Registro públicoBueno
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-25 06:59 UTC
MagnivOrg / prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
MagnivOrg/prompt-layer-library tiene un índice de salud de 79 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (90/100) y la más baja, AI Readiness (56/100). Se actualizó por última vez hace 2 días. 2 personas concentran la mayor parte del trabajo reciente.
79
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
79
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
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.
Titularidad
PromptLayerOrganización
79 seguidores25 repositorios públicosdesde dic 2021
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | promptlayer | 1.5.1 | 482.214 | 190 | hace 2 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
87
Actividad de desarrollo
86Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 2 días |
| 22.2/36 | Cadencia de commits — 32/52 semanas con commits |
| 18/18 | Volumen de commits — 103 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 103 |
| human_commit_share | 0,94 |
| days_since_last_push | 2 |
| active_weeks_last_year | 32 |
Disciplina de publicación
88Excelente
Cómo se puntúa
| 16.2/27 | Publica versiones — 24 etiquetas de versión (sin releases de GitHub) |
| 36/36 | Recencia de las versiones — última versión hace 2 días |
| 27/27 | Cadencia de publicación — una versión cada ~11,7 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 24 |
| latest_release_tag | v1.5.1 |
| releases_from_tags | sí |
| days_since_latest_release | 2 |
| mean_days_between_releases | 11,7 |
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?
68
Popularidad y adopción
67Moderado
Cómo se puntúa
| 46.9/60 | Estrellas — 780 estrellas |
| 16.3/25 | Forks — 92 forks |
| 3.9/15 | Observadores — 6 observadores |
Datos de entrada utilizados
| forks | 92 |
| stars | 780 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
50Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Adopción en el ecosistema (descargas)
95Excelente
Cómo se puntúa
| 75.8/80 | Descargas mensuales — 482.214 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | promptlayer |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 482.214 |
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?
76
Resiliencia de mantenedores (factor bus)
61Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 12.7/22.5 | Distribución de commits — el principal contribuyente firma el 44% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 25 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0,437 |
Capacidad de respuesta a issues y PR
86Excelente
Cómo se puntúa
| 39.5/46.8 | Resolución de issues — 84% de issues cerradas |
| 31.3/38.3 | Aceptación de PR — 184/225 PR decididos fusionados |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Datos de entrada utilizados
| merged_prs | 184 |
| open_issues | 15 |
| closed_issues | 81 |
| issue_closed_ratio | 0,844 |
| closed_unmerged_prs | 41 |
Propiedad y custodia
63Moderado
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 13.7/25 | Alcance del propietario — 79 seguidores de MagnivOrg |
| 19.5/25 | Trayectoria — 25 repos públicos, cuenta de ~4 años |
Datos de entrada utilizados
| followers | 79 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MagnivOrg |
| public_repos | 25 |
| account_age_days | 1676 |
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 2 días |
| 20/20 | Historial de versiones — 190 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | promptlayer |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
90
Prácticas de ingeniería
100Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 3 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | sí |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
75Bueno
Cómo se puntúa
| 30/30 | README |
| 0/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://www.promptlayer.com |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 6 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | gpt, machine-learning, openai, prompt, prompt-engineering, python |
| has_wiki | sí |
| homepage | https://www.promptlayer.com |
| has_readme | sí |
| has_docs_dir | no |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
69
Postura de seguridad
61Moderado
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 77 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,1 |
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 37 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
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:promptlayer@1.5.1 —lo que arrastra la instalación del paquete publicado—: 37 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? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
56
Contexto y guía para agentes
36En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 36.3/40 | Historial de commits legible — 64 de 94 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,681 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 10/10 | Entorno reproducible — devcontainer, lockfile |
| 10/10 | Práctica demostrada con agentes — 12 de los últimos 100 commits con autoría o crédito de agente |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | poetry.lock, uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | sí |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0,12 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
54Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 54/55 | Tamaños de archivo manejables — 2/114 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 98.660 |
| source_files_sampled | 114 |
| oversized_source_files | 2 |
Datos clave
780estrellas de GitHub
25contribuidores
103commits en los últimos 12 meses
2días desde el último push
24versiones publicadas
2factor bus
15issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Más detalle
Historial de estrellas y forks 0 ★ / 92 ⇿
0Estrellas
92Forks
21Versiones
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.
