thoughtbot/opentelemetry-instrumentation-ruby_llm erreicht einen Gesundheitsindex von 69 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (80/100) ab, am schwächsten bei AI Readiness (36/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
69
gesamt / 100
Gut
Software-Gesundheitsindex
Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.
69
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Der gewichtete Gesamtwert 62 wird auf der veröffentlichten Indexskala auf 69 kalibriert (Register-Kalibrierung 2026-08-02).
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Release-Rhythmus — ein Release etwa alle 24,9 Tage
0/10
OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count
8
latest_release_tag
v0.7.1
releases_from_tags
nein
days_since_latest_release
0
mean_days_between_releases
24,9
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.
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
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 8 ⇿
0Sterne
8Forks
4Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 4Patch 0
OpenSSF Scorecard 5.0 / 10
5.0Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-31 19:24 UTC
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
JSON-Rohbericht maschinenlesbar
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"headline": "Document conversation and user tracking via with_otel_attributes (#28)",
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"headline": "Update README with supported features and fix typo on install instruc…",
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"headline": "Bump version to 0.5.0",
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"body": "Allows setting arbitrary OpenTelemetry attributes on chat spans or\ntraces via `with_otel_attributes`. Values can be static or callables\n(Procs/ lambdas) that are evaluated after each completion for access to\nresponse data.",
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"headline": "Add `with_otel_attributes` for custom observation attributes (#21)",
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"body": "The outer `rescue StandardError` blocks in `complete`, `execute_tool`,\nand `embed` were catching errors from instrumentation, logging them\nvia `OpenTelemetry.handle_error`, and then calling `super` — which\nre-executed the original RubyLLM method, resulting in duplicate API\ncalls to the LLM provider.\n[…]\ndd the `error.type` attribute per GenAI semantic conventions.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n(cherry picked from commit 8da3544f717040682ef9181942a2386fc96e532f)",
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"body": "Since ruby_llm supports Ruby >= 3.1.0, this updates the minimum\nRuby version to 3.1.3 to match. All specs continue to pass and\nno 3.2-specific features are in use.",
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"headline": "Relax Ruby version requirement from 3.2.0 to 3.1.3 (#19)",
"author_name": "tleish",
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"body": "Instrument the embeddings endpoint following the OpenTelemetry GenAI\nsemantic conventions for embedding spans. The patch is applied via\nsingleton_class.prepend on RubyLLM::Embedding, wrapping the class-level\nembed method with a CLIENT span.\n\nSpan attributes:\n- gen_ai.operation.name: \"embeddings\"\n- g\n[…]\n\n\nTests cover span creation with all attributes, error recording on\nAPI failure, and resilience when instrumentation itself fails.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add instrumentation for RubyLLM::Embedding.embed (#17)",
"author_name": "Edgars Beigarts",
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"headline": "Bump version to 0.3.0",
"author_name": "Clarissa Borges",
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"oid": "23c4d38c6aa95d7b28aa8576d0c3d836b6f5dc73",
"body": "RubyLLM's Rails/ActiveRecord integration (acts_as_chat) defines its own\nask method that calls RubyLLM::Chat#complete directly, bypassing the\ninstrumentation's patched #ask method. By instrumenting #complete instead,\nall LLM API calls are captured regardless of the entry point.\n\nThis also means tool \n[…]\n ask loop, giving better\nvisibility into each individual LLM request.\n\nCloses thoughtbot/opentelemetry-instrumentation-ruby_llm#15\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Instrument complete instead of ask (#16)",
"author_name": "Edgars Beigarts",
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"headline": "Update chat.rb interface",
"author_name": "Bruno Stival Ferraro",
"author_login": "ferrarob",
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"headline": "Bump version to 0.2.0",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-02-07T20:35:32Z",
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"is_bot": false,
"headline": "Untrack Gemfile.lock",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
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"body_truncated": false,
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"oid": "b75c17ab49b32079ecc789891a688a4fd4766d22",
"body": "Support capturing gen_ai.system_instructions, gen_ai.input.messages and\ngen_ai.output.messages via capture_content config option or\nOTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT env var. Content is\nnot captured by default.",
"is_bot": false,
"headline": "Add opt-in content capture for messages and system instructions",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-02-07T20:17:00Z",
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"oid": "c7b4f098d5279517e1d362e5b5f6fce823990d5c",
"body": "The inner rescue now wraps only the super call, so instrumentation bugs\ndon't get misrecorded as API errors on the span.",
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