Merge branch 'main' into feat/open-sandbox-tool

chore: update tool specifications
2026-05-22 09:28:12 +00:00 · 2026-05-12 12:42:00 -07:00 · 2026-05-11 17:17:50 +00:00 · 2026-05-11 10:16:32 -07:00 · 2026-05-08 23:02:12 +00:00
50 changed files with 1356 additions and 3573 deletions
--- a/docs/ar/changelog.mdx
+++ b/docs/ar/changelog.mdx
@@ -4,86 +4,6 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
 icon: "clock"
 mode: "wide"
 ---
-<Update label="19 مايو 2026">
-  ## v1.14.5
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5)
-
-  ## ما الذي تغير
-
-  ### الميزات
-  - إلغاء استخدام `CrewAgentExecutor`، وتعيين وكلاء الطاقم الافتراضيين إلى `AgentExecutor`
-  - تحسين أدوات صندوق الرمل Daytona
-  - إضافة معلمة بدء `restore_from_state_id`
-  - إضافة تسليط الضوء على `ExaSearchTool`، وإعادة تسميته من `EXASearchTool`
-
-  ### إصلاحات الأخطاء
-  - إصلاح تسرب الذاكرة في `git.py` باستخدام `cached_property`
-  - عرض استدعاءات الأدوات المتدفقة عندما تكون `available_functions` غائبة
-  - ضمان تحميل أحداث `skills` للتتبع
-  - تصحيح مسار نقطة النهاية للحالة من `/{kickoff_id}/status` إلى `/status/{kickoff_id}`
-  - استعادة كتلة الشيفرة المفقودة في دليل التدفق الأول للغة البرتغالية (pt-BR)
-  - منع `result_as_answer` من إرجاع رسائل الخطأ أو الكتل المرتبطة كإجابة نهائية
-  - الحفاظ على مخرجات المهام عبر تفريغ الدفعات غير المتزامنة
-  - دائمًا استعادة `task.output_pydantic` في كتلة finally
-  - التعامل مع إدخال `BaseModel` في `convert_to_model`
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.14.5
-  - إضافة دليل ترقية OSS و انتقال الطاقم إلى التدفق
-  - توثيق متغيرات البيئة الإضافية لأدوات المطور
-  - إضافة وثائق لـ `TavilyGetResearch`
-
-  ### إعادة الهيكلة
-  - استخراج واجهة سطر الأوامر إلى حزمة مستقلة `crewai-cli`
-
-  ## المساهمون
-
-  @NIK-TIGER-BILL, @akaKuruma, @cgoeppinger, @github-actions[bot], @greysonlalonde, @heitorado, @irfaan101, @iris-clawd, @lorenzejay, @manisrinivasan2k1, @minasami-pr, @mislavivanda, @theCyberTech, @theishangoswami, @wishhyt
-
-</Update>
-
-<Update label="18 مايو 2026">
-  ## v1.14.5a7
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a7)
-
-  ## ما الذي تغير
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.14.5a6
-
-  ### تغييرات كسرية
-  - إلغاء حقل function_calling_llm
-
-  ## المساهمون
-
-  @greysonlalonde, @heitorado
-
-</Update>
-
-<Update label="15 مايو 2026">
-  ## v1.14.5a6
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a6)
-
-  ## ما الذي تغير
-
-  ### إصلاحات الأخطاء
-  - إصلاح استدعاءات الأدوات المتدفقة عندما تكون available_functions غائبة
-  - رفع اعتماد langsmith إلى الإصدار >=0.8.0 لمعالجة GHSA-3644-q5cj-c5c7
-  - حل مشاكل الأماكن الشاغرة لكتل التعليمات البرمجية غير المترجمة في وثائق البرتغالية البرازيلية
-
-  ### الوثائق
-  - إضافة وثائق لـ TavilyGetResearch
-  - تحديث سجل التغييرات والإصدار لـ v1.14.5a5
-
-  ## المساهمون
-
-  @greysonlalonde, @heitorado, @iris-clawd, @lorenzejay, @manisrinivasan2k1
-
-</Update>
-
 <Update label="13 مايو 2026">
  ## v1.14.5a5

--- a/docs/ar/concepts/flows.mdx
+++ b/docs/ar/concepts/flows.mdx
@@ -29,7 +29,6 @@ from crewai.flow.flow import Flow, listen, start
 from dotenv import load_dotenv
 from litellm import completion

-load_dotenv()

 class ExampleFlow(Flow):
    model = "gpt-4o-mini"
--- a/docs/ar/enterprise/guides/enable-crew-studio.mdx
+++ b/docs/ar/enterprise/guides/enable-crew-studio.mdx
@@ -146,6 +146,7 @@ Crew Studio هو طريقة مبتكرة لإنشاء طواقم وكلاء ال

  </Step>

+{" "}
 <Step title="الإجابة على الأسئلة">
  أجب على أسئلة التوضيح من مساعد الطاقم لتنقيح
  متطلباتك.
@@ -160,10 +161,12 @@ Crew Studio هو طريقة مبتكرة لإنشاء طواقم وكلاء ال

  </Step>

+{" "}
 <Step title="الموافقة أو التعديل">
  وافق على الخطة أو اطلب تغييرات إذا لزم الأمر.
 </Step>

+{" "}
 <Step title="التنزيل أو النشر">
  نزّل الكود للتخصيص أو انشر مباشرة على المنصة.
 </Step>
--- a/docs/ar/learn/llm-selection-guide.mdx
+++ b/docs/ar/learn/llm-selection-guide.mdx
@@ -802,6 +802,7 @@ The tables below show a representative sample of current top-performing models a
    Begin with well-established models like **GPT-4.1**, **Claude 3.7 Sonnet**, or **Gemini 2.0 Flash** that offer good performance across multiple dimensions and have extensive real-world validation.
  </Step>

+{" "}
 <Step title="Identify Specialized Needs">
  Determine if your crew has specific requirements (coding, reasoning, speed)
  that would benefit from specialized models like **Claude 4 Sonnet** for
@@ -809,6 +810,7 @@ The tables below show a representative sample of current top-performing models a
  consider fast inference providers like **Groq** alongside model selection.
 </Step>

+{" "}
 <Step title="Implement Multi-Model Strategy">
  Use different models for different agents based on their roles.
  High-capability models for managers and complex tasks, efficient models for
--- a/docs/docs.json
+++ b/docs/docs.json
--- a/docs/en/changelog.mdx
+++ b/docs/en/changelog.mdx
@@ -4,86 +4,6 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="May 19, 2026">
-  ## v1.14.5
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5)
-
-  ## What's Changed
-
-  ### Features
-  - Deprecate `CrewAgentExecutor`, default Crew agents to `AgentExecutor`
-  - Improve Daytona sandbox tools
-  - Add `restore_from_state_id` kickoff parameter
-  - Add highlights to `ExaSearchTool`, rename from `EXASearchTool`
-
-  ### Bug Fixes
-  - Fix memory leak in `git.py` by using `cached_property`
-  - Surface streamed tool calls when `available_functions` is absent
-  - Ensure `skills` loading events for traces
-  - Correct status endpoint path from `/{kickoff_id}/status` to `/status/{kickoff_id}`
-  - Restore missing code block in pt-BR first-flow guide
-  - Prevent `result_as_answer` from returning hook-block or error messages as final answer
-  - Preserve task outputs across async batch flush
-  - Always restore `task.output_pydantic` in finally block
-  - Handle `BaseModel` input in `convert_to_model`
-
-  ### Documentation
-  - Update changelog and version for v1.14.5
-  - Add OSS upgrade & crew-to-flow migration guide
-  - Document additional env vars for devtools
-  - Add docs for `TavilyGetResearch`
-
-  ### Refactoring
-  - Extract CLI into standalone `crewai-cli` package
-
-  ## Contributors
-
-  @NIK-TIGER-BILL, @akaKuruma, @cgoeppinger, @github-actions[bot], @greysonlalonde, @heitorado, @irfaan101, @iris-clawd, @lorenzejay, @manisrinivasan2k1, @minasami-pr, @mislavivanda, @theCyberTech, @theishangoswami, @wishhyt
-
-</Update>
-
-<Update label="May 18, 2026">
-  ## v1.14.5a7
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a7)
-
-  ## What's Changed
-
-  ### Documentation
-  - Update changelog and version for v1.14.5a6
-
-  ### Breaking Changes
-  - Deprecate function_calling_llm field
-
-  ## Contributors
-
-  @greysonlalonde, @heitorado
-
-</Update>
-
-<Update label="May 15, 2026">
-  ## v1.14.5a6
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a6)
-
-  ## What's Changed
-
-  ### Bug Fixes
-  - Fix streamed tool calls when available_functions is absent
-  - Bump langsmith dependency to version >=0.8.0 to address GHSA-3644-q5cj-c5c7
-  - Resolve untranslated code block placeholders in Brazilian Portuguese documentation
-
-  ### Documentation
-  - Add documentation for TavilyGetResearch
-  - Update changelog and version for v1.14.5a5
-
-  ## Contributors
-
-  @greysonlalonde, @heitorado, @iris-clawd, @lorenzejay, @manisrinivasan2k1
-
-</Update>
-
 <Update label="May 13, 2026">
  ## v1.14.5a5

--- a/docs/en/concepts/flows.mdx
+++ b/docs/en/concepts/flows.mdx
@@ -29,7 +29,6 @@ from crewai.flow.flow import Flow, listen, start
 from dotenv import load_dotenv
 from litellm import completion

-load_dotenv()

 class ExampleFlow(Flow):
    model = "gpt-4o-mini"
--- a/docs/en/enterprise/guides/enable-crew-studio.mdx
+++ b/docs/en/enterprise/guides/enable-crew-studio.mdx
@@ -146,6 +146,7 @@ Here's a typical workflow for creating a crew with Crew Studio:

  </Step>

+{" "}
 <Step title="Answer Questions">
  Respond to clarifying questions from the Crew Assistant to refine your
  requirements.
@@ -160,10 +161,12 @@ Here's a typical workflow for creating a crew with Crew Studio:

  </Step>

+{" "}
 <Step title="Approve or Modify">
  Approve the plan or request changes if necessary.
 </Step>

+{" "}
 <Step title="Download or Deploy">
  Download the code for customization or deploy directly to the platform.
 </Step>
--- a/docs/en/guides/flows/mastering-flow-state.mdx
+++ b/docs/en/guides/flows/mastering-flow-state.mdx
@@ -313,9 +313,9 @@ flow1 = PersistentCounterFlow()
 result1 = flow1.kickoff()
 print(f"First run result: {result1}")

-# Second run - pass the ID to load the persisted state
+# Second run - state is automatically loaded
 flow2 = PersistentCounterFlow()
-result2 = flow2.kickoff(inputs={"id": flow1.state.id})
+result2 = flow2.kickoff()
 print(f"Second run result: {result2}")  # Will be higher due to persisted state
 ```

--- a/docs/en/learn/llm-selection-guide.mdx
+++ b/docs/en/learn/llm-selection-guide.mdx
@@ -805,6 +805,7 @@ The tables below show a representative sample of current top-performing models a
    Begin with well-established models like **GPT-4.1**, **Claude 3.7 Sonnet**, or **Gemini 2.0 Flash** that offer good performance across multiple dimensions and have extensive real-world validation.
  </Step>

+{" "}
 <Step title="Identify Specialized Needs">
  Determine if your crew has specific requirements (coding, reasoning, speed)
  that would benefit from specialized models like **Claude 4 Sonnet** for
@@ -812,6 +813,7 @@ The tables below show a representative sample of current top-performing models a
  consider fast inference providers like **Groq** alongside model selection.
 </Step>

+{" "}
 <Step title="Implement Multi-Model Strategy">
  Use different models for different agents based on their roles.
  High-capability models for managers and complex tasks, efficient models for
--- a/docs/ko/changelog.mdx
+++ b/docs/ko/changelog.mdx
@@ -4,86 +4,6 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="2026년 5월 19일">
-  ## v1.14.5
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5)
-
-  ## 변경 사항
-
-  ### 기능
-  - `CrewAgentExecutor` 사용 중단, 기본 Crew 에이전트를 `AgentExecutor`로 설정
-  - Daytona 샌드박스 도구 개선
-  - `restore_from_state_id` 시작 매개변수 추가
-  - `ExaSearchTool`에 하이라이트 추가, 이름을 `EXASearchTool`에서 변경
-
-  ### 버그 수정
-  - `git.py`에서 `cached_property`를 사용하여 메모리 누수 수정
-  - `available_functions`가 없을 때 스트리밍 도구 호출 표시
-  - 추적을 위한 `skills` 로딩 이벤트 보장
-  - 상태 엔드포인트 경로를 `/{kickoff_id}/status`에서 `/status/{kickoff_id}`로 수정
-  - pt-BR 첫 흐름 가이드에서 누락된 코드 블록 복원
-  - `result_as_answer`가 후크 블록이나 오류 메시지를 최종 답변으로 반환하지 않도록 방지
-  - 비동기 배치 플러시 간 작업 출력 보존
-  - 항상 finally 블록에서 `task.output_pydantic` 복원
-  - `convert_to_model`에서 `BaseModel` 입력 처리
-
-  ### 문서화
-  - v1.14.5에 대한 변경 로그 및 버전 업데이트
-  - OSS 업그레이드 및 Crew-투-흐름 마이그레이션 가이드 추가
-  - 개발 도구를 위한 추가 환경 변수 문서화
-  - `TavilyGetResearch`에 대한 문서 추가
-
-  ### 리팩토링
-  - CLI를 독립형 `crewai-cli` 패키지로 추출
-
-  ## 기여자
-
-  @NIK-TIGER-BILL, @akaKuruma, @cgoeppinger, @github-actions[bot], @greysonlalonde, @heitorado, @irfaan101, @iris-clawd, @lorenzejay, @manisrinivasan2k1, @minasami-pr, @mislavivanda, @theCyberTech, @theishangoswami, @wishhyt
-
-</Update>
-
-<Update label="2026년 5월 18일">
-  ## v1.14.5a7
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a7)
-
-  ## 변경 사항
-
-  ### 문서
-  - v1.14.5a6의 변경 로그 및 버전 업데이트
-
-  ### 주요 변경 사항
-  - function_calling_llm 필드 사용 중단
-
-  ## 기여자
-
-  @greysonlalonde, @heitorado
-
-</Update>
-
-<Update label="2026년 5월 15일">
-  ## v1.14.5a6
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a6)
-
-  ## 변경 사항
-
-  ### 버그 수정
-  - available_functions가 없을 때 스트리밍 도구 호출 수정
-  - GHSA-3644-q5cj-c5c7 문제를 해결하기 위해 langsmith 의존성을 버전 >=0.8.0으로 업데이트
-  - 브라질 포르투갈어 문서에서 번역되지 않은 코드 블록 자리 표시자 해결
-
-  ### 문서
-  - TavilyGetResearch에 대한 문서 추가
-  - v1.14.5a5에 대한 변경 로그 및 버전 업데이트
-
-  ## 기여자
-
-  @greysonlalonde, @heitorado, @iris-clawd, @lorenzejay, @manisrinivasan2k1
-
-</Update>
-
 <Update label="2026년 5월 13일">
  ## v1.14.5a5

--- a/docs/ko/concepts/flows.mdx
+++ b/docs/ko/concepts/flows.mdx
@@ -29,7 +29,6 @@ from crewai.flow.flow import Flow, listen, start
 from dotenv import load_dotenv
 from litellm import completion

-load_dotenv()

 class ExampleFlow(Flow):
    model = "gpt-4o-mini"
--- a/docs/ko/enterprise/guides/enable-crew-studio.mdx
+++ b/docs/ko/enterprise/guides/enable-crew-studio.mdx
@@ -145,6 +145,7 @@ LLM 연결과 기본 설정을 구성했다면 이제 Crew Studio 사용을 시

  </Step>

+{" "}
 <Step title="질문에 답하기">
  crew assistant가 요구 사항을 구체화할 수 있도록 하는 추가 질문에 답변하세요.
 </Step>
@@ -158,10 +159,12 @@ LLM 연결과 기본 설정을 구성했다면 이제 Crew Studio 사용을 시

  </Step>

+{" "}
 <Step title="승인 또는 수정">
  계획을 승인하거나 필요하다면 변경을 요청하세요.
 </Step>

+{" "}
 <Step title="다운로드 또는 배포">
  사용자화를 위해 코드를 다운로드하거나 플랫폼에 직접 배포하세요.
 </Step>
--- a/docs/ko/learn/llm-selection-guide.mdx
+++ b/docs/ko/learn/llm-selection-guide.mdx
@@ -797,6 +797,7 @@ LLM 선택을 최적화하고자 하는 팀을 위해 **CrewAI AMP 플랫폼**
    여러 차원에서 우수한 성능을 제공하며 실제 환경에서 광범위하게 검증된 **GPT-4.1**, **Claude 3.7 Sonnet**, **Gemini 2.0 Flash**와 같은 잘 알려진 모델부터 시작하십시오.
  </Step>

+{" "}
 <Step title="특화된 요구 사항 식별">
  crew에 코드 작성, reasoning, 속도 등 특정 요구가 있는지 확인하고, 이러한
  요구에 부합하는 **Claude 4 Sonnet**(개발용) 또는 **o3**(복잡한 분석용)과 같은
@@ -804,6 +805,7 @@ LLM 선택을 최적화하고자 하는 팀을 위해 **CrewAI AMP 플랫폼**
  더불어 **Groq**와 같은 빠른 추론 제공자를 고려할 수 있습니다.
 </Step>

+{" "}
 <Step title="다중 모델 전략 구현">
  각 에이전트의 역할에 따라 다양한 모델을 사용하세요. 관리자와 복잡한 작업에는
  고성능 모델을, 일상적 운영에는 효율적인 모델을 적용합니다.
--- a/docs/pt-BR/changelog.mdx
+++ b/docs/pt-BR/changelog.mdx
@@ -4,86 +4,6 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="19 mai 2026">
-  ## v1.14.5
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5)
-
-  ## O que Mudou
-
-  ### Recursos
-  - Deprecar `CrewAgentExecutor`, definir agentes Crew como `AgentExecutor`
-  - Melhorar ferramentas do sandbox Daytona
-  - Adicionar parâmetro de início `restore_from_state_id`
-  - Adicionar destaques ao `ExaSearchTool`, renomeando de `EXASearchTool`
-
-  ### Correções de Bugs
-  - Corrigir vazamento de memória em `git.py` usando `cached_property`
-  - Exibir chamadas de ferramentas transmitidas quando `available_functions` está ausente
-  - Garantir eventos de carregamento de `skills` para rastros
-  - Corrigir caminho do endpoint de status de `/{kickoff_id}/status` para `/status/{kickoff_id}`
-  - Restaurar bloco de código ausente no guia de primeiro fluxo em pt-BR
-  - Impedir que `result_as_answer` retorne mensagens de bloqueio de hook ou de erro como resposta final
-  - Preservar saídas de tarefas durante o descarregamento assíncrono em lote
-  - Sempre restaurar `task.output_pydantic` no bloco finally
-  - Lidar com entrada de `BaseModel` em `convert_to_model`
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.14.5
-  - Adicionar guia de migração de atualização OSS & crew-to-flow
-  - Documentar variáveis de ambiente adicionais para devtools
-  - Adicionar documentação para `TavilyGetResearch`
-
-  ### Refatoração
-  - Extrair CLI para o pacote autônomo `crewai-cli`
-
-  ## Contribuidores
-
-  @NIK-TIGER-BILL, @akaKuruma, @cgoeppinger, @github-actions[bot], @greysonlalonde, @heitorado, @irfaan101, @iris-clawd, @lorenzejay, @manisrinivasan2k1, @minasami-pr, @mislavivanda, @theCyberTech, @theishangoswami, @wishhyt
-
-</Update>
-
-<Update label="18 mai 2026">
-  ## v1.14.5a7
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a7)
-
-  ## O que Mudou
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.14.5a6
-
-  ### Mudanças Quebradoras
-  - Depreciar o campo function_calling_llm
-
-  ## Contributors
-
-  @greysonlalonde, @heitorado
-
-</Update>
-
-<Update label="15 mai 2026">
-  ## v1.14.5a6
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a6)
-
-  ## O que mudou
-
-  ### Correções de Bugs
-  - Corrigir chamadas de ferramentas transmitidas quando available_functions está ausente
-  - Atualizar a dependência langsmith para a versão >=0.8.0 para resolver GHSA-3644-q5cj-c5c7
-  - Resolver espaços reservados de blocos de código não traduzidos na documentação em português brasileiro
-
-  ### Documentação
-  - Adicionar documentação para TavilyGetResearch
-  - Atualizar changelog e versão para v1.14.5a5
-
-  ## Contributors
-
-  @greysonlalonde, @heitorado, @iris-clawd, @lorenzejay, @manisrinivasan2k1
-
-</Update>
-
 <Update label="13 mai 2026">
  ## v1.14.5a5

--- a/docs/pt-BR/concepts/flows.mdx
+++ b/docs/pt-BR/concepts/flows.mdx
@@ -24,63 +24,7 @@ Os flows permitem que você crie fluxos de trabalho estruturados e orientados po
 Vamos criar um Flow simples no qual você usará a OpenAI para gerar uma cidade aleatória em uma tarefa e, em seguida, usará essa cidade para gerar uma curiosidade em outra tarefa.

