FE-1607: Update to vite 8.2.2

[alex-e-leon]

🌟 What is the purpose of this PR?

Update all workspaces to vite 8.2.2

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

• does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

• are internal and do not require a docs change

[vercel]

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Project	Deployment	Actions	Updated
hash	Ready	Preview	Sep 7, 2026 10:48am UTC
hashdotdesign-tokens	Ready	Preview	Sep 7, 2026 10:48am UTC
petrinaut	Ready	Preview	Sep 7, 2026 10:48am UTC
petrinaut-docs	Ready	Preview	Sep 7, 2026 10:48am UTC

[cursor]

PR Summary

Medium Risk
Build and test pipelines change across many workspaces, including ds-components jumping Vite major versions and enabling the React Compiler, which can surface compile-time or bundle behavior differences.

Overview
Aligns the monorepo on Vite 8.2.2 (from 8.1.0 in Brunch, Petrinaut, hash-ai-worker-ts, and related packages) and refreshes the lockfile to the matching rolldown ~1.2 toolchain.

@hashintel/ds-components moves off Vite 7 to 8.2.2, upgrades @vitejs/plugin-react to 6.1.0, adds oxc-transform-react, and extends vite.config.ts: React 19 Compiler runs for Ladle build, Vitest, and plain Vite, but @vitejs/plugin-react is skipped during ladle serve (Ladle’s bundled Vite 6 breaks the plugin’s fast refresh). CSS minification is set to esbuild.

yarn.config.cjs stops ignoring vite and @vitejs/plugin-react, so Yarn constraints now enforce a single version across workspaces instead of allowing Petrinaut-only drift.

^{Reviewed by Cursor Bugbot for commit 5354fbd. Bugbot is set up for automated code reviews on this repo. Configure here.}

[kube]

Thanks!

[codspeed-hq]

Merging this PR will degrade performance by 15.93%

⚠️ 6 benchmarks measured no execution time

Nothing ran under measurement, usually because the compiler removed the code under test. These results are not comparable, so they count as unchanged.

Preventing compiler optimizations

❌ 2 regressed benchmarks
✅ 96 untouched benchmarks

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	bit_matrix/dense/iter_row[64]	137.2 ns	166.4 ns	-17.53%
❌	bit_matrix/dense/iter_row[200]	174.7 ns	203.9 ns	-14.31%
⚠️	as_constant	< 1 ns	< 1 ns	N/A
⚠️	constant_equal	< 1 ns	< 1 ns	N/A
⚠️	constant_not_equal	< 1 ns	< 1 ns	N/A
⚠️	access	< 1 ns	< 1 ns	N/A
⚠️	runtime_equal	< 1 ns	< 1 ns	N/A
⚠️	runtime_not_equal	< 1 ns	< 1 ns	N/A

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing FE-1607 (5354fbd) with main (23b4c0b)}

[cursor]

Stale Bugbot comment from a previous run.

[cursor]

Cursor Bugbot has reviewed your changes and found 1 potential issue.

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^{Reviewed by Cursor Bugbot for commit 95a003b. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 65.93%. Comparing base (50327ec) to head (5354fbd).
⚠️ Report is 3 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #9560   +/-   ##
=======================================
  Coverage   65.93%   65.93%           
=======================================
  Files        1884     1884           
  Lines      198146   198146           
  Branches     8230     8230           
=======================================
+ Hits       130643   130644    +1     
  Misses      65973    65973           
+ Partials     1530     1529    -1     

Flag	Coverage Δ
apps.hash-ai-worker-ts	1.99% <ø> (ø)
apps.hash-api	15.41% <ø> (ø)

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[github-actions]

