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docs: update changelog and version for v1.14.2a4
This commit is contained in:
Alex (CrewAI)
committed by
Joao Moura
Joao Moura
parent
160e25c1a9
commit
31f480aac0
@@ -4,137 +4,6 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
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icon: "clock"
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mode: "wide"
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---
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<Update label="22 أبريل 2026">
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## v1.14.3a2
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[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
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## ما الذي تغير
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### الميزات
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- إضافة دعم لـ bedrock V4
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- إضافة أدوات Daytona sandbox لوظائف محسّنة
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- إضافة صفحة "البناء باستخدام الذكاء الاصطناعي" — مستندات أصلية للذكاء الاصطناعي لوكلاء البرمجة
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- إضافة "البناء باستخدام الذكاء الاصطناعي" إلى التنقل في صفحة "البدء" وملفات الصفحات لجميع اللغات (en, ko, pt-BR, ar)
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### إصلاحات الأخطاء
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- إصلاح انتشار أسماء @CrewBase الضمنية إلى أحداث الطاقم
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- حل مشكلة تكرار تهيئة الدفعات في دمج بيانات التنفيذ الوصفية
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- إصلاح تسلسل حقول مرجع فئة Task لعمليات التحقق من النقاط
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- التعامل مع نتيجة BaseModel في حلقة إعادة المحاولة للحدود
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- تحديث python-dotenv إلى الإصدار >=1.2.2 للامتثال الأمني
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### الوثائق
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- تحديث سجل التغييرات والإصدار لـ v1.14.3a1
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- تحديث الأوصاف وتطبيق الترجمات الفعلية
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## المساهمون
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@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
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</Update>
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<Update label="21 أبريل 2026">
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## v1.14.3a1
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[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
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## ما الذي تغير
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### الميزات
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- إضافة دعم نقاط التحقق والفروع لوكلاء مستقلين
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### إصلاحات الأخطاء
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- الحفاظ على thought_signature في استدعاءات أداة البث Gemini
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- إصدار task_started عند استئناف الفرع وإعادة تصميم واجهة المستخدم النصية لنقاط التحقق
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- تصحيح ترتيب التشغيل الجاف ومعالجة الفرع القديم الذي تم التحقق منه في إصدار أدوات التطوير
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- استخدام تواريخ مستقبلية في اختبارات تقليم نقاط التحقق لمنع الفشل المعتمد على الوقت (#5543)
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### الوثائق
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- تحديث سجل التغييرات والإصدار لـ v1.14.2
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## المساهمون
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@alex-clawd, @greysonlalonde
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</Update>
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<Update label="17 أبريل 2026">
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## v1.14.2
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[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2)
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## ما الذي تغير
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### الميزات
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- إضافة أوامر استئناف النقاط التفتيش، والاختلاف، والتنظيف مع تحسين إمكانية الاكتشاف.
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- إضافة معلمة `from_checkpoint` إلى `Agent.kickoff` والطرق ذات الصلة.
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- إضافة أوامر إدارة القوالب لقوالب المشاريع.
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- إضافة تلميحات استئناف إلى إصدار أدوات المطور عند الفشل.
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- إضافة واجهة سطر الأوامر للتحقق من النشر وتعزيز سهولة استخدام تهيئة LLM.
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- إضافة تقسيم النقاط التفتيشية مع تتبع النسب.
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- إثراء تتبع رموز LLM مع رموز الاستدلال ورموز إنشاء التخزين المؤقت.
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### إصلاحات الأخطاء
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- إصلاح المطالبة بشأن تعارضات الفروع القديمة في إصدار أدوات المطور.
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- تصحيح الثغرات في `authlib` و `langchain-text-splitters` و `pypdf`.
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- تحديد نطاق معالجات البث لمنع تلوث أجزاء التشغيل المتقاطعة.
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- إرسال نقاط التفتيش عبر واجهات Flow في TUI.
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- استخدام نمط البحث المتكرر لاكتشاف نقاط التفتيش بتنسيق JSON.
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- التعامل مع مخططات JSON الدائرية في أداة حل MCP.
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- الحفاظ على معلمات استدعاء أداة Bedrock من خلال إزالة القيمة الافتراضية الصحيحة.
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- إصدار حدث flow_finished بعد استئناف HITL.
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- إصلاح ثغرات متنوعة من خلال تحديث التبعيات، بما في ذلك `requests` و `cryptography` و `pytest`.
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- إصلاح لإيقاف تمرير وضع صارم إلى واجهة برمجة التطبيقات Bedrock Converse.
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### الوثائق
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- توثيق المعلمات المفقودة وإضافة قسم النقاط التفتيشية.
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- تحديث سجل التغييرات والإصدار للإصدار v1.14.2 ومرشحي الإصدار السابقين.