 ```python Code
-
-from crewai.flow.flow import Flow, listen, start
-from dotenv import load_dotenv
-from litellm import completion
-
-load_dotenv()
-
-class ExampleFlow(Flow):
-    model = "gpt-4o-mini"
-
-    @start()
-    def generate_city(self):
-        print("Starting flow")
-        # Cada estado do flow recebe automaticamente um ID único
-        print(f"Flow State ID: {self.state['id']}")
-
-        response = completion(
-            model=self.model,
-            messages=[
-                {
-                    "role": "user",
-                    "content": "Return the name of a random city in the world.",
-                },
-            ],
-        )
-
-        random_city = response["choices"][0]["message"]["content"]
-        # Armazena a cidade no nosso estado
-        self.state["city"] = random_city
-        print(f"Random City: {random_city}")
-
-        return random_city
-
-    @listen(generate_city)
-    def generate_fun_fact(self, random_city):
-        response = completion(
-            model=self.model,
-            messages=[
-                {
-                    "role": "user",
-                    "content": f"Tell me a fun fact about {random_city}",
-                },
-            ],
-        )
-
-        fun_fact = response["choices"][0]["message"]["content"]
-        # Armazena a curiosidade no nosso estado
-        self.state["fun_fact"] = fun_fact
-        return fun_fact
-
-
-
-flow = ExampleFlow()
-flow.plot()
-result = flow.kickoff()
-
-print(f"Generated fun fact: {result}")
+# (O código não é traduzido)
 ```

 Na ilustração acima, criamos um Flow simples que gera uma cidade aleatória usando a OpenAI e depois cria uma curiosidade sobre essa cidade. O Flow consiste em duas tarefas: `generate_city` e `generate_fun_fact`. A tarefa `generate_city` é o ponto de início do Flow, enquanto a tarefa `generate_fun_fact` fica escutando o resultado da tarefa `generate_city`.
@@ -112,16 +56,12 @@ O decorador `@listen()` pode ser usado de várias formas:
 1. **Escutando um Método pelo Nome**: Você pode passar o nome do método ao qual deseja escutar como string. Quando esse método concluir, o método ouvinte será chamado.

   ```python Code
-   @listen("generate_city")
-   def generate_fun_fact(self, random_city):
-       # Implementação
+   # (O código não é traduzido)
   ```

 2. **Escutando um Método Diretamente**: Você pode passar o próprio método. Quando esse método concluir, o método ouvinte será chamado.
   ```python Code
-   @listen(generate_city)
-   def generate_fun_fact(self, random_city):
-       # Implementação
+   # (O código não é traduzido)
   ```

 ### Saída de um Flow
@@ -136,24 +76,7 @@ Veja como acessar a saída final:

 <CodeGroup>
 ```python Code
-from crewai.flow.flow import Flow, listen, start
-
-class OutputExampleFlow(Flow):
-    @start()
-    def first_method(self):
-        return "Output from first_method"
-
-    @listen(first_method)
-    def second_method(self, first_output):
-        return f"Second method received: {first_output}"
-
-
-flow = OutputExampleFlow()
-flow.plot("my_flow_plot")
-final_output = flow.kickoff()
-
-print("---- Final Output ----")
-print(final_output)
+# (O código não é traduzido)
 ```

 ```text Output
@@ -174,34 +97,8 @@ Além de recuperar a saída final, você pode acessar e atualizar o estado dentr
 Veja um exemplo de como atualizar e acessar o estado:

 <CodeGroup>
-
 ```python Code
-from crewai.flow.flow import Flow, listen, start
-from pydantic import BaseModel
-
-class ExampleState(BaseModel):
-    counter: int = 0
-    message: str = ""
-
-class StateExampleFlow(Flow[ExampleState]):
-
-    @start()
-    def first_method(self):
-        self.state.message = "Hello from first_method"
-        self.state.counter += 1
-
-    @listen(first_method)
-    def second_method(self):
-        self.state.message += " - updated by second_method"
-        self.state.counter += 1
-        return self.state.message
-
-flow = StateExampleFlow()
-flow.plot("my_flow_plot")
-final_output = flow.kickoff()
-print(f"Final Output: {final_output}")
-print("Final State:")
-print(flow.state)
+# (O código não é traduzido)
 ```

 ```text Output
@@ -231,33 +128,7 @@ Essa abordagem oferece flexibilidade, permitindo que o desenvolvedor adicione ou
 Mesmo com estados não estruturados, os flows do CrewAI geram e mantêm automaticamente um identificador único (UUID) para cada instância de estado.

 ```python Code
-from crewai.flow.flow import Flow, listen, start
-
-class UnstructuredExampleFlow(Flow):
-
-    @start()
-    def first_method(self):
-        # O estado inclui automaticamente um campo 'id'
-        print(f"State ID: {self.state['id']}")
-        self.state['counter'] = 0
-        self.state['message'] = "Hello from structured flow"
-
-    @listen(first_method)
-    def second_method(self):
-        self.state['counter'] += 1
-        self.state['message'] += " - updated"
-
-    @listen(second_method)
-    def third_method(self):
-        self.state['counter'] += 1
-        self.state['message'] += " - updated again"
-
-        print(f"State after third_method: {self.state}")
-
-
-flow = UnstructuredExampleFlow()
-flow.plot("my_flow_plot")
-flow.kickoff()
+# (O código não é traduzido)
 ```

 ![Flow Visual image](/images/crewai-flow-3.png)
@@ -277,39 +148,7 @@ Ao usar modelos como o `BaseModel` da Pydantic, os desenvolvedores podem definir
 Cada estado nos flows do CrewAI recebe automaticamente um identificador único (UUID) para ajudar no rastreamento e gerenciamento. Esse ID é gerado e mantido automaticamente pelo sistema de flows.

 ```python Code
-from crewai.flow.flow import Flow, listen, start
-from pydantic import BaseModel
-
-
-class ExampleState(BaseModel):
-    # Nota: o campo 'id' é adicionado automaticamente a todos os estados
-    counter: int = 0
-    message: str = ""
-
-
-class StructuredExampleFlow(Flow[ExampleState]):
-
-    @start()
-    def first_method(self):
-        # Acesse o ID gerado automaticamente, se necessário
-        print(f"State ID: {self.state.id}")
-        self.state.message = "Hello from structured flow"
-
-    @listen(first_method)
-    def second_method(self):
-        self.state.counter += 1
-        self.state.message += " - updated"
-
-    @listen(second_method)
-    def third_method(self):
-        self.state.counter += 1
-        self.state.message += " - updated again"
-
-        print(f"State after third_method: {self.state}")
-
-
-flow = StructuredExampleFlow()
-flow.kickoff()
+# (O código não é traduzido)
 ```

 ![Flow Visual image](/images/crewai-flow-3.png)
@@ -343,19 +182,7 @@ O decorador @persist permite a persistência automática do estado nos flows do
 Quando aplicado no nível da classe, o decorador @persist garante a persistência automática de todos os estados dos métodos do flow:

 ```python
-@persist  # Usa SQLiteFlowPersistence por padrão
-class MyFlow(Flow[MyState]):
-    @start()
-    def initialize_flow(self):
-        # Este método terá seu estado persistido automaticamente
-        self.state.counter = 1
-        print("Initialized flow. State ID:", self.state.id)
-
-    @listen(initialize_flow)
-    def next_step(self):
-        # O estado (incluindo self.state.id) é recarregado automaticamente
-        self.state.counter += 1
-        print("Flow state is persisted. Counter:", self.state.counter)
+# (O código não é traduzido)
 ```

 ### Persistência no Nível de Método
@@ -363,14 +190,7 @@ class MyFlow(Flow[MyState]):
 Para um controle mais granular, você pode aplicar @persist em métodos específicos:

 ```python
-class AnotherFlow(Flow[dict]):
-    @persist  # Persiste apenas o estado deste método
-    @start()
-    def begin(self):
-        if "runs" not in self.state:
-            self.state["runs"] = 0
-        self.state["runs"] += 1
-        print("Method-level persisted runs:", self.state["runs"])
+# (O código não é traduzido)
 ```

 ### Forking de Estado Persistido
@@ -462,29 +282,8 @@ A arquitetura de persistência enfatiza precisão técnica e opções de persona
 A função `or_` nos flows permite escutar múltiplos métodos e acionar o método ouvinte quando qualquer um dos métodos especificados gerar uma saída.

 <CodeGroup>
-
 ```python Code
-from crewai.flow.flow import Flow, listen, or_, start
-
-class OrExampleFlow(Flow):
-
-    @start()
-    def start_method(self):
-        return "Hello from the start method"
-
-    @listen(start_method)
-    def second_method(self):
-        return "Hello from the second method"
-
-    @listen(or_(start_method, second_method))
-    def logger(self, result):
-        print(f"Logger: {result}")
-
-
-
-flow = OrExampleFlow()
-flow.plot("my_flow_plot")
-flow.kickoff()
+# (O código não é traduzido)
 ```

 ```text Output
@@ -503,28 +302,8 @@ A função `or_` serve para escutar vários métodos e disparar o método ouvint
 A função `and_` nos flows permite escutar múltiplos métodos e acionar o método ouvinte apenas quando todos os métodos especificados emitirem uma saída.

 <CodeGroup>
-
 ```python Code
-from crewai.flow.flow import Flow, and_, listen, start
-
-class AndExampleFlow(Flow):
-
-    @start()
-    def start_method(self):
-        self.state["greeting"] = "Hello from the start method"
-
-    @listen(start_method)
-    def second_method(self):
-        self.state["joke"] = "What do computers eat? Microchips."
-
-    @listen(and_(start_method, second_method))
-    def logger(self):
-        print("---- Logger ----")
-        print(self.state)
-
-flow = AndExampleFlow()
-flow.plot()
-flow.kickoff()
+# (O código não é traduzido)
 ```

 ```text Output
@@ -544,42 +323,8 @@ O decorador `@router()` nos flows permite definir lógica de roteamento condicio
 Você pode especificar diferentes rotas conforme a saída do método, permitindo controlar o fluxo de execução de forma dinâmica.

 <CodeGroup>
-
 ```python Code
-import random
-from crewai.flow.flow import Flow, listen, router, start
-from pydantic import BaseModel
-
-class ExampleState(BaseModel):
-    success_flag: bool = False
-
-class RouterFlow(Flow[ExampleState]):
-
-    @start()
-    def start_method(self):
-        print("Starting the structured flow")
-        random_boolean = random.choice([True, False])
-        self.state.success_flag = random_boolean
-
-    @router(start_method)
-    def second_method(self):
-        if self.state.success_flag:
-            return "success"
-        else:
-            return "failed"
-
-    @listen("success")
-    def third_method(self):
-        print("Third method running")
-
-    @listen("failed")
-    def fourth_method(self):
-        print("Fourth method running")
-
-
-flow = RouterFlow()
-flow.plot("my_flow_plot")
-flow.kickoff()
+# (O código não é traduzido)
 ```

 ```text Output
@@ -656,105 +401,7 @@ Para um guia completo sobre feedback humano em flows, incluindo feedback assínc
 Os agentes podem ser integrados facilmente aos seus flows, oferecendo uma alternativa leve às crews completas quando você precisar executar tarefas simples e focadas. Veja um exemplo de como utilizar um agente em um flow para realizar uma pesquisa de mercado:

 ```python
-import asyncio
-from typing import Any, Dict, List
-
-from crewai_tools import SerperDevTool
-from pydantic import BaseModel, Field
-
-from crewai.agent import Agent
-from crewai.flow.flow import Flow, listen, start
-
-
-# Define um formato de saída estruturado
-class MarketAnalysis(BaseModel):
-    key_trends: List[str] = Field(description="List of identified market trends")
-    market_size: str = Field(description="Estimated market size")
-    competitors: List[str] = Field(description="Major competitors in the space")
-
-
-# Define o estado do flow
-class MarketResearchState(BaseModel):
-    product: str = ""
-    analysis: MarketAnalysis | None = None
-
-
-# Cria uma classe de flow
-class MarketResearchFlow(Flow[MarketResearchState]):
-    @start()
-    def initialize_research(self) -> Dict[str, Any]:
-        print(f"Starting market research for {self.state.product}")
-        return {"product": self.state.product}
-
-    @listen(initialize_research)
-    async def analyze_market(self) -> Dict[str, Any]:
-        # Cria um agente para pesquisa de mercado
-        analyst = Agent(
-            role="Market Research Analyst",
-            goal=f"Analyze the market for {self.state.product}",
-            backstory="You are an experienced market analyst with expertise in "
-            "identifying market trends and opportunities.",
-            tools=[SerperDevTool()],
-            verbose=True,
-        )
-
-        # Define a consulta de pesquisa
-        query = f"""
-        Research the market for {self.state.product}. Include:
-        1. Key market trends
-        2. Market size
-        3. Major competitors
-
-        Format your response according to the specified structure.
-        """
-
-        # Executa a análise com formato de saída estruturado
-        result = await analyst.kickoff_async(query, response_format=MarketAnalysis)
-        if result.pydantic:
-            print("result", result.pydantic)
-        else:
-            print("result", result)
-
-        # Retorna a análise para atualizar o estado
-        return {"analysis": result.pydantic}
-
-    @listen(analyze_market)
-    def present_results(self, analysis) -> None:
-        print("\nMarket Analysis Results")
-        print("=====================")
-
-        if isinstance(analysis, dict):
-            # Se recebemos um dict com a chave 'analysis', extrai o objeto de análise real
-            market_analysis = analysis.get("analysis")
-        else:
-            market_analysis = analysis
-
-        if market_analysis and isinstance(market_analysis, MarketAnalysis):
-            print("\nKey Market Trends:")
-            for trend in market_analysis.key_trends:
-                print(f"- {trend}")
-
-            print(f"\nMarket Size: {market_analysis.market_size}")
-
-            print("\nMajor Competitors:")
-            for competitor in market_analysis.competitors:
-                print(f"- {competitor}")
-        else:
-            print("No structured analysis data available.")
-            print("Raw analysis:", analysis)
-
-
-# Exemplo de uso
-async def run_flow():
-    flow = MarketResearchFlow()
-    flow.plot("MarketResearchFlowPlot")
-    result = await flow.kickoff_async(inputs={"product": "AI-powered chatbots"})
-    return result
-
-
-# Executa o flow
-if __name__ == "__main__":
-    asyncio.run(run_flow())
+# (O código não é traduzido)
 ```

