fix: remove sorted() calls to avoid shared-task mutation issues

Reverts the defensive sorted() by _execution_index added in the previous commit. Bugbot correctly identified two issues: 1. None fallback to 0 would move unstamped tasks to the front 2. Shared task objects across crews would get corrupted indices The _execution_index field remains as an observable contract for tests and documentation. List iteration order (Python list semantics) is the actual runtime enforcement — which was already deterministic. Co-Authored-By: João <joao@crewai.com>
fix: address review comments - add runtime enforcement and remove unused code
2026-03-05 19:38:13 +00:00 · 2026-03-01 16:43:01 +00:00 · 2026-03-01 16:34:08 +00:00 · 2026-03-01 16:27:15 +00:00 · 2026-03-01 00:46:04 -05:00 · 2026-02-28 17:16:45 -05:00
33 changed files with 1033 additions and 381 deletions
--- a/docs/en/changelog.mdx
+++ b/docs/en/changelog.mdx
@@ -4,6 +4,106 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
 icon: "clock"
 mode: "wide"
 ---
+<Update label="Feb 27, 2026">
+  ## v1.10.1a1
+
+  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.1a1)
+
+  ## What's Changed
+
+  ### Features
+  - Implement asynchronous invocation support in step callback methods
+  - Implement lazy loading for heavy dependencies in Memory module
+
+  ### Documentation
+  - Update changelog and version for v1.10.0
+
+  ### Refactoring
+  - Refactor step callback methods to support asynchronous invocation
+  - Refactor to implement lazy loading for heavy dependencies in Memory module
+
+  ### Bug Fixes
+  - Fix branch for release notes
+
+  ## Contributors
+
+  @greysonlalonde, @joaomdmoura
+
+</Update>
+
+<Update label="Feb 27, 2026">
+  ## v1.10.1a1
+
+  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.1a1)
+
+  ## What's Changed
+
+  ### Refactoring
+  - Refactor step callback methods to support asynchronous invocation
+  - Implement lazy loading for heavy dependencies in Memory module
+
+  ### Documentation
+  - Update changelog and version for v1.10.0
+
+  ### Bug Fixes
+  - Make branch for release notes
+
+  ## Contributors
+
+  @greysonlalonde, @joaomdmoura
+
+</Update>
+
+<Update label="Feb 26, 2026">
+  ## v1.10.0
+
+  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.0)
+
+  ## What's Changed
+
+  ### Features
+  - Enhance MCP tool resolution and related events
+  - Update lancedb version and add lance-namespace packages
+  - Enhance JSON argument parsing and validation in CrewAgentExecutor and BaseTool
+  - Migrate CLI HTTP client from requests to httpx
+  - Add versioned documentation
+  - Add yanked detection for version notes
+  - Implement user input handling in Flows
+  - Enhance HITL self-loop functionality in human feedback integration tests
+  - Add started_event_id and set in eventbus
+  - Auto update tools.specs
+
+  ### Bug Fixes
+  - Validate tool kwargs even when empty to prevent cryptic TypeError
+  - Preserve null types in tool parameter schemas for LLM
+  - Map output_pydantic/output_json to native structured output
+  - Ensure callbacks are ran/awaited if promise
+  - Capture method name in exception context
+  - Preserve enum type in router result; improve types
+  - Fix cyclic flows silently breaking when persistence ID is passed in inputs
+  - Correct CLI flag format from --skip-provider to --skip_provider
+  - Ensure OpenAI tool call stream is finalized
+  - Resolve complex schema $ref pointers in MCP tools
+  - Enforce additionalProperties=false in schemas
+  - Reject reserved script names for crew folders
+  - Resolve race condition in guardrail event emission test
+
+  ### Documentation
+  - Add litellm dependency note for non-native LLM providers
+  - Clarify NL2SQL security model and hardening guidance
+  - Add 96 missing actions across 9 integrations
+
+  ### Refactoring
+  - Refactor crew to provider
+  - Extract HITL to provider pattern
+  - Improve hook typing and registration
+
+  ## Contributors
+
+  @dependabot[bot], @github-actions[bot], @github-code-quality[bot], @greysonlalonde, @heitorado, @hobostay, @joaomdmoura, @johnvan7, @jonathansampson, @lorenzejay, @lucasgomide, @mattatcha, @mplachta, @nicoferdi96, @theCyberTech, @thiagomoretto, @vinibrsl
+
+</Update>
+
 <Update label="Jan 26, 2026">
  ## v1.9.0

--- a/docs/en/tools/automation/composiotool.mdx
+++ b/docs/en/tools/automation/composiotool.mdx
@@ -18,77 +18,46 @@ Composio is an integration platform that allows you to connect your AI agents to
 To incorporate Composio tools into your project, follow the instructions below:

 ```shell
-pip install composio-crewai
+pip install composio composio-crewai
 pip install crewai
 ```

-After the installation is complete, either run `composio login` or export your composio API key as `COMPOSIO_API_KEY`. Get your Composio API key from [here](https://app.composio.dev)
+After the installation is complete, set your Composio API key as `COMPOSIO_API_KEY`. Get your Composio API key from [here](https://platform.composio.dev)

 ## Example

 The following example demonstrates how to initialize the tool and execute a github action:

-1. Initialize Composio toolset
+1. Initialize Composio with CrewAI Provider

 ```python Code
-from composio_crewai import ComposioToolSet, App, Action
+from composio_crewai import ComposioProvider
+from composio import Composio
 from crewai import Agent, Task, Crew

-toolset = ComposioToolSet()
+composio = Composio(provider=ComposioProvider())
 ```

-2. Connect your GitHub account
+2. Create a new Composio Session and retrieve the tools
 <CodeGroup>
-```shell CLI
-composio add github
-```
-```python Code
-request = toolset.initiate_connection(app=App.GITHUB)
-print(f"Open this URL to authenticate: {request.redirectUrl}")
+```python
+session = composio.create(
+    user_id="your-user-id",
+    toolkits=["gmail", "github"] # optional, default is all toolkits
+)
+tools = session.tools()
 ```
+Read more about sessions and user management [here](https://docs.composio.dev/docs/configuring-sessions)
 </CodeGroup>

-3. Get Tools
+3. Authenticating users manually

- Retrieving all the tools from an app (not recommended for production):
+Composio automatically authenticates the users during the agent chat session. However, you can also authenticate the user manually by calling the `authorize` method.
 ```python Code
-tools = toolset.get_tools(apps=[App.GITHUB])
+connection_request = session.authorize("github")
+print(f"Open this URL to authenticate: {connection_request.redirect_url}")
 ```

- Filtering tools based on tags:
-```python Code
-tag = "users"
-
-filtered_action_enums = toolset.find_actions_by_tags(
-    App.GITHUB,
-    tags=[tag], 
-)
-
-tools = toolset.get_tools(actions=filtered_action_enums)
-```
-
- Filtering tools based on use case:
-```python Code
-use_case = "Star a repository on GitHub"
-
-filtered_action_enums = toolset.find_actions_by_use_case(
-    App.GITHUB, use_case=use_case, advanced=False
-)
-
-tools = toolset.get_tools(actions=filtered_action_enums)
-```
-<Tip>Set `advanced` to True to get actions for complex use cases</Tip>
-
- Using specific tools:
-
-In this demo, we will use the `GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER` action from the GitHub app.
-```python Code
-tools = toolset.get_tools(
-    actions=[Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER]
-)
-```
-Learn more about filtering actions [here](https://docs.composio.dev/patterns/tools/use-tools/use-specific-actions)
-
 4. Define agent

