
✅ vite-quickjs 133 0 28

✅ 💻 Local Development

App Passed Failed Skipped
✅ astro-stable-node 134 0 27
✅ astro-stable-quickjs 134 0 27
✅ express-stable-node 134 0 27
✅ express-stable-quickjs 134 0 27
✅ fastify-stable-node 134 0 27
✅ fastify-stable-quickjs 134 0 27
✅ hono-stable-node 134 0 27
✅ hono-stable-quickjs 134 0 27
✅ nest-stable-node 134 0 27
✅ nest-stable-quickjs 134 0 27
✅ nextjs-turbopack-canary-node 141 0 20
✅ nextjs-turbopack-canary-quickjs 141 0 20
✅ nextjs-turbopack-stable-node 160 0 1
✅ nextjs-turbopack-stable-quickjs 160 0 1
✅ nextjs-webpack-canary-node 141 0 20
✅ nextjs-webpack-canary-quickjs 141 0 20
✅ nextjs-webpack-stable-node 160 0 1
✅ nextjs-webpack-stable-quickjs 160 0 1
✅ nitro-stable-node 134 0 27
✅ nitro-stable-quickjs 134 0 27
✅ nuxt-stable-node 134 0 27
✅ nuxt-stable-quickjs 134 0 27
✅ sveltekit-stable-node 153 0 8
✅ sveltekit-stable-quickjs 153 0 8
✅ tanstack-start-node 134 0 27
✅ tanstack-start-quickjs 134 0 27
✅ vite-stable-node 134 0 27
✅ vite-stable-quickjs 134 0 27

✅ 📦 Local Production

App Passed Failed Skipped
✅ astro-stable-node 134 0 27
✅ astro-stable-quickjs 134 0 27
✅ express-stable-node 134 0 27
✅ express-stable-quickjs 134 0 27
✅ fastify-stable-node 134 0 27
✅ fastify-stable-quickjs 134 0 27
✅ hono-stable-node 134 0 27
✅ hono-stable-quickjs 134 0 27
✅ nest-stable-node 134 0 27
✅ nest-stable-quickjs 134 0 27
✅ nextjs-turbopack-canary-node 141 0 20
✅ nextjs-turbopack-canary-quickjs 141 0 20
✅ nextjs-turbopack-stable-node 160 0 1
✅ nextjs-turbopack-stable-quickjs 160 0 1
✅ nextjs-webpack-canary-node 141 0 20
✅ nextjs-webpack-canary-quickjs 141 0 20
✅ nextjs-webpack-stable-node 160 0 1
✅ nextjs-webpack-stable-quickjs 160 0 1
✅ nitro-stable-node 134 0 27
✅ nitro-stable-quickjs 134 0 27
✅ nuxt-stable-node 134 0 27
✅ nuxt-stable-quickjs 134 0 27
✅ sveltekit-stable-node 153 0 8
✅ sveltekit-stable-quickjs 153 0 8
✅ tanstack-start-node 134 0 27
✅ tanstack-start-quickjs 134 0 27
✅ vite-stable-node 134 0 27
✅ vite-stable-quickjs 134 0 27

✅ 🐘 Local Postgres

App Passed Failed Skipped
✅ astro-stable-node 134 0 27
✅ astro-stable-quickjs 134 0 27
✅ express-stable-node 134 0 27
✅ express-stable-quickjs 134 0 27
✅ fastify-stable-node 134 0 27
✅ fastify-stable-quickjs 134 0 27
✅ hono-stable-node 134 0 27
✅ hono-stable-quickjs 134 0 27
✅ nest-stable-node 134 0 27
✅ nest-stable-quickjs 134 0 27
✅ nextjs-turbopack-canary-node 141 0 20
✅ nextjs-turbopack-canary-quickjs 141 0 20
✅ nextjs-turbopack-stable-node 160 0 1
✅ nextjs-turbopack-stable-quickjs 160 0 1
✅ nextjs-webpack-canary-node 141 0 20
✅ nextjs-webpack-canary-quickjs 141 0 20
✅ nextjs-webpack-stable-node 160 0 1
✅ nextjs-webpack-stable-quickjs 160 0 1
✅ nitro-stable-node 134 0 27
✅ nitro-stable-quickjs 134 0 27
✅ nuxt-stable-node 134 0 27
✅ nuxt-stable-quickjs 134 0 27
✅ sveltekit-stable-node 153 0 8
✅ sveltekit-stable-quickjs 153 0 8
✅ tanstack-start-node 134 0 27
✅ tanstack-start-quickjs 134 0 27
✅ vite-stable-node 134 0 27
✅ vite-stable-quickjs 134 0 27

