Registro público
Informe de salud del softwareesquema 0.30.0 · métricas 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 estrellas⑂ 2396 forksdesde dic 2023Ver en GitHub ↗
TipoHerramienta de línea de comandosBibliotecacómo se determina

pipecat-ai/pipecat tiene un índice de salud de 98 sobre 100, lo que lo sitúa en la banda Excepcional. Su puntuación más alta es Vitality (100/100) y la más baja, Security (71/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

98
global / 100
Excepcional

Índice de salud del software

Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.

98
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

Perfil de puntuación

Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.

El resultado global ponderado 86 se calibra a 98 en la escala publicada del índice (calibración del registro 2026-08-02).

Titularidad

PipecatOrganización
673 seguidores58 repositorios públicosdesde may 2024

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIpipecat-ai1.7.01.183.077109hace 1 díawebrtcaudiovideoai

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

100Excepcional · 21% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
36/36Cadencia de commits — 52/52 semanas con commits
18/18Volumen de commits — 6276 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year6276
human_commit_share1
days_since_last_push0
active_weeks_last_year52
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 1 días
27/27Cadencia de publicación — una versión cada ~14,1 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv1.7.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases14,1
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

90Excelente · 17% del índice global
Cómo se puntúa
60/60Estrellas — 13.872 estrellas
25/25Forks — 2396 forks
10.4/15Observadores — 76 observadores
Datos de entrada utilizados
forks2396
stars13.872
watchers76
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-2-Clause)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
readme_badges5
has_contributing
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_template
Cómo se puntúa
80/80Descargas mensuales — 1.183.077 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagespipecat-ai
dependents
ecosystemspypi
total_downloads
monthly_downloads1.183.077
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

77Bueno · 23% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
15.6/22.5Distribución de commits — el principal contribuyente firma el 31% de los commits
13.5/13.5Amplitud de contribuyentes — 99 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled99
top_contributor_share0,307
Cómo se puntúa
39.2/42Resolución de issues — 93% de issues cerradas
24.1/30Aceptación de PR — 3055/3809 PR decididos fusionados
5.6/13Newcomer PR acceptance — 3/7 PR de contribuyentes primerizos fusionados en 30 d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs3055
open_issues84
closed_issues1168
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
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
20.3/25Alcance del propietario — 673 seguidores de pipecat-ai
17.3/25Trayectoria — 58 repos públicos, cuenta de ~2 años
Datos de entrada utilizados
followers673
owner_typeOrganization
is_verified
owner_loginpipecat-ai
public_repos58
account_age_days812
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 1 días
20/20Historial de versiones — 109 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagespipecat-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

92Excelente · 19% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 11 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — eslint.config.js, eslint.config.mjs
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://pipecat.ai
10/10Descripción del repositorio
10/10Topics — 6 topics
0/10Wiki
Datos de entrada utilizados
topicsai, real-time, voice, voice-assistant, chatbot-framework, chatbots
has_wikino
homepagehttps://pipecat.ai
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

71Bueno · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
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
2.5/2.5Licencia — 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 — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,4
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages52
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:pipecat-ai@1.7.0 —lo que arrastra la instalación del paquete publicado—: 52 paquetes. No se analiza la alcanzabilidad.

Preparación para IA

¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.

80Excelente · 4% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 83 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
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
Cómo se puntúa
18/18Arranque con un solo comando — docs/api/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — eslint.config.js, eslint.config.mjs
11/11Verificación estática de tipos — pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed
10/10Entorno reproducible — Dockerfile, lockfile
4/10Práctica demostrada con agentes — 2 de los últimos 100 commits con autoría o crédito de agente
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfilespackage-lock.json, uv.lock
has_dockerfile
typed_languageno
bootstrap_filesdocs/api/Makefile
has_devcontainerno
has_linter_config
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
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed)
54.2/55Tamaños de archivo manejables — 18/1199 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes146.524
source_files_sampled1199
oversized_source_files18
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — src/pipecat/frames/frames.proto
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_filessrc/pipecat/frames/frames.proto

Datos clave

13.872estrellas de GitHub
99contribuidores
6276commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
2factor bus
84issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

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

Más detalle

Historial de estrellas y forks 0 ★ / 2396 ⇿
0Estrellas
2396Forks
25Versiones

Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.

Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.

12001600200024002396182025-112026-032026-08
Mayor 1Menor 7Parche 17
OpenSSF Scorecard 6.4 / 10
6.4agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-08-03 07:22 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-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
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 22
RegistroPaqueteRestricción de versiónManifiesto
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
Todas las dependencias 448

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 23 paquetes directos y 425 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIaiofiles24.1.0directa
PyPIaiohttp3.14.1directa
PyPIaudioop-lts0.2.2directa
PyPIdocstring-parser0.18.0directa
PyPIloguru0.7.3directa
PyPImarkdown3.10.2directa
PyPInltk3.10.0directa
PyPInum2words0.5.14directa
PyPInumba0.65.1directa
PyPInumpy2.4.6directa
PyPIonnxruntime1.24.4directa
PyPIopenai2.38.0directa
PyPIpillow12.3.0directa
PyPIprotobuf6.33.5directa
PyPIpydantic2.11.10directa
PyPIpydantic2.13.4directa
PyPIpyloudnorm0.2.0directa
PyPIpyyaml6.0.3directa
PyPIresampy0.4.3directa
PyPIsoxr1.0.0directa
PyPItyping-extensions4.15.0directa
PyPIwait-for20.4.1directa
PyPIwebsockets15.0.1directa
npm@babel/runtime7.29.7indirecta
npm@daily-co/daily-js0.90.0indirecta
npm@emnapi/core1.10.0indirecta
npm@emnapi/runtime1.10.0indirecta
npm@emnapi/wasi-threads1.2.1indirecta
npm@napi-rs/wasm-runtime1.1.5indirecta
npm@oxc-project/types0.133.0indirecta
npm@pipecat-ai/client-js1.12.0indirecta
npm@pipecat-ai/small-webrtc-transport1.10.5indirecta
npm@rolldown/binding-android-arm641.0.3indirecta
npm@rolldown/binding-darwin-arm641.0.3indirecta
npm@rolldown/binding-darwin-x641.0.3indirecta
npm@rolldown/binding-freebsd-x641.0.3indirecta
npm@rolldown/binding-linux-arm-gnueabihf1.0.3indirecta
npm@rolldown/binding-linux-arm64-gnu1.0.3indirecta
npm@rolldown/binding-linux-arm64-musl1.0.3indirecta
npm@rolldown/binding-linux-ppc64-gnu1.0.3indirecta
npm@rolldown/binding-linux-s390x-gnu1.0.3indirecta
npm@rolldown/binding-linux-x64-gnu1.0.3indirecta
npm@rolldown/binding-linux-x64-musl1.0.3indirecta
npm@rolldown/binding-openharmony-arm641.0.3indirecta
npm@rolldown/binding-wasm32-wasi1.0.3indirecta
npm@rolldown/binding-win32-arm64-msvc1.0.3indirecta
npm@rolldown/binding-win32-x64-msvc1.0.3indirecta
npm@rolldown/pluginutils1.0.1indirecta
npm@sentry-internal/browser-utils8.55.2indirecta
npm@sentry-internal/feedback8.55.2indirecta
npm@sentry-internal/replay8.55.2indirecta