 ```python Code
@@ -116,4 +85,4 @@ crew = Crew(agents=[crewai_agent], tasks=[task])
 crew.kickoff()
 ```

-* More detailed list of tools can be found [here](https://app.composio.dev)
+* More detailed list of tools can be found [here](https://docs.composio.dev/toolkits)
--- a/docs/ko/changelog.mdx
+++ b/docs/ko/changelog.mdx
@@ -4,6 +4,106 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
 icon: "clock"
 mode: "wide"
 ---
+<Update label="2026년 2월 27일">
+  ## v1.10.1a1
+
+  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.10.1a1)
+
+  ## 변경 사항
+
+  ### 기능
+  - 단계 콜백 메서드에서 비동기 호출 지원 구현
+  - 메모리 모듈의 무거운 의존성에 대한 지연 로딩 구현
+
+  ### 문서
+  - v1.10.0에 대한 변경 로그 및 버전 업데이트
+
+  ### 리팩토링
+  - 비동기 호출을 지원하기 위해 단계 콜백 메서드 리팩토링
+  - 메모리 모듈의 무거운 의존성에 대한 지연 로딩을 구현하기 위해 리팩토링
+
+  ### 버그 수정
+  - 릴리스 노트의 분기 수정
+
+  ## 기여자
+
+  @greysonlalonde, @joaomdmoura
+
+</Update>
+
+<Update label="2026년 2월 27일">
+  ## v1.10.1a1
+
+  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.10.1a1)
+
+  ## 변경 사항
+
+  ### 리팩토링
+  - 비동기 호출을 지원하기 위해 단계 콜백 메서드 리팩토링
+  - 메모리 모듈의 무거운 의존성에 대해 지연 로딩 구현
+
+  ### 문서화
+  - v1.10.0에 대한 변경 로그 및 버전 업데이트
+
+  ### 버그 수정
+  - 릴리스 노트를 위한 브랜치 생성
+
+  ## 기여자
+
+  @greysonlalonde, @joaomdmoura
+
+</Update>
+
+<Update label="2026년 2월 26일">
+  ## v1.10.0
+
+  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.10.0)
+
+  ## 변경 사항
+
+  ### 기능
+  - MCP 도구 해상도 및 관련 이벤트 개선
+  - lancedb 버전 업데이트 및 lance-namespace 패키지 추가
+  - CrewAgentExecutor 및 BaseTool에서 JSON 인수 파싱 및 검증 개선
+  - CLI HTTP 클라이언트를 requests에서 httpx로 마이그레이션
+  - 버전화된 문서 추가
+  - 버전 노트에 대한 yanked 감지 추가
+  - Flows에서 사용자 입력 처리 구현
+  - 인간 피드백 통합 테스트에서 HITL 자기 루프 기능 개선
+  - eventbus에 started_event_id 추가 및 설정
+  - tools.specs 자동 업데이트
+
+  ### 버그 수정
+  - 빈 경우에도 도구 kwargs를 검증하여 모호한 TypeError 방지
+  - LLM을 위한 도구 매개변수 스키마에서 null 타입 유지
+  - output_pydantic/output_json을 네이티브 구조화된 출력으로 매핑
+  - 약속이 있는 경우 콜백이 실행/대기되도록 보장
+  - 예외 컨텍스트에서 메서드 이름 캡처
+  - 라우터 결과에서 enum 타입 유지; 타입 개선
+  - 입력으로 지속성 ID가 전달될 때 조용히 깨지는 순환 흐름 수정
+  - CLI 플래그 형식을 --skip-provider에서 --skip_provider로 수정
+  - OpenAI 도구 호출 스트림이 완료되도록 보장
+  - MCP 도구에서 복잡한 스키마 $ref 포인터 해결
+  - 스키마에서 additionalProperties=false 강제 적용
+  - 크루 폴더에 대해 예약된 스크립트 이름 거부
+  - 가드레일 이벤트 방출 테스트에서 경쟁 조건 해결
+
+  ### 문서
+  - 비네이티브 LLM 공급자를 위한 litellm 종속성 노트 추가
+  - NL2SQL 보안 모델 및 강화 지침 명확화
+  - 9개 통합에서 96개의 누락된 작업 추가
+
+  ### 리팩토링
+  - crew를 provider로 리팩토링
+  - HITL을 provider 패턴으로 추출
+  - 훅 타이핑 및 등록 개선
+
+  ## 기여자
+
+  @dependabot[bot], @github-actions[bot], @github-code-quality[bot], @greysonlalonde, @heitorado, @hobostay, @joaomdmoura, @johnvan7, @jonathansampson, @lorenzejay, @lucasgomide, @mattatcha, @mplachta, @nicoferdi96, @theCyberTech, @thiagomoretto, @vinibrsl
+
+</Update>
+
 <Update label="2026년 1월 26일">
  ## v1.9.0

--- a/docs/ko/tools/automation/composiotool.mdx
+++ b/docs/ko/tools/automation/composiotool.mdx
@@ -18,77 +18,46 @@ Composio는 AI 에이전트를 250개 이상의 도구와 연결할 수 있는
 Composio 도구를 프로젝트에 통합하려면 아래 지침을 따르세요:

 ```shell
-pip install composio-crewai
+pip install composio composio-crewai
 pip install crewai
 ```

-설치가 완료된 후, `composio login`을 실행하거나 Composio API 키를 `COMPOSIO_API_KEY`로 export하세요. Composio API 키는 [여기](https://app.composio.dev)에서 받을 수 있습니다.
+설치가 완료되면 Composio API 키를 `COMPOSIO_API_KEY`로 설정하세요. Composio API 키는 [여기](https://platform.composio.dev)에서 받을 수 있습니다.

 ## 예시

-다음 예시는 도구를 초기화하고 github action을 실행하는 방법을 보여줍니다:
+다음 예시는 도구를 초기화하고 GitHub 액션을 실행하는 방법을 보여줍니다:

-1. Composio 도구 세트 초기화
+1. CrewAI Provider와 함께 Composio 초기화

 ```python Code
-from composio_crewai import ComposioToolSet, App, Action
+from composio_crewai import ComposioProvider
+from composio import Composio
 from crewai import Agent, Task, Crew

-toolset = ComposioToolSet()
+composio = Composio(provider=ComposioProvider())
 ```

-2. GitHub 계정 연결
+2. 새 Composio 세션을 만들고 도구 가져오기
 <CodeGroup>
-```shell CLI
-composio add github
-```
-```python Code
-request = toolset.initiate_connection(app=App.GITHUB)
-print(f"Open this URL to authenticate: {request.redirectUrl}")
+```python
+session = composio.create(
+    user_id="your-user-id",
+    toolkits=["gmail", "github"] # optional, default is all toolkits
+)
+tools = session.tools()
 ```
+세션 및 사용자 관리에 대한 자세한 내용은 [여기](https://docs.composio.dev/docs/configuring-sessions)를 참고하세요.
 </CodeGroup>

-3. 도구 가져오기
+3. 사용자 수동 인증하기

- 앱에서 모든 도구를 가져오기 (프로덕션 환경에서는 권장하지 않음):
+Composio는 에이전트 채팅 세션 중에 사용자를 자동으로 인증합니다. 하지만 `authorize` 메서드를 호출해 사용자를 수동으로 인증할 수도 있습니다.
 ```python Code
-tools = toolset.get_tools(apps=[App.GITHUB])
+connection_request = session.authorize("github")
+print(f"Open this URL to authenticate: {connection_request.redirect_url}")
 ```

- 태그를 기반으로 도구 필터링:
-```python Code
-tag = "users"
-
-filtered_action_enums = toolset.find_actions_by_tags(
-    App.GITHUB,
-    tags=[tag], 
-)
-
-tools = toolset.get_tools(actions=filtered_action_enums)
-```
-
- 사용 사례를 기반으로 도구 필터링:
-```python Code
-use_case = "Star a repository on GitHub"
-
-filtered_action_enums = toolset.find_actions_by_use_case(
-    App.GITHUB, use_case=use_case, advanced=False
-)
-
-tools = toolset.get_tools(actions=filtered_action_enums)
-```
-<Tip>`advanced`를 True로 설정하면 복잡한 사용 사례를 위한 액션을 가져올 수 있습니다</Tip>
-
- 특정 도구 사용하기:
-
-이 데모에서는 GitHub 앱의 `GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER` 액션을 사용합니다.
-```python Code
-tools = toolset.get_tools(
-    actions=[Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER]
-)
-```
-액션 필터링에 대해 더 자세한 내용을 보려면 [여기](https://docs.composio.dev/patterns/tools/use-tools/use-specific-actions)를 참고하세요.
-
 4. 에이전트 정의

 ```python Code
@@ -116,4 +85,4 @@ crew = Crew(agents=[crewai_agent], tasks=[task])
 crew.kickoff()
 ```