Mayor 0Menor 4Parche 17
Cada punto abarca 4 días.
OpenSSF Scorecard 6.1 / 10
6.1agregado
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 77 existing vulnerabilities detected |
Dependencias directas 15
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | requests | ^2.31.0 | pyproject.toml |
| PyPI | opentelemetry-api | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-sdk | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | ^1.26.0 | pyproject.toml |
| PyPI | aiohttp | ^3.10.10 | pyproject.toml |
| PyPI | httpx | ^0.28.1 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | centrifuge-python | ^0.4.1 | pyproject.toml |
| PyPI | tenacity | ^9.1.2 | pyproject.toml |
| PyPI | cachetools | ^5.0.0 | pyproject.toml |
| PyPI | openai-agents | ^0.3.3 | pyproject.toml |
| PyPI | claude-agent-sdk | >=0.1.45,<1.0.0 | pyproject.toml |
| PyPI | eval-type-backport | ^0.3.1 | pyproject.toml |
| PyPI | jinja2 | ^3.1.6 | pyproject.toml |
| PyPI | rich | >=13.0.0 | pyproject.toml |
Todas las dependencias 108
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 14 paquetes directos y 94 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | aiohttp | 3.10.10 | directa |
| PyPI | cachetools | 5.5.2 | directa |
| PyPI | centrifuge-python | 0.4.1 | directa |
| PyPI | claude-agent-sdk | 0.1.49 | directa |
| PyPI | eval-type-backport | 0.3.1 | directa |
| PyPI | httpx | 0.28.1 | directa |
| PyPI | jinja2 | 3.1.6 | directa |
| PyPI | nest-asyncio | 1.6.0 | directa |
| PyPI | openai-agents | 0.3.3 | directa |
| PyPI | opentelemetry-api | 1.26.0 | directa |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.26.0 | directa |
| PyPI | opentelemetry-sdk | 1.26.0 | directa |
| PyPI | requests | 2.31.0 | directa |
| PyPI | tenacity | 9.1.2 | directa |
| PyPI | ably | 2.1.1 | indirecta |
| PyPI | aioboto3 | 13.4.0 | indirecta |
| PyPI | aiobotocore | 2.18.0 | indirecta |
| PyPI | aiofiles | 24.1.0 | indirecta |
| PyPI | aiohappyeyeballs | 2.4.3 | indirecta |
| PyPI | aioitertools | 0.12.0 | indirecta |
| PyPI | aiosignal | 1.3.1 | indirecta |
| PyPI | annotated-types | 0.7.0 | indirecta |
| PyPI | anthropic | 0.84.0 | indirecta |
| PyPI | anyio | 4.8.0 | indirecta |
| PyPI | async-timeout | 4.0.3 | indirecta |
| PyPI | attrs | 23.2.0 | indirecta |
| PyPI | boto3 | 1.36.1 | indirecta |
| PyPI | botocore | 1.36.1 | indirecta |
| PyPI | certifi | 2024.2.2 | indirecta |
| PyPI | cffi | 2.0.0 | indirecta |
| PyPI | charset-normalizer | 3.3.2 | indirecta |
| PyPI | click | 8.3.1 | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | cryptography | 46.0.5 | indirecta |
| PyPI | deprecated | 1.2.14 | indirecta |
| PyPI | distro | 1.9.0 | indirecta |
| PyPI | docstring-parser | 0.17.0 | indirecta |
| PyPI | exceptiongroup | 1.2.1 | indirecta |
| PyPI | frozenlist | 1.4.1 | indirecta |
| PyPI | google-auth | 2.38.0 | indirecta |
| PyPI | google-genai | 1.46.0 | indirecta |
| PyPI | googleapis-common-protos | 1.73.0 | indirecta |
| PyPI | griffe | 1.14.0 | indirecta |
| PyPI | h11 | 0.14.0 | indirecta |
| PyPI | h2 | 4.1.0 | indirecta |
| PyPI | hpack | 4.0.0 | indirecta |
| PyPI | httpcore | 1.0.5 | indirecta |
| PyPI | httpx-sse | 0.4.3 | indirecta |
| PyPI | hyperframe | 6.0.1 | indirecta |
| PyPI | idna | 3.7 | indirecta |
| PyPI | importlib-metadata | 8.0.0 | indirecta |
| PyPI | iniconfig | 2.0.0 | indirecta |
| PyPI | jiter | 0.8.2 | indirecta |
| PyPI | jmespath | 1.0.1 | indirecta |
| PyPI | jsonschema | 4.26.0 | indirecta |
| PyPI | jsonschema-specifications | 2025.9.1 | indirecta |
| PyPI | markupsafe | 3.0.3 | indirecta |
| PyPI | mcp | 1.26.0 | indirecta |
| PyPI | methoddispatch | 3.0.2 | indirecta |
| PyPI | msgpack | 1.1.0 | indirecta |
| PyPI | multidict | 6.0.5 | indirecta |
| PyPI | openai | 1.109.1 | indirecta |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.26.0 | indirecta |
| PyPI | opentelemetry-processor-baggage | 0.61b0 | indirecta |
| PyPI | opentelemetry-proto | 1.26.0 | indirecta |
| PyPI | opentelemetry-semantic-conventions | 0.47b0 | indirecta |
| PyPI | packaging | 24.0 | indirecta |
| PyPI | pluggy | 1.5.0 | indirecta |
| PyPI | propcache | 0.2.0 | indirecta |
| PyPI | protobuf | 4.25.8 | indirecta |
| PyPI | pyasn1 | 0.6.1 | indirecta |
| PyPI | pyasn1-modules | 0.4.1 | indirecta |
| PyPI | pycparser | 3.0 | indirecta |
| PyPI | pydantic | 2.11.7 | indirecta |
| PyPI | pydantic-core | 2.33.2 | indirecta |
| PyPI | pydantic-settings | 2.10.1 | indirecta |
| PyPI | pyee | 11.1.1 | indirecta |
| PyPI | pyjwt | 2.12.1 | indirecta |
| PyPI | pytest | 8.2.0 | indirecta |
| PyPI | pytest-asyncio | 0.23.6 | indirecta |