 ![Flow Visual image](/images/crewai-flow-7.png)
@@ -816,50 +463,7 @@ No arquivo `main.py`, você cria seu flow e conecta as crews. É possível defin
 Veja um exemplo de como conectar a `poem_crew` no arquivo `main.py`:

 ```python Code
-#!/usr/bin/env python
-from random import randint
-
-from pydantic import BaseModel
-from crewai.flow.flow import Flow, listen, start
-from .crews.poem_crew.poem_crew import PoemCrew
-
-class PoemState(BaseModel):
-    sentence_count: int = 1
-    poem: str = ""
-
-class PoemFlow(Flow[PoemState]):
-
-    @start()
-    def generate_sentence_count(self):
-        print("Generating sentence count")
-        self.state.sentence_count = randint(1, 5)
-
-    @listen(generate_sentence_count)
-    def generate_poem(self):
-        print("Generating poem")
-        result = PoemCrew().crew().kickoff(inputs={"sentence_count": self.state.sentence_count})
-
-        print("Poem generated", result.raw)
-        self.state.poem = result.raw
-
-    @listen(generate_poem)
-    def save_poem(self):
-        print("Saving poem")
-        with open("poem.txt", "w") as f:
-            f.write(self.state.poem)
-
-def kickoff():
-    poem_flow = PoemFlow()
-    poem_flow.kickoff()
-
-
-def plot():
-    poem_flow = PoemFlow()
-    poem_flow.plot("PoemFlowPlot")
-
-if __name__ == "__main__":
-    kickoff()
-    plot()
+# (O código não é traduzido)
 ```

 Neste exemplo, a classe `PoemFlow` define um fluxo que gera a quantidade de frases, usa a `PoemCrew` para gerar um poema e, depois, salva o poema em um arquivo. O flow inicia com o método `kickoff()`, e o gráfico é gerado pelo método `plot()`.
@@ -911,8 +515,7 @@ O CrewAI oferece duas formas práticas de gerar plots dos seus flows:
 Se estiver trabalhando diretamente com uma instância do flow, basta chamar o método `plot()` do objeto. Isso criará um arquivo HTML com o plot interativo do seu flow.

 ```python Code
-# Considerando que você já tem uma instância do flow
-flow.plot("my_flow_plot")
+# (O código não é traduzido)
 ```

 Esse comando gera um arquivo chamado `my_flow_plot.html` no diretório atual. Abra esse arquivo em um navegador para visualizar o plot interativo.
--- a/docs/pt-BR/enterprise/guides/enable-crew-studio.mdx
+++ b/docs/pt-BR/enterprise/guides/enable-crew-studio.mdx
@@ -146,6 +146,7 @@ Veja um fluxo de trabalho típico para criação de um crew com o Crew Studio:

  </Step>

+{" "}
 <Step title="Responder Perguntas">
  Responda às perguntas de esclarecimento do Crew Assistant para refinar seus
  requisitos.
@@ -160,10 +161,12 @@ Veja um fluxo de trabalho típico para criação de um crew com o Crew Studio:

  </Step>

+{" "}
 <Step title="Aprovar ou Modificar">
  Aprove o plano ou solicite alterações, se necessário.
 </Step>

+{" "}
 <Step title="Baixar ou Fazer Deploy">
  Baixe o código para personalização ou faça o deploy diretamente na plataforma.
 </Step>
--- a/docs/pt-BR/guides/flows/mastering-flow-state.mdx
+++ b/docs/pt-BR/guides/flows/mastering-flow-state.mdx
@@ -63,60 +63,7 @@ Com estado não estruturado:
 Veja um exemplo simples de gerenciamento de estado não estruturado:

 ```python
-from crewai.flow.flow import Flow, listen, start
-
-class UnstructuredStateFlow(Flow):
-    @start()
-    def initialize_data(self):
-        print("Initializing flow data")
-        # Adiciona pares chave-valor ao estado
-        self.state["user_name"] = "Alex"
-        self.state["preferences"] = {
-            "theme": "dark",
-            "language": "English"
-        }
-        self.state["items"] = []
-
-        # O estado do flow recebe automaticamente um ID único
-        print(f"Flow ID: {self.state['id']}")
-
-        return "Initialized"
-
-    @listen(initialize_data)
-    def process_data(self, previous_result):
-        print(f"Previous step returned: {previous_result}")
-
-        # Acessa e modifica o estado
-        user = self.state["user_name"]
-        print(f"Processing data for {user}")
-
-        # Adiciona itens a uma lista no estado
-        self.state["items"].append("item1")
-        self.state["items"].append("item2")
-
-        # Adiciona um novo par chave-valor
-        self.state["processed"] = True
-
-        return "Processed"
-
-    @listen(process_data)
-    def generate_summary(self, previous_result):
-        # Acessa múltiplos valores do estado
-        user = self.state["user_name"]
-        theme = self.state["preferences"]["theme"]
-        items = self.state["items"]
-        processed = self.state.get("processed", False)
-
-        summary = f"User {user} has {len(items)} items with {theme} theme. "
-        summary += "Data is processed." if processed else "Data is not processed."
-
-        return summary
-
-# Executa o flow
-flow = UnstructuredStateFlow()
-result = flow.kickoff()
-print(f"Final result: {result}")
-print(f"Final state: {flow.state}")
+# código não traduzido
 ```

 ### Quando Usar Estado Não Estruturado
@@ -147,63 +94,7 @@ Ao utilizar estado estruturado:
 Veja como implementar o gerenciamento de estado estruturado:

 ```python
-from crewai.flow.flow import Flow, listen, start
-from pydantic import BaseModel, Field
-from typing import List, Dict, Optional
-
-# Define o modelo de estado
-class UserPreferences(BaseModel):
-    theme: str = "light"
-    language: str = "English"
-
-class AppState(BaseModel):
-    user_name: str = ""
-    preferences: UserPreferences = UserPreferences()
-    items: List[str] = []
-    processed: bool = False
-    completion_percentage: float = 0.0
-
-# Cria um flow com estado tipado
-class StructuredStateFlow(Flow[AppState]):
-    @start()
-    def initialize_data(self):
-        print("Initializing flow data")
-        # Define valores do estado (com checagem de tipo)
-        self.state.user_name = "Taylor"
-        self.state.preferences.theme = "dark"
-
-        # O campo ID está disponível automaticamente
-        print(f"Flow ID: {self.state.id}")
-
-        return "Initialized"
-
-    @listen(initialize_data)
-    def process_data(self, previous_result):
-        print(f"Processing data for {self.state.user_name}")
-
-        # Modifica o estado (com checagem de tipo)
-        self.state.items.append("item1")
-        self.state.items.append("item2")
-        self.state.processed = True
-        self.state.completion_percentage = 50.0
-
-        return "Processed"
-
-    @listen(process_data)
-    def generate_summary(self, previous_result):
-        # Acessa o estado (com autocompletar)
-        summary = f"User {self.state.user_name} has {len(self.state.items)} items "
-        summary += f"with {self.state.preferences.theme} theme. "
-        summary += "Data is processed." if self.state.processed else "Data is not processed."
-        summary += f" Completion: {self.state.completion_percentage}%"
-
-        return summary
-
-# Executa o flow
-flow = StructuredStateFlow()
-result = flow.kickoff()
-print(f"Final result: {result}")
-print(f"Final state: {flow.state}")
+# código não traduzido
 ```

 ### Benefícios do Estado Estruturado
@@ -247,29 +138,7 @@ Independente de você usar estado estruturado ou não estruturado, é possível
 Métodos do flow podem retornar valores que serão passados como argumento para métodos listeners:

 ```python
-from crewai.flow.flow import Flow, listen, start
-
-class DataPassingFlow(Flow):
-    @start()
-    def generate_data(self):
-        # Este valor de retorno será passado para os métodos listeners
-        return "Generated data"
-
-    @listen(generate_data)
-    def process_data(self, data_from_previous_step):
-        print(f"Received: {data_from_previous_step}")
-        # Você pode modificar os dados e repassá-los adiante
-        processed_data = f"{data_from_previous_step} - processed"
-        # Também atualiza o estado
-        self.state["last_processed"] = processed_data
-        return processed_data
-
-    @listen(process_data)
-    def finalize_data(self, processed_data):
-        print(f"Received processed data: {processed_data}")
-        # Acessa tanto os dados passados quanto o estado
-        last_processed = self.state.get("last_processed", "")
-        return f"Final: {processed_data} (from state: {last_processed})"
+# código não traduzido
 ```

 Esse padrão permite combinar passagem de dados direta com atualizações de estado para obter máxima flexibilidade.
@@ -287,36 +156,7 @@ O decorador `@persist()` automatiza a persistência de estado, salvando o estado
 Ao aplicar em nível de classe, `@persist()` salva o estado após cada execução de método:

 ```python
-from crewai.flow.flow import Flow, listen, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    value: int = 0
-
-@persist()  # Aplica à classe inteira do flow
-class PersistentCounterFlow(Flow[CounterState]):
-    @start()
-    def increment(self):
-        self.state.value += 1
-        print(f"Incremented to {self.state.value}")
-        return self.state.value
-
-    @listen(increment)
-    def double(self, value):
-        self.state.value = value * 2
-        print(f"Doubled to {self.state.value}")
-        return self.state.value
-
-# Primeira execução
-flow1 = PersistentCounterFlow()
-result1 = flow1.kickoff()
-print(f"First run result: {result1}")
-
-# Segunda execução - passa o ID para carregar o estado persistido
-flow2 = PersistentCounterFlow()
-result2 = flow2.kickoff(inputs={"id": flow1.state.id})
-print(f"Second run result: {result2}")  # Será maior devido ao estado persistido
+# código não traduzido
 ```

 #### Persistência em Nível de Método
@@ -324,26 +164,7 @@ print(f"Second run result: {result2}")  # Será maior devido ao estado persistid
 Para mais controle, você pode aplicar `@persist()` em métodos específicos:

 ```python
-from crewai.flow.flow import Flow, listen, start
-from crewai.flow.persistence import persist
-
-class SelectivePersistFlow(Flow):
-    @start()
-    def first_step(self):
-        self.state["count"] = 1
-        return "First step"
-
-    @persist()  # Persiste apenas após este método
-    @listen(first_step)
-    def important_step(self, prev_result):
-        self.state["count"] += 1
-        self.state["important_data"] = "This will be persisted"
-        return "Important step completed"
-
-    @listen(important_step)
-    def final_step(self, prev_result):
-        self.state["count"] += 1
-        return f"Complete with count {self.state['count']}"
+# código não traduzido
 ```

 #### Forking de Estado Persistido
@@ -395,45 +216,7 @@ Notas sobre o comportamento:
 Você pode usar o estado para implementar lógicas condicionais complexas em seus flows:

 ```python
-from crewai.flow.flow import Flow, listen, router, start
-from pydantic import BaseModel
-
-class PaymentState(BaseModel):
-    amount: float = 0.0
-    is_approved: bool = False
-    retry_count: int = 0
-
-class PaymentFlow(Flow[PaymentState]):
-    @start()
-    def process_payment(self):
-        # Simula o processamento do pagamento
-        self.state.amount = 100.0
-        self.state.is_approved = self.state.amount < 1000
-        return "Payment processed"
-
-    @router(process_payment)
-    def check_approval(self, previous_result):
-        if self.state.is_approved:
-            return "approved"
-        elif self.state.retry_count < 3:
-            return "retry"
-        else:
-            return "rejected"
-
-    @listen("approved")
-    def handle_approval(self):
-        return f"Payment of ${self.state.amount} approved!"
-
-    @listen("retry")
-    def handle_retry(self):
-        self.state.retry_count += 1
-        print(f"Retrying payment (attempt {self.state.retry_count})...")
-        # Aqui poderia ser implementada a lógica de retry
-        return "Retry initiated"
-
-    @listen("rejected")
-    def handle_rejection(self):
-        return f"Payment of ${self.state.amount} rejected after {self.state.retry_count} retries."
+# código não traduzido
 ```

 ### Manipulações Complexas de Estado
@@ -441,60 +224,7 @@ class PaymentFlow(Flow[PaymentState]):
 Para transformar estados complexos, você pode criar métodos dedicados:

 ```python
-from crewai.flow.flow import Flow, listen, start
-from pydantic import BaseModel
-from typing import List, Dict
-
-class UserData(BaseModel):
-    name: str
-    active: bool = True
-    login_count: int = 0
-
-class ComplexState(BaseModel):
-    users: Dict[str, UserData] = {}
-    active_user_count: int = 0
-
-class TransformationFlow(Flow[ComplexState]):
-    @start()
-    def initialize(self):
-        # Adiciona alguns usuários
-        self.add_user("alice", "Alice")
-        self.add_user("bob", "Bob")
-        self.add_user("charlie", "Charlie")
-        return "Initialized"
-
-    @listen(initialize)
-    def process_users(self, _):
-        # Incrementa contagens de login
-        for user_id in self.state.users:
-            self.increment_login(user_id)
-
-        # Desativa um usuário
-        self.deactivate_user("bob")
-
-        # Atualiza a contagem de ativos
-        self.update_active_count()
-
-        return f"Processed {len(self.state.users)} users"
-
-    # Métodos auxiliares para transformações de estado
-    def add_user(self, user_id: str, name: str):
-        self.state.users[user_id] = UserData(name=name)
-        self.update_active_count()
-
-    def increment_login(self, user_id: str):
-        if user_id in self.state.users:
-            self.state.users[user_id].login_count += 1
-
-    def deactivate_user(self, user_id: str):
-        if user_id in self.state.users:
-            self.state.users[user_id].active = False
-            self.update_active_count()
-
-    def update_active_count(self):
-        self.state.active_user_count = sum(
-            1 for user in self.state.users.values() if user.active
-        )
+# código não traduzido
 ```

 Esse padrão de criar métodos auxiliares mantém seus métodos de flow limpos, enquanto permite manipulações complexas de estado.
@@ -508,71 +238,7 @@ Um dos padrões mais poderosos na CrewAI é combinar o gerenciamento de estado d
 Você pode usar o estado do flow para parametrizar crews:

 ```python
-from crewai.flow.flow import Flow, listen, start
-from crewai import Agent, Crew, Process, Task
-from pydantic import BaseModel
-
-class ResearchState(BaseModel):
-    topic: str = ""
-    depth: str = "medium"
-    results: str = ""
-
-class ResearchFlow(Flow[ResearchState]):
-    @start()
-    def get_parameters(self):
-        # Em uma aplicação real, isso pode vir da entrada do usuário
-        self.state.topic = "Artificial Intelligence Ethics"
-        self.state.depth = "deep"
-        return "Parameters set"
-
-    @listen(get_parameters)
-    def execute_research(self, _):
-        # Cria os agentes
-        researcher = Agent(
-            role="Research Specialist",
-            goal=f"Research {self.state.topic} in {self.state.depth} detail",
-            backstory="You are an expert researcher with a talent for finding accurate information."
-        )
-
-        writer = Agent(
-            role="Content Writer",
-            goal="Transform research into clear, engaging content",
-            backstory="You excel at communicating complex ideas clearly and concisely."
-        )
-
-        # Cria as tarefas
-        research_task = Task(
-            description=f"Research {self.state.topic} with {self.state.depth} analysis",
-            expected_output="Comprehensive research notes in markdown format",
-            agent=researcher
-        )
-
-        writing_task = Task(
-            description=f"Create a summary on {self.state.topic} based on the research",
-            expected_output="Well-written article in markdown format",
-            agent=writer,
-            context=[research_task]
-        )
-
-        # Cria e executa a crew
-        research_crew = Crew(
-            agents=[researcher, writer],
-            tasks=[research_task, writing_task],
-            process=Process.sequential,
-            verbose=True
-        )
-
-        # Executa a crew e armazena o resultado no estado
-        result = research_crew.kickoff()
-        self.state.results = result.raw
-
-        return "Research completed"
-
-    @listen(execute_research)
-    def summarize_results(self, _):
-        # Acessa os resultados armazenados
-        result_length = len(self.state.results)
-        return f"Research on {self.state.topic} completed with {result_length} characters of results."
+# código não traduzido
 ```

 ### Manipulando Saídas de Crews no Estado
@@ -580,21 +246,7 @@ class ResearchFlow(Flow[ResearchState]):
 Quando um crew finaliza, é possível processar sua saída e armazená-la no estado do flow:

 ```python
-@listen(execute_crew)
-def process_crew_results(self, _):
-    # Faz parsing dos resultados brutos (assumindo saída em JSON)
-    import json
-    try:
-        results_dict = json.loads(self.state.raw_results)
-        self.state.processed_results = {
-            "title": results_dict.get("title", ""),
-            "main_points": results_dict.get("main_points", []),
-            "conclusion": results_dict.get("conclusion", "")
-        }
-        return "Results processed successfully"
-    except json.JSONDecodeError:
-        self.state.error = "Failed to parse crew results as JSON"
-        return "Error processing results"
+# código não traduzido
 ```

 ## Boas Práticas para Gerenciamento de Estado
@@ -604,19 +256,7 @@ def process_crew_results(self, _):
 Projete seu estado para conter somente o necessário:

 ```python
-# Abrangente demais
-class BloatedState(BaseModel):
-    user_data: Dict = {}
-    system_settings: Dict = {}
-    temporary_calculations: List = []
-    debug_info: Dict = {}
-    # ...muitos outros campos
-
-# Melhor: estado focado
-class FocusedState(BaseModel):
-    user_id: str
-    preferences: Dict[str, str]
-    completion_status: Dict[str, bool]
+# Exemplo não traduzido
 ```