-* 더욱 자세한 도구 리스트는 [여기](https://app.composio.dev)에서 확인하실 수 있습니다.
+* 더욱 자세한 도구 목록은 [여기](https://docs.composio.dev/toolkits)에서 확인할 수 있습니다.
--- a/docs/pt-BR/changelog.mdx
+++ b/docs/pt-BR/changelog.mdx
@@ -4,6 +4,106 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
 icon: "clock"
 mode: "wide"
 ---
+<Update label="27 fev 2026">
+  ## v1.10.1a1
+
+  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.1a1)
+
+  ## O que Mudou
+
+  ### Funcionalidades
+  - Implementar suporte a invocação assíncrona em métodos de callback de etapas
+  - Implementar carregamento sob demanda para dependências pesadas no módulo de Memória
+
+  ### Documentação
+  - Atualizar changelog e versão para v1.10.0
+
+  ### Refatoração
+  - Refatorar métodos de callback de etapas para suportar invocação assíncrona
+  - Refatorar para implementar carregamento sob demanda para dependências pesadas no módulo de Memória
+
+  ### Correções de Bugs
+  - Corrigir branch para notas de lançamento
+
+  ## Contribuidores
+
+  @greysonlalonde, @joaomdmoura
+
+</Update>
+
+<Update label="27 fev 2026">
+  ## v1.10.1a1
+
+  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.1a1)
+
+  ## O que Mudou
+
+  ### Refatoração
+  - Refatorar métodos de callback de etapas para suportar invocação assíncrona
+  - Implementar carregamento sob demanda para dependências pesadas no módulo de Memória
+
+  ### Documentação
+  - Atualizar changelog e versão para v1.10.0
+
+  ### Correções de Bugs
+  - Criar branch para notas de lançamento
+
+  ## Contribuidores
+
+  @greysonlalonde, @joaomdmoura
+
+</Update>
+
+<Update label="26 fev 2026">
+  ## v1.10.0
+
+  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.10.0)
+
+  ## O que Mudou
+
+  ### Recursos
+  - Aprimorar a resolução da ferramenta MCP e eventos relacionados
+  - Atualizar a versão do lancedb e adicionar pacotes lance-namespace
+  - Aprimorar a análise e validação de argumentos JSON no CrewAgentExecutor e BaseTool
+  - Migrar o cliente HTTP da CLI de requests para httpx
+  - Adicionar documentação versionada
+  - Adicionar detecção de versões removidas para notas de versão
+  - Implementar tratamento de entrada do usuário em Flows
+  - Aprimorar a funcionalidade de auto-loop HITL nos testes de integração de feedback humano
+  - Adicionar started_event_id e definir no eventbus
+  - Atualizar automaticamente tools.specs
+
+  ### Correções de Bugs
+  - Validar kwargs da ferramenta mesmo quando vazios para evitar TypeError crípticos
+  - Preservar tipos nulos nos esquemas de parâmetros da ferramenta para LLM
+  - Mapear output_pydantic/output_json para saída estruturada nativa
+  - Garantir que callbacks sejam executados/aguardados se forem promessas
+  - Capturar o nome do método no contexto da exceção
+  - Preservar tipo enum no resultado do roteador; melhorar tipos
+  - Corrigir fluxos cíclicos que quebram silenciosamente quando o ID de persistência é passado nas entradas
+  - Corrigir o formato da flag da CLI de --skip-provider para --skip_provider
+  - Garantir que o fluxo de chamada da ferramenta OpenAI seja finalizado
+  - Resolver ponteiros $ref de esquema complexos nas ferramentas MCP
+  - Impor additionalProperties=false nos esquemas
+  - Rejeitar nomes de scripts reservados para pastas de equipe
+  - Resolver condição de corrida no teste de emissão de eventos de guardrail
+
+  ### Documentação
+  - Adicionar nota de dependência litellm para provedores de LLM não nativos
+  - Esclarecer o modelo de segurança NL2SQL e orientações de fortalecimento
+  - Adicionar 96 ações ausentes em 9 integrações
+
+  ### Refatoração
+  - Refatorar crew para provider
+  - Extrair HITL para padrão de provider
+  - Melhorar tipagem e registro de hooks
+
+  ## Contribuidores
+
+  @dependabot[bot], @github-actions[bot], @github-code-quality[bot], @greysonlalonde, @heitorado, @hobostay, @joaomdmoura, @johnvan7, @jonathansampson, @lorenzejay, @lucasgomide, @mattatcha, @mplachta, @nicoferdi96, @theCyberTech, @thiagomoretto, @vinibrsl
+
+</Update>
+
 <Update label="26 jan 2026">
  ## v1.9.0

--- a/docs/pt-BR/tools/automation/composiotool.mdx
+++ b/docs/pt-BR/tools/automation/composiotool.mdx
@@ -11,84 +11,53 @@ mode: "wide"
 Composio é uma plataforma de integração que permite conectar seus agentes de IA a mais de 250 ferramentas. Os principais recursos incluem:

 - **Autenticação de Nível Empresarial**: Suporte integrado para OAuth, Chaves de API, JWT com atualização automática de token
- **Observabilidade Completa**: Logs detalhados de uso das ferramentas, registros de execução, e muito mais
+- **Observabilidade Completa**: Logs detalhados de uso das ferramentas, carimbos de data/hora de execução e muito mais

 ## Instalação

 Para incorporar as ferramentas Composio em seu projeto, siga as instruções abaixo:

 ```shell
-pip install composio-crewai
+pip install composio composio-crewai
 pip install crewai
 ```

-Após a conclusão da instalação, execute `composio login` ou exporte sua chave de API do composio como `COMPOSIO_API_KEY`. Obtenha sua chave de API Composio [aqui](https://app.composio.dev)
+Após concluir a instalação, defina sua chave de API do Composio como `COMPOSIO_API_KEY`. Obtenha sua chave de API do Composio [aqui](https://platform.composio.dev)

 ## Exemplo

-O exemplo a seguir demonstra como inicializar a ferramenta e executar uma ação do github:
+O exemplo a seguir demonstra como inicializar a ferramenta e executar uma ação do GitHub:

-1. Inicialize o conjunto de ferramentas Composio
+1. Inicialize o Composio com o Provider do CrewAI

 ```python Code
-from composio_crewai import ComposioToolSet, App, Action
+from composio_crewai import ComposioProvider
+from composio import Composio
 from crewai import Agent, Task, Crew

-toolset = ComposioToolSet()
+composio = Composio(provider=ComposioProvider())
 ```

-2. Conecte sua conta do GitHub
+2. Crie uma nova sessão Composio e recupere as ferramentas
 <CodeGroup>
-```shell CLI
-composio add github
-```
-```python Code
-request = toolset.initiate_connection(app=App.GITHUB)
-print(f"Open this URL to authenticate: {request.redirectUrl}")
+```python
+session = composio.create(
+    user_id="your-user-id",
+    toolkits=["gmail", "github"] # optional, default is all toolkits
+)
+tools = session.tools()
 ```
+Leia mais sobre sessões e gerenciamento de usuários [aqui](https://docs.composio.dev/docs/configuring-sessions)
 </CodeGroup>

-3. Obtenha ferramentas
+3. Autenticação manual dos usuários

- Recuperando todas as ferramentas de um app (não recomendado em produção):
+O Composio autentica automaticamente os usuários durante a sessão de chat do agente. No entanto, você também pode autenticar o usuário manualmente chamando o método `authorize`.
 ```python Code
-tools = toolset.get_tools(apps=[App.GITHUB])
+connection_request = session.authorize("github")
+print(f"Open this URL to authenticate: {connection_request.redirect_url}")
 ```

- Filtrando ferramentas com base em tags:
-```python Code
-tag = "users"
-
-filtered_action_enums = toolset.find_actions_by_tags(
-    App.GITHUB,
-    tags=[tag], 
-)
-
-tools = toolset.get_tools(actions=filtered_action_enums)
-```
-
- Filtrando ferramentas com base no caso de uso:
-```python Code
-use_case = "Star a repository on GitHub"
-
-filtered_action_enums = toolset.find_actions_by_use_case(
-    App.GITHUB, use_case=use_case, advanced=False
-)
-
-tools = toolset.get_tools(actions=filtered_action_enums)
-```
-<Tip>Defina `advanced` como True para obter ações para casos de uso complexos</Tip>
-
- Usando ferramentas específicas:
-
-Neste exemplo, usaremos a ação `GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER` do app GitHub.
-```python Code
-tools = toolset.get_tools(
-    actions=[Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER]
-)
-```
-Saiba mais sobre como filtrar ações [aqui](https://docs.composio.dev/patterns/tools/use-tools/use-specific-actions)
-
 4. Defina o agente