npm@sentry-internal/replay-canvas8.55.2indirecta
npm@sentry/browser8.55.2indirecta
npm@sentry/core8.55.2indirecta
npm@tybys/wasm-util0.10.2indirecta
npm@types/events3.0.3indirecta
npmbowser2.14.1indirecta
npmclone-deep4.0.1indirecta
npmdequal2.0.3indirecta
npmdetect-libc2.1.2indirecta
npmevents3.3.0indirecta
npmfdir6.5.0indirecta
npmfsevents2.3.3indirecta
npmis-plain-object2.0.4indirecta
npmisobject3.0.1indirecta
npmkind-of6.0.3indirecta
npmlightningcss1.32.0indirecta
npmlightningcss-android-arm641.32.0indirecta
npmlightningcss-darwin-arm641.32.0indirecta
npmlightningcss-darwin-x641.32.0indirecta
npmlightningcss-freebsd-x641.32.0indirecta
npmlightningcss-linux-arm-gnueabihf1.32.0indirecta
npmlightningcss-linux-arm64-gnu1.32.0indirecta
npmlightningcss-linux-arm64-musl1.32.0indirecta
npmlightningcss-linux-x64-gnu1.32.0indirecta
npmlightningcss-linux-x64-musl1.32.0indirecta
npmlightningcss-win32-arm64-msvc1.32.0indirecta
npmlightningcss-win32-x64-msvc1.32.0indirecta
npmlodash4.18.1indirecta
npmnanoid3.3.16indirecta
npmpicocolors1.1.1indirecta
npmpicomatch4.0.4indirecta
npmpostcss8.5.24indirecta
npmrolldown1.0.3indirecta
npmrxjs7.8.2indirecta
npmshallow-clone3.0.1indirecta
npmsource-map-js1.2.1indirecta
npmtinyglobby0.2.17indirecta
npmtslib2.8.1indirecta
npmtyped-emitter2.1.0indirecta
npmuuid11.1.1indirecta
npmvite8.0.16indirecta
PyPIaccelerate1.10.1indirecta
PyPIaic-sdk2.5.0indirecta
PyPIaiobotocore3.7.0indirecta
PyPIaiohappyeyeballs2.6.2indirecta
PyPIaioice0.10.2indirecta
PyPIaioitertools0.13.0indirecta
PyPIaiortc1.14.0indirecta
PyPIaiosignal1.4.0indirecta
PyPIalabaster1.0.0indirecta
PyPIaliyun-python-sdk-core2.11.5indirecta
PyPIaliyun-python-sdk-core-v32.11.5indirecta
PyPIaliyun-python-sdk-kms2.16.5indirecta
PyPIannotated-doc0.0.4indirecta
PyPIannotated-types0.7.0indirecta
PyPIanthropic0.104.1indirecta
PyPIantlr4-python3-runtime4.9.3indirecta
PyPIanyio4.13.0indirecta
PyPIasync-timeout5.0.1indirecta
PyPIasyncpg0.31.0indirecta
PyPIattrs26.1.0indirecta
PyPIaudiolab0.5.1indirecta
PyPIaudioread3.1.0indirecta
PyPIav16.1.0indirecta
PyPIaws-sdk-bedrock-runtime0.4.0indirecta
PyPIaws-sdk-sagemaker-runtime-http20.4.0indirecta
PyPIaws-sdk-signers0.1.0indirecta
PyPIawscrt0.28.4indirecta
PyPIazure-cognitiveservices-speech1.50.0indirecta
PyPIazure-core1.41.0indirecta
PyPIbabel2.18.0indirecta
PyPIbackoff2.2.1indirecta
PyPIbeartype0.22.9indirecta
PyPIboto31.43.0indirecta
PyPIbotocore1.43.0indirecta
PyPIbuild1.4.4indirecta
PyPIcamb-sdk1.5.13indirecta
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Avisos de dependencias 0