| PyPI | pytest-network | 0.0.1 | indirecta |
| PyPI | pytest-parametrize-cases | 0.1.2 | indirecta |
| PyPI | python-dateutil | 2.9.0.post0 | indirecta |
| PyPI | python-dotenv | 1.1.1 | indirecta |
| PyPI | python-multipart | 0.0.22 | indirecta |
| PyPI | pywin32 | 311 | indirecta |
| PyPI | pyyaml | 6.0.2 | indirecta |
| PyPI | referencing | 0.37.0 | indirecta |
| PyPI | rpds-py | 0.30.0 | indirecta |
| PyPI | rsa | 4.9 | indirecta |
| PyPI | s3transfer | 0.11.3 | indirecta |
| PyPI | six | 1.16.0 | indirecta |
| PyPI | sniffio | 1.3.1 | indirecta |
| PyPI | sse-starlette | 3.3.2 | indirecta |
| PyPI | starlette | 0.52.1 | indirecta |
| PyPI | tomli | 2.0.1 | indirecta |
| PyPI | tqdm | 4.66.4 | indirecta |
| PyPI | types-requests | 2.31.0.6 | indirecta |
| PyPI | types-urllib3 | 1.26.25.14 | indirecta |
| PyPI | typing-extensions | 4.14.0 | indirecta |
| PyPI | typing-inspection | 0.4.1 | indirecta |
| PyPI | urllib3 | 1.26.20 | indirecta |
| PyPI | uvicorn | 0.42.0 | indirecta |
| PyPI | vcrpy | 6.0.2 | indirecta |
| PyPI | websockets | 15.0.1 | indirecta |
| PyPI | wrapt | 1.16.0 | indirecta |
| PyPI | yarl | 1.15.2 | indirecta |
| PyPI | zipp | 3.19.2 | indirecta |
Avisos de dependencias 0
Instalar pypi:promptlayer@1.5.1 arrastra 37 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
{
"data": {
"repo": {
"topics": [
"gpt",
"machine-learning",
"openai",
"prompt",
"prompt-engineering",
"python"
],
"is_fork": false,
"size_kb": 1261,
"has_wiki": true,
"homepage": "https://www.promptlayer.com",
"languages": {
"Python": 1047442,
"Makefile": 437
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"committed_at": "2026-04-17T15:19:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2b80d61830d4cd3efa33d5344c98d5e6aae1c83a",
"body": null,
"is_bot": false,
"headline": "Cache invalidate (#312)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-13T14:28:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "12d9ccbbaf26132b0ed4c453769101b5fd193c28",
"body": null,
"is_bot": false,
"headline": "Add Skill Collections functionality to SDK (#311)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-08T15:57:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b796cad4fa6e02881f922ec0bb6cc24e83df694b",
"body": "## Summary\n- Introduced a new `PromptTemplateCache` class for thread-safe in-memory\ncaching of prompt templates with TTL support.\n- Updated `TemplateManager` and `AsyncTemplateManager` to utilize the\ncaching mechanism, improving performance by reducing API calls.\n- Added a `cache_ttl_seconds` parame\n[…]\n[ ] Verified caching behavior with various prompt requests.\n- [ ] Ensured backward compatibility with existing functionality.\n- [ ] Ran unit tests to confirm no regressions in template fetching\nlogic.",
"is_bot": false,
"headline": "SDK cache (#310)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-01T15:32:53Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "707f5526e2974d3745220c28fb56f615f20cf876",
"body": "## Summary\n- Vendors latest Claude Code trace plugin which rewrites shell+CLI logic\n(`jq`, `uuidgen`, `curl`) into a pure Python `hooks/py/` package,\nremoving external CLI dependencies that caused DX friction for SDK users\n- Updates `_REQUIRED_VENDOR_FILES` in `config.py`, vendor script, and\ntests to match new plugin structure\n- Bumps SDK version to 1.2.3\n\n## Test plan\n- [x] `make vendor-claude-agents-plugin` succeeds\n- [x] `make lint` passes\n- [x] `test_claude_agents_config.py` — 11/11 pass",
"is_bot": false,
"headline": "Bump claude plugin: replace jq/uuidgen/curl with Python (#307)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-23T21:19:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cbf7647524b1f77d2f0c05007869d9c5c4696566",
"body": "…prompt\n\nfix: remove duplicate api_key arg in sync prompt() call",
"is_bot": false,
"headline": "Merge pull request #308 from MagnivOrg/fix/duplicate-api-key-in-sync-…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-23T21:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8baa42400916309668ac1f1120bf193223129ccd",
"body": "The sync prompt() function in track/track.py was passing api_key twice\nto promptlayer_track_prompt(), causing version and label to shift into\nwrong positions. The async aprompt() was already correct.\n\nBumps version to 1.2.3.",
"is_bot": false,
"headline": "fix: remove duplicate api_key arg in sync prompt() call",
"author_name": "NoamBenS",
"author_login": "NoamBenS",
"committed_at": "2026-03-23T21:02:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "abcb9939059afad570d4978c9b0046ef42449857",
