(WIP) FE-666: Monte Carlo Simulation with Metrics by kube · Pull Request #8709 · hashintel/hash

kube · 2026-05-10T13:49:18Z

🌟 What is the purpose of this PR?

Improve Petrinaut simulation and playback internals so the current engine is easier to reason about and better prepared for efficient frame storage, stable worker communication, and future stochastic runs.

🔗 Related links

None

🚫 Blocked by

None.

🔍 What does this change?

Adds a Simulation Engine v2 RFC covering binary frames, stable protocol boundaries, windowed storage, JSON-serializable messages, and seeded stochastic simulation.
Separates public simulation APIs from internal frame/runtime/authoring modules and introduces SimulationFrameReader.
Removes transition instances from stored frames and keeps frame access behind reader/domain-view APIs.
Splits Simulation Timeline into focused chart, header, legend, and series-config modules.
Simplifies playback/simulation lifecycle, including compute vs view-only modes, stale simulation invalidation, and provider remounting on net switch.

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

I am unsure / need advice

📜 Does this require a change to the docs?

The changes in this PR:

require changes to docs which are made as part of this PR

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

do not affect the execution graph

⚠️ Known issues

Publishing/versioning still needs confirmation because this touches @hashintel/petrinaut.

🐾 Next steps

Continue narrowing the Simulation Engine v2 RFC before implementing the binary storage/protocol redesign.

🛡 What tests cover this?

yarn fix:eslint
yarn workspace @hashintel/petrinaut lint:tsc
yarn workspace @hashintel/petrinaut lint:eslint
yarn workspace @hashintel/petrinaut build
Focused Petrinaut simulation/playback unit tests

❓ How to test this?

Run a Petrinaut simulation from the editor.
Switch scenarios/settings and confirm playback recomputes instead of showing only the first frame.
Open Simulation Timeline and confirm per-place, per-type, per-transition, and metric views render.

📹 Demo

Not included.

vercel · 2026-05-10T13:49:23Z

The latest updates on your projects. Learn more about Vercel for GitHub.

Project	Deployment	Actions	Updated (UTC)
hash	Ready	Preview, Comment	May 10, 2026 1:56pm
petrinaut	Ready	Preview, Comment	May 10, 2026 1:56pm

1 Skipped Deployment

Project	Deployment	Actions	Updated (UTC)
hashdotdesign-tokens	Ignored		May 10, 2026 1:56pm

codecov · 2026-05-10T13:53:54Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 62.34%. Comparing base (b922dd2) to head (a880232).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #8709      +/-   ##
==========================================
- Coverage   62.34%   62.34%   -0.01%     
==========================================
  Files        1349     1349              
  Lines      136384   136384              
  Branches     5750     5750              
==========================================
- Hits        85032    85031       -1     
- Misses      50445    50446       +1     
  Partials      907      907

Flag	Coverage Δ
apps.hash-ai-worker-ts	`1.41% <ø> (ø)`
apps.hash-api	`0.00% <ø> (ø)`
blockprotocol.type-system	`40.84% <ø> (ø)`
local.claude-hooks	`0.00% <ø> (ø)`
local.harpc-client	`51.24% <ø> (ø)`
local.hash-backend-utils	`0.00% <ø> (ø)`
local.hash-graph-sdk	`9.63% <ø> (ø)`
local.hash-isomorphic-utils	`0.00% <ø> (ø)`
rust.antsi	`0.00% <ø> (ø)`
rust.error-stack	`90.87% <ø> (ø)`
rust.harpc-codec	`84.70% <ø> (ø)`
rust.harpc-net	`96.21% <ø> (-0.02%)`	⬇️
rust.harpc-tower	`67.03% <ø> (ø)`
rust.harpc-types	`0.00% <ø> (ø)`
rust.harpc-wire-protocol	`92.23% <ø> (ø)`
rust.hash-codec	`72.76% <ø> (ø)`
rust.hash-graph-api	`2.52% <ø> (ø)`
rust.hash-graph-authorization	`62.34% <ø> (ø)`
rust.hash-graph-postgres-store	`26.38% <ø> (ø)`
rust.hash-graph-store	`37.76% <ø> (ø)`
rust.hash-graph-temporal-versioning	`47.95% <ø> (ø)`
rust.hash-graph-types	`0.00% <ø> (ø)`
rust.hash-graph-validation	`83.45% <ø> (ø)`
rust.hashql-ast	`87.23% <ø> (ø)`
rust.hashql-compiletest	`29.63% <ø> (ø)`
rust.hashql-core	`82.38% <ø> (ø)`
rust.hashql-diagnostics	`72.43% <ø> (ø)`
rust.hashql-eval	`69.13% <ø> (ø)`
rust.hashql-hir	`89.06% <ø> (ø)`
rust.hashql-mir	`92.45% <ø> (ø)`
rust.hashql-syntax-jexpr	`94.06% <ø> (ø)`

