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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 05:21 UTC

ai-dynamo / aiconfigurator

Offline optimization of your disaggregated Dynamo graph

Python · RustApache-2.0★ 374 Sterne⑂ 141 Forksseit Juli 2025Auf GitHub ansehen ↗

ai-dynamo/aiconfigurator erreicht einen Gesundheitsindex von 82 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (98/100) ab, am schwächsten bei Security (62/100). Zuletzt heute aktualisiert. 5 Mitwirkende tragen den Großteil der jüngsten Arbeit.

82
gesamt / 100
Gut

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

82
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

DynamoOrganisation
738 Follower15 öffentliche Reposseit März 2025

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIaiconfigurator0.10.0-13vor 10 Tagendecodedistributeddynamogpuinferencellmnvidiaprefill

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

98Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
33.2/36Commit-Rhythmus — 48/52 Wochen mit Commits
18/18Commit-Volumen — 744 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year744
human_commit_share1
days_since_last_push0
active_weeks_last_year48

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 12 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 10 Tagen
27/27Release-Rhythmus — ein Release etwa alle 33,3 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count12
latest_release_tagv0.10.0
releases_from_tagsnein
days_since_latest_release10
mean_days_between_releases33,3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

77Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
41.7/60Stars — 374 Stars
17.9/25Forks — 141 Forks
4.3/15Watcher — 7 Watcher
Verwendete Eingangsdaten
forks141
stars374
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

79Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
45.9/54Bus-Faktor — 5 Beitragende decken die Hälfte aller Commits ab
19/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 16 % der Commits
13.5/13.5Breite der Beitragenden — 60 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor5
contributors_sampled60
top_contributor_share0,156
Wie die Bewertung erfolgt
22/46.8Issue-Lösungsquote — 47 % der Issues geschlossen
30.2/38.3PR-Annahme — 1.031/1.304 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs1.031
open_issues44
closed_issues39
issue_closed_ratio0,47
closed_unmerged_prs273
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
20.6/25Reichweite des Inhabers — 738 Follower von ai-dynamo
11.6/25Kontohistorie — 15 öffentliche Repos, Kontoalter ca. 1 Jahre
Verwendete Eingangsdaten
followers738
owner_typeOrganization
is_verified
owner_loginai-dynamo
public_repos15
account_age_days509

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 10 Tagen
20/20Versionshistorie — 13 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesaiconfigurator
ecosystemspypi
any_deprecatednein
min_days_since_publish10

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

86Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 18 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — eslint.config.js
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

62Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 9 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 28 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages35
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:aiconfigurator@0.10.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 35 Paketen. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

75Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 100 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes3.663
Wie die Bewertung erfolgt
12.6/18Bootstrap mit einem Befehl — Cargo.toml, aic-core/rust/aiconfigurator-core/Cargo.toml, aic-core/rust/tests/public-api/Cargo.toml (Toolchain-Konvention, kein Task-Runner)
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — eslint.config.js
11/11Statische Typprüfung — aic-core/src/aiconfigurator_core/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
10/10Belegte Agentenpraxis — 57 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesCargo.lock, uv.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsaic-core/src/aiconfigurator_core/py.typed
agent_commit_share0,57
toolchain_manifestsCargo.toml, aic-core/rust/aiconfigurator-core/Cargo.toml, aic-core/rust/tests/public-api/Cargo.toml
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (aic-core/src/aiconfigurator_core/py.typed)
52.7/55Handhabbare Dateigrößen — 23/549 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes146.909
source_files_sampled549
oversized_source_files23
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_files

Eckdaten

374GitHub-Sterne
60Mitwirkende
744Commits, letzte 12 Monate
0Tage seit letztem Push
12Releases
5Bus-Faktor
44offene Issues
crates.io, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'aiconfigurator-core' from its registry

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 141 ⇿
0Sterne
141Forks
11Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

025507510012515013932025-082026-022026-07
Major 0Minor 9Patch 1
OpenSSF Scorecard 5.3 / 10
5.3Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-26 05:19 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities28 existing vulnerabilities detected
Direkte Abhängigkeiten 22
RegistryPaketVersionsvorgabeManifest
PyPIpackaging>=20.0aic-core/pyproject.toml
PyPInumpy~=1.26.4aic-core/pyproject.toml
PyPIpandas>=2.2.3aic-core/pyproject.toml
PyPIpyarrow>=15.0.0aic-core/pyproject.toml
PyPIpyyaml>=6.0aic-core/pyproject.toml
PyPIscipy>=1.13.1aic-core/pyproject.toml
PyPIaiconfigurator-core==0.11.0pyproject.toml
PyPIjinja2>=3.1.0pyproject.toml
PyPIpackaging>=20.0pyproject.toml
PyPImatplotlib>=3.9.4pyproject.toml
PyPInumpy~=1.26.4pyproject.toml
PyPIpandas>=2.2.3pyproject.toml
PyPIplotext>=5.3.2pyproject.toml
PyPIplotly>=6.0.1pyproject.toml
PyPIprettytable>=3.16.0pyproject.toml
PyPIpydantic>=2.5pyproject.toml
PyPIpyarrow>=15.0.0pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPItqdm>=4.0.0pyproject.toml
PyPIbokehpyproject.toml
PyPInvidia-ml-pypyproject.toml
PyPImunch>=4.0.0pyproject.toml
Alle Abhängigkeiten 183