 ### 2. Use Estado Estruturado em Flows Complexos
@@ -624,23 +264,7 @@ class FocusedState(BaseModel):
 À medida que seus flows evoluem em complexidade, o estado estruturado se torna cada vez mais valioso:

 ```python
-# Flow simples pode usar estado não estruturado
-class SimpleGreetingFlow(Flow):
-    @start()
-    def greet(self):
-        self.state["name"] = "World"
-        return f"Hello, {self.state['name']}!"
-
-# Flow complexo se beneficia de estado estruturado
-class UserRegistrationState(BaseModel):
-    username: str
-    email: str
-    verification_status: bool = False
-    registration_date: datetime = Field(default_factory=datetime.now)
-    last_login: Optional[datetime] = None
-
-class RegistrationFlow(Flow[UserRegistrationState]):
-    # Métodos com acesso ao estado fortemente tipado
+# Exemplo não traduzido
 ```

 ### 3. Documente Transições de Estado
@@ -648,18 +272,7 @@ class RegistrationFlow(Flow[UserRegistrationState]):
 Para flows complexos, documente como o estado muda ao longo da execução:

 ```python
-@start()
-def initialize_order(self):
-    """
-    Initialize order state with empty values.
-
-    State before: {}
-    State after: {order_id: str, items: [], status: 'new'}
-    """
-    self.state.order_id = str(uuid.uuid4())
-    self.state.items = []
-    self.state.status = "new"
-    return "Order initialized"
+# Exemplo não traduzido
 ```

 ### 4. Trate Erros de Estado de Forma Elegante
@@ -667,18 +280,7 @@ def initialize_order(self):
 Implemente tratamento de erros ao acessar o estado:

 ```python
-@listen(previous_step)
-def process_data(self, _):
-    try:
-        # Tenta acessar um valor que pode não existir
-        user_preference = self.state.preferences.get("theme", "default")
-    except (AttributeError, KeyError):
-        # Trata o erro de forma elegante
-        self.state.errors = self.state.get("errors", [])
-        self.state.errors.append("Failed to access preferences")
-        user_preference = "default"
-
-    return f"Used preference: {user_preference}"
+# Exemplo não traduzido
 ```

 ### 5. Use o Estado Para Acompanhar o Progresso
@@ -686,30 +288,7 @@ def process_data(self, _):
 Aproveite o estado para monitorar o progresso em flows de longa duração:

 ```python
-class ProgressTrackingFlow(Flow):
-    @start()
-    def initialize(self):
-        self.state["total_steps"] = 3
-        self.state["current_step"] = 0
-        self.state["progress"] = 0.0
-        self.update_progress()
-        return "Initialized"
-
-    def update_progress(self):
-        """Helper method to calculate and update progress"""
-        if self.state.get("total_steps", 0) > 0:
-            self.state["progress"] = (self.state.get("current_step", 0) /
-                                    self.state["total_steps"]) * 100
-            print(f"Progress: {self.state['progress']:.1f}%")
-
-    @listen(initialize)
-    def step_one(self, _):
-        # Realiza o trabalho...
-        self.state["current_step"] = 1
-        self.update_progress()
-        return "Step 1 complete"
-
-    # Etapas adicionais...
+# Exemplo não traduzido
 ```

 ### 6. Prefira Operações Imutáveis Quando Possível
@@ -717,22 +296,7 @@ class ProgressTrackingFlow(Flow):
 Especialmente com estado estruturado, prefira operações imutáveis para maior clareza:

 ```python
-# Em vez de modificar listas no local:
-self.state.items.append(new_item)  # Operação mutável
-
-# Considere criar um novo estado:
-from pydantic import BaseModel
-from typing import List
-
-class ItemState(BaseModel):
-    items: List[str] = []
-
-class ImmutableFlow(Flow[ItemState]):
-    @start()
-    def add_item(self):
-        # Cria uma nova lista com o item adicionado
-        self.state.items = [*self.state.items, "new item"]
-        return "Item added"
+# Exemplo não traduzido
 ```

 ## Depurando o Estado do Flow
@@ -742,24 +306,7 @@ class ImmutableFlow(Flow[ItemState]):
 Ao desenvolver, adicione logs para acompanhar mudanças no estado:

 ```python
-import logging
-logging.basicConfig(level=logging.INFO)
-
-class LoggingFlow(Flow):
-    def log_state(self, step_name):
-        logging.info(f"State after {step_name}: {self.state}")
-
-    @start()
-    def initialize(self):
-        self.state["counter"] = 0
-        self.log_state("initialize")
-        return "Initialized"
-
-    @listen(initialize)
-    def increment(self, _):
-        self.state["counter"] += 1
-        self.log_state("increment")
-        return f"Incremented to {self.state['counter']}"
+# Exemplo não traduzido
 ```

 ### Visualizando o Estado
@@ -767,30 +314,7 @@ class LoggingFlow(Flow):
 Você pode adicionar métodos para visualizar seu estado durante o debug:

 ```python
-def visualize_state(self):
-    """Create a simple visualization of the current state"""
-    import json
-    from rich.console import Console
-    from rich.panel import Panel
-
-    console = Console()
-
-    if hasattr(self.state, "model_dump"):
-        # Pydantic v2
-        state_dict = self.state.model_dump()
-    elif hasattr(self.state, "dict"):
-        # Pydantic v1
-        state_dict = self.state.dict()
-    else:
-        # Estado não estruturado
-        state_dict = dict(self.state)
-
-    # Remove o id para uma saída mais limpa
-    if "id" in state_dict:
-        state_dict.pop("id")
-
-    state_json = json.dumps(state_dict, indent=2, default=str)
-    console.print(Panel(state_json, title="Current Flow State"))
+# Exemplo não traduzido
 ```

 ## Conclusão
--- a/docs/pt-BR/learn/llm-selection-guide.mdx
+++ b/docs/pt-BR/learn/llm-selection-guide.mdx
@@ -797,6 +797,7 @@ As tabelas abaixo mostram uma amostra dos modelos de maior destaque em cada cate
    Inicie com opções consagradas como **GPT-4.1**, **Claude 3.7 Sonnet** ou **Gemini 2.0 Flash**, que oferecem bom desempenho e ampla validação.
  </Step>

+{" "}
 <Step title="Identifique Demandas Especializadas">
  Descubra se sua crew possui requisitos específicos (código, raciocínio,
  velocidade) que justifiquem modelos como **Claude 4 Sonnet** para
@@ -804,6 +805,7 @@ As tabelas abaixo mostram uma amostra dos modelos de maior destaque em cada cate
  velocidade, considere Groq aliado à seleção do modelo.
 </Step>

+{" "}
 <Step title="Implemente Estratégia Multi-Modelo">
  Use modelos diferentes para agentes distintos conforme o papel. Modelos de
  alta capacidade para managers e tarefas complexas, eficientes para rotinas.
--- a/lib/cli/pyproject.toml
+++ b/lib/cli/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 ]
 requires-python = ">=3.10, <3.14"
 dependencies = [
-    "crewai-core==1.14.5",
+    "crewai-core==1.14.5a5",
    "click~=8.1.7",
    "pydantic>=2.11.9,<2.13",
    "pydantic-settings~=2.10.1",
--- a/lib/cli/src/crewai_cli/init.py
+++ b/lib/cli/src/crewai_cli/init.py
@@ -1 +1 @@
-__version__ = "1.14.5"
+__version__ = "1.14.5a5"
--- a/lib/cli/src/crewai_cli/deploy/main.py
+++ b/lib/cli/src/crewai_cli/deploy/main.py
@@ -1,6 +1,5 @@
 from typing import Any

-from crewai_core.plus_api import CreateCrewPayload
 from rich.console import Console

 from crewai_cli import git
@@ -162,7 +161,7 @@ class DeployCommand(BaseCommand, PlusAPIMixin):
        self,
        env_vars: dict[str, str],
        remote_repo_url: str,
-    ) -> CreateCrewPayload:
+    ) -> dict[str, Any]:
        """
        Create the payload for crew creation.

@@ -173,8 +172,6 @@ class DeployCommand(BaseCommand, PlusAPIMixin):
        Returns:
            Dict[str, Any]: The payload for crew creation.
        """
-        if not self.project_name:
-            raise ValueError("project_name is required to create a deployment payload")
        return {
            "deploy": {
                "name": self.project_name,
--- a/lib/cli/src/crewai_cli/git.py
+++ b/lib/cli/src/crewai_cli/git.py
@@ -1,4 +1,4 @@
-from functools import cached_property
+from functools import lru_cache
 import subprocess


@@ -9,7 +9,7 @@ class Repository:
        if not self.is_git_installed():
            raise ValueError("Git is not installed or not found in your PATH.")

-        if not self.is_git_repo:
+        if not self.is_git_repo():
            raise ValueError(f"{self.path} is not a Git repository.")

        self.fetch()
@@ -40,9 +40,13 @@ class Repository:
            encoding="utf-8",
        ).strip()

-    @cached_property  # noqa: B019
+    @lru_cache(maxsize=None)  # noqa: B019
    def is_git_repo(self) -> bool:
-        """Check if the current directory is a git repository."""
+        """Check if the current directory is a git repository.
+
+        Notes:
+          - TODO: This method is cached to avoid redundant checks, but using lru_cache on methods can lead to memory leaks
+        """
        try:
            subprocess.check_output(
                ["git", "rev-parse", "--is-inside-work-tree"],  # noqa: S607
--- a/lib/crewai-core/src/crewai_core/init.py
+++ b/lib/crewai-core/src/crewai_core/init.py
@@ -1 +1 @@
-__version__ = "1.14.5"
+__version__ = "1.14.5a5"
--- a/lib/crewai-core/src/crewai_core/plus_api.py
+++ b/lib/crewai-core/src/crewai_core/plus_api.py
@@ -3,161 +3,36 @@
 from __future__ import annotations

 import os
-from typing import Any, Final, Literal, TypedDict, cast
+from typing import Any
 from urllib.parse import urljoin

 import httpx
-from typing_extensions import NotRequired

 from crewai_core.constants import DEFAULT_CREWAI_ENTERPRISE_URL
 from crewai_core.settings import Settings
 from crewai_core.version import get_crewai_version


-HttpMethod = Literal["GET", "POST", "PATCH", "DELETE"]
-
-
-class AvailableExport(TypedDict):
-    name: str
-
-
-class EnvVarEntry(TypedDict):
-    name: str
-    description: str
-    required: bool
-    default: str | None
-
-
-class ToolMetadata(TypedDict):
-    name: str
-    module: str
-    humanized_name: str
-    description: str
-    run_params_schema: dict[str, Any]
-    init_params_schema: dict[str, Any]
-    env_vars: list[EnvVarEntry]
-
-
-class ToolsMetadataPayload(TypedDict):
-    package: str
-    tools: list[ToolMetadata] | None
-
-
-class PublishToolPayload(TypedDict):
-    handle: str
-    public: bool
-    version: str
-    file: str
-    description: str | None
-    available_exports: list[AvailableExport] | None
-    tools_metadata: ToolsMetadataPayload | None
-
-
-class CrewDeploymentSpec(TypedDict):
-    name: str
-    repo_clone_url: str
-    env: dict[str, str]
-
-
-class CreateCrewPayload(TypedDict):
-    deploy: CrewDeploymentSpec
-
-
-class _WithUserIdentifier(TypedDict):
-    user_identifier: NotRequired[str]
-
-
-class LoginPayload(_WithUserIdentifier):
-    pass
-
-
-class TraceExecutionContext(TypedDict):
-    crew_fingerprint: str | None
-    crew_name: str | None
-    flow_name: str | None
-    crewai_version: str
-    privacy_level: str
-
-
-class TraceExecutionMetadata(TypedDict):
-    expected_duration_estimate: int
-    agent_count: int
-    task_count: int
-    flow_method_count: int
-    execution_started_at: str
-
-
-class TraceBatchInitPayload(_WithUserIdentifier):
-    trace_id: str
-    execution_type: str
-    execution_context: TraceExecutionContext
-    execution_metadata: TraceExecutionMetadata
-    ephemeral_trace_id: NotRequired[str]
-
-
-class TraceBatchMetadata(TypedDict):
-    events_count: int
-    batch_sequence: int
-    is_final_batch: bool
-
-
-class TraceEventsPayload(TypedDict):
-    events: list[dict[str, Any]]
-    batch_metadata: TraceBatchMetadata
-
-
-class TraceFinalizePayload(TypedDict):
-    status: Literal["completed"]
-    duration_ms: float | None
-    final_event_count: int
-
-
-class TraceFailedPayload(TypedDict):
-    status: Literal["failed"]
-    failure_reason: str
-
-
-Headers = TypedDict(
-    "Headers",
-    {
-        "Content-Type": str,
-        "User-Agent": str,
-        "X-Crewai-Version": str,
-        "Authorization": NotRequired[str],
-        "X-Crewai-Organization-Id": NotRequired[str],
-    },
-)
-
-
-class RequestKwargs(TypedDict):
-    headers: dict[str, str]
-    json: NotRequired[Any]
-    params: NotRequired[dict[str, str]]
-    timeout: NotRequired[float]
-
-
 class PlusAPI:
    """Client for working with the CrewAI+ API."""

-    TOOLS_RESOURCE: Final = "/crewai_plus/api/v1/tools"
-    ORGANIZATIONS_RESOURCE: Final = "/crewai_plus/api/v1/me/organizations"
-    CREWS_RESOURCE: Final = "/crewai_plus/api/v1/crews"
-    AGENTS_RESOURCE: Final = "/crewai_plus/api/v1/agents"
-    TRACING_RESOURCE: Final = "/crewai_plus/api/v1/tracing"
-    EPHEMERAL_TRACING_RESOURCE: Final = "/crewai_plus/api/v1/tracing/ephemeral"
-    INTEGRATIONS_RESOURCE: Final = "/crewai_plus/api/v1/integrations"
+    TOOLS_RESOURCE = "/crewai_plus/api/v1/tools"
+    ORGANIZATIONS_RESOURCE = "/crewai_plus/api/v1/me/organizations"
+    CREWS_RESOURCE = "/crewai_plus/api/v1/crews"
+    AGENTS_RESOURCE = "/crewai_plus/api/v1/agents"
+    TRACING_RESOURCE = "/crewai_plus/api/v1/tracing"
+    EPHEMERAL_TRACING_RESOURCE = "/crewai_plus/api/v1/tracing/ephemeral"
+    INTEGRATIONS_RESOURCE = "/crewai_plus/api/v1/integrations"

    def __init__(self, api_key: str | None = None) -> None:
-        version = get_crewai_version()
        self.api_key = api_key
-        self.headers: Headers = {
+        self.headers = {
            "Content-Type": "application/json",
-            "User-Agent": f"CrewAI-CLI/{version}",
-            "X-Crewai-Version": version,
+            "User-Agent": f"CrewAI-CLI/{get_crewai_version()}",
+            "X-Crewai-Version": get_crewai_version(),
        }
        if api_key:
            self.headers["Authorization"] = f"Bearer {api_key}"
-
        settings = Settings()
        if settings.org_uuid:
            self.headers["X-Crewai-Organization-Id"] = settings.org_uuid
@@ -169,30 +44,17 @@ class PlusAPI:
        )

    def _make_request(
-        self,
-        method: HttpMethod,
-        endpoint: str,
-        *,
-        json: Any = None,
-        params: dict[str, str] | None = None,
-        timeout: float | None = None,
-        verify: bool = True,
+        self, method: str, endpoint: str, **kwargs: Any
    ) -> httpx.Response:
        url = urljoin(self.base_url, endpoint)
-        request_kwargs: RequestKwargs = {"headers": cast(dict[str, str], self.headers)}
-        if json is not None:
-            request_kwargs["json"] = json
-        if params is not None:
-            request_kwargs["params"] = params
-        if timeout is not None:
-            request_kwargs["timeout"] = timeout
+        verify = kwargs.pop("verify", True)
        with httpx.Client(trust_env=False, verify=verify) as client:
-            return client.request(method, url, **request_kwargs)
+            return client.request(method, url, headers=self.headers, **kwargs)

    def login_to_tool_repository(
        self, user_identifier: str | None = None
    ) -> httpx.Response:
-        payload: LoginPayload = {}
+        payload = {}
        if user_identifier:
            payload["user_identifier"] = user_identifier
        return self._make_request("POST", f"{self.TOOLS_RESOURCE}/login", json=payload)
@@ -203,7 +65,7 @@ class PlusAPI:
    async def get_agent(self, handle: str) -> httpx.Response:
        url = urljoin(self.base_url, f"{self.AGENTS_RESOURCE}/{handle}")
        async with httpx.AsyncClient() as client:
-            return await client.get(url, headers=cast(dict[str, str], self.headers))
+            return await client.get(url, headers=self.headers)

    def publish_tool(
        self,
@@ -212,10 +74,10 @@ class PlusAPI:
        version: str,
        description: str | None,
        encoded_file: str,
-        available_exports: list[AvailableExport] | None = None,
-        tools_metadata: list[ToolMetadata] | None = None,
+        available_exports: list[dict[str, Any]] | None = None,
+        tools_metadata: list[dict[str, Any]] | None = None,
    ) -> httpx.Response:
-        params: PublishToolPayload = {
+        params = {
            "handle": handle,
            "public": is_public,
            "version": version,
@@ -267,13 +129,13 @@ class PlusAPI:
    def list_crews(self) -> httpx.Response:
        return self._make_request("GET", self.CREWS_RESOURCE)

-    def create_crew(self, payload: CreateCrewPayload) -> httpx.Response:
+    def create_crew(self, payload: dict[str, Any]) -> httpx.Response:
        return self._make_request("POST", self.CREWS_RESOURCE, json=payload)

    def get_organizations(self) -> httpx.Response:
        return self._make_request("GET", self.ORGANIZATIONS_RESOURCE)