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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codspeed-hq · 2026-05-10T14:02:08Z

Merging this PR will not alter performance

✅ 80 untouched benchmarks

_{Comparing cf/fe-666-stochastic-simulation-experiments-v1 (a880232) with main (b922dd2)¹}

No successful run was found on main (8452cc0) during the generation of this report, so b922dd2 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

github-actions · 2026-05-10T15:06:19Z

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	$$26.5 \mathrm{ms} \pm 228 \mathrm{μs}\left({\color{gray}1.97 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.52 \mathrm{ms} \pm 19.2 \mathrm{μs}\left({\color{gray}2.99 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$12.3 \mathrm{ms} \pm 75.2 \mathrm{μs}\left({\color{gray}-1.471 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$43.3 \mathrm{ms} \pm 282 \mathrm{μs}\left({\color{gray}-0.211 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.1 \mathrm{ms} \pm 115 \mathrm{μs}\left({\color{gray}3.13 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$23.2 \mathrm{ms} \pm 139 \mathrm{μs}\left({\color{gray}-4.023 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$26.9 \mathrm{ms} \pm 161 \mathrm{μs}\left({\color{gray}1.67 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.87 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}3.70 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.2 \mathrm{ms} \pm 87.9 \mathrm{μs}\left({\color{gray}-0.309 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.68 \mathrm{ms} \pm 22.4 \mathrm{μs}\left({\color{gray}-2.123 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.98 \mathrm{ms} \pm 14.4 \mathrm{μs}\left({\color{gray}-1.841 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.36 \mathrm{ms} \pm 23.8 \mathrm{μs}\left({\color{gray}0.307 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.05 \mathrm{ms} \pm 27.6 \mathrm{μs}\left({\color{gray}-0.597 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.53 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}-0.118 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$4.10 \mathrm{ms} \pm 23.0 \mathrm{μs}\left({\color{gray}0.100 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.35 \mathrm{ms} \pm 26.2 \mathrm{μs}\left({\color{gray}-1.078 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.40 \mathrm{ms} \pm 13.8 \mathrm{μs}\left({\color{gray}-2.555 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.03 \mathrm{ms} \pm 25.2 \mathrm{μs}\left({\color{gray}-0.717 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.63 \mathrm{ms} \pm 18.4 \mathrm{μs}\left({\color{gray}0.495 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.55 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}0.559 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.58 \mathrm{ms} \pm 11.2 \mathrm{μs}\left({\color{gray}-0.240 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.86 \mathrm{ms} \pm 12.9 \mathrm{μs}\left({\color{gray}0.053 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.61 \mathrm{ms} \pm 10.1 \mathrm{μs}\left({\color{gray}-2.382 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.81 \mathrm{ms} \pm 10.1 \mathrm{μs}\left({\color{gray}-1.171 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.01 \mathrm{ms} \pm 14.6 \mathrm{μs}\left({\color{gray}0.163 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.74 \mathrm{ms} \pm 15.2 \mathrm{μs}\left({\color{gray}-0.598 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.96 \mathrm{ms} \pm 11.1 \mathrm{μs}\left({\color{gray}0.719 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.36 \mathrm{ms} \pm 22.5 \mathrm{μs}\left({\color{gray}-1.467 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.94 \mathrm{ms} \pm 14.7 \mathrm{μs}\left({\color{gray}-1.906 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.26 \mathrm{ms} \pm 16.5 \mathrm{μs}\left({\color{gray}-0.501 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.29 \mathrm{ms} \pm 18.1 \mathrm{μs}\left({\color{gray}-0.852 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.96 \mathrm{ms} \pm 11.8 \mathrm{μs}\left({\color{gray}-0.353 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.28 \mathrm{ms} \pm 17.6 \mathrm{μs}\left({\color{gray}-0.252 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$54.6 \mathrm{ms} \pm 349 \mathrm{μs}\left({\color{gray}0.491 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$46.1 \mathrm{ms} \pm 184 \mathrm{μs}\left({\color{gray}-0.314 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$51.5 \mathrm{ms} \pm 340 \mathrm{μs}\left({\color{gray}-0.440 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$45.6 \mathrm{ms} \pm 363 \mathrm{μs}\left({\color{gray}2.40 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$62.3 \mathrm{ms} \pm 313 \mathrm{μs}\left({\color{gray}-0.984 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$61.0 \mathrm{ms} \pm 334 \mathrm{μs}\left({\color{gray}-0.528 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$55.7 \mathrm{ms} \pm 311 \mathrm{μs}\left({\color{gray}-0.498 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$102 \mathrm{ms} \pm 388 \mathrm{μs}\left({\color{gray}-1.590 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$61.9 \mathrm{ms} \pm 4.26 \mathrm{ms}\left({\color{red}31.7 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$290 \mathrm{ms} \pm 763 \mathrm{μs}\left({\color{gray}-0.950 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$19.4 \mathrm{ms} \pm 108 \mathrm{μs}\left({\color{gray}-1.094 