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- إضافة توثيق ميزة A2A الخاصة بالشركات وتحديث وثائق A2A المفتوحة المصدر.
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## المساهمون
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@Yanhu007، @alex-clawd، @github-actions[bot]، @greysonlalonde، @iris-clawd، @lorenzejay، @lucasgomide
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</Update>
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<Update label="16 أبريل 2026">
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## v1.14.2rc1
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[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2rc1)
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## ما الذي تغير
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### إصلاحات الأخطاء
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- إصلاح معالجة مخططات JSON الدائرية في أداة MCP
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- إصلاح ثغرة أمنية من خلال تحديث python-multipart إلى 0.0.26
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- إصلاح ثغرة أمنية من خلال تحديث pypdf إلى 6.10.1
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### الوثائق
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- تحديث سجل التغييرات والإصدار لـ v1.14.2a5
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## المساهمون
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@greysonlalonde
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</Update>
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<Update label="15 أبريل 2026">
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## v1.14.2a5
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[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a5)
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## ما الذي تغير
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### الوثائق
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- تحديث سجل التغييرات والإصدار لـ v1.14.2a4
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## المساهمون
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@greysonlalonde
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</Update>
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<Update label="15 أبريل 2026">
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## v1.14.2a4
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@@ -4,137 +4,6 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
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icon: "clock"
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mode: "wide"
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---
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<Update label="Apr 22, 2026">
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## v1.14.3a2
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[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
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## What's Changed
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### Features
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- Add support for bedrock V4
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- Add Daytona sandbox tools for enhanced functionality
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- Add 'Build with AI' page — AI-native docs for coding agents
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- Add Build with AI to Get Started navigation and page files for all languages (en, ko, pt-BR, ar)
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### Bug Fixes
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- Fix propagation of implicit @CrewBase names to crew events
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- Resolve issue with duplicate batch initialization in execution metadata merge
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- Fix serialization of Task class-reference fields for checkpointing
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- Handle BaseModel result in guardrail retry loop
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- Bump python-dotenv to version >=1.2.2 for security compliance
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### Documentation
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- Update changelog and version for v1.14.3a1
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- Update descriptions and apply actual translations
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## Contributors
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@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
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</Update>
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<Update label="Apr 21, 2026">
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## v1.14.3a1
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[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
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## What's Changed
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### Features
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- Add checkpoint and fork support to standalone agents
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### Bug Fixes
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- Preserve thought_signature in Gemini streaming tool calls
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- Emit task_started on fork resume and redesign checkpoint TUI
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- Correct dry-run order and handle checked-out stale branch in devtools release
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- Use future dates in checkpoint prune tests to prevent time-dependent failures (#5543)
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### Documentation
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- Update changelog and version for v1.14.2
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## Contributors
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@alex-clawd, @greysonlalonde
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</Update>
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<Update label="Apr 17, 2026">
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## v1.14.2
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[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2)
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## What's Changed
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### Features
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- Add checkpoint resume, diff, and prune commands with improved discoverability.
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- Add `from_checkpoint` parameter to `Agent.kickoff` and related methods.
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- Add template management commands for project templates.
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- Add resume hints to devtools release on failure.
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- Add deploy validation CLI and enhance LLM initialization ergonomics.
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- Add checkpoint forking with lineage tracking.
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- Enrich LLM token tracking with reasoning tokens and cache creation tokens.
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### Bug Fixes
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- Fix prompt on stale branch conflicts in devtools release.
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- Patch vulnerabilities in `authlib`, `langchain-text-splitters`, and `pypdf`.
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- Scope streaming handlers to prevent cross-run chunk contamination.
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- Dispatch Flow checkpoints through Flow APIs in TUI.
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- Use recursive glob for JSON checkpoint discovery.
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- Handle cyclic JSON schemas in MCP tool resolution.
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- Preserve Bedrock tool call arguments by removing truthy default.
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- Emit flow_finished event after HITL resume.
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- Fix various vulnerabilities by updating dependencies, including `requests`, `cryptography`, and `pytest`.
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- Fix to stop forwarding strict mode to Bedrock Converse API.
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### Documentation
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- Document missing parameters and add Checkpointing section.
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- Update changelog and version for v1.14.2 and previous release candidates.
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- Add enterprise A2A feature documentation and update OSS A2A docs.