"body": null,
"is_bot": false,
"headline": "Bump version to 1.2.2 (#306)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:37:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d32a08f9cf4e65c9bf926ba398f6090ff6cacfab",
"body": "## Summary\n- Vendor latest `promptlayer-claude-plugins`\n(MagnivOrg/promptlayer-claude-plugins#6)\n- Renames `$end` → `$end_time` jq variable in `build_span_json` — `$end`\nis reserved in jq 1.6 (Debian bookworm), causing spans to silently fail\n- Bump version to 1.2.1 (`pyproject.toml` + `__init__.py`)\n[…]\nenerated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix jq 1.6 compat in vendored Claude plugin, bump to 1.2.1 (#305)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:29:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "9ecb445bf89d938e5bf410fb3103cb3240c3f9f6",
"body": "Fix async stream crash: move stream check before model_dump",
"is_bot": false,
"headline": "Merge pull request #304 from MagnivOrg/fix/async-stream-model-dump",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:58:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71409ad0185d3b7f117fd4bb4e763d3bbf1dd1af",
"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump __version__ in __init__.py to 1.2.1",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:48Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "4748c1f52ea92f47eee06d74499c4f1715803c50",
"body": "In AsyncPromptLayer._run_internal, response.model_dump() was called\nbefore checking if stream=True. When streaming, the LLM returns an\nAsyncStream object which may not have model_dump, causing:\n AttributeError: 'AsyncStream' object has no attribute 'model_dump'\n\nThe sync version already had the cor\n[…]\n match: check stream first, return early with the raw\nstream, and only serialize for non-stream responses.\n\nBump version to 1.2.1.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix async stream crash: move stream check before model_dump (#304)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:06Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "3648d01ba5651cebec7d7208612cc854fcc84ede",
"body": "## Summary\n- add a new `promptlayer.integrations.claude_agents` integration with\n`get_claude_config()` and typed config objects\n- vendor the PromptLayer Claude plugin into the package and add a\nmaintainer vendoring script plus Make target\n- add packaging/test coverage for the optional `claude-agents\n[…]\n of `get_claude_config()`\n- Verified E2E locally\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Claude Agents integration (#303)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T13:08:08Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c5dccaeb6ef4cebad02866a5f095bff109860016",
"body": "## Summary\n\nAdd OpenAI Agents tracing support by translating Agents traces into OTLP\nspans for PromptLayer ingestion.\n\n## What changed\n\n- add `promptlayer.integrations.openai_agents`\n- implement an OpenAI Agents `TracingProcessor` that:\n - creates a synthetic root span per Agents trace\n - maps Age\n[…]\nbulk` tracing path unchanged\n- bump the package version to `1.1.1`\n- Updated `ruff` and `readme` to support `3.9+`\n\n## Validation\n\n- `ruff format .`\n- `ruff check .`\n- `pytest -q`\n\nResult: `93 passed`",
"is_bot": false,
"headline": "Add OpenAI Agents OTLP tracing integration (#302)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-17T16:38:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d3b5f9f9f0bc3156ad81d9dbe9e9d7495dc7b367",
"body": "…blueprint\n\nAdd streaming blueprint support for built-in tools across multiple providers (Google, Anthropic, OpenAI)",
"is_bot": false,
"headline": "Merge pull request #301 from MagnivOrg/usama/builtin-tools-streaming-…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T21:44:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6fb380481608117a114f273f3fa6e7cc2a23fc64",
"body": null,
"is_bot": false,
"headline": "fix: Bumped SDK version and resolved feedback",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T20:53:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ae8a4d8623ebed32637d7f014e07b0a1b5cde4f",
"body": null,
"is_bot": false,
"headline": "fix: Resolve PR feedback and comments",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T19:28:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "93330c994cd23fd670a0e0e662212c7f13ddb6dc",
"body": null,
"is_bot": false,
"headline": "fix: Fix pre-commit formatting issues",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:11:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0ac62fe64039e096d7d774c03d4040c029f623e1",