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 25 direkte und 158 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIaiconfigurator-core0.11.0direkt
PyPIbokeh3.9.0direkt
PyPIjinja23.1.6direkt
PyPImatplotlib3.10.8direkt
PyPImunch4.0.0direkt
PyPInumpydirekt
PyPInumpy1.26.4direkt
PyPInvidia-ml-py13.595.45direkt
PyPIpackagingdirekt
PyPIpackaging26.0direkt
PyPIpandasdirekt
PyPIpandas2.3.3direkt
PyPIpandas3.0.2direkt
PyPIplotext5.3.2direkt
PyPIplotly6.6.0direkt
PyPIprettytable3.17.0direkt
PyPIpyarrowdirekt
PyPIpyarrow24.0.0direkt
PyPIpydantic2.12.5direkt
PyPIpyyamldirekt
PyPIpyyaml6.0.3direkt
PyPIscipydirekt
PyPIscipy1.15.3direkt
PyPIscipy1.17.1direkt
PyPItqdm4.67.3direkt
crates.ioanyhow1.0.102indirekt
crates.iobitflags2.11.1indirekt
crates.iocfg-if1.0.4indirekt
crates.iocsv1.4.0indirekt
crates.iocsv-core0.1.13indirekt
crates.ioequivalent1.0.2indirekt
crates.ioerrno0.3.14indirekt
crates.iofastrand2.4.1indirekt
crates.iofoldhash0.1.5indirekt
crates.iogetrandom0.4.2indirekt
crates.iohashbrown0.15.5indirekt
crates.iohashbrown0.17.0indirekt
crates.ioheck0.5.0indirekt
crates.ioid-arena2.3.0indirekt
crates.ioindexmap2.14.0indirekt
crates.ioitoa1.0.18indirekt
crates.ioleb128fmt0.1.0indirekt
crates.iolibc0.2.186indirekt
crates.iolinux-raw-sys0.12.1indirekt
crates.iolog0.4.29indirekt
crates.iomemchr2.8.0indirekt
crates.ioonce_cell1.21.4indirekt
crates.ioprettyplease0.2.37indirekt
crates.ioproc-macro21.0.106indirekt
crates.ioquote1.0.45indirekt
crates.ior-efi6.0.0indirekt
crates.iorustix1.1.4indirekt
crates.ioryu1.0.23indirekt
crates.iosemver1.0.28indirekt
crates.ioserde1.0.228indirekt
crates.ioserde_core1.0.228indirekt
crates.ioserde_derive1.0.228indirekt
crates.ioserde_json1.0.149indirekt
crates.ioserde_yaml0.9.34+deprecatedindirekt
crates.iosyn2.0.117indirekt
crates.iotempfile3.27.0indirekt
crates.iothiserror2.0.18indirekt
crates.iothiserror-impl2.0.18indirekt
crates.iounicode-ident1.0.24indirekt
crates.iounicode-xid0.2.6indirekt
crates.iounsafe-libyaml0.2.11indirekt
crates.iowasip21.0.3+wasi-0.2.9indirekt
crates.iowasip30.4.0+wasi-0.3.0-rc-2026-01-06indirekt
crates.iowasm-encoder0.244.0indirekt
crates.iowasm-metadata0.244.0indirekt
crates.iowasmparser0.244.0indirekt
crates.iowindows-link0.2.1indirekt
crates.iowindows-sys0.61.2indirekt
crates.iowit-bindgen0.51.0indirekt
crates.iowit-bindgen0.57.1indirekt
crates.iowit-bindgen-core0.51.0indirekt
crates.iowit-bindgen-rust0.51.0indirekt
crates.iowit-bindgen-rust-macro0.51.0indirekt
crates.iowit-component0.244.0indirekt
crates.iowit-parser0.244.0indirekt
crates.iozmij1.0.21indirekt
PyPIaiconfigurator0.11.0indirekt
PyPIannotated-doc0.0.4indirekt
PyPIannotated-types0.7.0indirekt
PyPIanyio4.13.0indirekt
PyPIasttokens3.0.1indirekt
PyPIattrs26.1.0indirekt
PyPIbackports-asyncio-runner1.2.0indirekt
PyPIcertifi2026.2.25indirekt
PyPIcfgv3.5.0indirekt
PyPIchardet5.2.0indirekt
PyPIcharset-normalizer3.4.7indirekt
PyPIclick8.3.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcontourpy1.3.2indirekt
PyPIcontourpy1.3.3indirekt
PyPIcoverage7.13.5indirekt
PyPIcycler0.12.1indirekt
PyPIdataproperty1.1.0indirekt
PyPIdateparser1.4.1indirekt
PyPIdecorator5.2.1indirekt
PyPIdistlib0.4.0indirekt
PyPIexceptiongroup1.3.1indirekt
PyPIexecnet2.1.2indirekt
PyPIexecuting2.2.1indirekt
PyPIfastapi0.135.3indirekt
PyPIfastjsonschema2.21.2indirekt
PyPIfilelock3.25.2indirekt
PyPIfonttools4.62.1indirekt
PyPIh110.16.0indirekt
PyPIhttmock1.4.0indirekt
PyPIidentify2.6.18indirekt
PyPIidna3.11indirekt
PyPIimport-ipynb0.2indirekt
PyPIiniconfig2.3.0indirekt
PyPIipython8.39.0indirekt
PyPIipython9.10.1indirekt
PyPIipython9.12.0indirekt
PyPIipython-pygments-lexers1.1.1indirekt
PyPIjedi0.19.2indirekt
PyPIjsonschema4.26.0indirekt
PyPIjsonschema-specifications2025.9.1indirekt
PyPIjupyter-core5.9.1indirekt
PyPIkiwisolver1.5.0indirekt
PyPImarkupsafe3.0.3indirekt
PyPImatplotlib-inline0.2.1indirekt
PyPImaturinindirekt
PyPImbstrdecoder1.1.4indirekt
PyPInarwhals2.18.1indirekt
PyPInbformat5.10.4indirekt
PyPInodeenv1.10.0indirekt
PyPIorjson3.11.8indirekt
PyPIparso0.8.6indirekt
PyPIpathvalidate3.3.1indirekt
PyPIpexpect4.9.0indirekt
PyPIpillow12.2.0indirekt
PyPIplatformdirs4.9.4indirekt
PyPIpluggy1.6.0indirekt
PyPIpre-commit4.3.0indirekt
PyPIprometheus-api-client0.6.0indirekt
PyPIprompt-toolkit3.0.52indirekt
PyPIptyprocess0.7.0indirekt
PyPIpure-eval0.2.3indirekt
PyPIpydantic-core2.41.5indirekt
PyPIpygments2.20.0indirekt
PyPIpyparsing3.3.2indirekt
PyPIpytablewriter1.2.1indirekt
PyPIpytest8.4.2indirekt
PyPIpytest-asyncio1.3.0indirekt
PyPIpytest-cov7.1.0indirekt
PyPIpytest-md-report0.7.0indirekt
PyPIpytest-mock3.15.1indirekt
PyPIpytest-split0.11.0indirekt
PyPIpytest-timeout2.4.0indirekt
PyPIpytest-xdist3.8.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-discovery1.2.1indirekt
PyPIpytz2026.1.post1indirekt
PyPIreferencing0.37.0indirekt
PyPIregex2026.5.9indirekt
PyPIrequests2.34.2indirekt
PyPIrpds-py0.30.0indirekt
PyPIruff0.14.1indirekt
PyPIsetuptools82.0.1indirekt
PyPIsix1.17.0indirekt
PyPIstack-data0.6.3indirekt
PyPIstarlette0.52.1indirekt
PyPItabledata1.3.4indirekt
PyPItcolorpy0.1.7indirekt
PyPItomli2.4.1indirekt
PyPItornado6.5.5indirekt
PyPItraitlets5.14.3indirekt
PyPItypepy1.3.4indirekt
PyPItyping-extensions4.15.0indirekt
PyPItyping-inspection0.4.2indirekt
PyPItzdata2025.3indirekt
PyPItzlocal5.4.3indirekt
PyPIurllib32.7.0indirekt
PyPIuv0.11.3indirekt
PyPIuvicorn0.42.0indirekt
PyPIvirtualenv21.2.0indirekt
PyPIwcwidth0.6.0indirekt
PyPIxyzservices2026.3.0indirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:aiconfigurator@0.10.0 zieht 35 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

