Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.30.0 · метрики 2.3.1 · 2026-08-03 07:23 UTC

pipecat-ai / pipecat

Open Source framework for voice and multimodal conversational AI

PythonBSD-2-Clause★ 13 872 зірки⑂ 2 396 форківз груд. 2023 р.Переглянути на GitHub ↗
ТипІнструмент командного рядкаБібліотекаяк це визначено

pipecat-ai/pipecat має індекс здоров’я 98 зі 100, що відповідає смузі «Винятковий». Найвищий показник — Vitality (100/100), найнижчий — Security (71/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.

98
загалом / 100
Винятковий

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»).

98
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)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

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 86 калібровано до 98 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

PipecatОрганізація
673 підписники58 публічних репозиторіївз трав. 2024 р.

За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIpipecat-ai1.7.01 183 0771091 день томуwebrtcaudiovideoai

Метрики за категоріями

Життєздатність

Чи живий проєкт — чи пишеться код і чи виходять релізи?

100Винятковий · 21% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
36/36Ритм комітів — 52/52 тижнів із комітами
18/18Обсяг комітів — 6 276 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year6 276
human_commit_share1
days_since_last_push0
active_weeks_last_year52
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 100 релізів
36/36Свіжість релізів — останній реліз 1 дн. тому
27/27Ритм релізів — реліз кожні ~14,1 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count100
latest_release_tagv1.7.0
releases_from_tagsні
days_since_latest_release1
mean_days_between_releases14,1
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Signed-Releases. Залишкові ваги перенормовано.

Спільнота та впровадження

Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?

90Відмінний · 17% загального індексу
Як обчислюється оцінка
60/60Зірки — 13 872 зірок
25/25Форки — 2 396 форків
10.4/15Спостерігачі — 76 спостерігачів
Використані вхідні дані
forks2 396
stars13 872
watchers76
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (BSD-2-Clause)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges5
has_contributingтак
has_issue_templateні
has_code_of_conductні
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateтак
Як обчислюється оцінка
80/80Щомісячні завантаження — 1 183 077 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagespipecat-ai
dependents
ecosystemspypi
total_downloads
monthly_downloads1 183 077
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.

Сталість та врядування

Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?

77Добрий · 23% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
15.6/22.5Розподіл комітів — головний контриб’ютор — автор 31% комітів
13.5/13.5Широта контриб’юторів — 99 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled99
top_contributor_share0,307
Як обчислюється оцінка
39.2/42Вирішення issue — закрито 93% issue
24.1/30Прийняття PR — злито 3 055/3 809 вирішених PR
5.6/13Newcomer PR acceptance — злито 3/7 PR від новачків за 30 дн.
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs3 055
open_issues84
closed_issues1 168
prs_merged_7d38
prs_decided_7d49
prs_merged_30d38
prs_decided_30d49
issue_closed_ratio0,933
closed_unmerged_prs754
first_time_authors_30d7
first_time_prs_merged_30d3
first_time_prs_decided_30d7
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
20.3/25Охоплення власника — 673 підписників у pipecat-ai
17.3/25Послужний список — 58 публічних репозиторіїв, вік облікового запису ~2 р.
Використані вхідні дані
followers673
owner_typeOrganization
is_verified
owner_loginpipecat-ai
public_repos58
account_age_days812

Супровід пакетів

100Винятковий
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 1 дн. тому
20/20Історія версій — 109 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagespipecat-ai
ecosystemspypi
any_deprecatedні
min_days_since_publish1

Інженерна якість

Чи наявні базові інженерні практики та документація?

92Відмінний · 19% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 11 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — eslint.config.js, eslint.config.mjs
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://pipecat.ai
10/10Опис репозиторію
10/10Теми — 6 тем
0/10Wiki
Використані вхідні дані
topicsai, real-time, voice, voice-assistant, chatbot-framework, chatbots
has_wikiні
homepagehttps://pipecat.ai
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?

71Добрий · 16% загального індексу

Стан безпеки

64Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 13 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — немає даних
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,4
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages52
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:pipecat-ai@1.7.0 — тим, що тягне за собою встановлення опублікованого пакета, — 52 пакетів. Досяжність не аналізується.

Готовність до ШІ

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.

80Відмінний · 4% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 83 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,83
agent_instruction_filesAGENTS.md, CLAUDE.md, src/pipecat/cli/agent_templates/AGENTS.md, src/pipecat/cli/agent_templates/CLAUDE.md
agent_instruction_max_bytes29 522
Як обчислюється оцінка
18/18Розгортання однією командою — docs/api/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — eslint.config.js, eslint.config.mjs
11/11Статична перевірка типів — pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed
10/10Відтворюване середовище — Dockerfile, lockfile
4/10Підтверджена практика роботи з агентами — 2 з останніх 100 комітів створено агентом або з його зазначенням
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilespackage-lock.json, uv.lock
has_dockerfileтак
typed_languageні
bootstrap_filesdocs/api/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configspyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed
agent_commit_share0,02
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed)
54.2/55Керовані розміри файлів — 18/1 199 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes146 524
source_files_sampled1 199
oversized_source_files18
Як обчислюється оцінка
40/40Схема API (OpenAPI/GraphQL/proto) — src/pipecat/frames/frames.proto
0/20Сервер MCP
40/40Придатні до запуску приклади — examples
Використані вхідні дані
example_dirsexamples
has_mcp_signalні
api_schema_filessrc/pipecat/frames/frames.proto

Ключові факти

13 872зірок GitHub
99контриб'юторів
6 276комітів за останні 12 місяців
0днів від останнього пушу
100релізів
2бас-фактор
84відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

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

Докладніше

Історія зірок і форків 0 ★ / 2 396 ⇿
0Зірки
2 396Форки
25Релізи

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.

Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.

1 2001 6002 0002 4002 396182025-112026-032026-08
Мажорні 1Мінорні 7Патчі 17
OpenSSF Scorecard 6.4 / 10
6.4сукупно

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 · 2026-08-03 07:22 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 22
РеєстрПакетОбмеження версіїМаніфест
PyPIaiofiles>=24.1.0,<27pyproject.toml
PyPIaiohttp>=3.11.12,<4pyproject.toml
PyPIaudioop-lts~=0.2.1pyproject.toml
PyPIdocstring_parser>=0.16,<1pyproject.toml
PyPIloguru~=0.7.3pyproject.toml
PyPIMarkdown>=3.7,<4pyproject.toml
PyPInltk>=3.10.0,<4pyproject.toml
PyPInumpy>=1.26.4,<3pyproject.toml
PyPIPillow>=11.1.0,<13pyproject.toml
PyPIprotobuf>=5.29.6,<7pyproject.toml
PyPIpydantic>=2.10.6,<3pyproject.toml
PyPIpyloudnorm~=0.2.0pyproject.toml
PyPIresampy~=0.4.3pyproject.toml
PyPIsoxr~=1.0.0pyproject.toml
PyPIopenai>=1.74.0,<3pyproject.toml
PyPItyping_extensions>=4.9pyproject.toml
PyPInumba>=0.61.2,<1pyproject.toml
PyPIwait_for2>=0.4.1,<1pyproject.toml
PyPIwebsockets>=13.1pyproject.toml
PyPIpyyaml>=6,<7pyproject.toml
PyPInum2words>=0.5.14pyproject.toml
PyPIonnxruntime~=1.24.3pyproject.toml
Усі залежності 448

Повний розв'язаний набір залежностей із графа залежностей GitHub: 23 прямих і 425 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIaiofiles24.1.0пряма
PyPIaiohttp3.14.1пряма
PyPIaudioop-lts0.2.2пряма
PyPIdocstring-parser0.18.0пряма
PyPIloguru0.7.3пряма
PyPImarkdown3.10.2пряма
PyPInltk3.10.0пряма
PyPInum2words0.5.14пряма
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Встановлення pypi:pipecat-ai@1.7.0 тягне 52 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