"body": null,
"is_bot": false,
"headline": "fix: Linter formatting fix",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:03:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d35cec528832dd5a443be253061eebfbb42c2c14",
"body": "…ple providers (Google, Anthropic, OpenAI)\n\n - Map OpenAI Responses API tools: shell, apply-patch, MCP, image generation, code interpreter, web search\n - Map Anthropic tools: web search with citations, bash, text editor\n - Map Google tools: code execution, image output, URL context, file search, Maps search\n - Add OpenAI Images API streaming support\n - Add type definitions for all new content types\n - Provider metadata only includes fields actually present in the raw response",
"is_bot": false,
"headline": "feat: Add streaming blueprint support for built-in tools across multi…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T16:56:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aef13166e40bbca5d475363f5dae0450634b2e89",
"body": "## Summary\n- When fetching a prompt template (via `TemplateManager.get()` or\n`AsyncTemplateManager.get()`), automatically set `promptlayer.prompt.*`\nattributes as baggage on the OpenTelemetry span\n- Attributes include `name`, `id`, `version`, and `label`\n- This enables OTLP-based trace exporters to \n[…]\ntribute\ninjection, no-op on non-recording spans, and missing fields\n\n## Test plan\n- [x] Unit tests for `set_prompt_span_attributes` (4 tests, all passing)\n- [x] Full test suite passes (no regressions)",
"is_bot": false,
"headline": "feat: inject prompt template attributes onto OTEL spans (#300)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-05T15:34:00Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "fb5635bdfbeed4b967419693454a205d0fe077bd",
"body": "## Summary\n\nWhen `.run()` throws on an LLM call, the SDK now catches the exception,\nlogs it to PromptLayer with `status=ERROR`, `error_type`, and\n`error_message`, then re-raises. Also adds these fields to\n`log_request()` for manual callers. Error categorization is duck-typed —\nno provider imports in\n[…]\n Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Log failed LLM calls to PromptLayer before re-raising (#296)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-02-24T15:27:14Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c9ecfe6a5113c7566c75f286951fc5eeb88a21e4",
"body": "- Added tests for workflow timeout\n- Version bump",
"is_bot": false,
"headline": "Added test for workflow-timeout (#293)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2026-02-23T22:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1dd278f2f415ff03072e34a93615ae35df8aa57c",
"body": "I need to be able to add a timeout for my workflow execution. I think\nthat it is a good idea to provide this feature in the library.\n\nThe PR Introduces an optional `timeout` parameter for workflow\nexecution, allowing operations to exit if they exceed the specified time\nlimit. Updated both synchronou\n[…]\nexecution paths to\nhandle timeouts using `asyncio.wait_for`.\nThe API change is backward compatible, if no timeout is specified the\nbehavior is unchanged.\n\nCo-authored-by: Rémi Pradal <rpradal@ekie.co>",
"is_bot": false,
"headline": "feat: Add support for timeout in workflow execution (#286)",
"author_name": "Rémi Pradal",
"author_login": "rpradal",
"committed_at": "2026-02-09T14:08:56Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "3203b5d376dde4506b9da87c2c5374298e16fca4",
"body": "Co-authored-by: d3vv3r <ananalabinfowayne@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>",
"is_bot": false,
"headline": "Claude/slack add tests url encode q zuzo (#291)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-21T15:29:49Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "c58f9911184dbb704343d3820d42d1f915767662",
"body": "Cache LLM clients to prevent connection pool exhaustion",
"is_bot": false,
"headline": "Merge pull request #289 from MagnivOrg/cache-llm-clients",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T16:04:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ab3c25a487788a2eed682034c04feef339efbb64",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Update poetry.lock with cachetools",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:52:09Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "9f4daa34e6fd70d0358439904e579ac3fae7ab4c",
