Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-26 19:04 UTC

antonyrag / ragleap-core

The open-source core of RagLeap — a self-hosted RAG chat engine (document ingestion, retrieval, citations) powering RagLeap's full AI business manager: Voice AI, WhatsApp/Telegram/Discord bots, database & CRM integrations, workflow automation, and a private executive assistant. Foundation layer — hosted platform at ragleap.com

PythonMIT★ 2 estrellas⑂ 1 forkdesde jul 2026Ver en GitHub ↗

antonyrag/ragleap-core tiene un índice de salud de 43 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Engineering Quality (71/100) y la más baja, Security (27/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

43
global / 100
En riesgo

Índice 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.

43
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)
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.

Titularidad

TC AntonyCuenta personal
0 seguidores1 repositorio públicodesde mar 2026

Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIragleap-rag0.6.0208522hace 0 díashybrid-searchllmpgvectorragretrieval-augmented-generationvector-search

Métricas por categoría

Vitalidad

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

34En riesgo · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
2.8/36Cadencia de commits — 4/52 semanas con commits
17.3/18Volumen de commits — 84 commits en el último año
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Datos de entrada utilizados
commits_last_year84
human_commit_share1
days_since_last_push0
active_weeks_last_year4
Cómo se puntúa
0/27Publica versiones — sin versiones publicadas
0/36Recencia de las versiones — sin versiones
0/27Cadencia de publicación — sin versiones
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count0
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?

46En riesgo · 18% del índice global
Cómo se puntúa
0/60Estrellas — 2 estrellas
0/25Forks — 1 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks1
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
has_pull_request_template
Cómo se puntúa
44.3/80Descargas mensuales — 2085 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesragleap-rag
dependents
ecosystemspypi
total_downloads
monthly_downloads2085
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?

36En riesgo · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
0/22.5Distribución de commits — el principal contribuyente firma el 100% de los commits
1.4/13.5Amplitud de contribuyentes — 1 contribuyentes
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Datos de entrada utilizados
bus_factor1
contributors_sampled1
top_contributor_share1
Cómo se puntúa
0/46.8Resolución de issues — 0% de issues cerradas
36.7/38.3Aceptación de PR — 48/50 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs48
open_issues11
closed_issues0
issue_closed_ratio0
closed_unmerged_prs2
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
0/25Alcance del propietario — 0 seguidores de antonyrag
3/25Trayectoria — 1 repos públicos, cuenta de ~0 años
Datos de entrada utilizados
followers0
owner_typeUser
is_verified
owner_loginantonyrag
public_repos1
account_age_days139
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 0 días
20/20Historial de versiones — 22 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesragleap-rag
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

71Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 1 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno
Cómo se puntúa
30/30README
0/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://ragleap.com
10/10Descripción del repositorio
10/10Topics — 18 topics
10/10Wiki
Datos de entrada utilizados
topicsai-agents, business-automation, database-integration, document-qa, document-qa-agent, executive-assistant, executive-assistant-agent, intelligent-automation, intelligent-automation-platform, llm, multi-tenant, multi-tenant-saas, open-core, saas, self-hosted, voice-ai, workflow-automation, rag-ai-chatbot
has_wiki
homepagehttps://ragleap.com
has_readme
has_docs_dirno
has_description

Seguridad

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

27Crítico · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — sin datos
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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 56 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2,7
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. Los pesos restantes se han renormalizado.

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.

39En riesgo · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 85 de 85 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 85
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
lockfilesuv.lock
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/70 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes30.306
source_files_sampled70
oversized_source_files0
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_files

Datos clave

2estrellas de GitHub
1contribuidores
84commits en los últimos 12 meses
0días desde el último push
0versiones publicadas
1factor bus
11issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:ragleap-rag@0.6.0; advisories assessed against the repository dependency graph instead

Más detalle

OpenSSF Scorecard 2.7 / 10
2.7agregado

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 · 2026-07-26 19:04 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
n/dPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities56 existing vulnerabilities detected
Dependencias directas 4
RegistroPaqueteRestricción de versiónManifiesto
PyPIpsycopg2-binary>=2.9.0packages/ragleap-rag/pyproject.toml
PyPIrequests>=2.31.0packages/ragleap-rag/pyproject.toml
PyPIpypdf>=4.0.0packages/ragleap-rag/pyproject.toml
PyPIpython-docx>=1.1.0packages/ragleap-rag/pyproject.toml
Todas las dependencias no recopilado