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Звіт у форматі JSON машиночитний
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          "body": "evals: support setting language on built-in speech/transcription services",
          "is_bot": false,
          "headline": "Merge pull request #5171 from pipecat-ai/evals-speech-language",
          "author_name": "Mark Backman",
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          "body": "Both notes explain a choice the code can't show — why Moonshine is the wrong\ntranscriber for a non-English bot, and why a runtime language switch reports\ninstead of raising. Phrase each as the constraint itself.",
          "is_bot": false,
          "headline": "evals: state the transcriber constraints as constraints",
          "author_name": "Mark Backman",
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          "body": "`language_switch_audio` asks the bot (in English) to reply only in Spanish and\njudges the transcription of the Spanish it actually speaks, so the release suite\ncovers a non-English answer surviving the bot's TTS and the harness's STT. The\nexisting `language_switch` makes the same request but judges \n[…]\nario, so the bot's English greeting is asserted\non `tts_response` and only the Spanish turn on `response`.\n\nRun artifacts under test-runs/ are ignored — the suite writes conversation\nrecordings there.",
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          "headline": "evals: add a Spanish audio scenario for the release suite",
          "author_name": "Mark Backman",
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          "body": "Both local transcribers are English-only in their default configuration:\nWhisper's default model is a `.en` build, and Moonshine ships non-English\nmodels only for the `base` architecture. Setting `language` alone isn't enough\non either, so the builders say which model to pair it with, and the scenario\nexamples show a combination that works.",
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          "headline": "evals: document the model a non-English language needs",
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          "body": "The English-only models — every `.en` one, including the default\n`distil-medium.en` — accept any language and transcribe as English regardless,\nso a non-English `language` yielded fluent-looking output in the wrong language\nwith nothing to distinguish it from a correct result. Loading such a pairing\n[…]\n.\n\nA mid-call switch through `STTUpdateSettingsFrame` reports a non-fatal error\ninstead: the model stays loaded and keeps transcribing, which beats tearing\ndown a live pipeline over a settings change.",
          "is_bot": false,
          "headline": "whisper: reject a language the loaded model can't transcribe",
          "author_name": "Mark Backman",
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          "body": "kokoro-onnx phonemizes through espeak-ng, so the language map holds espeak-ng\nvoice names rather than ISO codes. espeak-ng ships no `zh` and no bare `fr`, so\nboth languages failed at synthesis with \"language ... is not supported by the\nespeak backend\". Mandarin and its regional variants map to `cmn` and French to\n`fr-fr`, with the regional French and Brazilian Portuguese variants pointed at\nthe espeak-ng voices that exist for them.",
          "is_bot": false,
          "headline": "kokoro: use espeak-ng voice names for French and Mandarin",
          "author_name": "Mark Backman",
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          "body": "`_cfg_language` decides whether a scenario's `language:` key reaches the\nservice at all, so its branches are worth pinning on their own: absent and\nblank values leave the field unset, a code or a `Language` is accepted, and\nanything unrecognized raises. The Cartesia builder tests stay as the check that\na resolved language actually reaches the constructed service.",
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          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:23:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "45336a2a87c85220de68b9742f9b58922cb992d0",
          "body": "The builders take their configuration as a dict, so the recognized keys belong\nin each function's `Args:` entry, where Sphinx renders them alongside the\nparameters they describe. Notes the constraints a caller can't see from the\nsignature: Kokoro voices are language-specific, so a non-English `language`\nneeds a matching `voice`, and a region variant like `zh-TW` falls back to the\nbase code on most services.",
          "is_bot": false,
          "headline": "evals: document the speech builder config keys as parameters",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:21:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "99bb6645d13f482f4d75e8b403765618795492c4",
          "body": "Every settings field defaults to NOT_GIVEN and the sentinel is a singleton, so\npassing NOT_GIVEN for `language` is indistinguishable from leaving the field\nout. Each builder hands `_cfg_language()` straight to its `Settings`\nconstructor, which keeps the call type-checked and drops the per-builder\nconditional.",
          "is_bot": false,
          "headline": "evals: build speech service settings in a single expression",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:10:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e6b625ddd75865c8e3cda99ba945a5b24921d34f",
          "body": "WhisperSTTService defaults to Language.EN and passes it straight to\nfaster-whisper, so omitting `language` in a `judge.transcription:` block\ntranscribes as English rather than auto-detecting. State that in\n`whisper_service`, matching how the other builders document their defaults.\n\nAlso trims docstring and test comments that only restate the adjacent code.",
          "is_bot": false,
          "headline": "evals: correct the Whisper language default in the builder docs",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-02T18:05:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "da0fc157682b746e6b39fa03062a64dfccf806e5",
          "body": "Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Apply suggestions from code review",
          "author_name": "James Hush",
          "author_login": "jamsea",
          "committed_at": "2026-08-02T12:10:07Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "3ddc22ef255653882838ea7c0f905d375059f634",
          "body": null,
          "is_bot": false,
          "headline": "changelog: add fragment for eval speech/transcription language support",
          "author_name": "James Hush",
          "author_login": "jamsea",
          "committed_at": "2026-08-02T12:10:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6f6a5d6b4badb42bf3f7477050f2f28144e17b6c",
          "body": "…ices\n\nThe eval harness runs its own TTS to synthesize user turns and its own\nSTT to transcribe the bot's audio for the judge. The built-in service\nbuilders read voice and model from the scenario config but never a\nlanguage, so non-English audio evals synthesized with an English voice\nand transcribe\n[…]\noerces\nfrom a code string like zh or a Language. The TTS cache key includes the\nlanguage so English and non-English renders of the same text don't\ncollide. Omitting language leaves behavior unchanged.",
          "is_bot": false,
          "headline": "evals: support setting language on built-in speech/transcription serv…",
          "author_name": "James Hush",
          "author_login": "jamsea",
          "committed_at": "2026-08-02T12:10:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c49bf69df42f235c125a2602fbfe8aec005b02e9",
          "body": "Release 1.7.0 - Changelog Update",
          "is_bot": false,
          "headline": "Merge pull request #5191 from pipecat-ai/changelog-1.7.0",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T16:11:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dd1146326827c210c3e0a2f973f16e1cdfddbde8",
          "body": null,
          "is_bot": false,
          "headline": "Update changelog for version 1.7.0",
          "author_name": "markbackman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T16:00:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f3ef1a67bc619258e23bce4439632798fffff26d",
          "body": "…sage\n\nfix(novita): report token usage once per completion",
          "is_bot": false,
