Add SurrealDB as a community world - #3314

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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

AppPassedFailedSkipped
✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

AppPassedFailedSkipped
✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

AppPassedFailedSkipped
✅ nextjs-turbopack2700

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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@pranaygp@sepcnt
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Add SurrealDB as a community world - #3314

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pranaygp wants to merge 1 commit into
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Add SurrealDB as a community world#3314
pranaygp wants to merge 1 commit into
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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

When changesets are added to this PR, you'll see the packages that this PR includes changesets for and the associated semver types

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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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

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✅ astro-stable129026
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✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
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✅ sveltekit-stable14807
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✅ 🐘 Local Postgres

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✅ 🪟 Windows

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✅ 📋 Other

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✅ e2e-local-dev-nest-stable129026
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✅ e2e-local-postgres-tanstack-start-129026
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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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@pranaygp@sepcnt
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Add SurrealDB as a community world - #3314

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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

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✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
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✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

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❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

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✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
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✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

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✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

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✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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@pranaygp@sepcnt
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Add SurrealDB as a community world - #3314

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pranaygp wants to merge 1 commit into
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Add SurrealDB as a community world#3314
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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

When changesets are added to this PR, you'll see the packages that this PR includes changesets for and the associated semver types

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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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

AppPassedFailedSkipped
✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

AppPassedFailedSkipped
✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

AppPassedFailedSkipped
✅ nextjs-turbopack2700

📋 View full workflow run

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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@pranaygp@sepcnt
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Add SurrealDB as a community world - #3314

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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

When changesets are added to this PR, you'll see the packages that this PR includes changesets for and the associated semver types

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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ProjectDeploymentActionsUpdated (UTC)
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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

AppPassedFailedSkipped
✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

AppPassedFailedSkipped
✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

AppPassedFailedSkipped
✅ nextjs-turbopack2700

📋 View full workflow run

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Add SurrealDB as a community world - #3314

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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

AppPassedFailedSkipped
✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

AppPassedFailedSkipped
✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

AppPassedFailedSkipped
✅ nextjs-turbopack2700

📋 View full workflow run

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Add SurrealDB as a community world - #3314

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pranaygp wants to merge 1 commit into
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Add SurrealDB as a community world#3314
pranaygp wants to merge 1 commit into
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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

When changesets are added to this PR, you'll see the packages that this PR includes changesets for and the associated semver types

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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ProjectDeploymentActionsUpdated (UTC)
example-nextjs-workflow-turbopackReadyReadyPreviewAug 4, 2026 12:44am
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example-workflowReadyReadyPreviewAug 4, 2026 12:44am
workbench-astro-workflowReadyReadyPreviewAug 4, 2026 12:44am
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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
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✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

AppPassedFailedSkipped
✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

AppPassedFailedSkipped
✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

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✅ nextjs-turbopack2700

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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original PR merged

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Add SurrealDB as a community world - #3314

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Adopts #1579 by @sepcnt so CI can run — fork PRs never receive repo secrets, so the required e2e-vercel-prod lane can structurally never pass there. The commit is authored by @sepcnt with their DCO sign-off preserved.

What this adds

  • worlds-manifest.json: SurrealDB community world entry (workflow-world-surrealdb), with its container declared in the manifest's services array (generic docker service type)
  • e2e-community-world.yml: optional args support in the generic docker service runner — the surrealdb/surrealdb:v3 image has Entrypoint: ["/surreal"] and no default command, so a service definition must be able to pass the start subcommand and flags
  • Empty changeset (no packages changed), same pattern as the Platformatic world PR

The community-world e2e lane remains disabled (if: false) until community worlds implement the world.streams.* interface, so the SurrealDB job won't execute yet either way.

Closes#1579

🤖 Generated with Claude Code

Squashed and rebased onto main to resolve conflicts with the generic
docker community-world CI: the dedicated surrealdb service steps from
the original commits are replaced by the manifest-driven docker service
type, with a new optional `args` field so the service definition can
pass the `start` subcommand (and credentials) to the SurrealDB image.
Signed-off-by: sepcnt <30561671+sepcnt@users.noreply.github.com>
Signed-off-by: Pranay Prakash <pranay.gp@gmail.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@pranaygp
pranaygp requested a review from a team as a code ownerAugust 4, 2026 00:40
CopilotAI review requested due to automatic review settings August 4, 2026 00:40
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🦋 Changeset detected

Latest commit: ae4178a

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

This PR includes changesets to release 0 packages

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

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📊 Workflow Benchmarks

commit ae4178a · Tue, 04 Aug 2026 00:56:48 GMT · run logs

Backend: vercel · app: nextjs-turbopack

MetricScenarioBest (ms)P75 (ms)P90 (ms)P99 (ms)Samples
TTFSstep308 (-55%) 💚1410 🔴 (+48%) 🔻1443 🔴 (+45%) 🔻1469 🔴 (-10%)30
TTFSstream280 (-70%) 💚1362 🔴 (+39%) 🔻1373 🔴 (+38%) 🔻1492 🔴 (+46%) 🔻30
TTFShook + stream502 (+40%) 🔻1603 🔴 (+32%) 🔻1672 🔴 (+27%) 🔻1704 🔴 (-0.5%)30
STSO1020 steps (inline)89 (+6.0%)116 (-25%) 💚136 (-25%) 💚224 (-33%) 💚1019
WO1020 steps118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚118551 (-24%) 💚1
SLstream latency88 (-4.3%)147 🔴 (-39%) 💚173 🔴 (-73%) 💚210 🔴 (-86%) 💚30
SOstream overhead (text)91 (-32%) 💚136 (-48%) 💚162 (-49%) 💚201 (-52%) 💚30
SOstream overhead (structured)87 (-28%) 💚155 (-30%) 💚186 (-45%) 💚622 (-1.1%)30
📈 STSO distribution vs main (inline / queue-hop histograms)