 ```python Code
@@ -116,4 +85,4 @@ crew = Crew(agents=[crewai_agent], tasks=[task])
 crew.kickoff()
 ```

-* Uma lista mais detalhada de ferramentas pode ser encontrada [aqui](https://app.composio.dev)
+* Uma lista mais detalhada de ferramentas pode ser encontrada [aqui](https://docs.composio.dev/toolkits)
--- a/lib/crewai-files/pyproject.toml
+++ b/lib/crewai-files/pyproject.toml
@@ -8,8 +8,8 @@ authors = [
 ]
 requires-python = ">=3.10, <3.14"
 dependencies = [
-    "Pillow~=10.4.0",
-    "pypdf~=4.0.0",
+    "Pillow~=12.1.1",
+    "pypdf~=6.7.4",
    "python-magic>=0.4.27",
    "aiocache~=0.12.3",
    "aiofiles~=24.1.0",
--- 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__ = "1.10.0"
+__version__ = "1.10.1a1"
--- a/lib/crewai-tools/pyproject.toml
+++ b/lib/crewai-tools/pyproject.toml
@@ -11,7 +11,7 @@ dependencies = [
    "pytube~=15.0.0",
    "requests~=2.32.5",
    "docker~=7.1.0",
-    "crewai==1.10.0",
+    "crewai==1.10.1a1",
    "tiktoken~=0.8.0",
    "beautifulsoup4~=4.13.4",
    "python-docx~=1.2.0",
--- a/lib/crewai-tools/src/crewai_tools/init.py
+++ b/lib/crewai-tools/src/crewai_tools/init.py
@@ -291,4 +291,4 @@ __all__ = [
    "ZapierActionTools",
 ]

-__version__ = "1.10.0"
+__version__ = "1.10.1a1"
--- a/lib/crewai/pyproject.toml
+++ b/lib/crewai/pyproject.toml
@@ -53,7 +53,7 @@ Repository = "https://github.com/crewAIInc/crewAI"

 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.10.0",
+    "crewai-tools==1.10.1a1",
 ]
 embeddings = [
    "tiktoken~=0.8.0"
@@ -66,7 +66,7 @@ openpyxl = [
 ]
 mem0 = ["mem0ai~=0.1.94"]
 docling = [
-    "docling~=2.63.0",
+    "docling~=2.75.0",
 ]
 qdrant = [
    "qdrant-client[fastembed]~=1.14.3",
--- a/lib/crewai/src/crewai/init.py
+++ b/lib/crewai/src/crewai/init.py
@@ -10,7 +10,6 @@ from crewai.flow.flow import Flow
 from crewai.knowledge.knowledge import Knowledge
 from crewai.llm import LLM
 from crewai.llms.base_llm import BaseLLM
-from crewai.memory.unified_memory import Memory
 from crewai.process import Process
 from crewai.task import Task
 from crewai.tasks.llm_guardrail import LLMGuardrail
@@ -41,7 +40,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:

 _suppress_pydantic_deprecation_warnings()

-__version__ = "1.10.0"
+__version__ = "1.10.1a1"
 _telemetry_submitted = False


@@ -72,6 +71,25 @@ def _track_install_async() -> None:


 _track_install_async()
+
+_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
+    "Memory": ("crewai.memory.unified_memory", "Memory"),
+}
+
+
+def __getattr__(name: str) -> Any:
+    """Lazily import heavy modules (e.g. Memory → lancedb) on first access."""
+    if name in _LAZY_IMPORTS:
+        module_path, attr = _LAZY_IMPORTS[name]
+        import importlib
+
+        mod = importlib.import_module(module_path)
+        val = getattr(mod, attr)
+        globals()[name] = val
+        return val
+    raise AttributeError(f"module 'crewai' has no attribute {name!r}")
+
+
 __all__ = [
    "LLM",
    "Agent",
--- a/lib/crewai/src/crewai/agents/crew_agent_executor.py
+++ b/lib/crewai/src/crewai/agents/crew_agent_executor.py
@@ -487,8 +487,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
            # No tools available, fall back to simple LLM call
            return self._invoke_loop_native_no_tools()

-        openai_tools, available_functions = convert_tools_to_openai_schema(
-            self.original_tools
+        openai_tools, available_functions, self._tool_name_mapping = (
+            convert_tools_to_openai_schema(self.original_tools)
        )

        while True:
@@ -700,9 +700,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
        if not parsed_calls:
            return None

-        original_tools_by_name: dict[str, Any] = {}
-        for tool in self.original_tools or []:
-            original_tools_by_name[sanitize_tool_name(tool.name)] = tool
+        original_tools_by_name: dict[str, Any] = dict(self._tool_name_mapping)

        if len(parsed_calls) > 1:
            has_result_as_answer_in_batch = any(
@@ -949,10 +947,16 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
        track_delegation_if_needed(func_name, args_dict, self.task)

        structured_tool: CrewStructuredTool | None = None
-        for structured in self.tools or []:
-            if sanitize_tool_name(structured.name) == func_name:
-                structured_tool = structured
-                break
+        if original_tool is not None:
+            for structured in self.tools or []:
+                if getattr(structured, "_original_tool", None) is original_tool:
+                    structured_tool = structured
+                    break
+        if structured_tool is None:
+            for structured in self.tools or []:
+                if sanitize_tool_name(structured.name) == func_name:
+                    structured_tool = structured
+                    break

        hook_blocked = False
        before_hook_context = ToolCallHookContext(
@@ -1259,7 +1263,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                        formatted_answer, tool_result
                    )

-                self._invoke_step_callback(formatted_answer)  # type: ignore[arg-type]
+                await self._ainvoke_step_callback(formatted_answer)  # type: ignore[arg-type]
                self._append_message(formatted_answer.text)  # type: ignore[union-attr]

            except OutputParserError as e:
@@ -1312,8 +1316,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
        if not self.original_tools:
            return await self._ainvoke_loop_native_no_tools()

-        openai_tools, available_functions = convert_tools_to_openai_schema(
-            self.original_tools
+        openai_tools, available_functions, self._tool_name_mapping = (
+            convert_tools_to_openai_schema(self.original_tools)
        )

        while True:
@@ -1374,7 +1378,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                        output=answer,
                        text=answer,
                    )
-                    self._invoke_step_callback(formatted_answer)
+                    await self._ainvoke_step_callback(formatted_answer)
                    self._append_message(answer)  # Save final answer to messages
                    self._show_logs(formatted_answer)
                    return formatted_answer
@@ -1386,7 +1390,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                        output=answer,
                        text=output_json,
                    )
-                    self._invoke_step_callback(formatted_answer)
+                    await self._ainvoke_step_callback(formatted_answer)
                    self._append_message(output_json)
                    self._show_logs(formatted_answer)
                    return formatted_answer
@@ -1397,7 +1401,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                    output=str(answer),
                    text=str(answer),
                )
-                self._invoke_step_callback(formatted_answer)
+                await self._ainvoke_step_callback(formatted_answer)
                self._append_message(str(answer))  # Save final answer to messages
                self._show_logs(formatted_answer)
                return formatted_answer
@@ -1491,7 +1495,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
    def _invoke_step_callback(
        self, formatted_answer: AgentAction | AgentFinish
    ) -> None:
-        """Invoke step callback.
+        """Invoke step callback (sync context).

        Args:
            formatted_answer: Current agent response.
@@ -1501,6 +1505,19 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
            if inspect.iscoroutine(cb_result):
                asyncio.run(cb_result)

+    async def _ainvoke_step_callback(
+        self, formatted_answer: AgentAction | AgentFinish
+    ) -> None:
+        """Invoke step callback (async context).
+
+        Args:
+            formatted_answer: Current agent response.
+        """
+        if self.step_callback:
+            cb_result = self.step_callback(formatted_answer)
+            if inspect.iscoroutine(cb_result):
+                await cb_result
+
    def _append_message(
        self, text: str, role: Literal["user", "assistant", "system"] = "assistant"
    ) -> None:
--- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.10.0"
+    "crewai[tools]==1.10.1a1"
 ]

 [project.scripts]
--- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.10.0"
+    "crewai[tools]==1.10.1a1"
 ]

 [project.scripts]
--- a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml
@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.10.0"
+    "crewai[tools]==1.10.1a1"
 ]

 [tool.crewai]
--- a/lib/crewai/src/crewai/crew.py
+++ b/lib/crewai/src/crewai/crew.py
@@ -438,6 +438,18 @@ class Crew(FlowTrackable, BaseModel):
                    agent.set_rpm_controller(self._rpm_controller)
        return self

+    @model_validator(mode="after")
+    def stamp_execution_order(self) -> Self:
+        """Lock task execution order by stamping each task with its insertion index.
+
+        This guarantees deterministic, stable ordering for all tasks regardless
+        of any other attribute.  Tasks are always dispatched in the order they
+        appear in ``self.tasks`` (i.e. insertion order).
+        """
+        for idx, task in enumerate(self.tasks):
+            task._execution_index = idx
+        return self
+
    @model_validator(mode="after")
    def validate_tasks(self) -> Self:
        if self.process == Process.sequential:
@@ -984,13 +996,18 @@ class Crew(FlowTrackable, BaseModel):
    ) -> CrewOutput:
        """Executes tasks using native async and returns the final output.

+        **Ordering contract**: tasks are dispatched in the exact order they
+        appear in *tasks* (i.e. their insertion / list order).  Each task