No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Informe JSON sin procesar legible por máquina
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        {
          "oid": "3a00e4bdd26232a38783aa210683b97e13e475ed",
          "body": "Decouples vector storage from conversation memory - RagLeap now\naccepts vector_backend= to swap storage away from the default\nPgVectorBackend. Conversation memory always uses Postgres regardless\nof vector backend choice, since memory is a separate concern from\nvector storage.\n\nNew: ragleap.vectorsto\n[…]\ns actually run there, not just locally.\n\nFull suite: 83/83 passing (73 existing + 10 new) before this commit.\nVersion bumped 0.5.8 -> 0.6.0 (new public API surface warrants a\nminor bump, not a patch).",
          "is_bot": false,
          "headline": "feat: pluggable vector storage backends (0.6.0) (#62)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-26T18:56:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "23f58e3bbbf62a3091e5cf0803ad6eaf73b48347",
          "body": "…ormers (0.5.8) (#61)\n\nReplaces sentence-transformers (which pulls in a 2GB+ torch+CUDA\ninstall even for CPU-only inference) with ONNX Runtime + tokenizers +\nhuggingface_hub. A quantized cross-encoder (Xenova/ms-marco-MiniLM-L-6-v2,\n~23MB int8) downloads once on first rerank=True call and is cached\n\n[…]\nallers who passed a custom model explicitly - default behavior\nunaffected.\n\npyproject.toml's [rerank] and [all] extras updated accordingly.\nVersion bumped 0.5.7 -> 0.5.8. README and CHANGELOG updated.",
          "is_bot": false,
          "headline": "feat: reranking runs on ONNX Runtime instead of torch/sentence-transf…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T11:05:56Z",
          "body_truncated": true,
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        },
        {
          "oid": "02be0824dd8682aa297d021bb830a5f205d0fdf5",
          "body": "….7) (#60)\n\nask_stream() and aask_stream() were missing the rerank= and\nmetadata_filter= params that ask()/aask() already had - a real,\npreviously-flagged API inconsistency (Part 5 pending list item).\n\nBoth streaming variants now expand the retrieval pool (top_k*4) and\ncall the reranker when rerank=\n[…]\neranker on both ask_stream() and\naask_stream(), and rerank=False never invoking it. Full suite (71/71)\npassing locally before this commit.\n\nVersion bumped 0.5.6 -> 0.5.7. README and CHANGELOG updated.",
          "is_bot": false,
          "headline": "fix: ask_stream()/aask_stream() missing rerank + metadata_filter (0.5…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T06:30:27Z",
          "body_truncated": true,
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        },
        {
          "oid": "e324599b9b44f57e754d88d329abc536dcffea1a",
          "body": "…(#59)\n\nReconstructed from real PR history (#35-#58), not memory - every\nversion entry links to its actual merged PR. Covers the full history:\ninitial release, the embedder_api_key -> EmbeddingConfig breaking\nchange in 0.2.0, every feature through 0.5.6 (Redis cache + batch\ningestion), and the two u\n[…]\nte) that don't warrant their own version bump.\n\nAlso documents the update_document() metadata-loss limitation inline\nat the version it was introduced (0.4.5), matching the locked-in test\nadded in #58.",
          "is_bot": false,
          "headline": "docs: add CHANGELOG.md for ragleap-rag (0.1.0 -> 0.5.6 + unreleased) …",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
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        {
          "oid": "58ea145480bf5e6cd60778a992ea99f32b62857f",
          "body": "Adds a real automated test suite for the core RAG engine (67 tests,\n11 files) - the first automated testing this package has had; all\nprior verification this project was manual, live-testing per feature.\n\nCoverage: ingestion (chunking, sanitization, injection-risk warning,\nmetadata storage), documen\n[…]\nompile-check and docker-build-and-smoke-test jobs, which test the\nmain platform, not this package). Dry-run verified locally against a\nreal Postgres instance (67/67 passing, 8.95s) before this commit.",
          "is_bot": false,
          "headline": "test: comprehensive pytest suite for ragleap-rag + CI integration (#58)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-25T04:58:21Z",
          "body_truncated": true,
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        },
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          "oid": "3aa87a65c63bf869bd8d9c22759ee88264df2227",
          "body": "Documents the one constraint that actually matters for background task\nusage: RagLeap's connection pool is per-instance and not fork-safe\nacross processes. Covers the correct pattern (build RagLeap inside\nworker_process_init, not at module import time), a full Redis-broker\ncode example, and an archi\n[…]\n+ collapsed whitespace/alignment) on\nfirst attempt - caught via the standard bracket-view verification step,\nfixed by base64-round-tripping the diagram content rather than pasting\nraw ASCII art again.",
          "is_bot": false,
          "headline": "docs: Celery integration guide + example (#57)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-24T19:14:34Z",
          "body_truncated": true,
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        },
        {
          "oid": "48df3586e22146bcceac31c90d482ba22f346c03",
