feat(world): batch analytics event lookups - #3390

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alangenfeld merged 1 commit into
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alangenfeld/workflow-batch-event-provenance-plan
Aug 12, 2026
Merged

feat(world): batch analytics event lookups#3390
alangenfeld merged 1 commit into
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alangenfeld/workflow-batch-event-provenance-plan

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@alangenfeldalangenfeld commented Aug 7, 2026

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Summary & Motivation

Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.

Test Plan

Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.

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🦋 Changeset detected

Latest commit: b86d21b

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

This PR includes changesets to release 20 packages
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@workflow/worldMinor
@workflow/world-vercelMinor
@workflow/cliPatch
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@workflow/world-localPatch
@workflow/world-postgresPatch
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workflowPatch
@workflow/buildersPatch
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@workflow/nitroPatch
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🧪 E2E Test Results

✅ All tests passed

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
✅ example-quickjs128028
✅ express-node128028
✅ express-quickjs128028
✅ fastify-node128028
✅ fastify-quickjs128028
✅ hono-node128028
✅ hono-quickjs128028
✅ nest-node128028
✅ nest-quickjs128028
✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
✅ nextjs-webpack-quickjs15303
✅ nitro-node128028
✅ nitro-quickjs128028
✅ nuxt-node128028
✅ nuxt-quickjs128028
✅ sveltekit-node14709
✅ sveltekit-quickjs14709
✅ tanstack-start-node128028
✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028

✅ 💻 Local Development

AppPassedFailedSkipped
✅ astro-stable-node130026
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✅ express-stable-node130026
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✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026

✅ 🪟 Windows

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✅ nextjs-turbopack-node15600
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📋 View full workflow run

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📊 Workflow Benchmarks

commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)

 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1
📜 Previous results (2)

df8d0c8

Fri, 07 Aug 2026 19:46:53 GMT · run logs

vercel / nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30

a3bc1bf

Fri, 07 Aug 2026 17:49:30 GMT · run logs

vercel / nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology

The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.

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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)

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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost

🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000

All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.

Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.

@alangenfeld
alangenfeldforce-pushed the alangenfeld/workflow-batch-event-provenance-plan branch from a3bc1bf to df8d0c8CompareAugust 7, 2026 19:28
@alangenfeld
feat(world): batch analytics event lookups
b86d21b
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
@alangenfeld
alangenfeldforce-pushed the alangenfeld/workflow-batch-event-provenance-plan branch from df8d0c8 to b86d21bCompareAugust 10, 2026 14:47
@alangenfeld
alangenfeld merged commit 600b096 into mainAug 12, 2026
416 of 425 checks passed
@alangenfeld
alangenfeld deleted the alangenfeld/workflow-batch-event-provenance-plan branch August 12, 2026 13:56
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No backport to stable for 600b096 (AI decision).

This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:

600b096d2fa5423b742683fcd047010a1f1bfcd6

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feat(world): batch analytics event lookups - #3390
Merged
alangenfeld merged 1 commit into
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alangenfeld/workflow-batch-event-provenance-plan
Aug 12, 2026
Merged
feat(world): batch analytics event lookups#3390
alangenfeld merged 1 commit into
mainfrom 
alangenfeld/workflow-batch-event-provenance-plan
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@alangenfeld
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Aug 7, 2026