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$28.7 \mathrm{ms} \pm 285 \mathrm{μs}\left({\color{gray}-0.976 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.72 \mathrm{ms} \pm 30.6 \mathrm{μs}\left({\color{gray}-1.315 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$14.3 \mathrm{ms} \pm 116 \mathrm{μs}\left({\color{gray}0.118 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$45.7 \mathrm{ms} \pm 502 \mathrm{μs}\left({\color{gray}-2.364 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.6 \mathrm{ms} \pm 178 \mathrm{μs}\left({\color{gray}-3.940 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$25.5 \mathrm{ms} \pm 222 \mathrm{μs}\left({\color{gray}-4.064 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$29.6 \mathrm{ms} \pm 288 \mathrm{μs}\left({\color{gray}0.791 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.97 \mathrm{ms} \pm 28.0 \mathrm{μs}\left({\color{gray}-0.441 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$15.0 \mathrm{ms} \pm 149 \mathrm{μs}\left({\color{gray}-0.863 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.94 \mathrm{ms} \pm 33.8 \mathrm{μs}\left({\color{gray}-1.725 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.11 \mathrm{ms} \pm 17.9 \mathrm{μs}\left({\color{gray}-3.977 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.51 \mathrm{ms} \pm 21.5 \mathrm{μs}\left({\color{gray}-3.366 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.52 \mathrm{ms} \pm 55.1 \mathrm{μs}\left({\color{gray}-1.366 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.68 \mathrm{ms} \pm 26.2 \mathrm{μs}\left({\color{gray}-4.833 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.33 \mathrm{ms} \pm 36.7 \mathrm{μs}\left({\color{lightgreen}-5.270 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.59 \mathrm{ms} \pm 32.3 \mathrm{μs}\left({\color{gray}-2.780 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.52 \mathrm{ms} \pm 27.4 \mathrm{μs}\left({\color{lightgreen}-5.963 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.31 \mathrm{ms} \pm 33.0 \mathrm{μs}\left({\color{gray}-3.201 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.88 \mathrm{ms} \pm 22.1 \mathrm{μs}\left({\color{gray}-1.708 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.80 \mathrm{ms} \pm 14.8 \mathrm{μs}\left({\color{gray}-1.867 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.98 \mathrm{ms} \pm 21.6 \mathrm{μs}\left({\color{gray}0.040 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.19 \mathrm{ms} \pm 25.3 \mathrm{μs}\left({\color{gray}-4.251 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.00 \mathrm{ms} \pm 21.7 \mathrm{μs}\left({\color{gray}-0.800 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.28 \mathrm{ms} \pm 25.0 \mathrm{μs}\left({\color{gray}-2.202 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.19 \mathrm{ms} \pm 23.0 \mathrm{μs}\left({\color{gray}-0.239 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.83 \mathrm{ms} \pm 20.2 \mathrm{μs}\left({\color{gray}-2.971 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$3.04 \mathrm{ms} \pm 18.6 \mathrm{μs}\left({\color{gray}-3.760 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.63 \mathrm{ms} \pm 24.8 \mathrm{μs}\left({\color{gray}-3.089 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.10 \mathrm{ms} \pm 22.0 \mathrm{μs}\left({\color{gray}-3.089 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.42 \mathrm{ms} \pm 21.3 \mathrm{μs}\left({\color{gray}-2.441 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.56 \mathrm{ms} \pm 26.5 \mathrm{μs}\left({\color{gray}-3.093 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.10 \mathrm{ms} \pm 19.7 \mathrm{μs}\left({\color{gray}-3.171 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.44 \mathrm{ms} \pm 26.6 \mathrm{μs}\left({\color{gray}-2.009 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$33.1 \mathrm{ms} \pm 184 \mathrm{μs}\left({\color{gray}-2.281 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$73.4 \mathrm{ms} \pm 610 \mathrm{μs}\left({\color{gray}-2.052 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$37.1 \mathrm{ms} \pm 219 \mathrm{μs}\left({\color{gray}-2.132 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$40.8 \mathrm{ms} \pm 237 \mathrm{μs}\left({\color{gray}-1.966 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$43.5 \mathrm{ms} \pm 356 \mathrm{μs}\left({\color{gray}-2.126 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$34.1 \mathrm{ms} \pm 229 \mathrm{μs}\left({\color{lightgreen}-5.747 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$426 \mathrm{ms} \pm 1.34 \mathrm{ms}\left({\color{gray}0.170 