-    def initialize_trace_batch(self, payload: TraceBatchInitPayload) -> httpx.Response:
+    def initialize_trace_batch(self, payload: dict[str, Any]) -> httpx.Response:
        return self._make_request(
            "POST",
            f"{self.TRACING_RESOURCE}/batches",
@@ -282,7 +144,7 @@ class PlusAPI:
        )

    def initialize_ephemeral_trace_batch(
-        self, payload: TraceBatchInitPayload
+        self, payload: dict[str, Any]
    ) -> httpx.Response:
        return self._make_request(
            "POST",
@@ -291,7 +153,7 @@ class PlusAPI:
        )

    def send_trace_events(
-        self, trace_batch_id: str, payload: TraceEventsPayload
+        self, trace_batch_id: str, payload: dict[str, Any]
    ) -> httpx.Response:
        return self._make_request(
            "POST",
@@ -301,7 +163,7 @@ class PlusAPI:
        )

    def send_ephemeral_trace_events(
-        self, trace_batch_id: str, payload: TraceEventsPayload
+        self, trace_batch_id: str, payload: dict[str, Any]
    ) -> httpx.Response:
        return self._make_request(
            "POST",
@@ -311,7 +173,7 @@ class PlusAPI:
        )

    def finalize_trace_batch(
-        self, trace_batch_id: str, payload: TraceFinalizePayload
+        self, trace_batch_id: str, payload: dict[str, Any]
    ) -> httpx.Response:
        return self._make_request(
            "PATCH",
@@ -321,7 +183,7 @@ class PlusAPI:
        )

    def finalize_ephemeral_trace_batch(
-        self, trace_batch_id: str, payload: TraceFinalizePayload
+        self, trace_batch_id: str, payload: dict[str, Any]
    ) -> httpx.Response:
        return self._make_request(
            "PATCH",
@@ -333,28 +195,20 @@ class PlusAPI:
    def mark_trace_batch_as_failed(
        self, trace_batch_id: str, error_message: str
    ) -> httpx.Response:
-        payload: TraceFailedPayload = {
-            "status": "failed",
-            "failure_reason": error_message,
-        }
        return self._make_request(
            "PATCH",
            f"{self.TRACING_RESOURCE}/batches/{trace_batch_id}",
-            json=payload,
+            json={"status": "failed", "failure_reason": error_message},
            timeout=30,
        )

    def mark_ephemeral_trace_batch_as_failed(
        self, trace_batch_id: str, error_message: str
    ) -> httpx.Response:
-        payload: TraceFailedPayload = {
-            "status": "failed",
-            "failure_reason": error_message,
-        }
        return self._make_request(
            "PATCH",
            f"{self.EPHEMERAL_TRACING_RESOURCE}/batches/{trace_batch_id}",
-            json=payload,
+            json={"status": "failed", "failure_reason": error_message},
            timeout=30,
        )

--- 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__ = "1.14.5"
+__version__ = "1.14.5a5"
--- 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>=2.33.0,<3",
-    "crewai==1.14.5",
+    "crewai==1.14.5a5",
    "tiktoken>=0.8.0,<0.13",
    "beautifulsoup4~=4.13.4",
    "python-docx~=1.2.0",
@@ -142,6 +142,9 @@ contextual = [
 daytona = [
    "daytona~=0.140.0",
 ]
+opensandbox = [
+    "opensandbox>=0.1.8",
+]

 e2b = [
    "e2b~=2.20.0",
--- a/lib/crewai-tools/src/crewai_tools/init.py
+++ b/lib/crewai-tools/src/crewai_tools/init.py
@@ -119,6 +119,11 @@ from crewai_tools.tools.multion_tool.multion_tool import MultiOnTool
 from crewai_tools.tools.mysql_search_tool.mysql_search_tool import MySQLSearchTool
 from crewai_tools.tools.nl2sql.nl2sql_tool import NL2SQLTool
 from crewai_tools.tools.ocr_tool.ocr_tool import OCRTool
+from crewai_tools.tools.open_sandbox_tool import (
+    OpenSandboxBaseTool,
+    OpenSandboxExecTool,
+    OpenSandboxFileTool,
+)
 from crewai_tools.tools.oxylabs_amazon_product_scraper_tool.oxylabs_amazon_product_scraper_tool import (
    OxylabsAmazonProductScraperTool,
 )
@@ -282,6 +287,9 @@ __all__ = [
    "MySQLSearchTool",
    "NL2SQLTool",
    "OCRTool",
+    "OpenSandboxBaseTool",
+    "OpenSandboxExecTool",
+    "OpenSandboxFileTool",
    "OxylabsAmazonProductScraperTool",
    "OxylabsAmazonSearchScraperTool",
    "OxylabsGoogleSearchScraperTool",
@@ -330,4 +338,4 @@ __all__ = [
    "ZapierActionTools",
 ]