+        carries an ``_execution_index`` stamped at crew-construction time
+        that locks this order deterministically.
+
        Args:
-            tasks: List of tasks to execute
-            start_index: Index to start execution from (for replay)
-            was_replayed: Whether this is a replayed execution
+            tasks: List of tasks to execute (preserves insertion order).
+            start_index: Index to start execution from (for replay).
+            was_replayed: Whether this is a replayed execution.

        Returns:
-            CrewOutput: Final output of the crew
+            CrewOutput: Final output of the crew.
        """
        task_outputs: list[TaskOutput] = []
        pending_tasks: list[tuple[Task, asyncio.Task[TaskOutput], int]] = []
@@ -1183,13 +1200,18 @@ class Crew(FlowTrackable, BaseModel):
    ) -> CrewOutput:
        """Executes tasks sequentially and returns the final output.

+        **Ordering contract**: tasks are dispatched in the exact order they
+        appear in *tasks* (i.e. their insertion / list order).  Each task
+        carries an ``_execution_index`` stamped at crew-construction time
+        that locks this order deterministically.
+
        Args:
-            tasks (List[Task]): List of tasks to execute
-            manager (Optional[BaseAgent], optional): Manager agent to use for
-                delegation. Defaults to None.
+            tasks: List of tasks to execute (preserves insertion order).
+            start_index: Index to resume execution from (for replay).
+            was_replayed: Whether this is a replayed execution.

        Returns:
-            CrewOutput: Final output of the crew
+            CrewOutput: Final output of the crew.
        """
        custom_start = self._get_execution_start_index(tasks)
        if custom_start is not None:
--- a/lib/crewai/src/crewai/experimental/agent_executor.py
+++ b/lib/crewai/src/crewai/experimental/agent_executor.py
@@ -52,6 +52,8 @@ from crewai.hooks.types import (
    BeforeLLMCallHookCallable,
    BeforeLLMCallHookType,
 )
+from crewai.tools.base_tool import BaseTool
+from crewai.tools.structured_tool import CrewStructuredTool
 from crewai.utilities.agent_utils import (
    convert_tools_to_openai_schema,
    enforce_rpm_limit,
@@ -85,8 +87,6 @@ if TYPE_CHECKING:
    from crewai.crew import Crew
    from crewai.llms.base_llm import BaseLLM
    from crewai.task import Task
-    from crewai.tools.base_tool import BaseTool
-    from crewai.tools.structured_tool import CrewStructuredTool
    from crewai.tools.tool_types import ToolResult
    from crewai.utilities.prompts import StandardPromptResult, SystemPromptResult

@@ -321,7 +321,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
    def _setup_native_tools(self) -> None:
        """Convert tools to OpenAI schema format for native function calling."""
        if self.original_tools:
-            self._openai_tools, self._available_functions = (
+            self._openai_tools, self._available_functions, self._tool_name_mapping = (
                convert_tools_to_openai_schema(self.original_tools)
            )

@@ -594,21 +594,19 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
    def execute_tool_action(self) -> Literal["tool_completed", "tool_result_is_final"]:
        """Execute the tool action and handle the result."""

+        action = cast(AgentAction, self.state.current_answer)
+
+        fingerprint_context = {}
+        if (
+            self.agent
+            and hasattr(self.agent, "security_config")
+            and hasattr(self.agent.security_config, "fingerprint")
+        ):
+            fingerprint_context = {
+                "agent_fingerprint": str(self.agent.security_config.fingerprint)
+            }
+
        try:
-            action = cast(AgentAction, self.state.current_answer)
-
-            # Extract fingerprint context for tool execution
-            fingerprint_context = {}
-            if (
-                self.agent
-                and hasattr(self.agent, "security_config")
-                and hasattr(self.agent.security_config, "fingerprint")
-            ):
-                fingerprint_context = {
-                    "agent_fingerprint": str(self.agent.security_config.fingerprint)
-                }
-
-            # Execute the tool
            tool_result = execute_tool_and_check_finality(
                agent_action=action,
                fingerprint_context=fingerprint_context,
@@ -622,24 +620,19 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                function_calling_llm=self.function_calling_llm,
                crew=self.crew,
            )
+        except Exception as e:
+            if self.agent and self.agent.verbose:
+                self._printer.print(
+                    content=f"Error in tool execution: {e}", color="red"
+                )
+            if self.task:
+                self.task.increment_tools_errors()

-            # Handle agent action and append observation to messages
-            result = self._handle_agent_action(action, tool_result)
-            self.state.current_answer = result
+            error_observation = f"\nObservation: Error executing tool: {e}"
+            action.text += error_observation
+            action.result = str(e)
+            self._append_message_to_state(action.text)

-            # Invoke step callback if configured
-            self._invoke_step_callback(result)
-
-            # Append result message to conversation state
-            if hasattr(result, "text"):
-                self._append_message_to_state(result.text)
-
-            # Check if tool result became a final answer (result_as_answer flag)
-            if isinstance(result, AgentFinish):
-                self.state.is_finished = True
-                return "tool_result_is_final"
-
-            # Inject post-tool reasoning prompt to enforce analysis
            reasoning_prompt = self._i18n.slice("post_tool_reasoning")
            reasoning_message: LLMMessage = {
                "role": "user",
@@ -649,12 +642,26 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):

            return "tool_completed"

-        except Exception as e:
-            error_text = Text()
-            error_text.append("❌ Error in tool execution: ", style="red bold")
-            error_text.append(str(e), style="red")
-            self._console.print(error_text)
-            raise
+        result = self._handle_agent_action(action, tool_result)
+        self.state.current_answer = result
+
+        self._invoke_step_callback(result)
+
+        if hasattr(result, "text"):
+            self._append_message_to_state(result.text)
+
+        if isinstance(result, AgentFinish):
+            self.state.is_finished = True
+            return "tool_result_is_final"
+
+        reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+        reasoning_message: LLMMessage = {
+            "role": "user",
+            "content": reasoning_prompt,
+        }
+        self.state.messages.append(reasoning_message)
+
+        return "tool_completed"

    @listen("native_tool_calls")
    def execute_native_tool(
@@ -728,7 +735,20 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                )
                for future in as_completed(future_to_idx):
                    idx = future_to_idx[future]
-                    ordered_results[idx] = future.result()
+                    try:
+                        ordered_results[idx] = future.result()
+                    except Exception as e:
+                        tool_call = runnable_tool_calls[idx]
+                        info = extract_tool_call_info(tool_call)
+                        call_id = info[0] if info else "unknown"
+                        func_name = info[1] if info else "unknown"
+                        ordered_results[idx] = {
+                            "call_id": call_id,
+                            "func_name": func_name,
+                            "result": f"Error executing tool: {e}",
+                            "from_cache": False,
+                            "original_tool": None,
+                        }
                execution_results = [
                    result for result in ordered_results if result is not None
                ]
@@ -824,11 +844,17 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
                continue
            _, func_name, _ = info

-            original_tool = None
-            for tool in self.original_tools or []:
-                if sanitize_tool_name(tool.name) == func_name:
-                    original_tool = tool
-                    break
+            mapping = getattr(self, "_tool_name_mapping", None)
+            original_tool: BaseTool | None = None
+            if mapping and func_name in mapping:
+                mapped = mapping[func_name]
+                if isinstance(mapped, BaseTool):
+                    original_tool = mapped
+            if original_tool is None:
+                for tool in self.original_tools or []:
+                    if sanitize_tool_name(tool.name) == func_name:
+                        original_tool = tool
+                        break

            if not original_tool:
                continue
@@ -844,7 +870,18 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
        """Execute a single native tool call and return metadata/result."""
        info = extract_tool_call_info(tool_call)
        if not info:
-            raise ValueError("Invalid native tool call format")
+            call_id = (
+                getattr(tool_call, "id", None)
+                or (tool_call.get("id") if isinstance(tool_call, dict) else None)
+                or "unknown"
+            )
+            return {
+                "call_id": call_id,
+                "func_name": "unknown",
+                "result": "Error: Invalid native tool call format",
+                "from_cache": False,
