Öffentliches Register
Software-GesundheitsberichtSchema 0.30.0 · Metriken 2.3.1 · 2026-08-03 07:23 UTC

pipecat-ai / pipecat

Open Source framework for voice and multimodal conversational AI

PythonBSD-2-Clause★ 13.872 Sterne⑂ 2.396 Forksseit Dez. 2023Auf GitHub ansehen ↗
ArtKommandozeilenwerkzeugBibliothekwie das ermittelt wird

pipecat-ai/pipecat erreicht einen Gesundheitsindex von 98 von 100 und liegt damit im Bereich Außergewöhnlich. Am stärksten schneidet es bei Vitality (100/100) ab, am schwächsten bei Security (71/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

98
gesamt / 100
Außergewöhnlich

Software-Gesundheitsindex

Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.

98
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Exzellent80-92Durchgehend stark; geringfügige Lücken
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende 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.

Der gewichtete Gesamtwert 86 wird auf der veröffentlichten Indexskala auf 98 kalibriert (Register-Kalibrierung 2026-08-02).

Eigentümerschaft

PipecatOrganisation
673 Follower58 öffentliche Reposseit Mai 2024

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIpipecat-ai1.7.01.183.077109vor 1 Tagwebrtcaudiovideoai

Metriken nach Kategorie

Vitalität

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

100Außergewöhnlich · 21 % des Gesamtindex

Entwicklungsaktivität

100Außergewöhnlich
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
36/36Commit-Rhythmus — 52/52 Wochen mit Commits
18/18Commit-Volumen — 6.276 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year6.276
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release-Disziplin

100Außergewöhnlich
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 1 Tagen
27/27Release-Rhythmus — ein Release etwa alle 14,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv1.7.0
releases_from_tagsnein
days_since_latest_release1
mean_days_between_releases14,1
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?

90Exzellent · 17 % des Gesamtindex

Popularität & Verbreitung

95Außergewöhnlich
Wie die Bewertung erfolgt
60/60Stars — 13.872 Stars
25/25Forks — 2.396 Forks
10.4/15Watcher — 76 Watcher
Verwendete Eingangsdaten
forks2.396
stars13.872
watchers76
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-2-Clause)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
readme_badges5
has_contributingja
has_issue_templatenein
has_code_of_conductnein
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateja
Wie die Bewertung erfolgt
80/80Downloads pro Monat — 1.183.077 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespipecat-ai
dependents
ecosystemspypi
total_downloads
monthly_downloads1.183.077
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.

Nachhaltigkeit & Governance

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

77Gut · 23 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
15.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 31 % der Commits
13.5/13.5Breite der Beitragenden — 99 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled99
top_contributor_share0,307
Wie die Bewertung erfolgt
39.2/42Issue-Lösungsquote — 93 % der Issues geschlossen
24.1/30PR-Annahme — 3.055/3.809 entschiedene PRs gemergt
5.6/13Newcomer PR acceptance — 3/7 PRs von Erstbeitragenden in 30 Tagen gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs3.055
open_issues84
closed_issues1.168
prs_merged_7d38
prs_decided_7d49
prs_merged_30d38
prs_decided_30d49
issue_closed_ratio0,933
closed_unmerged_prs754
first_time_authors_30d7
first_time_prs_merged_30d3
first_time_prs_decided_30d7
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
20.3/25Reichweite des Inhabers — 673 Follower von pipecat-ai
17.3/25Kontohistorie — 58 öffentliche Repos, Kontoalter ca. 2 Jahre
Verwendete Eingangsdaten
followers673
owner_typeOrganization
is_verified
owner_loginpipecat-ai
public_repos58
account_age_days812

Paketpflege

100Außergewöhnlich
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1 Tagen
20/20Versionshistorie — 109 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespipecat-ai
ecosystemspypi
any_deprecatednein
min_days_since_publish1

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 19 % des Gesamtindex

Engineering-Praktiken

94Außergewöhnlich
Wie die Bewertung erfolgt
24/24CI-Workflows — 11 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — eslint.config.js, eslint.config.mjs
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 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

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://pipecat.ai
10/10Repository-Beschreibung
10/10Topics — 6 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsai, real-time, voice, voice-assistant, chatbot-framework, chatbots
has_wikinein
homepagehttps://pipecat.ai
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

71Gut · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 8 out of 8 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 13 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 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.

Abhängigkeits-Advisories

100Außergewöhnlich
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_packages52
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:pipecat-ai@1.7.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 52 Paketen. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.

80Exzellent · 4 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 83 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,83
agent_instruction_filesAGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md
agent_instruction_max_bytes29.522
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/api/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — eslint.config.js, eslint.config.mjs
11/11Statische Typprüfung — pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
4/10Belegte Agentenpraxis — 2 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespackage-lock.json, uv.lock
has_dockerfileja
typed_languagenein
bootstrap_filesdocs/api/Makefile
has_devcontainernein
has_linter_configja
typecheck_configspyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed
agent_commit_share0,02
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed)
54.2/55Handhabbare Dateigrößen — 18/1.199 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes146.524
source_files_sampled1.199
oversized_source_files18
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — src/pipecat/frames/frames.proto
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_filessrc/pipecat/frames/frames.proto

Eckdaten

13.872GitHub-Sterne
99Mitwirkende
6.276Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
2Bus-Faktor
84offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 28 authors (cap 12)

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 2.396 ⇿
0Sterne
2.396Forks
25Releases

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.

Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.

1.2001.6002.0002.4002.396182025-112026-032026-08
Major 1Minor 7Patch 17
OpenSSF Scorecard 6.4 / 10
6.4Gesamtwert

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 · 2026-08-03 07:22 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests8 out of 8 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 13 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 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 22
RegistryPaketVersionsvorgabeManifest
PyPIaiofiles>=24.1.0,<27pyproject.toml
PyPIaiohttp>=3.11.12,<4pyproject.toml
PyPIaudioop-lts~=0.2.1pyproject.toml
PyPIdocstring_parser>=0.16,<1pyproject.toml
PyPIloguru~=0.7.3pyproject.toml
PyPIMarkdown>=3.7,<4pyproject.toml
PyPInltk>=3.10.0,<4pyproject.toml
PyPInumpy>=1.26.4,<3pyproject.toml
PyPIPillow>=11.1.0,<13pyproject.toml
PyPIprotobuf>=5.29.6,<7pyproject.toml
PyPIpydantic>=2.10.6,<3pyproject.toml
PyPIpyloudnorm~=0.2.0pyproject.toml
PyPIresampy~=0.4.3pyproject.toml
PyPIsoxr~=1.0.0pyproject.toml
PyPIopenai>=1.74.0,<3pyproject.toml
PyPItyping_extensions>=4.9pyproject.toml
PyPInumba>=0.61.2,<1pyproject.toml
PyPIwait_for2>=0.4.1,<1pyproject.toml
PyPIwebsockets>=13.1pyproject.toml
PyPIpyyaml>=6,<7pyproject.toml
PyPInum2words>=0.5.14pyproject.toml
PyPIonnxruntime~=1.24.3pyproject.toml
Alle Abhängigkeiten 448

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 23 direkte und 425 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIaiofiles24.1.0direkt
PyPIaiohttp3.14.1direkt
PyPIaudioop-lts0.2.2direkt
PyPIdocstring-parser0.18.0direkt
PyPIloguru0.7.3direkt
PyPImarkdown3.10.2direkt
PyPInltk3.10.0direkt
PyPInum2words0.5.14direkt
PyPInumba0.65.1direkt
PyPInumpy2.4.6direkt
PyPIonnxruntime1.24.4direkt
PyPIopenai2.38.0direkt
PyPIpillow12.3.0direkt
PyPIprotobuf6.33.5direkt
PyPIpydantic2.11.10direkt
PyPIpydantic2.13.4direkt
PyPIpyloudnorm0.2.0direkt
PyPIpyyaml6.0.3direkt
PyPIresampy0.4.3direkt
PyPIsoxr1.0.0direkt
PyPItyping-extensions4.15.0direkt
PyPIwait-for20.4.1direkt
PyPIwebsockets15.0.1direkt
npm@babel/runtime7.29.7indirekt
npm@daily-co/daily-js0.90.0indirekt
npm@emnapi/core1.10.0indirekt
npm@emnapi/runtime1.10.0indirekt
npm@emnapi/wasi-threads1.2.1indirekt
npm@napi-rs/wasm-runtime1.1.5indirekt
npm@oxc-project/types0.133.0indirekt
npm@pipecat-ai/client-js1.12.0indirekt
npm@pipecat-ai/small-webrtc-transport1.10.5indirekt
npm@rolldown/binding-android-arm641.0.3indirekt
npm@rolldown/binding-darwin-arm641.0.3indirekt
npm@rolldown/binding-darwin-x641.0.3indirekt
npm@rolldown/binding-freebsd-x641.0.3indirekt
npm@rolldown/binding-linux-arm-gnueabihf1.0.3indirekt
npm@rolldown/binding-linux-arm64-gnu1.0.3indirekt
npm@rolldown/binding-linux-arm64-musl1.0.3indirekt
npm@rolldown/binding-linux-ppc64-gnu1.0.3indirekt
npm@rolldown/binding-linux-s390x-gnu1.0.3indirekt
npm@rolldown/binding-linux-x64-gnu1.0.3indirekt
npm@rolldown/binding-linux-x64-musl1.0.3indirekt
npm@rolldown/binding-openharmony-arm641.0.3indirekt
npm@rolldown/binding-wasm32-wasi1.0.3indirekt
npm@rolldown/binding-win32-arm64-msvc1.0.3indirekt
npm@rolldown/binding-win32-x64-msvc1.0.3indirekt
npm@rolldown/pluginutils1.0.1indirekt
npm@sentry-internal/browser-utils8.55.2indirekt
npm@sentry-internal/feedback8.55.2indirekt
npm@sentry-internal/replay8.55.2indirekt
npm@sentry-internal/replay-canvas8.55.2indirekt
npm@sentry/browser8.55.2indirekt
npm@sentry/core8.55.2indirekt
npm@tybys/wasm-util0.10.2indirekt
npm@types/events3.0.3indirekt
npmbowser2.14.1indirekt
npmclone-deep4.0.1indirekt
npmdequal2.0.3indirekt
npmdetect-libc2.1.2indirekt
npmevents3.3.0indirekt
npmfdir6.5.0indirekt
npmfsevents2.3.3indirekt
npmis-plain-object2.0.4indirekt
npmisobject3.0.1indirekt
npmkind-of6.0.3indirekt
npmlightningcss1.32.0indirekt
npmlightningcss-android-arm641.32.0indirekt
npmlightningcss-darwin-arm641.32.0indirekt
npmlightningcss-darwin-x641.32.0indirekt
npmlightningcss-freebsd-x641.32.0indirekt
npmlightningcss-linux-arm-gnueabihf1.32.0indirekt
npmlightningcss-linux-arm64-gnu1.32.0indirekt
npmlightningcss-linux-arm64-musl1.32.0indirekt
npmlightningcss-linux-x64-gnu1.32.0indirekt
npmlightningcss-linux-x64-musl1.32.0indirekt
npmlightningcss-win32-arm64-msvc1.32.0indirekt
npmlightningcss-win32-x64-msvc1.32.0indirekt
npmlodash4.18.1indirekt
npmnanoid3.3.16indirekt
npmpicocolors1.1.1indirekt
npmpicomatch4.0.4indirekt
npmpostcss8.5.24indirekt
npmrolldown1.0.3indirekt
npmrxjs7.8.2indirekt
npmshallow-clone3.0.1indirekt
npmsource-map-js1.2.1indirekt
npmtinyglobby0.2.17indirekt
npmtslib2.8.1indirekt
npmtyped-emitter2.1.0indirekt
npmuuid11.1.1indirekt
npmvite8.0.16indirekt
PyPIaccelerate1.10.1indirekt
PyPIaic-sdk2.5.0indirekt
PyPIaiobotocore3.7.0indirekt
PyPIaiohappyeyeballs2.6.2indirekt
PyPIaioice0.10.2indirekt
PyPIaioitertools0.13.0indirekt
PyPIaiortc1.14.0indirekt
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Abhängigkeits-Advisories 0