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## Contributors
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@Yanhu007, @alex-clawd, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @lucasgomide
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</Update>
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<Update label="Apr 16, 2026">
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## v1.14.2rc1
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[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2rc1)
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## What's Changed
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### Bug Fixes
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- Fix handling of cyclic JSON schemas in MCP tool resolution
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- Fix vulnerability by bumping python-multipart to 0.0.26
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- Fix vulnerability by bumping pypdf to 6.10.1
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### Documentation
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- Update changelog and version for v1.14.2a5
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## Contributors
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@greysonlalonde
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</Update>
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<Update label="Apr 15, 2026">
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## v1.14.2a5
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[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a5)
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## What's Changed
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### Documentation
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- Update changelog and version for v1.14.2a4
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## Contributors
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@greysonlalonde
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</Update>
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<Update label="Apr 15, 2026">
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## v1.14.2a4
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@@ -4,137 +4,6 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
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icon: "clock"
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mode: "wide"
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---
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<Update label="2026년 4월 22일">
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## v1.14.3a2
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[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
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## 변경 사항
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### 기능
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- 베드록 V4 지원 추가
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- 향상된 기능을 위한 데이토나 샌드박스 도구 추가
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- 'AI와 함께 빌드' 페이지 추가 — 코딩 에이전트를 위한 AI 네이티브 문서
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- 모든 언어(en, ko, pt-BR, ar)에 대한 시작하기 탐색 및 페이지 파일에 AI와 함께 빌드 추가
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### 버그 수정
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- 크루 이벤트에 대한 암묵적 @CrewBase 이름 전파 수정
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- 실행 메타데이터 병합에서 중복 배치 초기화 문제 해결
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- 체크포인트를 위한 Task 클래스 참조 필드 직렬화 수정
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- 가드레일 재시도 루프에서 BaseModel 결과 처리
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- 보안 준수를 위해 python-dotenv를 버전 >=1.2.2로 업데이트
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### 문서
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- v1.14.3a1에 대한 변경 로그 및 버전 업데이트
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- 설명 업데이트 및 실제 번역 적용
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## 기여자
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@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
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</Update>
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<Update label="2026년 4월 21일">
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## v1.14.3a1
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[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
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## 변경 사항
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### 기능
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- 독립형 에이전트에 체크포인트 및 포크 지원 추가
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### 버그 수정
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- Gemini 스트리밍 도구 호출에서 thought_signature 보존
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- 포크 재개 시 task_started 방출 및 체크포인트 TUI 재설계
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- dry-run 순서 수정 및 devtools 릴리스에서 체크아웃된 오래된 브랜치 처리
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- 체크포인트 가지치기 테스트에서 미래 날짜 사용하여 시간 의존성 실패 방지 (#5543)
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### 문서
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- v1.14.2에 대한 변경 로그 및 버전 업데이트
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## 기여자
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|
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@alex-clawd, @greysonlalonde
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</Update>
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<Update label="2026년 4월 17일">
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## v1.14.2
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[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2)
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## 변경 사항
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### 기능
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- 체크포인트 재개, 차이(diff), 및 가지치기(prune) 명령을 추가하여 가시성을 개선했습니다.
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- `Agent.kickoff` 및 관련 메서드에 `from_checkpoint` 매개변수를 추가했습니다.
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- 프로젝트 템플릿을 위한 템플릿 관리 명령을 추가했습니다.
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- 실패 시 개발 도구 릴리스에 재개 힌트를 추가했습니다.
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- 배포 검증 CLI를 추가하고 LLM 초기화의 사용 편의성을 향상시켰습니다.
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- 계보 추적이 가능한 체크포인트 포킹을 추가했습니다.
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- 추론 토큰 및 캐시 생성 토큰으로 LLM 토큰 추적을 풍부하게 했습니다.
|
||||
|
||||
### 버그 수정
|
||||
- 개발 도구 릴리스에서 오래된 브랜치 충돌에 대한 프롬프트를 수정했습니다.
|
||||
- `authlib`, `langchain-text-splitters`, 및 `pypdf`의 취약점을 패치했습니다.
|
||||
- 스트리밍 핸들러의 범위를 설정하여 교차 실행 청크 오염을 방지했습니다.
|
||||
- TUI에서 Flow API를 통해 Flow 체크포인트를 전송했습니다.
|
||||
- JSON 체크포인트 발견을 위해 재귀적 글로브를 사용했습니다.
|
||||
- MCP 도구 해상도에서 순환 JSON 스키마를 처리했습니다.
|
||||
- 진리값이 있는 기본값을 제거하여 Bedrock 도구 호출 인수를 보존했습니다.
|
||||
- HITL 재개 후 flow_finished 이벤트를 발생시켰습니다.
|
||||
- `requests`, `cryptography`, 및 `pytest`를 포함한 종속성을 업데이트하여 다양한 취약점을 수정했습니다.
|
||||
- Bedrock Converse API에 엄격 모드를 전달하지 않도록 수정했습니다.