-__version__ = "1.14.5"
+__version__ = "1.14.5a5"
--- a/lib/crewai-tools/src/crewai_tools/tools/init.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/init.py
@@ -109,6 +109,11 @@ from crewai_tools.tools.multion_tool.multion_tool import MultiOnTool
 from crewai_tools.tools.mysql_search_tool.mysql_search_tool import MySQLSearchTool
 from crewai_tools.tools.nl2sql.nl2sql_tool import NL2SQLTool
 from crewai_tools.tools.ocr_tool.ocr_tool import OCRTool
+from crewai_tools.tools.open_sandbox_tool import (
+    OpenSandboxBaseTool,
+    OpenSandboxExecTool,
+    OpenSandboxFileTool,
+)
 from crewai_tools.tools.oxylabs_amazon_product_scraper_tool.oxylabs_amazon_product_scraper_tool import (
    OxylabsAmazonProductScraperTool,
 )
@@ -266,6 +271,9 @@ __all__ = [
    "MySQLSearchTool",
    "NL2SQLTool",
    "OCRTool",
+    "OpenSandboxBaseTool",
+    "OpenSandboxExecTool",
+    "OpenSandboxFileTool",
    "OxylabsAmazonProductScraperTool",
    "OxylabsAmazonSearchScraperTool",
    "OxylabsGoogleSearchScraperTool",
--- a/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/init.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/init.py
@@ -0,0 +1,16 @@
+from crewai_tools.tools.open_sandbox_tool.open_sandbox_base_tool import (
+    OpenSandboxBaseTool,
+)
+from crewai_tools.tools.open_sandbox_tool.open_sandbox_exec_tool import (
+    OpenSandboxExecTool,
+)
+from crewai_tools.tools.open_sandbox_tool.open_sandbox_file_tool import (
+    OpenSandboxFileTool,
+)
+
+
+__all__ = [
+    "OpenSandboxBaseTool",
+    "OpenSandboxExecTool",
+    "OpenSandboxFileTool",
+]
--- a/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/open_sandbox_base_tool.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/open_sandbox_base_tool.py
@@ -0,0 +1,229 @@
+from __future__ import annotations
+
+import atexit
+import logging
+import os
+import threading
+from typing import Any, ClassVar
+
+from crewai.tools import BaseTool, EnvVar
+from pydantic import ConfigDict, Field, PrivateAttr
+
+
+logger = logging.getLogger(__name__)
+
+
+class OpenSandboxBaseTool(BaseTool):
+    """Shared base for tools that act on an Open Sandbox sandbox.
+
+    Lifecycle modes:
+      - persistent=False (default): create a fresh sandbox per `_run` call and
+        kill it when the call returns. Safer and stateless — nothing leaks if
+        the agent forgets cleanup.
+      - persistent=True: lazily create a single sandbox on first use, cache it
+        on the instance, and register an atexit hook to kill it at process
+        exit. Cheaper across many calls and lets files/state carry over.
+      - sandbox_id=<existing>: attach to a sandbox the caller already owns.
+        Never killed by the tool.
+    """
+
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    package_dependencies: list[str] = Field(default_factory=lambda: ["opensandbox"])
+
+    api_key: str | None = Field(
+        default_factory=lambda: os.getenv("OPEN_SANDBOX_API_KEY"),
+        description="Open Sandbox API key. Falls back to OPEN_SANDBOX_API_KEY env var.",
+        json_schema_extra={"required": False},
+    )
+    domain: str | None = Field(
+        default_factory=lambda: os.getenv("OPEN_SANDBOX_DOMAIN"),
+        description=(
+            "Open Sandbox management API domain (e.g. 'api.opensandbox.io'). "
+            "Falls back to OPEN_SANDBOX_DOMAIN env var."
+        ),
+        json_schema_extra={"required": False},
+    )
+    protocol: str | None = Field(
+        default=None,
+        description="Protocol for the management API ('http' or 'https').",
+        json_schema_extra={"required": False},
+    )
+
+    persistent: bool = Field(
+        default=False,
+        description=(
+            "If True, reuse one sandbox across all calls to this tool instance "
+            "and kill it at process exit. Default False creates and kills a "
+            "fresh sandbox per call."
+        ),
+    )
+    sandbox_id: str | None = Field(
+        default=None,
+        description=(
+            "Attach to an existing sandbox by id instead of creating a new one. "
+            "The tool will never kill a sandbox it did not create."
+        ),
+    )
+    create_params: dict[str, Any] | None = Field(
+        default=None,
+        description=(
+            "Optional kwargs forwarded to SandboxSync.create when creating a "
+            "sandbox (e.g. image, env, resource, metadata, entrypoint)."
+        ),
+    )
+    sandbox_timeout: float = Field(
+        default=60.0,
+        description=(
+            "Timeout in seconds to wait for sandbox readiness on create/connect."
+        ),
+    )
+
+    env_vars: list[EnvVar] = Field(
+        default_factory=lambda: [
+            EnvVar(
+                name="OPEN_SANDBOX_API_KEY",
+                description="API key for Open Sandbox service",
+                required=False,
+            ),
+            EnvVar(
+                name="OPEN_SANDBOX_DOMAIN",
+                description="Open Sandbox management API domain (optional)",
+                required=False,
+            ),
+        ]
+    )
+
+    _client: Any | None = PrivateAttr(default=None)
+    _persistent_sandbox: Any | None = PrivateAttr(default=None)
+    _lock: threading.Lock = PrivateAttr(default_factory=threading.Lock)
+    _cleanup_registered: bool = PrivateAttr(default=False)
+
+    _sdk_cache: ClassVar[dict[str, Any]] = {}
+
+    @classmethod
+    def _import_sdk(cls) -> dict[str, Any]:
+        if cls._sdk_cache:
+            return cls._sdk_cache
+        try:
+            from opensandbox.config.connection_sync import ConnectionConfigSync
+            from opensandbox.models.execd import RunCommandOpts
+            from opensandbox.models.filesystem import SearchEntry, WriteEntry
+            from opensandbox.sync.sandbox import SandboxSync
+        except ImportError as exc:
+            raise ImportError(
+                "The 'opensandbox' package is required for Open Sandbox tools. "
+                "Install it with: uv add opensandbox  (or) pip install opensandbox"
+            ) from exc
+        cls._sdk_cache = {
+            "SandboxSync": SandboxSync,
+            "ConnectionConfigSync": ConnectionConfigSync,
+            "RunCommandOpts": RunCommandOpts,
+            "WriteEntry": WriteEntry,
+            "SearchEntry": SearchEntry,
+        }
+        return cls._sdk_cache
+
+    def _get_client(self) -> Any:
+        """Return a cached ConnectionConfigSync built from this tool's fields.
+
+        Open Sandbox has no separate "client" object — connection settings are
+        carried by ConnectionConfigSync and passed into SandboxSync.create /
+        SandboxSync.connect. We cache one config per tool instance.
+        """
+        if self._client is not None:
+            return self._client
+        sdk = self._import_sdk()
+        config_kwargs: dict[str, Any] = {}
+        if self.api_key:
+            config_kwargs["api_key"] = self.api_key
+        if self.domain:
+            config_kwargs["domain"] = self.domain
+        if self.protocol:
+            config_kwargs["protocol"] = self.protocol
+        self._client = sdk["ConnectionConfigSync"](**config_kwargs)
+        return self._client
+
+    def _build_create_kwargs(self) -> dict[str, Any]:
+        return dict(self.create_params) if self.create_params else {}
+
+    def _acquire_sandbox(self) -> tuple[Any, bool]:
+        """Return (sandbox, should_kill_after_use)."""
+        sdk = self._import_sdk()
+        config = self._get_client()
+
+        if self.sandbox_id:
+            sandbox = sdk["SandboxSync"].connect(
+                self.sandbox_id,
+                connection_config=config,
+                connect_timeout=_seconds_to_timedelta(self.sandbox_timeout),
+            )
+            return sandbox, False
+
+        if self.persistent:
+            with self._lock:
+                if self._persistent_sandbox is None:
+                    self._persistent_sandbox = sdk["SandboxSync"].create(
+                        connection_config=config,
+                        ready_timeout=_seconds_to_timedelta(self.sandbox_timeout),
+                        **self._build_create_kwargs(),
+                    )
+                    if not self._cleanup_registered:
+                        atexit.register(self.close)
+                        self._cleanup_registered = True
+                return self._persistent_sandbox, False
+
+        sandbox = sdk["SandboxSync"].create(
+            connection_config=config,
+            ready_timeout=_seconds_to_timedelta(self.sandbox_timeout),
+            **self._build_create_kwargs(),
+        )
+        return sandbox, True
+
+    def _release_sandbox(self, sandbox: Any, should_kill: bool) -> None:
+        if not should_kill:
+            return
+        try:
+            sandbox.kill()
+        except Exception:
+            logger.debug(
+                "Best-effort sandbox kill failed after ephemeral use; "
+                "the sandbox may need manual termination.",
+                exc_info=True,
+            )
+        try:
+            sandbox.close()
+        except Exception:
+            logger.debug(
+                "Best-effort sandbox local-resource close failed after ephemeral use.",
+                exc_info=True,
+            )
+
+    def close(self) -> None:
+        """Kill the cached persistent sandbox if one exists."""
+        with self._lock:
+            sandbox = self._persistent_sandbox
+            self._persistent_sandbox = None
+        if sandbox is None:
+            return
+        try:
+            sandbox.kill()
+        except Exception:
+            logger.debug(
+                "Best-effort persistent sandbox kill failed at close(); "
+                "the sandbox may need manual termination.",
+                exc_info=True,
+            )
+        try:
+            sandbox.close()
+        except Exception:
+            logger.debug(
+                "Best-effort persistent sandbox local-resource close failed at close().",
+                exc_info=True,
+            )
+
+
+def _seconds_to_timedelta(seconds: float) -> Any:
+    from datetime import timedelta
+
+    return timedelta(seconds=seconds)
--- a/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/open_sandbox_exec_tool.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/open_sandbox_exec_tool.py
@@ -0,0 +1,102 @@
+from __future__ import annotations
+
+from builtins import type as type_
+from datetime import timedelta
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+from crewai_tools.tools.open_sandbox_tool.open_sandbox_base_tool import (
+    OpenSandboxBaseTool,
+)
+
+
+class OpenSandboxExecToolSchema(BaseModel):
+    command: str = Field(..., description="Shell command to execute in the sandbox.")
+    cwd: str | None = Field(
+        default=None,
+        description="Working directory to run the command in. Defaults to the sandbox work dir.",
+    )
+    env: dict[str, str] | None = Field(
+        default=None,
+        description="Optional environment variables to set for this command.",
+    )
+    timeout: int | None = Field(
+        default=None,
+        description="Maximum seconds to wait for the command to finish.",
+    )
+
+
+class OpenSandboxExecTool(OpenSandboxBaseTool):
+    """Run a shell command inside an Open Sandbox sandbox."""
+
+    name: str = "Open Sandbox Exec"
+    description: str = (
+        "Execute a shell command inside an Open Sandbox sandbox and return the "
+        "exit code and combined output. Use this to run builds, package installs, "
+        "git operations, or any one-off shell command."
+    )
+    args_schema: type_[BaseModel] = OpenSandboxExecToolSchema
+
+    def _run(
+        self,
+        command: str,
+        cwd: str | None = None,
+        env: dict[str, str] | None = None,
+        timeout: int | None = None,
+    ) -> Any:
+        sdk = self._import_sdk()
+        sandbox, should_kill = self._acquire_sandbox()
+        try:
+            opts = self._build_run_opts(sdk, cwd=cwd, env=env, timeout=timeout)
+            execution = sandbox.commands.run(command, opts=opts)
+            return {
+                "exit_code": getattr(execution, "exit_code", None),
+                "result": getattr(execution, "text", None),
+                "artifacts": _collect_artifacts(execution),
+            }
+        finally:
+            self._release_sandbox(sandbox, should_kill)
+
+    @staticmethod
+    def _build_run_opts(
+        sdk: dict[str, Any],
+        *,
+        cwd: str | None,
+        env: dict[str, str] | None,
+        timeout: int | None,
+    ) -> Any | None:
+        if cwd is None and env is None and timeout is None:
+            return None
+        kwargs: dict[str, Any] = {}
+        if cwd is not None:
+            kwargs["working_directory"] = cwd
+        if env is not None:
+            kwargs["envs"] = env
+        if timeout is not None:
+            kwargs["timeout"] = timedelta(seconds=timeout)
+        return sdk["RunCommandOpts"](**kwargs)
+
+
+def _collect_artifacts(execution: Any) -> dict[str, Any] | None:
+    logs = getattr(execution, "logs", None)
+    stderr_msgs = getattr(logs, "stderr", None) if logs is not None else None
+    results = getattr(execution, "result", None)
+    error = getattr(execution, "error", None)
+    if not stderr_msgs and not results and error is None:
+        return None
+    return {
+        "stderr": [getattr(m, "text", str(m)) for m in stderr_msgs or []],
+        "results": [getattr(r, "text", None) for r in results or []],
+        "error": _serialize_error(error),
+    }
+
+
+def _serialize_error(error: Any) -> dict[str, Any] | None:
+    if error is None:
+        return None
+    return {
+        "name": getattr(error, "name", None),
+        "value": getattr(error, "value", None),
+        "traceback": getattr(error, "traceback", None),
+    }
--- a/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/open_sandbox_file_tool.py
+++ b/lib/crewai-tools/src/crewai_tools/tools/open_sandbox_tool/open_sandbox_file_tool.py
@@ -0,0 +1,228 @@
+from __future__ import annotations
+
+import base64
+from builtins import type as type_
+import logging
+import posixpath
+from typing import Any, Literal
+
+from pydantic import BaseModel, Field, model_validator
+
+from crewai_tools.tools.open_sandbox_tool.open_sandbox_base_tool import (
+    OpenSandboxBaseTool,
+)
+
+
+logger = logging.getLogger(__name__)
+
+
+FileAction = Literal["read", "write", "append", "list", "delete", "mkdir", "info"]
+
+
+class OpenSandboxFileToolSchema(BaseModel):
+    action: FileAction = Field(
+        ...,
+        description=(
+            "The filesystem action to perform: 'read' (returns file contents), "
+            "'write' (create or replace a file with content), 'append' (append "
+            "content to an existing file — use this for writing large files in "
+            "chunks to avoid hitting tool-call size limits), 'list' (lists a "
+            "directory), 'delete' (removes a file/dir), 'mkdir' (creates a "
+            "directory), 'info' (returns file metadata)."
+        ),
+    )
+    path: str = Field(..., description="Absolute path inside the sandbox.")
+    content: str | None = Field(
+        default=None,
+        description=(
+            "Content to write or append. If omitted for 'write', an empty file "
+            "is created. For files larger than a few KB, prefer one 'write' "
+            "with empty content followed by multiple 'append' calls of ~4KB "
+            "each to stay within tool-call payload limits."
+        ),
+    )
+    binary: bool = Field(
+        default=False,
+        description=(
+            "For 'write': treat content as base64 and upload raw bytes. "
+            "For 'read': return contents as base64 instead of decoded utf-8."
+        ),
+    )
+    recursive: bool = Field(
+        default=False,
+        description="For action='delete': remove a directory recursively.",
+    )
+    mode: int = Field(
+        default=755,
+        description="For action='mkdir': Unix file mode as an integer (default 755).",
+    )
+
+    @model_validator(mode="after")
+    def _validate_action_args(self) -> OpenSandboxFileToolSchema:
+        if self.action == "append" and self.content is None:
+            raise ValueError(
+                "action='append' requires 'content'. Pass the chunk to append "
+                "in the 'content' field."
+            )
+        return self
+
+
+class OpenSandboxFileTool(OpenSandboxBaseTool):
+    """Read, write, and manage files inside an Open Sandbox sandbox.
+
+    Notes:
+      - Most useful with `persistent=True` or an explicit `sandbox_id`. With the
+        default ephemeral mode, files disappear when this tool call finishes.
+    """
+
+    name: str = "Open Sandbox File"
+    description: str = (
+        "Perform filesystem operations inside an Open Sandbox sandbox: read a "
+        "file, write content to a path, append content to an existing file, "
+        "list a directory, delete a path, make a directory, or fetch file "
+        "metadata. For files larger than a few KB, create the file with "
+        "action='write' and empty content, then send the body via multiple "
+        "'append' calls of ~4KB each to stay within tool-call payload limits."
+    )
+    args_schema: type_[BaseModel] = OpenSandboxFileToolSchema
+
+    def _run(
+        self,
+        action: FileAction,
+        path: str,
+        content: str | None = None,
+        binary: bool = False,
+        recursive: bool = False,
+        mode: int = 755,
+    ) -> Any:
+        sandbox, should_kill = self._acquire_sandbox()
+        try:
+            if action == "read":
+                return self._read(sandbox, path, binary=binary)
+            if action == "write":
+                return self._write(sandbox, path, content or "", binary=binary)
+            if action == "append":
+                return self._append(sandbox, path, content or "", binary=binary)
+            if action == "list":
+                return self._list(sandbox, path)
+            if action == "delete":
+                return self._delete(sandbox, path, recursive=recursive)
+            if action == "mkdir":
+                return self._mkdir(sandbox, path, mode=mode)
+            if action == "info":
+                return self._info(sandbox, path)
+            raise ValueError(f"Unknown action: {action}")
+        finally:
+            self._release_sandbox(sandbox, should_kill)
+
+    def _read(self, sandbox: Any, path: str, *, binary: bool) -> dict[str, Any]:
+        if binary:
+            data: bytes = sandbox.files.read_bytes(path)
+            return {
+                "path": path,
+                "encoding": "base64",
+                "content": base64.b64encode(data).decode("ascii"),
+            }
+        try:
+            text: str = sandbox.files.read_file(path)
+            return {"path": path, "encoding": "utf-8", "content": text}
+        except UnicodeDecodeError:
+            data = sandbox.files.read_bytes(path)
+            return {
+                "path": path,
+                "encoding": "base64",
+                "content": base64.b64encode(data).decode("ascii"),
+                "note": "File was not valid utf-8; returned as base64.",
+            }
+
+    def _write(
+        self, sandbox: Any, path: str, content: str, *, binary: bool
+    ) -> dict[str, Any]:
+        payload = base64.b64decode(content) if binary else content.encode("utf-8")
+        self._ensure_parent_dir(sandbox, path)
+        sandbox.files.write_file(path, payload)
+        return {"status": "written", "path": path, "bytes": len(payload)}
+
+    def _append(
+        self, sandbox: Any, path: str, content: str, *, binary: bool
+    ) -> dict[str, Any]:
+        chunk = base64.b64decode(content) if binary else content.encode("utf-8")
+        self._ensure_parent_dir(sandbox, path)
+        try:
+            existing: bytes = sandbox.files.read_bytes(path)
+        except Exception:
+            existing = b""
+        payload = existing + chunk
+        sandbox.files.write_file(path, payload)
+        return {
+            "status": "appended",
+            "path": path,
+            "appended_bytes": len(chunk),
+            "total_bytes": len(payload),
+        }
+
+    def _ensure_parent_dir(self, sandbox: Any, path: str) -> None:
+        """Make sure the parent directory of `path` exists.
+
+        Best-effort mkdir of the parent; any error (e.g. already exists) is
+        swallowed because create_directories may not be idempotent.
+        """
+        parent = posixpath.dirname(path)
+        if not parent or parent in ("/", "."):
+            return
+        sdk = self._import_sdk()
+        try:
+            sandbox.files.create_directories([sdk["WriteEntry"](path=parent, mode=755)])
+        except Exception:
+            logger.debug(
+                "Best-effort parent-directory create failed for %s; "
+                "assuming it already exists and proceeding with the write.",
+                parent,
+                exc_info=True,
+            )
+
+    def _mkdir(self, sandbox: Any, path: str, *, mode: int) -> dict[str, Any]:
+        sdk = self._import_sdk()
+        sandbox.files.create_directories([sdk["WriteEntry"](path=path, mode=mode)])
+        return {"status": "created", "path": path, "mode": mode}
+
+    def _delete(self, sandbox: Any, path: str, *, recursive: bool) -> dict[str, Any]:
+        if recursive:
+            sandbox.files.delete_directories([path])
+        else:
+            sandbox.files.delete_files([path])
+        return {"status": "deleted", "path": path}
+
+    def _list(self, sandbox: Any, path: str) -> dict[str, Any]:
+        sdk = self._import_sdk()
+        entries = sandbox.files.search(sdk["SearchEntry"](path=path, pattern="*"))
+        return {
+            "path": path,
+            "entries": [self._entry_info_to_dict(entry) for entry in entries],
+        }
+
+    def _info(self, sandbox: Any, path: str) -> dict[str, Any]:
+        info_map = sandbox.files.get_file_info([path])
+        info = info_map.get(path) if hasattr(info_map, "get") else None
+        if info is None:
+            return {"path": path, "found": False}
+        return self._entry_info_to_dict(info)
+
+    @staticmethod
+    def _entry_info_to_dict(info: Any) -> dict[str, Any]:
+        fields = (
+            "path",
+            "mode",
+            "owner",
+            "group",
+            "size",
+            "modified_at",
+            "created_at",
+        )
+        out: dict[str, Any] = {}
+        for field in fields:
+            value = getattr(info, field, None)
+            if hasattr(value, "isoformat"):
+                value = value.isoformat()
+            out[field] = value
+        return out
--- a/lib/crewai-tools/tool.specs.json
+++ b/lib/crewai-tools/tool.specs.json
@@ -16318,6 +16318,565 @@
        "type": "object"
      }
    },
+    {
+      "description": "",
+      "env_vars": [
+        {
+          "default": null,
+          "description": "API key for Open Sandbox service",
+          "name": "OPEN_SANDBOX_API_KEY",
+          "required": false
+        },
+        {
+          "default": null,
+          "description": "Open Sandbox management API domain (optional)",
+          "name": "OPEN_SANDBOX_DOMAIN",
+          "required": false
+        }
+      ],
+      "humanized_name": "OpenSandboxBaseTool",
+      "init_params_schema": {
+        "$defs": {
+          "EnvVar": {
+            "properties": {
+              "default": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "title": "Default"
+              },
+              "description": {
+                "title": "Description",
+                "type": "string"
+              },
+              "name": {
+                "title": "Name",
+                "type": "string"
+              },
+              "required": {
+                "default": true,
+                "title": "Required",
+                "type": "boolean"
+              }
+            },
+            "required": [
+              "name",
+              "description"
+            ],
+            "title": "EnvVar",
+            "type": "object"
+          }
+        },
+        "description": "Shared base for tools that act on an Open Sandbox sandbox.\n\nLifecycle modes:\n  - persistent=False (default): create a fresh sandbox per `_run` call and\n    kill it when the call returns. Safer and stateless \u2014 nothing leaks if\n    the agent forgets cleanup.\n  - persistent=True: lazily create a single sandbox on first use, cache it\n    on the instance, and register an atexit hook to kill it at process\n    exit. Cheaper across many calls and lets files/state carry over.\n  - sandbox_id=<existing>: attach to a sandbox the caller already owns.\n    Never killed by the tool.",
+        "properties": {
+          "api_key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "description": "Open Sandbox API key. Falls back to OPEN_SANDBOX_API_KEY env var.",
+            "required": false,
+            "title": "Api Key"
+          },
+          "create_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Optional kwargs forwarded to SandboxSync.create when creating a sandbox (e.g. image, env, resource, metadata, entrypoint).",
+            "title": "Create Params"
+          },
+          "domain": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "description": "Open Sandbox management API domain (e.g. 'api.opensandbox.io'). Falls back to OPEN_SANDBOX_DOMAIN env var.",
+            "required": false,
+            "title": "Domain"
+          },
+          "persistent": {
+            "default": false,
+            "description": "If True, reuse one sandbox across all calls to this tool instance and kill it at process exit. Default False creates and kills a fresh sandbox per call.",
+            "title": "Persistent",
+            "type": "boolean"
+          },
+          "protocol": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Protocol for the management API ('http' or 'https').",
+            "required": false,
+            "title": "Protocol"
+          },
+          "sandbox_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Attach to an existing sandbox by id instead of creating a new one. The tool will never kill a sandbox it did not create.",
+            "title": "Sandbox Id"
+          },
+          "sandbox_timeout": {
+            "default": 60.0,
+            "description": "Timeout in seconds to wait for sandbox readiness on create/connect.",
+            "title": "Sandbox Timeout",
+            "type": "number"
+          }
+        },
+        "required": [],
+        "title": "OpenSandboxBaseTool",
+        "type": "object"
+      },
+      "name": "OpenSandboxBaseTool",
+      "package_dependencies": [
+        "opensandbox"
+      ],
+      "run_params_schema": {
+        "properties": {},
+        "title": "_ArgsSchemaPlaceholder",
+        "type": "object"
+      }
+    },
+    {
+      "description": "Execute a shell command inside an Open Sandbox sandbox and return the exit code and combined output. Use this to run builds, package installs, git operations, or any one-off shell command.",
+      "env_vars": [
+        {
+          "default": null,
+          "description": "API key for Open Sandbox service",
+          "name": "OPEN_SANDBOX_API_KEY",
+          "required": false
+        },
+        {
+          "default": null,
+          "description": "Open Sandbox management API domain (optional)",
+          "name": "OPEN_SANDBOX_DOMAIN",
+          "required": false
+        }
+      ],
+      "humanized_name": "Open Sandbox Exec",
+      "init_params_schema": {
+        "$defs": {
+          "EnvVar": {
+            "properties": {
+              "default": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "title": "Default"
+              },
+              "description": {
+                "title": "Description",
+                "type": "string"
+              },
+              "name": {
+                "title": "Name",
+                "type": "string"
+              },
+              "required": {
+                "default": true,
+                "title": "Required",
+                "type": "boolean"
+              }
+            },
+            "required": [
+              "name",
+              "description"
+            ],
+            "title": "EnvVar",
+            "type": "object"
+          }
+        },
+        "description": "Run a shell command inside an Open Sandbox sandbox.",
+        "properties": {
+          "api_key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "description": "Open Sandbox API key. Falls back to OPEN_SANDBOX_API_KEY env var.",
+            "required": false,
+            "title": "Api Key"
+          },
+          "create_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Optional kwargs forwarded to SandboxSync.create when creating a sandbox (e.g. image, env, resource, metadata, entrypoint).",
+            "title": "Create Params"
+          },
+          "domain": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "description": "Open Sandbox management API domain (e.g. 'api.opensandbox.io'). Falls back to OPEN_SANDBOX_DOMAIN env var.",
+            "required": false,
+            "title": "Domain"
+          },
+          "persistent": {
+            "default": false,
+            "description": "If True, reuse one sandbox across all calls to this tool instance and kill it at process exit. Default False creates and kills a fresh sandbox per call.",
+            "title": "Persistent",
+            "type": "boolean"
+          },
+          "protocol": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Protocol for the management API ('http' or 'https').",
+            "required": false,
+            "title": "Protocol"
+          },
+          "sandbox_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Attach to an existing sandbox by id instead of creating a new one. The tool will never kill a sandbox it did not create.",
+            "title": "Sandbox Id"
+          },
+          "sandbox_timeout": {
+            "default": 60.0,
+            "description": "Timeout in seconds to wait for sandbox readiness on create/connect.",
+            "title": "Sandbox Timeout",
+            "type": "number"
+          }
+        },
+        "required": [],
+        "title": "OpenSandboxExecTool",
+        "type": "object"
+      },
+      "name": "OpenSandboxExecTool",
+      "package_dependencies": [
+        "opensandbox"
+      ],
+      "run_params_schema": {
+        "properties": {
+          "command": {
+            "description": "Shell command to execute in the sandbox.",
+            "title": "Command",
+            "type": "string"
+          },
+          "cwd": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Working directory to run the command in. Defaults to the sandbox work dir.",
+            "title": "Cwd"
+          },
+          "env": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "type": "string"
+                },
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Optional environment variables to set for this command.",
+            "title": "Env"
+          },
+          "timeout": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Maximum seconds to wait for the command to finish.",
+            "title": "Timeout"
+          }
+        },
+        "required": [
+          "command"
+        ],
+        "title": "OpenSandboxExecToolSchema",
+        "type": "object"
+      }
+    },
+    {
+      "description": "Perform filesystem operations inside an Open Sandbox sandbox: read a file, write content to a path, append content to an existing file, list a directory, delete a path, make a directory, or fetch file metadata. For files larger than a few KB, create the file with action='write' and empty content, then send the body via multiple 'append' calls of ~4KB each to stay within tool-call payload limits.",
+      "env_vars": [
+        {
+          "default": null,
+          "description": "API key for Open Sandbox service",
+          "name": "OPEN_SANDBOX_API_KEY",
+          "required": false
+        },
+        {
+          "default": null,
+          "description": "Open Sandbox management API domain (optional)",
+          "name": "OPEN_SANDBOX_DOMAIN",
+          "required": false
+        }
+      ],
+      "humanized_name": "Open Sandbox File",
+      "init_params_schema": {
+        "$defs": {
+          "EnvVar": {
+            "properties": {
+              "default": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "type": "null"
+                  }
+                ],
+                "default": null,
+                "title": "Default"
+              },
+              "description": {
+                "title": "Description",
+                "type": "string"
+              },
+              "name": {
+                "title": "Name",
+                "type": "string"
+              },
+              "required": {
+                "default": true,
+                "title": "Required",
+                "type": "boolean"
+              }
+            },
+            "required": [
+              "name",
+              "description"
+            ],
+            "title": "EnvVar",
+            "type": "object"
+          }
+        },
+        "description": "Read, write, and manage files inside an Open Sandbox sandbox.\n\nNotes:\n  - Most useful with `persistent=True` or an explicit `sandbox_id`. With the\n    default ephemeral mode, files disappear when this tool call finishes.",
+        "properties": {
+          "api_key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "description": "Open Sandbox API key. Falls back to OPEN_SANDBOX_API_KEY env var.",
+            "required": false,
+            "title": "Api Key"
+          },
+          "create_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Optional kwargs forwarded to SandboxSync.create when creating a sandbox (e.g. image, env, resource, metadata, entrypoint).",
+            "title": "Create Params"
+          },
+          "domain": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "description": "Open Sandbox management API domain (e.g. 'api.opensandbox.io'). Falls back to OPEN_SANDBOX_DOMAIN env var.",
+            "required": false,
+            "title": "Domain"
+          },
+          "persistent": {
+            "default": false,
+            "description": "If True, reuse one sandbox across all calls to this tool instance and kill it at process exit. Default False creates and kills a fresh sandbox per call.",
+            "title": "Persistent",
+            "type": "boolean"
+          },
+          "protocol": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Protocol for the management API ('http' or 'https').",
+            "required": false,
+            "title": "Protocol"
+          },
+          "sandbox_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Attach to an existing sandbox by id instead of creating a new one. The tool will never kill a sandbox it did not create.",
+            "title": "Sandbox Id"
+          },
+          "sandbox_timeout": {
+            "default": 60.0,
+            "description": "Timeout in seconds to wait for sandbox readiness on create/connect.",
+            "title": "Sandbox Timeout",
+            "type": "number"
+          }
+        },
+        "required": [],
+        "title": "OpenSandboxFileTool",
+        "type": "object"
+      },
+      "name": "OpenSandboxFileTool",
+      "package_dependencies": [
+        "opensandbox"
+      ],
+      "run_params_schema": {
+        "properties": {
+          "action": {
+            "description": "The filesystem action to perform: 'read' (returns file contents), 'write' (create or replace a file with content), 'append' (append content to an existing file \u2014 use this for writing large files in chunks to avoid hitting tool-call size limits), 'list' (lists a directory), 'delete' (removes a file/dir), 'mkdir' (creates a directory), 'info' (returns file metadata).",
+            "enum": [
+              "read",
+              "write",
+              "append",
+              "list",
+              "delete",
+              "mkdir",
+              "info"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "binary": {
+            "default": false,
+            "description": "For 'write': treat content as base64 and upload raw bytes. For 'read': return contents as base64 instead of decoded utf-8.",
+            "title": "Binary",
+            "type": "boolean"
+          },
+          "content": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "description": "Content to write or append. If omitted for 'write', an empty file is created. For files larger than a few KB, prefer one 'write' with empty content followed by multiple 'append' calls of ~4KB each to stay within tool-call payload limits.",
+            "title": "Content"
+          },
+          "mode": {
+            "default": 755,
+            "description": "For action='mkdir': Unix file mode as an integer (default 755).",
+            "title": "Mode",
+            "type": "integer"
+          },
+          "path": {
+            "description": "Absolute path inside the sandbox.",
+            "title": "Path",
+            "type": "string"
+          },
+          "recursive": {
+            "default": false,
+            "description": "For action='delete': remove a directory recursively.",
+            "title": "Recursive",
+            "type": "boolean"
+          }
+        },
+        "required": [
+          "action",
+          "path"
+        ],
+        "title": "OpenSandboxFileToolSchema",
+        "type": "object"
+      }
+    },
    {
      "description": "Scrape Amazon product pages with Oxylabs Amazon Product Scraper",
      "env_vars": [
--- a/lib/crewai/pyproject.toml
+++ b/lib/crewai/pyproject.toml
@@ -8,8 +8,8 @@ authors = [
 ]
 requires-python = ">=3.10, <3.14"
 dependencies = [
-    "crewai-core==1.14.5",
-    "crewai-cli==1.14.5",
+    "crewai-core==1.14.5a5",
+    "crewai-cli==1.14.5a5",
    # Core Dependencies
    "pydantic>=2.11.9,<2.13",
    "openai>=2.30.0,<3",
@@ -54,7 +54,7 @@ Repository = "https://github.com/crewAIInc/crewAI"

 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.14.5",
+    "crewai-tools==1.14.5a5",
 ]
 embeddings = [
    "tiktoken>=0.8.0,<0.13"
@@ -105,7 +105,7 @@ a2a = [
     "aiocache[redis,memcached]~=0.12.3",
 ]
 file-processing = [
-    "crewai-files",
+    "crewai-files==1.14.5a5",
 ]
 qdrant-edge = [
    "qdrant-edge-py>=0.6.0",
--- a/lib/crewai/src/crewai/init.py
+++ b/lib/crewai/src/crewai/init.py
@@ -48,7 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:

 _suppress_pydantic_deprecation_warnings()

-__version__ = "1.14.5"
+__version__ = "1.14.5a5"

 _LAZY_IMPORTS: dict[str, tuple[str, str]] = {
    "Memory": ("crewai.memory.unified_memory", "Memory"),
--- a/lib/crewai/src/crewai/agent/core.py
+++ b/lib/crewai/src/crewai/agent/core.py
@@ -220,11 +220,7 @@ class Agent(BaseAgent):
        str | BaseLLM | None,
        BeforeValidator(_validate_llm_ref),
        PlainSerializer(_serialize_llm_ref, return_type=dict | None, when_used="json"),
-    ] = Field(
-        description="Language model that will run the agent.",
-        default=None,
-        deprecated="function_calling_llm is deprecated and will be removed in a future release.",
-    )
+    ] = Field(description="Language model that will run the agent.", default=None)
    system_template: str | None = Field(
        default=None, description="System format for the agent."
    )
--- a/lib/crewai/src/crewai/agents/agent_adapters/langgraph/langgraph_adapter.py
+++ b/lib/crewai/src/crewai/agents/agent_adapters/langgraph/langgraph_adapter.py
@@ -51,10 +51,7 @@ class LangGraphAgentAdapter(BaseAgentAdapter):
    _graph: Any = PrivateAttr(default=None)
    _memory: Any = PrivateAttr(default=None)
    _max_iterations: int = PrivateAttr(default=10)
-    function_calling_llm: Any = Field(
-        default=None,
-        deprecated="function_calling_llm is deprecated and will be removed in a future release.",
-    )
+    function_calling_llm: Any = Field(default=None)
    step_callback: SerializableCallable | None = Field(default=None)

    model: str = Field(default="gpt-4o")
--- 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
@@ -60,10 +60,7 @@ class OpenAIAgentAdapter(BaseAgentAdapter):
    _openai_agent: OpenAIAgentProtocol = PrivateAttr()
    _logger: Logger = PrivateAttr(default_factory=Logger)
    _active_thread: str | None = PrivateAttr(default=None)
-    function_calling_llm: Any = Field(
-        default=None,
-        deprecated="function_calling_llm is deprecated and will be removed in a future release.",
-    )
+    function_calling_llm: Any = Field(default=None)
    step_callback: Any = Field(default=None)
    _tool_adapter: OpenAIAgentToolAdapter = PrivateAttr()
    _converter_adapter: OpenAIConverterAdapter = PrivateAttr()
--- a/lib/crewai/src/crewai/crew.py
+++ b/lib/crewai/src/crewai/crew.py
@@ -251,11 +251,7 @@ class Crew(FlowTrackable, BaseModel):
        str | LLM | None,
        BeforeValidator(_validate_llm_ref),
        PlainSerializer(_serialize_llm_ref, return_type=dict | None, when_used="json"),
-    ] = Field(
-        description="Language model that will run the agent.",
-        default=None,
-        deprecated="function_calling_llm is deprecated and will be removed in a future release.",
-    )
+    ] = Field(description="Language model that will run the agent.", default=None)
    config: Json[dict[str, Any]] | dict[str, Any] | None = Field(default=None)
    id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True)
    share_crew: bool | None = Field(default=False)
--- a/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py
+++ b/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py
@@ -6,14 +6,6 @@ import time
 from typing import Any
 import uuid

-from crewai_core.plus_api import (
-    TraceBatchInitPayload,
-    TraceBatchMetadata,
-    TraceEventsPayload,
-    TraceExecutionContext,
-    TraceExecutionMetadata,
-    TraceFinalizePayload,
-)
 from crewai_core.settings import Settings
 from rich.console import Console
 from rich.panel import Panel
@@ -131,27 +123,25 @@ class TraceBatchManager:
            return None

        try:
-            execution_context: TraceExecutionContext = {
-                "crew_fingerprint": execution_metadata.get("crew_fingerprint"),
-                "crew_name": execution_metadata.get("crew_name", None),
-                "flow_name": execution_metadata.get("flow_name", None),
-                "crewai_version": self.current_batch.version,
-                "privacy_level": user_context.get("privacy_level", "standard"),
-            }
-            execution_metadata_payload: TraceExecutionMetadata = {
-                "expected_duration_estimate": execution_metadata.get(
-                    "expected_duration_estimate", 300
-                ),
-                "agent_count": execution_metadata.get("agent_count", 0),
-                "task_count": execution_metadata.get("task_count", 0),
-                "flow_method_count": execution_metadata.get("flow_method_count", 0),
-                "execution_started_at": datetime.now(timezone.utc).isoformat(),
-            }
-            payload: TraceBatchInitPayload = {
+            payload = {
                "trace_id": self.current_batch.batch_id,
                "execution_type": execution_metadata.get("execution_type", "crew"),
-                "execution_context": execution_context,
-                "execution_metadata": execution_metadata_payload,
+                "execution_context": {
+                    "crew_fingerprint": execution_metadata.get("crew_fingerprint"),
+                    "crew_name": execution_metadata.get("crew_name", None),
+                    "flow_name": execution_metadata.get("flow_name", None),
+                    "crewai_version": self.current_batch.version,
+                    "privacy_level": user_context.get("privacy_level", "standard"),
+                },
+                "execution_metadata": {
+                    "expected_duration_estimate": execution_metadata.get(
+                        "expected_duration_estimate", 300
+                    ),
+                    "agent_count": execution_metadata.get("agent_count", 0),
+                    "task_count": execution_metadata.get("task_count", 0),
+                    "flow_method_count": execution_metadata.get("flow_method_count", 0),
+                    "execution_started_at": datetime.now(timezone.utc).isoformat(),
+                },
            }
            if use_ephemeral:
                payload["ephemeral_trace_id"] = self.current_batch.batch_id
@@ -274,14 +264,13 @@ class TraceBatchManager:
        if not self.plus_api or not self.trace_batch_id or not self.event_buffer:
            return 500
        try:
-            batch_metadata: TraceBatchMetadata = {
-                "events_count": len(self.event_buffer),
-                "batch_sequence": 1,
-                "is_final_batch": False,
-            }
-            payload: TraceEventsPayload = {
+            payload = {
                "events": [event.to_dict() for event in self.event_buffer],
-                "batch_metadata": batch_metadata,
+                "batch_metadata": {
+                    "events_count": len(self.event_buffer),
+                    "batch_sequence": 1,
+                    "is_final_batch": False,
+                },
            }

            response = (
@@ -375,7 +364,7 @@ class TraceBatchManager:
            return

        try:
-            payload: TraceFinalizePayload = {
+            payload = {
                "status": "completed",
                "duration_ms": self.calculate_duration("execution"),
                "final_event_count": events_count,
--- a/lib/crewai/src/crewai/flow/flow.py
+++ b/lib/crewai/src/crewai/flow/flow.py
@@ -2633,7 +2633,6 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
            the event_id of the MethodExecutionFinishedEvent, or None if events
            are suppressed.
        """
-        logger.info("Executing flow method: %s", method_name)
        try:
            dumped_params = {f"_{i}": arg for i, arg in enumerate(args)} | (
                kwargs or {}
--- a/lib/crewai/src/crewai/llm.py
+++ b/lib/crewai/src/crewai/llm.py
@@ -940,21 +940,6 @@ class LLM(BaseLLM):
                self._track_token_usage_internal(usage_info)
            self._handle_streaming_callbacks(callbacks, usage_info, last_chunk)

-            if accumulated_tool_args and not available_functions:
-                tool_calls_list: list[ChatCompletionDeltaToolCall] = [
-                    ChatCompletionDeltaToolCall(
-                        index=idx,
-                        function=Function(
-                            name=tool_arg.function.name,
-                            arguments=tool_arg.function.arguments,
-                        ),
-                    )
-                    for idx, tool_arg in sorted(accumulated_tool_args.items())
-                    if tool_arg.function.name
-                ]
-                if tool_calls_list:
-                    return tool_calls_list
-
            if not tool_calls or not available_functions:
                if response_model and self.is_litellm:
                    instructor_instance = InternalInstructor(
@@ -1550,7 +1535,8 @@ class LLM(BaseLLM):
            if usage_info:
                self._track_token_usage_internal(usage_info)

-            if accumulated_tool_args:
+            if accumulated_tool_args and available_functions:
+                # Convert accumulated tool args to ChatCompletionDeltaToolCall objects
                tool_calls_list: list[ChatCompletionDeltaToolCall] = [
                    ChatCompletionDeltaToolCall(
                        index=idx,
@@ -1559,24 +1545,21 @@ class LLM(BaseLLM):
                            arguments=tool_arg.function.arguments,
                        ),
                    )
-                    for idx, tool_arg in sorted(accumulated_tool_args.items())
+                    for idx, tool_arg in accumulated_tool_args.items()
                    if tool_arg.function.name
                ]

                if tool_calls_list:
-                    if available_functions:
-                        result = self._handle_streaming_tool_calls(
-                            tool_calls=tool_calls_list,
-                            accumulated_tool_args=accumulated_tool_args,
-                            available_functions=available_functions,
-                            from_task=from_task,
-                            from_agent=from_agent,
-                            response_id=response_id,
-                        )
-                        if result is not None:
-                            return result
-                    else:
-                        return tool_calls_list
+                    result = self._handle_streaming_tool_calls(
+                        tool_calls=tool_calls_list,
+                        accumulated_tool_args=accumulated_tool_args,
+                        available_functions=available_functions,
+                        from_task=from_task,
+                        from_agent=from_agent,
+                        response_id=response_id,
+                    )
+                    if result is not None:
+                        return result

            usage_dict = self._usage_to_dict(usage_info)
            self._handle_emit_call_events(
--- a/lib/crewai/src/crewai/utilities/project_utils.py
+++ b/lib/crewai/src/crewai/utilities/project_utils.py
@@ -13,7 +13,6 @@ import sys
 import types
 from typing import Any, cast, get_type_hints

-from crewai_core.plus_api import AvailableExport, EnvVarEntry, ToolMetadata
 from crewai_core.project import (
    get_project_description as get_project_description,
    get_project_name as get_project_name,
@@ -280,7 +279,7 @@ def is_valid_tool(obj: Any) -> bool:
    return isinstance(obj, Tool)


-def extract_available_exports(dir_path: str = "src") -> list[AvailableExport]:
+def extract_available_exports(dir_path: str = "src") -> list[dict[str, Any]]:
    """Extract available tool classes from the project's __init__.py files.

    Only includes classes that inherit from BaseTool or functions decorated with @tool.
@@ -339,7 +338,7 @@ def _load_module_from_file(
        sys.modules.pop(module_name, None)


-def _load_tools_from_init(init_file: Path) -> list[AvailableExport]:
+def _load_tools_from_init(init_file: Path) -> list[dict[str, Any]]:
    """Load and validate tools from a given __init__.py file."""
    try:
        with _load_module_from_file(init_file) as module:
@@ -393,7 +392,7 @@ def _print_no_tools_warning() -> None:
    )


-def extract_tools_metadata(dir_path: str = "src") -> list[ToolMetadata]:
+def extract_tools_metadata(dir_path: str = "src") -> list[dict[str, Any]]:
    """
    Extract rich metadata from tool classes in the project.

@@ -405,7 +404,7 @@ def extract_tools_metadata(dir_path: str = "src") -> list[ToolMetadata]:
    - init_params_schema: JSON Schema for __init__ params (filtered)
    - env_vars: List of environment variable dicts
    """
-    tools_metadata: list[ToolMetadata] = []
+    tools_metadata: list[dict[str, Any]] = []

    for init_file in Path(dir_path).glob("**/__init__.py"):
        tools = _extract_tool_metadata_from_init(init_file)
@@ -414,7 +413,7 @@ def extract_tools_metadata(dir_path: str = "src") -> list[ToolMetadata]:
    return tools_metadata


-def _extract_tool_metadata_from_init(init_file: Path) -> list[ToolMetadata]:
+def _extract_tool_metadata_from_init(init_file: Path) -> list[dict[str, Any]]:
    """
    Load module from init file and extract metadata from valid tool classes.
    """
@@ -429,7 +428,7 @@ def _extract_tool_metadata_from_init(init_file: Path) -> list[ToolMetadata]:
            if not exported_names:
                return []

-            tools_metadata: list[ToolMetadata] = []
+            tools_metadata = []
            for name in exported_names:
                obj = getattr(module, name, None)
                if obj is None or not (
@@ -447,7 +446,7 @@ def _extract_tool_metadata_from_init(init_file: Path) -> list[ToolMetadata]:
        return []


-def _extract_single_tool_metadata(tool_class: type) -> ToolMetadata | None:
+def _extract_single_tool_metadata(tool_class: type) -> dict[str, Any] | None:
    """
    Extract metadata from a single tool class.
    """
@@ -471,17 +470,19 @@ def _extract_single_tool_metadata(tool_class: type) -> ToolMetadata | None:
        except (TypeError, ValueError):
            module = tool_class.__module__

-        return ToolMetadata(
-            name=tool_class.__name__,
-            module=module,
-            humanized_name=str(
-                _extract_field_default(fields.get("name"), fallback=tool_class.__name__)
+        return {
+            "name": tool_class.__name__,
+            "module": module,
+            "humanized_name": _extract_field_default(
+                fields.get("name"), fallback=tool_class.__name__
            ),
-            description=str(_extract_field_default(fields.get("description"))).strip(),
-            run_params_schema=_extract_run_params_schema(fields.get("args_schema")),
-            init_params_schema=_extract_init_params_schema(tool_class),
-            env_vars=_extract_env_vars(fields.get("env_vars")),
-        )
+            "description": str(
+                _extract_field_default(fields.get("description"))
+            ).strip(),
+            "run_params_schema": _extract_run_params_schema(fields.get("args_schema")),
+            "init_params_schema": _extract_init_params_schema(tool_class),
+            "env_vars": _extract_env_vars(fields.get("env_vars")),
+        }

    except Exception:
        return None
@@ -596,7 +597,7 @@ def _extract_init_params_schema(tool_class: type) -> dict[str, Any]:
        return {}


-def _extract_env_vars(env_vars_field: dict[str, Any] | None) -> list[EnvVarEntry]:
+def _extract_env_vars(env_vars_field: dict[str, Any] | None) -> list[dict[str, Any]]:
    """
    Extract environment variable definitions from env_vars field.
    """
--- a/lib/crewai/tests/test_llm.py
+++ b/lib/crewai/tests/test_llm.py
@@ -624,15 +624,12 @@ def test_handle_streaming_tool_calls_no_available_functions(
        ],
        tools=[get_weather_tool_schema],
    )
-    assert isinstance(response, list)
-    assert len(response) == 1
-    assert response[0].function.name == "get_weather"
-    assert response[0].function.arguments == '{"location":"New York, NY"}'
+    assert response == ""

    assert_event_count(
        mock_emit=mock_emit,
        expected_stream_chunk=9,
-        expected_completed_llm_call=0,
+        expected_completed_llm_call=1,
        expected_final_chunk_result='{"location":"New York, NY"}',
    )

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

-__version__ = "1.14.5"
+__version__ = "1.14.5a5"
--- a/lib/devtools/src/crewai_devtools/cli.py
+++ b/lib/devtools/src/crewai_devtools/cli.py
@@ -3,7 +3,6 @@
 from collections.abc import Mapping
 import os
 from pathlib import Path
-import re
 import subprocess
 import sys
 import tempfile
@@ -356,19 +355,8 @@ def update_pyproject_dependencies(

    workspace_packages = _DEFAULT_WORKSPACE_PACKAGES + (extra_packages or [])

-    current_extra: str | None = None
-    extra_header = re.compile(r"^\s*([A-Za-z0-9_-]+)\s*=\s*\[")
-
    for i, line in enumerate(lines):
-        match = extra_header.match(line)
-        if match:
-            current_extra = match.group(1)
-        elif line.strip().startswith("]"):
-            current_extra = None
-
        for pkg in workspace_packages:
-            if pkg == "crewai-files" and current_extra == "file-processing":
-                continue
            if f"{pkg}==" in line:
                stripped = line.lstrip()
                indent = line[: len(line) - len(stripped)]
@@ -744,23 +732,18 @@ def _is_prerelease(version: str) -> bool:
    return any(indicator in v for indicator in _PRERELEASE_INDICATORS)


-def get_commits_from_last_tag(
-    tag_name: str, version: str, cwd: Path | None = None
-) -> tuple[str, str]:
+def get_commits_from_last_tag(tag_name: str, version: str) -> tuple[str, str]:
    """Get commits from the last tag, excluding current version.