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JSON-Rohbericht maschinenlesbar
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          "is_bot": false,
          "headline": "feat: add GLM-5.1 and GLM-5.2 model support (configs, cases, tests) (…",
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          "body": "* feat: generate CODEOWNERS as code from a per-area taxonomy\n\nPorts ai-dynamo/dynamo's CODEOWNERS-as-code toolchain (dynamo#10715).\nOne source of truth (.github/codeowners/areas.yaml) maps paths to the\nexisting five teams; CI validates 100% coverage on every PR and blocks\ndrift between the source an\n[…]\ncy edit orphaning an untouched path\n  blocks (+ e2e demos)\n\nSigned-off-by: Dan Gil <dagil@nvidia.com>\n\n---------\n\nSigned-off-by: Dan Gil <dagil@nvidia.com>\nSigned-off-by: Daniel Gil <dagil@nvidia.com>",
          "is_bot": false,
          "headline": "feat: generate CODEOWNERS as code from a per-area taxonomy (#1347)",
          "author_name": "Dan Gil",
          "author_login": "dagil-nvidia",
          "committed_at": "2026-07-23T20:09:54Z",
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          "is_bot": false,
          "headline": "feat: harden aic-core wheel and crate API contracts (#1375)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
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          "oid": "88aea0b1d8acd47d9d02d59193e4d06e36de5642",
          "body": "…tAI) (#1395)\n\nReplace hardcoded _DSV4_NATIVE_MODEL_PATHS with _is_dsv4_fp4_expert_model()\nthat checks architecture + expert_dtype from the HF config. Third-party\nFP4-expert DSV4 requant artifacts (e.g. RedHatAI/DeepSeek-V4-Flash-NVFP4-FP8)\nnow get correct sglang MoE quant remapping on Hopper (w4a16\n[…]\nHopper quant\nmode passes DB validation (depends on nvfp4_wo alias from PR #1392).\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(sdk): support third-party DSV4 FP4-expert checkpoints (e.g. RedHa…",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-07-23T17:38:12Z",
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          "oid": "b90145f433aab09769b34a24278f7d3410ac0476",
          "body": "* docs: update Spica migration target to AI Simulate\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* docs: clarify AI Simulate source installation\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n---------\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "docs: update Spica migration target to AI Simulate (#1401)",
          "author_name": "Hongkuan Zhou",
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          "body": "…policy (AIC-1503, AIC-1219) (#1374)\n\n* feat(sdk): design-§6 reuse ordering — declared donors, nearest-earlier fallback, comm exclusion, source diagnostics (AIC-1503)\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\n\n* fix(sdk): dedupe declared donors from fallback channel, pin legacy-layout comm exc\n[…]\n Claude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\n\n---------\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(sdk): declared-reuse ordering, strict provenance mode, evidence …",
          "author_name": "Yimingl_Nvidia",
          "author_login": "Arsene12358",
          "committed_at": "2026-07-23T17:12:02Z",
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          "oid": "4fabb773643d961c9679e9af3544b74f95c87c8e",
          "body": "…n (AIC-1501) (#1371)\n\n* feat(sdk): dual-layout (family-first) perf-database discovery (AIC-1501)\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\n\n* test(sdk): real-tree fixture for get_database caching test (AIC-1501)\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\n\n* feat(sdk): route all per-op pe\n[…]\nYiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(sdk): family-first perf-data layout with dual-read transitio…",
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          "committed_at": "2026-07-23T16:45:31Z",
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          "oid": "b12a42aeac69b5720e0e50dc9008fdbcd80c0b1c",
          "body": "…s (AIC-1217, AIC-1500) (#1370)\n\n* docs(perf_database): Collector V3 op-centric design (AIC-1217)\n\nThe reviewed contract for op-centric collector management: op identity\n(registry op -> PerfFile table -> catalog family), family-first physical\ndata layout, manifest v2 per-op runtime pins, provenance \n[…]\n Claude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\n\n---------\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(collector): Collector V3 design + manifest v2 per-op runtime pin…",
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          "author_login": "Arsene12358",
          "committed_at": "2026-07-23T05:52:04Z",
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          "oid": "2829e0983b8698558aea9d3ab05693dc61761839",
          "body": "…1394)\n\nDocument two known environment caveats for local development:\n- pytest-timeout uses SIGALRM which triggers macOS crash dialogs;\n  pass -p no:timeout to disable\n- test_moe_dispatch.py requires torch which isn't in the dev venv\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: add macOS pytest-timeout and torch test caveats to AGENTS.md (#…",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-07-22T17:21:50Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "a907f3273306b35dc90a95daeb275943c5cf5ecd",
          "body": "…on data for Blackwell (#1399)\n\n* data(collector): add vLLM 0.24.0 native DSV4 w4a8_mxfp4_mxfp8 MoE data for 4 Blackwell systems\n\nCollected via aic-auto-collector pipelines 59094587/59094646 (child jobs,\n8/8 success, 0 errors) at PR head 818a6febb:\n- Flash (4096/2048/topk6/e256): 1134 rows per syste\n[…]\n 16 rows flip HYBRID_PASS -> PASS\n(Flash/Pro x b200_sxm/b300_sxm/gb200/gb300 x agg/disagg).\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>",
          "is_bot": false,
          "headline": "feat(data): vLLM 0.24.0 native DeepSeek-V4 w4a8_mxfp4_mxfp8 MoE silic…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-22T17:20:02Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "1fdc973863780e345817004e272b44cd32360ee5",
          "body": "…ction on vLLM 0.24.0 (#1397)\n\n* feat(collector): enable native DeepSeek-V4 w4a8_mxfp4_mxfp8 MoE collection on vLLM 0.24.0\n\nThe native (expert_dtype=fp4) DeepSeek-V4 checkpoints had no consumable\nvLLM MoE path: #1344 disabled the label entirely (allowed_modes: [])\nbecause vLLM 0.24.0 serves the arti\n[…]\nthe required runtime feature is off.\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(collector): enable native DeepSeek-V4 w4a8_mxfp4_mxfp8 MoE colle…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-22T17:19:43Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "555957519731826789a7662694ac9138e3f7eaee",
          "body": "* refactor(sdk): explicit MTP control via nextn + nextn_accepted\n\nReplace the 5-element nextn_accept_rates chain-expectation with two explicit\nparameters and make speculative decoding strictly opt-in:\n\n- nextn (draft length, cost side: extra MTP-layer forward + the (nextn+1)\n  verify batch) now defa\n[…]\nlaude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(sdk): explicit MTP control via nextn + nextn_accepted (#1383)",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-22T17:05:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "41530cd5dea0097992d6ca97c47ea05475c318af",
          "body": "* refactor(spica): remove Spica from AIConfigurator\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* test(cli): preserve default input validation coverage\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* test(packaging): scan all wheel entries for Spica\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* test(packaging): exercise wheel rejection path\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n---------\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "refactor(spica): remove Spica from AIConfigurator (#1389)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-07-21T22:06:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "111b093a2a516d6cb2eabac5ad601c95c14ebdbe",
          "body": "Signed-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(webapp): use monospace font for debugging output textboxes (#1368)",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-07-20T09:07:22Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "2556e2013dee1a41d06912cd37562498df4079b9",
          "body": "… script (phase 1) (#1328)\n\n* Add generator fpm support\n\nSigned-off-by: etshen <etshen@nvidia.com>\n\n* update for multinode\n\nSigned-off-by: etshen <etshen@nvidia.com>\n\n* update for code rabbit\n\nSigned-off-by: etshen <etshen@nvidia.com>\n\n* update for prefill and decode\n\nSigned-off-by: etshen <etshen@nvidia.com>\n\n---------\n\nSigned-off-by: etshen <etshen@nvidia.com>",
          "is_bot": false,
          "headline": "feat: [generator] Add FPM deployment target with reusable Pod and run…",
          "author_name": "Ethan-ES",
          "author_login": "Ethan-ES",
          "committed_at": "2026-07-20T07:18:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e794c9c0f2845f3a65c98d7e0188ea0c5732b86",
          "body": "Signed-off-by: Trey Dockendorf <tdockendorf@osc.edu>",
          "is_bot": false,
          "headline": "fix(image): Ensure Hugging Face SSL trusted by image (#1362)",
          "author_name": "treydock",
          "author_login": "treydock",
          "committed_at": "2026-07-20T02:48:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cae1aef7705af86e15597d6b0e97dc93112d18aa",
          "body": "…(#1373)\n\n* fix(webapp): move CSS to launch() for Gradio 6 and disable analytics\n\nGradio 6.0 moved the css parameter from Blocks() to launch().\nDisable Gradio telemetry by default -- AIC is a self-hosted tool and\nthe HuggingFace/Gradio analytics requests add startup noise without\nuser benefit. Uses \n[…]\n>\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(webapp): move CSS to launch() for Gradio 6 and disable analytics …",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-07-18T07:24:12Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "cf515cfc18ed04edfffa607c06d7b42cf043759d",