|
||||
|
||||
### 문서
|
||||
- 누락된 매개변수를 문서화하고 체크포인팅 섹션을 추가했습니다.
|
||||
- v1.14.2 및 이전 릴리스 후보에 대한 변경 로그 및 버전을 업데이트했습니다.
|
||||
- 기업 A2A 기능 문서를 추가하고 OSS A2A 문서를 업데이트했습니다.
|
||||
|
||||
## 기여자
|
||||
|
||||
@Yanhu007, @alex-clawd, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @lucasgomide
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 4월 16일">
|
||||
## v1.14.2rc1
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2rc1)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 버그 수정
|
||||
- MCP 도구 해상도에서 순환 JSON 스키마 처리 수정
|
||||
- python-multipart를 0.0.26으로 업데이트하여 취약점 수정
|
||||
- pypdf를 6.10.1로 업데이트하여 취약점 수정
|
||||
|
||||
### 문서
|
||||
- v1.14.2a5에 대한 변경 로그 및 버전 업데이트
|
||||
|
||||
## 기여자
|
||||
|
||||
@greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 4월 15일">
|
||||
## v1.14.2a5
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a5)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 문서
|
||||
- v1.14.2a4의 변경 로그 및 버전 업데이트
|
||||
|
||||
## 기여자
|
||||
|
||||
@greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 4월 15일">
|
||||
## v1.14.2a4
|
||||
|
||||
|
||||
@@ -4,137 +4,6 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="22 abr 2026">
|
||||
## v1.14.3a2
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
|
||||
|
||||
## O que mudou
|
||||
|
||||
### Recursos
|
||||
- Adicionar suporte para bedrock V4
|
||||
- Adicionar ferramentas de sandbox Daytona para funcionalidade aprimorada
|
||||
- Adicionar página 'Construir com IA' — documentação nativa de IA para agentes de codificação
|
||||
- Adicionar Construir com IA à navegação Começar e arquivos de página para todos os idiomas (en, ko, pt-BR, ar)
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir a propagação de nomes implícitos @CrewBase para eventos da equipe
|
||||
- Resolver problema com inicialização de lote duplicada na mesclagem de metadados de execução
|
||||
- Corrigir a serialização de campos de referência de classe Task para checkpointing
|
||||
- Lidar com o resultado BaseModel no loop de repetição de guardrail
|
||||
- Atualizar python-dotenv para a versão >=1.2.2 para conformidade de segurança
|
||||
|
||||
### Documentação
|
||||
- Atualizar changelog e versão para v1.14.3a1
|
||||
- Atualizar descrições e aplicar traduções reais
|
||||
|
||||
## Contributors
|
||||
|
||||
@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="21 abr 2026">
|
||||
## v1.14.3a1
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Funcionalidades
|
||||
- Adicionar suporte a checkpoint e fork para agentes autônomos
|
||||
|
||||
### Correções de Bugs
|
||||
- Preservar thought_signature nas chamadas da ferramenta de streaming Gemini
|
||||
- Emitir task_started na retomada do fork e redesenhar a TUI de checkpoint
|
||||
- Corrigir a ordem do dry-run e lidar com branch desatualizada em release do devtools
|
||||
- Usar datas futuras nos testes de poda de checkpoint para evitar falhas dependentes do tempo (#5543)
|
||||
|
||||
### Documentação
|
||||
- Atualizar changelog e versão para v1.14.2
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@alex-clawd, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="17 abr 2026">
|
||||
## v1.14.2
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Recursos
|
||||
- Adicionar comandos de retomar, diferenciar e podar checkpoints com melhor descobribilidade.
|
||||
- Adicionar o parâmetro `from_checkpoint` ao `Agent.kickoff` e métodos relacionados.
|
||||
- Adicionar comandos de gerenciamento de templates para templates de projeto.
|
||||
- Adicionar dicas de retomar na liberação de devtools em caso de falha.
|
||||
- Adicionar CLI de validação de implantação e melhorar a ergonomia da inicialização do LLM.
|
||||
- Adicionar bifurcação de checkpoints com rastreamento de linhagem.
|
||||
- Enriquecer o rastreamento de tokens do LLM com tokens de raciocínio e tokens de criação de cache.