✅ 🪟 Windows

App Passed Failed Skipped
✅ nextjs-turbopack-node 160 0 1
✅ nextjs-turbopack-quickjs 160 0 1

✅ 🌐 Cross-language Conformance

App Passed Failed Skipped
✅ python 68 0 74

✅ vercel-http-transport

App Passed Failed Skipped
✅ example 133 0 28
✅ express 133 0 28
✅ hono 133 0 28
✅ nextjs-turbopack 158 0 3
✅ nitro 133 0 28
✅ vite 133 0 28

✅ vercel-multi-region

App Passed Failed Skipped
✅ nextjs-turbopack 27 0 0

✅ vercel-ws-transport

App Passed Failed Skipped
✅ example 133 0 28
✅ express 133 0 28
✅ nextjs-turbopack 158 0 3
✅ vite 133 0 28

📋 View full workflow run

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📊 Workflow Benchmarks

commit 89a1fe6 · Wed, 09 Sep 2026 23:02:23 GMT · run logs

Backend: vercel · app: nextjs-turbopack

Metric Scenario Best (ms) P75 (ms) P90 (ms) P99 (ms) Samples
TTFS step 208 (-70%) 💚 1258 🔴 (+21%) 🔻 1363 🔴 (+11%) 1411 🔴 (-1.7%) 30
TTFS stream 181 (-0.5%) 1387 🔴 (+36%) 🔻 1420 🔴 (+37%) 🔻 1623 🔴 (+53%) 🔻 30
TTFS hook + stream 1226 (+188%) 🔻 1597 🔴 (+15%) 🔻 1653 🔴 (+10%) 1772 🔴 (-65%) 💚 30
Fan-out TTFS Promise.all(100 steps) 630 (+0.8%) 777 (-1.0%) 888 (-44%) 💚 2020 (+6.9%) 10
Fan-out TTLS Promise.all(100 steps) 2011 (+2.3%) 5578 (-22%) 💚 7028 (-12%) 8239 (-8.0%) 10
STSO 1020 steps (inline) 90 (-13%) 161 (+28%) 🔻 185 (+28%) 🔻 348 (+50%) 🔻 1019
WO 1020 steps 157137 (+21%) 🔻 157137 (+21%) 🔻 157137 (+21%) 🔻 157137 (+21%) 🔻 1
CRTT first chunk (pooled) 59 (+1.7%) 126 (+21%) 🔻 169 (+48%) 🔻 224 (+90%) 🔻 28

Streams

Scenario CRTT 1st p75 p90 p99 CDV max iters
paced control (100/s, 60B) 122 (+45%) 159 (+10%) 210 (-5%) 392 (-37%) 143 (+41%) 10
size sweep (100/s, 160B-12KB) 113 (+49%) 222 (+60%) 489 (+170%) 765 (+76%) 187 (+21%) 10
replay gateway-gpt-5.4-nano-2000t (1x) 80 (-18%) 145 (+21%) 201 (+35%) 552 (+96%) 324 (+86%) 3
replay eve-gpt-5.6-sol-2000t (1x) 83 (-14%) 160 (-20%) 226 (-59%) 492 (-70%) 387 (-62%) 2
replay eve-gpt-5.6-sol-2000t (2x) 104 (-4%) 253 (+12%) 394 (+10%) 710 (-50%) 448 (+7%) 3
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 129960ms → this run 156942ms (Δ +26982ms, +21%)

 50-100 ms  ┃                         main   0  this   1    +1
100-150 ms  ███████████████┃████████  main 942  this 623  -319
150-200 ms  █░░░░░░┃                  main  52  this 331  +279
200-250 ms  ┃                         main  15  this  37   +22
250-300 ms  ┃                         main   1  this  11   +10
300-350 ms  ┃                         main   3  this   6    +3
350-400 ms  ┃                         main   3  this   6    +3
400-450 ms  ┃                         main   0  this   2    +2
450-500 ms  ┃                         main   1  this   0    -1
500-550 ms  ┃                         main   0  this   1    +1
550-600 ms  ┃                         main   1  this   1    +0
900-950 ms  ┃                         main   1  this   0    -1
📈 CRTT drill-down vs main (RTT distributions & profiles)
variant  RTT 1ms→5s+             avg         p50          p90         p99     n
control  ······▄█▁····   128.7 (+9%)  113 (+10%)    210 (-5%)  392 (-37%)  3000
sweep    ······▃█▃▁···  171.5 (+47%)  130 (+25%)  489 (+170%)  765 (+76%)  3000
gw 1x    ·····▁▅█▂▁···  129.4 (+24%)  115 (+16%)   201 (+35%)  552 (+96%)  5295
eve 1x   ·····▁▆█▂▁···  133.1 (-23%)   103 (+2%)   226 (-59%)  492 (-70%)  5186
eve 2x   ·····▁▂█▄▁···   194.6 (+2%)   150 (-2%)   394 (+10%)  710 (-50%)  7779