          "headline": "Merge pull request #5180 from pipecat-ai/mb/novita-cumulative-token-u…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:45:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "24e1973170df341542e307b5009b4e54946f6868",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry for Perplexity and NVIDIA token counts",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:34:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0026658bb37e0369e60c5b32c01575d8707dd887",
          "body": "Baseten, Grok, Perplexity and NVIDIA each repeat a cumulative token usage\nsnapshot on every streamed chunk. Each service holds the latest snapshot in a\nsingle field and reports it through the base implementation when the completion\nends, including when the response is interrupted mid-stream. This ma\n[…]\name the streaming loop that calls the\noverridden method.\n\nReporting the snapshot whole means Perplexity and NVIDIA carry the cache-read\nand reasoning counts alongside the prompt and completion counts.",
          "is_bot": false,
          "headline": "refactor(llm): report cumulative token usage once per completion",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:34:49Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6e757c4c028f599f676ada444f366b419b0fcdc1",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry for PR #5180",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:34:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fc5042420d7bdaee94d3613853b2a875b1be44a7",
          "body": "Novita returns a cumulative usage snapshot on every streamed chunk, so the\nbase OpenAI streaming loop reports usage — a MetricsFrame and a debug log\nline — once per chunk, and anything summing those frames counts a single\nturn dozens of times over.\n\nCollapse the per-chunk counts into one total reported at the end of\nprocessing, as the Baseten service does.",
          "is_bot": false,
          "headline": "fix(novita): report token usage once per completion",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:34:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ed00b4c9e4cbbc0cf9a461b282fe091d7b65ad7d",
          "body": "…text\n\nPreserve Anthropic thinking blocks that carry no thought text",
          "is_bot": false,
          "headline": "Merge pull request #5183 from pipecat-ai/mb/anthropic-empty-thinking-…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T15:24:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e54e421b41d75fb56ac7b64356d582694f7f1d1",
          "body": null,
          "is_bot": false,
          "headline": "Merge pull request #5189 from pipecat-ai/mb/test-env-isolation",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T14:59:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6d7e7c5c99894b63f80a87b6e0a2d919c9aa40b4",
          "body": "pytest imports every test module while collecting, so a module calling\nload_dotenv() at import scope loads the repository's .env into os.environ\nbefore the first test runs. Tests then see whichever variables a developer\nhappens to have configured, and diverge from CI, which has no .env.\n\n`KrispVivaI\n[…]\nsince collecting that file alone imports nothing that\nloads dotenv.\n\nconftest.py stubs load_dotenv for the session, and that test clears the\nenvironment around the construction so it holds either way.",
          "is_bot": false,
          "headline": "Isolate the test suite from a local .env file",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T14:36:19Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "f8d8679a5cbbc1533862227641886b6e24e0134a",
          "body": "…ategy-discard\n\nfix(user_mute): tolerate double / orphan function-call result frames",
          "is_bot": false,
          "headline": "Merge pull request #4824 from Maurotb/fix/function-call-user-mute-str…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:58:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0fa67163ea1eba84b0248563436404416fb50855",
          "body": "…tegy\n\nFunctionCallUserMuteStrategy receives result and cancel frames for tool\ncall ids it never tracked: the built-in cancel_async_tool_call is\nexcluded from FunctionCallsStartedFrame yet still emits a result, and\nasync tools emit a result frame per intermediate update. Cover both\nagainst a real LLMService and at the strategy level, including an\nuntracked id arriving while another call is still running, and name\nthose paths in the comment and changelog.",
          "is_bot": false,
          "headline": "test(user_mute): cover untracked tool call ids reaching the mute stra…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:53:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "497f15502d1e2fec46d98db3cd6c8267ebd75818",
          "body": "``FunctionCallUserMuteStrategy.process_frame`` removed the tool_call_id\nfrom its ``_function_call_in_progress`` set via ``set.remove`` on every\n``FunctionCallResultFrame`` / ``FunctionCallCancelFrame``. That raises\n``KeyError`` if the id is absent — which happens in two real scenarios:\n\n1. **Multi-w\n[…]\ned + result +\n  result (second must not raise).\n- ``test_tolerates_orphan_cancel_frame``: cancel with no prior start\n  must not raise.\n\nBoth fail on ``main`` with ``KeyError``; both pass with the fix.",
          "is_bot": false,
          "headline": "fix(user_mute): tolerate double / orphan function-call result frames",
          "author_name": "root",
          "author_login": "Maurotb",
          "committed_at": "2026-08-01T13:53:03Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "283870798b2fb0801fbcdc8bfe201d5cb637f83e",
          "body": "…rics\n\nfeat(aws-nova-sonic): report LLM token usage metrics",
          "is_bot": false,
          "headline": "Merge pull request #4783 from ANGdesarrollo/feat/nova-sonic-usage-met…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:35:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "660792928fde72c4d1db6a851d95e1daa069e522",
          "body": "…-error-4724\n\nfix: AWSBedrockLLMAdapter raises UnboundLocalError for image-before-text content (#4724)",
          "is_bot": false,
          "headline": "Merge pull request #4796 from singlaamitesh/fix/bedrock-unbound-local…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:35:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3b402749bc2dd6001812938f900e2b1325151366",
          "body": "The Nova Sonic tests guard their import with pytest.importorskip, so\nwithout aws_sdk_bedrock_runtime installed they skip rather than run.",
          "is_bot": false,
          "headline": "ci: install the aws-nova-sonic extra for tests and coverage",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:24:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5cc95ebb983e4c041f9e89199b2a1c0c0f577363",
          "body": null,
          "is_bot": false,
          "headline": "chore(changelog): cover Nova Sonic token usage metrics",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:24:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a13b710e327384b4d380c6e3ba38ab4bf6f5328a",
          "body": null,
          "is_bot": false,
          "headline": "chore(changelog): name the Bedrock image-order fragment after its PR",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T13:22:55Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "88b933ce78aa13467be7b3c0a5402a99900b34b0",
          "body": "The `insert` that moves a single image before text in a content list was\noutside the `if img_idx > first_txt_idx:` guard that assigns `image_item`.\nWhen the image already appeared first the guard body was skipped, leaving\n`image_item` unassigned, and the subsequent `insert` raised\n`UnboundLocalError\n[…]\needed. Adds two regression tests: one for image-first (the crash\ncase) and one for text-first (the existing reorder behaviour).\n\nFixes #4724.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: AWSBedrockLLMAdapter UnboundLocalError on image-before-text content",
          "author_name": "singlaamitesh",
          "author_login": "singlaamitesh",
          "committed_at": "2026-08-01T13:22:55Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c7dd96820e0f6e6de06d1b627ca8b04683c7891a",
          "body": "fix(aws): capture all tool calls in Bedrock streaming responses",
          "is_bot": false,
          "headline": "Merge pull request #4918 from anxkhn/loop/pipecat__003",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T12:20:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5a401551c3d0a9bd94933b9d1f86fb06c9805555",
          "body": "Fragments are keyed by PR number: towncrier's issue_format links each one\nto /pull/{issue}.",