1020 steps (inline)

Cumulative STSO time: main 152131ms → this run 117244ms (Δ -34887ms, -23%)

 50-100 ms █░┃ main 3 this 118 +115
100-150 ms ████████████████████░░░┃ main 713 this 842 +129
150-200 ms ┃██████ main 237 this 42 -195
200-250 ms ┃ main 40 this 10 -30
250-300 ms ┃ main 10 this 2 -8
300-350 ms ┃ main 6 this 2 -4
350-400 ms ┃ main 4 this 1 -3
400-450 ms ┃ main 0 this 1 +1
450-500 ms ┃ main 1 this 1 +0
550-600 ms ┃ main 1 this 0 -1
600-650 ms ┃ main 1 this 0 -1
1000-1050 ms ┃ main 1 this 0 -1
3350-3400 ms ┃ main 1 this 0 -1
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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🧪 E2E Test Results

Some tests failed

❌ Failed E2E Tests

💻 Local Development (1 failed)

astro-stable (1 failed):

  • webhookWorkflow | wrun_41KZ5666YN0GH57WJN46R443K0

E2E Test Summary

Summary
PassedFailedSkippedTotal
✅ ▲ Vercel Production293204783410
❌ 💻 Local Development163212271860
✅ 📦 Local Production163302271860
✅ 🐘 Local Postgres163302271860
✅ 🪟 Windows31000310
✅ 📋 Other128202681550
✅ vercel-multi-region270027
Total94491142710877
Details by Category

✅ ▲ Vercel Production

AppPassedFailedSkipped
✅ astro-node127028
✅ astro-quickjs127028
✅ example-node127028
✅ example-quickjs127028
✅ express-node127028
✅ express-quickjs127028
✅ fastify-node127028
✅ fastify-quickjs127028
✅ hono-node127028
✅ hono-quickjs127028
✅ nextjs-turbopack-node15203
✅ nextjs-turbopack-quickjs15203
✅ nextjs-webpack-node15203
✅ nextjs-webpack-quickjs15203
✅ nitro-node127028
✅ nitro-quickjs127028
✅ nuxt-node127028
✅ nuxt-quickjs127028
✅ sveltekit-node14609
✅ sveltekit-quickjs14609
✅ vite-node127028
✅ vite-quickjs127028

❌ 💻 Local Development

AppPassedFailedSkipped
❌ astro-stable128126
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 📦 Local Production

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🐘 Local Postgres

AppPassedFailedSkipped
✅ astro-stable129026
✅ express-stable129026
✅ fastify-stable129026
✅ hono-stable129026
✅ nextjs-turbopack-canary136019
✅ nextjs-turbopack-stable15500
✅ nextjs-webpack-canary136019
✅ nextjs-webpack-stable15500
✅ nitro-stable129026
✅ nuxt-stable129026
✅ sveltekit-stable14807
✅ vite-stable129026

✅ 🪟 Windows

AppPassedFailedSkipped
✅ nextjs-turbopack-node15500
✅ nextjs-turbopack-quickjs15500

✅ 📋 Other

AppPassedFailedSkipped
✅ e2e-local-dev-nest-stable129026
✅ e2e-local-dev-tanstack-start-129026
✅ e2e-local-postgres-nest-stable129026
✅ e2e-local-postgres-tanstack-start-129026
✅ e2e-local-prod-nest-stable129026
✅ e2e-local-prod-tanstack-start-129026
✅ e2e-vercel-prod-nest-node127028
✅ e2e-vercel-prod-nest-quickjs127028
✅ e2e-vercel-prod-tanstack-start-node127028
✅ e2e-vercel-prod-tanstack-start-quickjs127028

✅ vercel-multi-region

AppPassedFailedSkipped
✅ nextjs-turbopack2700

📋 View full workflow run

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Pull request overview

Adds a SurrealDB-backed “community world” entry to the repo’s worlds-manifest.json, and updates the community-world E2E workflow’s generic Docker service runner to support passing explicit command/argument lists to an image’s entrypoint (needed by the surrealdb/surrealdb:v3 image).

Changes:

  • Add surrealdb community world metadata (env + service container + setup command) to worlds-manifest.json.
  • Extend .github/workflows/e2e-community-world.yml generic docker service startup logic to append optional manifest-provided args after the image name.
  • Add an empty-frontmatter changeset documenting the manifest + workflow update without bumping packages.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

FileDescription
worlds-manifest.jsonRegisters the SurrealDB community world and declares its service container + required env/setup for CI execution.
.github/workflows/e2e-community-world.ymlLets manifest-defined docker services pass command args to container entrypoints (required for SurrealDB v3 startup).
.changeset/add-surrealdb-world.mdRecords the change while intentionally producing no package releases.

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@pranaygp

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original PR merged

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