thoughtbot/opentelemetry-instrumentation-ruby_llm має індекс здоров’я 69 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (80/100), найнижчий — AI Readiness (36/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.
69
загалом / 100
Добрий
Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє зважене середнє, відкаліброване за розподілом публічного реєстру, тож діапазони мають перцентильний зміст; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 34 («У зоні ризику»).
69
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Зважений загальний бал 62 калібровано до 69 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Має свідомо малу вагу (4%): агентний інструментарій — реальний сигнал супроводу, але репозиторій без нього все одно може отримати 100/100.
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Докладніше
Історія зірок і форків 0 ★ / 8 ⇿
0Зірки
8Форки
4Релізи
Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.
Мажорні 0Мінорні 4Патчі 0
OpenSSF Scorecard 5.0 / 10
5.0сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-31 19:24 UTC
Не вдалося зібрати розв'язаний набір залежностей для цього звіту: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Звіт у форматі JSON машиночитний
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"headline": "Bump version to 0.7.1",
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"body": "…(#32)\n\nThis stamps the conversation id on traces by introducing a prepend on\n`RubyLLM::ActiveRecord::ChatMethods#to_llm` that hands the record id to\nthe Chat patch through a dedicated `otel_conversation_id` writer rather\nthan only through manually setting `with_otel_attributes`.\n\n`with_otel_attribu\n[…]\ni.conversation.id`, it wins over the\nautomatic one being introduced.\n\nThe legacy `acts_as` API (where `use_new_acts_as` is set to `false`)\nuses a different module and keeps the documented manual path.",
"is_bot": false,
"headline": "Automatically set conversation id on chat spans of persisted records …",
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"body": "Every top-level agent `ask` previously produced its own anonymous \"chat\n<model>\" root trace, so a job driving an agent would show up as a pile\nof unnamed traces with no domain grouping and no way to tell which agent\nran.\n\nThis prepends a patch onto RubyLLM::Agent that wraps ask, say, and\ncomplete in\n[…]\n not set, it's\ngoing to show blakn once the agent span becomes the root.\n\n`with_otel_attributtes` forwards to the underlying chat (through\n`to_llm` for records), and is also applied to the agent span.",
"is_bot": false,
"headline": "Trace RubyLLM::Agent invocations as invoke_agent root spans",
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"headline": "Document conversation and user tracking via with_otel_attributes (#28)",
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"oid": "cad93ceb5cc88e0b9b75bf0f7f1513429609c826",
"body": "Tool results can be quite large (RAG docs, JSON responses, DB rows), and the current hardcoded limit sometimes truncates important context.\n\nFor evaluation and development, we need access to the full tool output - partial data isn’t enough to properly assess retrieval quality or build reliable eval datasets. Since tools like MLflow, Arize Phoenix, Traceloop, etc support full tool I/O, this limit can be configured instead of hardcoded.",
"is_bot": false,
"headline": "Add configurable tool_result_max_length for tool result spans (#30)",
"author_name": "Andrii Sheredeha",
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"body": "…#29)\n\n* Capture RubyLLM::Content and RubyLLM::Content::Raw in message spans\n\nCapture structured message content in the input/output message and\nsystem-instruction span attributes, covering both RubyLLM::Content\n(text plus attachments) and RubyLLM::Content::Raw (provider-specific\npayloads). RubyLLM:\n[…]\nnt as readable text instead of `[object Object]`.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"headline": "Capture RubyLLM::Content and RubyLLM::Content::Raw in message spans (…",
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"body": "The test was stubbing an OpenAI response with `cache_write_tokens`, but\nruby_llm's OpenAI provider only extracts that field as of 1.15.0. On\n1.8.0-1.14.1 it hardcodes `cache_creation_tokens` to 0 causing the test\nto fail.\n\nSplit this test into two tests:\n- OpenAI: asserts only `cache_read.input_toke\n[…]\ncreation` since\n Anthropic has surfaced both since the accessors were added\n\nBoth tests skip on ruby_llm < 1.9.0 where the `cached_tokens` /\n`cache_creation_tokens` Message accessors don't exist yet.",
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"headline": "Split prompt cache token test by provider (#27)",
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"headline": "Bump version to 0.6.0",
"author_name": "Clarissa Borges",
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"body": "Pins testing against two RubyLLM versions in CI so we catch\ncompatibility regressions across the supported range:\n\n- `ruby_llm-1.8.0` is practical minimum at current moment.\n `RubyLLM::Models.resolve` class-level delegation (added in\n 1.8.0) are referenced by the chat / embedding patches, so anyth\n[…]\n cannot run this gem.\n- `ruby_llm-1-latest` — `~> 1.8`, resolves to the latest 1.x release\n (currently 1.15.x). Catches breaking changes in newer RubyLLM\n releases before they surface in production.",
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"body": "Make the requirement explicit via the standard OTel\ninstrumentation pattern: a `compatible` block that returns false when\nthe loaded `ruby_llm` version is below the pin (mirrors what httpx,\nhttp, http_client do in opentelemetry-ruby-contrib).\n\nWhen the block returns false, OpenTelemetry::Instrumenta\n[…]\nwithout\nthe OTel traces (and without a hard crash).\n\nNote: `gem \"rspec-mocks\"` test dependency added to use `stub_const`.\nThis is aligned with other instrumentation gems in opentelemetry-ruby-contrib.",