Die Installation von pypi:pipecat-ai@1.7.0 zieht 52 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
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          "body": "evals: support setting language on built-in speech/transcription services",
          "is_bot": false,
          "headline": "Merge pull request #5171 from pipecat-ai/evals-speech-language",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T19:51:12Z",
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        {
          "oid": "72ac82c54add5f88a3b69f76177afc372fff70c8",
          "body": "Both service modules raise ImportError when their optional dependency is\nabsent, which fails collection for anyone — CI included — running without those\nextras installed. Guard each suite with importorskip so it skips instead.",
          "is_bot": false,
          "headline": "tests: skip the Kokoro and Whisper suites without their extras",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T19:40:10Z",
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        {
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          "body": "Both notes explain a choice the code can't show — why Moonshine is the wrong\ntranscriber for a non-English bot, and why a runtime language switch reports\ninstead of raising. Phrase each as the constraint itself.",
          "is_bot": false,
          "headline": "evals: state the transcriber constraints as constraints",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T19:32:51Z",
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          "body": "`language_switch_audio` asks the bot (in English) to reply only in Spanish and\njudges the transcription of the Spanish it actually speaks, so the release suite\ncovers a non-English answer surviving the bot's TTS and the harness's STT. The\nexisting `language_switch` makes the same request but judges \n[…]\nario, so the bot's English greeting is asserted\non `tts_response` and only the Spanish turn on `response`.\n\nRun artifacts under test-runs/ are ignored — the suite writes conversation\nrecordings there.",
          "is_bot": false,
          "headline": "evals: add a Spanish audio scenario for the release suite",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T19:31:16Z",
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          "body": "Both local transcribers are English-only in their default configuration:\nWhisper's default model is a `.en` build, and Moonshine ships non-English\nmodels only for the `base` architecture. Setting `language` alone isn't enough\non either, so the builders say which model to pair it with, and the scenario\nexamples show a combination that works.",
          "is_bot": false,
          "headline": "evals: document the model a non-English language needs",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:54:19Z",
          "body_truncated": false,
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          "body": "The English-only models — every `.en` one, including the default\n`distil-medium.en` — accept any language and transcribe as English regardless,\nso a non-English `language` yielded fluent-looking output in the wrong language\nwith nothing to distinguish it from a correct result. Loading such a pairing\n[…]\n.\n\nA mid-call switch through `STTUpdateSettingsFrame` reports a non-fatal error\ninstead: the model stays loaded and keeps transcribing, which beats tearing\ndown a live pipeline over a settings change.",
          "is_bot": false,
          "headline": "whisper: reject a language the loaded model can't transcribe",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:54:04Z",
          "body_truncated": true,
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          "oid": "a9000b117832a0b14bc331bf5accfdad3033386b",
          "body": "kokoro-onnx phonemizes through espeak-ng, so the language map holds espeak-ng\nvoice names rather than ISO codes. espeak-ng ships no `zh` and no bare `fr`, so\nboth languages failed at synthesis with \"language ... is not supported by the\nespeak backend\". Mandarin and its regional variants map to `cmn` and French to\n`fr-fr`, with the regional French and Brazilian Portuguese variants pointed at\nthe espeak-ng voices that exist for them.",
          "is_bot": false,
          "headline": "kokoro: use espeak-ng voice names for French and Mandarin",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:40:59Z",
          "body_truncated": false,
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          "oid": "c762f30972ad7a5d7f49b64ed5d504e8eef2c442",
          "body": "`_cfg_language` decides whether a scenario's `language:` key reaches the\nservice at all, so its branches are worth pinning on their own: absent and\nblank values leave the field unset, a code or a `Language` is accepted, and\nanything unrecognized raises. The Cartesia builder tests stay as the check that\na resolved language actually reaches the constructed service.",
          "is_bot": false,
          "headline": "evals: cover the language config coercion directly",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:23:36Z",
          "body_truncated": false,
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        },
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          "body": "The builders take their configuration as a dict, so the recognized keys belong\nin each function's `Args:` entry, where Sphinx renders them alongside the\nparameters they describe. Notes the constraints a caller can't see from the\nsignature: Kokoro voices are language-specific, so a non-English `language`\nneeds a matching `voice`, and a region variant like `zh-TW` falls back to the\nbase code on most services.",
          "is_bot": false,
          "headline": "evals: document the speech builder config keys as parameters",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:21:26Z",
          "body_truncated": false,
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        },