          "body": "* docs: add Web App section to README and CLI user guide\n\nDocument the Gradio webapp launch command, available flags, and tab\ndescriptions. The webapp was previously undocumented.\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n\n[…]\n>\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: add Web App section to README and webapp user guide (#1367)",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-07-18T07:24:09Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "92b4ce83c2489fccc6eb6f5271fb3b9bb93bc1e4",
          "body": "* fix: update support matrix\n\nFull local regeneration of the support matrix on main (2feebac5) using\nthe CI docker image (docker/Dockerfile --target test), 16 workers.\n10502 configurations across 5251 model/system/backend/version combos.\n\nRebased onto main after #1322 relocated the matrix to\naic-cor\n[…]\ny: Claude Fable 5 <noreply@anthropic.com>\nSigned-off-by: tianhaox <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: tianhaox <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: update support matrix [main] (#1366)",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-17T03:10:37Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f4c58458ab1554c3e7678492e1bc9c7812c678e6",
          "body": "* fix(sdk): skip MoE workspace for dense Gemma 4\n\nReproduce with:\n\n  aiconfigurator cli default --model-path google/gemma-4-31B-it --total-gpus 2 --system h100_sxm --database-mode SOL --top-n 1\n\nBefore this fix, both agg and disagg reject every parallel configuration after memory accounting raises:\n\n[…]\nsent.\n\nSigned-off-by: Qinghui Zhuang <qzhuang@microsoft.com>\n\n* address comment\n\nSigned-off-by: Qinghui Zhuang <qzhuang@microsoft.com>\n\n---------\n\nSigned-off-by: Qinghui Zhuang <qzhuang@microsoft.com>",
          "is_bot": false,
          "headline": "fix(sdk): skip MoE workspace for dense Gemma 4 (#1338)",
          "author_name": "Qinghui Zhuang",
          "author_login": "zhuangqh",
          "committed_at": "2026-07-16T01:33:41Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "efd25e9402d073598db61f8e38381ec08eb2129b",
          "body": "…… (#1326)\n\n* docs(attributions): add Rust crate attributions + fix Python deps for 0.10.0\n\nThe 0.10.0 wheel now statically links the aiconfigurator_core Rust extension\n(_aiconfigurator_core.abi3.so), pulling 103 crates into the shipped artifact.\nNone were previously attributed. Adds a Rust section \n[…]\naude Opus 4.8 (1M context) <noreply@anthropic.com>\n(cherry picked from commit 12f9a97d736c9f491c6f7f4e558dae44de7b9883)\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(attributions): add Rust crate attributions + fix Python deps for…",
          "author_name": "Nate Mailhot",
          "author_login": "nv-nmailhot",
          "committed_at": "2026-07-15T20:35:16Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "989dd6e9cbedcbd26d353da984af451b6b64fd3f",
          "body": "…ch op runs on per platform/version/precision (#1345)\n\n* feat(tools): derive op-backend facts record from the perf database\n\nAdd tools/perf_database/backend_facts.py: for every (op table, framework,\nversion, system, fact-axis slice) in the data tree, record which kernel\nbackend(s) the rows were coll\n[…]\nff-by: Yiming Liu <yimingl@nvidia.com>\n\n---------\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\nCo-authored-by: Yiming Liu <yimingl@nvidia.com>",
          "is_bot": false,
          "headline": "feat(tools): op-backend facts — a truthful record of which backend ea…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-15T13:29:12Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0b077da5e017cb8ceac1ad14e91eb6e26c40207a",
          "body": "…322)\n\n* build: restore standalone aiconfigurator-core wheel\n\nSigned-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\n\n* build: expose SDK under core namespace\n\nSigned-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>\n\n* build: restructure packages for repository split\n\nSigned-\n[…]\nigned-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>\nSigned-off-by: Jason Zhou <jasonqinzhou@users.noreply.github.com>\nCo-authored-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>",
          "is_bot": false,
          "headline": "build: restructure into split-ready core and application packages (#1…",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-07-15T00:05:25Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2feebac532a84725c9f468861f16dac3e4ed3097",
          "body": "…d perf regression gate (#1351)\n\n* perf(rust-core): make SiteIndex::resolve O(n) per query\n\nThe GEMM scattered-sites resolver sorted every collected site by distance on\neach query -- recomputing the distance (a sqrt over the site axes) inside the\nsort comparator -- just to keep the nn_sites nearest.\n[…]\no\n  divides out most machine-speed variance but can still shift across\n  architectures.\n\nSigned-off-by: Simone Chen <maxmoe0105@gmail.com>\n\n---------\n\nSigned-off-by: Simone Chen <maxmoe0105@gmail.com>",
          "is_bot": false,
          "headline": "fix(rust-core): restore engine-step speedup (SiteIndex::resolve) + ad…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-13T23:18:01Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "62633bba3993a177049652608ee44f96a4d76dc2",
          "body": "* fix(data): replace mislabeled vLLM v0.19 FP16 AllReduce data with real BF16\n\nSigned-off-by: wenpengw-nv <wenpengw@nvidia.com>\n\n* update h100_sxm vllm0.19.0 ar data\n\nSigned-off-by: wenpengw-nv <wenpengw@nvidia.com>\n\n---------\n\nSigned-off-by: wenpengw-nv <wenpengw@nvidia.com>",
          "is_bot": false,
          "headline": "chore: replace mislabeled vLLM v0.19 FP16 AR data with real bf16 (#1339)",
          "author_name": "wenpengw-nv",
          "author_login": "wenpengw-nv",
          "committed_at": "2026-07-13T16:21:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e23be5a79438356de7d8ff9cd4bec38ccb1f4670",
          "body": "… 8 systems (#1342)\n\n* feat(collector): upgrade SGLang collector to 0.5.14\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n* fix(sglang): align MLA module collection with 0.5.14\n\nUse the pinned runtime's cross-layer top-k reuse contract, normalize GLM-5.2 cached layer types, and document validated\n[…]\nox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nSigned-off-by: Tianhao Xu <49143331+tianhaox@users.noreply.github.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(collector): upgrade the SGLang collector to 0.5.14 with data for…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-13T13:39:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c4a574a65813d651d7e667fce0bad09cb2c461c7",
          "body": "…fic rules (#1337)\n\n* feat(sdk): data-driven FMHA fp8->bf16 fallback at task resolve time\n\nCheckpoint-inferred fp8 FMHA now falls back to bfloat16 when the role's\nperf DB carries no fp8 slice in its fmha-keyed context-attention table,\nwith a warning, instead of failing validate later. Unknown/new mo\n[…]\nlaude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(sdk): data-driven FMHA quant resolution — retire model-speci…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-13T11:04:16Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d5bad971c95729437ff611e559ed2fc1db6d4318",
          "body": "…em data (#1344)\n\n* feat(collector): upgrade vLLM to 0.24.0\n\nSigned-off-by: Tianhao Xu <49143331+tianhaox@users.noreply.github.com>\n\n* fix(collector): prune invalid vllm gdn grid\n\nSigned-off-by: Tianhao Xu <49143331+tianhaox@users.noreply.github.com>\n\n* fix(collector): isolate legacy vllm xpu utilit\n[…]\nhao Xu <49143331+tianhaox@users.noreply.github.com>\nSigned-off-by: tianhaox <tianhaox@nvidia.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(collector): upgrade the vLLM collector to 0.24.0 with eight-syst…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-13T11:02:50Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d901a281173f8ef8c27ca8294d9add6ae0ba2f37",
          "body": "…b to nightly (#1336)\n\nPR 2 of 2 for the prediction-regression-gate rollout\n(docs/design/prediction_regression_gate_design.md §5). Trigger-only:\n\n- prediction-regression-gate.yml: add pull_request trigger; the\n  \"AIC Prediction Regression Gate\" report job becomes the PR check\n- accuracy-regression-t\n[…]\ndead)\n\nReverting this commit restores the dispatch-only status quo without\ntouching the harness.\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "ci: enable prediction regression gate as PR check, demote accuracy jo…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-10T14:46:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "52d71f9370e66cc71ba86a36b158522255dd0a20",
          "body": "* design(sdk): per-op config schema for the perf-table interpolation engine v2\n\nClean-room redesign of the SILICON perf-table interp/extrap layer, off main.\nThis commit is the DECLARATIVE INTERFACE only (no resolver yet) so the shape\ncan be reviewed before the engine lands.\n\nGoals: P0-1 robustly han\n[…]\n27; python suite 1289.\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(sdk): perf-table interpolation engine v2 (perf_interp) (#1303)",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-09T13:12:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "68fc4519e15324816c519de97ea28bcc67744472",
          "body": "…on accuracy anchors (dispatch-only) (#1289)\n\n* feat(test): old-vs-new run_static regression gate (V2), dispatch-only\n\nReplace the PR-time accuracy job's workload with a two-tier old-vs-new\ncomparison: collect a tier-1 run_static snapshot + tier-2 scheduling\nsnapshot on the PR base and on the PR hea\n[…]\nlaude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(test): prediction regression gate — old-vs-new snapshots + silic…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-09T11:26:19Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7a4ca38433c5109f250cd1eddb34cdf76ecd1ac2",
          "body": "…-predict failure handling (#1302)\n\n* refactor(collector): replace exception rule engine with observe-don't-predict failure handling\n\nCollector v2's declaration surface had grown a 1400-line sm_exceptions rule\nengine (15 comparison operators, computed conditions, positional field\ncontracts) that tri\n[…]\nlaude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(collector): replace exception rule engine with observe-don't…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-07-09T11:26:00Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a8469e4dd3447eea1419be82130798ddd869c1a8",