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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
NameType
@workflow/worldMinor
@workflow/world-vercelMinor
@workflow/cliPatch
@workflow/corePatch
@workflow/vitestPatch
@workflow/web-sharedPatch
@workflow/webPatch
@workflow/world-localPatch
@workflow/world-postgresPatch
@workflow/world-testingPatch
workflowPatch
@workflow/buildersPatch
@workflow/nextPatch
@workflow/nitroPatch
@workflow/astroPatch
@workflow/nestPatch
@workflow/rollupPatch
@workflow/sveltekitPatch
@workflow/vitePatch
@workflow/nuxtPatch
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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
✅ ▲ Vercel Production
AppPassedFailedSkipped
✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
✅ example-quickjs128028
✅ express-node128028
✅ express-quickjs128028
✅ fastify-node128028
✅ fastify-quickjs128028
✅ hono-node128028
✅ hono-quickjs128028
✅ nest-node128028
✅ nest-quickjs128028
✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
✅ nextjs-webpack-quickjs15303
✅ nitro-node128028
✅ nitro-quickjs128028
✅ nuxt-node128028
✅ nuxt-quickjs128028
✅ sveltekit-node14709
✅ sveltekit-quickjs14709
✅ tanstack-start-node128028
✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028
✅ 💻 Local Development
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
b86d21b
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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feat(world): batch analytics event lookups - #3390
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feat(world): batch analytics event lookups#3390
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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
NameType
@workflow/worldMinor
@workflow/world-vercelMinor
@workflow/cliPatch
@workflow/corePatch
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workflowPatch
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@workflow/nextPatch
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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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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
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✅ astro-quickjs128028
✅ example-node128028
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✅ express-node128028
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✅ fastify-node128028
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✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
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✅ nitro-node128028
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✅ nuxt-node128028
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✅ sveltekit-quickjs14709
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✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028
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✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
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✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
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✅ hono-stable-node130026
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✅ nitro-stable-node130026
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✅ vite-stable-node130026
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
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Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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feat(world): batch analytics event lookups - #3390
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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
✅ ▲ Vercel Production
AppPassedFailedSkipped
✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
✅ example-quickjs128028
✅ express-node128028
✅ express-quickjs128028
✅ fastify-node128028
✅ fastify-quickjs128028
✅ hono-node128028
✅ hono-quickjs128028
✅ nest-node128028
✅ nest-quickjs128028
✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
✅ nextjs-webpack-quickjs15303
✅ nitro-node128028
✅ nitro-quickjs128028
✅ nuxt-node128028
✅ nuxt-quickjs128028
✅ sveltekit-node14709
✅ sveltekit-quickjs14709
✅ tanstack-start-node128028
✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028
✅ 💻 Local Development
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 📦 Local Production
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✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🐘 Local Postgres
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🪟 Windows
AppPassedFailedSkipped
✅ nextjs-turbopack-node15600
✅ nextjs-turbopack-quickjs15600
✅ vercel-multi-region
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✅ nextjs-turbopack2700
📋 View full workflow run
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
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Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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feat(world): batch analytics event lookups - #3390
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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
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@workflow/worldMinor