          "is_bot": false,
          "headline": "chore(changelog): name the Bedrock tool call fragment after its PR",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T12:14:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6453b6db220bd13dbb2623cfba53bbf1a3bcc507",
          "body": "fix(asyncio): track TaskManager tasks by object, not name",
          "is_bot": false,
          "headline": "Merge pull request #5025 from anxkhn/patch-13",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T12:11:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3a44ab8f288524ecfa95c7b6ecf03090d420a55f",
          "body": "TaskManager kept its task registry in a dict keyed by task name. Task\nnames are not unique: BaseObject.create_task derives the name from the\ncoroutine's co_name when none is given, so several concurrently running\ntasks on the same object can share a name (for example the parallel\nfunction-call tasks\n[…]\nnstead, which is unique per task.\nAdd a regression test asserting two overlapping same-named tasks are both\ntracked while they run.\n\nSigned-off-by: Anas Khan <83116240+anxkhn@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix(asyncio): track TaskManager tasks by object, not name",
          "author_name": "Anas Khan",
          "author_login": "anxkhn",
          "committed_at": "2026-08-01T12:05:19Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "66a988ea7436d33e84d854545e4f56cf1e368715",
          "body": "fix(dtmf): key cached DTMF audio by sample rate, not just button",
          "is_bot": false,
          "headline": "Merge pull request #4766 from he-yufeng/fix/dtmf-cache-sample-rate",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T11:43:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "84cdaf721c149f39b099d7a144d3c6fb14745167",
          "body": "fix(cli): include video extras in generated projects",
          "is_bot": false,
          "headline": "Merge pull request #5031 from ShiroKSH/fix/video-service-scaffold-extras",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T04:40:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2dfcbb0fd902cd171610f2a8ed12f0f0273b6060",
          "body": null,
          "is_bot": false,
          "headline": "Cover the video extras fix in the changelog",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T04:33:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a44b82f1a25f6a915ca73bc87b72061f2b620fee",
          "body": "feat(openai): add http_client parameter to OpenAI TTS and Whisper-based STT services",
          "is_bot": false,
          "headline": "Merge pull request #4941 from scttbnsn/fix/openai-http-client",
          "author_name": "Scott Benson",
          "author_login": "scttbnsn",
          "committed_at": "2026-08-01T04:22:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f43755f54dab2276312c0687cd3476a17ae8fdc0",
          "body": "fix(sambanova): correct _process_context return annotation",
          "is_bot": false,
          "headline": "Merge pull request #4984 from anxkhn/patch-9",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:37:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3ebe8dd5fe09d9bae252a34ad5ebb5da27955205",
          "body": "fix(currency): stop leaking 3rd+ fractional digits onto the cents word",
          "is_bot": false,
          "headline": "Merge pull request #4969 from anxkhn/patch-10",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:36:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f84c8146abc33c5073f8f44198b34815957e32ae",
          "body": "…ter-background-audio\n\nAdd filter_background_audio option to ElevenLabs Realtime STT",
          "is_bot": false,
          "headline": "Merge pull request #5003 from akash-dutta-dev/elevenlabs-realtime-fil…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:25:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9a238ffcab31a166eb3476c7f24abb6f5a58a8f",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:24:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "727d0845a7a6687becd7f1fd33b4b8484206e429",
          "body": "Anthropic requires thinking blocks to be passed back unmodified within a\ntool-use turn. The signature is what makes a block valid: it carries the\nencrypted reasoning the API decrypts when the block returns. Models that\ndefault to `display: \"omitted\"` return blocks whose thought text is empty,\nso conversion gates on the signature alone and round-trips the empty text.\n\nA thought carrying no signature has no valid thinking-block form and is\nskipped during conversion.",
          "is_bot": false,
          "headline": "Preserve Anthropic thinking blocks that carry no thought text",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:24:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3d64e6a8bbd438d112c0a69494e30b16bc386b90",
          "body": "The realtime STT connection tests pin that the flag reaches the query\nstring under the manual commit strategy, since background filtering is\nnot scoped to VAD the way the VAD tuning params are, and that an unset\nflag is omitted entirely.",
          "is_bot": false,
          "headline": "Cover filter_background_audio in tests and the changelog",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:18:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b764e23a8da557e74ac5496dfeafb5b9f9043b83",
          "body": "Exposes ElevenLabs' server-side filter_background_audio flag (already echoed in the session_started config) on the realtime STT WebSocket. When set, it is appended to the connection query string, independent of commit strategy, so ElevenLabs suppresses background/far-end audio. This reduces spurious/hallucinated transcripts on noisy telephony audio.\n\nSigned-off-by: Akash Dutta <akash.dutta9830489799@gmail.com>",
          "is_bot": false,
          "headline": "Add filter_background_audio option to ElevenLabs Realtime STT",
          "author_name": "Akash Dutta",
          "author_login": "akash-dutta-dev",
          "committed_at": "2026-08-01T03:17:22Z",
          "body_truncated": false,
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        },
        {
          "oid": "5f3ce0e9f40917a91fa9cbd5b0294fd57e3b2f6e",
          "body": "…tation\n\nfix: avoid mutating developer roles in LLM context",
          "is_bot": false,
          "headline": "Merge pull request #5027 from C0deRatoR/fix/openai-adapter-context-mu…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:10:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "987d13092534b3b51558357cf16efdcfcd56e14a",
          "body": "Unpacking a message dict to rewrite its role produces a plain dict, which\ndoesn't satisfy the ChatCompletionMessageParam TypedDict union, so the\nrewritten message is cast back the way the rest of the adapter casts at\nthe LLMContext/OpenAI boundary.",
          "is_bot": false,
          "headline": "Type the developer-to-user conversion at the OpenAI boundary",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T03:04:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d475af419970f535c098f7c8bfee6142c94d85aa",
          "body": "The entry described the adapter-level mutation without naming the\nservices it affects or the symptom a user would notice.",
          "is_bot": false,
          "headline": "Name the affected services in the developer-role changelog entry",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:50:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d9750c2d90572efbe993aec0c8b1f0500f7e5ce4",
          "body": "Adapters that pass the system instruction as a separate parameter convert\na single initial system message to \"user\" rather than extracting it, so\nthe provider isn't sent an empty conversation history. The message dicts\nhanded to `_extract_initial_system` are shared with the LLMContext, so\nthe converted message is now a copy and the stored history keeps its\n\"system\" role.",
          "is_bot": false,
          "headline": "Keep the source context intact when converting a lone system message",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:50:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "046815402afeb8bde74187e950da214590e11239",
          "body": "Add opt-in force_locale setting to Azure TTS services",
          "is_bot": false,
          "headline": "Merge pull request #5154 from brunomartinez-lmi/azure-tts-force-locale",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:35:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "afd5f657890004877bfa5d3064446b797da672b5",