          "body": "* update latest xpu op collection\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n* remove 0.23.0 data for now\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n* fix lint\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n---------\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>",
          "is_bot": false,
          "headline": "fix: resolve xpu collection issues for latest vllm (#1334)",
          "author_name": "Sihan Chen",
          "author_login": "Spycsh",
          "committed_at": "2026-07-09T10:41:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "32d9db954276e62f7588aafd9081c0926f18224c",
          "body": "…p payloads (#1324)\n\n* fix(rust-core): validate engine-spec schema version before decoding op payloads\n\nEngineSpec::from_bincode decoded the whole bincode payload (including the\npositional, variable-layout op lists) before it checked schema_version. bincode\nis not self-describing, so a producer/cons\n[…]\n<noreply@anthropic.com>\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\n---------\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(rust-core): validate engine-spec schema version before decoding o…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-08T23:26:39Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d01ce3d5d4fa172ff96b4ab4b53263e2d3039ff0",
          "body": "* fix: build the aiconfigurator wheel as manylinux_2_28\n\nThe wheel carries a native Rust/PyO3 (abi3) extension but was built on\nubuntu:jammy and tagged linux_x86_64 -- a bare platform tag that PyPI\nrejects and that effectively pins the wheel to the build host's glibc.\nBuild it as a portable manylinu\n[…]\ny MATURIN_PEP517_ARGS\noverrides the PEP517 compatibility default, why pin the interpreter).\n\nSigned-off-by: Anant Sharma <anants@nvidia.com>\n\n---------\n\nSigned-off-by: Anant Sharma <anants@nvidia.com>",
          "is_bot": false,
          "headline": "fix: build the aiconfigurator wheel as manylinux_2_28 (#1330)",
          "author_name": "Anant Sharma",
          "author_login": "nv-anants",
          "committed_at": "2026-07-08T22:35:16Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2e33a9ef61afc35e21fd4e042fef040d1fad75e8",
          "body": "Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>",
          "is_bot": false,
          "headline": "build: remove aiconfigurator-core compatibility wheel (#1329)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-07-08T22:13:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0828d6b7e4a7880079443b1c6f9c148d85bdbf54",
          "body": "…f DB refactors; make Spica tests non-blocking (#1313)\n\n* feat(rust-core): context-parallelism support for engine-step (Phase 1)\n\nThe Python SDK models context parallelism (CP) as a first-class prefill\ndimension, but the Rust engine-step path dropped it: the spec serializers\nnever emitted the per-op\n[…]\n<noreply@anthropic.com>\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\n---------\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rust-core): add context-parallelism and catch up with latest per…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-06T21:43:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "251eef74073e7dd912d913677801a0b66e12ddb9",
          "body": "The Task->generator bridge set NodeConfig.system_name from the shared\ntop-level system_name, which is empty for disaggregated Task v2 requests\n(the selected system lives in the phase-specific prefill/decode fields).\nNodeConfig.system_name then came out blank and hardware facts (node\nselectors, NCCL/\n[…]\nl/decode systems\n(heterogeneous placement is out of scope). Adds regression tests.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(generator): preserve disagg system name in Task bridge (#1294)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-06T21:12:43Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "81783f09bc89ce278cb707825a484c71d91834bb",
          "body": "The Task->generator bridge built BenchConfig only from explicit generator\noverrides and never read the Task's image_height / image_width /\nnum_images_per_request, so a Qwen3-VL image workload fell back to the\nschema default image_batch_size=0 and the benchmark artifacts ran\ntext-only. Seed BenchConf\n[…]\ndisable-encoder, used with 448x448 by the web UI) survives. Adds\nregression tests.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(generator): carry multimodal image workload into BenchConfig (#1295)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-06T21:12:24Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8befd8fc932df68307c7fcd1a96111b0177a88c0",
          "body": "… (#1311)\n\n* docs: document Linux x86-64-only support for the aiconfigurator wheel\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\n* Update README.md\n\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>\nSigned-off-by: Simone Chen <maxmoe0105@gmail.com>\n\n---------\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nSigned-off-by: Simone Chen <maxmoe0105@gmail.com>\nCo-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>",
          "is_bot": false,
          "headline": "docs: document Linux x86-64-only support for the aiconfigurator wheel…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-06T21:10:43Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "358ce6acedc3b896c7f49343e4dedde21f8ae5a7",
          "body": "…(#1315)\n\n`aiconfigurator cli default --thorough-config <file>` dumped a full\nPython/Pydantic traceback when the config file was missing, contained\nmalformed YAML, or failed schema validation (e.g. an omitted required\nfield). These are expected, actionable user errors, but the Spica\nthorough adapter\n[…]\nmirrors Spica's real\n`from_yaml` so the tests exercise the actual exception types.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(cli): report invalid Spica --thorough-config without a traceback …",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-06T18:38:34Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "4189fae687994a50e321545031b1093fb4d3b55b",
          "body": "…s (#1282)\n\nThree CLI paths dumped a full Python traceback for expected, actionable\nuser errors: estimate mode (missing perf data), the Task execution loop\nin default/exp (unsupported quant/compatibility), and Task construction\nin exp (e.g. MegaMoE requires Blackwell). PR #1273 only converted\nestima\n[…]\now also\nrender concise (better UX); the DEBUG traceback covers the code-side case.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(cli): report expected data/compatibility errors without traceback…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-06T04:47:10Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5b3c7cf2bc56898fde5c0b4824ae335f35d0c8ec",
          "body": "* fix(generator): emit --served-model-name for vLLM workers\n\nThe vLLM k8s worker builder and run.sh launcher relied on the cli_args\ntemplates to emit --served-model-name, but none of them do. As a result\nthe deployed model advertised only the HF model id and requests using the\nconfigured ServiceConf\n[…]\n<noreply@anthropic.com>\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\n---------\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(generator): emit --served-model-name for vLLM workers (#1293)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-05T05:42:42Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "638ed65550c8b261e339bca97d4f13c3bf2ade47",
          "body": "cli default / cli sweep convert Task results through the module bridge,\nwhich explicitly forwarded ServiceConfig/ModelConfig/DynConfig/K8sConfig/\nSflowConfig but never LlmdConfig. --generator-set LlmdConfig.* values\n(e.g. vllm_image, kustomize_base_path) were parsed but silently dropped,\nso llm-d-ku\n[…]\nd params, matching the\nnaive generator's behavior.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\nnvbugs: https://nvbugs/6407038",
          "is_bot": false,
          "headline": "fix(generator): preserve LlmdConfig overrides in Task bridge (#1297)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-05T05:38:11Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "658729199c428b327aac5c90f2efdfe83f2514af",
          "body": "The naive generator passed only num_gpus_per_node into\ncollect_generator_params, which rebuilds NodeConfig with just that field.\nNodeConfig.system_name (and any explicit NodeConfig override) was\ntherefore dropped, so the vLLM run.sh always emitted CUDA_VISIBLE_DEVICES\neven for B60, which needs ONEAP\n[…]\nault system and NodeConfig overrides both survive.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\nnvbugs: https://nvbugs/6406894",
          "is_bot": false,
          "headline": "fix(generator): keep system identity in naive NodeConfig (#1296)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-05T05:38:10Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "08638cba1ef7d66744f8fad86893f8803e70b094",
          "body": "The typed DGD serializer used yaml.safe_dump, which emits the string\n\"y\" as the bare scalar value: y. Kubernetes converts the manifest to\nJSON with a YAML 1.1 parser that reads bare y/n as booleans, so the DGD\nadmission webhook rejected the deployment because EnvVar.value must be a\nstring (hit via t\n[…]\nit, so every emitted scalar\nkeeps its string type.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\nnvbugs: https://nvbugs/6406370",
          "is_bot": false,
          "headline": "fix(generator): quote boolean-like env values in DGD YAML (#1292)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-05T05:38:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7214e364f52bf8bb81d94e3d01f3258c6bfbb63a",
          "body": "Signed-off-by: Spycsh <sihan.chen@intel.com>",
          "is_bot": false,
          "headline": "fix b60 intra node bandwidth and p2p latency (#1301)",
          "author_name": "Sihan Chen",
          "author_login": "Spycsh",