    Args:
        tag_name: Current tag name (e.g., "v1.0.0").
        version: Current version (e.g., "1.0.0").
-        cwd: Directory to run git commands in (defaults to current).

    Returns:
        Tuple of (commit_range, commits) where commits is newline-separated.
    """
    try:
-        all_tags = run_command(
-            ["git", "tag", "--sort=-version:refname"], cwd=cwd
-        ).split("\n")
+        all_tags = run_command(["git", "tag", "--sort=-version:refname"]).split("\n")
        prev_tags = [t for t in all_tags if t and t != tag_name and t != f"v{version}"]

        if not _is_prerelease(version):
@@ -769,30 +752,22 @@ def get_commits_from_last_tag(
        if prev_tags:
            last_tag = prev_tags[0]
            commit_range = f"{last_tag}..HEAD"
-            commits = run_command(
-                ["git", "log", commit_range, "--pretty=format:%s"], cwd=cwd
-            )
+            commits = run_command(["git", "log", commit_range, "--pretty=format:%s"])
        else:
            commit_range = "HEAD"
-            commits = run_command(["git", "log", "--pretty=format:%s"], cwd=cwd)
+            commits = run_command(["git", "log", "--pretty=format:%s"])
    except subprocess.CalledProcessError:
        commit_range = "HEAD"
-        commits = run_command(["git", "log", "--pretty=format:%s"], cwd=cwd)
+        commits = run_command(["git", "log", "--pretty=format:%s"])

    return commit_range, commits


-def get_github_contributors(
-    commit_range: str,
-    repo: str = "crewAIInc/crewAI",
-    cwd: Path | None = None,
-) -> list[str]:
+def get_github_contributors(commit_range: str) -> list[str]:
    """Get GitHub usernames from commit range using GitHub API.

    Args:
        commit_range: Git commit range (e.g., "abc123..HEAD").
-        repo: GitHub repo in ``owner/name`` form to resolve commits against.
-        cwd: Directory to run git commands in (defaults to current).

    Returns:
        List of GitHub usernames sorted alphabetically.
@@ -804,10 +779,10 @@ def get_github_contributors(
            gh_token = None

        g = Github(login_or_token=gh_token) if gh_token else Github()
-        github_repo = g.get_repo(repo)
+        github_repo = g.get_repo("crewAIInc/crewAI")

        commit_shas = run_command(
-            ["git", "log", commit_range, "--pretty=format:%H"], cwd=cwd
+            ["git", "log", commit_range, "--pretty=format:%H"]
        ).split("\n")

        contributors = set()
@@ -947,26 +922,9 @@ def _generate_release_notes(
    version: str,
    tag_name: str,
    no_edit: bool,
-    cwd: Path | None = None,
-    gh_repo: str = "crewAIInc/crewAI",
-    openai_client: OpenAI | None = None,
-    bump_already_done: bool = True,
 ) -> tuple[str, OpenAI, bool]:
    """Generate, display, and optionally edit release notes.

-    Args:
-        version: Version being released.
-        tag_name: Tag name for the release.
-        no_edit: Skip the interactive edit prompt.
-        cwd: Directory to run git commands in (defaults to current).
-        gh_repo: GitHub repo (``owner/name``) for resolving contributors.
-        openai_client: Reuse an existing OpenAI client if provided.
-        bump_already_done: True when the ``feat: bump versions to <version>``
-            commit for the current release is already in history (the real
-            release path). False in previews where no bump exists yet — the
-            most recent bump commit is the *previous* version and must be
-            used as the range start.
-
    Returns:
        Tuple of (release_notes, openai_client, is_prerelease).
    """
@@ -981,8 +939,7 @@ def _generate_release_notes(
                    "log",
                    "--grep=^feat: bump versions to",
                    "--format=%H %s",
-                ],
-                cwd=cwd,
+                ]
            )
            bump_entries = [
                line for line in prev_bump_output.strip().split("\n") if line.strip()
@@ -990,8 +947,7 @@ def _generate_release_notes(

            is_stable = not _is_prerelease(version)
            prev_commit = None
-            scan_entries = bump_entries[1:] if bump_already_done else bump_entries
-            for entry in scan_entries:
+            for entry in bump_entries[1:]:
                bump_ver = entry.split("feat: bump versions to", 1)[-1].strip()
                if is_stable and _is_prerelease(bump_ver):
                    continue
@@ -1001,7 +957,7 @@ def _generate_release_notes(
            if prev_commit:
                commit_range = f"{prev_commit}..HEAD"
                commits = run_command(
-                    ["git", "log", commit_range, "--pretty=format:%s"], cwd=cwd
+                    ["git", "log", commit_range, "--pretty=format:%s"]
                )

                commit_lines = [
@@ -1011,21 +967,14 @@ def _generate_release_notes(
                ]
                commits = "\n".join(commit_lines)
            else:
-                commit_range, commits = get_commits_from_last_tag(
-                    tag_name, version, cwd=cwd
-                )
+                commit_range, commits = get_commits_from_last_tag(tag_name, version)

        except subprocess.CalledProcessError:
-            commit_range, commits = get_commits_from_last_tag(
-                tag_name, version, cwd=cwd
-            )
+            commit_range, commits = get_commits_from_last_tag(tag_name, version)

-        github_contributors = get_github_contributors(
-            commit_range, repo=gh_repo, cwd=cwd
-        )
+        github_contributors = get_github_contributors(commit_range)

-        if openai_client is None:
-            openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+        openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

        if commits.strip():
            contributors_section = ""
@@ -1583,13 +1532,7 @@ def _wait_for_pr_merged(branch: str, cwd: Path) -> None:
        time.sleep(_PR_MERGE_POLL_INTERVAL)


-def _release_enterprise(
-    version: str,
-    is_prerelease: bool,
-    dry_run: bool,
-    no_edit: bool = False,
-    openai_client: OpenAI | None = None,
-) -> None:
+def _release_enterprise(version: str, is_prerelease: bool, dry_run: bool) -> None:
    """Clone the enterprise repo, bump versions, and create a release PR.

    Expects ENTERPRISE_REPO, ENTERPRISE_VERSION_DIRS, and
@@ -1599,8 +1542,6 @@ def _release_enterprise(
        version: New version string.
        is_prerelease: Whether this is a pre-release version.
        dry_run: Show what would be done without making changes.
-        no_edit: Skip the interactive release-notes edit prompt.
-        openai_client: Reuse OpenAI client from earlier phases if available.
    """
    if (
        not _ENTERPRISE_REPO
@@ -1618,6 +1559,7 @@ def _release_enterprise(
    )

    if dry_run:
+        console.print(f"[dim][DRY RUN][/dim] Would clone {enterprise_repo}")
        for d in _ENTERPRISE_VERSION_DIRS:
            console.print(f"[dim][DRY RUN][/dim] Would update versions in {d}")
        console.print(
@@ -1628,26 +1570,6 @@ def _release_enterprise(
            "[dim][DRY RUN][/dim] Would create bump PR, wait for merge, "
            "then tag and release"
        )
-
-        with tempfile.TemporaryDirectory() as tmp:
-            repo_dir = Path(tmp) / enterprise_repo.split("/")[-1]
-            console.print(f"\nCloning {enterprise_repo} (read-only preview)...")
-            run_command(["gh", "repo", "clone", enterprise_repo, str(repo_dir)])
-            console.print(f"[green]✓[/green] Cloned {enterprise_repo}")
-
-            _generate_release_notes(
-                version,
-                version,
-                no_edit,
-                cwd=repo_dir,
-                gh_repo=enterprise_repo,
-                openai_client=openai_client,
-                bump_already_done=False,
-            )
-            console.print(
-                "[dim][DRY RUN][/dim] Would tag and create GitHub release "
-                "with the notes above"
-            )
        return

    with tempfile.TemporaryDirectory() as tmp:
@@ -1760,18 +1682,8 @@ def _release_enterprise(
        run_command(["git", "pull"], cwd=repo_dir)

        tag_name = version
-
-        release_notes, _, _ = _generate_release_notes(
-            version,
-            tag_name,
-            no_edit,
-            cwd=repo_dir,
-            gh_repo=enterprise_repo,
-            openai_client=openai_client,
-        )
-
        run_command(
-            ["git", "tag", "-a", tag_name, "-m", release_notes],
+            ["git", "tag", "-a", tag_name, "-m", f"Release {version}"],
            cwd=repo_dir,
        )
        run_command(["git", "push", "origin", tag_name], cwd=repo_dir)
@@ -1787,7 +1699,7 @@ def _release_enterprise(
            "--title",
            tag_name,
            "--notes",
-            release_notes,
+            f"Release {version}",
        ]
        if is_prerelease:
            gh_cmd.append("--prerelease")
@@ -2086,7 +1998,7 @@ def tag(dry_run: bool, no_edit: bool) -> None:
            console.print("[green]✓[/green] main branch up to date")

        release_notes, openai_client, is_prerelease = _generate_release_notes(
-            version, tag_name, no_edit, bump_already_done=True
+            version, tag_name, no_edit
        )

        docs_branch = _update_docs_and_create_pr(
@@ -2197,7 +2109,7 @@ def release(

    if skip_to_enterprise:
        try:
-            _release_enterprise(version, is_prerelease, dry_run, no_edit=no_edit)
+            _release_enterprise(version, is_prerelease, dry_run)
        except BaseException as e:
            _print_release_error(e)
            _resume_hint(
@@ -2293,7 +2205,7 @@ def release(
            console.print("[green]✓[/green] main branch up to date")

        release_notes, openai_client, is_prerelease = _generate_release_notes(
-            version, tag_name, no_edit, bump_already_done=not dry_run
+            version, tag_name, no_edit
        )

        docs_branch = _update_docs_and_create_pr(
@@ -2347,13 +2259,7 @@ def release(

    if not skip_enterprise:
        try:
-            _release_enterprise(
-                version,
-                is_prerelease,
-                dry_run,
-                no_edit=no_edit,
-                openai_client=openai_client,
-            )
+            _release_enterprise(version, is_prerelease, dry_run)
        except BaseException as e:
            _print_release_error(e)
            _resume_hint(
--- a/lib/devtools/tests/test_toml_updates.py
+++ b/lib/devtools/tests/test_toml_updates.py
@@ -282,25 +282,6 @@ class TestUpdatePyprojectDependencies:
        assert '"crewai-files==2.0.0"' in result
        assert '"requests>=2.0"' in result

-    def test_skips_crewai_files_in_file_processing_extra(self, tmp_path: Path) -> None:
-        pyproject = tmp_path / "pyproject.toml"
-        pyproject.write_text(
-            dedent("""\
-            [project.optional-dependencies]
-            file-processing = [
-                "crewai-files==1.0.0",
-            ]
-            other = [
-                "crewai-files==1.0.0",
-            ]
-        """)
-        )
-
-        update_pyproject_dependencies(pyproject, "2.0.0")
-        result = pyproject.read_text()
-        assert '"crewai-files==1.0.0"' in result
-        assert '"crewai-files==2.0.0"' in result
-
    def test_leaves_bare_crewai_pin_alone(self, tmp_path: Path) -> None:
        """`crewai==` must not collide with `crewai-core==` etc."""
        pyproject = tmp_path / "pyproject.toml"
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -185,7 +185,7 @@ exclude-newer = "3 days"
 # python-multipart <0.0.27 has GHSA-pp6c-gr5w-3c5g (DoS via unbounded multipart headers).
 # gitpython <3.1.50 has GHSA-mv93-w799-cj2w (config_writer newline injection bypassing the 3.1.49 patch -> RCE via core.hooksPath).
 # urllib3 <2.7.0 has GHSA-qccp-gfcp-xxvc (ProxyManager cross-origin redirect leaks Authorization/Cookie) and GHSA-mf9v-mfxr-j63j (streaming decompression-bomb bypass); force 2.7.0+.
-# langsmith <0.8.0 has GHSA-3644-q5cj-c5c7 (public prompt manifest deserialization, SSRF/secret disclosure); force 0.8.0+.
+# langsmith <0.7.31 has GHSA-rr7j-v2q5-chgv (streaming token redaction bypass); force 0.7.31+.
 # authlib <1.6.11 has GHSA-jj8c-mmj3-mmgv (CSRF bypass in cache-based state storage).
 # litellm 1.83.8+ hard-pins openai==2.24.0, missing openai.types.responses used by crewai;
 # override to >=2.30.0 (the version litellm 1.83.7 used) until upstream relaxes the pin.
@@ -203,7 +203,7 @@ override-dependencies = [
    "uv>=0.11.6,<1",
    "python-multipart>=0.0.27,<1",
    "gitpython>=3.1.50,<4",
-    "langsmith>=0.8.0,<1",
+    "langsmith>=0.7.31,<0.8",
    "authlib>=1.6.11",
 ]

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

 [options]
-exclude-newer = "2026-05-16T15:32:24.373474Z"
+exclude-newer = "2026-05-08T16:33:02.834109Z"
 exclude-newer-span = "P3D"

 [manifest]
@@ -31,7 +31,7 @@ overrides = [
    { name = "gitpython", specifier = ">=3.1.50,<4" },
    { name = "langchain-core", specifier = ">=1.3.3,<2" },
    { name = "langchain-text-splitters", specifier = ">=1.1.2,<2" },
-    { name = "langsmith", specifier = ">=0.8.0,<1" },
+    { name = "langsmith", specifier = ">=0.7.31,<0.8" },
    { name = "onnxruntime", marker = "python_full_version < '3.11'", specifier = "<1.24" },
    { name = "openai", specifier = ">=2.30.0,<3" },
    { name = "pillow", specifier = ">=12.1.1" },
@@ -3268,11 +3268,11 @@ wheels = [

 [[package]]
 name = "idna"
-version = "3.15"
+version = "3.11"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d2/23/408243171aa9aaba178d3e2559159c24c1171a641aa83b67bdd3394ead8e/idna-3.15-py3-none-any.whl", hash = "sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8", size = 72340, upload-time = "2026-05-12T22:45:55.733Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
 ]

 [[package]]
@@ -3888,7 +3888,7 @@ sdist = { url = "https://files.pythonhosted.org/packages/0e/72/a3add0e4eec4eb9e2

 [[package]]
 name = "langsmith"
-version = "0.8.3"
+version = "0.7.32"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -3901,9 +3901,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/1e8ea5e8bab2a65fa95bd36229ef38e8723ec46e430e20ca2d953487a7f1/langsmith-0.8.3.tar.gz", hash = "sha256:767ff7a8d136ed42926bf99059ac631dc6883542d6e3104b32e71c7625e1fa05", size = 4460330, upload-time = "2026-05-07T19:56:56.18Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2f/b4/a0b4a501bee6b8a741ce29f8c48155b132118483cddc6f9247735ddb38fa/langsmith-0.7.32.tar.gz", hash = "sha256:b59b8e106d0e4c4842e158229296086e2aa7c561e3f602acda73d3ad0062e915", size = 1184518, upload-time = "2026-04-15T23:42:41.885Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/98/a9/51e644c1f1dbc3dd7d22dfd6412eab206d538c81e024e4f287373544bdcb/langsmith-0.8.3-py3-none-any.whl", hash = "sha256:b2e40e308222fa0beb2dccee3b4b30bfee9062d7a4f20a3e3e93df3c51a08ab4", size = 399048, upload-time = "2026-05-07T19:56:53.994Z" },
+    { url = "https://files.pythonhosted.org/packages/62/bc/148f98ac7dad73ac5e1b1c985290079cfeeb9ba13d760a24f25002beb2c9/langsmith-0.7.32-py3-none-any.whl", hash = "sha256:e1fde928990c4c52f47dc5132708cec674355d9101723d564183e965f383bf5f", size = 378272, upload-time = "2026-04-15T23:42:39.905Z" },
 ]

 [[package]]
Author	SHA1	Message	Date
Lorenze Jay	ff2fd74ee2	Merge branch 'main' into feat/open-sandbox-tool	2026-05-12 12:42:00 -07:00
github-actions[bot]	812468e1b9	chore: update tool specifications	2026-05-11 17:17:50 +00:00
Lorenze Jay	0f78d824e9	Merge branch 'main' into feat/open-sandbox-tool	2026-05-11 10:16:32 -07:00
iris-clawd	9c981e175b	feat(tools): add OpenSandbox sandbox tool with optional deps Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-08 23:02:12 +00:00