          "body": "…eatures\n\nfeat(smallest): add endpointing, keyword boosting, and punctuation formatting to STT",
          "is_bot": false,
          "headline": "Merge pull request #5137 from harshitajain165/harshita/smallest-stt-f…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:34:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "29b5a8f861e162ecd8e04f979c9167064d07a688",
          "body": null,
          "is_bot": false,
          "headline": "Note that forcing an unsupported locale yields no audio",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:29:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "49d6336b766ab9c35ec424e47c00a3b667641a06",
          "body": "An empty `keywords` value registers a single empty keyword on the Pulse\nWebSocket, so the parameter is sent only when keywords are configured.",
          "is_bot": false,
          "headline": "fix(smallest): omit empty keywords query param",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:28:16Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b625ce5a3bcc0c3732af0739a0d7717994c5c6e",
          "body": "…rose",
          "is_bot": false,
          "headline": "Sort force_locale alphabetically and drop change-narrative from its p…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:26:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d64ff7cbb40f5c6548f3dd75102cdf57a3be61f4",
          "body": "Keyterm boosting support for Cartesia STT services",
          "is_bot": false,
          "headline": "Merge pull request #5168 from dkigel-asapp/dk/cartesia_stt_keyterms",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:26:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1b0f945e413183e1f94e6d88808df46f77c9041c",
          "body": null,
          "is_bot": false,
          "headline": "State the keyterm truncation constraint without the rejected alternative",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:17:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "82a076c18ae26faec54b037aa89ab9045bcd2209",
          "body": "ink-2 is Cartesia's current streaming STT model and the only one that\nhonors keyterms. It is English-only, so ink-whisper remains the service\ndefault.",
          "is_bot": false,
          "headline": "Use ink-2 in the Cartesia voice example",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:14:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "74afaf403b2ac177c299f772686ce21cda466bd6",
          "body": "This is the version that supports keyterms and returns structured JSON\nerrors, and the one CartesiaTTSService and CartesiaTurnsSTTService\nalready use.",
          "is_bot": false,
          "headline": "Connect Cartesia STT with API version 2026-03-01",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T02:06:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c51a1f51b7ef26e5b0e83436bcbfd7064c3a3622",
          "body": "Cartesia expects spaces inside a keyterm as %20, so build the connection\nURL with quote_via=quote rather than the default quote_plus. Clamp the\nlist to the 100 keyterms / 1200 characters a connection accepts, and send\nkeyterms only for ink-2 models, the only family that honors them.\n\nKeyterms are bound to a connection, so a keyterm update on\nCartesiaTurnsSTTService now reconnects instead of being reported as\nunhandled.",
          "is_bot": false,
          "headline": "Enforce Cartesia's keyterm encoding, limits, and model support",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T01:47:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3c23f021244a2c1bf320a128043de7634bfda5a9",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry for PR #5168",
          "author_name": "David Kigel",
          "author_login": "dkigel-asapp",
          "committed_at": "2026-08-01T01:35:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3a883da5a77ab979b5170e9c705b00144b3fc4c5",
          "body": null,
          "is_bot": false,
          "headline": "Cartesia STT keyterm support",
          "author_name": "David Kigel",
          "author_login": "dkigel-asapp",
          "committed_at": "2026-08-01T01:35:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2099bcce31d460db25e948ab8fb4c441b0de5724",
          "body": "…altime-default\n\nfeat(transports): default Tavus audio output to faster than realtime",
          "is_bot": false,
          "headline": "Merge pull request #5162 from bpanahij/tavus-audio-out-faster-than-re…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T01:18:55Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1802bfd933624d81a41209a8d13a4b4ed2bcca8c",
          "body": null,
          "is_bot": false,
          "headline": "Update changelog for 5162.changed.md",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T01:08:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "019c7dcb4d2d541aa87271f1a9ca6b5211172d0d",
          "body": "…mports\n\nStrip unused imports on commit",
          "is_bot": false,
          "headline": "Merge pull request #5181 from pipecat-ai/pk/precommit-remove-unused-i…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-08-01T00:55:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "834cc7c1be384262badb4610f5ef6ac7a2191f8b",
          "body": null,
          "is_bot": false,
          "headline": "Strip unused imports on commit",
          "author_name": "Paul Kompfner",
          "author_login": "kompfner",
          "committed_at": "2026-07-31T22:48:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1540c31e01454cbc89d7cbc50c670f660bb94ee8",
          "body": null,
          "is_bot": false,
          "headline": "Merge pull request #5129 from dlange-aai/aai/assemblyai-language-codes",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T22:36:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9c42e97e9ebb94856bcf454fc8c5e320f8b3bc53",
          "body": null,
          "is_bot": false,
          "headline": "Drop change-narrative from an AssemblyAI test comment",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:54:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "70cad785caed9dec4322abdf8ce9731996dfcf25",
          "body": "Declared-language steering is prompt-based, so only the U3 Pro family\naccepts it. The setting is no longer sent as a connect-time query\nparameter for other models, including universal-streaming-multilingual,\nwhich transcribes multilingual audio without steering.\n\nThe singular language_code remains a supported name for the same server\nparameter; language_codes is the one to prefer.",
          "is_bot": false,
          "headline": "Gate AssemblyAI language_codes on U3 Pro models",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:52:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "29c21359d95f9cbd53e4d9ac849386d016016296",
          "body": "AssemblyAI rejects a declared-language list longer than 10 codes, and a\nrejected UpdateConfiguration closes the session rather than being ignored.\nA list that reached the stored settings would fail every later reconnect\ntoo, since the connect-time URL is rebuilt from them.\n\nCheck the delta before it is applied and drop the field with a warning, so\nan over-long runtime update leaves the current steering in place. The cap\nnow lives in _prepare_language_codes, covering every caller.",
          "is_bot": false,
          "headline": "Enforce the AssemblyAI language_codes cap on runtime updates",
          "author_name": "David Lange",
          "author_login": "dlange-aai",
          "committed_at": "2026-07-31T21:52:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1ed0f51433d3d5b7647f4be180cb1c6dc6a4bce4",
          "body": "AssemblyAI's streaming models support 18 languages, and Urdu is not among\nthem.",
          "is_bot": false,
          "headline": "Drop Urdu from AssemblyAI's supported languages",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:52:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "52326177cdccdc6e7323f938753f8b13efcc4413",
          "body": "Declared languages are `Language` enums rather than raw ISO strings,\nmatching how every other STT service that accepts a language list is\nconfigured. `language_to_assemblyai_language()` resolves them to the base\ncodes AssemblyAI declares, collapsing regional variants while preserving\ndeclaration ord\n[…]\ns checked after resolution, since that is the list\nthe server sees. `\"multi\"` has no `Language` equivalent, so fully\nmultilingual transcription goes through\n`model=\"universal-streaming-multilingual\"`.",