          "committed_at": "2026-07-05T01:34:16Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9ce84ebbe3a0d7f785c91d055bdbdf4fdaabcbf1",
          "body": "* build: bundle core functionality in AIC wheel\n\nSigned-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\n\n* build: fold Spica into the root project\n\nSigned-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\n\n---------\n\nSigned-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\nCo-authored-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>",
          "is_bot": false,
          "headline": "build: bundle core functionality in AIC wheel (#1283)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-07-03T01:28:39Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dfc80b11f00bfbe5a8cd1b0f9d288170b2872218",
          "body": "* docs: link AIC developer universe\n\nSigned-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\n\n* docs: add AIC developer universe page\n\nSigned-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>\n\n---------\n\nSigned-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\nSigned-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>\nCo-authored-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>",
          "is_bot": false,
          "headline": "docs: add AIC developer universe page (#1278)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-07-02T23:52:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b2de845079e38d8cde9bc4cb3841f197b358611",
          "body": "Signed-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "docs(spica): document structured parallel projection (#1299)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-07-02T21:54:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8e123ef8e582302d414eee9370a4d5b5046aca73",
          "body": "…#1281)\n\nThe single-point cli estimate / AFD path auto-inferred fp8 FMHA for\nDeepSeek-V3 (and Kimi-K2.5) context MLA and then crashed with an\nunhandled PerfDataNotAvailableError, because the SILICON database has no\nfp8 FMHA context-MLA slice. The sweep path (task_v2) already downgrades\nimplicitly-in\n[…]\nives a concise error. Unit tests\ncover the context/gen x inferred/explicit matrix.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(cli): apply DeepSeek-V3/Kimi context FMHA rule in estimate path (…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-02T01:54:35Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ffbe240614742568e7b454bd2004a19147df087b",
          "body": "_sweep_one_parallel_agg built each per-batch RuntimeConfig field-by-field\nand copied only text-workload fields, so image_height, image_width,\nnum_images_per_request, and num_image_tokens reverted to dataclass\ndefaults. base_backend then resolved zero visual tokens and skipped\nencoder modeling, makin\n[…]\npoint config keeps all multimodal\nfields, including the num_image_tokens override.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(sdk): preserve multimodal fields in agg sweep point config (#1280)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-02T01:54:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3386cfcfc3ec3f8c29bac19fd3a101efbf9a7bd6",
          "body": "PR #1230 replaced --debug with --log-level but promised backward\ncompatibility (precedence --log-level > AICONFIGURATOR_LOG_LEVEL >\n--debug > INFO). The implementation dropped --debug entirely, so\nargparse rejected it with exit code 2 across all CLI modes.\n\nRestore --debug as a store_true deprecated\n[…]\nce. Update docs and add regression coverage for parsing and\nresolution precedence.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(cli): restore legacy --debug flag as deprecated alias (#1279)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-07-02T01:53:42Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f4d1bcc7590496d508843c1c37132e2d544fd003",
          "body": "* feat: GLM-5.2-NVFP4 support to AIC (collector + modeling)\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n* fix: collect only GLM-5.2-NVFP4 for shared sparse/MoE ops when both GLM-5/5.2 are present (with GLM-5 max_position ceiling on sparse shapes) and make generation skip-indexer queries read their\n[…]\nskip-indexer SOL/CP/collect correctness, backend-safe amortization, sparse dedup/ceiling env-filter\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n---------\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>",
          "is_bot": false,
          "headline": "feat: GLM-5.2-NVFP4 support to AIC (collector + modeling) (#1263)",
          "author_name": "Mr Knight",
          "author_login": "YijiaZhao",
          "committed_at": "2026-07-01T11:50:14Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ad0e3e5e31ee3b8ebcc69617f51b1bd5cfdd659a",
          "body": "* feat(spica): add structured parallel search\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* docs(spica): remove internal search plan\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* fix(spica): prune inactive component knobs\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* feat(spica): a\n[…]\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n* test(spica): allow projected cache hits\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n---------\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "feat(spica): add structured parallel search (#1262)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-06-30T21:33:26Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d5a49a9cdfa3b35169369304b9438054feea2acc",
          "body": "…rs (#1273)\n\nInvalid AFD sizing (e.g. f_moe_ep_size not dividing f_tp_size) raises a\nValueError deep in the SDK validation path. estimate mode called\n_run_estimate_mode directly, so the actionable message surfaced to the\nuser as a full Python traceback and an unhandled exception exit.\n\nWrap _run_est\n[…]\ntion, so the user sees a\nclean \"Error: ...\" line instead of internal stack frames.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(cli): convert estimate-mode validation errors to concise CLI erro…",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-06-30T20:52:27Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9ab3535732fa4770b0c990bfce7cd6e81387b380",
          "body": "Signed-off-by: Jason Zhou <jasonzho@nvidia.com>",
          "is_bot": false,
          "headline": "fix(sdk): respect effective perf-data exception chain (#1270)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-06-30T20:01:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "56818186608b873838a08732265967e4a14783e1",
          "body": "The release/0.10.0 branch still declared version 0.9.0 in pyproject.toml,\nrust/aiconfigurator-core/Cargo.toml, src/aiconfigurator-core/pyproject.toml,\nand the aiconfigurator-core dependency pin. This bumps all four so the branch\nproduces correctly-versioned 0.10.0 artifacts (python wheels + aiconfigurator-core\ncrate/extension).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore: bump version 0.9.0 -> 0.10.0 on release/0.10.0 (#1271)",
          "author_name": "Nate Mailhot",
          "author_login": "nv-nmailhot",
          "committed_at": "2026-06-30T18:42:20Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "b706a37d5565b4dcf4679762335bcd22359f2dee",
          "body": "Classify expected sweep no-result outcomes without traceback noise, distinguish model OOM, KV-cache capacity, and SLA failures, and preserve tracebacks for genuine errors in the new no-result exception chain.",
          "is_bot": false,
          "headline": "fix: report expected \"no results\" sweep outcomes cleanly (#1239)",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-06-30T16:54:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a3a070349c04795ab5ff375e269f0ede6664575f",
          "body": "* feat(cli): run Spica sweeper for trace defaults\n\nSigned-off-by: Jason Zhou <jasonzho@nvidia.com>\n\n* docs(cli): clarify Mooncake trace format\n\nSigned-off-by: Jason Zhou <jasonzho@nvidia.com>\n\n* feat(cli): align Spica trace output with default summary\n\nSigned-off-by: Jason Zhou <jasonzho@nvidia.com>\n[…]\nx(spica): make KVBM replay deterministic\n\nSigned-off-by: Jason Zhou <jasonzho@nvidia.com>\n\n---------\n\nSigned-off-by: Jason Zhou <jasonzho@nvidia.com>\nCo-authored-by: Simone Chen <maxmoe0105@gmail.com>",
          "is_bot": false,
          "headline": "feat(cli): add Spica thorough sweeps to default mode (#1244)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-06-30T16:43:15Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "036ab41bf745b41b8a14d0f71e899be5330aec1c",
          "body": "…outer dict (#1250)\n\n* fix(dsa): extrapolate per-backend sub-dicts instead of backend-keyed outer dict\n\nContextDSAModule and GenerationDSAModule _extrapolate methods were\npassing the {dsa_backend: {...}} arch_dict directly to\ninterpolation.extrapolate_data_grid, treating backend names as grid\naxis k\n[…]\nly (backend names not consumed as\ngrid x-axis). Verified to fail on the pre-fix code.\n\nSigned-off-by: magitoneu <magi.toneu@midokura.com>\n\n---------\n\nSigned-off-by: magitoneu <magi.toneu@midokura.com>",
          "is_bot": false,
          "headline": "fix(dsa): extrapolate per-backend sub-dicts instead of backend-keyed …",
          "author_name": "Magí Toneu",
          "author_login": "Magitoneu",
          "committed_at": "2026-06-30T14:29:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2cd0c07f2dd8ef0efa7e3ba4cfafe04d7b087413",
          "body": "…timate (#1228)\n\nThe Dynamo Mocker KV-cache capacity path (`sdk/memory.py`) sizes non-KV memory\nvia `BaseBackend._get_memory_usage`, which unconditionally scaled activation by\n`(nextn + 1)` for speculative decoding. On that path `num_tokens` is the engine's\n`max_num_tokens` budget, which already cap\n[…]\nudget across feasible Eagle draft lengths;\nit failed (no KV budget) before the fix.\n\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(sdk): stop double-counting MTP activation in KV-cache capacity es…",
          "author_name": "Yimingl_Nvidia",
          "author_login": "Arsene12358",
          "committed_at": "2026-06-30T01:28:01Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1501f6abdceabc62abd9f34a4f40329cfdc3e1e1",