        {
          "oid": "99bb6645d13f482f4d75e8b403765618795492c4",
          "body": "Every settings field defaults to NOT_GIVEN and the sentinel is a singleton, so\npassing NOT_GIVEN for `language` is indistinguishable from leaving the field\nout. Each builder hands `_cfg_language()` straight to its `Settings`\nconstructor, which keeps the call type-checked and drops the per-builder\nconditional.",
          "is_bot": false,
          "headline": "evals: build speech service settings in a single expression",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:10:31Z",
          "body_truncated": false,
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          "oid": "e6b625ddd75865c8e3cda99ba945a5b24921d34f",
          "body": "WhisperSTTService defaults to Language.EN and passes it straight to\nfaster-whisper, so omitting `language` in a `judge.transcription:` block\ntranscribes as English rather than auto-detecting. State that in\n`whisper_service`, matching how the other builders document their defaults.\n\nAlso trims docstring and test comments that only restate the adjacent code.",
          "is_bot": false,
          "headline": "evals: correct the Whisper language default in the builder docs",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:05:42Z",
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          "body": "Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Apply suggestions from code review",
          "author_name": "James Hush",
          "author_login": "jamsea",
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          "body": null,
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          "headline": "changelog: add fragment for eval speech/transcription language support",
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          "oid": "6f6a5d6b4badb42bf3f7477050f2f28144e17b6c",
          "body": "…ices\n\nThe eval harness runs its own TTS to synthesize user turns and its own\nSTT to transcribe the bot's audio for the judge. The built-in service\nbuilders read voice and model from the scenario config but never a\nlanguage, so non-English audio evals synthesized with an English voice\nand transcribe\n[…]\noerces\nfrom a code string like zh or a Language. The TTS cache key includes the\nlanguage so English and non-English renders of the same text don't\ncollide. Omitting language leaves behavior unchanged.",
          "is_bot": false,
          "headline": "evals: support setting language on built-in speech/transcription serv…",
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          "body": "Release 1.7.0 - Changelog Update",
          "is_bot": false,
          "headline": "Merge pull request #5191 from pipecat-ai/changelog-1.7.0",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T16:11:46Z",
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          "headline": "Update changelog for version 1.7.0",
          "author_name": "markbackman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T16:00:25Z",
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          "body": "…sage\n\nfix(novita): report token usage once per completion",
          "is_bot": false,
          "headline": "Merge pull request #5180 from pipecat-ai/mb/novita-cumulative-token-u…",
          "author_name": "Mark Backman",
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          "body": "Baseten, Grok, Perplexity and NVIDIA each repeat a cumulative token usage\nsnapshot on every streamed chunk. Each service holds the latest snapshot in a\nsingle field and reports it through the base implementation when the completion\nends, including when the response is interrupted mid-stream. This ma\n[…]\name the streaming loop that calls the\noverridden method.\n\nReporting the snapshot whole means Perplexity and NVIDIA carry the cache-read\nand reasoning counts alongside the prompt and completion counts.",
          "is_bot": false,
          "headline": "refactor(llm): report cumulative token usage once per completion",
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          "headline": "fix(novita): report token usage once per completion",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:34:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ed00b4c9e4cbbc0cf9a461b282fe091d7b65ad7d",
          "body": "…text\n\nPreserve Anthropic thinking blocks that carry no thought text",
          "is_bot": false,
          "headline": "Merge pull request #5183 from pipecat-ai/mb/anthropic-empty-thinking-…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:24:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e54e421b41d75fb56ac7b64356d582694f7f1d1",
          "body": null,
          "is_bot": false,
          "headline": "Merge pull request #5189 from pipecat-ai/mb/test-env-isolation",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T14:59:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6d7e7c5c99894b63f80a87b6e0a2d919c9aa40b4",
          "body": "pytest imports every test module while collecting, so a module calling\nload_dotenv() at import scope loads the repository's .env into os.environ\nbefore the first test runs. Tests then see whichever variables a developer\nhappens to have configured, and diverge from CI, which has no .env.\n\n`KrispVivaI\n[…]\nsince collecting that file alone imports nothing that\nloads dotenv.\n\nconftest.py stubs load_dotenv for the session, and that test clears the\nenvironment around the construction so it holds either way.",
          "is_bot": false,
          "headline": "Isolate the test suite from a local .env file",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T14:36:19Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "f8d8679a5cbbc1533862227641886b6e24e0134a",
          "body": "…ategy-discard\n\nfix(user_mute): tolerate double / orphan function-call result frames",
          "is_bot": false,