          "body": "…#56)\n\nRedis query embedding cache:\n- New RedisQueryEmbeddingCache class (src/ragleap/cache.py), same\n  get/set/clear/stats interface as the existing in-memory cache\n- RagLeap.__init__() gains cache_backend, redis_url, cache_ttl_seconds\n- Verified across process boundaries: two separate RagLeap inst\n[…]\nmethods now have async\ntwins, closing a gap where only 2 of 6 previously did.\n\nVersion bumped 0.5.5 -> 0.5.6 in both pyproject.toml and __init__.py.\nREADME documents both features in this same commit.",
          "is_bot": false,
          "headline": "feat: Redis-backed distributed query cache + ingest_batch() (0.5.6) (…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-24T18:39:41Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a8c95b69584107bbf0d85fa1b71c2b7e026767e6",
          "body": "Directly answers a question raised this session: should users be\nlocked into just Whisper/Deepgram, or able to bring any provider\nthey judge better (AssemblyAI, Speechmatics, Azure Speech, AWS\nTranscribe, etc.)? Previously the answer was 'wait for ragleap-rag to\nadd it' - now it is not.\n\n- Transcrip\n[…]\n correctly ingested and retrievable via a grounded ask()\nanswer that accurately quoted the custom function's output, and\nvalidation correctly rejected provider='custom' with no transcribe_fn\nsupplied.",
          "is_bot": false,
          "headline": "feat: custom transcription provider support (provider='custom') (#55)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-23T18:38:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "709237024eb1f34cce15b0d3f2f576a74d619ef7",
          "body": "Fifth and final part of the multi-modal ingestion milestone.\n\n- New video.py: extract_audio_from_video() extracts a video is audio\n  track as MP3 via ffmpeg (a system dependency, not pip-installable,\n  same class as Tesseract for OCR). Proper temp file cleanup on all\n  paths including error cases.\n-\n[…]\n video content, not just placeholder\nbytes. Combined with the live Deepgram transcription test above, both\nhalves of ingest_video()'s pipeline are now genuinely proven, not\njust structurally verified.",
          "is_bot": false,
          "headline": "feat: video ingestion (ffmpeg audio extraction + transcription) (#54)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-23T09:06:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "1b2e7c697824a3e9411052ca6b9f029c452c4595",
          "body": "Fourth part of the multi-modal ingestion milestone. Pluggable\ntranscription providers rather than a hardcoded Whisper-only path,\ndirectly addressing a real question raised this session: does\nWhisper handle multi-language/low-volume/noisy audio correctly, or\nshould users be able to bring their own pr\n[…]\nnd\ntranscription against a real provider is untested and should be done\nin a follow-up once a key is available, before this can be considered\nfully proven the way every other feature this session was.",
          "is_bot": false,
          "headline": "feat: audio ingestion (Whisper + Deepgram, pluggable) (#53)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T18:59:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e08158c35e4908010b796119cb4d8eedefeab180",
          "body": "Third part of the multi-modal ingestion milestone. Two genuinely\ndifferent techniques for two different kinds of images - one does\nnot substitute for the other.\n\n- New ocr.py: extract_text_from_image() wraps pytesseract, reads\n  literal visible text (scanned documents, screenshots, photos of\n  text)\n[…]\nle); vision\ncaptioning correctly identified 'red' and 'circle' from an image\ncontaining a colored shape and zero text, proving it's genuinely\ndescribing visual content rather than falling back to OCR.",
          "is_bot": false,
          "headline": "feat: image ingestion (OCR + vision captioning) (#52)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T05:14:18Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "958238e564296073d04afbb95d03f3b3558a1a09",
          "body": "Missed in the previous commit - only pyproject.toml's version was\nstaged, __init__.py's __version__ was left at 0.5.0. Caught via a\nroutine git status check before publishing, not after.",
          "is_bot": false,
          "headline": "fix: bump __version__ to match pyproject.toml (0.5.1) (#51)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T04:40:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bcd10be7d2269508e717716ad759735fe19af886",
          "body": "Second part of the multi-modal ingestion milestone. Previously\ningest()/ingest_text() supported only txt/pdf/docx - a real gap\nagainst LangChain's 100+ document loaders. This adds 25 more format\nhandlers across office documents, spreadsheets, structured data,\nmarkup, archives, and subtitle files.\n\n-\n[…]\nxtraction via a real openpyxl workbook), ZIP (correctly\nrecursed into and extracted both a nested .txt and .json file), and\nSRT (cue numbers and timestamps correctly stripped, spoken lines\npreserved).",
          "is_bot": false,
          "headline": "feat: expanded document format support (28 formats) (#50)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-22T04:31:22Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3f1f732fe8555666be42960bd0d8bc0e263f2c1b",
          "body": "First of the multi-modal ingestion additions - directly closes part\nof the 'document loader breadth' gap flagged against LangChain, which\nhas 100+ loaders vs ragleap-rag's previous txt/pdf/docx-only support.\n\n- New web.py: fetch_url_text() wraps trafilatura, extracting clean\n  readable text (strippi\n[…]\non (5\nchunks), then asked 'What is retrieval-augmented generation?' and got\na genuinely accurate, well-grounded answer with correct citations\nshowing the URL as document_name across 3 distinct chunks.",