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir prompt em conflitos de branch obsoletos na liberação de devtools.
|
||||
- Corrigir vulnerabilidades em `authlib`, `langchain-text-splitters` e `pypdf`.
|
||||
- Restringir manipuladores de streaming para evitar contaminação de chunks entre execuções.
|
||||
- Despachar checkpoints de Flow através das APIs de Flow na TUI.
|
||||
- Usar glob recursivo para descoberta de checkpoints JSON.
|
||||
- Lidar com esquemas JSON cíclicos na resolução de ferramentas MCP.
|
||||
- Preservar os argumentos de chamada da ferramenta Bedrock removendo o padrão truthy.
|
||||
- Emitir evento flow_finished após retomar HITL.
|
||||
- Corrigir várias vulnerabilidades atualizando dependências, incluindo `requests`, `cryptography` e `pytest`.
|
||||
- Corrigir para parar de encaminhar o modo estrito para a API Bedrock Converse.
|
||||
|
||||
### Documentação
|
||||
- Documentar parâmetros ausentes e adicionar seção de Checkpointing.
|
||||
- Atualizar changelog e versão para v1.14.2 e candidatos a liberação anteriores.
|
||||
- Adicionar documentação da funcionalidade A2A empresarial e atualizar a documentação A2A OSS.
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@Yanhu007, @alex-clawd, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @lucasgomide
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="16 abr 2026">
|
||||
## v1.14.2rc1
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2rc1)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir o manuseio de esquemas JSON cíclicos na resolução da ferramenta MCP
|
||||
- Corrigir vulnerabilidade atualizando python-multipart para 0.0.26
|
||||
- Corrigir vulnerabilidade atualizando pypdf para 6.10.1
|
||||
|
||||
### Documentação
|
||||
- Atualizar o changelog e a versão para v1.14.2a5
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="15 abr 2026">
|
||||
## v1.14.2a5
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a5)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Documentação
|
||||
- Atualizar changelog e versão para v1.14.2a4
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="15 abr 2026">
|
||||
## v1.14.2a4
|
||||
|
||||
|
||||
@@ -94,6 +94,7 @@ google-genai = [
|
||||
]
|
||||
azure-ai-inference = [
|
||||
"azure-ai-inference~=1.0.0b9",
|
||||
"azure-identity>=1.17.0,<2",
|
||||
]
|
||||
anthropic = [
|
||||
"anthropic~=0.73.0",
|
||||
|
||||
@@ -35,6 +35,7 @@ try:
|
||||
)
|
||||
from azure.core.credentials import (
|
||||
AzureKeyCredential,
|
||||
TokenCredential,
|
||||
)
|
||||
from azure.core.exceptions import (
|
||||
HttpResponseError,
|
||||
@@ -88,6 +89,8 @@ class AzureCompletion(BaseLLM):
|
||||
response_format: type[BaseModel] | None = None
|
||||
is_openai_model: bool = False
|
||||
is_azure_openai_endpoint: bool = False
|
||||
azure_tenant_id: str | None = None
|
||||
azure_client_id: str | None = None
|
||||
|
||||
_client: Any = PrivateAttr(default=None)
|
||||
_async_client: Any = PrivateAttr(default=None)
|
||||
@@ -115,6 +118,8 @@ class AzureCompletion(BaseLLM):
|
||||
data["api_version"] = (
|
||||
data.get("api_version") or os.getenv("AZURE_API_VERSION") or "2024-06-01"
|
||||
)
|
||||
data["azure_tenant_id"] = data.get("azure_tenant_id") or os.getenv("AZURE_TENANT_ID")
|
||||
data["azure_client_id"] = data.get("azure_client_id") or os.getenv("AZURE_CLIENT_ID")
|
||||
|
||||
# Credentials and endpoint are validated lazily in `_init_clients`
|
||||
# so the LLM can be constructed before deployment env vars are set.
|
||||
@@ -183,24 +188,89 @@ class AzureCompletion(BaseLLM):
|
||||
AzureCompletion._is_azure_openai_endpoint(self.endpoint)
|
||||
)
|
||||
|
||||
if not self.api_key:
|
||||
raise ValueError(
|
||||
"Azure API key is required. Set AZURE_API_KEY environment "
|
||||
"variable or pass api_key parameter."
|
||||
)
|
||||
# Re-read identity env vars for deferred builds
|
||||
if not self.azure_tenant_id:
|
||||
self.azure_tenant_id = os.getenv("AZURE_TENANT_ID")
|
||||
if not self.azure_client_id:
|
||||
self.azure_client_id = os.getenv("AZURE_CLIENT_ID")
|
||||
|
||||
if not self.endpoint:
|
||||
raise ValueError(
|
||||
"Azure endpoint is required. Set AZURE_ENDPOINT environment "
|
||||
"variable or pass endpoint parameter."
|
||||
)
|
||||
|
||||
credential = self._resolve_credential()
|
||||
|
||||
client_kwargs: dict[str, Any] = {
|
||||
"endpoint": self.endpoint,
|
||||
"credential": AzureKeyCredential(self.api_key),
|
||||
"credential": credential,
|
||||
}
|
||||
if self.api_version:
|
||||
client_kwargs["api_version"] = self.api_version
|
||||
return client_kwargs
|
||||
|
||||
def _resolve_credential(self) -> AzureKeyCredential | TokenCredential:
|
||||
"""Resolve the Azure credential using a priority chain.