          "headline": "Merge pull request #4824 from Maurotb/fix/function-call-user-mute-str…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:58:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0fa67163ea1eba84b0248563436404416fb50855",
          "body": "…tegy\n\nFunctionCallUserMuteStrategy receives result and cancel frames for tool\ncall ids it never tracked: the built-in cancel_async_tool_call is\nexcluded from FunctionCallsStartedFrame yet still emits a result, and\nasync tools emit a result frame per intermediate update. Cover both\nagainst a real LLMService and at the strategy level, including an\nuntracked id arriving while another call is still running, and name\nthose paths in the comment and changelog.",
          "is_bot": false,
          "headline": "test(user_mute): cover untracked tool call ids reaching the mute stra…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:53:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "497f15502d1e2fec46d98db3cd6c8267ebd75818",
          "body": "``FunctionCallUserMuteStrategy.process_frame`` removed the tool_call_id\nfrom its ``_function_call_in_progress`` set via ``set.remove`` on every\n``FunctionCallResultFrame`` / ``FunctionCallCancelFrame``. That raises\n``KeyError`` if the id is absent — which happens in two real scenarios:\n\n1. **Multi-w\n[…]\ned + result +\n  result (second must not raise).\n- ``test_tolerates_orphan_cancel_frame``: cancel with no prior start\n  must not raise.\n\nBoth fail on ``main`` with ``KeyError``; both pass with the fix.",
          "is_bot": false,
          "headline": "fix(user_mute): tolerate double / orphan function-call result frames",
          "author_name": "root",
          "author_login": "Maurotb",
          "committed_at": "2026-08-01T13:53:03Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "283870798b2fb0801fbcdc8bfe201d5cb637f83e",
          "body": "…rics\n\nfeat(aws-nova-sonic): report LLM token usage metrics",
          "is_bot": false,
          "headline": "Merge pull request #4783 from ANGdesarrollo/feat/nova-sonic-usage-met…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:35:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "660792928fde72c4d1db6a851d95e1daa069e522",
          "body": "…-error-4724\n\nfix: AWSBedrockLLMAdapter raises UnboundLocalError for image-before-text content (#4724)",
          "is_bot": false,
          "headline": "Merge pull request #4796 from singlaamitesh/fix/bedrock-unbound-local…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:35:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3b402749bc2dd6001812938f900e2b1325151366",
          "body": "The Nova Sonic tests guard their import with pytest.importorskip, so\nwithout aws_sdk_bedrock_runtime installed they skip rather than run.",
          "is_bot": false,
          "headline": "ci: install the aws-nova-sonic extra for tests and coverage",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:24:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5cc95ebb983e4c041f9e89199b2a1c0c0f577363",
          "body": null,
          "is_bot": false,
          "headline": "chore(changelog): cover Nova Sonic token usage metrics",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:24:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a13b710e327384b4d380c6e3ba38ab4bf6f5328a",
          "body": null,
          "is_bot": false,
          "headline": "chore(changelog): name the Bedrock image-order fragment after its PR",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:22:55Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "88b933ce78aa13467be7b3c0a5402a99900b34b0",
          "body": "The `insert` that moves a single image before text in a content list was\noutside the `if img_idx > first_txt_idx:` guard that assigns `image_item`.\nWhen the image already appeared first the guard body was skipped, leaving\n`image_item` unassigned, and the subsequent `insert` raised\n`UnboundLocalError\n[…]\needed. Adds two regression tests: one for image-first (the crash\ncase) and one for text-first (the existing reorder behaviour).\n\nFixes #4724.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: AWSBedrockLLMAdapter UnboundLocalError on image-before-text content",
          "author_name": "singlaamitesh",
          "author_login": "singlaamitesh",
          "committed_at": "2026-08-01T13:22:55Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c7dd96820e0f6e6de06d1b627ca8b04683c7891a",
          "body": "fix(aws): capture all tool calls in Bedrock streaming responses",
          "is_bot": false,
          "headline": "Merge pull request #4918 from anxkhn/loop/pipecat__003",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T12:20:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5a401551c3d0a9bd94933b9d1f86fb06c9805555",
          "body": "Fragments are keyed by PR number: towncrier's issue_format links each one\nto /pull/{issue}.",
          "is_bot": false,
          "headline": "chore(changelog): name the Bedrock tool call fragment after its PR",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T12:14:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6453b6db220bd13dbb2623cfba53bbf1a3bcc507",
          "body": "fix(asyncio): track TaskManager tasks by object, not name",
          "is_bot": false,
          "headline": "Merge pull request #5025 from anxkhn/patch-13",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T12:11:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3a44ab8f288524ecfa95c7b6ecf03090d420a55f",
          "body": "TaskManager kept its task registry in a dict keyed by task name. Task\nnames are not unique: BaseObject.create_task derives the name from the\ncoroutine's co_name when none is given, so several concurrently running\ntasks on the same object can share a name (for example the parallel\nfunction-call tasks\n[…]\nnstead, which is unique per task.\nAdd a regression test asserting two overlapping same-named tasks are both\ntracked while they run.\n\nSigned-off-by: Anas Khan <83116240+anxkhn@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix(asyncio): track TaskManager tasks by object, not name",