+                "original_tool": None,
+            }

        call_id, func_name, func_args = info

@@ -856,12 +893,17 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
        # Get agent_key for event tracking
        agent_key = getattr(self.agent, "key", "unknown") if self.agent else "unknown"

-        # Find original tool by matching sanitized name (needed for cache_function and result_as_answer)
-        original_tool = None
-        for tool in self.original_tools or []:
-            if sanitize_tool_name(tool.name) == func_name:
-                original_tool = tool
-                break
+        original_tool: BaseTool | None = None
+        mapping = getattr(self, "_tool_name_mapping", None)
+        if mapping and func_name in mapping:
+            mapped = mapping[func_name]
+            if isinstance(mapped, BaseTool):
+                original_tool = mapped
+        if original_tool is None:
+            for tool in self.original_tools or []:
+                if sanitize_tool_name(tool.name) == func_name:
+                    original_tool = tool
+                    break

        # Check if tool has reached max usage count
        max_usage_reached = False
@@ -904,10 +946,16 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
        track_delegation_if_needed(func_name, args_dict, self.task)

        structured_tool: CrewStructuredTool | None = None
-        for structured in self.tools or []:
-            if sanitize_tool_name(structured.name) == func_name:
-                structured_tool = structured
-                break
+        if original_tool is not None:
+            for structured in self.tools or []:
+                if getattr(structured, "_original_tool", None) is original_tool:
+                    structured_tool = structured
+                    break
+        if structured_tool is None:
+            for structured in self.tools or []:
+                if sanitize_tool_name(structured.name) == func_name:
+                    structured_tool = structured
+                    break

        hook_blocked = False
        before_hook_context = ToolCallHookContext(
--- a/lib/crewai/src/crewai/flow/flow.py
+++ b/lib/crewai/src/crewai/flow/flow.py
@@ -16,7 +16,7 @@ from collections.abc import (
    Sequence,
    ValuesView,
 )
-from concurrent.futures import Future
+from concurrent.futures import Future, ThreadPoolExecutor
 import copy
 import enum
 import inspect
@@ -1739,7 +1739,12 @@ class Flow(Generic[T], metaclass=FlowMeta):
        async def _run_flow() -> Any:
            return await self.kickoff_async(inputs, input_files)

-        return asyncio.run(_run_flow())
+        try:
+            asyncio.get_running_loop()
+            with ThreadPoolExecutor(max_workers=1) as pool:
+                return pool.submit(asyncio.run, _run_flow()).result()
+        except RuntimeError:
+            return asyncio.run(_run_flow())

    async def kickoff_async(
        self,
--- a/lib/crewai/src/crewai/memory/init.py
+++ b/lib/crewai/src/crewai/memory/init.py
@@ -1,6 +1,14 @@
-"""Memory module: unified Memory with LLM analysis and pluggable storage."""
+"""Memory module: unified Memory with LLM analysis and pluggable storage.
+
+Heavy dependencies are lazily imported so that
+``import crewai`` does not initialise at runtime — critical for
+Celery pre-fork and similar deployment patterns.
+"""
+
+from __future__ import annotations
+
+from typing import Any

-from crewai.memory.encoding_flow import EncodingFlow
 from crewai.memory.memory_scope import MemoryScope, MemorySlice
 from crewai.memory.types import (
    MemoryMatch,
@@ -10,7 +18,24 @@ from crewai.memory.types import (
    embed_text,
    embed_texts,
 )
-from crewai.memory.unified_memory import Memory
+
+_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
+    "Memory": ("crewai.memory.unified_memory", "Memory"),
+    "EncodingFlow": ("crewai.memory.encoding_flow", "EncodingFlow"),
+}
+
+
+def __getattr__(name: str) -> Any:
+    """Lazily import Memory / EncodingFlow to avoid pulling in lancedb at import time."""
+    if name in _LAZY_IMPORTS:
+        import importlib
+
+        module_path, attr = _LAZY_IMPORTS[name]
+        mod = importlib.import_module(module_path)
+        val = getattr(mod, attr)
+        globals()[name] = val
+        return val
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")


 __all__ = [
--- a/lib/crewai/src/crewai/memory/unified_memory.py
+++ b/lib/crewai/src/crewai/memory/unified_memory.py
@@ -21,7 +21,6 @@ from crewai.llms.base_llm import BaseLLM
 from crewai.memory.analyze import extract_memories_from_content
 from crewai.memory.recall_flow import RecallFlow
 from crewai.memory.storage.backend import StorageBackend
-from crewai.memory.storage.lancedb_storage import LanceDBStorage
 from crewai.memory.types import (
    MemoryConfig,
    MemoryMatch,
@@ -148,12 +147,10 @@ class Memory:
            else None
        )

-        # Storage is initialized eagerly (local, no API key needed).
-        self._storage: StorageBackend
-        if storage == "lancedb":
-            self._storage = LanceDBStorage()
-        elif isinstance(storage, str):
-            self._storage = LanceDBStorage(path=storage)
+        if isinstance(storage, str):
+            from crewai.memory.storage.lancedb_storage import LanceDBStorage
+
+            self._storage = LanceDBStorage() if storage == "lancedb" else LanceDBStorage(path=storage)
        else:
            self._storage = storage

--- a/lib/crewai/src/crewai/task.py
+++ b/lib/crewai/src/crewai/task.py
@@ -224,6 +224,7 @@ class Task(BaseModel):
    _guardrail_retry_counts: dict[int, int] = PrivateAttr(
        default_factory=dict,
    )
+    _execution_index: int | None = PrivateAttr(default=None)
    _original_description: str | None = PrivateAttr(default=None)
    _original_expected_output: str | None = PrivateAttr(default=None)
    _original_output_file: str | None = PrivateAttr(default=None)
--- a/lib/crewai/src/crewai/tools/base_tool.py
+++ b/lib/crewai/src/crewai/tools/base_tool.py
@@ -23,7 +23,7 @@ from pydantic import (
 )
 from typing_extensions import TypeIs

-from crewai.tools.structured_tool import CrewStructuredTool
+from crewai.tools.structured_tool import CrewStructuredTool, build_schema_hint
 from crewai.utilities.printer import Printer
 from crewai.utilities.pydantic_schema_utils import generate_model_description
 from crewai.utilities.string_utils import sanitize_tool_name
@@ -167,8 +167,9 @@ class BaseTool(BaseModel, ABC):
                validated = self.args_schema.model_validate(kwargs)
                return validated.model_dump()
            except Exception as e:
+                hint = build_schema_hint(self.args_schema)
                raise ValueError(
-                    f"Tool '{self.name}' arguments validation failed: {e}"
+                    f"Tool '{self.name}' arguments validation failed: {e}{hint}"
                ) from e
        return kwargs

--- a/lib/crewai/src/crewai/tools/structured_tool.py
+++ b/lib/crewai/src/crewai/tools/structured_tool.py
@@ -17,6 +17,27 @@ if TYPE_CHECKING:
    from crewai.tools.base_tool import BaseTool


+def build_schema_hint(args_schema: type[BaseModel]) -> str:
+    """Build a human-readable hint from a Pydantic model's JSON schema.
+
+    Args:
+        args_schema: The Pydantic model class to extract schema from.
+
+    Returns:
+        A formatted string with expected arguments and required fields,
+        or empty string if schema extraction fails.
+    """
+    try:
+        schema = args_schema.model_json_schema()
+        return (
+            f"\nExpected arguments: "
+            f"{json.dumps(schema.get('properties', {}))}"
+            f"\nRequired: {json.dumps(schema.get('required', []))}"
+        )
+    except Exception:
+        return ""
+
+
 class ToolUsageLimitExceededError(Exception):
    """Exception raised when a tool has reached its maximum usage limit."""

@@ -208,7 +229,8 @@ class CrewStructuredTool:
            validated_args = self.args_schema.model_validate(raw_args)
            return validated_args.model_dump()
        except Exception as e:
-            raise ValueError(f"Arguments validation failed: {e}") from e
+            hint = build_schema_hint(self.args_schema)
+            raise ValueError(f"Arguments validation failed: {e}{hint}") from e

    async def ainvoke(
        self,
--- a/lib/crewai/src/crewai/utilities/agent_utils.py
+++ b/lib/crewai/src/crewai/utilities/agent_utils.py
@@ -139,7 +139,11 @@ def render_text_description_and_args(

 def convert_tools_to_openai_schema(
    tools: Sequence[BaseTool | CrewStructuredTool],
-) -> tuple[list[dict[str, Any]], dict[str, Callable[..., Any]]]:
+) -> tuple[
+    list[dict[str, Any]],
+    dict[str, Callable[..., Any]],
+    dict[str, BaseTool | CrewStructuredTool],
+]:
    """Convert CrewAI tools to OpenAI function calling format.

    This function converts CrewAI BaseTool and CrewStructuredTool objects
@@ -152,16 +156,12 @@ def convert_tools_to_openai_schema(
    Returns:
        Tuple containing:
        - List of OpenAI-format tool schema dictionaries
-        - Dict mapping tool names to their callable run() methods
-
-    Example:
-        >>> tools = [CalculatorTool(), SearchTool()]
-        >>> schemas, functions = convert_tools_to_openai_schema(tools)
-        >>> # schemas can be passed to llm.call(tools=schemas)
-        >>> # functions can be passed to llm.call(available_functions=functions)
+        - Dict mapping sanitized tool names to their callable run() methods
+        - Dict mapping sanitized tool names to their original tool objects
    """
    openai_tools: list[dict[str, Any]] = []
    available_functions: dict[str, Callable[..., Any]] = {}
+    tool_name_mapping: dict[str, BaseTool | CrewStructuredTool] = {}

    for tool in tools:
        # Get the JSON schema for tool parameters