|
||||
|
||||
1. OIDC federation (WorkloadIdentityCredential) — auto-discovered
|
||||
from AZURE_FEDERATED_TOKEN_FILE + AZURE_TENANT_ID + AZURE_CLIENT_ID
|
||||
2. Client secret (ClientSecretCredential) — explicit SP credentials
|
||||
3. Default chain (DefaultAzureCredential) — Managed Identity et al.
|
||||
4. API key fallback (AzureKeyCredential) — existing path
|
||||
"""
|
||||
federated_token_file = os.getenv("AZURE_FEDERATED_TOKEN_FILE")
|
||||
client_secret = os.getenv("AZURE_CLIENT_SECRET")
|
||||
|
||||
# Path 1: OIDC Workload Identity Federation
|
||||
if federated_token_file and self.azure_tenant_id and self.azure_client_id:
|
||||
try:
|
||||
from azure.identity import WorkloadIdentityCredential
|
||||
|
||||
return WorkloadIdentityCredential(
|
||||
tenant_id=self.azure_tenant_id,
|
||||
client_id=self.azure_client_id,
|
||||
token_file_path=federated_token_file,
|
||||
)
|
||||
except ImportError:
|
||||
raise ImportError(
|
||||
"azure-identity is required for workload identity federation. "
|
||||
'Install with: uv add "crewai[azure-ai-inference]"'
|
||||
) from None
|
||||
|
||||
# Path 2: Client Secret (Service Principal)
|
||||
if client_secret and self.azure_tenant_id and self.azure_client_id:
|
||||
try:
|
||||
from azure.identity import ClientSecretCredential
|
||||
|
||||
return ClientSecretCredential(
|
||||
tenant_id=self.azure_tenant_id,
|
||||
client_id=self.azure_client_id,
|
||||
client_secret=client_secret,
|
||||
)
|
||||
except ImportError:
|
||||
raise ImportError(
|
||||
"azure-identity is required for service principal authentication. "
|
||||
'Install with: uv add "crewai[azure-ai-inference]"'
|
||||
) from None
|
||||
|
||||
# Path 3: DefaultAzureCredential (Managed Identity, Azure CLI, etc.)
|
||||
# Only attempt if azure-identity is installed and no API key is available
|
||||
if not self.api_key:
|
||||
try:
|
||||
from azure.identity import DefaultAzureCredential
|
||||
|
||||
return DefaultAzureCredential()
|
||||
except ImportError:
|
||||
raise ValueError(
|
||||
"Azure API key is required when azure-identity is not installed. "
|
||||
"Set AZURE_API_KEY environment variable, pass api_key parameter, "
|
||||
'or install azure-identity: uv add "crewai[azure-ai-inference]"'
|
||||
) from None
|
||||
|
||||
# Path 4: API Key (existing path)
|
||||
return AzureKeyCredential(self.api_key)
|
||||
|
||||
def _get_sync_client(self) -> Any:
|
||||
if self._client is None:
|
||||
self._client = self._build_sync_client()
|
||||
|
||||
257
lib/crewai/tests/llms/azure/test_azure_credentials.py
Normal file
257
lib/crewai/tests/llms/azure/test_azure_credentials.py
Normal file
@@ -0,0 +1,257 @@
|
||||
"""Tests for Azure credential resolution chain in AzureCompletion.
|
||||
|
||||
Covers the four credential paths:
|
||||
1. WorkloadIdentityCredential (OIDC federation)
|
||||
2. ClientSecretCredential (Service Principal)
|
||||
3. DefaultAzureCredential (Managed Identity / CLI fallback)
|
||||
4. AzureKeyCredential (API key - existing path)
|
||||
"""
|
||||
|
||||
import os
|
||||
from unittest.mock import patch, MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
|
||||
ENDPOINT = "https://test.openai.azure.com"
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def _clear_azure_env(monkeypatch):
|
||||
"""Remove all Azure env vars to start clean."""
|
||||
for key in [
|
||||
"AZURE_API_KEY", "AZURE_ENDPOINT", "AZURE_OPENAI_ENDPOINT",
|
||||
"AZURE_API_BASE", "AZURE_API_VERSION", "AZURE_TENANT_ID",
|
||||
"AZURE_CLIENT_ID", "AZURE_CLIENT_SECRET", "AZURE_FEDERATED_TOKEN_FILE",
|
||||
]:
|
||||
monkeypatch.delenv(key, raising=False)
|
||||
|
||||
|
||||
@pytest.mark.usefixtures("_clear_azure_env")
|
||||
class TestCredentialResolution:
|
||||
"""Tests for AzureCompletion._resolve_credential."""