          "is_bot": false,
          "headline": "Take Language enums in AssemblyAI language_codes",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:52:14Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6d2de6f2eccc88c386ef5f336f49fcb4800ca434",
          "body": null,
          "is_bot": false,
          "headline": "Rename changelog fragment to PR number (5129)",
          "author_name": "David Lange",
          "author_login": "dlange-aai",
          "committed_at": "2026-07-31T21:52:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9641c9e6341b8d0f395599205342a4d2242ec1cb",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog entry for the language_codes setting",
          "author_name": "David Lange",
          "author_login": "dlange-aai",
          "committed_at": "2026-07-31T21:52:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "269e6b4556185193ed4c499b40dd4746b6fa2681",
          "body": "AssemblyAI's declared-language parameter is list-valued and supersedes the\nsingular language_code, which it is bound in preference to when both are set.\nA single code pins transcription to that language; several steer toward that\nsubset while keeping code-switching among them.\n\nSteering is prompt-ba\n[…]\n all. The declared list is checked\nagainst the 10-code limit and the rule that \"multi\" stands alone; which codes\nare accepted is left to the server, so a newly supported language needs no\nchange here.",
          "is_bot": false,
          "headline": "Add language_codes setting to AssemblyAISTTService",
          "author_name": "David Lange",
          "author_login": "dlange-aai",
          "committed_at": "2026-07-31T21:52:13Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "80473e44717229333eb731ff1c100b1bb2c60b2d",
          "body": "Default Baseten LLM to Kimi K2.6",
          "is_bot": false,
          "headline": "Merge pull request #5178 from pipecat-ai/mb/baseten-kimi-2.6",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:42:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "719bff644305bae2d53d6d1985c4cf5eb03d7191",
          "body": null,
          "is_bot": false,
          "headline": "Add changelog fragment for PR #5178",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:36:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "25aabcf6f61fae7ef7ce26183d9c2bc360725d5d",
          "body": null,
          "is_bot": false,
          "headline": "Default Baseten LLM to Kimi K2.6",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:33:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "83126de5722c25e53be703fa8004573d0434d361",
          "body": "Default Sarvam LLM to sarvam-105b",
          "is_bot": false,
          "headline": "Merge pull request #5177 from pipecat-ai/pk/sarvam-llm-105b",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:06:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "249abd346cd5cf7867a278ac5a0224fa5b3a6735",
          "body": "Keep live VAD state across user turn boundaries",
          "is_bot": false,
          "headline": "Merge pull request #5159 from pipecat-ai/mb/turn-analyzer-vad-state",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T21:06:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3c583d8ac642e198360c0eadb72bdb47b4157bb1",
          "body": null,
          "is_bot": false,
          "headline": "Renumber changelog fragment to PR #5177",
          "author_name": "Paul Kompfner",
          "author_login": "kompfner",
          "committed_at": "2026-07-31T20:59:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8a447c5347152fc919c5d6a4b5c9571ecd39fd68",
          "body": "Sarvam has retired every chat model except sarvam-105b. Requests naming\nsarvam-30b or the fixed-context sarvam-30b-16k / sarvam-105b-32k variants\ncome back as a 400 pointing at sarvam-105b as the replacement.\n\nDefault to sarvam-105b and drop the retired ids from the supported set, so\npicking an unusable model fails at construction rather than on the first\ninference.",
          "is_bot": false,
          "headline": "Default Sarvam LLM to sarvam-105b",
          "author_name": "Paul Kompfner",
          "author_login": "kompfner",
          "committed_at": "2026-07-31T20:59:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1d4a0bd207f25a73f8e8947f86106814bb47b2a4",
          "body": null,
          "is_bot": false,
          "headline": "docs(turns): tighten comments and docstrings around VAD turn state",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:53:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "92cd51e0acb099caeae406fa9ee46e7421154588",
          "body": "The turn boundaries and a VAD start clear the same end-of-turn progress:\nthe transcript and wait flags, plus the pending timers.",
          "is_bot": false,
          "headline": "refactor(turns): extract _discard_pending_end_of_turn in SpeechTimeout",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:50:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5e5dd4014c66829650e59d3653d0de39967eebaf",
          "body": "SpeechTimeoutUserTurnStopStrategy only asks whether this turn saw a VAD\nstop; the timestamp it stored was never read.",
          "is_bot": false,
          "headline": "refactor(turns): make the VAD stop marker a boolean in SpeechTimeout",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:50:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bd7541c247fd25f990a9e77a037cca4d0d9ef236",
          "body": "TurnAnalyzerUserTurnStopStrategy only asks whether this turn saw a VAD\nstop; the timestamp it stored was never read.",
          "is_bot": false,
          "headline": "refactor(turns): make the VAD stop marker a boolean",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:50:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1ab376820b0ed07f17aa9f87063dc95bd685e9b5",
          "body": "Both turn boundaries and a VAD start clear it, and both already route\nthrough _discard_pending_end_of_turn.",
          "is_bot": false,
          "headline": "refactor(turns): fold _vad_stopped_time clearing into the shared helper",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:50:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0589ab4c5d722a80ca51058100532c985bf53885",
          "body": "TurnAnalyzerUserTurnStopStrategy cleared _vad_user_speaking in its\nper-turn reset, which the controller runs at both turn boundaries. VAD\nreports that flag only on transitions, so a turn started from a\ntranscript rather than from a VAD frame — MinWordsUserTurnStartStrategy,\nor TranscriptionUserTurnS\n[…]\n _discard_pending_end_of_turn.\n\nAdds integration tests over real pipeline processors covering both\nturn-start paths, a transcript-only turn after VAD has reported normally,\nand the no-VAD-signal case.",
          "is_bot": false,
          "headline": "fix(turns): keep live VAD state across user turn boundaries",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:50:46Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ada9a07ff05e83b41c6b27769f08ea659c1b32ae",
          "body": "…ix-llm-messages-append\n\nVoice completions from application-requested LLM runs",
          "is_bot": false,
          "headline": "Merge pull request #5146 from pipecat-ai/mb/filter-incomplete-turns-f…",
          "author_name": "Mark Backman",
          "author_login": "markbackman",
          "committed_at": "2026-07-31T20:40:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 92,
        "weight": 0.19,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "exceptional",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "11 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
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                      "count": 11
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                "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": "eslint.config.js, eslint.config.mjs",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                ],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "8 out of 8 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "ai",
                "real-time",
                "voice",
                "voice-assistant",
                "chatbot-framework",
                "chatbots"
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              "has_wiki": false,
              "homepage": "https://pipecat.ai",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
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                "points": 30,