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"headline": "Require ruby_llm >= 1.8.0 via OTel `compatible` block (#25)",
"author_name": "Oleksii Leonov",
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"body": "…tool spans (#23)\n\nAdding more tags from OpenTelemetry GenAI semantic conventions\nhttps://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/.\n\n`Chat#complete`:\n\n- `gen_ai.request.stream`\n- `gen_ai.usage.cache_read.input_tokens`\n- `gen_ai.usage.cache_creation.input_tokens`\n\n`Chat#execute_tool`:\n\n- `error.type` + record_exception + ERROR status on rescue.\n- `gen_ai.tool.description`",
"is_bot": false,
"headline": "Add GenAI semconv attributes for streaming, prompt-cache tokens, and …",
"author_name": "Oleksii Leonov",
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"is_bot": false,
"headline": "Set gen_ai.operation.name for tool spans to \"execute_tool\" (#22)",
"author_name": "Oleksii Leonov",
"author_login": "oleksii-leonov",
"committed_at": "2026-05-21T16:32:29Z",
"body_truncated": false,
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"body": "…tions",
"is_bot": false,
"headline": "Update README with supported features and fix typo on install instruc…",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-05-08T16:07:41Z",
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"body": null,
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"headline": "Bump version to 0.5.0",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-05-08T15:57:52Z",
"body_truncated": false,
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"oid": "caac9b77d20e80066f773b67707a6425507042a2",
"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.",
"is_bot": false,
"headline": "Add `with_otel_attributes` for custom observation attributes (#21)",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-05-08T15:42:18Z",
"body_truncated": false,
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"headline": "Bump version to 0.4.0",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-04-10T20:18:36Z",
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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)",
"is_bot": false,
"headline": "Remove outer rescue blocks that caused duplicate RubyLLM calls",
"author_name": "Edgars Beigarts",
"author_login": "ebeigarts",
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"body_truncated": true,
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},
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"oid": "7c15cb6daa2dd4d4bc6d94c35245dbaca4ae70dc",
"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.",
"is_bot": false,
"headline": "Relax Ruby version requirement from 3.2.0 to 3.1.3 (#19)",
"author_name": "tleish",
"author_login": "tleish",
"committed_at": "2026-04-10T17:20:15Z",
"body_truncated": false,
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"oid": "cac521f267910053d1d1ff6b0176da63961c7db2",
"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",
"author_login": "ebeigarts",
"committed_at": "2026-04-10T17:08:51Z",
"body_truncated": true,
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"oid": "3328ffe5d086ff437095e6934efe7ccc6e1aa51d",
"body": null,
"is_bot": false,
"headline": "Bump version to 0.3.0",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-04-10T14:42:53Z",
"body_truncated": false,
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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",
"author_login": "ebeigarts",
"committed_at": "2026-04-10T14:11:25Z",
"body_truncated": true,
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},
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"oid": "c75f29f7eca96ed00a59a1e4e8184be3843e15c3",
"body": null,
"is_bot": false,
"headline": "Update chat.rb interface",
"author_name": "Bruno Stival Ferraro",
"author_login": "ferrarob",
"committed_at": "2026-03-24T13:08:35Z",
"body_truncated": false,
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},
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"oid": "0803c945f2166989289ec6d040f6afd706c03c3e",
"body": null,
"is_bot": false,
"headline": "Bump version to 0.2.0",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-02-07T20:35:32Z",
"body_truncated": false,
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"oid": "9e1c777b72a74d8b9029ffee53efce054c02b2ce",
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"is_bot": false,
"headline": "Untrack Gemfile.lock",
"author_name": "Clarissa Borges",
"author_login": "clarissalimab",
"committed_at": "2026-02-07T20:35:32Z",
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"notes": [],
"value": 65,
"inputs": {
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"readme_badges": null,
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{
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"components": [
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"notes": [],
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"inputs": {
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"components": [
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{
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"inputs": {
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{
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{
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Пов’язані записи
Перевірені репозиторії, що мають спільні каталожні теги або екосистеми з thoughtbot/opentelemetry-instrumentation-ruby_llm. Читати поруч →
Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v2.5.0, схема v0.27.0 — повна методологія · вікі метрик.