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

control  █▅▃▂▂▃▃▂▁▁  112–170ms
sweep    █▂▁▆▄█▄▂▃▁  156–194ms
gw 1x    █▇▇▆▃▄▂▁▃▄  109–151ms
eve 1x   ▄▁▁█▁▅▅▂▁▁  114–178ms
eve 2x   ▅█▂▁▁▅█▆▆▂  147–249ms

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

sweep  ▁██▂▁▁▅  170–174ms

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

control  ▆▁▃▃▄▇█▃▂▄  36–45ms
sweep    ▁▂███▆▇▆▆▅  46–73ms
gw 1x    █▇▅▁▂▅▄▄▄▄  30–46ms
eve 1x   ▆▄▂█▄█▆▁▂▆  22–31ms
eve 2x   ▆█▁▁▃▃▃▁▂▆  24–43ms
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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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

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Framework Flow route Step reg. Framework output
hono 201.6 KiB (±0) 42.3 KiB (±0) 1.79 MiB (+5.1 KiB)
nextjs-turbopack 207.8 KiB (±0) 439 B (±0) 775.0 KiB (+2.9 KiB)
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.

89a1fe6 · run

@alangenfeld
alangenfeld force-pushed the alangenfeld/ws-stream-ws-lifecycle branch from ab87b64 to 9853758 Compare August 27, 2026 15:50
@alangenfeld
alangenfeld force-pushed the alangenfeld/ws-stream-ws-lifecycle branch from 9853758 to 064bde0 Compare August 27, 2026 21:15

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LGTM, with some specific issues the agent found, noted below

this.pending = undefined;
clearTimeout(pending.timer);
if (reply.type === 'close_ack') this.closeAcknowledged = true;
if (reply.type === 'error') {

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AI Review: Note

Every correlated server error poisons the session permanently, with no distinction between a retryable rejection and a fatal one. A throttle response, an ambiguous-write 503, and a conflict all arrive as the same frame shape and all end the writer's life. parseStreamWsReply gives you reply.status right here and it is discarded except for the message string.

Over HTTP each write is independent, so a throttled write fails once and the writer stays usable. Over this transport it is terminal, which means an opted-in deployment behaves worse than the default one precisely under load. stream-ws-protocol-v1.ts already names the missing piece ("A future retry contract must add a dedicated machine-readable code"), so this is a known gap rather than an oversight, but it is the thing that decides when the gate can be turned on for anything but low-volume traffic. Even ahead of a machine-readable code, treating a 4xx-with-reqId as "this request was rejected, the connection is fine" and only poisoning on genuinely unknown outcomes would recover most of the resilience.

Comment on lines +295 to +300
private async handleMessage(raw: Uint8Array): Promise<void> {
try {
const frame = await decodeOne(raw);
const reply = parseStreamWsReply(frame.meta, frame.body);
const pending = this.pending;
if (

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AI Review: Note

This is where an error frame carrying no reqId becomes fatal, which the protocol schema does define ("An absent request id makes the error connection-fatal"). The consequence is worth spelling out, because it fires on an expected lifecycle event rather than a failure: a server that ends a connection because the captured token is about to expire has no way to say so except an uncorrelatable error frame, and this treats that as an unknown outcome.

I drove those exact bytes into a session with the writer idle:

later write rejected with: stream WebSocket reply cannot be correlated
writeHttp fallback calls: 0
close() rejected with:    stream WebSocket reply cannot be correlated
closeHttp fallback calls: 0

So: the writer dies while doing nothing; close() also rejects and never falls back, meaning the stream is never marked done over either transport and a reader awaiting the terminal record gets nothing; and the server's own message, which is the one string that would tell an operator what happened, is thrown away in favour of "cannot be correlated".

At minimum, an uncorrelatable error frame should surface reply.status and reply.message in the poison error instead of the correlation failure. Better would be a drain-shaped frame in the response union so a scheduled teardown can be answered by reconnecting with a fresh token, which the docs in this PR already flag as a rollout prerequisite.