          "author_name": "Anas Khan",
          "author_login": "anxkhn",
          "committed_at": "2026-08-01T12:05:19Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "66a988ea7436d33e84d854545e4f56cf1e368715",
          "body": "fix(dtmf): key cached DTMF audio by sample rate, not just button",
          "is_bot": false,
          "headline": "Merge pull request #4766 from he-yufeng/fix/dtmf-cache-sample-rate",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T11:43:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "84cdaf721c149f39b099d7a144d3c6fb14745167",
          "body": "fix(cli): include video extras in generated projects",
          "is_bot": false,
          "headline": "Merge pull request #5031 from ShiroKSH/fix/video-service-scaffold-extras",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T04:40:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2dfcbb0fd902cd171610f2a8ed12f0f0273b6060",
          "body": null,
          "is_bot": false,
          "headline": "Cover the video extras fix in the changelog",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T04:33:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a44b82f1a25f6a915ca73bc87b72061f2b620fee",
          "body": "feat(openai): add http_client parameter to OpenAI TTS and Whisper-based STT services",
          "is_bot": false,
          "headline": "Merge pull request #4941 from scttbnsn/fix/openai-http-client",
          "author_name": "Scott Benson",
          "author_login": "scttbnsn",
          "committed_at": "2026-08-01T04:22:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f43755f54dab2276312c0687cd3476a17ae8fdc0",
          "body": "fix(sambanova): correct _process_context return annotation",
          "is_bot": false,
          "headline": "Merge pull request #4984 from anxkhn/patch-9",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:37:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3ebe8dd5fe09d9bae252a34ad5ebb5da27955205",
          "body": "fix(currency): stop leaking 3rd+ fractional digits onto the cents word",
          "is_bot": false,
          "headline": "Merge pull request #4969 from anxkhn/patch-10",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:36:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f84c8146abc33c5073f8f44198b34815957e32ae",
          "body": "…ter-background-audio\n\nAdd filter_background_audio option to ElevenLabs Realtime STT",
          "is_bot": false,
          "headline": "Merge pull request #5003 from akash-dutta-dev/elevenlabs-realtime-fil…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:25:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9a238ffcab31a166eb3476c7f24abb6f5a58a8f",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:24:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "727d0845a7a6687becd7f1fd33b4b8484206e429",
          "body": "Anthropic requires thinking blocks to be passed back unmodified within a\ntool-use turn. The signature is what makes a block valid: it carries the\nencrypted reasoning the API decrypts when the block returns. Models that\ndefault to `display: \"omitted\"` return blocks whose thought text is empty,\nso conversion gates on the signature alone and round-trips the empty text.\n\nA thought carrying no signature has no valid thinking-block form and is\nskipped during conversion.",
          "is_bot": false,
          "headline": "Preserve Anthropic thinking blocks that carry no thought text",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:24:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3d64e6a8bbd438d112c0a69494e30b16bc386b90",
          "body": "The realtime STT connection tests pin that the flag reaches the query\nstring under the manual commit strategy, since background filtering is\nnot scoped to VAD the way the VAD tuning params are, and that an unset\nflag is omitted entirely.",
          "is_bot": false,
          "headline": "Cover filter_background_audio in tests and the changelog",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:18:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b764e23a8da557e74ac5496dfeafb5b9f9043b83",
          "body": "Exposes ElevenLabs' server-side filter_background_audio flag (already echoed in the session_started config) on the realtime STT WebSocket. When set, it is appended to the connection query string, independent of commit strategy, so ElevenLabs suppresses background/far-end audio. This reduces spurious/hallucinated transcripts on noisy telephony audio.\n\nSigned-off-by: Akash Dutta <akash.dutta9830489799@gmail.com>",
          "is_bot": false,
          "headline": "Add filter_background_audio option to ElevenLabs Realtime STT",
          "author_name": "Akash Dutta",
          "author_login": "akash-dutta-dev",
          "committed_at": "2026-08-01T03:17:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5f3ce0e9f40917a91fa9cbd5b0294fd57e3b2f6e",
          "body": "…tation\n\nfix: avoid mutating developer roles in LLM context",
          "is_bot": false,
          "headline": "Merge pull request #5027 from C0deRatoR/fix/openai-adapter-context-mu…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:10:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "987d13092534b3b51558357cf16efdcfcd56e14a",
          "body": "Unpacking a message dict to rewrite its role produces a plain dict, which\ndoesn't satisfy the ChatCompletionMessageParam TypedDict union, so the\nrewritten message is cast back the way the rest of the adapter casts at\nthe LLMContext/OpenAI boundary.",
          "is_bot": false,
          "headline": "Type the developer-to-user conversion at the OpenAI boundary",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:04:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d475af419970f535c098f7c8bfee6142c94d85aa",
          "body": "The entry described the adapter-level mutation without naming the\nservices it affects or the symptom a user would notice.",
          "is_bot": false,