"body": "Switch from unbounded dict to cachetools.LRUCache with maxsize=100\nto prevent memory growth in long-running systems.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use LRUCache for bounded client caching",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:50:29Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "b1b765cbce5f91fa9d5e18986ec86222808c3965",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 1.0.81",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:53:02Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "836dacbc0013d2bdbf69ce30d4c68e1ff88536a6",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:32Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "16a95817c85ca038debfa4ca0e1cb45dd4f8b737",
"body": "This reverts commit 157d4c382bba5ed230e404c0b183b72c5fb5de1a.",
"is_bot": false,
"headline": "Revert \"Cache LLM clients to prevent connection pool exhaustion\"",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "157d4c382bba5ed230e404c0b183b72c5fb5de1a",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:50:28Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "330fb36da743503c94b00324b215fe0bb9ae73a2",
"body": "Use shared requests.Session for connection pooling and retry on conne…",
"is_bot": false,
"headline": "Merge pull request #288 from MagnivOrg/fix/retry-on-connection-errors",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:57:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "690139c11a46fa2c29dd9408f0cb30d35403c86f",
"body": "…on errors, and add SDK headers\n\nChanges:\n1. Added thread-safe module-level requests.Session via _get_requests_session()\n with double-checked locking pattern for safe concurrent initialization\n\n2. Configured HTTPAdapter with configurable pool size (default 100) via env vars:\n - PROMPTLAYER_POOL_\n[…]\nonPool Max retries exceeded\" errors with\n\"NewConnectionError: No route to host\" when making many concurrent requests.\n\nBumps version to 1.0.80.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use shared requests.Session for connection pooling, retry on connecti…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:53:09Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "d524ef74b052d83c9f2001666570618501fe351b",
"body": null,
"is_bot": false,
"headline": "Fixed log request for responses api (#284)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-23T22:27:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "909626288c4ff05de5ea7b1030744d78062e2fc2",
"body": null,
"is_bot": false,
"headline": "Added openai code-interpreter tool (#283)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-01T15:53:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "01a77fd15864d42100b74295b8d31d86e4a56b6b",
"body": null,
"is_bot": false,
"headline": "Fixed escape symbols (#282)",
"author_name": "Pavel Kononov",
"author_login": "super-jaba",
"committed_at": "2025-11-24T23:35:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9b6a1c70dd9f207646bb2cf96b8ca5ff0c9536de",
"body": "Incorrect Latency",
"is_bot": false,
"headline": "Merge pull request #281 from MagnivOrg/fix-latency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:55:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "11b09f58704a1be94e55697df75c192fca923633",
"body": null,
"is_bot": false,
"headline": "fixing tests",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:54:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8579441eabff2d2d1ed0d053b0e29a955b54cd92",
"body": null,
"is_bot": false,
"headline": "tests",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:49:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3c09b7dc6a743b2988312b6fece024825233e646",
"body": null,
"is_bot": false,
"headline": "Incorrect Latency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:36:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ae913ebcf98b39e0c9a90d35c1d3dc85e389a91",
"body": null,
"is_bot": false,
"headline": "Additional fix for api (#279)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2025-11-14T21:03:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "770908d7afdb99f9a904091b292286d5e7684f53",
"body": null,
"is_bot": false,
"headline": "fix api fallback (#278)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2025-11-14T20:48:30Z",
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{
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{
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{
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}
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{
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},
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{
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{
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{
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],