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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
✅ ▲ Vercel Production
AppPassedFailedSkipped
✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
✅ example-quickjs128028
✅ express-node128028
✅ express-quickjs128028
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✅ fastify-quickjs128028
✅ hono-node128028
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✅ nest-node128028
✅ nest-quickjs128028
✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
✅ nextjs-webpack-quickjs15303
✅ nitro-node128028
✅ nitro-quickjs128028
✅ nuxt-node128028
✅ nuxt-quickjs128028
✅ sveltekit-node14709
✅ sveltekit-quickjs14709
✅ tanstack-start-node128028
✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028
✅ 💻 Local Development
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 📦 Local Production
AppPassedFailedSkipped
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✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🐘 Local Postgres
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
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✅ hono-stable-node130026
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✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
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✅ nextjs-webpack-stable-node15600
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✅ nitro-stable-node130026
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✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🪟 Windows
AppPassedFailedSkipped
✅ nextjs-turbopack-node15600
✅ nextjs-turbopack-quickjs15600
✅ vercel-multi-region
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✅ nextjs-turbopack2700
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
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Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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feat(world): batch analytics event lookups - #3390
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feat(world): batch analytics event lookups#3390
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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
NameType
@workflow/worldMinor
@workflow/world-vercelMinor
@workflow/cliPatch
@workflow/corePatch
@workflow/vitestPatch
@workflow/web-sharedPatch
@workflow/webPatch
@workflow/world-localPatch
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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
✅ ▲ Vercel Production
AppPassedFailedSkipped
✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
✅ example-quickjs128028
✅ express-node128028
✅ express-quickjs128028
✅ fastify-node128028
✅ fastify-quickjs128028
✅ hono-node128028
✅ hono-quickjs128028
✅ nest-node128028
✅ nest-quickjs128028
✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
✅ nextjs-webpack-quickjs15303
✅ nitro-node128028
✅ nitro-quickjs128028
✅ nuxt-node128028
✅ nuxt-quickjs128028
✅ sveltekit-node14709
✅ sveltekit-quickjs14709
✅ tanstack-start-node128028
✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028
✅ 💻 Local Development
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
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✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
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✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 📦 Local Production
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
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✅ nextjs-turbopack-canary-node137019
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✅ nextjs-webpack-canary-quickjs137019
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✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
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✅ nuxt-stable-node130026
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✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
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✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
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✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🪟 Windows
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✅ nextjs-turbopack-node15600
✅ nextjs-turbopack-quickjs15600
✅ vercel-multi-region
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✅ nextjs-turbopack2700
📋 View full workflow run
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
b86d21b
Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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feat(world): batch analytics event lookups - #3390
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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
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@workflow/worldMinor
@workflow/world-vercelMinor
@workflow/cliPatch
@workflow/corePatch
@workflow/vitestPatch
@workflow/web-sharedPatch
@workflow/webPatch
@workflow/world-localPatch
@workflow/world-postgresPatch
@workflow/world-testingPatch
workflowPatch
@workflow/buildersPatch
@workflow/nextPatch
@workflow/nitroPatch
@workflow/astroPatch
@workflow/nestPatch
@workflow/rollupPatch
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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