Comment on lines +358 to +360
this.assertUsable();
const ws = this.socket;
if (this.mode !== 'ws' || !ws || ws.readyState !== 1) {

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AI Review: Note

Both pre-send failures poison, though in both the outcome is unambiguous: nothing reached the wire, so a duplicate append cannot have happened and HTTP fallback is provably safe. The socket-not-open branch here, and the buildFrame throw just below it, are the two cases where the session's own justification for refusing to fall back does not apply.

The second one is reachable through ordinary input. A single chunk above the v1 per-chunk cap fails inside encodeStreamWsWriteRequest:

rejected with: stream WebSocket chunk is 10485761 bytes; maximum is 10485760
bytes actually sent: 0
writeHttp fallback calls: 0

and every later write on that writer, including small ones, is dead. The existing tests assert this poisoning deliberately so I take it as a decision rather than a miss, but it is the wrong side of the trade when the frame provably never left: the same oversized chunk over HTTP is one failed request with the writer intact.

},
async () =>
new Promise<Record<string, unknown>>((resolve, reject) => {
const timer = setTimeout(() => {

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AI Review: Note

getRequestTimeoutMs() defaults to 60s, and expiry here goes to failUnknown, so one slow write ends the writer for the remainder of its life. A single stalled backend call is a plausible way to reach that, and over HTTP it would be one slow request rather than a dead writer.

The reasoning is sound as far as it goes: after 60s of silence the outcome genuinely is unknown. But the blast radius is the whole writer rather than the one frame, and there is no separate, shorter liveness signal that would let the session distinguish "this request is slow" from "this socket is gone". A ping/pong or a server-side in-progress signal would let the timeout be about the connection rather than the request.

// Clean idle infrastructure close: reconnect with the same writer identity
// and next writer-local sequence, but cap eager attempts so a draining
// server cannot create an open/close hot loop for the invocation lifetime.
if (this.idleReconnects >= MAX_IDLE_RECONNECTS) {

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AI Review: Note

The reconnect path only covers the clean-idle case, and the session has no lifetime bound of its own, so it depends on the counterparty always closing cleanly and always doing so while nothing is in flight. Neither is guaranteed: the invocation serving a socket is recycled on its own schedule, and a writer that is actively streaming is far more likely to have a frame outstanding at that moment than to be idle. That path lands in failUnknown above, not here.

A client-side recycle, closing and reopening while idle at some interval comfortably inside the server's connection ceiling, would convert most of those unclean deaths into the clean-idle case this already handles well. As written, the longer a stream runs the more likely it is to end poisoned.

The three-attempt cap and the reuse of the same writer id are both right, and the comment explaining the hot-loop risk is a good one.

Separately, and not about this diff: #2731 is still open and implements this same feature with a different architecture (writer markers so the read side dedupes overlap, ack-evicted buffer, recycle inside the server ceiling). That design answered the retry problem by making a resend safe rather than forbidding it. Worth closing one of the two paths deliberately rather than by attrition.

await this.writeHttp(chunks);
return;
}
for (

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AI Review: Nit

This split cannot trigger at default settings: STREAM_WS_V1_MAX_CHUNKS_PER_WRITE is MAX_CHUNKS_PER_STREAM_WRITE (1000) and core caps a group at MAX_CHUNKS_PER_BATCH, also 1000, so chunks.length never exceeds one batch unless WORKFLOW_STREAM_MAX_CHUNKS_PER_BATCH is raised above the wire cap. The test covers it by doing exactly that, which is the right way to test it.

Worth a comment saying so, because the loop reads as a live path and it is really a guard against the two caps drifting apart. Note also that the split is by count only, with no byte budget, so the total frame size a batch produces is unbounded by anything in this function.

Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
@github-actions

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No backport to stable for d4817ce (AI decision).

This is feature work: it implements the client half of the new workflow-stream-ws/v1 WebSocket writer transport (new modules ws-stream-session.ts/ws-stream-connect.ts, a new drain control frame, and population of the createWriteSession seam) and carries a minor changeset. It also builds on main-only APIs — the stream-ws-protocol-v1 and ws-transport-enabled modules it imports do not exist on origin/stable. The docs edits are wording updates for this new capability, not corrections to behavior present on stable.

To override, re-run the Backport to stable workflow manually via workflow_dispatch and paste this commit SHA into the ref input:

d4817ce548216a48b155548be5b123483394f37a

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