                "status": "met",
                "details": [],
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              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
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              },
              {
                "key": "documentation_homepage_site",
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                "status": "met",
                "details": [],
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              },
              {
                "key": "repository_description",
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                "status": "met",
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              },
              {
                "key": "topics",
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                "detail": "6 topics",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "topics_count",
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                      "count": 6
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
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              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 64,
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              "source": "openssf_scorecard",
              "checks_evaluated": 16,
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              "checks_inconclusive": 2,
              "scorecard_aggregate": 6.4
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            "components": [
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                "key": "binary_artifacts",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
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                "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": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 13 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "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": "30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pipecat-ai@1.7.0 runtime dependency closure — what installing the published package pulls in — 52 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:pipecat-ai@1.7.0",
                  "assessed": 52
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              },
              {
                "code": "advisories_reachability",
                "params": {}
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            ],
            "value": 100,
            "inputs": {
              "source": "osv",
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              "affected_packages": 0,
              "assessed_packages": 52,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
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                    "code": "no_direct_advisories",
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                ],
                "max_points": 35
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              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
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                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 52,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
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                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "commit_weight_rule": {
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                "min_commit_share": 0.1
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              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 8
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
        "band": "excellent",
        "name": "AI Readiness",
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        "weight": 0.04,
        "metrics": [
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            "inputs": {
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              "agent_instruction_max_bytes": 29522
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                "details": [
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                    "code": "file_list",
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                ],
                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
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                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "note": null,
            "notes": [],
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            "inputs": {
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                "uv.lock"
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              "has_dockerfile": true,
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              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": 0.02,
              "toolchain_manifests": [],
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                "points": 18,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                "max_points": 18
              },
              {
                "key": "automated_tests",
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                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
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                "points": 11,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "2 of the last 100 commits agent-authored or agent-credited",
                "points": 4,
                "status": "partial",
                "details": [
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                    "code": "agent_authored_commits",
                    "params": {
                      "count": 2,
                      "sampled": 100
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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",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 146524,
              "source_files_sampled": 1199,
              "oversized_source_files": 18
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "pyrightconfig.json, src/pipecat/cli/templates/client/react-nextjs/tsconfig.json, src/pipecat/cli/templates/client/react-vite/tsconfig.json, src/pipecat/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "18/1199 source files over 60KB",
                "points": 54.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 1199,
                      "oversized": 18
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "excellent",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "example_dirs": [
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              "has_mcp_signal": false,
              "api_schema_files": [
                "src/pipecat/frames/frames.proto"
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            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "src/pipecat/frames/frames.proto",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/pipecat/frames/frames.proto"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [
        "cli",
        "library"
      ],
      "scores": {
        "cli": 10,
        "library": 6,
        "framework": 2,
        "network-service": 3
      },
      "primary": "cli",
      "evidence": [
        {
          "tier": "declared",
          "label": "cli",
          "source": "pypi.console_scripts",
          "weight": 10
        },
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "structure",
          "label": "network-service",
          "source": "api_schema",
          "weight": 3
        },
        {
          "tier": "description",
          "label": "framework",
          "source": "description:framework",
          "weight": 2
        }
      ],
      "artifacts": [
        {
          "path": "pyproject.toml",
          "labels": [
            "cli"
          ],
          "ecosystem": "pypi"
        }
      ],
      "confidence": "high",
      "host_extension": false,
      "runs_as_process": true,
      "consumed_by_code": true
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "First-time contributor figures cover 12 of 28 authors (cap 12)"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-03T07:23:18.148628Z",
  "schema_version": "0.30.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pipecat-ai/pipecat.svg",
  "full_name": "pipecat-ai/pipecat",
  "license_state": "standard",
  "license_spdx": "BSD-2-Clause"
}

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 v2.3.1, схема v0.30.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаPyPI.