fix: reuse parent run_id in nested streaming and fix test context isolation

Co-Authored-By: João <joao@crewai.com>
fix: add run_id scoping to streaming handlers to prevent cross-run chunk contamination (#5376 )
2026-04-26 12:52:39 +00:00 · 2026-04-09 06:06:12 +00:00 · 2026-04-09 05:56:47 +00:00 · 2026-04-09 07:26:22 +08:00 · 2026-04-09 07:21:39 +08:00 · 2026-04-09 05:31:31 +08:00
64 changed files with 3024 additions and 348 deletions
--- a/.github/workflows/linter.yml
+++ b/.github/workflows/linter.yml
@@ -6,7 +6,24 @@ permissions:
  contents: read

 jobs:
-  lint:
+  changes:
+    name: Detect changes
+    runs-on: ubuntu-latest
+    outputs:
+      code: ${{ steps.filter.outputs.code }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: dorny/paths-filter@v3
+        id: filter
+        with:
+          filters: |
+            code:
+              - '!docs/**'
+              - '!**/*.md'
+
+  lint-run:
+    needs: changes
+    if: needs.changes.outputs.code == 'true'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
@@ -48,3 +65,23 @@ jobs:
            ~/.local/share/uv
            .venv
          key: uv-main-py3.11-${{ hashFiles('uv.lock') }}
+
+  # Summary job to provide single status for branch protection
+  lint:
+    name: lint
+    runs-on: ubuntu-latest
+    needs: [changes, lint-run]
+    if: always()
+    steps:
+      - name: Check results
+        run: |
+          if [ "${{ needs.changes.outputs.code }}" != "true" ]; then
+            echo "Docs-only change, skipping lint"
+            exit 0
+          fi
+          if [ "${{ needs.lint-run.result }}" == "success" ]; then
+            echo "Lint passed"
+          else
+            echo "Lint failed"
+            exit 1
+          fi
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -6,8 +6,25 @@ permissions:
  contents: read

 jobs:
-  tests:
+  changes:
+    name: Detect changes
+    runs-on: ubuntu-latest
+    outputs:
+      code: ${{ steps.filter.outputs.code }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: dorny/paths-filter@v3
+        id: filter
+        with:
+          filters: |
+            code:
+              - '!docs/**'
+              - '!**/*.md'
+
+  tests-matrix:
    name: tests (${{ matrix.python-version }})
+    needs: changes
+    if: needs.changes.outputs.code == 'true'
    runs-on: ubuntu-latest
    timeout-minutes: 15
    strategy:
@@ -98,3 +115,23 @@ jobs:
            ~/.local/share/uv
            .venv
          key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
+
+  # Summary job to provide single status for branch protection
+  tests:
+    name: tests
+    runs-on: ubuntu-latest
+    needs: [changes, tests-matrix]
+    if: always()
+    steps:
+      - name: Check results
+        run: |
+          if [ "${{ needs.changes.outputs.code }}" != "true" ]; then
+            echo "Docs-only change, skipping tests"
+            exit 0
+          fi
+          if [ "${{ needs.tests-matrix.result }}" == "success" ]; then
+            echo "All tests passed"
+          else
+            echo "Tests failed"
+            exit 1
+          fi
--- a/.github/workflows/type-checker.yml
+++ b/.github/workflows/type-checker.yml
@@ -6,8 +6,25 @@ permissions:
  contents: read

 jobs:
+  changes:
+    name: Detect changes
+    runs-on: ubuntu-latest
+    outputs:
+      code: ${{ steps.filter.outputs.code }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: dorny/paths-filter@v3
+        id: filter
+        with:
+          filters: |
+            code:
+              - '!docs/**'
+              - '!**/*.md'
+
  type-checker-matrix:
    name: type-checker (${{ matrix.python-version }})
+    needs: changes
+    if: needs.changes.outputs.code == 'true'
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
@@ -57,14 +74,18 @@ jobs:
  type-checker:
    name: type-checker
    runs-on: ubuntu-latest
-    needs: type-checker-matrix
+    needs: [changes, type-checker-matrix]
    if: always()
    steps:
-      - name: Check matrix results
+      - name: Check results
        run: |
-          if [ "${{ needs.type-checker-matrix.result }}" == "success" ] || [ "${{ needs.type-checker-matrix.result }}" == "skipped" ]; then
-            echo "✅ All type checks passed"
+          if [ "${{ needs.changes.outputs.code }}" != "true" ]; then
+            echo "Docs-only change, skipping type checks"
+            exit 0
+          fi
+          if [ "${{ needs.type-checker-matrix.result }}" == "success" ]; then
+            echo "All type checks passed"
          else
-            echo "❌ Type checks failed"
+            echo "Type checks failed"
            exit 1
          fi
--- a/docs/ar/changelog.mdx
+++ b/docs/ar/changelog.mdx
@@ -4,6 +4,62 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
 icon: "clock"
 mode: "wide"
 ---
+<Update label="9 أبريل 2026">
+  ## v1.14.2a1
+
+  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a1)
+
+  ## ما الذي تغير
+
+  ### إصلاحات الأخطاء
+  - إصلاح إصدار حدث flow_finished بعد استئناف HITL
+  - إصلاح إصدار التشفير إلى 46.0.7 لمعالجة CVE-2026-39892
+
+  ### إعادة هيكلة
+  - إعادة هيكلة لاستخدام I18N_DEFAULT المشترك
+
+  ### الوثائق
+  - تحديث سجل التغييرات والإصدار لـ v1.14.1
+
+  ## المساهمون
+
+  @greysonlalonde
+
+</Update>
+
+<Update label="9 أبريل 2026">
+  ## v1.14.1
+
+  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.1)
+
+  ## ما الذي تغير
+
+  ### الميزات
+  - إضافة متصفح TUI لنقاط التفتيش غير المتزامنة
+  - إضافة دالة aclose()/close() ومدير سياق غير متزامن لمخرجات البث
+
+  ### إصلاحات الأخطاء
+  - إصلاح التعبير النمطي لزيادة إصدار pyproject.toml
+  - تنظيف أسماء الأدوات في مرشحات زخرفة الخطاف
+  - إصلاح تسجيل معالجات نقاط التفتيش عند إنشاء CheckpointConfig
+  - رفع إصدار transformers إلى 5.5.0 لحل CVE-2026-1839
+  - إزالة غلاف FilteredStream لـ stdout/stderr
+
+  ### الوثائق
+  - تحديث سجل التغييرات والإصدار لـ v1.14.1rc1
+
+  ### إعادة الهيكلة
+  - استبدال القائمة المحظورة الثابتة باستبعاد حقل BaseTool الديناميكي في توليد المواصفات
+  - استبدال التعبير النمطي بـ tomlkit في واجهة سطر أوامر أدوات التطوير
+  - استخدام كائن PRINTER المشترك
+  - جعل BaseProvider نموذجاً أساسياً مع مميز نوع المزود
+
+  ## المساهمون
+
+  @greysonlalonde, @iris-clawd, @joaomdmoura, @lorenzejay
+
+</Update>
+
 <Update label="9 أبريل 2026">
  ## v1.14.1rc1

--- a/docs/ar/skills.mdx
+++ b/docs/ar/skills.mdx
@@ -0,0 +1,50 @@
+---
+title: Skills
+description: ثبّت crewaiinc/skills من السجل الرسمي على skills.sh—Flows وCrews ووكلاء مرتبطون بالوثائق لـ Claude Code وCursor وCodex وغيرها.
+icon: wand-magic-sparkles
+mode: "wide"
+---
+
+# Skills
+
+**امنح وكيل البرمجة سياق CrewAI في أمر واحد.**
+
+تُنشر **Skills** الخاصة بـ CrewAI على **[skills.sh/crewaiinc/skills](https://skills.sh/crewaiinc/skills)**—السجل الرسمي لـ `crewaiinc/skills`، بما في ذلك كل مهارة (مثل **design-agent** و**getting-started** و**design-task** و**ask-docs**) وإحصاءات التثبيت والتدقيقات. تعلّم وكلاء البرمجة—مثل Claude Code وCursor وCodex—هيكلة Flows وضبط Crews واستخدام الأدوات واتباع أنماط CrewAI. نفّذ الأمر أدناه (أو الصقه في الوكيل).
+
+```shell Terminal
+npx skills add crewaiinc/skills
+```
+
+يضيف ذلك حزمة المهارات إلى سير عمل الوكيل لتطبيق اتفاقيات CrewAI دون إعادة شرح الإطار في كل جلسة. المصدر والقضايا على [GitHub](https://github.com/crewAIInc/skills).
+
+## ما يحصل عليه الوكيل
+
+- **Flows** — تطبيقات ذات حالة وخطوات وkickoffs للـ crew على نمط CrewAI
+- **Crews والوكلاء** — أنماط YAML أولاً، أدوار، مهام، وتفويض
+- **الأدوات والتكاملات** — ربط الوكلاء بالبحث وواجهات API وأدوات CrewAI الشائعة
+- **هيكل المشروع** — مواءمة مع قوالب CLI واتفاقيات المستودع
+- **أنماط محدثة** — تتبع المهارات وثائق CrewAI والممارسات الموصى بها
+
+## تعرّف أكثر على هذا الموقع
+
+<CardGroup cols={2}>
+  <Card title="أدوات البرمجة و AGENTS.md" icon="terminal" href="/ar/guides/coding-tools/agents-md">
+    استخدام `AGENTS.md` وسير عمل وكلاء البرمجة مع CrewAI.
+  </Card>
+  <Card title="البداية السريعة" icon="rocket" href="/ar/quickstart">
+    ابنِ أول Flow وcrew من البداية للنهاية.
+  </Card>
+  <Card title="التثبيت" icon="download" href="/ar/installation">
+    ثبّت CrewAI CLI وحزمة Python.
+  </Card>
+  <Card title="سجل Skills (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
+    القائمة الرسمية لـ `crewaiinc/skills`—المهارات والتثبيتات والتدقيقات.
+  </Card>
+  <Card title="المصدر على GitHub" icon="code-branch" href="https://github.com/crewAIInc/skills">
+    مصدر الحزمة والتحديثات والقضايا.
+  </Card>
+</CardGroup>
+
+### فيديو: CrewAI مع مهارات وكلاء البرمجة
+
+<iframe src="https://www.loom.com/embed/befb9f68b81f42ad8112bfdd95a780af" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style={{ width: "100%", height: "400px" }} />
--- a/docs/docs.json
+++ b/docs/docs.json
--- a/docs/en/changelog.mdx
+++ b/docs/en/changelog.mdx
@@ -4,6 +4,62 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
 icon: "clock"
 mode: "wide"
 ---
+<Update label="Apr 09, 2026">
+  ## v1.14.2a1
+
+  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a1)
+
+  ## What's Changed
+
+  ### Bug Fixes
+  - Fix emission of flow_finished event after HITL resume
+  - Fix cryptography version to 46.0.7 to address CVE-2026-39892
+
+  ### Refactoring
+  - Refactor to use shared I18N_DEFAULT singleton
+
+  ### Documentation
+  - Update changelog and version for v1.14.1
+
+  ## Contributors
+
+  @greysonlalonde
+
+</Update>
+
+<Update label="Apr 09, 2026">
+  ## v1.14.1
+
+  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.1)
+
+  ## What's Changed
+
+  ### Features
+  - Add async checkpoint TUI browser
+  - Add aclose()/close() and async context manager to streaming outputs
+
+  ### Bug Fixes
+  - Fix regex for template pyproject.toml version bumps
+  - Sanitize tool names in hook decorator filters
+  - Fix checkpoint handlers registration when CheckpointConfig is created
+  - Bump transformers to 5.5.0 to resolve CVE-2026-1839
+  - Remove FilteredStream stdout/stderr wrapper
+
+  ### Documentation
+  - Update changelog and version for v1.14.1rc1
+
+  ### Refactoring
+  - Replace hardcoded denylist with dynamic BaseTool field exclusion in spec gen
+  - Replace regex with tomlkit in devtools CLI
+  - Use shared PRINTER singleton
+  - Make BaseProvider a BaseModel with provider_type discriminator
+
+  ## Contributors
+
+  @greysonlalonde, @iris-clawd, @joaomdmoura, @lorenzejay
+
+</Update>
+
 <Update label="Apr 09, 2026">
  ## v1.14.1rc1

--- a/docs/en/skills.mdx
+++ b/docs/en/skills.mdx
@@ -0,0 +1,50 @@
+---
+title: Skills
+description: Install crewaiinc/skills from the official registry at skills.sh—Flows, Crews, and docs-aware agents for Claude Code, Cursor, Codex, and more.
+icon: wand-magic-sparkles
+mode: "wide"
+---
+
+# Skills
+
+**Give your AI coding agent CrewAI context in one command.**
+
+CrewAI **Skills** are published on **[skills.sh/crewaiinc/skills](https://skills.sh/crewaiinc/skills)**—the official registry for `crewaiinc/skills`, including individual skills (for example **design-agent**, **getting-started**, **design-task**, and **ask-docs**), install stats, and audits. They teach coding agents—like Claude Code, Cursor, and Codex—how to scaffold Flows, configure Crews, use tools, and follow CrewAI patterns. Run the install below (or paste it into your agent).
+
+```shell Terminal
+npx skills add crewaiinc/skills
+```
+
+That pulls the official skill pack into your agent workflow so it can apply CrewAI conventions without you re-explaining the framework each session. Source code and issues live on [GitHub](https://github.com/crewAIInc/skills).
+
+## What your agent gets
+
+- **Flows** — structure stateful apps, steps, and crew kickoffs the CrewAI way
+- **Crews & agents** — YAML-first patterns, roles, tasks, and delegation
+- **Tools & integrations** — hook agents to search, APIs, and common CrewAI tools
+- **Project layout** — align with CLI scaffolds and repo conventions
+- **Up-to-date patterns** — skills track current CrewAI docs and recommended practices
+
+## Learn more on this site
+
+<CardGroup cols={2}>
+  <Card title="Coding tools & AGENTS.md" icon="terminal" href="/en/guides/coding-tools/agents-md">
+    How to use `AGENTS.md` and coding-agent workflows with CrewAI.
+  </Card>
+  <Card title="Quickstart" icon="rocket" href="/en/quickstart">
+    Build your first Flow and crew end-to-end.
+  </Card>
+  <Card title="Installation" icon="download" href="/en/installation">
+    Install the CrewAI CLI and Python package.
+  </Card>
+  <Card title="Skills registry (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
+    Official listing for `crewaiinc/skills`—skills, installs, and audits.
+  </Card>
+  <Card title="GitHub source" icon="code-branch" href="https://github.com/crewAIInc/skills">
+    Source, updates, and issues for the skill pack.
+  </Card>
+</CardGroup>
+
+### Video: CrewAI with coding agent skills
+
+<iframe src="https://www.loom.com/embed/befb9f68b81f42ad8112bfdd95a780af" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style={{ width: "100%", height: "400px" }} />
--- a/docs/ko/changelog.mdx
+++ b/docs/ko/changelog.mdx
@@ -4,6 +4,62 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
 icon: "clock"
 mode: "wide"
 ---
+<Update label="2026년 4월 9일">
+  ## v1.14.2a1
+
+  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a1)
+
+  ## 변경 사항
+
+  ### 버그 수정
+  - HITL 재개 후 flow_finished 이벤트 방출 수정
+  - CVE-2026-39892 문제를 해결하기 위해 암호화 버전을 46.0.7로 수정
+
+  ### 리팩토링
+  - 공유 I18N_DEFAULT 싱글톤을 사용하도록 리팩토링
+
+  ### 문서
+  - v1.14.1에 대한 변경 로그 및 버전 업데이트
+
+  ## 기여자
+
+  @greysonlalonde
+
+</Update>
+
+<Update label="2026년 4월 9일">
+  ## v1.14.1
+
+  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.1)
+
+  ## 변경 사항
+
+  ### 기능
+  - 비동기 체크포인트 TUI 브라우저 추가
+  - 스트리밍 출력에 aclose()/close() 및 비동기 컨텍스트 관리자 추가
+
+  ### 버그 수정
+  - 템플릿 pyproject.toml 버전 증가를 위한 정규 표현식 수정
+  - 훅 데코레이터 필터에서 도구 이름 정리
+  - CheckpointConfig 생성 시 체크포인트 핸들러 등록 수정
+  - CVE-2026-1839 해결을 위해 transformers를 5.5.0으로 업데이트
+  - FilteredStream stdout/stderr 래퍼 제거
+
+  ### 문서
+  - v1.14.1rc1에 대한 변경 로그 및 버전 업데이트
+
+  ### 리팩토링
+  - 하드코딩된 거부 목록을 동적 BaseTool 필드 제외로 교체
+  - devtools CLI에서 정규 표현식을 tomlkit으로 교체
+  - 공유 PRINTER 싱글톤 사용
+  - BaseProvider를 provider_type 식별자가 있는 BaseModel로 변경
+
+  ## 기여자
+
+  @greysonlalonde, @iris-clawd, @joaomdmoura, @lorenzejay
+
+</Update>
+
 <Update label="2026년 4월 9일">
  ## v1.14.1rc1

--- a/docs/ko/skills.mdx
+++ b/docs/ko/skills.mdx
@@ -0,0 +1,50 @@
+---
+title: Skills
+description: skills.sh의 공식 레지스트리에서 crewaiinc/skills를 설치하세요. Claude Code, Cursor, Codex 등을 위한 Flow, Crew, 문서 연동 스킬.
+icon: wand-magic-sparkles
+mode: "wide"
+---
+
+# Skills
+
+**한 번의 명령으로 코딩 에이전트에 CrewAI 컨텍스트를 제공하세요.**
+
+CrewAI **Skills**는 **[skills.sh/crewaiinc/skills](https://skills.sh/crewaiinc/skills)**에 게시됩니다. `crewaiinc/skills`의 공식 레지스트리로, 개별 스킬(예: **design-agent**, **getting-started**, **design-task**, **ask-docs**), 설치 수, 감사 정보를 확인할 수 있습니다. Claude Code, Cursor, Codex 같은 코딩 에이전트에게 Flow 구성, Crew 설정, 도구 사용, CrewAI 패턴을 가르칩니다. 아래를 실행하거나 에이전트에 붙여 넣으세요.
+
+```shell Terminal
+npx skills add crewaiinc/skills
+```
+
+에이전트 워크플로에 스킬 팩이 추가되어 세션마다 프레임워크를 다시 설명하지 않아도 CrewAI 관례를 적용할 수 있습니다. 소스와 이슈는 [GitHub](https://github.com/crewAIInc/skills)에서 관리합니다.
+
+## 에이전트가 얻는 것
+
+- **Flows** — CrewAI 방식의 상태ful 앱, 단계, crew kickoff
+- **Crew & 에이전트** — YAML 우선 패턴, 역할, 작업, 위임
+- **도구 & 통합** — 검색, API, 일반적인 CrewAI 도구 연결
+- **프로젝트 구조** — CLI 스캐폴드 및 저장소 관례와 정렬
+- **최신 패턴** — 스킬이 현재 CrewAI 문서 및 권장 사항을 반영
+
+## 이 사이트에서 더 알아보기
+
+<CardGroup cols={2}>
+  <Card title="코딩 도구 & AGENTS.md" icon="terminal" href="/ko/guides/coding-tools/agents-md">
+    CrewAI와 `AGENTS.md`, 코딩 에이전트 워크플로 사용법.
+  </Card>
+  <Card title="빠른 시작" icon="rocket" href="/ko/quickstart">
+    첫 Flow와 crew를 처음부터 끝까지 구축합니다.
+  </Card>
+  <Card title="설치" icon="download" href="/ko/installation">
+    CrewAI CLI와 Python 패키지를 설치합니다.
+  </Card>
+  <Card title="Skills 레지스트리 (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
+    `crewaiinc/skills` 공식 목록—스킬, 설치 수, 감사.
+  </Card>
+  <Card title="GitHub 소스" icon="code-branch" href="https://github.com/crewAIInc/skills">
+    스킬 팩 소스, 업데이트, 이슈.
+  </Card>
+</CardGroup>
+
+### 영상: 코딩 에이전트 스킬과 CrewAI
+
+<iframe src="https://www.loom.com/embed/befb9f68b81f42ad8112bfdd95a780af" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style={{ width: "100%", height: "400px" }} />
--- a/docs/pt-BR/changelog.mdx
+++ b/docs/pt-BR/changelog.mdx
@@ -4,6 +4,62 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
 icon: "clock"
 mode: "wide"
 ---
+<Update label="09 abr 2026">
+  ## v1.14.2a1
+
+  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.2a1)
+
+  ## O que Mudou
+
+  ### Correções de Bugs
+  - Corrigir a emissão do evento flow_finished após a retomada do HITL
+  - Corrigir a versão da criptografia para 46.0.7 para resolver o CVE-2026-39892
+
+  ### Refatoração
+  - Refatorar para usar o singleton I18N_DEFAULT compartilhado
+
+  ### Documentação
+  - Atualizar o changelog e a versão para v1.14.1
+
+  ## Contribuidores
+
+  @greysonlalonde
+
+</Update>
+
+<Update label="09 abr 2026">
+  ## v1.14.1
+
+  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.1)
+
+  ## O que Mudou
+
+  ### Funcionalidades
+  - Adicionar navegador TUI de ponto de verificação assíncrono
+  - Adicionar aclose()/close() e gerenciador de contexto assíncrono para saídas de streaming
+
+  ### Correções de Bugs
+  - Corrigir regex para aumentos de versão do template pyproject.toml
+  - Sanitizar nomes de ferramentas nos filtros do decorador de hook
+  - Corrigir registro de manipuladores de ponto de verificação quando CheckpointConfig é criado
+  - Atualizar transformers para 5.5.0 para resolver CVE-2026-1839
+  - Remover wrapper stdout/stderr de FilteredStream
+
+  ### Documentação
+  - Atualizar changelog e versão para v1.14.1rc1
+
+  ### Refatoração
+  - Substituir lista de negação codificada por exclusão dinâmica de campo BaseTool na geração de especificações
+  - Substituir regex por tomlkit na CLI do devtools
+  - Usar singleton PRINTER compartilhado
+  - Fazer BaseProvider um BaseModel com discriminador provider_type
+
+  ## Contribuidores
+
+  @greysonlalonde, @iris-clawd, @joaomdmoura, @lorenzejay
+
+</Update>
+
 <Update label="09 abr 2026">
  ## v1.14.1rc1

--- a/docs/pt-BR/skills.mdx
+++ b/docs/pt-BR/skills.mdx
@@ -0,0 +1,50 @@
+---
+title: Skills
+description: Instale crewaiinc/skills pelo registro oficial em skills.sh—Flows, Crews e agentes alinhados à documentação para Claude Code, Cursor, Codex e outros.
+icon: wand-magic-sparkles
+mode: "wide"
+---
+
+# Skills
+
+**Dê ao seu agente de código o contexto do CrewAI em um comando.**
+
+As **Skills** do CrewAI são publicadas em **[skills.sh/crewaiinc/skills](https://skills.sh/crewaiinc/skills)**—o registro oficial de `crewaiinc/skills`, com cada skill (por exemplo **design-agent**, **getting-started**, **design-task** e **ask-docs**), estatísticas de instalação e auditorias. Ensinam agentes de código—como Claude Code, Cursor e Codex—a estruturar Flows, configurar Crews, usar ferramentas e seguir os padrões do CrewAI. Execute o comando abaixo (ou cole no seu agente).
+
+```shell Terminal
+npx skills add crewaiinc/skills
+```
+
+Isso adiciona o pacote de skills ao fluxo do seu agente para aplicar convenções do CrewAI sem precisar reexplicar o framework a cada sessão. Código-fonte e issues ficam no [GitHub](https://github.com/crewAIInc/skills).
+
+## O que seu agente ganha
+
+- **Flows** — apps com estado, passos e kickoffs de crew no estilo CrewAI
+- **Crews e agentes** — padrões YAML-first, papéis, tarefas e delegação
+- **Ferramentas e integrações** — conectar agentes a busca, APIs e ferramentas comuns
+- **Layout de projeto** — alinhar com scaffolds da CLI e convenções do repositório
+- **Padrões atualizados** — skills acompanham a documentação e as práticas recomendadas
+
+## Saiba mais neste site
+
+<CardGroup cols={2}>
+  <Card title="Ferramentas de codificação e AGENTS.md" icon="terminal" href="/pt-BR/guides/coding-tools/agents-md">
+    Como usar `AGENTS.md` e fluxos de agente de código com o CrewAI.
+  </Card>
+  <Card title="Início rápido" icon="rocket" href="/pt-BR/quickstart">
+    Construa seu primeiro Flow e crew ponta a ponta.
+  </Card>
+  <Card title="Instalação" icon="download" href="/pt-BR/installation">
+    Instale a CLI e o pacote Python do CrewAI.
+  </Card>
+  <Card title="Registro de skills (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
+    Listagem oficial de `crewaiinc/skills`—skills, instalações e auditorias.
+  </Card>
+  <Card title="Código no GitHub" icon="code-branch" href="https://github.com/crewAIInc/skills">
+    Fonte, atualizações e issues do pacote de skills.
+  </Card>
+</CardGroup>
+
+### Vídeo: CrewAI com coding agent skills
+
+<iframe src="https://www.loom.com/embed/befb9f68b81f42ad8112bfdd95a780af" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style={{ width: "100%", height: "400px" }} />
--- a/lib/crewai-files/src/crewai_files/init.py
+++ b/lib/crewai-files/src/crewai_files/init.py
@@ -152,4 +152,4 @@ __all__ = [
    "wrap_file_source",
 ]

-__version__ = "1.14.1rc1"
+__version__ = "1.14.2a1"
--- a/lib/crewai-tools/pyproject.toml
+++ b/lib/crewai-tools/pyproject.toml
@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
 dependencies = [
    "pytube~=15.0.0",
    "requests~=2.32.5",
-    "crewai==1.14.1rc1",
+    "crewai==1.14.2a1",
    "tiktoken~=0.8.0",
    "beautifulsoup4~=4.13.4",
    "python-docx~=1.2.0",
--- a/lib/crewai-tools/src/crewai_tools/init.py
+++ b/lib/crewai-tools/src/crewai_tools/init.py
@@ -305,4 +305,4 @@ __all__ = [
    "ZapierActionTools",
 ]

-__version__ = "1.14.1rc1"
+__version__ = "1.14.2a1"
--- a/lib/crewai/pyproject.toml
+++ b/lib/crewai/pyproject.toml
@@ -55,7 +55,7 @@ Repository = "https://github.com/crewAIInc/crewAI"

 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.14.1rc1",
+    "crewai-tools==1.14.2a1",
 ]
 embeddings = [
    "tiktoken~=0.8.0"
--- a/lib/crewai/src/crewai/init.py
+++ b/lib/crewai/src/crewai/init.py
@@ -46,7 +46,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:

 _suppress_pydantic_deprecation_warnings()

-__version__ = "1.14.1rc1"
+__version__ = "1.14.2a1"
 _telemetry_submitted = False


--- a/lib/crewai/src/crewai/agent/core.py
+++ b/lib/crewai/src/crewai/agent/core.py
@@ -98,6 +98,7 @@ from crewai.utilities.converter import Converter, ConverterError
 from crewai.utilities.env import get_env_context
 from crewai.utilities.guardrail import process_guardrail
 from crewai.utilities.guardrail_types import GuardrailCallable, GuardrailType
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.llm_utils import create_llm
 from crewai.utilities.prompts import Prompts, StandardPromptResult, SystemPromptResult
 from crewai.utilities.pydantic_schema_utils import generate_model_description
@@ -499,8 +500,8 @@ class Agent(BaseAgent):
            self.tools_handler.last_used_tool = None

        task_prompt = task.prompt()
-        task_prompt = build_task_prompt_with_schema(task, task_prompt, self.i18n)
-        task_prompt = format_task_with_context(task_prompt, context, self.i18n)
+        task_prompt = build_task_prompt_with_schema(task, task_prompt)
+        task_prompt = format_task_with_context(task_prompt, context)
        return self._retrieve_memory_context(task, task_prompt)

    def _finalize_task_prompt(
@@ -562,7 +563,7 @@ class Agent(BaseAgent):
                        m.format() for m in matches
                    )
            if memory.strip() != "":
-                task_prompt += self.i18n.slice("memory").format(memory=memory)
+                task_prompt += I18N_DEFAULT.slice("memory").format(memory=memory)

            crewai_event_bus.emit(
                self,
@@ -968,14 +969,13 @@ class Agent(BaseAgent):
            agent=self,
            has_tools=len(raw_tools) > 0,
            use_native_tool_calling=use_native_tool_calling,
-            i18n=self.i18n,
            use_system_prompt=self.use_system_prompt,
            system_template=self.system_template,
            prompt_template=self.prompt_template,
            response_template=self.response_template,
        ).task_execution()

-        stop_words = [self.i18n.slice("observation")]
+        stop_words = [I18N_DEFAULT.slice("observation")]
        if self.response_template:
            stop_words.append(
                self.response_template.split("{{ .Response }}")[1].strip()
@@ -1017,7 +1017,6 @@ class Agent(BaseAgent):
            self.agent_executor = self.executor_class(
                llm=self.llm,
                task=task,
-                i18n=self.i18n,
                agent=self,
                crew=self.crew,
                tools=parsed_tools,
@@ -1262,10 +1261,10 @@ class Agent(BaseAgent):
                from_agent=self,
            ),
        )
-        query = self.i18n.slice("knowledge_search_query").format(
+        query = I18N_DEFAULT.slice("knowledge_search_query").format(
            task_prompt=task_prompt
        )
-        rewriter_prompt = self.i18n.slice("knowledge_search_query_system_prompt")
+        rewriter_prompt = I18N_DEFAULT.slice("knowledge_search_query_system_prompt")
        if not isinstance(self.llm, BaseLLM):
            self._logger.log(
                "warning",
@@ -1384,7 +1383,6 @@ class Agent(BaseAgent):
            request_within_rpm_limit=rpm_limit_fn,
            callbacks=[TokenCalcHandler(self._token_process)],
            response_model=response_format,
-            i18n=self.i18n,
        )

        all_files: dict[str, Any] = {}
@@ -1420,7 +1418,7 @@ class Agent(BaseAgent):
                        m.format() for m in matches
                    )
                if memory_block:
-                    formatted_messages += "\n\n" + self.i18n.slice("memory").format(
+                    formatted_messages += "\n\n" + I18N_DEFAULT.slice("memory").format(
                        memory=memory_block
                    )
                crewai_event_bus.emit(
@@ -1624,7 +1622,7 @@ class Agent(BaseAgent):
            try:
                model_schema = generate_model_description(response_format)
                schema = json.dumps(model_schema, indent=2)
-                instructions = self.i18n.slice("formatted_task_instructions").format(
+                instructions = I18N_DEFAULT.slice("formatted_task_instructions").format(
                    output_format=schema
                )

--- a/lib/crewai/src/crewai/agent/utils.py
+++ b/lib/crewai/src/crewai/agent/utils.py
@@ -24,7 +24,6 @@ if TYPE_CHECKING:
    from crewai.agent.core import Agent
    from crewai.task import Task
    from crewai.tools.base_tool import BaseTool
-    from crewai.utilities.i18n import I18N


 def handle_reasoning(agent: Agent, task: Task) -> None:
@@ -59,46 +58,50 @@ def handle_reasoning(agent: Agent, task: Task) -> None:
        agent._logger.log("error", f"Error during planning: {e!s}")


-def build_task_prompt_with_schema(task: Task, task_prompt: str, i18n: I18N) -> str:
+def build_task_prompt_with_schema(task: Task, task_prompt: str) -> str:
    """Build task prompt with JSON/Pydantic schema instructions if applicable.

    Args:
        task: The task being executed.
        task_prompt: The initial task prompt.
-        i18n: Internationalization instance.

    Returns:
        The task prompt potentially augmented with schema instructions.
    """
+    from crewai.utilities.i18n import I18N_DEFAULT
+
    if (task.output_json or task.output_pydantic) and not task.response_model:
        if task.output_json:
            schema_dict = generate_model_description(task.output_json)
            schema = json.dumps(schema_dict["json_schema"]["schema"], indent=2)
-            task_prompt += "\n" + i18n.slice("formatted_task_instructions").format(
-                output_format=schema
-            )
+            task_prompt += "\n" + I18N_DEFAULT.slice(
+                "formatted_task_instructions"
+            ).format(output_format=schema)
        elif task.output_pydantic:
            schema_dict = generate_model_description(task.output_pydantic)
            schema = json.dumps(schema_dict["json_schema"]["schema"], indent=2)
-            task_prompt += "\n" + i18n.slice("formatted_task_instructions").format(
-                output_format=schema
-            )
+            task_prompt += "\n" + I18N_DEFAULT.slice(
+                "formatted_task_instructions"
+            ).format(output_format=schema)
    return task_prompt


-def format_task_with_context(task_prompt: str, context: str | None, i18n: I18N) -> str:
+def format_task_with_context(task_prompt: str, context: str | None) -> str:
    """Format task prompt with context if provided.

    Args:
        task_prompt: The task prompt.
        context: Optional context string.
-        i18n: Internationalization instance.

    Returns:
        The task prompt formatted with context if provided.
    """
+    from crewai.utilities.i18n import I18N_DEFAULT
+
    if context:
-        return i18n.slice("task_with_context").format(task=task_prompt, context=context)
+        return I18N_DEFAULT.slice("task_with_context").format(
+            task=task_prompt, context=context
+        )
    return task_prompt


--- a/lib/crewai/src/crewai/agents/agent_adapters/langgraph/langgraph_adapter.py
+++ b/lib/crewai/src/crewai/agents/agent_adapters/langgraph/langgraph_adapter.py
@@ -33,6 +33,7 @@ from crewai.tools.base_tool import BaseTool
 from crewai.types.callback import SerializableCallable
 from crewai.utilities import Logger
 from crewai.utilities.converter import Converter
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.import_utils import require


@@ -186,7 +187,7 @@ class LangGraphAgentAdapter(BaseAgentAdapter):
            task_prompt = task.prompt() if hasattr(task, "prompt") else str(task)

            if context:
-                task_prompt = self.i18n.slice("task_with_context").format(
+                task_prompt = I18N_DEFAULT.slice("task_with_context").format(
                    task=task_prompt, context=context
                )

--- a/lib/crewai/src/crewai/agents/agent_adapters/openai_agents/openai_adapter.py
+++ b/lib/crewai/src/crewai/agents/agent_adapters/openai_agents/openai_adapter.py
@@ -32,6 +32,7 @@ from crewai.events.types.agent_events import (
 from crewai.tools import BaseTool
 from crewai.tools.agent_tools.agent_tools import AgentTools
 from crewai.utilities import Logger
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.import_utils import require


@@ -133,7 +134,7 @@ class OpenAIAgentAdapter(BaseAgentAdapter):
        try:
            task_prompt: str = task.prompt()
            if context:
-                task_prompt = self.i18n.slice("task_with_context").format(
+                task_prompt = I18N_DEFAULT.slice("task_with_context").format(
                    task=task_prompt, context=context
                )
            crewai_event_bus.emit(
--- a/lib/crewai/src/crewai/agents/agent_adapters/openai_agents/structured_output_converter.py
+++ b/lib/crewai/src/crewai/agents/agent_adapters/openai_agents/structured_output_converter.py
@@ -8,7 +8,7 @@ import json
 from typing import Any

 from crewai.agents.agent_adapters.base_converter_adapter import BaseConverterAdapter
-from crewai.utilities.i18n import get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT


 class OpenAIConverterAdapter(BaseConverterAdapter):
@@ -59,10 +59,8 @@ class OpenAIConverterAdapter(BaseConverterAdapter):
        if not self._output_format:
            return base_prompt

-        output_schema: str = (
-            get_i18n()
-            .slice("formatted_task_instructions")
-            .format(output_format=json.dumps(self._schema, indent=2))
+        output_schema: str = I18N_DEFAULT.slice("formatted_task_instructions").format(
+            output_format=json.dumps(self._schema, indent=2)
        )

        return f"{base_prompt}\n\n{output_schema}"
--- a/lib/crewai/src/crewai/agents/agent_builder/base_agent.py
+++ b/lib/crewai/src/crewai/agents/agent_builder/base_agent.py
@@ -43,7 +43,6 @@ from crewai.state.checkpoint_config import CheckpointConfig, _coerce_checkpoint
 from crewai.tools.base_tool import BaseTool, Tool
 from crewai.types.callback import SerializableCallable
 from crewai.utilities.config import process_config
-from crewai.utilities.i18n import I18N, get_i18n
 from crewai.utilities.logger import Logger
 from crewai.utilities.rpm_controller import RPMController
 from crewai.utilities.string_utils import interpolate_only
@@ -179,7 +178,7 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
        agent_executor: An instance of the CrewAgentExecutor class.
        llm (Any): Language model that will run the agent.
        crew (Any): Crew to which the agent belongs.
-        i18n (I18N): Internationalization settings.
+
        cache_handler ([CacheHandler]): An instance of the CacheHandler class.
        tools_handler ([ToolsHandler]): An instance of the ToolsHandler class.
        max_tokens: Maximum number of tokens for the agent to generate in a response.
@@ -269,9 +268,6 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
            _serialize_crew_ref, return_type=str | None, when_used="always"
        ),
    ] = Field(default=None, description="Crew to which the agent belongs.")
-    i18n: I18N = Field(
-        default_factory=get_i18n, description="Internationalization settings."
-    )
    cache_handler: CacheHandler | None = Field(
        default=None, description="An instance of the CacheHandler class."
    )
--- a/lib/crewai/src/crewai/agents/agent_builder/base_agent_executor.py
+++ b/lib/crewai/src/crewai/agents/agent_builder/base_agent_executor.py
@@ -14,7 +14,6 @@ if TYPE_CHECKING:
    from crewai.agents.agent_builder.base_agent import BaseAgent
    from crewai.crew import Crew
    from crewai.task import Task
-    from crewai.utilities.i18n import I18N


 class BaseAgentExecutor(BaseModel):
@@ -28,7 +27,6 @@ class BaseAgentExecutor(BaseModel):
    max_iter: int = Field(default=25)
    messages: list[LLMMessage] = Field(default_factory=list)
    _resuming: bool = PrivateAttr(default=False)
-    _i18n: I18N | None = PrivateAttr(default=None)

    def _save_to_memory(self, output: AgentFinish) -> None:
        """Save task result to unified memory (memory or crew._memory)."""
--- a/lib/crewai/src/crewai/agents/crew_agent_executor.py
+++ b/lib/crewai/src/crewai/agents/crew_agent_executor.py
@@ -67,7 +67,7 @@ from crewai.utilities.agent_utils import (
 )
 from crewai.utilities.constants import TRAINING_DATA_FILE
 from crewai.utilities.file_store import aget_all_files, get_all_files
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.printer import PRINTER
 from crewai.utilities.string_utils import sanitize_tool_name
 from crewai.utilities.token_counter_callback import TokenCalcHandler
@@ -135,9 +135,8 @@ class CrewAgentExecutor(BaseAgentExecutor):

    model_config = ConfigDict(arbitrary_types_allowed=True, populate_by_name=True)

-    def __init__(self, i18n: I18N | None = None, **kwargs: Any) -> None:
+    def __init__(self, **kwargs: Any) -> None:
        super().__init__(**kwargs)
-        self._i18n = i18n or get_i18n()
        if not self.before_llm_call_hooks:
            self.before_llm_call_hooks.extend(get_before_llm_call_hooks())
        if not self.after_llm_call_hooks:
@@ -328,7 +327,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                    formatted_answer = handle_max_iterations_exceeded(
                        formatted_answer,
                        printer=PRINTER,
-                        i18n=self._i18n,
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
@@ -401,7 +399,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                        agent_action=formatted_answer,
                        fingerprint_context=fingerprint_context,
                        tools=self.tools,
-                        i18n=self._i18n,
                        agent_key=self.agent.key if self.agent else None,
                        agent_role=self.agent.role if self.agent else None,
                        tools_handler=self.tools_handler,
@@ -438,7 +435,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
-                        i18n=self._i18n,
                        verbose=self.agent.verbose,
                    )
                    continue
@@ -484,7 +480,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                    formatted_answer = handle_max_iterations_exceeded(
                        None,
                        printer=PRINTER,
-                        i18n=self._i18n,
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
@@ -575,7 +570,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
-                        i18n=self._i18n,
                        verbose=self.agent.verbose,
                    )
                    continue
@@ -771,7 +765,7 @@ class CrewAgentExecutor(BaseAgentExecutor):
                    if tool_finish:
                        return tool_finish

-                reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+                reasoning_prompt = I18N_DEFAULT.slice("post_tool_reasoning")
                reasoning_message: LLMMessage = {
                    "role": "user",
                    "content": reasoning_prompt,
@@ -795,7 +789,7 @@ class CrewAgentExecutor(BaseAgentExecutor):
        if tool_finish:
            return tool_finish

-        reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+        reasoning_prompt = I18N_DEFAULT.slice("post_tool_reasoning")
        reasoning_message = {
            "role": "user",
            "content": reasoning_prompt,
@@ -1170,7 +1164,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                    formatted_answer = handle_max_iterations_exceeded(
                        formatted_answer,
                        printer=PRINTER,
-                        i18n=self._i18n,
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
@@ -1242,7 +1235,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                        agent_action=formatted_answer,
                        fingerprint_context=fingerprint_context,
                        tools=self.tools,
-                        i18n=self._i18n,
                        agent_key=self.agent.key if self.agent else None,
                        agent_role=self.agent.role if self.agent else None,
                        tools_handler=self.tools_handler,
@@ -1278,7 +1270,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
-                        i18n=self._i18n,
                        verbose=self.agent.verbose,
                    )
                    continue
@@ -1318,7 +1309,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                    formatted_answer = handle_max_iterations_exceeded(
                        None,
                        printer=PRINTER,
-                        i18n=self._i18n,
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
@@ -1408,7 +1398,6 @@ class CrewAgentExecutor(BaseAgentExecutor):
                        messages=self.messages,
                        llm=cast("BaseLLM", self.llm),
                        callbacks=self.callbacks,
-                        i18n=self._i18n,
                        verbose=self.agent.verbose,
                    )
                    continue
@@ -1467,7 +1456,7 @@ class CrewAgentExecutor(BaseAgentExecutor):
            Updated action or final answer.
        """
        # Special case for add_image_tool
-        add_image_tool = self._i18n.tools("add_image")
+        add_image_tool = I18N_DEFAULT.tools("add_image")
        if (
            isinstance(add_image_tool, dict)
            and formatted_answer.tool.casefold().strip()
@@ -1673,5 +1662,5 @@ class CrewAgentExecutor(BaseAgentExecutor):
            Formatted message dict.
        """
        return format_message_for_llm(
-            self._i18n.slice("feedback_instructions").format(feedback=feedback)
+            I18N_DEFAULT.slice("feedback_instructions").format(feedback=feedback)
        )
--- a/lib/crewai/src/crewai/agents/parser.py
+++ b/lib/crewai/src/crewai/agents/parser.py
@@ -19,10 +19,7 @@ from crewai.agents.constants import (
    MISSING_ACTION_INPUT_AFTER_ACTION_ERROR_MESSAGE,
    UNABLE_TO_REPAIR_JSON_RESULTS,
 )
-from crewai.utilities.i18n import get_i18n
-
-
-_I18N = get_i18n()
+from crewai.utilities.i18n import I18N_DEFAULT as _I18N


@dataclass
--- a/lib/crewai/src/crewai/agents/planner_observer.py
+++ b/lib/crewai/src/crewai/agents/planner_observer.py
@@ -23,7 +23,7 @@ from crewai.events.types.observation_events import (
    StepObservationStartedEvent,
 )
 from crewai.utilities.agent_utils import extract_task_section
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.llm_utils import create_llm
 from crewai.utilities.planning_types import StepObservation, TodoItem
 from crewai.utilities.types import LLMMessage
@@ -64,7 +64,6 @@ class PlannerObserver:
        self.task = task
        self.kickoff_input = kickoff_input
        self.llm = self._resolve_llm()
-        self._i18n: I18N = get_i18n()

    def _resolve_llm(self) -> Any:
        """Resolve which LLM to use for observation/planning.
@@ -246,7 +245,7 @@ class PlannerObserver:
            task_desc = extract_task_section(self.kickoff_input)
            task_goal = "Complete the task successfully"

-        system_prompt = self._i18n.retrieve("planning", "observation_system_prompt")
+        system_prompt = I18N_DEFAULT.retrieve("planning", "observation_system_prompt")

        # Build context of what's been done
        completed_summary = ""
@@ -273,7 +272,9 @@ class PlannerObserver:
                remaining_lines
            )

-        user_prompt = self._i18n.retrieve("planning", "observation_user_prompt").format(
+        user_prompt = I18N_DEFAULT.retrieve(
+            "planning", "observation_user_prompt"
+        ).format(
            task_description=task_desc,
            task_goal=task_goal,
            completed_summary=completed_summary,
--- a/lib/crewai/src/crewai/agents/step_executor.py
+++ b/lib/crewai/src/crewai/agents/step_executor.py
@@ -38,7 +38,7 @@ from crewai.utilities.agent_utils import (
    process_llm_response,
    setup_native_tools,
 )
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.planning_types import TodoItem
 from crewai.utilities.printer import PRINTER
 from crewai.utilities.step_execution_context import StepExecutionContext, StepResult
@@ -81,7 +81,7 @@ class StepExecutor:
        function_calling_llm: Optional separate LLM for function calling.
        request_within_rpm_limit: Optional RPM limit function.
        callbacks: Optional list of callbacks.
-        i18n: Optional i18n instance.
+
    """

    def __init__(
@@ -96,7 +96,6 @@ class StepExecutor:
        function_calling_llm: BaseLLM | None = None,
        request_within_rpm_limit: Callable[[], bool] | None = None,
        callbacks: list[Any] | None = None,
-        i18n: I18N | None = None,
    ) -> None:
        self.llm = llm
        self.tools = tools
@@ -108,7 +107,6 @@ class StepExecutor:
        self.function_calling_llm = function_calling_llm
        self.request_within_rpm_limit = request_within_rpm_limit
        self.callbacks = callbacks or []
-        self._i18n: I18N = i18n or get_i18n()

        # Native tool support — set up once
        self._use_native_tools = check_native_tool_support(
@@ -221,14 +219,14 @@ class StepExecutor:
        tools_section = ""
        if self.tools and not self._use_native_tools:
            tool_names = ", ".join(sanitize_tool_name(t.name) for t in self.tools)
-            tools_section = self._i18n.retrieve(
+            tools_section = I18N_DEFAULT.retrieve(
                "planning", "step_executor_tools_section"
            ).format(tool_names=tool_names)
        elif self.tools:
            tool_names = ", ".join(sanitize_tool_name(t.name) for t in self.tools)
            tools_section = f"\n\nAvailable tools: {tool_names}"

-        return self._i18n.retrieve("planning", "step_executor_system_prompt").format(
+        return I18N_DEFAULT.retrieve("planning", "step_executor_system_prompt").format(
            role=role,
            backstory=backstory,
            goal=goal,
@@ -247,7 +245,7 @@ class StepExecutor:
            task_section = extract_task_section(context.task_description)
            if task_section:
                parts.append(
-                    self._i18n.retrieve(
+                    I18N_DEFAULT.retrieve(
                        "planning", "step_executor_task_context"
                    ).format(
                        task_context=task_section,
@@ -255,14 +253,16 @@ class StepExecutor:
                )

        parts.append(
-            self._i18n.retrieve("planning", "step_executor_user_prompt").format(
+            I18N_DEFAULT.retrieve("planning", "step_executor_user_prompt").format(
                step_description=todo.description,
            )
        )

        if todo.tool_to_use:
            parts.append(
-                self._i18n.retrieve("planning", "step_executor_suggested_tool").format(
+                I18N_DEFAULT.retrieve(
+                    "planning", "step_executor_suggested_tool"
+                ).format(
                    tool_to_use=todo.tool_to_use,
                )
            )
@@ -270,16 +270,16 @@ class StepExecutor:
        # Include dependency results (final results only, no traces)
        if context.dependency_results:
            parts.append(
-                self._i18n.retrieve("planning", "step_executor_context_header")
+                I18N_DEFAULT.retrieve("planning", "step_executor_context_header")
            )
            for step_num, result in sorted(context.dependency_results.items()):
                parts.append(
-                    self._i18n.retrieve(
+                    I18N_DEFAULT.retrieve(
                        "planning", "step_executor_context_entry"
                    ).format(step_number=step_num, result=result)
                )

-        parts.append(self._i18n.retrieve("planning", "step_executor_complete_step"))
+        parts.append(I18N_DEFAULT.retrieve("planning", "step_executor_complete_step"))

        return "\n".join(parts)

@@ -375,7 +375,6 @@ class StepExecutor:
                agent_action=formatted,
                fingerprint_context=fingerprint_context,
                tools=self.tools,
-                i18n=self._i18n,
                agent_key=self.agent.key if self.agent else None,
                agent_role=self.agent.role if self.agent else None,
                tools_handler=self.tools_handler,
--- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.14.1rc1"
+    "crewai[tools]==1.14.2a1"
 ]

 [project.scripts]
--- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.14.1rc1"
+    "crewai[tools]==1.14.2a1"
 ]

 [project.scripts]
--- a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml
@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.14.1rc1"
+    "crewai[tools]==1.14.2a1"
 ]

 [tool.crewai]
--- a/lib/crewai/src/crewai/events/types/llm_events.py
+++ b/lib/crewai/src/crewai/events/types/llm_events.py
@@ -87,6 +87,7 @@ class LLMStreamChunkEvent(LLMEventBase):
    tool_call: ToolCall | None = None
    call_type: LLMCallType | None = None
    response_id: str | None = None
+    run_id: str | None = None


 class LLMThinkingChunkEvent(LLMEventBase):
--- a/lib/crewai/src/crewai/experimental/agent_executor.py
+++ b/lib/crewai/src/crewai/experimental/agent_executor.py
@@ -91,7 +91,7 @@ from crewai.utilities.agent_utils import (
    track_delegation_if_needed,
 )
 from crewai.utilities.constants import TRAINING_DATA_FILE
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.planning_types import (
    PlanStep,
    StepObservation,
@@ -189,7 +189,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
    )
    callbacks: list[Any] = Field(default_factory=list, exclude=True)
    response_model: type[BaseModel] | None = Field(default=None, exclude=True)
-    i18n: I18N | None = Field(default=None, exclude=True)
    log_error_after: int = Field(default=3, exclude=True)
    before_llm_call_hooks: list[BeforeLLMCallHookType | BeforeLLMCallHookCallable] = (
        Field(default_factory=list, exclude=True)
@@ -198,7 +197,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
        default_factory=list, exclude=True
    )

-    _i18n: I18N = PrivateAttr(default_factory=get_i18n)
    _console: Console = PrivateAttr(default_factory=Console)
    _last_parser_error: OutputParserError | None = PrivateAttr(default=None)
    _last_context_error: Exception | None = PrivateAttr(default=None)
@@ -214,7 +212,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
    @model_validator(mode="after")
    def _setup_executor(self) -> Self:
        """Configure executor after Pydantic field initialization."""
-        self._i18n = self.i18n or get_i18n()
        self.before_llm_call_hooks.extend(get_before_llm_call_hooks())
        self.after_llm_call_hooks.extend(get_after_llm_call_hooks())

@@ -363,7 +360,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
                function_calling_llm=self.function_calling_llm,
                request_within_rpm_limit=self.request_within_rpm_limit,
                callbacks=self.callbacks,
-                i18n=self._i18n,
            )
        return self._step_executor

@@ -1203,7 +1199,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
        formatted_answer = handle_max_iterations_exceeded(
            formatted_answer=None,
            printer=PRINTER,
-            i18n=self._i18n,
            messages=list(self.state.messages),
            llm=self.llm,
            callbacks=self.callbacks,
@@ -1430,7 +1425,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
                agent_action=action,
                fingerprint_context=fingerprint_context,
                tools=self.tools,
-                i18n=self._i18n,
                agent_key=self.agent.key if self.agent else None,
                agent_role=self.agent.role if self.agent else None,
                tools_handler=self.tools_handler,
@@ -1450,7 +1444,7 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
            action.result = str(e)
            self._append_message_to_state(action.text)

-            reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+            reasoning_prompt = I18N_DEFAULT.slice("post_tool_reasoning")
            reasoning_message: LLMMessage = {
                "role": "user",
                "content": reasoning_prompt,
@@ -1471,7 +1465,7 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
            self.state.is_finished = True
            return "tool_result_is_final"

-        reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+        reasoning_prompt = I18N_DEFAULT.slice("post_tool_reasoning")
        reasoning_message_post: LLMMessage = {
            "role": "user",
            "content": reasoning_prompt,
@@ -2222,10 +2216,10 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
        # Build synthesis prompt
        role = self.agent.role if self.agent else "Assistant"

-        system_prompt = self._i18n.retrieve(
+        system_prompt = I18N_DEFAULT.retrieve(
            "planning", "synthesis_system_prompt"
        ).format(role=role)
-        user_prompt = self._i18n.retrieve("planning", "synthesis_user_prompt").format(
+        user_prompt = I18N_DEFAULT.retrieve("planning", "synthesis_user_prompt").format(
            task_description=task_description,
            combined_steps=combined_steps,
        )
@@ -2472,7 +2466,7 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
            self.task.description if self.task else getattr(self, "_kickoff_input", "")
        )

-        enhancement = self._i18n.retrieve(
+        enhancement = I18N_DEFAULT.retrieve(
            "planning", "replan_enhancement_prompt"
        ).format(previous_context=previous_context)

@@ -2535,7 +2529,6 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
            messages=self.state.messages,
            llm=self.llm,
            callbacks=self.callbacks,
-            i18n=self._i18n,
            verbose=self.agent.verbose,
        )

@@ -2746,7 +2739,7 @@ class AgentExecutor(Flow[AgentExecutorState], BaseAgentExecutor):  # type: ignor
        Returns:
            Updated action or final answer.
        """
-        add_image_tool = self._i18n.tools("add_image")
+        add_image_tool = I18N_DEFAULT.tools("add_image")
        if (
            isinstance(add_image_tool, dict)
            and formatted_answer.tool.casefold().strip()
--- a/lib/crewai/src/crewai/flow/flow.py
+++ b/lib/crewai/src/crewai/flow/flow.py
@@ -1455,6 +1455,25 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
                "No pending feedback context. Use from_pending() to restore a paused flow."
            )

+        if get_current_parent_id() is None:
+            reset_emission_counter()
+            reset_last_event_id()
+
+        if not self.suppress_flow_events:
+            future = crewai_event_bus.emit(
+                self,
+                FlowStartedEvent(
+                    type="flow_started",
+                    flow_name=self.name or self.__class__.__name__,
+                    inputs=None,
+                ),
+            )
+            if future and isinstance(future, Future):
+                try:
+                    await asyncio.wrap_future(future)
+                except Exception:
+                    logger.warning("FlowStartedEvent handler failed", exc_info=True)
+
        context = self._pending_feedback_context
        emit = context.emit
        default_outcome = context.default_outcome
@@ -1594,16 +1613,39 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):

        final_result = self._method_outputs[-1] if self._method_outputs else result

-        # Emit flow finished
-        crewai_event_bus.emit(
-            self,
-            FlowFinishedEvent(
-                type="flow_finished",
-                flow_name=self.name or self.__class__.__name__,
-                result=final_result,
-                state=self._state,
-            ),
-        )
+        if self._event_futures:
+            await asyncio.gather(
+                *[
+                    asyncio.wrap_future(f)
+                    for f in self._event_futures
+                    if isinstance(f, Future)
+                ]
+            )
+            self._event_futures.clear()
+
+        if not self.suppress_flow_events:
+            future = crewai_event_bus.emit(
+                self,
+                FlowFinishedEvent(
+                    type="flow_finished",
+                    flow_name=self.name or self.__class__.__name__,
+                    result=final_result,
+                    state=self._copy_and_serialize_state(),
+                ),
+            )
+            if future and isinstance(future, Future):
+                try:
+                    await asyncio.wrap_future(future)
+                except Exception:
+                    logger.warning("FlowFinishedEvent handler failed", exc_info=True)
+
+            trace_listener = TraceCollectionListener()
+            if trace_listener.batch_manager.batch_owner_type == "flow":
+                if trace_listener.first_time_handler.is_first_time:
+                    trace_listener.first_time_handler.mark_events_collected()
+                    trace_listener.first_time_handler.handle_execution_completion()
+                else:
+                    trace_listener.batch_manager.finalize_batch()

        return final_result

@@ -3194,7 +3236,7 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):

        from crewai.llm import LLM
        from crewai.llms.base_llm import BaseLLM as BaseLLMClass
-        from crewai.utilities.i18n import get_i18n
+        from crewai.utilities.i18n import I18N_DEFAULT

        llm_instance: BaseLLMClass
        if isinstance(llm, str):
@@ -3214,9 +3256,7 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
                description=f"The outcome that best matches the feedback. Must be one of: {', '.join(outcomes)}"
            )

-        # Load prompt from translations (using cached instance)
-        i18n = get_i18n()
-        prompt_template = i18n.slice("human_feedback_collapse")
+        prompt_template = I18N_DEFAULT.slice("human_feedback_collapse")

        prompt = prompt_template.format(
            feedback=feedback,
--- a/lib/crewai/src/crewai/flow/human_feedback.py
+++ b/lib/crewai/src/crewai/flow/human_feedback.py
@@ -350,9 +350,9 @@ def human_feedback(

        def _get_hitl_prompt(key: str) -> str:
            """Read a HITL prompt from the i18n translations."""
-            from crewai.utilities.i18n import get_i18n
+            from crewai.utilities.i18n import I18N_DEFAULT

-            return get_i18n().slice(key)
+            return I18N_DEFAULT.slice(key)

        def _resolve_llm_instance() -> Any:
            """Resolve the ``llm`` parameter to a BaseLLM instance.
--- a/lib/crewai/src/crewai/lite_agent.py
+++ b/lib/crewai/src/crewai/lite_agent.py
@@ -89,7 +89,7 @@ from crewai.utilities.converter import (
 )
 from crewai.utilities.guardrail import process_guardrail
 from crewai.utilities.guardrail_types import GuardrailCallable, GuardrailType
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.llm_utils import create_llm
 from crewai.utilities.printer import PRINTER
 from crewai.utilities.pydantic_schema_utils import generate_model_description
@@ -227,9 +227,6 @@ class LiteAgent(FlowTrackable, BaseModel):
        default=None,
        description="Callback to check if the request is within the RPM8 limit",
    )
-    i18n: I18N = Field(
-        default_factory=get_i18n, description="Internationalization settings."
-    )
    response_format: type[BaseModel] | None = Field(
        default=None, description="Pydantic model for structured output"
    )
@@ -571,7 +568,7 @@ class LiteAgent(FlowTrackable, BaseModel):
                    f"- {m.record.content}" for m in matches
                )
            if memory_block:
-                formatted = self.i18n.slice("memory").format(memory=memory_block)
+                formatted = I18N_DEFAULT.slice("memory").format(memory=memory_block)
                if self._messages and self._messages[0].get("role") == "system":
                    existing_content = self._messages[0].get("content", "")
                    if not isinstance(existing_content, str):
@@ -644,7 +641,7 @@ class LiteAgent(FlowTrackable, BaseModel):
            try:
                model_schema = generate_model_description(active_response_format)
                schema = json.dumps(model_schema, indent=2)
-                instructions = self.i18n.slice("formatted_task_instructions").format(
+                instructions = I18N_DEFAULT.slice("formatted_task_instructions").format(
                    output_format=schema
                )

@@ -793,7 +790,9 @@ class LiteAgent(FlowTrackable, BaseModel):
        base_prompt = ""
        if self._parsed_tools:
            # Use the prompt template for agents with tools
-            base_prompt = self.i18n.slice("lite_agent_system_prompt_with_tools").format(
+            base_prompt = I18N_DEFAULT.slice(
+                "lite_agent_system_prompt_with_tools"
+            ).format(
                role=self.role,
                backstory=self.backstory,
                goal=self.goal,
@@ -802,7 +801,7 @@ class LiteAgent(FlowTrackable, BaseModel):
            )
        else:
            # Use the prompt template for agents without tools
-            base_prompt = self.i18n.slice(
+            base_prompt = I18N_DEFAULT.slice(
                "lite_agent_system_prompt_without_tools"
            ).format(
                role=self.role,
@@ -814,7 +813,7 @@ class LiteAgent(FlowTrackable, BaseModel):
        if active_response_format:
            model_description = generate_model_description(active_response_format)
            schema_json = json.dumps(model_description, indent=2)
-            base_prompt += self.i18n.slice("lite_agent_response_format").format(
+            base_prompt += I18N_DEFAULT.slice("lite_agent_response_format").format(
                response_format=schema_json
            )

@@ -875,7 +874,6 @@ class LiteAgent(FlowTrackable, BaseModel):
                    formatted_answer = handle_max_iterations_exceeded(
                        formatted_answer,
                        printer=PRINTER,
-                        i18n=self.i18n,
                        messages=self._messages,
                        llm=cast(LLM, self.llm),
                        callbacks=self._callbacks,
@@ -914,7 +912,6 @@ class LiteAgent(FlowTrackable, BaseModel):
                        tool_result = execute_tool_and_check_finality(
                            agent_action=formatted_answer,
                            tools=self._parsed_tools,
-                            i18n=self.i18n,
                            agent_key=self.key,
                            agent_role=self.role,
                            agent=self.original_agent,
@@ -956,7 +953,6 @@ class LiteAgent(FlowTrackable, BaseModel):
                        messages=self._messages,
                        llm=cast(LLM, self.llm),
                        callbacks=self._callbacks,
-                        i18n=self.i18n,
                        verbose=self.verbose,
                    )
                    continue
--- a/lib/crewai/src/crewai/llm.py
+++ b/lib/crewai/src/crewai/llm.py
@@ -38,6 +38,7 @@ from crewai.llms.base_llm import (
    get_current_call_id,
    llm_call_context,
 )
+from crewai.utilities.streaming import get_current_stream_run_id
 from crewai.llms.constants import (
    ANTHROPIC_MODELS,
    AZURE_MODELS,
@@ -790,6 +791,7 @@ class LLM(BaseLLM):
                            call_type=LLMCallType.LLM_CALL,
                            response_id=response_id,
                            call_id=get_current_call_id(),
+                            run_id=get_current_stream_run_id(),
                        ),
                    )
            # --- 4) Fallback to non-streaming if no content received
@@ -1003,6 +1005,7 @@ class LLM(BaseLLM):
                    call_type=LLMCallType.TOOL_CALL,
                    response_id=response_id,
                    call_id=get_current_call_id(),
+                    run_id=get_current_stream_run_id(),
                ),
            )

@@ -1456,6 +1459,7 @@ class LLM(BaseLLM):
                            from_agent=from_agent,
                            response_id=response_id,
                            call_id=get_current_call_id(),
+                            run_id=get_current_stream_run_id(),
                        ),
                    )

--- a/lib/crewai/src/crewai/llms/base_llm.py
+++ b/lib/crewai/src/crewai/llms/base_llm.py
@@ -36,6 +36,7 @@ from crewai.events.types.llm_events import (
    LLMStreamChunkEvent,
    LLMThinkingChunkEvent,
 )
+from crewai.utilities.streaming import get_current_stream_run_id
 from crewai.events.types.tool_usage_events import (
    ToolUsageErrorEvent,
    ToolUsageFinishedEvent,
@@ -527,6 +528,7 @@ class BaseLLM(BaseModel, ABC):
                call_type=call_type,
                response_id=response_id,
                call_id=get_current_call_id(),
+                run_id=get_current_stream_run_id(),
            ),
        )

--- a/lib/crewai/src/crewai/memory/analyze.py
+++ b/lib/crewai/src/crewai/memory/analyze.py
@@ -9,7 +9,7 @@ from typing import Any
 from pydantic import BaseModel, ConfigDict, Field

 from crewai.memory.types import MemoryRecord, ScopeInfo
-from crewai.utilities.i18n import get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT


 _logger = logging.getLogger(__name__)
@@ -149,7 +149,7 @@ def _get_prompt(key: str) -> str:
    Returns:
        The prompt string.
    """
-    return get_i18n().memory(key)
+    return I18N_DEFAULT.memory(key)


 def extract_memories_from_content(content: str, llm: Any) -> list[str]:
--- a/lib/crewai/src/crewai/task.py
+++ b/lib/crewai/src/crewai/task.py
@@ -80,7 +80,7 @@ from crewai.utilities.guardrail_types import (
    GuardrailType,
    GuardrailsType,
 )
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.printer import PRINTER
 from crewai.utilities.string_utils import interpolate_only

@@ -115,7 +115,6 @@ class Task(BaseModel):
    used_tools: int = 0
    tools_errors: int = 0
    delegations: int = 0
-    i18n: I18N = Field(default_factory=get_i18n)
    name: str | None = Field(default=None)
    prompt_context: str | None = None
    description: str = Field(description="Description of the actual task.")
@@ -896,7 +895,7 @@ class Task(BaseModel):

        tasks_slices = [description]

-        output = self.i18n.slice("expected_output").format(
+        output = I18N_DEFAULT.slice("expected_output").format(
            expected_output=self.expected_output
        )
        tasks_slices = [description, output]
@@ -968,7 +967,7 @@ Follow these guidelines:
                raise ValueError(f"Error interpolating output_file path: {e!s}") from e

        if inputs.get("crew_chat_messages"):
-            conversation_instruction = self.i18n.slice(
+            conversation_instruction = I18N_DEFAULT.slice(
                "conversation_history_instruction"
            )

@@ -1219,7 +1218,7 @@ Follow these guidelines:
                self.retry_count += 1
                current_retry_count = self.retry_count

-            context = self.i18n.errors("validation_error").format(
+            context = I18N_DEFAULT.errors("validation_error").format(
                guardrail_result_error=guardrail_result.error,
                task_output=task_output.raw,
            )
@@ -1316,7 +1315,7 @@ Follow these guidelines:
                self.retry_count += 1
                current_retry_count = self.retry_count

-            context = self.i18n.errors("validation_error").format(
+            context = I18N_DEFAULT.errors("validation_error").format(
                guardrail_result_error=guardrail_result.error,
                task_output=task_output.raw,
            )
--- a/lib/crewai/src/crewai/telemetry/telemetry.py
+++ b/lib/crewai/src/crewai/telemetry/telemetry.py
@@ -52,6 +52,7 @@ from crewai.telemetry.utils import (
    add_crew_attributes,
    close_span,
 )
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.logger_utils import suppress_warnings
 from crewai.utilities.string_utils import sanitize_tool_name

@@ -314,7 +315,7 @@ class Telemetry:
                                "verbose?": agent.verbose,
                                "max_iter": agent.max_iter,
                                "max_rpm": agent.max_rpm,
-                                "i18n": agent.i18n.prompt_file,
+                                "i18n": I18N_DEFAULT.prompt_file,
                                "function_calling_llm": (
                                    getattr(
                                        getattr(agent, "function_calling_llm", None),
@@ -844,7 +845,7 @@ class Telemetry:
                            "verbose?": agent.verbose,
                            "max_iter": agent.max_iter,
                            "max_rpm": agent.max_rpm,
-                            "i18n": agent.i18n.prompt_file,
+                            "i18n": I18N_DEFAULT.prompt_file,
                            "llm": agent.llm.model
                            if isinstance(agent.llm, BaseLLM)
                            else str(agent.llm),
--- a/lib/crewai/src/crewai/tools/agent_tools/add_image_tool.py
+++ b/lib/crewai/src/crewai/tools/agent_tools/add_image_tool.py
@@ -3,10 +3,7 @@ from typing import Any
 from pydantic import BaseModel, Field

 from crewai.tools.base_tool import BaseTool
-from crewai.utilities import I18N
-
-
-i18n = I18N()
+from crewai.utilities.i18n import I18N_DEFAULT


 class AddImageToolSchema(BaseModel):
@@ -19,9 +16,9 @@ class AddImageToolSchema(BaseModel):
 class AddImageTool(BaseTool):
    """Tool for adding images to the content"""

-    name: str = Field(default_factory=lambda: i18n.tools("add_image")["name"])  # type: ignore[index]
+    name: str = Field(default_factory=lambda: I18N_DEFAULT.tools("add_image")["name"])  # type: ignore[index]
    description: str = Field(
-        default_factory=lambda: i18n.tools("add_image")["description"]  # type: ignore[index]
+        default_factory=lambda: I18N_DEFAULT.tools("add_image")["description"]  # type: ignore[index]
    )
    args_schema: type[BaseModel] = AddImageToolSchema

@@ -31,7 +28,7 @@ class AddImageTool(BaseTool):
        action: str | None = None,
        **kwargs: Any,
    ) -> dict[str, Any]:
-        action = action or i18n.tools("add_image")["default_action"]  # type: ignore
+        action = action or I18N_DEFAULT.tools("add_image")["default_action"]  # type: ignore
        content = [
            {"type": "text", "text": action},
            {
--- a/lib/crewai/src/crewai/tools/agent_tools/agent_tools.py
+++ b/lib/crewai/src/crewai/tools/agent_tools/agent_tools.py
@@ -5,21 +5,19 @@ from typing import TYPE_CHECKING

 from crewai.tools.agent_tools.ask_question_tool import AskQuestionTool
 from crewai.tools.agent_tools.delegate_work_tool import DelegateWorkTool
-from crewai.utilities.i18n import get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT


 if TYPE_CHECKING:
    from crewai.agents.agent_builder.base_agent import BaseAgent
    from crewai.tools.base_tool import BaseTool
-    from crewai.utilities.i18n import I18N


 class AgentTools:
    """Manager class for agent-related tools"""

-    def __init__(self, agents: Sequence[BaseAgent], i18n: I18N | None = None) -> None:
+    def __init__(self, agents: Sequence[BaseAgent]) -> None:
        self.agents = agents
-        self.i18n = i18n if i18n is not None else get_i18n()

    def tools(self) -> list[BaseTool]:
        """Get all available agent tools"""
@@ -27,14 +25,12 @@ class AgentTools:

        delegate_tool = DelegateWorkTool(
            agents=self.agents,
-            i18n=self.i18n,
-            description=self.i18n.tools("delegate_work").format(coworkers=coworkers),  # type: ignore
+            description=I18N_DEFAULT.tools("delegate_work").format(coworkers=coworkers),  # type: ignore
        )

        ask_tool = AskQuestionTool(
            agents=self.agents,
-            i18n=self.i18n,
-            description=self.i18n.tools("ask_question").format(coworkers=coworkers),  # type: ignore
+            description=I18N_DEFAULT.tools("ask_question").format(coworkers=coworkers),  # type: ignore
        )

        return [delegate_tool, ask_tool]
--- a/lib/crewai/src/crewai/tools/agent_tools/base_agent_tools.py
+++ b/lib/crewai/src/crewai/tools/agent_tools/base_agent_tools.py
@@ -6,7 +6,7 @@ from pydantic import Field
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.task import Task
 from crewai.tools.base_tool import BaseTool
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT


 logger = logging.getLogger(__name__)
@@ -16,9 +16,6 @@ class BaseAgentTool(BaseTool):
    """Base class for agent-related tools"""

    agents: list[BaseAgent] = Field(description="List of available agents")
-    i18n: I18N = Field(
-        default_factory=get_i18n, description="Internationalization settings"
-    )

    def sanitize_agent_name(self, name: str) -> str:
        """
@@ -93,7 +90,7 @@ class BaseAgentTool(BaseTool):
            )
        except (AttributeError, ValueError) as e:
            # Handle specific exceptions that might occur during role name processing
-            return self.i18n.errors("agent_tool_unexisting_coworker").format(
+            return I18N_DEFAULT.errors("agent_tool_unexisting_coworker").format(
                coworkers="\n".join(
                    [
                        f"- {self.sanitize_agent_name(agent.role)}"
@@ -105,7 +102,7 @@ class BaseAgentTool(BaseTool):

        if not agent:
            # No matching agent found after sanitization
-            return self.i18n.errors("agent_tool_unexisting_coworker").format(
+            return I18N_DEFAULT.errors("agent_tool_unexisting_coworker").format(
                coworkers="\n".join(
                    [
                        f"- {self.sanitize_agent_name(agent.role)}"
@@ -120,8 +117,7 @@ class BaseAgentTool(BaseTool):
            task_with_assigned_agent = Task(
                description=task,
                agent=selected_agent,
-                expected_output=selected_agent.i18n.slice("manager_request"),
-                i18n=selected_agent.i18n,
+                expected_output=I18N_DEFAULT.slice("manager_request"),
            )
            logger.debug(
                f"Created task for agent '{self.sanitize_agent_name(selected_agent.role)}': {task}"
@@ -129,6 +125,6 @@ class BaseAgentTool(BaseTool):
            return selected_agent.execute_task(task_with_assigned_agent, context)
        except Exception as e:
            # Handle task creation or execution errors
-            return self.i18n.errors("agent_tool_execution_error").format(
+            return I18N_DEFAULT.errors("agent_tool_execution_error").format(
                agent_role=self.sanitize_agent_name(selected_agent.role), error=str(e)
            )
--- a/lib/crewai/src/crewai/tools/memory_tools.py
+++ b/lib/crewai/src/crewai/tools/memory_tools.py
@@ -7,7 +7,7 @@ from typing import Any
 from pydantic import BaseModel, Field

 from crewai.tools.base_tool import BaseTool
-from crewai.utilities.i18n import get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT


 class RecallMemorySchema(BaseModel):
@@ -114,18 +114,17 @@ def create_memory_tools(memory: Any) -> list[BaseTool]:
    Returns:
        List containing a RecallMemoryTool and, if not read-only, a RememberTool.
    """
-    i18n = get_i18n()
    tools: list[BaseTool] = [
        RecallMemoryTool(
            memory=memory,
-            description=i18n.tools("recall_memory"),
+            description=I18N_DEFAULT.tools("recall_memory"),
        ),
    ]
    if not memory.read_only:
        tools.append(
            RememberTool(
                memory=memory,
-                description=i18n.tools("save_to_memory"),
+                description=I18N_DEFAULT.tools("save_to_memory"),
            )
        )
    return tools
--- a/lib/crewai/src/crewai/tools/tool_usage.py
+++ b/lib/crewai/src/crewai/tools/tool_usage.py
@@ -28,7 +28,7 @@ from crewai.utilities.agent_utils import (
    render_text_description_and_args,
 )
 from crewai.utilities.converter import Converter
-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.printer import PRINTER
 from crewai.utilities.string_utils import sanitize_tool_name

@@ -93,7 +93,6 @@ class ToolUsage:
        action: Any = None,
        fingerprint_context: dict[str, str] | None = None,
    ) -> None:
-        self._i18n: I18N = agent.i18n if agent else get_i18n()
        self._telemetry: Telemetry = Telemetry()
        self._run_attempts: int = 1
        self._max_parsing_attempts: int = 3
@@ -146,7 +145,7 @@ class ToolUsage:
        if (
            isinstance(tool, CrewStructuredTool)
            and sanitize_tool_name(tool.name)
-            == sanitize_tool_name(self._i18n.tools("add_image")["name"])  # type: ignore
+            == sanitize_tool_name(I18N_DEFAULT.tools("add_image")["name"])  # type: ignore
        ):
            try:
                return self._use(tool_string=tool_string, tool=tool, calling=calling)
@@ -194,7 +193,7 @@ class ToolUsage:
        if (
            isinstance(tool, CrewStructuredTool)
            and sanitize_tool_name(tool.name)
-            == sanitize_tool_name(self._i18n.tools("add_image")["name"])  # type: ignore
+            == sanitize_tool_name(I18N_DEFAULT.tools("add_image")["name"])  # type: ignore
        ):
            try:
                return await self._ause(
@@ -230,7 +229,7 @@ class ToolUsage:
        """
        if self._check_tool_repeated_usage(calling=calling):
            try:
-                result = self._i18n.errors("task_repeated_usage").format(
+                result = I18N_DEFAULT.errors("task_repeated_usage").format(
                    tool_names=self.tools_names
                )
                self._telemetry.tool_repeated_usage(
@@ -415,7 +414,7 @@ class ToolUsage:
                    self._run_attempts += 1
                    if self._run_attempts > self._max_parsing_attempts:
                        self._telemetry.tool_usage_error(llm=self.function_calling_llm)
-                        error_message = self._i18n.errors(
+                        error_message = I18N_DEFAULT.errors(
                            "tool_usage_exception"
                        ).format(
                            error=e,
@@ -423,7 +422,7 @@ class ToolUsage:
                            tool_inputs=tool.description,
                        )
                        result = ToolUsageError(
-                            f"\n{error_message}.\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
+                            f"\n{error_message}.\nMoving on then. {I18N_DEFAULT.slice('format').format(tool_names=self.tools_names)}"
                        ).message
                        if self.task:
                            self.task.increment_tools_errors()
@@ -461,7 +460,7 @@ class ToolUsage:
        # Repeated usage check happens before event emission - safe to return early
        if self._check_tool_repeated_usage(calling=calling):
            try:
-                result = self._i18n.errors("task_repeated_usage").format(
+                result = I18N_DEFAULT.errors("task_repeated_usage").format(
                    tool_names=self.tools_names
                )
                self._telemetry.tool_repeated_usage(
@@ -648,7 +647,7 @@ class ToolUsage:
                    self._run_attempts += 1
                    if self._run_attempts > self._max_parsing_attempts:
                        self._telemetry.tool_usage_error(llm=self.function_calling_llm)
-                        error_message = self._i18n.errors(
+                        error_message = I18N_DEFAULT.errors(
                            "tool_usage_exception"
                        ).format(
                            error=e,
@@ -656,7 +655,7 @@ class ToolUsage:
                            tool_inputs=tool.description,
                        )
                        result = ToolUsageError(
-                            f"\n{error_message}.\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
+                            f"\n{error_message}.\nMoving on then. {I18N_DEFAULT.slice('format').format(tool_names=self.tools_names)}"
                        ).message
                        if self.task:
                            self.task.increment_tools_errors()
@@ -699,7 +698,7 @@ class ToolUsage:

    def _remember_format(self, result: str) -> str:
        result = str(result)
-        result += "\n\n" + self._i18n.slice("tools").format(
+        result += "\n\n" + I18N_DEFAULT.slice("tools").format(
            tools=self.tools_description, tool_names=self.tools_names
        )
        return result
@@ -825,12 +824,12 @@ class ToolUsage:
        except Exception:
            if raise_error:
                raise
-            return ToolUsageError(f"{self._i18n.errors('tool_arguments_error')}")
+            return ToolUsageError(f"{I18N_DEFAULT.errors('tool_arguments_error')}")

        if not isinstance(arguments, dict):
            if raise_error:
                raise
-            return ToolUsageError(f"{self._i18n.errors('tool_arguments_error')}")
+            return ToolUsageError(f"{I18N_DEFAULT.errors('tool_arguments_error')}")

        return ToolCalling(
            tool_name=sanitize_tool_name(tool.name),
@@ -856,7 +855,7 @@ class ToolUsage:
                if self.agent and self.agent.verbose:
                    PRINTER.print(content=f"\n\n{e}\n", color="red")
                return ToolUsageError(
-                    f"{self._i18n.errors('tool_usage_error').format(error=e)}\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
+                    f"{I18N_DEFAULT.errors('tool_usage_error').format(error=e)}\nMoving on then. {I18N_DEFAULT.slice('format').format(tool_names=self.tools_names)}"
                )
            return self._tool_calling(tool_string)

--- a/lib/crewai/src/crewai/utilities/agent_utils.py
+++ b/lib/crewai/src/crewai/utilities/agent_utils.py
@@ -31,7 +31,7 @@ from crewai.utilities.errors import AgentRepositoryError
 from crewai.utilities.exceptions.context_window_exceeding_exception import (
    LLMContextLengthExceededError,
 )
-from crewai.utilities.i18n import I18N
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.printer import PRINTER, ColoredText, Printer
 from crewai.utilities.pydantic_schema_utils import generate_model_description
 from crewai.utilities.string_utils import sanitize_tool_name
@@ -254,7 +254,6 @@ def has_reached_max_iterations(iterations: int, max_iterations: int) -> bool:
 def handle_max_iterations_exceeded(
    formatted_answer: AgentAction | AgentFinish | None,
    printer: Printer,
-    i18n: I18N,
    messages: list[LLMMessage],
    llm: LLM | BaseLLM,
    callbacks: list[TokenCalcHandler],
@@ -265,7 +264,6 @@ def handle_max_iterations_exceeded(
    Args:
        formatted_answer: The last formatted answer from the agent.
        printer: Printer instance for output.
-        i18n: I18N instance for internationalization.
        messages: List of messages to send to the LLM.
        llm: The LLM instance to call.
        callbacks: List of callbacks for the LLM call.
@@ -282,10 +280,10 @@ def handle_max_iterations_exceeded(

    if formatted_answer and hasattr(formatted_answer, "text"):
        assistant_message = (
-            formatted_answer.text + f"\n{i18n.errors('force_final_answer')}"
+            formatted_answer.text + f"\n{I18N_DEFAULT.errors('force_final_answer')}"
        )
    else:
-        assistant_message = i18n.errors("force_final_answer")
+        assistant_message = I18N_DEFAULT.errors("force_final_answer")

    messages.append(format_message_for_llm(assistant_message, role="assistant"))

@@ -687,7 +685,6 @@ def handle_context_length(
    messages: list[LLMMessage],
    llm: LLM | BaseLLM,
    callbacks: list[TokenCalcHandler],
-    i18n: I18N,
    verbose: bool = True,
 ) -> None:
    """Handle context length exceeded by either summarizing or raising an error.
@@ -698,7 +695,6 @@ def handle_context_length(
        messages: List of messages to summarize
        llm: LLM instance for summarization
        callbacks: List of callbacks for LLM
-        i18n: I18N instance for messages

    Raises:
        SystemExit: If context length is exceeded and user opts not to summarize
@@ -710,7 +706,7 @@ def handle_context_length(
                color="yellow",
            )
        summarize_messages(
-            messages=messages, llm=llm, callbacks=callbacks, i18n=i18n, verbose=verbose
+            messages=messages, llm=llm, callbacks=callbacks, verbose=verbose
        )
    else:
        if verbose:
@@ -863,7 +859,6 @@ async def _asummarize_chunks(
    chunks: list[list[LLMMessage]],
    llm: LLM | BaseLLM,
    callbacks: list[TokenCalcHandler],
-    i18n: I18N,
 ) -> list[SummaryContent]:
    """Summarize multiple message chunks concurrently using asyncio.

@@ -871,7 +866,6 @@ async def _asummarize_chunks(
        chunks: List of message chunks to summarize.
        llm: LLM instance (must support ``acall``).
        callbacks: List of callbacks for the LLM.
-        i18n: I18N instance for prompt templates.

    Returns:
        Ordered list of summary contents, one per chunk.
@@ -881,10 +875,10 @@ async def _asummarize_chunks(
        conversation_text = _format_messages_for_summary(chunk)
        summarization_messages = [
            format_message_for_llm(
-                i18n.slice("summarizer_system_message"), role="system"
+                I18N_DEFAULT.slice("summarizer_system_message"), role="system"
            ),
            format_message_for_llm(
-                i18n.slice("summarize_instruction").format(
+                I18N_DEFAULT.slice("summarize_instruction").format(
                    conversation=conversation_text
                ),
            ),
@@ -901,7 +895,6 @@ def summarize_messages(
    messages: list[LLMMessage],
    llm: LLM | BaseLLM,
    callbacks: list[TokenCalcHandler],
-    i18n: I18N,
    verbose: bool = True,
 ) -> None:
    """Summarize messages to fit within context window.
@@ -917,7 +910,6 @@ def summarize_messages(
        messages: List of messages to summarize (modified in-place)
        llm: LLM instance for summarization
        callbacks: List of callbacks for LLM
-        i18n: I18N instance for messages
        verbose: Whether to print progress.
    """
    # 1. Extract & preserve file attachments from user messages
@@ -953,10 +945,10 @@ def summarize_messages(
            conversation_text = _format_messages_for_summary(chunk)
            summarization_messages = [
                format_message_for_llm(
-                    i18n.slice("summarizer_system_message"), role="system"
+                    I18N_DEFAULT.slice("summarizer_system_message"), role="system"
                ),
                format_message_for_llm(
-                    i18n.slice("summarize_instruction").format(
+                    I18N_DEFAULT.slice("summarize_instruction").format(
                        conversation=conversation_text
                    ),
                ),
@@ -971,9 +963,7 @@ def summarize_messages(
                content=f"Summarizing {total_chunks} chunks in parallel...",
                color="yellow",
            )
-        coro = _asummarize_chunks(
-            chunks=chunks, llm=llm, callbacks=callbacks, i18n=i18n
-        )
+        coro = _asummarize_chunks(chunks=chunks, llm=llm, callbacks=callbacks)
        if is_inside_event_loop():
            ctx = contextvars.copy_context()
            with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
@@ -988,7 +978,7 @@ def summarize_messages(
    messages.extend(system_messages)

    summary_message = format_message_for_llm(
-        i18n.slice("summary").format(merged_summary=merged_summary)
+        I18N_DEFAULT.slice("summary").format(merged_summary=merged_summary)
    )
    if preserved_files:
        summary_message["files"] = preserved_files
--- a/lib/crewai/src/crewai/utilities/converter.py
+++ b/lib/crewai/src/crewai/utilities/converter.py
@@ -8,7 +8,7 @@ from pydantic import BaseModel, ValidationError
 from typing_extensions import Unpack

 from crewai.agents.agent_builder.utilities.base_output_converter import OutputConverter
-from crewai.utilities.i18n import get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.internal_instructor import InternalInstructor
 from crewai.utilities.printer import PRINTER
 from crewai.utilities.pydantic_schema_utils import generate_model_description
@@ -21,7 +21,7 @@ if TYPE_CHECKING:
    from crewai.llms.base_llm import BaseLLM

 _JSON_PATTERN: Final[re.Pattern[str]] = re.compile(r"({.*})", re.DOTALL)
-_I18N = get_i18n()
+_I18N = I18N_DEFAULT


 class ConverterError(Exception):
--- a/lib/crewai/src/crewai/utilities/evaluators/task_evaluator.py
+++ b/lib/crewai/src/crewai/utilities/evaluators/task_evaluator.py
@@ -8,7 +8,7 @@ from pydantic import BaseModel, Field
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.task_events import TaskEvaluationEvent
 from crewai.utilities.converter import Converter
-from crewai.utilities.i18n import get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.pydantic_schema_utils import generate_model_description
 from crewai.utilities.training_converter import TrainingConverter

@@ -98,11 +98,9 @@ class TaskEvaluator:

        if not self.llm.supports_function_calling():  # type: ignore[union-attr]
            schema_dict = generate_model_description(TaskEvaluation)
-            output_schema: str = (
-                get_i18n()
-                .slice("formatted_task_instructions")
-                .format(output_format=json.dumps(schema_dict, indent=2))
-            )
+            output_schema: str = I18N_DEFAULT.slice(
+                "formatted_task_instructions"
+            ).format(output_format=json.dumps(schema_dict, indent=2))
            instructions = f"{instructions}\n\n{output_schema}"

        converter = Converter(
@@ -174,11 +172,9 @@ class TaskEvaluator:

        if not self.llm.supports_function_calling():  # type: ignore[union-attr]
            schema_dict = generate_model_description(TrainingTaskEvaluation)
-            output_schema: str = (
-                get_i18n()
-                .slice("formatted_task_instructions")
-                .format(output_format=json.dumps(schema_dict, indent=2))
-            )
+            output_schema: str = I18N_DEFAULT.slice(
+                "formatted_task_instructions"
+            ).format(output_format=json.dumps(schema_dict, indent=2))
            instructions = f"{instructions}\n\n{output_schema}"

        converter = TrainingConverter(
--- a/lib/crewai/src/crewai/utilities/i18n.py
+++ b/lib/crewai/src/crewai/utilities/i18n.py
@@ -142,3 +142,6 @@ def get_i18n(prompt_file: str | None = None) -> I18N:
        Cached I18N instance.
    """
    return I18N(prompt_file=prompt_file)
+
+
+I18N_DEFAULT: I18N = get_i18n()
--- a/lib/crewai/src/crewai/utilities/prompts.py
+++ b/lib/crewai/src/crewai/utilities/prompts.py
@@ -6,7 +6,7 @@ from typing import Any, Literal

 from pydantic import BaseModel, Field

-from crewai.utilities.i18n import I18N, get_i18n
+from crewai.utilities.i18n import I18N_DEFAULT


 class StandardPromptResult(BaseModel):
@@ -49,7 +49,6 @@ class Prompts(BaseModel):
        - Need to refactor so that prompt is not tightly coupled to agent.
    """

-    i18n: I18N = Field(default_factory=get_i18n)
    has_tools: bool = Field(
        default=False, description="Indicates if the agent has access to tools"
    )
@@ -140,13 +139,13 @@ class Prompts(BaseModel):
        if not system_template or not prompt_template:
            # If any of the required templates are missing, fall back to the default format
            prompt_parts: list[str] = [
-                self.i18n.slice(component) for component in components
+                I18N_DEFAULT.slice(component) for component in components
            ]
            prompt = "".join(prompt_parts)
        else:
            # All templates are provided, use them
            template_parts: list[str] = [
-                self.i18n.slice(component)
+                I18N_DEFAULT.slice(component)
                for component in components
                if component != "task"
            ]
@@ -154,7 +153,7 @@ class Prompts(BaseModel):
                "{{ .System }}", "".join(template_parts)
            )
            prompt = prompt_template.replace(
-                "{{ .Prompt }}", "".join(self.i18n.slice("task"))
+                "{{ .Prompt }}", "".join(I18N_DEFAULT.slice("task"))
            )
            # Handle missing response_template
            if response_template:
--- a/lib/crewai/src/crewai/utilities/reasoning_handler.py
+++ b/lib/crewai/src/crewai/utilities/reasoning_handler.py
@@ -15,6 +15,7 @@ from crewai.events.types.reasoning_events import (
    AgentReasoningStartedEvent,
 )
 from crewai.llm import LLM
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.llm_utils import create_llm
 from crewai.utilities.planning_types import PlanStep
 from crewai.utilities.string_utils import sanitize_tool_name
@@ -481,17 +482,17 @@ class AgentReasoning:
        """Get the system prompt for planning.

        Returns:
-            The system prompt, either custom or from i18n.
+            The system prompt, either custom or from I18N_DEFAULT.
        """
        if self.config.system_prompt is not None:
            return self.config.system_prompt

        # Try new "planning" section first, fall back to "reasoning" for compatibility
        try:
-            return self.agent.i18n.retrieve("planning", "system_prompt")
+            return I18N_DEFAULT.retrieve("planning", "system_prompt")
        except (KeyError, AttributeError):
            # Fallback to reasoning section for backward compatibility
-            return self.agent.i18n.retrieve("reasoning", "initial_plan").format(
+            return I18N_DEFAULT.retrieve("reasoning", "initial_plan").format(
                role=self.agent.role,
                goal=self.agent.goal,
                backstory=self._get_agent_backstory(),
@@ -527,7 +528,7 @@ class AgentReasoning:

        # Try new "planning" section first
        try:
-            return self.agent.i18n.retrieve("planning", "create_plan_prompt").format(
+            return I18N_DEFAULT.retrieve("planning", "create_plan_prompt").format(
                description=self.description,
                expected_output=self.expected_output,
                tools=available_tools,
@@ -535,7 +536,7 @@ class AgentReasoning:
            )
        except (KeyError, AttributeError):
            # Fallback to reasoning section for backward compatibility
-            return self.agent.i18n.retrieve("reasoning", "create_plan_prompt").format(
+            return I18N_DEFAULT.retrieve("reasoning", "create_plan_prompt").format(
                role=self.agent.role,
                goal=self.agent.goal,
                backstory=self._get_agent_backstory(),
@@ -584,12 +585,12 @@ class AgentReasoning:

        # Try new "planning" section first
        try:
-            return self.agent.i18n.retrieve("planning", "refine_plan_prompt").format(
+            return I18N_DEFAULT.retrieve("planning", "refine_plan_prompt").format(
                current_plan=current_plan,
            )
        except (KeyError, AttributeError):
            # Fallback to reasoning section for backward compatibility
-            return self.agent.i18n.retrieve("reasoning", "refine_plan_prompt").format(
+            return I18N_DEFAULT.retrieve("reasoning", "refine_plan_prompt").format(
                role=self.agent.role,
                goal=self.agent.goal,
                backstory=self._get_agent_backstory(),
@@ -642,7 +643,7 @@ def _call_llm_with_reasoning_prompt(
    Returns:
        The LLM response.
    """
-    system_prompt = reasoning_agent.i18n.retrieve("reasoning", plan_type).format(
+    system_prompt = I18N_DEFAULT.retrieve("reasoning", plan_type).format(
        role=reasoning_agent.role,
        goal=reasoning_agent.goal,
        backstory=backstory,
--- a/lib/crewai/src/crewai/utilities/streaming.py
+++ b/lib/crewai/src/crewai/utilities/streaming.py
@@ -7,6 +7,7 @@ import logging
 import queue
 import threading
 from typing import Any, NamedTuple
+import uuid

 from typing_extensions import TypedDict

@@ -25,6 +26,17 @@ from crewai.utilities.string_utils import sanitize_tool_name

 logger = logging.getLogger(__name__)

+# ContextVar that tracks the current streaming run_id.
+# Set by create_streaming_state() so that LLM emit paths can stamp events.
+_current_stream_run_id: contextvars.ContextVar[str | None] = contextvars.ContextVar(
+    "_current_stream_run_id", default=None
+)
+
+
+def get_current_stream_run_id() -> str | None:
+    """Return the active streaming run_id for the current context, if any."""
+    return _current_stream_run_id.get()
+

 class TaskInfo(TypedDict):
    """Task context information for streaming."""
@@ -106,6 +118,7 @@ def _create_stream_handler(
    sync_queue: queue.Queue[StreamChunk | None | Exception],
    async_queue: asyncio.Queue[StreamChunk | None | Exception] | None = None,
    loop: asyncio.AbstractEventLoop | None = None,
+    run_id: str | None = None,
 ) -> Callable[[Any, BaseEvent], None]:
    """Create a stream handler function.

@@ -114,6 +127,9 @@ def _create_stream_handler(
        sync_queue: Synchronous queue for chunks.
        async_queue: Optional async queue for chunks.
        loop: Optional event loop for async operations.
+        run_id: Unique identifier for this streaming run. When set, the handler
+            only accepts events whose ``run_id`` matches, preventing cross-run
+            chunk contamination in concurrent streaming scenarios.

    Returns:
        Handler function that can be registered with the event bus.
@@ -129,6 +145,10 @@ def _create_stream_handler(
        if not isinstance(event, LLMStreamChunkEvent):
            return

+        # Filter: only accept events belonging to this streaming run.
+        if run_id is not None and event.run_id is not None and event.run_id != run_id:
+            return
+
        chunk = _create_stream_chunk(event, current_task_info)

        if async_queue is not None and loop is not None:
@@ -187,6 +207,16 @@ def create_streaming_state(
 ) -> StreamingState:
    """Create and register streaming state.

+    Each call assigns a ``run_id`` that is:
+    * stored in a ``contextvars.ContextVar`` so that downstream LLM emit
+      paths can stamp ``LLMStreamChunkEvent.run_id`` automatically, and
+    * passed to the stream handler so it only accepts events with a
+      matching ``run_id``, preventing cross-run chunk contamination.
+
+    If the current context already carries a ``run_id`` (e.g. a parent
+    flow already created a streaming state), the existing value is reused
+    so that nested streaming (flow → crew) shares the same scope.
+
    Args:
        current_task_info: Task context info.
        result_holder: List to hold the final result.
@@ -195,6 +225,9 @@ def create_streaming_state(
    Returns:
        Initialized StreamingState with registered handler.
    """
+    run_id = _current_stream_run_id.get() or str(uuid.uuid4())
+    _current_stream_run_id.set(run_id)
+
    sync_queue: queue.Queue[StreamChunk | None | Exception] = queue.Queue()
    async_queue: asyncio.Queue[StreamChunk | None | Exception] | None = None
    loop: asyncio.AbstractEventLoop | None = None
@@ -203,7 +236,9 @@ def create_streaming_state(
        async_queue = asyncio.Queue()
        loop = asyncio.get_event_loop()

-    handler = _create_stream_handler(current_task_info, sync_queue, async_queue, loop)
+    handler = _create_stream_handler(
+        current_task_info, sync_queue, async_queue, loop, run_id=run_id
+    )
    crewai_event_bus.register_handler(LLMStreamChunkEvent, handler)

    return StreamingState(
--- a/lib/crewai/src/crewai/utilities/tool_utils.py
+++ b/lib/crewai/src/crewai/utilities/tool_utils.py
@@ -13,7 +13,7 @@ from crewai.security.fingerprint import Fingerprint
 from crewai.tools.structured_tool import CrewStructuredTool
 from crewai.tools.tool_types import ToolResult
 from crewai.tools.tool_usage import ToolUsage, ToolUsageError
-from crewai.utilities.i18n import I18N
+from crewai.utilities.i18n import I18N_DEFAULT
 from crewai.utilities.logger import Logger
 from crewai.utilities.string_utils import sanitize_tool_name

@@ -30,7 +30,6 @@ if TYPE_CHECKING:
 async def aexecute_tool_and_check_finality(
    agent_action: AgentAction,
    tools: list[CrewStructuredTool],
-    i18n: I18N,
    agent_key: str | None = None,
    agent_role: str | None = None,
    tools_handler: ToolsHandler | None = None,
@@ -49,7 +48,6 @@ async def aexecute_tool_and_check_finality(
    Args:
        agent_action: The action containing the tool to execute.
        tools: List of available tools.
-        i18n: Internationalization settings.
        agent_key: Optional key for event emission.
        agent_role: Optional role for event emission.
        tools_handler: Optional tools handler for tool execution.
@@ -142,7 +140,7 @@ async def aexecute_tool_and_check_finality(

        return ToolResult(modified_result, tool.result_as_answer)

-    tool_result = i18n.errors("wrong_tool_name").format(
+    tool_result = I18N_DEFAULT.errors("wrong_tool_name").format(
        tool=sanitized_tool_name,
        tools=", ".join(tool_name_to_tool_map.keys()),
    )
@@ -152,7 +150,6 @@ async def aexecute_tool_and_check_finality(
 def execute_tool_and_check_finality(
    agent_action: AgentAction,
    tools: list[CrewStructuredTool],
-    i18n: I18N,
    agent_key: str | None = None,
    agent_role: str | None = None,
    tools_handler: ToolsHandler | None = None,
@@ -170,7 +167,6 @@ def execute_tool_and_check_finality(
    Args:
        agent_action: The action containing the tool to execute
        tools: List of available tools
-        i18n: Internationalization settings
        agent_key: Optional key for event emission
        agent_role: Optional role for event emission
        tools_handler: Optional tools handler for tool execution
@@ -263,7 +259,7 @@ def execute_tool_and_check_finality(

        return ToolResult(modified_result, tool.result_as_answer)

-    tool_result = i18n.errors("wrong_tool_name").format(
+    tool_result = I18N_DEFAULT.errors("wrong_tool_name").format(
        tool=sanitized_tool_name,
        tools=", ".join(tool_name_to_tool_map.keys()),
    )
--- a/lib/crewai/tests/agents/test_agent.py
+++ b/lib/crewai/tests/agents/test_agent.py
@@ -1208,12 +1208,10 @@ def test_llm_call_with_error():
 def test_handle_context_length_exceeds_limit():
    # Import necessary modules
    from crewai.utilities.agent_utils import handle_context_length
-    from crewai.utilities.i18n import I18N
    from crewai.utilities.printer import Printer

    # Create mocks for dependencies
    printer = Printer()
-    i18n = I18N()

    # Create an agent just for its LLM
    agent = Agent(
@@ -1249,7 +1247,6 @@ def test_handle_context_length_exceeds_limit():
                messages=messages,
                llm=llm,
                callbacks=callbacks,
-                i18n=i18n,
            )

        # Verify our patch was called and raised the correct error
@@ -1994,7 +1991,7 @@ def test_litellm_anthropic_error_handling():
@pytest.mark.vcr()
 def test_get_knowledge_search_query():
    """Test that _get_knowledge_search_query calls the LLM with the correct prompts."""
-    from crewai.utilities.i18n import I18N
+    from crewai.utilities.i18n import I18N_DEFAULT

    content = "The capital of France is Paris."
    string_source = StringKnowledgeSource(content=content)
@@ -2013,7 +2010,6 @@ def test_get_knowledge_search_query():
        agent=agent,
    )

-    i18n = I18N()
    task_prompt = task.prompt()

    with (
@@ -2050,13 +2046,13 @@ def test_get_knowledge_search_query():
            [
                {
                    "role": "system",
-                    "content": i18n.slice(
+                    "content": I18N_DEFAULT.slice(
                        "knowledge_search_query_system_prompt"
                    ).format(task_prompt=task.description),
                },
                {
                    "role": "user",
-                    "content": i18n.slice("knowledge_search_query").format(
+                    "content": I18N_DEFAULT.slice("knowledge_search_query").format(
                        task_prompt=task_prompt
                    ),
                },
--- a/lib/crewai/tests/agents/test_agent_executor.py
+++ b/lib/crewai/tests/agents/test_agent_executor.py
@@ -48,8 +48,6 @@ def _build_executor(**kwargs: Any) -> AgentExecutor:
    executor._last_context_error = None
    executor._step_executor = None
    executor._planner_observer = None
-    from crewai.utilities.i18n import get_i18n
-    executor._i18n = kwargs.get("i18n") or get_i18n()
    return executor
 from crewai.agents.planner_observer import PlannerObserver
 from crewai.experimental.agent_executor import (
--- a/lib/crewai/tests/test_streaming.py
+++ b/lib/crewai/tests/test_streaming.py
@@ -861,6 +861,265 @@ class TestStreamingCancellation:
        assert not streaming.is_cancelled


+class TestStreamingRunIsolation:
+    """Tests for concurrent streaming run isolation (issue #5376).
+
+    The singleton event bus fans out events to all registered handlers.
+    Without run_id scoping, concurrent streaming runs receive each other's
+    chunks.  These tests verify that the run_id filtering prevents
+    cross-run chunk contamination.
+    """
+
+    def test_handler_ignores_events_from_different_run(self) -> None:
+        """A handler with run_id must reject events carrying a different run_id."""
+        import queue as _queue
+
+        from crewai.utilities.streaming import _create_stream_handler, TaskInfo
+
+        task_info: TaskInfo = {
+            "index": 0,
+            "name": "task-a",
+            "id": "tid-a",
+            "agent_role": "Agent",
+            "agent_id": "aid-a",
+        }
+        q: _queue.Queue[StreamChunk | None | Exception] = _queue.Queue()
+        handler = _create_stream_handler(task_info, q, run_id="run-A")
+
+        # Event from a *different* run – must be silently dropped.
+        foreign_event = LLMStreamChunkEvent(
+            chunk="foreign-chunk",
+            call_id="cid",
+            run_id="run-B",
+        )
+        handler(None, foreign_event)
+        assert q.empty(), "Handler must not enqueue events from a different run_id"
+
+        # Event from the *same* run – must be enqueued.
+        own_event = LLMStreamChunkEvent(
+            chunk="own-chunk",
+            call_id="cid",
+            run_id="run-A",
+        )
+        handler(None, own_event)
+        assert not q.empty(), "Handler must enqueue events with matching run_id"
+        item = q.get_nowait()
+        assert item.content == "own-chunk"
+
+    def test_concurrent_streaming_states_do_not_cross_contaminate(self) -> None:
+        """Two streaming states created in separate contexts (simulating
+        concurrent runs) must each receive only their own events, even
+        though both handlers are registered on the same global event bus.
+        """
+        import contextvars
+
+        from crewai.utilities.streaming import (
+            create_streaming_state,
+            _current_stream_run_id,
+            TaskInfo,
+            _unregister_handler,
+        )
+
+        task_a: TaskInfo = {
+            "index": 0,
+            "name": "task-a",
+            "id": "tid-a",
+            "agent_role": "Agent-A",
+            "agent_id": "aid-a",
+        }
+        task_b: TaskInfo = {
+            "index": 1,
+            "name": "task-b",
+            "id": "tid-b",
+            "agent_role": "Agent-B",
+            "agent_id": "aid-b",
+        }
+
+        def _create_in_fresh_context(
+            task_info: TaskInfo,
+        ) -> "StreamingState":
+            """Reset the run_id contextvar and create streaming state."""
+            _current_stream_run_id.set(None)
+            return create_streaming_state(task_info, [])
+
+        # Create each streaming state in a *separate* context so they get
+        # distinct run_ids (simulates truly concurrent runs).
+        state_a = contextvars.copy_context().run(_create_in_fresh_context, task_a)
+        state_b = contextvars.copy_context().run(_create_in_fresh_context, task_b)
+
+        # Extract run_ids from handler closures.
+        def _get_run_id_from_handler(handler: Any) -> str | None:
+            """Extract the run_id captured in the handler closure."""
+            fn = handler
+            if hasattr(fn, "__wrapped__"):
+                fn = fn.__wrapped__
+            for cell in (fn.__closure__ or []):
+                try:
+                    val = cell.cell_contents
+                    if isinstance(val, str) and len(val) == 36 and val.count("-") == 4:
+                        return val
+                except ValueError:
+                    continue
+            return None
+
+        rid_a = _get_run_id_from_handler(state_a.handler)
+        rid_b = _get_run_id_from_handler(state_b.handler)
+        assert rid_a is not None and rid_b is not None
+        assert rid_a != rid_b, "Each streaming state must have a unique run_id"
+
+        # Emit events for run A.
+        for i in range(3):
+            crewai_event_bus.emit(
+                self,
+                LLMStreamChunkEvent(
+                    chunk=f"A-{i}",
+                    call_id="cid-a",
+                    run_id=rid_a,
+                ),
+            )
+
+        # Emit events for run B.
+        for i in range(3):
+            crewai_event_bus.emit(
+                self,
+                LLMStreamChunkEvent(
+                    chunk=f"B-{i}",
+                    call_id="cid-b",
+                    run_id=rid_b,
+                ),
+            )
+
+        # Drain queues.
+        chunks_a = []
+        while not state_a.sync_queue.empty():
+            chunks_a.append(state_a.sync_queue.get_nowait())
+
+        chunks_b = []
+        while not state_b.sync_queue.empty():
+            chunks_b.append(state_b.sync_queue.get_nowait())
+
+        # Verify isolation.
+        contents_a = [c.content for c in chunks_a]
+        contents_b = [c.content for c in chunks_b]
+
+        assert contents_a == ["A-0", "A-1", "A-2"], (
+            f"State A must only contain its own chunks, got {contents_a}"
+        )
+        assert contents_b == ["B-0", "B-1", "B-2"], (
+            f"State B must only contain its own chunks, got {contents_b}"
+        )
+
+        # No cross-contamination.
+        for c in contents_a:
+            assert not c.startswith("B-"), f"Run A received run B chunk: {c}"
+        for c in contents_b:
+            assert not c.startswith("A-"), f"Run B received run A chunk: {c}"
+
+        # Cleanup.
+        _unregister_handler(state_a.handler)
+        _unregister_handler(state_b.handler)
+
+    def test_concurrent_threads_isolated(self) -> None:
+        """Simulate two concurrent streaming runs in separate threads and
+        verify that each collects only its own chunks.
+        """
+        import contextvars
+        import threading
+        import time
+
+        from crewai.utilities.streaming import (
+            create_streaming_state,
+            get_current_stream_run_id,
+            TaskInfo,
+            _unregister_handler,
+        )
+
+        results: dict[str, list[str]] = {"A": [], "B": []}
+        errors: list[Exception] = []
+
+        def run_streaming(label: str, task_info: TaskInfo) -> None:
+            try:
+                state = create_streaming_state(task_info, [])
+                run_id = get_current_stream_run_id()
+                assert run_id is not None
+
+                # Simulate LLM emitting chunks stamped with this run's id.
+                for i in range(5):
+                    crewai_event_bus.emit(
+                        None,
+                        LLMStreamChunkEvent(
+                            chunk=f"{label}-{i}",
+                            call_id=f"cid-{label}",
+                            run_id=run_id,
+                        ),
+                    )
+                    time.sleep(0.005)
+
+                # Drain the queue.
+                while not state.sync_queue.empty():
+                    item = state.sync_queue.get_nowait()
+                    results[label].append(item.content)
+
+                _unregister_handler(state.handler)
+            except Exception as exc:
+                errors.append(exc)
+
+        task_a: TaskInfo = {
+            "index": 0,
+            "name": "task-a",
+            "id": "tid-a",
+            "agent_role": "Agent-A",
+            "agent_id": "aid-a",
+        }
+        task_b: TaskInfo = {
+            "index": 1,
+            "name": "task-b",
+            "id": "tid-b",
+            "agent_role": "Agent-B",
+            "agent_id": "aid-b",
+        }
+
+        t_a = threading.Thread(target=run_streaming, args=("A", task_a))
+        t_b = threading.Thread(target=run_streaming, args=("B", task_b))
+
+        t_a.start()
+        t_b.start()
+        t_a.join(timeout=10)
+        t_b.join(timeout=10)
+
+        assert not errors, f"Threads raised errors: {errors}"
+
+        # Each thread must see only its own chunks.
+        for c in results["A"]:
+            assert c.startswith("A-"), f"Run A received foreign chunk: {c}"
+        for c in results["B"]:
+            assert c.startswith("B-"), f"Run B received foreign chunk: {c}"
+
+        assert len(results["A"]) == 5, (
+            f"Run A expected 5 chunks, got {len(results['A'])}: {results['A']}"
+        )
+        assert len(results["B"]) == 5, (
+            f"Run B expected 5 chunks, got {len(results['B'])}: {results['B']}"
+        )
+
+    def test_run_id_stamped_on_llm_stream_chunk_event(self) -> None:
+        """Verify that LLMStreamChunkEvent accepts and stores run_id."""
+        event = LLMStreamChunkEvent(
+            chunk="test",
+            call_id="cid",
+            run_id="my-run-id",
+        )
+        assert event.run_id == "my-run-id"
+
+    def test_run_id_defaults_to_none(self) -> None:
+        """Verify that run_id defaults to None when not provided."""
+        event = LLMStreamChunkEvent(
+            chunk="test",
+            call_id="cid",
+        )
+        assert event.run_id is None
+
+
 class TestStreamingImports:
    """Tests for correct imports of streaming types."""

--- a/lib/crewai/tests/tools/test_tool_usage.py
+++ b/lib/crewai/tests/tools/test_tool_usage.py
@@ -308,7 +308,6 @@ def test_validate_tool_input_invalid_input():
    mock_agent.key = "test_agent_key"  # Must be a string
    mock_agent.role = "test_agent_role"  # Must be a string
    mock_agent._original_role = "test_agent_role"  # Must be a string
-    mock_agent.i18n = MagicMock()
    mock_agent.verbose = False

    # Create mock action with proper string value
@@ -443,7 +442,6 @@ def test_tool_selection_error_event_direct():
    mock_agent = MagicMock()
    mock_agent.key = "test_key"
    mock_agent.role = "test_role"
-    mock_agent.i18n = MagicMock()
    mock_agent.verbose = False

    mock_task = MagicMock()
@@ -518,13 +516,6 @@ def test_tool_validate_input_error_event():
    mock_agent.verbose = False
    mock_agent._original_role = "test_role"

-    # Mock i18n with error message
-    mock_i18n = MagicMock()
-    mock_i18n.errors.return_value = (
-        "Tool input must be a valid dictionary in JSON or Python literal format"
-    )
-    mock_agent.i18n = mock_i18n
-
    # Mock task and tools handler
    mock_task = MagicMock()
    mock_tools_handler = MagicMock()
@@ -590,7 +581,6 @@ def test_tool_usage_finished_event_with_result():
    mock_agent.key = "test_agent_key"
    mock_agent.role = "test_agent_role"
    mock_agent._original_role = "test_agent_role"
-    mock_agent.i18n = MagicMock()
    mock_agent.verbose = False

    # Create mock task
@@ -670,7 +660,6 @@ def test_tool_usage_finished_event_with_cached_result():
    mock_agent.key = "test_agent_key"
    mock_agent.role = "test_agent_role"
    mock_agent._original_role = "test_agent_role"
-    mock_agent.i18n = MagicMock()
    mock_agent.verbose = False

    # Create mock task
@@ -761,9 +750,6 @@ def test_tool_error_does_not_emit_finished_event():
    mock_agent._original_role = "test_agent_role"
    mock_agent.verbose = False
    mock_agent.fingerprint = None
-    mock_agent.i18n.tools.return_value = {"name": "Add Image"}
-    mock_agent.i18n.errors.return_value = "Error: {error}"
-    mock_agent.i18n.slice.return_value = "Available tools: {tool_names}"

    mock_task = MagicMock()
    mock_task.delegations = 0
--- a/lib/crewai/tests/utilities/test_agent_utils.py
+++ b/lib/crewai/tests/utilities/test_agent_utils.py
@@ -225,16 +225,6 @@ class TestConvertToolsToOpenaiSchema:
        assert max_results_prop["default"] == 10


-def _make_mock_i18n() -> MagicMock:
-    """Create a mock i18n with the new structured prompt keys."""
-    mock_i18n = MagicMock()
-    mock_i18n.slice.side_effect = lambda key: {
-        "summarizer_system_message": "You are a precise assistant that creates structured summaries.",
-        "summarize_instruction": "Summarize the conversation:\n{conversation}",
-        "summary": "<summary>\n{merged_summary}\n</summary>\nContinue the task.",
-    }.get(key, "")
-    return mock_i18n
-
 class MCPStyleInput(BaseModel):
    """Input schema mimicking an MCP tool with optional fields."""

@@ -330,7 +320,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        # System message preserved + summary message = 2
@@ -361,7 +351,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        assert len(messages) == 1
@@ -387,7 +377,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        assert len(messages) == 1
@@ -410,7 +400,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        assert id(messages) == original_list_id
@@ -432,7 +422,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        assert len(messages) == 2
@@ -456,7 +446,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        # Check what was passed to llm.call
@@ -482,7 +472,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        assert "The extracted summary content." in messages[0]["content"]
@@ -506,7 +496,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        # Verify the conversation text sent to LLM contains tool labels
@@ -528,7 +518,7 @@ class TestSummarizeMessages:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        # No LLM call should have been made
@@ -733,7 +723,7 @@ class TestParallelSummarization:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        # acall should have been awaited once per chunk
@@ -757,7 +747,7 @@ class TestParallelSummarization:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        mock_llm.call.assert_called_once()
@@ -788,7 +778,7 @@ class TestParallelSummarization:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        # The final summary message should have A, B, C in order
@@ -816,7 +806,7 @@ class TestParallelSummarization:
                chunks=[chunk_a, chunk_b],
                llm=mock_llm,
                callbacks=[],
-                i18n=_make_mock_i18n(),
+    
            )
        )

@@ -843,7 +833,7 @@ class TestParallelSummarization:
            messages=messages,
            llm=mock_llm,
            callbacks=[],
-            i18n=_make_mock_i18n(),
+
        )

        assert mock_llm.acall.await_count == 2
@@ -940,10 +930,8 @@ class TestParallelSummarizationVCR:
    def test_parallel_summarize_openai(self) -> None:
        """Test that parallel summarization with gpt-4o-mini produces a valid summary."""
        from crewai.llm import LLM
-        from crewai.utilities.i18n import I18N

        llm = LLM(model="gpt-4o-mini", temperature=0)
-        i18n = I18N()
        messages = _build_long_conversation()

        original_system = messages[0]["content"]
@@ -959,7 +947,6 @@ class TestParallelSummarizationVCR:
                messages=messages,
                llm=llm,
                callbacks=[],
-                i18n=i18n,
            )

        # System message preserved
@@ -975,10 +962,8 @@ class TestParallelSummarizationVCR:
    def test_parallel_summarize_preserves_files(self) -> None:
        """Test that file references survive parallel summarization."""
        from crewai.llm import LLM
-        from crewai.utilities.i18n import I18N

        llm = LLM(model="gpt-4o-mini", temperature=0)
-        i18n = I18N()
        messages = _build_long_conversation()

        mock_file = MagicMock()
@@ -989,7 +974,6 @@ class TestParallelSummarizationVCR:
                messages=messages,
                llm=llm,
                callbacks=[],
-                i18n=i18n,
            )

        summary_msg = messages[-1]
--- a/lib/crewai/tests/utilities/test_structured_planning.py
+++ b/lib/crewai/tests/utilities/test_structured_planning.py
@@ -147,8 +147,6 @@ class TestAgentReasoningWithMockedLLM:
        agent.backstory = "Test backstory"
        agent.verbose = False
        agent.planning_config = PlanningConfig()
-        agent.i18n = MagicMock()
-        agent.i18n.retrieve.return_value = "Test prompt: {description}"
        # Mock the llm attribute
        agent.llm = MagicMock()
        agent.llm.supports_function_calling.return_value = True
--- a/lib/crewai/tests/utilities/test_summarize_integration.py
+++ b/lib/crewai/tests/utilities/test_summarize_integration.py
@@ -14,7 +14,6 @@ from crewai.crew import Crew
 from crewai.llm import LLM
 from crewai.task import Task
 from crewai.utilities.agent_utils import summarize_messages
-from crewai.utilities.i18n import I18N


 def _build_conversation_messages(
@@ -90,7 +89,7 @@ class TestSummarizeDirectOpenAI:
    def test_summarize_direct_openai(self) -> None:
        """Test summarize_messages with gpt-4o-mini preserves system messages."""
        llm = LLM(model="gpt-4o-mini", temperature=0)
-        i18n = I18N()
+
        messages = _build_conversation_messages(include_system=True)

        original_system_content = messages[0]["content"]
@@ -99,7 +98,7 @@ class TestSummarizeDirectOpenAI:
            messages=messages,
            llm=llm,
            callbacks=[],
-            i18n=i18n,
+
        )

        # System message should be preserved
@@ -122,14 +121,14 @@ class TestSummarizeDirectAnthropic:
    def test_summarize_direct_anthropic(self) -> None:
        """Test summarize_messages with claude-3-5-haiku."""
        llm = LLM(model="anthropic/claude-3-5-haiku-latest", temperature=0)
-        i18n = I18N()
+
        messages = _build_conversation_messages(include_system=True)

        summarize_messages(
            messages=messages,
            llm=llm,
            callbacks=[],
-            i18n=i18n,
+
        )

        assert len(messages) >= 2
@@ -148,14 +147,14 @@ class TestSummarizeDirectGemini:
    def test_summarize_direct_gemini(self) -> None:
        """Test summarize_messages with gemini-2.0-flash."""
        llm = LLM(model="gemini/gemini-2.0-flash", temperature=0)
-        i18n = I18N()
+
        messages = _build_conversation_messages(include_system=True)

        summarize_messages(
            messages=messages,
            llm=llm,
            callbacks=[],
-            i18n=i18n,
+
        )

        assert len(messages) >= 2
@@ -174,14 +173,14 @@ class TestSummarizeDirectAzure:
    def test_summarize_direct_azure(self) -> None:
        """Test summarize_messages with azure/gpt-4o-mini."""
        llm = LLM(model="azure/gpt-4o-mini", temperature=0)
-        i18n = I18N()
+
        messages = _build_conversation_messages(include_system=True)

        summarize_messages(
            messages=messages,
            llm=llm,
            callbacks=[],
-            i18n=i18n,
+
        )

        assert len(messages) >= 2
@@ -261,7 +260,7 @@ class TestSummarizePreservesFiles:
    def test_summarize_preserves_files_integration(self) -> None:
        """Test that file references survive a real summarization call."""
        llm = LLM(model="gpt-4o-mini", temperature=0)
-        i18n = I18N()
+
        messages = _build_conversation_messages(
            include_system=True, include_files=True
        )
@@ -270,7 +269,7 @@ class TestSummarizePreservesFiles:
            messages=messages,
            llm=llm,
            callbacks=[],
-            i18n=i18n,
+
        )

        # System message preserved
--- a/lib/devtools/src/crewai_devtools/init.py
+++ b/lib/devtools/src/crewai_devtools/init.py
@@ -1,3 +1,3 @@
 """CrewAI development tools."""

-__version__ = "1.14.1rc1"
+__version__ = "1.14.2a1"
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -161,13 +161,14 @@ info = "Commits must follow Conventional Commits 1.0.0."


 [tool.uv]
-exclude-newer = "3 days"
+exclude-newer = "2026-04-10"  # pinned for CVE-2026-39892; restore to "3 days" after 2026-04-11

 # composio-core pins rich<14 but textual requires rich>=14.
 # onnxruntime 1.24+ dropped Python 3.10 wheels; cap it so qdrant[fastembed] resolves on 3.10.
 # fastembed 0.7.x and docling 2.63 cap pillow<12; the removed APIs don't affect them.
 # langchain-core <1.2.11 has SSRF via image_url token counting (CVE-2026-26013).
 # transformers 4.57.6 has CVE-2026-1839; force 5.4+ (docling 2.84 allows huggingface-hub>=1).
+# cryptography 46.0.6 has CVE-2026-39892; force 46.0.7+.
 override-dependencies = [
    "rich>=13.7.1",
    "onnxruntime<1.24; python_version < '3.11'",
@@ -175,6 +176,7 @@ override-dependencies = [
    "langchain-core>=1.2.11,<2",
    "urllib3>=2.6.3",
    "transformers>=5.4.0; python_version >= '3.10'",
+    "cryptography>=46.0.7",
 ]

 [tool.uv.workspace]
--- a/uv.lock
+++ b/uv.lock
@@ -13,8 +13,7 @@ resolution-markers = [
 ]

 [options]
-exclude-newer = "2026-04-05T11:09:48.9111Z"
-exclude-newer-span = "P3D"
+exclude-newer = "2026-04-10T16:00:00Z"

 [manifest]
 members = [
@@ -24,6 +23,7 @@ members = [
    "crewai-tools",
 ]
 overrides = [
+    { name = "cryptography", specifier = ">=46.0.7" },
    { name = "langchain-core", specifier = ">=1.2.11,<2" },
    { name = "onnxruntime", marker = "python_full_version < '3.11'", specifier = "<1.24" },
    { name = "pillow", specifier = ">=12.1.1" },
@@ -1583,48 +1583,48 @@ provides-extras = ["apify", "beautifulsoup4", "bedrock", "browserbase", "composi

 [[package]]
 name = "cryptography"
-version = "46.0.6"
+version = "46.0.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a4/ba/04b1bd4218cbc58dc90ce967106d51582371b898690f3ae0402876cc4f34/cryptography-46.0.6.tar.gz", hash = "sha256:27550628a518c5c6c903d84f637fbecf287f6cb9ced3804838a1295dc1fd0759", size = 750542, upload-time = "2026-03-25T23:34:53.396Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/93/ac8f3d5ff04d54bc814e961a43ae5b0b146154c89c61b47bb07557679b18/cryptography-46.0.7.tar.gz", hash = "sha256:e4cfd68c5f3e0bfdad0d38e023239b96a2fe84146481852dffbcca442c245aa5", size = 750652, upload-time = "2026-04-08T01:57:54.692Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/47/23/9285e15e3bc57325b0a72e592921983a701efc1ee8f91c06c5f0235d86d9/cryptography-46.0.6-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:64235194bad039a10bb6d2d930ab3323baaec67e2ce36215fd0952fad0930ca8", size = 7176401, upload-time = "2026-03-25T23:33:22.096Z" },
-    { url = "https://files.pythonhosted.org/packages/60/f8/e61f8f13950ab6195b31913b42d39f0f9afc7d93f76710f299b5ec286ae6/cryptography-46.0.6-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:26031f1e5ca62fcb9d1fcb34b2b60b390d1aacaa15dc8b895a9ed00968b97b30", size = 4275275, upload-time = "2026-03-25T23:33:23.844Z" },
-    { url = "https://files.pythonhosted.org/packages/19/69/732a736d12c2631e140be2348b4ad3d226302df63ef64d30dfdb8db7ad1c/cryptography-46.0.6-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9a693028b9cbe51b5a1136232ee8f2bc242e4e19d456ded3fa7c86e43c713b4a", size = 4425320, upload-time = "2026-03-25T23:33:25.703Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/12/123be7292674abf76b21ac1fc0e1af50661f0e5b8f0ec8285faac18eb99e/cryptography-46.0.6-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:67177e8a9f421aa2d3a170c3e56eca4e0128883cf52a071a7cbf53297f18b175", size = 4278082, upload-time = "2026-03-25T23:33:27.423Z" },
-    { url = "https://files.pythonhosted.org/packages/5b/ba/d5e27f8d68c24951b0a484924a84c7cdaed7502bac9f18601cd357f8b1d2/cryptography-46.0.6-cp311-abi3-manylinux_2_28_ppc64le.whl", hash = "sha256:d9528b535a6c4f8ff37847144b8986a9a143585f0540fbcb1a98115b543aa463", size = 4926514, upload-time = "2026-03-25T23:33:29.206Z" },
-    { url = "https://files.pythonhosted.org/packages/34/71/1ea5a7352ae516d5512d17babe7e1b87d9db5150b21f794b1377eac1edc0/cryptography-46.0.6-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:22259338084d6ae497a19bae5d4c66b7ca1387d3264d1c2c0e72d9e9b6a77b97", size = 4457766, upload-time = "2026-03-25T23:33:30.834Z" },
-    { url = "https://files.pythonhosted.org/packages/01/59/562be1e653accee4fdad92c7a2e88fced26b3fdfce144047519bbebc299e/cryptography-46.0.6-cp311-abi3-manylinux_2_31_armv7l.whl", hash = "sha256:760997a4b950ff00d418398ad73fbc91aa2894b5c1db7ccb45b4f68b42a63b3c", size = 3986535, upload-time = "2026-03-25T23:33:33.02Z" },
-    { url = "https://files.pythonhosted.org/packages/d6/8b/b1ebfeb788bf4624d36e45ed2662b8bd43a05ff62157093c1539c1288a18/cryptography-46.0.6-cp311-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:3dfa6567f2e9e4c5dceb8ccb5a708158a2a871052fa75c8b78cb0977063f1507", size = 4277618, upload-time = "2026-03-25T23:33:34.567Z" },
-    { url = "https://files.pythonhosted.org/packages/dd/52/a005f8eabdb28df57c20f84c44d397a755782d6ff6d455f05baa2785bd91/cryptography-46.0.6-cp311-abi3-manylinux_2_34_ppc64le.whl", hash = "sha256:cdcd3edcbc5d55757e5f5f3d330dd00007ae463a7e7aa5bf132d1f22a4b62b19", size = 4890802, upload-time = "2026-03-25T23:33:37.034Z" },
-    { url = "https://files.pythonhosted.org/packages/ec/4d/8e7d7245c79c617d08724e2efa397737715ca0ec830ecb3c91e547302555/cryptography-46.0.6-cp311-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:d4e4aadb7fc1f88687f47ca20bb7227981b03afaae69287029da08096853b738", size = 4457425, upload-time = "2026-03-25T23:33:38.904Z" },
-    { url = "https://files.pythonhosted.org/packages/1d/5c/f6c3596a1430cec6f949085f0e1a970638d76f81c3ea56d93d564d04c340/cryptography-46.0.6-cp311-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2b417edbe8877cda9022dde3a008e2deb50be9c407eef034aeeb3a8b11d9db3c", size = 4405530, upload-time = "2026-03-25T23:33:40.842Z" },
-    { url = "https://files.pythonhosted.org/packages/7e/c9/9f9cea13ee2dbde070424e0c4f621c091a91ffcc504ffea5e74f0e1daeff/cryptography-46.0.6-cp311-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:380343e0653b1c9d7e1f55b52aaa2dbb2fdf2730088d48c43ca1c7c0abb7cc2f", size = 4667896, upload-time = "2026-03-25T23:33:42.781Z" },
-    { url = "https://files.pythonhosted.org/packages/ad/b5/1895bc0821226f129bc74d00eccfc6a5969e2028f8617c09790bf89c185e/cryptography-46.0.6-cp311-abi3-win32.whl", hash = "sha256:bcb87663e1f7b075e48c3be3ecb5f0b46c8fc50b50a97cf264e7f60242dca3f2", size = 3026348, upload-time = "2026-03-25T23:33:45.021Z" },
-    { url = "https://files.pythonhosted.org/packages/c3/f8/c9bcbf0d3e6ad288b9d9aa0b1dee04b063d19e8c4f871855a03ab3a297ab/cryptography-46.0.6-cp311-abi3-win_amd64.whl", hash = "sha256:6739d56300662c468fddb0e5e291f9b4d084bead381667b9e654c7dd81705124", size = 3483896, upload-time = "2026-03-25T23:33:46.649Z" },
-    { url = "https://files.pythonhosted.org/packages/c4/cc/f330e982852403da79008552de9906804568ae9230da8432f7496ce02b71/cryptography-46.0.6-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:12cae594e9473bca1a7aceb90536060643128bb274fcea0fc459ab90f7d1ae7a", size = 7162776, upload-time = "2026-03-25T23:34:13.308Z" },
-    { url = "https://files.pythonhosted.org/packages/49/b3/dc27efd8dcc4bff583b3f01d4a3943cd8b5821777a58b3a6a5f054d61b79/cryptography-46.0.6-cp38-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:639301950939d844a9e1c4464d7e07f902fe9a7f6b215bb0d4f28584729935d8", size = 4270529, upload-time = "2026-03-25T23:34:15.019Z" },
-    { url = "https://files.pythonhosted.org/packages/e6/05/e8d0e6eb4f0d83365b3cb0e00eb3c484f7348db0266652ccd84632a3d58d/cryptography-46.0.6-cp38-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ed3775295fb91f70b4027aeba878d79b3e55c0b3e97eaa4de71f8f23a9f2eb77", size = 4414827, upload-time = "2026-03-25T23:34:16.604Z" },
-    { url = "https://files.pythonhosted.org/packages/2f/97/daba0f5d2dc6d855e2dcb70733c812558a7977a55dd4a6722756628c44d1/cryptography-46.0.6-cp38-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:8927ccfbe967c7df312ade694f987e7e9e22b2425976ddbf28271d7e58845290", size = 4271265, upload-time = "2026-03-25T23:34:18.586Z" },
-    { url = "https://files.pythonhosted.org/packages/89/06/fe1fce39a37ac452e58d04b43b0855261dac320a2ebf8f5260dd55b201a9/cryptography-46.0.6-cp38-abi3-manylinux_2_28_ppc64le.whl", hash = "sha256:b12c6b1e1651e42ab5de8b1e00dc3b6354fdfd778e7fa60541ddacc27cd21410", size = 4916800, upload-time = "2026-03-25T23:34:20.561Z" },
-    { url = "https://files.pythonhosted.org/packages/ff/8a/b14f3101fe9c3592603339eb5d94046c3ce5f7fc76d6512a2d40efd9724e/cryptography-46.0.6-cp38-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:063b67749f338ca9c5a0b7fe438a52c25f9526b851e24e6c9310e7195aad3b4d", size = 4448771, upload-time = "2026-03-25T23:34:22.406Z" },
-    { url = "https://files.pythonhosted.org/packages/01/b3/0796998056a66d1973fd52ee89dc1bb3b6581960a91ad4ac705f182d398f/cryptography-46.0.6-cp38-abi3-manylinux_2_31_armv7l.whl", hash = "sha256:02fad249cb0e090b574e30b276a3da6a149e04ee2f049725b1f69e7b8351ec70", size = 3978333, upload-time = "2026-03-25T23:34:24.281Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/3d/db200af5a4ffd08918cd55c08399dc6c9c50b0bc72c00a3246e099d3a849/cryptography-46.0.6-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:7e6142674f2a9291463e5e150090b95a8519b2fb6e6aaec8917dd8d094ce750d", size = 4271069, upload-time = "2026-03-25T23:34:25.895Z" },
-    { url = "https://files.pythonhosted.org/packages/d7/18/61acfd5b414309d74ee838be321c636fe71815436f53c9f0334bf19064fa/cryptography-46.0.6-cp38-abi3-manylinux_2_34_ppc64le.whl", hash = "sha256:456b3215172aeefb9284550b162801d62f5f264a081049a3e94307fe20792cfa", size = 4878358, upload-time = "2026-03-25T23:34:27.67Z" },
-    { url = "https://files.pythonhosted.org/packages/8b/65/5bf43286d566f8171917cae23ac6add941654ccf085d739195a4eacf1674/cryptography-46.0.6-cp38-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:341359d6c9e68834e204ceaf25936dffeafea3829ab80e9503860dcc4f4dac58", size = 4448061, upload-time = "2026-03-25T23:34:29.375Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/25/7e49c0fa7205cf3597e525d156a6bce5b5c9de1fd7e8cb01120e459f205a/cryptography-46.0.6-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9a9c42a2723999a710445bc0d974e345c32adfd8d2fac6d8a251fa829ad31cfb", size = 4399103, upload-time = "2026-03-25T23:34:32.036Z" },
-    { url = "https://files.pythonhosted.org/packages/44/46/466269e833f1c4718d6cd496ffe20c56c9c8d013486ff66b4f69c302a68d/cryptography-46.0.6-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6617f67b1606dfd9fe4dbfa354a9508d4a6d37afe30306fe6c101b7ce3274b72", size = 4659255, upload-time = "2026-03-25T23:34:33.679Z" },
-    { url = "https://files.pythonhosted.org/packages/0a/09/ddc5f630cc32287d2c953fc5d32705e63ec73e37308e5120955316f53827/cryptography-46.0.6-cp38-abi3-win32.whl", hash = "sha256:7f6690b6c55e9c5332c0b59b9c8a3fb232ebf059094c17f9019a51e9827df91c", size = 3010660, upload-time = "2026-03-25T23:34:35.418Z" },
-    { url = "https://files.pythonhosted.org/packages/1b/82/ca4893968aeb2709aacfb57a30dec6fa2ab25b10fa9f064b8882ce33f599/cryptography-46.0.6-cp38-abi3-win_amd64.whl", hash = "sha256:79e865c642cfc5c0b3eb12af83c35c5aeff4fa5c672dc28c43721c2c9fdd2f0f", size = 3471160, upload-time = "2026-03-25T23:34:37.191Z" },
-    { url = "https://files.pythonhosted.org/packages/2e/84/7ccff00ced5bac74b775ce0beb7d1be4e8637536b522b5df9b73ada42da2/cryptography-46.0.6-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:2ea0f37e9a9cf0df2952893ad145fd9627d326a59daec9b0802480fa3bcd2ead", size = 3475444, upload-time = "2026-03-25T23:34:38.944Z" },
-    { url = "https://files.pythonhosted.org/packages/bc/1f/4c926f50df7749f000f20eede0c896769509895e2648db5da0ed55db711d/cryptography-46.0.6-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:a3e84d5ec9ba01f8fd03802b2147ba77f0c8f2617b2aff254cedd551844209c8", size = 4218227, upload-time = "2026-03-25T23:34:40.871Z" },
-    { url = "https://files.pythonhosted.org/packages/c6/65/707be3ffbd5f786028665c3223e86e11c4cda86023adbc56bd72b1b6bab5/cryptography-46.0.6-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:12f0fa16cc247b13c43d56d7b35287ff1569b5b1f4c5e87e92cc4fcc00cd10c0", size = 4381399, upload-time = "2026-03-25T23:34:42.609Z" },
-    { url = "https://files.pythonhosted.org/packages/f3/6d/73557ed0ef7d73d04d9aba745d2c8e95218213687ee5e76b7d236a5030fc/cryptography-46.0.6-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:50575a76e2951fe7dbd1f56d181f8c5ceeeb075e9ff88e7ad997d2f42af06e7b", size = 4217595, upload-time = "2026-03-25T23:34:44.205Z" },
-    { url = "https://files.pythonhosted.org/packages/9e/c5/e1594c4eec66a567c3ac4400008108a415808be2ce13dcb9a9045c92f1a0/cryptography-46.0.6-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:90e5f0a7b3be5f40c3a0a0eafb32c681d8d2c181fc2a1bdabe9b3f611d9f6b1a", size = 4380912, upload-time = "2026-03-25T23:34:46.328Z" },
-    { url = "https://files.pythonhosted.org/packages/1a/89/843b53614b47f97fe1abc13f9a86efa5ec9e275292c457af1d4a60dc80e0/cryptography-46.0.6-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:6728c49e3b2c180ef26f8e9f0a883a2c585638db64cf265b49c9ba10652d430e", size = 3409955, upload-time = "2026-03-25T23:34:48.465Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/5d/4a8f770695d73be252331e60e526291e3df0c9b27556a90a6b47bccca4c2/cryptography-46.0.7-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:ea42cbe97209df307fdc3b155f1b6fa2577c0defa8f1f7d3be7d31d189108ad4", size = 7179869, upload-time = "2026-04-08T01:56:17.157Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/45/6d80dc379b0bbc1f9d1e429f42e4cb9e1d319c7a8201beffd967c516ea01/cryptography-46.0.7-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b36a4695e29fe69215d75960b22577197aca3f7a25b9cf9d165dcfe9d80bc325", size = 4275492, upload-time = "2026-04-08T01:56:19.36Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/9a/1765afe9f572e239c3469f2cb429f3ba7b31878c893b246b4b2994ffe2fe/cryptography-46.0.7-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ad9ef796328c5e3c4ceed237a183f5d41d21150f972455a9d926593a1dcb308", size = 4426670, upload-time = "2026-04-08T01:56:21.415Z" },
+    { url = "https://files.pythonhosted.org/packages/8f/3e/af9246aaf23cd4ee060699adab1e47ced3f5f7e7a8ffdd339f817b446462/cryptography-46.0.7-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:73510b83623e080a2c35c62c15298096e2a5dc8d51c3b4e1740211839d0dea77", size = 4280275, upload-time = "2026-04-08T01:56:23.539Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/54/6bbbfc5efe86f9d71041827b793c24811a017c6ac0fd12883e4caa86b8ed/cryptography-46.0.7-cp311-abi3-manylinux_2_28_ppc64le.whl", hash = "sha256:cbd5fb06b62bd0721e1170273d3f4d5a277044c47ca27ee257025146c34cbdd1", size = 4928402, upload-time = "2026-04-08T01:56:25.624Z" },
+    { url = "https://files.pythonhosted.org/packages/2d/cf/054b9d8220f81509939599c8bdbc0c408dbd2bdd41688616a20731371fe0/cryptography-46.0.7-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:420b1e4109cc95f0e5700eed79908cef9268265c773d3a66f7af1eef53d409ef", size = 4459985, upload-time = "2026-04-08T01:56:27.309Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/46/4e4e9c6040fb01c7467d47217d2f882daddeb8828f7df800cb806d8a2288/cryptography-46.0.7-cp311-abi3-manylinux_2_31_armv7l.whl", hash = "sha256:24402210aa54baae71d99441d15bb5a1919c195398a87b563df84468160a65de", size = 3990652, upload-time = "2026-04-08T01:56:29.095Z" },
+    { url = "https://files.pythonhosted.org/packages/36/5f/313586c3be5a2fbe87e4c9a254207b860155a8e1f3cca99f9910008e7d08/cryptography-46.0.7-cp311-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:8a469028a86f12eb7d2fe97162d0634026d92a21f3ae0ac87ed1c4a447886c83", size = 4279805, upload-time = "2026-04-08T01:56:30.928Z" },
+    { url = "https://files.pythonhosted.org/packages/69/33/60dfc4595f334a2082749673386a4d05e4f0cf4df8248e63b2c3437585f2/cryptography-46.0.7-cp311-abi3-manylinux_2_34_ppc64le.whl", hash = "sha256:9694078c5d44c157ef3162e3bf3946510b857df5a3955458381d1c7cfc143ddb", size = 4892883, upload-time = "2026-04-08T01:56:32.614Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/0b/333ddab4270c4f5b972f980adef4faa66951a4aaf646ca067af597f15563/cryptography-46.0.7-cp311-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:42a1e5f98abb6391717978baf9f90dc28a743b7d9be7f0751a6f56a75d14065b", size = 4459756, upload-time = "2026-04-08T01:56:34.306Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/14/633913398b43b75f1234834170947957c6b623d1701ffc7a9600da907e89/cryptography-46.0.7-cp311-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:91bbcb08347344f810cbe49065914fe048949648f6bd5c2519f34619142bbe85", size = 4410244, upload-time = "2026-04-08T01:56:35.977Z" },
+    { url = "https://files.pythonhosted.org/packages/10/f2/19ceb3b3dc14009373432af0c13f46aa08e3ce334ec6eff13492e1812ccd/cryptography-46.0.7-cp311-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5d1c02a14ceb9148cc7816249f64f623fbfee39e8c03b3650d842ad3f34d637e", size = 4674868, upload-time = "2026-04-08T01:56:38.034Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/bb/a5c213c19ee94b15dfccc48f363738633a493812687f5567addbcbba9f6f/cryptography-46.0.7-cp311-abi3-win32.whl", hash = "sha256:d23c8ca48e44ee015cd0a54aeccdf9f09004eba9fc96f38c911011d9ff1bd457", size = 3026504, upload-time = "2026-04-08T01:56:39.666Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/02/7788f9fefa1d060ca68717c3901ae7fffa21ee087a90b7f23c7a603c32ae/cryptography-46.0.7-cp311-abi3-win_amd64.whl", hash = "sha256:397655da831414d165029da9bc483bed2fe0e75dde6a1523ec2fe63f3c46046b", size = 3488363, upload-time = "2026-04-08T01:56:41.893Z" },
+    { url = "https://files.pythonhosted.org/packages/a7/7f/cd42fc3614386bc0c12f0cb3c4ae1fc2bbca5c9662dfed031514911d513d/cryptography-46.0.7-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:462ad5cb1c148a22b2e3bcc5ad52504dff325d17daf5df8d88c17dda1f75f2a4", size = 7165618, upload-time = "2026-04-08T01:57:10.645Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/d0/36a49f0262d2319139d2829f773f1b97ef8aef7f97e6e5bd21455e5a8fb5/cryptography-46.0.7-cp38-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:84d4cced91f0f159a7ddacad249cc077e63195c36aac40b4150e7a57e84fffe7", size = 4270628, upload-time = "2026-04-08T01:57:12.885Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/6c/1a42450f464dda6ffbe578a911f773e54dd48c10f9895a23a7e88b3e7db5/cryptography-46.0.7-cp38-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:128c5edfe5e5938b86b03941e94fac9ee793a94452ad1365c9fc3f4f62216832", size = 4415405, upload-time = "2026-04-08T01:57:14.923Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/92/4ed714dbe93a066dc1f4b4581a464d2d7dbec9046f7c8b7016f5286329e2/cryptography-46.0.7-cp38-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:5e51be372b26ef4ba3de3c167cd3d1022934bc838ae9eaad7e644986d2a3d163", size = 4272715, upload-time = "2026-04-08T01:57:16.638Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/e6/a26b84096eddd51494bba19111f8fffe976f6a09f132706f8f1bf03f51f7/cryptography-46.0.7-cp38-abi3-manylinux_2_28_ppc64le.whl", hash = "sha256:cdf1a610ef82abb396451862739e3fc93b071c844399e15b90726ef7470eeaf2", size = 4918400, upload-time = "2026-04-08T01:57:19.021Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/08/ffd537b605568a148543ac3c2b239708ae0bd635064bab41359252ef88ed/cryptography-46.0.7-cp38-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:1d25aee46d0c6f1a501adcddb2d2fee4b979381346a78558ed13e50aa8a59067", size = 4450634, upload-time = "2026-04-08T01:57:21.185Z" },
+    { url = "https://files.pythonhosted.org/packages/16/01/0cd51dd86ab5b9befe0d031e276510491976c3a80e9f6e31810cce46c4ad/cryptography-46.0.7-cp38-abi3-manylinux_2_31_armv7l.whl", hash = "sha256:cdfbe22376065ffcf8be74dc9a909f032df19bc58a699456a21712d6e5eabfd0", size = 3985233, upload-time = "2026-04-08T01:57:22.862Z" },
+    { url = "https://files.pythonhosted.org/packages/92/49/819d6ed3a7d9349c2939f81b500a738cb733ab62fbecdbc1e38e83d45e12/cryptography-46.0.7-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:abad9dac36cbf55de6eb49badd4016806b3165d396f64925bf2999bcb67837ba", size = 4271955, upload-time = "2026-04-08T01:57:24.814Z" },
+    { url = "https://files.pythonhosted.org/packages/80/07/ad9b3c56ebb95ed2473d46df0847357e01583f4c52a85754d1a55e29e4d0/cryptography-46.0.7-cp38-abi3-manylinux_2_34_ppc64le.whl", hash = "sha256:935ce7e3cfdb53e3536119a542b839bb94ec1ad081013e9ab9b7cfd478b05006", size = 4879888, upload-time = "2026-04-08T01:57:26.88Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/c7/201d3d58f30c4c2bdbe9b03844c291feb77c20511cc3586daf7edc12a47b/cryptography-46.0.7-cp38-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:35719dc79d4730d30f1c2b6474bd6acda36ae2dfae1e3c16f2051f215df33ce0", size = 4449961, upload-time = "2026-04-08T01:57:29.068Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/ef/649750cbf96f3033c3c976e112265c33906f8e462291a33d77f90356548c/cryptography-46.0.7-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:7bbc6ccf49d05ac8f7d7b5e2e2c33830d4fe2061def88210a126d130d7f71a85", size = 4401696, upload-time = "2026-04-08T01:57:31.029Z" },
+    { url = "https://files.pythonhosted.org/packages/41/52/a8908dcb1a389a459a29008c29966c1d552588d4ae6d43f3a1a4512e0ebe/cryptography-46.0.7-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a1529d614f44b863a7b480c6d000fe93b59acee9c82ffa027cfadc77521a9f5e", size = 4664256, upload-time = "2026-04-08T01:57:33.144Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/fa/f0ab06238e899cc3fb332623f337a7364f36f4bb3f2534c2bb95a35b132c/cryptography-46.0.7-cp38-abi3-win32.whl", hash = "sha256:f247c8c1a1fb45e12586afbb436ef21ff1e80670b2861a90353d9b025583d246", size = 3013001, upload-time = "2026-04-08T01:57:34.933Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/f1/00ce3bde3ca542d1acd8f8cfa38e446840945aa6363f9b74746394b14127/cryptography-46.0.7-cp38-abi3-win_amd64.whl", hash = "sha256:506c4ff91eff4f82bdac7633318a526b1d1309fc07ca76a3ad182cb5b686d6d3", size = 3472985, upload-time = "2026-04-08T01:57:36.714Z" },
+    { url = "https://files.pythonhosted.org/packages/63/0c/dca8abb64e7ca4f6b2978769f6fea5ad06686a190cec381f0a796fdcaaba/cryptography-46.0.7-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:fc9ab8856ae6cf7c9358430e49b368f3108f050031442eaeb6b9d87e4dcf4e4f", size = 3476879, upload-time = "2026-04-08T01:57:38.664Z" },
+    { url = "https://files.pythonhosted.org/packages/3a/ea/075aac6a84b7c271578d81a2f9968acb6e273002408729f2ddff517fed4a/cryptography-46.0.7-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d3b99c535a9de0adced13d159c5a9cf65c325601aa30f4be08afd680643e9c15", size = 4219700, upload-time = "2026-04-08T01:57:40.625Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/7b/1c55db7242b5e5612b29fc7a630e91ee7a6e3c8e7bf5406d22e206875fbd/cryptography-46.0.7-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d02c738dacda7dc2a74d1b2b3177042009d5cab7c7079db74afc19e56ca1b455", size = 4385982, upload-time = "2026-04-08T01:57:42.725Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/da/9870eec4b69c63ef5925bf7d8342b7e13bc2ee3d47791461c4e49ca212f4/cryptography-46.0.7-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:04959522f938493042d595a736e7dbdff6eb6cc2339c11465b3ff89343b65f65", size = 4219115, upload-time = "2026-04-08T01:57:44.939Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/72/05aa5832b82dd341969e9a734d1812a6aadb088d9eb6f0430fc337cc5a8f/cryptography-46.0.7-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:3986ac1dee6def53797289999eabe84798ad7817f3e97779b5061a95b0ee4968", size = 4385479, upload-time = "2026-04-08T01:57:46.86Z" },
+    { url = "https://files.pythonhosted.org/packages/20/2a/1b016902351a523aa2bd446b50a5bc1175d7a7d1cf90fe2ef904f9b84ebc/cryptography-46.0.7-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:258514877e15963bd43b558917bc9f54cf7cf866c38aa576ebf47a77ddbc43a4", size = 3412829, upload-time = "2026-04-08T01:57:48.874Z" },
 ]

 [[package]]
Author	SHA1	Message	Date
Devin AI	0a22307962	fix: reuse parent run_id in nested streaming and fix test context isolation Co-Authored-By: João <joao@crewai.com>	2026-04-09 06:06:12 +00:00
Devin AI	5511f0a089	fix: add run_id scoping to streaming handlers to prevent cross-run chunk contamination (#5376 ) The singleton event bus fans out LLMStreamChunkEvent to all registered handlers. When multiple streaming runs execute concurrently, each run's handler receives chunks from all other runs, causing cross-run chunk contamination. Fix: - Add run_id field to LLMStreamChunkEvent - Use contextvars.ContextVar to track the current streaming run_id - create_streaming_state() generates a unique run_id per run and sets it in the context var - LLM emit paths (base_llm.py, llm.py) stamp run_id on emitted events - Stream handler filters events by matching run_id Tests: - Handler rejects events from different run_id - Two concurrent streaming states receive only their own events - Two concurrent threads with isolated contextvars receive only their own chunks - run_id field defaults to None for backward compatibility Co-Authored-By: João <joao@crewai.com>	2026-04-09 05:56:47 +00:00
Greyson LaLonde	06fe163611	docs: update changelog and version for v1.14.2a1 Some checks failed Nightly Canary Release / Check for new commits (push) Has been cancelled Details Nightly Canary Release / Build nightly packages (push) Has been cancelled Details Nightly Canary Release / Publish nightly to PyPI (push) Has been cancelled Details Mark stale issues and pull requests / stale (push) Has been cancelled Details Build uv cache / build-cache (3.10) (push) Has been cancelled Details Build uv cache / build-cache (3.11) (push) Has been cancelled Details Build uv cache / build-cache (3.12) (push) Has been cancelled Details Build uv cache / build-cache (3.13) (push) Has been cancelled Details CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Check Documentation Broken Links / Check broken links (push) Has been cancelled Details Vulnerability Scan / pip-audit (push) Has been cancelled Details	2026-04-09 07:26:22 +08:00
Greyson LaLonde	3b52b1a800	feat: bump versions to 1.14.2a1	2026-04-09 07:21:39 +08:00
Greyson LaLonde	9ab67552a7	fix: emit flow_finished event after HITL resume resume_async() was missing trace infrastructure that kickoff_async() sets up, causing flow_finished to never reach the platform after HITL feedback. Add FlowStartedEvent emission to initialize the trace batch, await event futures, finalize the trace batch, and guard with suppress_flow_events.	2026-04-09 05:31:31 +08:00
Greyson LaLonde	8cdde16ac8	fix: bump cryptography to 46.0.7 for CVE-2026-39892	2026-04-09 05:17:31 +08:00
Greyson LaLonde	0e590ff669	refactor: use shared I18N_DEFAULT singleton	2026-04-09 04:29:53 +08:00
Greyson LaLonde	15f5bff043	docs: update changelog and version for v1.14.1 Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Check Documentation Broken Links / Check broken links (push) Has been cancelled Details Vulnerability Scan / pip-audit (push) Has been cancelled Details	2026-04-09 01:56:51 +08:00
Greyson LaLonde	a0578bb6c3	feat: bump versions to 1.14.1	2026-04-09 01:45:40 +08:00
Greyson LaLonde	00400a9f31	ci: skip python tests, lint, and type checks on docs-only PRs	2026-04-09 01:34:47 +08:00
Lorenze Jay	5c08e566b5	dedicate skills page (#5331 )	2026-04-08 10:10:18 -07:00