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{
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{
"key": "fuzzing",
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"status": "missed",
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},
{
"key": "license",
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"points": 2.5,
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{
"key": "maintained",
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{
"key": "packaging",
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"max_points": 5
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{
"key": "pinned_dependencies",
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"status": "missed",
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{
"key": "sast",
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{
"key": "security_policy",
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"status": "missed",
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{
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"status": "excluded",
"details": [
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"code": "no_data",
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],
"max_points": 7.5
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{
"key": "token_permissions",
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"status": "missed",
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{
"key": "vulnerabilities",
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"status": "missed",
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]
},
{
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"notes": [
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},
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"inputs": {
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"affected_by_severity": "none",
"direct_affected_packages": 0
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"components": [
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"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
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],
"max_points": 35
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{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
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"details": [
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"code": "no_indirect_advisories",
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],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"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": "excellent",
"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": 37,
"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": "excellent",
"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"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"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": "moderate",
"name": "AI Readiness",
"value": 56,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 36,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.681,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"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": "64 of 94 human commits state their intent (structured subject or explanatory body)",
"points": 36.3,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 64,
"sampled": 94
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 71,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"poetry.lock",
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": true,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0.12,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "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": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "devcontainer, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "devcontainer, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "12 of the last 100 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 12,
"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": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 98660,
"source_files_sampled": 114,
"oversized_source_files": 2
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "2/114 source files over 60KB",
"points": 54,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 114,
"oversized": 2
}
}
],
"max_points": 55
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-25T06:59:07.453479Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MagnivOrg/prompt-layer-library.svg",
"full_name": "MagnivOrg/prompt-layer-library",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.