          "body": "Signed-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "fix(sdk): support ModelOpt mixed precision quant metadata (#1241)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-06-29T22:31:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e015c0ed6c19af13f12986835c1fec27d575fba2",
          "body": "* refactor(collector): prune v2 cases without losing v1 coverage\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n* docs(collector): propose populate-time case compiler\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n* feat(collector): centralize case population and coverage guards\n\nSigned-off-by\n[…]\ny: Tianhao Xu <tianhaox@nvidia.com>\n\n* fix(collector): harden artifact-aware moe population\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>",
          "is_bot": false,
          "headline": "refactor(collector): prune v2 cases with artifact-aware coverage (#1256)",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-06-29T21:48:42Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "90d5d51de76a1ac3bafe5542cb69bbb0359c5d23",
          "body": "Signed-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "feat(spica): expand prefill candidates and bump Dynamo (#1261)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-06-29T19:00:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c2d7576cb5b1eed92ed5f09c9c0eec2f7afbaee8",
          "body": "…/MSA support (#1238)\n\n* feat(sdk): data-calibrated empirical mode via SOL-utilization\n\nReplace each op's fixed empirical scale_factor with a utilization read from\nreal collected data:\n\n    empirical_latency = SOL(query) / util,  util = SOL / measured\n\nutil is taken best-effort by nearest-neighbour \n[…]\nng low-latency check, avoiding\nLoadedOpData's dict-equality __eq__.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n* test(sdk):…",
          "is_bot": false,
          "headline": "feat(sdk): data-calibrated hybrid (util-space empirical) + MiniMax-M3…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-06-29T12:29:57Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "96e26fbeb5fb690a5698f85e1031d5b7b77d1abd",
          "body": "…(#1230)\n\n* feat(cli): add --log-level flag and AICONFIGURATOR_LOG_LEVEL env var\n\nAllow silencing the default INFO-level log lines via either a CLI flag\n\n(--log-level) or the AICONFIGURATOR_LOG_LEVEL env var. Resolution order:\n\nCLI flag > env var > --debug > default INFO. --debug is kept for\n\nbackwa\n[…]\narse_log_level and\nrelated helpers so setup_logging() trusts the caller's level directly.\n\nSigned-off-by: Peter Pan <Peter.Pan@daocloud.io>\n\n---------\n\nSigned-off-by: Peter Pan <Peter.Pan@daocloud.io>",
          "is_bot": false,
          "headline": "feat(cli): add --log-level flag and AICONFIGURATOR_LOG_LEVEL env var …",
          "author_name": "Peter Pan",
          "author_login": "panpan0000",
          "committed_at": "2026-06-29T09:05:45Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "cd084d2029f4cd508a65b09e6464ae0da8192bee",
          "body": "…… (#1247)\n\n* feat: sglang context parallelism (prefill) — dense zigzag + sparse/DSV4 + e2e sweep\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n* fix: address CodeRabbit review + CP auto-sweep + correct KV-memory model\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n* fix: model decode MoEDispatch comm under agg CP (pre=0 / post=all_reduce) and add cp output column\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n---------\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>",
          "is_bot": false,
          "headline": "feat: sglang context parallelism (prefill) — dense zigzag + sparse/DS…",
          "author_name": "Mr Knight",
          "author_login": "YijiaZhao",
          "committed_at": "2026-06-29T04:45:48Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "66c6e05fef00cbee6546847fa2280116ef4a38cd",
          "body": "Signed-off-by: hongkuanz <hongkuanz@nvidia.com>",
          "is_bot": false,
          "headline": "fix(fpm): use weighted hinge for prefill regression (#1253)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-06-27T03:24:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7dc197df986a443d72f9d85da0a468cd140d7cd1",
          "body": "* feat(spica): scaffold Spica smart-sweeper project skeleton (Profiler V2)\n\nIndependent project under aiconfigurator/spica/ for the Replay-backed smart\nsweeper from the DGDR profiler smart-search DEP. Milestone 1: project\nskeleton + input schema only.\n\n- pydantic input schema (SearchSpace / Workload\n[…]\nader to example config\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\n\n---------\n\nSigned-off-by: hongkuanz <hongkuanz@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(spica): Replay-backed smart sweeper (Profiler V2) (#1218)",
          "author_name": "Hongkuan Zhou",
          "author_login": "tedzhouhk",
          "committed_at": "2026-06-26T18:57:10Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8ce664aea0005f5c1b5efeddf35ea6c75c8f236a",
          "body": "…#1219)\n\n* fix(sdk): reuse older collected data in SILICON mode\n\nEnable the perf-database shared layer (sibling/cross-version row inheritance) in SILICON mode, not just HYBRID. Reused older collected data is still silicon data, so SILICON now fills shapes missing from the active backend/version from\n[…]\nom>\n\n* fix(sdk): enable shared-layer reuse by default\n\nSigned-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>\n\n---------\n\nSigned-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>",
          "is_bot": false,
          "headline": "fix(sdk): reuse older collected data in SILICON mode (shared layer) (…",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-06-26T18:24:49Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c3b7cda547d93990fb8732d9d8b3b8075ab14ace",
          "body": "Signed-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\nCo-authored-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>",
          "is_bot": false,
          "headline": "build: split AIC core into a separate wheel (#1251)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-06-26T18:19:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fd0b2e31584bb36394475ad9df620e334de919a2",
          "body": "…ation silicon (#1249)\n\n* feat(glm5-dsa): fix NVFP4 attention-quant detection + add GB200 fp8 generation silicon\n\nStacked on #1223 (glm5_cp_support).\n\n1. deepseek_v32.py: _dsa_attention_modules_excluded_from_quant now matches the real\n   nvidia/GLM-5-NVFP4 exclude format -- layer-prefixed `model.lay\n[…]\nxt) <noreply@anthropic.com>\nSigned-off-by: Yiming Li <yimingl@nvidia.com>\n\n---------\n\nSigned-off-by: Yiming Li <yimingl@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(glm5-dsa): NVFP4 attention-quant detection fix + GB200 fp8 gener…",
          "author_name": "Yimingl_Nvidia",
          "author_login": "Arsene12358",
          "committed_at": "2026-06-26T16:21:03Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e8b6e923f6eaee19abda466115753cae194c69fe",
          "body": "* add kcustomize for llmd deployment\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n* update llm-d to llm-d-helm and correct kustomize name\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n* add kustomization j2 file\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n* remove 0.17.0 dep for upstream\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n* fix readme\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>\n\n---------\n\nSigned-off-by: Spycsh <sihan.chen@intel.com>",
          "is_bot": false,
          "headline": "feat: Add llm-d Kustomize overlay deployment target (#1243)",
          "author_name": "Sihan Chen",
          "author_login": "Spycsh",
          "committed_at": "2026-06-26T06:07:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d738298fa01f87d6f461fe5a7e15fade23203c60",
          "body": "…t (#1246)\n\nB200 SXM mem_bw was 8 TB/s, higher than B300 SXM (7.75 TB/s), causing\ndecode throughput inversion where B200 outperformed B300 in simulations.\nUpdated to 7.7 TB/s per the official NVIDIA Blackwell datasheet.\n\nSigned-off-by: wanjia <jia.wanj@alibaba-inc.com>\nCo-authored-by: wanjia <jia.wanj@alibaba-inc.com>",
          "is_bot": false,
          "headline": "fix(systems): correct B200 SXM HBM bandwidth to 7.7 TB/s per datashee…",
          "author_name": "wanjia",
          "author_login": "wanjia",
          "committed_at": "2026-06-26T05:42:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cd31ad6718e21e7cb453f8fee638c54919a42602",
          "body": "* fix: guard run_agg tokens_s_user against tpot==0 for osl=1\n\nWhen osl=1 the generation phase is empty, tpot becomes 0, and\n`tokens_s_user = 1000 / tpot` raised ZeroDivisionError. The same\nfallback pattern (`0.0 if tpot == 0.0 else 1000.0 / tpot`) is\nalready used in run_static further down in the sa\n[…]\ngned-off-by: Peter Pan <Peter.Pan@daocloud.io>\n\n* fix: guard run_agg tokens/s/user by osl\n\nSigned-off-by: Peter Pan <Peter.Pan@daocloud.io>\n\n---------\n\nSigned-off-by: Peter Pan <Peter.Pan@daocloud.io>",
          "is_bot": false,
          "headline": "fix: guard run_agg tokens_s_user against tpot==0 for osl=1 (#1229)",
          "author_name": "Peter Pan",
          "author_login": "panpan0000",
          "committed_at": "2026-06-26T05:33:22Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "f2a97ed0870a1132b9468c5c71ca9db293b2a063",
          "body": "Signed-off-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>\nCo-authored-by: jasonqinzhou <jasonqinzhou@users.noreply.github.com>",
          "is_bot": false,
          "headline": "chore: remove webapp CLI command (#1245)",
          "author_name": "Jason Zhou",
          "author_login": "jasonqinzhou",
          "committed_at": "2026-06-25T01:36:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e46ece7510e727fafefb8212e5846172145a30ea",
          "body": "…(#1221)\n\n* fix(interpolation): fail accurately on insufficient data, drop silent handling\n\nPRs #1114 and #1158 changed the shared interpolation engine so it either\nsilently returned wrong values or raised errors the perf DB could not\nclassify. This makes the engine fail accurately when it cannot pr\n[…]\n<noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: fail accurately on insufficient data instead of silent handling …",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-06-24T00:00:07Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "2ae0a2aed63c05deb2c8f0583d6971d64e30bf6e",