          "headline": "Name the affected services in the developer-role changelog entry",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:50:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d9750c2d90572efbe993aec0c8b1f0500f7e5ce4",
          "body": "Adapters that pass the system instruction as a separate parameter convert\na single initial system message to \"user\" rather than extracting it, so\nthe provider isn't sent an empty conversation history. The message dicts\nhanded to `_extract_initial_system` are shared with the LLMContext, so\nthe converted message is now a copy and the stored history keeps its\n\"system\" role.",
          "is_bot": false,
          "headline": "Keep the source context intact when converting a lone system message",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:50:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "046815402afeb8bde74187e950da214590e11239",
          "body": "Add opt-in force_locale setting to Azure TTS services",
          "is_bot": false,
          "headline": "Merge pull request #5154 from brunomartinez-lmi/azure-tts-force-locale",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:35:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "afd5f657890004877bfa5d3064446b797da672b5",
          "body": "…eatures\n\nfeat(smallest): add endpointing, keyword boosting, and punctuation formatting to STT",
          "is_bot": false,
          "headline": "Merge pull request #5137 from harshitajain165/harshita/smallest-stt-f…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:34:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "29b5a8f861e162ecd8e04f979c9167064d07a688",
          "body": null,
          "is_bot": false,
          "headline": "Note that forcing an unsupported locale yields no audio",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:29:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "49d6336b766ab9c35ec424e47c00a3b667641a06",
          "body": "An empty `keywords` value registers a single empty keyword on the Pulse\nWebSocket, so the parameter is sent only when keywords are configured.",
          "is_bot": false,
          "headline": "fix(smallest): omit empty keywords query param",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:28:16Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b625ce5a3bcc0c3732af0739a0d7717994c5c6e",
          "body": "…rose",
          "is_bot": false,
          "headline": "Sort force_locale alphabetically and drop change-narrative from its p…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:26:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d64ff7cbb40f5c6548f3dd75102cdf57a3be61f4",
          "body": "Keyterm boosting support for Cartesia STT services",
          "is_bot": false,
          "headline": "Merge pull request #5168 from dkigel-asapp/dk/cartesia_stt_keyterms",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:26:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1b0f945e413183e1f94e6d88808df46f77c9041c",
          "body": null,
          "is_bot": false,
          "headline": "State the keyterm truncation constraint without the rejected alternative",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:17:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "82a076c18ae26faec54b037aa89ab9045bcd2209",
          "body": "ink-2 is Cartesia's current streaming STT model and the only one that\nhonors keyterms. It is English-only, so ink-whisper remains the service\ndefault.",
          "is_bot": false,
          "headline": "Use ink-2 in the Cartesia voice example",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:14:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "74afaf403b2ac177c299f772686ce21cda466bd6",
          "body": "This is the version that supports keyterms and returns structured JSON\nerrors, and the one CartesiaTTSService and CartesiaTurnsSTTService\nalready use.",
          "is_bot": false,
          "headline": "Connect Cartesia STT with API version 2026-03-01",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:06:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c51a1f51b7ef26e5b0e83436bcbfd7064c3a3622",
          "body": "Cartesia expects spaces inside a keyterm as %20, so build the connection\nURL with quote_via=quote rather than the default quote_plus. Clamp the\nlist to the 100 keyterms / 1200 characters a connection accepts, and send\nkeyterms only for ink-2 models, the only family that honors them.\n\nKeyterms are bound to a connection, so a keyterm update on\nCartesiaTurnsSTTService now reconnects instead of being reported as\nunhandled.",
          "is_bot": false,
          "headline": "Enforce Cartesia's keyterm encoding, limits, and model support",
          "author_name": "Mark Backman",
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          "body": "Declared-language steering is prompt-based, so only the U3 Pro family\naccepts it. The setting is no longer sent as a connect-time query\nparameter for other models, including universal-streaming-multilingual,\nwhich transcribes multilingual audio without steering.\n\nThe singular language_code remains a supported name for the same server\nparameter; language_codes is the one to prefer.",
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          "body": "Sarvam has retired every chat model except sarvam-105b. Requests naming\nsarvam-30b or the fixed-context sarvam-30b-16k / sarvam-105b-32k variants\ncome back as a 400 pointing at sarvam-105b as the replacement.\n\nDefault to sarvam-105b and drop the retired ids from the supported set, so\npicking an unusable model fails at construction rather than on the first\ninference.",
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          "body": "The turn boundaries and a VAD start clear the same end-of-turn progress:\nthe transcript and wait flags, plus the pending timers.",
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          "body": "SpeechTimeoutUserTurnStopStrategy only asks whether this turn saw a VAD\nstop; the timestamp it stored was never read.",