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$93.0 \mathrm{ms} \pm 655 \mathrm{μs}\left({\color{gray}-4.745 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$80.4 \mathrm{ms} \pm 507 \mathrm{μs}\left({\color{gray}-3.314 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$279 \mathrm{ms} \pm 1.31 \mathrm{ms}\left({\color{gray}-4.593 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$10.5 \mathrm{ms} \pm 67.2 \mathrm{μs}\left({\color{lightgreen}-6.984 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$10.8 \mathrm{ms} \pm 88.4 \mathrm{μs}\left({\color{lightgreen}-6.206 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$11.1 \mathrm{ms} \pm 74.2 \mathrm{μs}\left({\color{gray}-1.583 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$10.6 \mathrm{ms} \pm 76.4 \mathrm{μs}\left({\color{lightgreen}-6.594 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$11.2 \mathrm{ms} \pm 96.1 \mathrm{μs}\left({\color{gray}-3.192 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$11.0 \mathrm{ms} \pm 77.7 \mathrm{μs}\left({\color{gray}-0.305 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$10.8 \mathrm{ms} \pm 72.7 \mathrm{μs}\left({\color{gray}2.19 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$10.8 \mathrm{ms} \pm 94.7 \mathrm{μs}\left({\color{gray}-0.585 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$11.2 \mathrm{ms} \pm 95.9 \mathrm{μs}\left({\color{gray}-3.785 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.3 \mathrm{ms} \pm 81.1 \mathrm{μs}\left({\color{gray}-1.891 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1	$$11.4 \mathrm{ms} \pm 110 \mathrm{μs}\left({\color{gray}-3.735 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$11.4 \mathrm{ms} \pm 84.7 \mathrm{μs}\left({\color{gray}-2.460 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$11.1 \mathrm{ms} \pm 80.9 \mathrm{μs}\left({\color{lightgreen}-8.000 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$11.5 \mathrm{ms} \pm 79.5 \mathrm{μs}\left({\color{gray}-2.459 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$10.9 \mathrm{ms} \pm 76.7 \mathrm{μs}\left({\color{lightgreen}-7.584 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$11.3 \mathrm{ms} \pm 104 \mathrm{μs}\left({\color{gray}-3.954 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$11.0 \mathrm{ms} \pm 85.4 \mathrm{μs}\left({\color{lightgreen}-9.287 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$11.4 \mathrm{ms} \pm 85.4 \mathrm{μs}\left({\color{gray}-4.390 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$11.3 \mathrm{ms} \pm 81.3 \mathrm{μs}\left({\color{gray}-4.650 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$7.96 \mathrm{ms} \pm 49.0 \mathrm{μs}\left({\color{lightgreen}-9.003 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$59.3 \mathrm{ms} \pm 506 \mathrm{μs}\left({\color{gray}-3.353 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$111 \mathrm{ms} \pm 625 \mathrm{μs}\left({\color{gray}-3.276 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$65.3 \mathrm{ms} \pm 499 \mathrm{μs}\left({\color{gray}-2.903 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$74.3 \mathrm{ms} \pm 676 \mathrm{μs}\left({\color{gray}-3.377 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$81.3 \mathrm{ms} \pm 692 \mathrm{μs}\left({\color{lightgreen}-6.157 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$88.8 \mathrm{ms} \pm 647 \mathrm{μs}\left({\color{lightgreen}-7.109 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$46.3 \mathrm{ms} \pm 368 \mathrm{μs}\left({\color{gray}-3.773 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$74.5 \mathrm{ms} \pm 507 \mathrm{μs}\left({\color{gray}-1.161 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$52.7 \mathrm{ms} \pm 324 \mathrm{μs}\left({\color{gray}-3.661 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$62.1 \mathrm{ms} \pm 407 \mathrm{μs}\left({\color{gray}-2.466 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$64.0 \mathrm{ms} \pm 559 \mathrm{μs}\left({\color{gray}-0.189 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$63.7 \mathrm{ms} \pm 480 \mathrm{μs}\left({\color{gray}-1.079 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$115 \mathrm{ms} \pm 680 \mathrm{μs}\left({\color{gray}0.333 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$126 \mathrm{ms} \pm 782 \mathrm{μs}\left({\color{gray}0.327 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$23.5 \mathrm{ms} \pm 169 \mathrm{μs}\left({\color{lightgreen}-6.940 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$507 \mathrm{ms} \pm 1.48 \mathrm{ms}\left({\color{gray}-3.153 \mathrm{\%}}\right) $$	Flame Graph