          "is_bot": false,
          "headline": "feat: URL ingestion (ingest_url) (#49)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T19:08:42Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "457056ac1b16ca73af2e43c1a2987f25d3f306a1",
          "body": "Resolves a real ambiguity flagged in the gap analysis: a citation\nlike \"(Source 1)\" in an answer previously gave no way to tell\nwhether it referred to a whole document or one specific passage\nwithin it. It was always chunk-level internally, but this was never\ndocumented or exposed - a real gap for a\n[…]\ncit chunk-level format, and the returned citations\nlist correctly mapped each source_number to the right document_name,\nchunk_index, and a verifiable text_preview matching what was actually\nretrieved.",
          "is_bot": false,
          "headline": "feat: citation clarity (chunk-level, structured citations) (#48)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T18:48:27Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "fc0099285c13d48e7803b873f8d69e9a5ff097c6",
          "body": "Adds defensive measures at ingest time, a real gap flagged directly\nagainst RAG's known attack surface - malicious content embedded and\nlater surfaced to an LLM via retrieval.\n\nHonest scope, stated explicitly in the module docstring and README:\nthis reduces risk, it does not eliminate it. Prompt inj\n[…]\nary business text (no\nfalse positive); confirmed ingest_text() logs the expected WARNING for\nsuspicious content but still successfully ingests it, proving this is\na signal, not a block, as documented.",
          "is_bot": false,
          "headline": "feat: content sanitization and injection-risk detection (#47)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T09:50:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "813ac387af213f39273cfb1d4c07fd23dd907cc3",
          "body": "…gs) (#46)\n\nAdds JSONB metadata storage and Postgres-native containment filtering,\nthe basis for multi-tenant isolation - a real gap flagged directly\nagainst the resume's claimed workspace-scoped multi-tenant work,\nwhich had no equivalent in the public API until now.\n\n- New metadata JSONB column on \n[…]\nenant: acme} answer\nmentioned ONLY the acme secret, never the globex one, and vice versa -\nconcrete proof the JSONB filter genuinely restricts retrieval rather\nthan being silently accepted as a no-op.",
          "is_bot": false,
          "headline": "feat: metadata filtering (multi-tenant, date-range, arbitrary JSON ta…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T09:40:28Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2b10adc9acdced8c74060fe309a868a6ad104bdd",
          "body": "…ument) (#45)\n\nAdds methods to manage previously ingested content, which was\npreviously missing entirely - a real production gap since content\ninevitably needs removing or refreshing over time.\n\n- list_documents(limit, offset): documents newest-first, joined with\n  a live chunk count via GROUP BY, n\n[…]\nts,\nconfirmed ask() reflects the updated content (not the original) after\nupdate, confirmed delete_document removes a real document and\ncorrectly returns False (not an exception) for a nonexistent id.",
          "is_bot": false,
          "headline": "feat: document lifecycle (list_documents, delete_document, update_doc…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T08:44:46Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "955f1c6e15fca33510901499e144b82445910c31",
          "body": "Adds async equivalents for every method that touches the database or\nan API, for use inside async web servers (FastAPI, etc.) where a\nblocking sync call would stall the event loop.\n\nHonest implementation note: these wrap the existing, tested sync\nmethods via asyncio.to_thread() rather than a from-sc\n[…]\nency proof: 3 concurrent aask() calls\ncompleted in 5.94s total, well under 3x a single call's typical time,\nconfirming the threading wrapper is genuinely non-blocking rather than\nsilently serializing.",
          "is_bot": false,
          "headline": "feat: async support (aingest, aingest_text, aask, aask_stream) (#44)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T08:28:15Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "60578a0cb46f69d151d6270094d9dddb2d90b7ce",
          "body": "Repeated identical queries were re-embedding from scratch every time.\nAdds an in-memory LRU cache (1000 entries by default) keyed on\n(query text, embedding model) - safe to enable by default since an\nembedding is a pure function of its inputs.\n\n- New QueryEmbeddingCache (cache.py): simple OrderedDic\n[…]\nes + Gemini - three calls (repeat query, repeat same query,\nthen a different query) produced exactly the expected hits=1, misses=2,\nwith the cache-hit call measurably faster than the cache-miss calls.",
          "is_bot": false,
          "headline": "feat: query embedding caching (in-memory LRU, opt-out) (#43)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T05:12:09Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "5079e63e90d4f3e0ad7e2a1340094620877b5faa",