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$20.2 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}0.398 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$20.3 \mathrm{ms} \pm 116 \mathrm{μs}\left({\color{gray}0.679 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$19.2 \mathrm{ms} \pm 63.1 \mathrm{μs}\left({\color{gray}-0.156 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$25.8 \mathrm{ms} \pm 173 \mathrm{μs}\left({\color{gray}3.97 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$19.2 \mathrm{ms} \pm 93.1 \mathrm{μs}\left({\color{gray}-0.220 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$19.2 \mathrm{ms} \pm 96.8 \mathrm{μs}\left({\color{gray}-2.065 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$19.7 \mathrm{ms} \pm 115 \mathrm{μs}\left({\color{gray}0.994 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$20.0 \mathrm{ms} \pm 81.4 \mathrm{μs}\left({\color{gray}-1.055 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$26.8 \mathrm{ms} \pm 200 \mathrm{μs}\left({\color{gray}-0.515 \mathrm{\%}}\right) $$	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`	$$35.5 \mathrm{ms} \pm 213 \mathrm{μs}\left({\color{gray}-0.274 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$35.8 \mathrm{ms} \pm 282 \mathrm{μs}\left({\color{gray}1.11 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$34.8 \mathrm{ms} \pm 263 \mathrm{μs}\left({\color{gray}-1.419 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$36.4 \mathrm{ms} \pm 368 \mathrm{μs}\left({\color{red}8.15 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$35.4 \mathrm{ms} \pm 374 \mathrm{μs}\left({\color{gray}1.96 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$34.9 \mathrm{ms} \pm 280 \mathrm{μs}\left({\color{gray}3.44 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$34.8 \mathrm{ms} \pm 276 \mathrm{μs}\left({\color{gray}2.87 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$34.9 \mathrm{ms} \pm 338 \mathrm{μs}\left({\color{gray}0.195 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$34.6 \mathrm{ms} \pm 354 \mathrm{μs}\left({\color{gray}2.00 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.57 \mathrm{ms} \pm 56.3 \mathrm{μs}\left({\color{gray}1.63 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$93.5 \mathrm{ms} \pm 551 \mathrm{μs}\left({\color{gray}2.03 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$148 \mathrm{ms} \pm 598 \mathrm{μs}\left({\color{gray}1.71 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$100 \mathrm{ms} \pm 625 \mathrm{μs}\left({\color{gray}2.48 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$111 \mathrm{ms} \pm 512 \mathrm{μs}\left({\color{gray}1.31 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$118 \mathrm{ms} \pm 552 \mathrm{μs}\left({\color{gray}1.84 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$127 \mathrm{ms} \pm 537 \mathrm{μs}\left({\color{gray}1.71 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$103 \mathrm{ms} \pm 414 \mathrm{μs}\left({\color{gray}0.367 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$133 \mathrm{ms} \pm 448 \mathrm{μs}\left({\color{gray}1.33 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$111 \mathrm{ms} \pm 665 \mathrm{μs}\left({\color{gray}1.67 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$119 \mathrm{ms} \pm 539 \mathrm{μs}\left({\color{gray}0.575 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$122 \mathrm{ms} \pm 679 \mathrm{μs}\left({\color{gray}0.956 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$121 \mathrm{ms} \pm 443 \mathrm{μs}\left({\color{gray}0.350 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$189 \mathrm{ms} \pm 533 \mathrm{μs}\left({\color{red}21.5 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$169 \mathrm{ms} \pm 2.41 \mathrm{ms}\left({\color{red}13.0 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$40.3 \mathrm{ms} \pm 178 \mathrm{μs}\left({\color{gray}0.122 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$557 \mathrm{ms} \pm 927 \mathrm{μs}\left({\color{gray}2.37 \mathrm{\%}}\right) $$	Flame Graph

kube added 15 commits May 8, 2026 13:22

Upgrade some versions

a0cb0b6

Update yarn.lock

e10aeb0

Upgrade some @hashintel/petrinaut dependencies

57acc0a

Update yarn.lock

53742df

Fix Petrinaut React Hooks linting

c23120f

Clean up core simulation layering docs

66b60a7

Refactor simulation module boundaries

8924383

Add simulation engine v2 RFC

576ad4d

Remove transition instances from simulation frames

f068796

Clarify simulation frame boundaries

1f16a7e

Split simulation timeline view

aabca83

Refactor simulation timeline series config

49dbd7a

Fix simulation timeline metric defaults

2545c63

Document simulation timeline series config

cf27c1e

Simplify simulation playback lifecycle

a880232

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(WIP) FE-666: Monte Carlo Simulation with Metrics#8709

(WIP) FE-666: Monte Carlo Simulation with Metrics#8709
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@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

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Merging this PR will not alter performance

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Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

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kube commented May 10, 2026 •

edited

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vercel Bot commented May 10, 2026 •

edited

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codecov Bot commented May 10, 2026 •

edited

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