Instalar pypi:pipecat-ai@1.7.0 arrastra 52 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
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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",
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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",
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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",
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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",
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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",
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          "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",
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          "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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          "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",
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          "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",
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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",
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          "headline": "changelog: add fragment for eval speech/transcription language support",
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          "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,
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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",
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          "headline": "Update changelog for version 1.7.0",
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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…",
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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.",
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          "body": "…text\n\nPreserve Anthropic thinking blocks that carry no thought text",
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          "headline": "Merge pull request #5183 from pipecat-ai/mb/anthropic-empty-thinking-…",
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          "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",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T01:47:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3c23f021244a2c1bf320a128043de7634bfda5a9",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry for PR #5168",
          "author_name": "David Kigel",
          "author_login": "dkigel-asapp",
          "committed_at": "2026-08-01T01:35:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3a883da5a77ab979b5170e9c705b00144b3fc4c5",
          "body": null,
          "is_bot": false,
          "headline": "Cartesia STT keyterm support",
          "author_name": "David Kigel",
          "author_login": "dkigel-asapp",
          "committed_at": "2026-08-01T01:35:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2099bcce31d460db25e948ab8fb4c441b0de5724",
          "body": "…altime-default\n\nfeat(transports): default Tavus audio output to faster than realtime",
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          "headline": "Merge pull request #5162 from bpanahij/tavus-audio-out-faster-than-re…",
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          "is_bot": false,
          "headline": "Merge pull request #5181 from pipecat-ai/pk/precommit-remove-unused-i…",
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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.",
          "is_bot": false,
          "headline": "Gate AssemblyAI language_codes on U3 Pro models",
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          "body": "AssemblyAI rejects a declared-language list longer than 10 codes, and a\nrejected UpdateConfiguration closes the session rather than being ignored.\nA list that reached the stored settings would fail every later reconnect\ntoo, since the connect-time URL is rebuilt from them.\n\nCheck the delta before it is applied and drop the field with a warning, so\nan over-long runtime update leaves the current steering in place. The cap\nnow lives in _prepare_language_codes, covering every caller.",
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          "body": "AssemblyAI's streaming models support 18 languages, and Urdu is not among\nthem.",
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          "body": "Declared languages are `Language` enums rather than raw ISO strings,\nmatching how every other STT service that accepts a language list is\nconfigured. `language_to_assemblyai_language()` resolves them to the base\ncodes AssemblyAI declares, collapsing regional variants while preserving\ndeclaration ord\n[…]\ns checked after resolution, since that is the list\nthe server sees. `\"multi\"` has no `Language` equivalent, so fully\nmultilingual transcription goes through\n`model=\"universal-streaming-multilingual\"`.",
          "is_bot": false,
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          "headline": "Add changelog fragment for PR #5178",
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          "body": "Keep live VAD state across user turn boundaries",
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          "headline": "Merge pull request #5159 from pipecat-ai/mb/turn-analyzer-vad-state",
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          "headline": "Renumber changelog fragment to PR #5177",
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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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          "author_name": "Paul Kompfner",
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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.",
          "is_bot": false,
          "headline": "refactor(turns): extract _discard_pending_end_of_turn in SpeechTimeout",
          "author_name": "Mark Backman",
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          "body": "SpeechTimeoutUserTurnStopStrategy only asks whether this turn saw a VAD\nstop; the timestamp it stored was never read.",
          "is_bot": false,
          "headline": "refactor(turns): make the VAD stop marker a boolean in SpeechTimeout",
          "author_name": "Mark Backman",
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          "oid": "bd7541c247fd25f990a9e77a037cca4d0d9ef236",
          "body": "TurnAnalyzerUserTurnStopStrategy only asks whether this turn saw a VAD\nstop; the timestamp it stored was never read.",
          "is_bot": false,
          "headline": "refactor(turns): make the VAD stop marker a boolean",
          "author_name": "Mark Backman",
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        {
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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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          "is_bot": false,
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          "body": "…ice-update-settings-frame\n\nDeliver settings updates to inactive services behind a ServiceSwitcher",
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          "headline": "Merge pull request #5155 from pipecat-ai/mb/fix-service-switcher-serv…",
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          "body": "The field on ServiceUpdateSettingsFrame names where the update reaches\nrather than what it affects, matching how ServiceSwitcher routes it.",
          "is_bot": false,
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                "detail": "a release every ~14.1 days",
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                "key": "openssf_scorecard_signed_releases",
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              "cap": null,
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          },
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            "note": null,
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                  {
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      {
        "key": "governance",
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                "key": "openssf_scorecard_contributors",
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              "prs_merged_7d": 38,
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            "components": [
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                "key": "issue_resolution",
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                "key": "pr_acceptance",
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                "key": "owner_reach",
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                "key": "not_deprecated",
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        ],
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          },
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            "value": 64,
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                "key": "contributors",
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              {
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              },
              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              },
              {
                "key": "license",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
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                "max_points": 7.5
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
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                "details": [],
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              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
                "details": [],
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              },
              {
                "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": [
        {
          "path": "pyproject.toml",
          "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"
}

Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.3.1, esquema v0.30.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.