          "body": "Every DB-touching method (ingest_text, ask via retrieval, memory's\nadd_message/get_history/clear_session) previously opened a brand-new\npsycopg2 connection per call and closed it immediately after - a\nfresh TCP handshake + Postgres auth on every single operation, real\navoidable latency especially un\n[…]\nssful ingest,\n5 sequential ask() calls with session memory completing without\nconnection errors, history correctly accumulating and clearing.\nNo functional regressions in retrieval or memory behavior.",
          "is_bot": false,
          "headline": "feat: connection pooling for all database access (#41)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T04:50:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "02d36d63d73b2e1f99ba0323f0613b19d243a785",
          "body": "PR #39 shipped cross-encoder reranking but the README was not\nupdated - same gap the conversation memory feature had before\n(PR #38 fixed that one). Adding this now rather than letting it\ngo unnoticed for another release cycle.\n\nNew Reranking section covers: rerank=True usage, the [rerank]\nextra ins\n[…]\nith full python3 -m build, confirmed via wheel\nMETADATA inspection that the Reranking section and rerank=True\nusage are present, published as part of 0.4.0:\nhttps://pypi.org/project/ragleap-rag/0.4.0/",
          "is_bot": false,
          "headline": "docs: document reranking (rerank=True) (#40)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T04:29:33Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "854390e4fa4ec5d09f676a1ea416b59f47d7626b",
          "body": "Adds rerank=True option to ask() for cross-encoder reranking of\nretrieved chunks before generation. Off by default — no breaking\nchange, no new dependency unless explicitly opted into.\n\n- New RerankerService (reranking.py), lazy-loads sentence-transformers'\n  CrossEncoder (cross-encoder/ms-marco-Min\n[…]\ny (only on\nfirst rerank=True call, visible via the weights-loading progress bar),\nand reranked results genuinely differ from unranked top-k (better\nsource precision in the reranked answer's citation).",
          "is_bot": false,
          "headline": "feat: cross-encoder reranking (session-scoped, opt-in) (#39)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-21T03:55:17Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "774e099909c54b183d86a82f695ee4fe634b2883",
          "body": "…ory (#38)\n\nThe Reliability/fallback example in README.md still referenced the\npre-0.2.0 embedder_api_key= parameter, which no longer exists on\nRagLeap.__init__() (replaced by embedder=EmbeddingConfig(...) in PR\n#36). It was still showing on PyPI as the documented usage for that\nexample even after 0\n[…]\n was accidentally wheel-only), confirmed via wheel METADATA\ninspection that embedder_api_key is gone and the new memory docs are\npresent, published to PyPI: https://pypi.org/project/ragleap-rag/0.3.1/",
          "is_bot": false,
          "headline": "docs: fix stale embedder_api_key reference, document conversation mem…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-20T19:15:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ae9477ac39851c1c14453fa12aaa011542a5ced8",
          "body": "…) (#37)\n\nAdds multi-turn conversation memory to ask()/ask_stream() via an\nopt-in session_id parameter. Omitting session_id preserves fully\nstateless behavior — no breaking change.\n\n- New ConversationMemory class (memory.py): add_message, get_history,\n  clear_session, build_history_prompt — mirrors \n[…]\ntly\nresolved pronoun references ('he', 'his') using only stored context,\nhistory correctly persisted and retrievable via get_history(), and\nclear_session() confirmed to fully wipe a session's history.",
          "is_bot": false,
          "headline": "feat: persistent conversation memory (session-scoped, Postgres-backed…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-20T18:55:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "84f6725f6059be59aaf313b4d396677a9e0e5180",
          "body": "Breaking change: RagLeap.__init__() now takes embedder: EmbeddingConfig\ninstead of embedder_api_key: Optional[str]. Fixes a design flaw where\nembeddings were hardcoded to Gemini regardless of the [gemini]/[anthropic]\n/[openai] extras, contradicting the package's BYOK claim — those extras\nonly ever g\n[…]\ned to 0.2.0, published to PyPI: https://pypi.org/project/ragleap-rag/0.2.0/\n- Verified end-to-end: fresh venv install, real ingest + ask against\n  live Postgres + Gemini, correct token usage reporting",
          "is_bot": false,
          "headline": "feat: pluggable embeddings via EmbeddingConfig (gemini + openai) (#36)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-20T18:36:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a5a9a4be93193b14e1760fd9d51e56da357debd3",
          "body": "…(#35)\n\nFirst installable package split out from ragleap-core, per the\nPhase A/B/C ecosystem plan: pip install ragleap-rag, own pyproject.toml,\nown PyPI listing (name confirmed available).\n\nDeliberately RAG-only — no knowledge-graph, language-detection, or\nintegrations coupling baked in. Those becom\n[…]\ngainst the live\nPostgres database, getting a correct answer with real token usage\nnumbers back. This proves the package works standalone, not just\nthat the files happen to compile inside the monorepo.",
          "is_bot": false,
          "headline": "feat: ragleap-rag — standalone pip-installable RAG package (Phase A) …",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-18T17:44:50Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e3804cbc508704cd0aa7080002afeac6e41f098f",