|
||||
|
||||
def test_api_key_credential_when_api_key_set(self):
|
||||
"""Path 4: API key produces AzureKeyCredential."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
from azure.core.credentials import AzureKeyCredential
|
||||
|
||||
completion = AzureCompletion(
|
||||
model="gpt-4",
|
||||
api_key="test-key",
|
||||
endpoint=ENDPOINT,
|
||||
)
|
||||
cred = completion._resolve_credential()
|
||||
assert isinstance(cred, AzureKeyCredential)
|
||||
|
||||
def test_api_key_from_env(self, monkeypatch):
|
||||
"""Path 4: api_key picked up from AZURE_API_KEY env var."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
from azure.core.credentials import AzureKeyCredential
|
||||
|
||||
monkeypatch.setenv("AZURE_API_KEY", "env-key")
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
completion = AzureCompletion(model="gpt-4")
|
||||
cred = completion._resolve_credential()
|
||||
assert isinstance(cred, AzureKeyCredential)
|
||||
|
||||
def test_workload_identity_credential(self, monkeypatch, tmp_path):
|
||||
"""Path 1: OIDC federation via WorkloadIdentityCredential."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
token_file = tmp_path / "token.txt"
|
||||
token_file.write_text("eyJhbGciOiJSUzI1NiJ9.test")
|
||||
|
||||
monkeypatch.setenv("AZURE_FEDERATED_TOKEN_FILE", str(token_file))
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
mock_wi_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.WorkloadIdentityCredential",
|
||||
return_value=mock_wi_cred,
|
||||
) as mock_cls:
|
||||
completion = AzureCompletion(
|
||||
model="gpt-4",
|
||||
azure_tenant_id="tenant-123",
|
||||
azure_client_id="client-456",
|
||||
)
|
||||
cred = completion._resolve_credential()
|
||||
assert cred is mock_wi_cred
|
||||
mock_cls.assert_called_once_with(
|
||||
tenant_id="tenant-123",
|
||||
client_id="client-456",
|
||||
token_file_path=str(token_file),
|
||||
)
|
||||
|
||||
def test_workload_identity_from_env_vars(self, monkeypatch, tmp_path):
|
||||
"""Path 1: All WI fields discovered from environment."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
token_file = tmp_path / "token.txt"
|
||||
token_file.write_text("eyJhbGciOiJSUzI1NiJ9.test")
|
||||
|
||||
monkeypatch.setenv("AZURE_FEDERATED_TOKEN_FILE", str(token_file))
|
||||
monkeypatch.setenv("AZURE_TENANT_ID", "env-tenant")
|
||||
monkeypatch.setenv("AZURE_CLIENT_ID", "env-client")
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
mock_wi_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.WorkloadIdentityCredential",
|
||||
return_value=mock_wi_cred,
|
||||
) as mock_cls:
|
||||
completion = AzureCompletion(model="gpt-4")
|
||||
cred = completion._resolve_credential()
|
||||
assert cred is mock_wi_cred
|
||||
mock_cls.assert_called_once_with(
|
||||
tenant_id="env-tenant",
|
||||
client_id="env-client",
|
||||
token_file_path=str(token_file),
|
||||
)
|
||||
|
||||
def test_client_secret_credential(self, monkeypatch):
|
||||
"""Path 2: Service Principal with client secret."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
monkeypatch.setenv("AZURE_CLIENT_SECRET", "sp-secret")
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
mock_cs_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.ClientSecretCredential",
|
||||
return_value=mock_cs_cred,
|
||||
) as mock_cls:
|
||||
completion = AzureCompletion(
|
||||
model="gpt-4",
|
||||
azure_tenant_id="tenant-123",
|
||||
azure_client_id="client-456",
|
||||
)
|
||||
cred = completion._resolve_credential()
|
||||
assert cred is mock_cs_cred
|
||||
mock_cls.assert_called_once_with(
|
||||
tenant_id="tenant-123",
|
||||
client_id="client-456",
|
||||
client_secret="sp-secret",
|
||||
)
|
||||
|
||||
def test_default_azure_credential_when_no_api_key(self, monkeypatch):
|
||||
"""Path 3: DefaultAzureCredential when no api_key and no SP/WI vars."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
mock_default_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.DefaultAzureCredential",
|
||||
return_value=mock_default_cred,
|
||||
):
|
||||
completion = AzureCompletion(model="gpt-4")
|
||||
cred = completion._resolve_credential()
|
||||
assert cred is mock_default_cred
|
||||
|
||||
def test_workload_identity_takes_priority_over_api_key(self, monkeypatch, tmp_path):