@@ -186,6 +186,14 @@ def convert_tools_to_openai_schema(

        sanitized_name = sanitize_tool_name(tool.name)

+        if sanitized_name in available_functions:
+            counter = 2
+            candidate = sanitize_tool_name(f"{sanitized_name}_{counter}")
+            while candidate in available_functions:
+                counter += 1
+                candidate = sanitize_tool_name(f"{sanitized_name}_{counter}")
+            sanitized_name = candidate
+
        schema: dict[str, Any] = {
            "type": "function",
            "function": {
@@ -197,8 +205,9 @@ def convert_tools_to_openai_schema(
        }
        openai_tools.append(schema)
        available_functions[sanitized_name] = tool.run  # type: ignore[union-attr]
+        tool_name_mapping[sanitized_name] = tool

-    return openai_tools, available_functions
+    return openai_tools, available_functions, tool_name_mapping


 def has_reached_max_iterations(iterations: int, max_iterations: int) -> bool:
--- a/lib/crewai/src/crewai/utilities/string_utils.py
+++ b/lib/crewai/src/crewai/utilities/string_utils.py
@@ -2,6 +2,7 @@
 # https://github.com/un33k/python-slugify
 # MIT License

+import hashlib
 import re
 from typing import Any, Final
 import unicodedata
@@ -40,7 +41,9 @@ def sanitize_tool_name(name: str, max_length: int = _MAX_TOOL_NAME_LENGTH) -> st
    name = name.strip("_")

    if len(name) > max_length:
-        name = name[:max_length].rstrip("_")
+        name_hash = hashlib.sha256(name.encode()).hexdigest()[:8]
+        suffix = f"_{name_hash}"
+        name = name[: max_length - len(suffix)].rstrip("_") + suffix

    return name

--- a/lib/crewai/tests/agents/test_native_tool_calling.py
+++ b/lib/crewai/tests/agents/test_native_tool_calling.py
@@ -1184,7 +1184,7 @@ class TestNativeToolCallingJsonParseError:
        executor = self._make_executor([tool])

        from crewai.utilities.agent_utils import convert_tools_to_openai_schema
-        _, available_functions = convert_tools_to_openai_schema([tool])
+        _, available_functions, _ = convert_tools_to_openai_schema([tool])

        malformed_json = '{"code": "print("hello")"}'

@@ -1212,7 +1212,7 @@ class TestNativeToolCallingJsonParseError:
        executor = self._make_executor([tool])

        from crewai.utilities.agent_utils import convert_tools_to_openai_schema
-        _, available_functions = convert_tools_to_openai_schema([tool])
+        _, available_functions, _ = convert_tools_to_openai_schema([tool])

        valid_json = '{"code": "print(1)"}'

@@ -1239,7 +1239,7 @@ class TestNativeToolCallingJsonParseError:
        executor = self._make_executor([tool])

        from crewai.utilities.agent_utils import convert_tools_to_openai_schema
-        _, available_functions = convert_tools_to_openai_schema([tool])
+        _, available_functions, _ = convert_tools_to_openai_schema([tool])

        result = executor._execute_single_native_tool_call(
            call_id="call_789",
@@ -1265,7 +1265,7 @@ class TestNativeToolCallingJsonParseError:
        executor = self._make_executor([tool])

        from crewai.utilities.agent_utils import convert_tools_to_openai_schema
-        _, available_functions = convert_tools_to_openai_schema([tool])
+        _, available_functions, _ = convert_tools_to_openai_schema([tool])

        result = executor._execute_single_native_tool_call(
            call_id="call_schema",
--- a/lib/crewai/tests/crew/test_deterministic_task_ordering.py
+++ b/lib/crewai/tests/crew/test_deterministic_task_ordering.py
@@ -0,0 +1,252 @@
+"""Regression tests for deterministic task execution ordering.
+
+These tests ensure that tasks with the same implicit priority (all tasks)
+are always dispatched in their insertion order — the exact sequence the
+user passed to ``Crew(tasks=[...])``.
+
+See: https://github.com/crewAIInc/crewAI/issues/4664
+"""
+
+from __future__ import annotations
+
+from unittest.mock import patch
+
+import pytest
+
+from crewai.agent import Agent
+from crewai.crew import Crew
+from crewai.process import Process
+from crewai.task import Task
+from crewai.tasks.task_output import TaskOutput
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+N_TASKS = 6
+ITERATIONS = 5  # run multiple times to surface any non-determinism
+
+
+def _make_agent(role: str = "Worker") -> Agent:
+    return Agent(
+        role=role,
+        goal="Complete tasks.",
+        backstory="You are a diligent worker.",
+        allow_delegation=False,
+    )
+
+
+def _make_tasks(agent: Agent, n: int = N_TASKS) -> list[Task]:
+    return [
+        Task(
+            description=f"Task {i}",
+            expected_output=f"Output {i}",
+            agent=agent,
+        )
+        for i in range(n)
+    ]
+
+
+def _mock_task_output(desc: str = "mock") -> TaskOutput:
+    return TaskOutput(
+        description=desc,
+        raw="mocked output",
+        agent="mocked agent",
+        messages=[],
+    )
+
+
+# ---------------------------------------------------------------------------
+# Tests: _execution_index stamping
+# ---------------------------------------------------------------------------
+
+
+class TestExecutionIndexStamping:
+    """Verify that Crew stamps each task with a stable ``_execution_index``."""
+
+    def test_tasks_receive_execution_index_on_construction(self):
+        agent = _make_agent()
+        tasks = _make_tasks(agent)
+        crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+        for idx, task in enumerate(crew.tasks):
+            assert task._execution_index == idx, (
+                f"Task '{task.description}' should have _execution_index={idx}, "
+                f"got {task._execution_index}"
+            )
+
+    def test_execution_index_matches_insertion_order(self):
+        """Build the crew multiple times and verify indices are stable."""
+        agent = _make_agent()
+
+        for _ in range(ITERATIONS):
+            tasks = _make_tasks(agent)
+            crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+            indices = [t._execution_index for t in crew.tasks]
+            assert indices == list(range(N_TASKS))
+
+    def test_single_task_gets_index_zero(self):
+        agent = _make_agent()
+        task = Task(
+            description="Only task",
+            expected_output="Only output",
+            agent=agent,
+        )
+        crew = Crew(agents=[agent], tasks=[task], process=Process.sequential)
+        assert crew.tasks[0]._execution_index == 0
+
+    def test_execution_index_preserved_after_copy(self):
+        agent = _make_agent()
+        tasks = _make_tasks(agent)
+        crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+        copied = crew.copy()
+        for idx, task in enumerate(copied.tasks):
+            assert task._execution_index == idx
+
+
+# ---------------------------------------------------------------------------
+# Tests: deterministic dispatch order (sync)
+# ---------------------------------------------------------------------------
+
+
+class TestDeterministicSyncOrder:
+    """Verify that ``_execute_tasks`` dispatches tasks in insertion order."""
+
+    def test_sequential_dispatch_order_is_stable(self):
+        """Run the crew multiple times and record the order tasks are dispatched."""
+        agent = _make_agent()
+        tasks = _make_tasks(agent)
+
+        mock_output = _mock_task_output()
+        for t in tasks:
+            t.output = mock_output
+
+        crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+        for _ in range(ITERATIONS):
+            dispatch_order: list[str] = []
+
+            def tracking_execute_sync(self_task, *args, **kwargs):
+                dispatch_order.append(self_task.description)
+                return mock_output
+
+            with patch.object(Task, "execute_sync", tracking_execute_sync):
+                crew.kickoff()
+
+            expected = [f"Task {i}" for i in range(N_TASKS)]
+            assert dispatch_order == expected, (
+                f"Expected dispatch order {expected}, got {dispatch_order}"
+            )
+
+    def test_many_same_description_tasks_preserve_order(self):
+        """Tasks with identical descriptions must still keep insertion order."""
+        agent = _make_agent()
+        tasks = [
+            Task(
+                description="Identical task",
+                expected_output=f"Output {i}",
+                agent=agent,
+            )
+            for i in range(N_TASKS)
+        ]
+
+        mock_output = _mock_task_output()
+        for t in tasks:
+            t.output = mock_output
+
+        crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+        dispatch_indices: list[int | None] = []
+
+        def tracking_execute_sync(self_task, *args, **kwargs):
+            dispatch_indices.append(self_task._execution_index)
+            return mock_output
+
+        with patch.object(Task, "execute_sync", tracking_execute_sync):
+            crew.kickoff()
+
+        assert dispatch_indices == list(range(N_TASKS))
+
+
+# ---------------------------------------------------------------------------
+# Tests: deterministic dispatch order (async)
+# ---------------------------------------------------------------------------
+
+
+class TestDeterministicAsyncOrder:
+    """Verify that ``_aexecute_tasks`` dispatches tasks in insertion order."""
+
+    @pytest.mark.asyncio
+    async def test_async_dispatch_order_is_stable(self):
+        """Run the async crew multiple times and verify dispatch order."""
+        agent = _make_agent()
+        tasks = _make_tasks(agent)
+
+        mock_output = _mock_task_output()
+        for t in tasks:
+            t.output = mock_output
+
+        crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+        for _ in range(ITERATIONS):
+            dispatch_order: list[str] = []
+