          "body": "…iability docs (#34)\n\n- Restore the 'Integrations' README section and Features table row,\n  which were lost during a prior merge (PR #22's docs commit never\n  made it into that squash merge — confirmed via git log --follow\n  showing the docs commit missing from the merged diff). Also fixes\n  the hos\n[…]\nncluding known limitations\n  (no streaming usage reporting yet, character-count approximation\n  for context budget, hybrid search not yet benchmarked for ranking\n  quality on a multi-document corpus).",
          "is_bot": false,
          "headline": "docs: restore lost Integrations section, add Retrieval/Generation/Rel…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-18T11:20:53Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6596f771faeb508a7a48a7bb2185e00a319f6e0b",
          "body": "Real, verifiable token optimization — not a marketing claim, numbers\na developer can reproduce themselves.\n\n- core/generation.py: generate_answer() now returns actual token usage\n  (prompt_tokens, completion_tokens, total_tokens) pulled from each\n  provider's real response (Gemini's usage_metadata, \n[…]\ned prompt+completion\nbecause thinking-model 'thoughts' tokens are billed but not part of\nthe visible split — our reporting surfaces the real number rather\nthan a recalculated one that would hide this.",
          "is_bot": false,
          "headline": "feat: real token usage reporting + context budget trimming (#33)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-18T05:20:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "79c351b18297ca58227a2660e5cf80a4b49df2db",
          "body": "If the primary LLM_PROVIDER fails (rate limit, outage, bad key), retry\nwith each provider in LLM_FALLBACK_PROVIDERS (comma-separated), in\norder, before giving up.\n\n- core/generation.py: refactored provider resolution into a standalone\n  _resolve_provider_config() function (required=True for the prim\n[…]\nh generate_answer() and generate_answer_stream().\nConfirmed provider_used flows correctly through the full HTTP /chat\nendpoint under normal (non-fallback) operation, returning\nprovider_used: 'gemini'.",
          "is_bot": false,
          "headline": "feat: LLM provider fallback chain (#31)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T19:06:21Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a2a6c1a9589c99e4134fa697868704383016a147",
          "body": "…s (#30)\n\nReal, tested developer-facing controls, not surface-level flags:\n\n- core/retrieval.py: new search_sparse_chunks() (Postgres full-text\n  search via websearch_to_tsquery + ts_rank) and search_hybrid_chunks()\n  (combines dense + sparse via Reciprocal Rank Fusion, RRF_K=60,\n  still applies the\n[…]\nefit on a multi-document corpus with genuinely conflicting dense\nvs. sparse rankings — only single-document correctness. Worth a\nfollow-up benchmark before making comparative retrieval-quality claims.",
          "is_bot": false,
          "headline": "feat: hybrid search (dense+sparse), streaming, and generation control…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T18:39:37Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "200493c14154dd483fa9b047eea1bb7915bfda7c",
          "body": "… (#23)\n\n- Add a note distinguishing this repo (MIT, free, no license key) from\n  install.ragleap.com (separate paid, license-gated self-hosted product)\n- Update the status badge, stale since it only listed 3 channels —\n  now reflects 4 channels + Knowledge Graph + multilingual detection\n  + integrations, all merged",
          "is_bot": false,
          "headline": "docs: clarify install.ragleap.com naming overlap, update status badge…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T04:31:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59b9fa5557ebff3fff6fcfb868307419e468075a",
          "body": "Opens the integrations/CRM connectors feature, ported from production's\napi/addon_models.py + api/addon_services.py (workspace scoping removed,\nsingle-tenant; Django ORM replaced with plain dataclass + psycopg2,\nmatching core/ingest.py's pattern).\n\n- core/integrations/base.py: DataSource dataclass, \n[…]\nmatically\ninjected into chat responses — core/chat.py would need a lookup by\nuser_identifier per channel, which requires each channel adapter to\nknow its own user's identifier, a reasonable next step.",
          "is_bot": false,
          "headline": "feat: add external data source integrations (9 connectors) (#22)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-17T04:15:17Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e1226546298c2278595c1a2451813fe4d530aa6b",
          "body": "* feat: add language detection (langdetect) to ingestion and chat\n\n- Add core/language.py: LanguageDetector class ported from production's\n  multilingual/language_detector.py, single-tenant, Django settings\n  replaced with .env vars. Includes script-based heuristics (CJK/Hangul/\n  Kana), confidence \n[…]\n confirmed working, and known limitations (langdetect's language\n  coverage vs. the hosted platform's, short-query misdetection risk,\n  and that detection doesn't yet steer the AI's response language)",
          "is_bot": false,
          "headline": "feat: Language detection (langdetect) for ingestion and chat (#21)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-16T09:49:30Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ffe336437d24a5f4dc70d2b3ad774b50a9fd44ce",
          "body": "- Add core/language.py: LanguageDetector class ported from production's\n  multilingual/language_detector.py, single-tenant, Django settings\n  replaced with .env vars. Includes script-based heuristics (CJK/Hangul/\n  Kana), confidence thresholds, and query-specific overrides (ASCII\n  ratio, context sn\n[…]\nery was detected as Italian) — this is an inherent langdetect\nlimitation on short text, not a regression from the port; production's\nown heuristics exist specifically to mitigate (not eliminate) this.",
          "is_bot": false,
          "headline": "feat: add language detection (langdetect) to ingestion and chat (#20)",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-16T09:39:54Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "002d91c63ec3f8d2452c6614c4afda82bf22c3c3",
          "body": "…etrieval (#19)\n\n* feat: wire Neo4j knowledge graph into ingestion and retrieval\n\n- Add core/graph.py: entity extraction, document graph upsert, and\n  entity-based document/related-entity lookup (ported from production's\n  retrieval/graph_service.py, single-tenant, Django coupling removed)\n- Wire gr\n[…]\nthe same code path real ingestion uses)\nuntil Neo4j genuinely accepts Bolt connections, before any smoke\ntest runs.\n\n* ci: simplify Neo4j wait check to single-line Python (avoid YAML dedent fragility)",
          "is_bot": false,
          "headline": "feat: Knowledge Graph (Neo4j) — entity extraction and graph-boosted r…",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-16T07:44:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7c5ace16ca2b1e6bc3880d03adb757952de022b6",
          "body": "docs: fix stale 'not ready for contributions' text in Contributing se…",
          "is_bot": false,
          "headline": "Merge pull request #18 from antonyrag/docs/link-student-projects",
          "author_name": "TC Antony",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T18:54:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f9f828c43be45e98fb9629a01fc5c4a4d6def491",
          "body": "…ction, link STUDENT_PROJECTS.md",
          "is_bot": false,
          "headline": "docs: fix stale 'not ready for contributions' text in Contributing se…",
          "author_name": "antonyrag",
          "author_login": "antonyrag",
          "committed_at": "2026-07-14T18:50:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "68703fc3b676787c829222258ce3f4f3e7b82518",
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                "detail": "not reported by this ecosystem",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_reported_by_this_ecosystem",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
      },
      {
        "key": "governance",
        "band": "at_risk",
        "name": "Sustainability & Governance",
        "value": 36,
        "weight": 0.24,
        "metrics": [
          {
            "key": "maintainer_resilience",
            "band": "critical",
            "name": "Maintainer resilience (bus factor)",
            "note": null,
            "notes": [],
            "value": 10,
            "inputs": {
              "bus_factor": 1,
              "contributors_sampled": 1,
              "top_contributor_share": 1
            },
            "components": [
              {
                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "1 contributor(s) cover half of all commits",
                "points": 9,
                "status": "partial",
                "details": [
                  {
                    "code": "bus_factor",
                    "params": {
                      "count": 1
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                  }
                ],
                "max_points": 54
              },
              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 100% of commits",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "top_contributor_share",
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                      "share": 100
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                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "1 contributors",
                "points": 1.4,
                "status": "partial",
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                  {
                    "code": "contributors_sampled",
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                      "count": 1
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                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "at_risk",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 37,
            "inputs": {
              "merged_prs": 48,
              "open_issues": 11,
              "closed_issues": 0,
              "issue_closed_ratio": 0,
              "closed_unmerged_prs": 2
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "0% of issues closed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 0
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                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "48/50 decided PRs merged",
                "points": 36.7,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
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                      "merged": 48,
                      "decided": 50
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                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
            "band": "critical",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "verified_domain"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 16,
            "inputs": {
              "followers": 0,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "antonyrag",
              "public_repos": 1,
              "account_age_days": 139
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "0 followers of antonyrag",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 0,
                      "login": "antonyrag"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "1 public repos, account ~0 yr old",
                "points": 3,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 1
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 0
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "ragleap-rag"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 0
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            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 0 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 0
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "22 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 22
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 71,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 68,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": false,
              "has_precommit_config": false
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "1 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 1
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "good",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 75,
            "inputs": {
              "topics": [
                "ai-agents",
                "business-automation",
                "database-integration",
                "document-qa",
                "document-qa-agent",
                "executive-assistant",
                "executive-assistant-agent",
                "intelligent-automation",
                "intelligent-automation-platform",
                "llm",
                "multi-tenant",
                "multi-tenant-saas",
                "open-core",
                "saas",
                "self-hosted",
                "voice-ai",
                "workflow-automation",
                "rag-ai-chatbot"
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              "has_wiki": true,
              "homepage": "https://ragleap.com",
              "has_readme": true,
              "has_docs_dir": false,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://ragleap.com",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "18 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 18
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 27,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "packaging",
                    "signed_releases"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 27,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 2.7
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            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "project was created within the last 90 days. Please review its contents carefully",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "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": "56 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 39,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "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": [
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                    "code": "no_agent_instructions",
                    "params": {}
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                ],
                "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": "85 of 85 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 85,
                      "sampled": 85
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                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 32,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
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              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": 0,
                "status": "missed",
                "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": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 85",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
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                  }
                ],
                "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",
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                "max_points": 10
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            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 30306,
              "source_files_sampled": 70,
              "oversized_source_files": 0
            },
            "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"
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/70 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 70,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
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                "points": 0,
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              {
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                "points": 40,
                "status": "met",
                "details": [
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        ],
        "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",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:ragleap-rag@0.6.0; advisories assessed against the repository dependency graph instead"
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  "report_type": "repository",
  "generated_at": "2026-07-26T19:04:40.132295Z",
  "schema_version": "0.27.0",
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}

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 agregadasPyPI.