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          "body": "TurnAnalyzerUserTurnStopStrategy only asks whether this turn saw a VAD\nstop; the timestamp it stored was never read.",
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          "headline": "refactor(turns): make the VAD stop marker a boolean",
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          "body": "Both turn boundaries and a VAD start clear it, and both already route\nthrough _discard_pending_end_of_turn.",
          "is_bot": false,
          "headline": "refactor(turns): fold _vad_stopped_time clearing into the shared helper",
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          "body": "TurnAnalyzerUserTurnStopStrategy cleared _vad_user_speaking in its\nper-turn reset, which the controller runs at both turn boundaries. VAD\nreports that flag only on transitions, so a turn started from a\ntranscript rather than from a VAD frame — MinWordsUserTurnStartStrategy,\nor TranscriptionUserTurnS\n[…]\n _discard_pending_end_of_turn.\n\nAdds integration tests over real pipeline processors covering both\nturn-start paths, a transcript-only turn after VAD has reported normally,\nand the no-VAD-signal case.",
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          "headline": "Merge pull request #5155 from pipecat-ai/mb/fix-service-switcher-serv…",
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                "key": "pr_acceptance",
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                "key": "dependency_update_tool",
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pipecat-ai@1.7.0 runtime dependency closure — what installing the published package pulls in — 52 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:pipecat-ai@1.7.0",
                  "assessed": 52
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 52,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "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": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "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": 52,
              "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": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 8
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "excellent",
        "name": "AI Readiness",
        "value": 80,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.83,
              "agent_instruction_files": [
                "AGENTS.md",
                "CLAUDE.md",
                "src/pipecat/cli/agent_templates/AGENTS.md",
                "src/pipecat/cli/agent_templates/CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 29522
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "83 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 83,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 76,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "docs/api/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "pyrightconfig.json",
                "src/pipecat/cli/templates/client/react-nextjs/tsconfig.json",
                "src/pipecat/cli/templates/client/react-vite/tsconfig.json",
                "src/pipecat/py.typed"
              ],
              "agent_commit_share": 0.02,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/api/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/api/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": "eslint.config.js, eslint.config.mjs",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "eslint.config.js, eslint.config.mjs"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "2 of the last 100 commits agent-authored or agent-credited",
                "points": 4,
                "status": "partial",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 2,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 146524,
              "source_files_sampled": 1199,
              "oversized_source_files": 18
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "18/1199 source files over 60KB",
                "points": 54.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 1199,
                      "oversized": 18
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "excellent",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": [
                "src/pipecat/frames/frames.proto"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "src/pipecat/frames/frames.proto",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/pipecat/frames/frames.proto"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [
        "cli",
        "library"
      ],
      "scores": {
        "cli": 10,
        "library": 6,
        "framework": 2,
        "network-service": 3
      },
      "primary": "cli",
      "evidence": [
        {
          "tier": "declared",
          "label": "cli",
          "source": "pypi.console_scripts",
          "weight": 10
        },
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "structure",
          "label": "network-service",
          "source": "api_schema",
          "weight": 3
        },
        {
          "tier": "description",
          "label": "framework",
          "source": "description:framework",
          "weight": 2
        }
      ],
      "artifacts": [
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          "labels": [
            "cli"
          ],
          "ecosystem": "pypi"
        }
      ],
      "confidence": "high",
      "host_extension": false,
      "runs_as_process": true,
      "consumed_by_code": true
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "First-time contributor figures cover 12 of 28 authors (cap 12)"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-03T07:23:18.148628Z",
  "schema_version": "0.30.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pipecat-ai/pipecat.svg",
  "full_name": "pipecat-ai/pipecat",
  "license_state": "standard",
  "license_spdx": "BSD-2-Clause"
}

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