          "body": "… (#1223)\n\n* feat: sglang DSA/sparse AIC collection + CP prefill modeling for glm5\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n* fix: collector kernel mismatch vs serve\n\nSigned-off-by: Kimi Zhao <kimiz@nvidia.com>\n\n* fix: incremental CP comm + sparse per-bs collection + CP review fixes\n\nSigned-off\n[…]\noff-by: Kimi Zhao <kimiz@nvidia.com>\nSigned-off-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Yiming Liu <yimingl@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: sglang DSA/sparse AIC collection + CP prefill modeling for glm5…",
          "author_name": "Mr Knight",
          "author_login": "YijiaZhao",
          "committed_at": "2026-06-23T16:47:27Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d908538fc5c9c5fc2d3bfcc8fd3d40cd8cd98806",
          "body": "* ci: upgrade Node 20 GitHub Actions to Node 24\n\nGitHub is deprecating the Node 20 actions runtime. Bump every action whose\naction.yml declares 'using: node20' to its Node 24 release across all workflows\n(build-test.yml is handled separately in PR #1206):\n\n  actions/checkout            v4 -> v5\n  ac\n[…]\nd-off-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>\n\n---------\n\nSigned-off-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "ci: upgrade Node 20 GitHub Actions to Node 24 (#1214)",
          "author_name": "Harrison Saturley-Hall",
          "author_login": "saturley-hall",
          "committed_at": "2026-06-23T15:37:47Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9e93fd34452e419046385958dbd126044c5fe30f",
          "body": "… pre-merge check (#1212)\n\n* fix(tests): evict dsv4_megamoe_workload from module cache after mock-torch import\n\ntest_dsv4_megamoe_env.py mocks sys.modules[\"torch\"] at collection time to\nimport collect_dsv4_megamoe without CUDA. collect_dsv4_megamoe imports\ndsv4_megamoe_workload at module level, so t\n[…]\neply@anthropic.com>\nSigned-off-by: Nathan Scott <nathans@redhat.com>\n\n---------\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(tests): fix mock-torch module cache pollution + disable docstring…",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-06-23T10:05:33Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0d2668649474858d0eaa251fb3d4cdb721cc98e0",
          "body": "* fix: correct mix-step latency over-estimation in run_agg\n\nFixes #1150.\n\nIntroduces BaseBackend._mix_step_efficiency(ctx_tokens, gen_tokens),\napplied to mix_step_latency_ms immediately after _get_mix_step_latency.\nDefault 1.0 preserves existing behaviour for backends without empirical\nefficiency da\n[…]\neply@anthropic.com>\nSigned-off-by: Nathan Scott <nathans@redhat.com>\n\n---------\n\nSigned-off-by: Nathan Scott <nathans@redhat.com>\nCo-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: add prefill dispatch overhead hook to T_prefill (#1166)",
          "author_name": "Nathan Scott",
          "author_login": "natoscott",
          "committed_at": "2026-06-23T09:49:15Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "6c22315219c9f22f2d6b1b8801824f6351125c90",
          "body": "* generator: DeploymentIR + single pipeline orchestrator + emit/manifest\n\nService-graph IR, one pipeline that builds the IR and emits artifacts (output unchanged), artifact manifest, environment profile schema/default.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nSigned-off-\n[…]\n1M context) <noreply@anthropic.com>\nSigned-off-by: etshen <etshen@nvidia.com>\n\n---------\n\nSigned-off-by: etshen <etshen@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: generator refactor (#1237)",
          "author_name": "Ethan-ES",
          "author_login": "Ethan-ES",
          "committed_at": "2026-06-23T09:33:06Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1cb6a8c254118137603194d9156659fc331f541f",
          "body": "…1216)\n\nDeepSeek-V4 attention stores one ``head_dim``-sized KV vector per token,\nshared across all attention heads (MLA / MQA-equivalent layout). This is\nalready reflected in the storage-capacity formula in\n``DeepSeekV4Model.get_kvcache_bytes_per_sequence``, which derives\n``cache_entry_bytes = head_\n[…]\nnt of ``num_heads`` for MQA-style storage.\n\nAll 51 existing DeepSeek-V4 unit tests continue to pass.\n\nSigned-off-by: wanjia <jia.wanj@alibaba-inc.com>\nCo-authored-by: wanjia <jia.wanj@alibaba-inc.com>",
          "is_bot": false,
          "headline": "fix(dsv4): use MQA-correct KV cache bytes in attention SOL formula (#…",
          "author_name": "wanjia",
          "author_login": "wanjia",
          "committed_at": "2026-06-23T08:22:01Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b5ebf734521129b6e7852be8bc9b68f1dc629c57",
          "body": "…d (#1233)\n\n* fix(data): re-collect ragged perf grids from #1114/#1158 healing PRs\n\nReplace ragged/sparse perf parquet (introduced by #1114 B200 replay and #1158\nL40S heal) with freshly collected data from the aic-auto-collector campaign\n(GitLab dl/ai-dynamo/aic-auto-collector, 2026-06-15, AIC_REVIS\n[…]\n<noreply@anthropic.com>\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\n\n---------\n\nSigned-off-by: Tianhao Xu <tianhaox@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: clean up partial perf data and constrain collector attention gri…",
          "author_name": "Tianhao Xu",
          "author_login": "tianhaox",
          "committed_at": "2026-06-22T17:54:17Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "31380331f8baa100ca73b90d94136ceadc409a8e",
          "body": "* fix: bound parity-scan worker memory via --max-tasks-per-child\n\nEach scan worker holds a per-process SupportMatrix that caches the perf DB\n+ models for every (model,system,backend,version) it touches; without\nrecycling this grows unbounded and OOM-kills long full-matrix runs (workers\nhang / Broken\n[…]\nne bad entry doesn't kill the rest.\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\n\n---------\n\nSigned-off-by: Simone Chen <simonec@nvidia.com>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(rust): close Rust↔Python engine-step latency parity gate (#1235)",
          "author_name": "Simone Chen",
          "author_login": "simone-chen",
          "committed_at": "2026-06-22T17:48:51Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
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                "key": "openssf_scorecard_contributors",
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              "followers": 738,
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              {
                "key": "verified_domain",
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                "max_points": 20
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              {
                "key": "owner_reach",
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                "max_points": 25
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              {
                "key": "track_record",
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                "detail": "15 public repos, account ~1 yr old",
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          {
            "key": "package_maintenance",
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            "name": "Package maintenance",
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                "key": "publish_recency",
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                "key": "version_history",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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                "key": "ci_workflows",
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              {
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        ],
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              },
              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              {
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                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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                "key": "pinned_dependencies",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
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            ]
          },
          {
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            "notes": [
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              {
                "code": "advisories_scope_published",
                "params": {
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              },
              {
                "code": "advisories_reachability",
                "params": {}
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            ],
            "value": 100,
            "inputs": {
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              "affected_by_severity": "none",
              "direct_affected_packages": 0
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
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                "status": "met",
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                "max_points": 35
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              {
                "key": "indirect_dependencies_free_of_known_advisories",
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                "detail": "no indirect dependency carries a known advisory",
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                "status": "met",
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                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "advisories_no_publication_date",
                    "params": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "malicious_dependencies",
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            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 35,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "no_malicious_dependencies",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.

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