|
||||
"""WI credential should take priority even when api_key is also set."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
token_file = tmp_path / "token.txt"
|
||||
token_file.write_text("eyJhbGciOiJSUzI1NiJ9.test")
|
||||
|
||||
monkeypatch.setenv("AZURE_FEDERATED_TOKEN_FILE", str(token_file))
|
||||
monkeypatch.setenv("AZURE_API_KEY", "should-not-use-this")
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
mock_wi_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.WorkloadIdentityCredential",
|
||||
return_value=mock_wi_cred,
|
||||
):
|
||||
completion = AzureCompletion(
|
||||
model="gpt-4",
|
||||
azure_tenant_id="tenant-123",
|
||||
azure_client_id="client-456",
|
||||
)
|
||||
cred = completion._resolve_credential()
|
||||
assert cred is mock_wi_cred
|
||||
|
||||
def test_client_secret_takes_priority_over_api_key(self, monkeypatch):
|
||||
"""SP credential should take priority over API key."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
monkeypatch.setenv("AZURE_CLIENT_SECRET", "sp-secret")
|
||||
monkeypatch.setenv("AZURE_API_KEY", "should-not-use-this")
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
mock_cs_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.ClientSecretCredential",
|
||||
return_value=mock_cs_cred,
|
||||
):
|
||||
completion = AzureCompletion(
|
||||
model="gpt-4",
|
||||
azure_tenant_id="tenant-123",
|
||||
azure_client_id="client-456",
|
||||
)
|
||||
cred = completion._resolve_credential()
|
||||
assert cred is mock_cs_cred
|
||||
|
||||
def test_raises_when_no_api_key_and_no_azure_identity(self, monkeypatch):
|
||||
"""ValueError when no api_key and azure-identity not installed."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
with patch.dict("sys.modules", {"azure.identity": None}):
|
||||
completion = AzureCompletion(model="gpt-4")
|
||||
with pytest.raises(ValueError, match="Azure API key is required"):
|
||||
completion._resolve_credential()
|
||||
|
||||
def test_endpoint_still_required(self, monkeypatch, tmp_path):
|
||||
"""Endpoint is always required regardless of credential type."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
token_file = tmp_path / "token.txt"
|
||||
token_file.write_text("test-jwt")
|
||||
|
||||
monkeypatch.setenv("AZURE_FEDERATED_TOKEN_FILE", str(token_file))
|
||||
monkeypatch.setenv("AZURE_TENANT_ID", "tenant-123")
|
||||
monkeypatch.setenv("AZURE_CLIENT_ID", "client-456")
|
||||
|
||||
completion = AzureCompletion(model="gpt-4")
|
||||
with pytest.raises(ValueError, match="Azure endpoint is required"):
|
||||
completion._make_client_kwargs()
|
||||
|
||||
def test_deferred_build_picks_up_wi_env_vars(self, monkeypatch, tmp_path):
|
||||
"""Env vars set after construction are picked up on deferred build."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
# Construct with endpoint only — no credentials yet
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
completion = AzureCompletion(model="gpt-4")
|
||||
|
||||
# Now set WI env vars (simulating WI manager setting them before crew run)
|
||||
token_file = tmp_path / "token.txt"
|
||||
token_file.write_text("eyJhbGciOiJSUzI1NiJ9.deferred")
|
||||
monkeypatch.setenv("AZURE_FEDERATED_TOKEN_FILE", str(token_file))
|
||||
monkeypatch.setenv("AZURE_TENANT_ID", "deferred-tenant")
|
||||
monkeypatch.setenv("AZURE_CLIENT_ID", "deferred-client")
|
||||
|
||||
mock_wi_cred = MagicMock()
|
||||
with patch(
|
||||
"azure.identity.WorkloadIdentityCredential",
|
||||
return_value=mock_wi_cred,
|
||||
):
|
||||
kwargs = completion._make_client_kwargs()
|
||||
assert kwargs["credential"] is mock_wi_cred
|
||||
|
||||
def test_make_client_kwargs_includes_api_version(self, monkeypatch):
|
||||
"""api_version is included in client kwargs."""
|
||||
from crewai.llms.providers.azure.completion import AzureCompletion
|
||||
|
||||
monkeypatch.setenv("AZURE_API_KEY", "test-key")
|
||||
monkeypatch.setenv("AZURE_ENDPOINT", ENDPOINT)
|
||||
|
||||
completion = AzureCompletion(model="gpt-4", api_version="2025-01-01")
|
||||
kwargs = completion._make_client_kwargs()
|
||||
assert kwargs["api_version"] == "2025-01-01"
|
||||
assert kwargs["endpoint"] == ENDPOINT
|
||||
Reference in New Issue
Block a user