✅ ▲ Vercel Production
AppPassedFailedSkipped
✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
✅ example-quickjs128028
✅ express-node128028
✅ express-quickjs128028
✅ fastify-node128028
✅ fastify-quickjs128028
✅ hono-node128028
✅ hono-quickjs128028
✅ nest-node128028
✅ nest-quickjs128028
✅ nextjs-turbopack-node15303
✅ nextjs-turbopack-quickjs15303
✅ nextjs-webpack-node15303
✅ nextjs-webpack-quickjs15303
✅ nitro-node128028
✅ nitro-quickjs128028
✅ nuxt-node128028
✅ nuxt-quickjs128028
✅ sveltekit-node14709
✅ sveltekit-quickjs14709
✅ tanstack-start-node128028
✅ tanstack-start-quickjs128028
✅ vite-node128028
✅ vite-quickjs128028
✅ 💻 Local Development
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 📦 Local Production
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🐘 Local Postgres
AppPassedFailedSkipped
✅ astro-stable-node130026
✅ astro-stable-quickjs130026
✅ express-stable-node130026
✅ express-stable-quickjs130026
✅ fastify-stable-node130026
✅ fastify-stable-quickjs130026
✅ hono-stable-node130026
✅ hono-stable-quickjs130026
✅ nest-stable-node130026
✅ nest-stable-quickjs130026
✅ nextjs-turbopack-canary-node137019
✅ nextjs-turbopack-canary-quickjs137019
✅ nextjs-turbopack-stable-node15600
✅ nextjs-turbopack-stable-quickjs15600
✅ nextjs-webpack-canary-node137019
✅ nextjs-webpack-canary-quickjs137019
✅ nextjs-webpack-stable-node15600
✅ nextjs-webpack-stable-quickjs15600
✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
✅ tanstack-start-quickjs130026
✅ vite-stable-node130026
✅ vite-stable-quickjs130026
✅ 🪟 Windows
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
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Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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feat(world): batch analytics event lookups - #3390
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feat(world): batch analytics event lookups#3390
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Summary & Motivation
Adds events.getMany to the analytics API, letting dashboard consumers enrich canonical event pages with ClickHouse provenance in one bounded, deduplicated batch request instead of N point lookups. Coordinated with a workflow-server batch endpoint.
Test Plan
Added unit tests for the client and schema; also ran Biome checks, git diff --check, and world-vercel typecheck.
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🦋 Changeset detected
Latest commit: b86d21b
The changes in this PR will be included in the next version bump.
This PR includes changesets to release 20 packages
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🧪 E2E Test Results
✅ All tests passed
E2E Test Summary
Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production346605904056
✅ 💻 Local Development381005584368
✅ 📦 Local Production381005584368
✅ 🐘 Local Postgres381005584368
✅ 🪟 Windows31200312
✅ vercel-multi-region270027
Total152350226417499
Details by Category
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✅ astro-node128028
✅ astro-quickjs128028
✅ example-node128028
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✅ express-node128028
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✅ nextjs-turbopack-node15303
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✅ nitro-stable-node130026
✅ nitro-stable-quickjs130026
✅ nuxt-stable-node130026
✅ nuxt-stable-quickjs130026
✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
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✅ nitro-stable-node130026
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✅ nuxt-stable-node130026
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✅ sveltekit-stable-node14907
✅ sveltekit-stable-quickjs14907
✅ tanstack-start-node130026
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✅ vite-stable-node130026
✅ vite-stable-quickjs130026
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📊 Workflow Benchmarks
commit b86d21b · Mon, 10 Aug 2026 15:07:13 GMT · run logs
Backend: vercel · app: nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep290 (+27%) 🔻1473 🔴 (+36%) 🔻1523 🔴 (+36%) 🔻1624 🔴 (+36%) 🔻30
TTFSstream1332 (+503%) 🔻1450 🔴 (+34%) 🔻1471 🔴 (+34%) 🔻1566 🔴 (+33%) 🔻30
TTFShook + stream564 (+66%) 🔻1656 🔴 (+24%) 🔻1690 🔴 (+24%) 🔻1748 🔴 (+16%) 🔻30
STSO1020 steps (inline)93 (-13%)142 (-9.0%)164 (-8.4%)316 (-0.6%)1019
WO1020 steps143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)143650 (-7.3%)1
SLstream latency109 (+16%) 🔻167 🔴 (+15%) 🔻243 🔴 (+29%) 🔻389 🔴 (-52%) 💚30
SOstream overhead (text)125 (-11%)178 (-38%) 💚197 (-38%) 💚397 (-71%) 💚30
SOstream overhead (structured)125 (-14%)183 (-59%) 💚201 (-76%) 💚310 (-71%) 💚30
📈 STSO distribution vs main (inline / queue-hop histograms)
1020 steps (inline)
Cumulative STSO time: main 153980ms → this run 142230ms (Δ -11750ms, -8%)
 50-100 ms ┃ main 0 this 1 +1
100-150 ms ███████████████████░░░░┃ main 677 this 849 +172
150-200 ms ██┃█████ main 282 this 118 -164
200-250 ms ┃ main 31 this 27 -4
250-300 ms ┃ main 15 this 13 -2
300-350 ms ┃ main 7 this 3 -4
350-400 ms ┃ main 1 this 4 +3
400-450 ms ┃ main 2 this 1 -1
450-500 ms ┃ main 2 this 1 -1
700-750 ms ┃ main 0 this 1 +1
900-950 ms ┃ main 2 this 0 -2
1650-1700 ms ┃ main 0 this 1 +1

📜 Previous results (2)
df8d0c8
Fri, 07 Aug 2026 19:46:53 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1302 (+22%) 🔻1402 🔴 (+18%) 🔻1427 🔴 (+14%)1469 🔴 (-17%) 💚30
TTFSstream222 (-80%) 💚1361 🔴 (+11%)1400 🔴 (+10%)1485 🔴 (+9.8%)30
TTFShook + stream1545 (+13%)1708 🔴 (+15%) 🔻1729 🔴 (+13%)1976 🔴 (+19%) 🔻30
STSO1020 steps (inline)75 (-40%) 💚127 (-25%) 💚147 (-25%) 💚252 (-28%) 💚1019
WO1020 steps127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚127673 (-24%) 💚1
SLstream latency87 (-26%) 💚121 🔴 (-28%) 💚141 🔴 (-32%) 💚451 🔴 (-28%) 💚30
SOstream overhead (text)104 (-29%) 💚163 (-25%) 💚173 (-38%) 💚230 (-35%) 💚30
SOstream overhead (structured)108 (-31%) 💚177 (-28%) 💚228 (-45%) 💚761 (-85%) 💚30
a3bc1bf
Fri, 07 Aug 2026 17:49:30 GMT · run logs
vercel / nextjs-turbopack
MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep1325 (+24%) 🔻1416 🔴 (+19%) 🔻1463 🔴 (+16%) 🔻1613 🔴 (-9.1%)30
TTFSstream247 (-77%) 💚1378 🔴 (+12%)1413 🔴 (+11%)1553 🔴 (+15%)30
TTFShook + stream1387 (+1.8%)1792 🔴 (+21%) 🔻1839 🔴 (+20%) 🔻2045 🔴 (+24%) 🔻30
STSO1020 steps (inline)121 (-2.4%)166 (-1.8%)193 (-1.0%)292 (-16%) 💚1018
STSO1020 steps (queue-hop)34053405340534051
WO1020 steps169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)169924 (+1.4%)1
SLstream latency133 (+14%)183 🔴 (+8.9%)217 🔴 (+4.3%)376 🔴 (-40%) 💚30
SOstream overhead (text)151 (+2.7%)226 (+3.7%)313 (+13%)2039 🔴 (+479%) 🔻30
SOstream overhead (structured)156 (-0.6%)218 (-12%)245 (-41%) 💚335 (-93%) 💚30
ℹ️ Metric definitions & methodology
The collapsed STSO distribution section above buckets every step gap of the sequential-steps run (not a sampled window), split by whether the step ending the gap ran inline — in the same warm process as the step before it, so the gap is pure framework overhead — or after a queue-hop — the first step of a fresh process, which pays queue dispatch, client reinit and event-log replay. Bars overlay the two runs: █ is main, ┃ marks where this run lands, ░ bridges the gap when this run has more samples in a bucket.
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, deployment clocks) · STSO: step-to-step overhead (gap between consecutive step bodies) · WO: workflow overhead (whole-run time outside step bodies, in-deployment anchored) · SL: stream latency (in-deployment write → read propagation, readAt - writtenAt) · SO: stream overhead (end-to-end write+consume time beyond the modelled generation window)
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 · stream latency: parallel reader/writer steps on a dedicated stream; SL is the in-deployment write->read propagation (readAt - writtenAt) · stream overhead (text): writer streams 300 variable-length text token deltas paced at 100/s for 3s (a haiku-size LLM's token throughput) while a parallel reader drains the whole stream; SO is the end-to-end write+consume time beyond the 3s generation window (overhead/backpressure) · stream overhead (structured): same workload as stream overhead (text), but each delta is an AI-SDK-style structured object ({ type: 'text-delta', id, text }) instead of a raw string, so the SO gap vs the text scenario is the added serialization cost
🔴 marks a percentile over its target (within target is left unmarked). Targets (p75/p90/p99, ms) — TTFS 200/300/600 · SL 50/60/125 · SO 250/500/1000
All metrics are measured from deployment-side timestamps only. Runs are triggered by an in-deployment route that stamps the anchor (clientStart) right before start(), so the CI runner’s request and its path through api.vercel.com sit outside every measured window. TTFS = in-deployment start() → first step body (turbo uses the in-process fast path, non-turbo the dispatch path), and includes the VQS dispatch hop plus any /flow cold start. STSO/WO are measured between step bodies on the deployment. SL is measured inside the workflow (parallel reader/writer steps), so it no longer includes the api.vercel.com read path.
Cold starts are kept in the numbers on purpose — they are part of real bursty-workload latency. The workbench deployment cold-starts the /flow invocation for a large fraction of runs, inflating P75+; the Best column shows the fastest (warm-start) sample for comparison.
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feat(world): batch analytics event lookups
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Signed-off-by: Alex Langenfeld <alex.langenfeld@vercel.com>
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No backport to stable for 600b096 (AI decision).
This commit adds a new events.getMany batch lookup to the analytics API surface (plus a new exported ANALYTICS_EVENTS_GET_MANY_LIMIT constant and a new world-vercel client method), which is purely additive feature work carrying a minor changeset. It also depends on a coordinated new workflow-server batch endpoint, so it adds capability rather than fixing any defect 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:
600b096d2fa5423b742683fcd047010a1f1bfcd6


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