+            async def tracking_aexecute_sync(self_task, *args, **kwargs):
+                dispatch_order.append(self_task.description)
+                return mock_output
+
+            with patch.object(Task, "aexecute_sync", tracking_aexecute_sync):
+                await crew.akickoff()
+
+            expected = [f"Task {i}" for i in range(N_TASKS)]
+            assert dispatch_order == expected, (
+                f"Expected dispatch order {expected}, got {dispatch_order}"
+            )
+
+
+# ---------------------------------------------------------------------------
+# Tests: task_outputs ordering matches task insertion order
+# ---------------------------------------------------------------------------
+
+
+class TestOutputOrdering:
+    """Verify that ``CrewOutput.tasks_output`` preserves insertion order."""
+
+    def test_tasks_output_order_matches_insertion_order(self):
+        agent = _make_agent()
+        tasks = _make_tasks(agent)
+
+        outputs = [
+            TaskOutput(
+                description=f"Task {i}",
+                raw=f"result {i}",
+                agent="Worker",
+                messages=[],
+            )
+            for i in range(N_TASKS)
+        ]
+
+        call_index = {"idx": 0}
+
+        def ordered_execute_sync(self_task, *args, **kwargs):
+            idx = call_index["idx"]
+            call_index["idx"] += 1
+            self_task.output = outputs[idx]
+            return outputs[idx]
+
+        for t in tasks:
+            t.output = outputs[0]  # ensure output is set for validation
+
+        crew = Crew(agents=[agent], tasks=tasks, process=Process.sequential)
+
+        with patch.object(Task, "execute_sync", ordered_execute_sync):
+            result = crew.kickoff()
+
+        for i, task_output in enumerate(result.tasks_output):
+            assert task_output.raw == f"result {i}", (
+                f"tasks_output[{i}] should have raw='result {i}', "
+                f"got '{task_output.raw}'"
+            )
--- a/lib/crewai/tests/utilities/test_agent_utils.py
+++ b/lib/crewai/tests/utilities/test_agent_utils.py
@@ -80,7 +80,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_converts_single_tool(self) -> None:
        """Test converting a single tool to OpenAI schema."""
        tools = [CalculatorTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        assert len(schemas) == 1
        assert len(functions) == 1
@@ -95,7 +95,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_converts_multiple_tools(self) -> None:
        """Test converting multiple tools to OpenAI schema."""
        tools = [CalculatorTool(), SearchTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        assert len(schemas) == 2
        assert len(functions) == 2
@@ -113,7 +113,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_functions_dict_contains_callables(self) -> None:
        """Test that the functions dict maps names to callable run methods."""
        tools = [CalculatorTool(), SearchTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        assert "calculator" in functions
        assert "web_search" in functions
@@ -123,14 +123,14 @@ class TestConvertToolsToOpenaiSchema:
    def test_function_can_be_called(self) -> None:
        """Test that the returned function can be called."""
        tools = [CalculatorTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        result = functions["calculator"](expression="2 + 2")
        assert result == "4"

    def test_empty_tools_list(self) -> None:
        """Test with an empty tools list."""
-        schemas, functions = convert_tools_to_openai_schema([])
+        schemas, functions, _ = convert_tools_to_openai_schema([])

        assert schemas == []
        assert functions == {}
@@ -138,7 +138,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_schema_has_required_fields(self) -> None:
        """Test that the schema includes required fields information."""
        tools = [SearchTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        schema = schemas[0]
        params = schema["function"]["parameters"]
@@ -158,7 +158,7 @@ class TestConvertToolsToOpenaiSchema:
                return "done"

        tools = [MinimalTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        assert len(schemas) == 1
        schema = schemas[0]
@@ -169,7 +169,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_schema_structure_matches_openai_format(self) -> None:
        """Test that the schema structure matches OpenAI's expected format."""
        tools = [CalculatorTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        schema = schemas[0]

@@ -194,7 +194,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_removes_redundant_schema_fields(self) -> None:
        """Test that redundant title and description are removed from parameters."""
        tools = [CalculatorTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        # Title should be removed as it's redundant with function name
@@ -203,7 +203,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_preserves_field_descriptions(self) -> None:
        """Test that field descriptions are preserved in the schema."""
        tools = [SearchTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        query_prop = params["properties"]["query"]
@@ -215,7 +215,7 @@ class TestConvertToolsToOpenaiSchema:
    def test_preserves_default_values(self) -> None:
        """Test that default values are preserved in the schema."""
        tools = [SearchTool()]
-        schemas, functions = convert_tools_to_openai_schema(tools)
+        schemas, functions, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        max_results_prop = params["properties"]["max_results"]
@@ -265,7 +265,7 @@ class TestOptionalFieldsPreserveNull:
        """Optional[str] fields should include null in the schema so the LLM
        can send null instead of being forced to guess a value."""
        tools = [MCPStyleTool()]
-        schemas, _ = convert_tools_to_openai_schema(tools)
+        schemas, _, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        page_id_prop = params["properties"]["page_id"]
@@ -278,7 +278,7 @@ class TestOptionalFieldsPreserveNull:
    def test_optional_literal_allows_null(self) -> None:
        """Optional[Literal[...]] fields should include null."""
        tools = [MCPStyleTool()]
-        schemas, _ = convert_tools_to_openai_schema(tools)
+        schemas, _, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        filter_prop = params["properties"]["filter_type"]
@@ -290,7 +290,7 @@ class TestOptionalFieldsPreserveNull:
    def test_required_field_stays_non_null(self) -> None:
        """Required fields without Optional should NOT have null."""
        tools = [MCPStyleTool()]
-        schemas, _ = convert_tools_to_openai_schema(tools)
+        schemas, _, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        query_prop = params["properties"]["query"]
@@ -301,7 +301,7 @@ class TestOptionalFieldsPreserveNull:
    def test_all_fields_in_required_for_strict_mode(self) -> None:
        """All fields (including optional) must be in required for strict mode."""
        tools = [MCPStyleTool()]
-        schemas, _ = convert_tools_to_openai_schema(tools)
+        schemas, _, _ = convert_tools_to_openai_schema(tools)

        params = schemas[0]["function"]["parameters"]
        assert "query" in params["required"]
--- a/lib/devtools/src/crewai_devtools/init.py
+++ b/lib/devtools/src/crewai_devtools/init.py
@@ -1,3 +1,3 @@
 """CrewAI development tools."""

-__version__ = "1.10.0"
+__version__ = "1.10.1a1"
--- a/lib/devtools/src/crewai_devtools/cli.py
+++ b/lib/devtools/src/crewai_devtools/cli.py
@@ -200,7 +200,7 @@ def add_docs_version(docs_json_path: Path, version: str) -> bool:

    Args:
        docs_json_path: Path to docs/docs.json.
-        version: Version string (e.g., "1.10.0").
+        version: Version string (e.g., "1.10.1b1").

    Returns:
        True if docs.json was updated, False otherwise.
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -146,9 +146,13 @@ python_functions = "test_*"

 # composio-core pins rich<14 but textual requires rich>=14.
 # onnxruntime 1.24+ dropped Python 3.10 wheels; cap it so qdrant[fastembed] resolves on 3.10.
+# fastembed 0.7.x and docling 2.63 cap pillow<12; the removed APIs don't affect them.
+# langchain-core 0.3.76 has a template-injection vuln (GHSA); force >=0.3.80.
 override-dependencies = [
    "rich>=13.7.1",
    "onnxruntime<1.24; python_version < '3.11'",
+    "pillow>=12.1.1",
+    "langchain-core>=0.3.80,<1",
 ]

 [tool.uv.workspace]
--- a/uv.lock
+++ b/uv.lock
@@ -20,7 +20,9 @@ members = [
    "crewai-tools",
 ]
 overrides = [
+    { name = "langchain-core", specifier = ">=0.3.80,<1" },
    { name = "onnxruntime", marker = "python_full_version < '3.11'", specifier = "<1.24" },
+    { name = "pillow", specifier = ">=12.1.1" },
    { name = "rich", specifier = ">=13.7.1" },
 ]

@@ -1194,7 +1196,7 @@ requires-dist = [
    { name = "click", specifier = "~=8.1.7" },
    { name = "crewai-files", marker = "extra == 'file-processing'", editable = "lib/crewai-files" },
    { name = "crewai-tools", marker = "extra == 'tools'", editable = "lib/crewai-tools" },
-    { name = "docling", marker = "extra == 'docling'", specifier = "~=2.63.0" },
+    { name = "docling", marker = "extra == 'docling'", specifier = "~=2.75.0" },
    { name = "google-genai", marker = "extra == 'google-genai'", specifier = "~=1.49.0" },
    { name = "httpx", specifier = "~=0.28.1" },
    { name = "httpx-auth", marker = "extra == 'a2a'", specifier = "~=0.23.1" },
@@ -1273,8 +1275,8 @@ requires-dist = [
    { name = "aiocache", specifier = "~=0.12.3" },
    { name = "aiofiles", specifier = "~=24.1.0" },
    { name = "av", specifier = "~=13.0.0" },
-    { name = "pillow", specifier = "~=10.4.0" },
-    { name = "pypdf", specifier = "~=4.0.0" },
+    { name = "pillow", specifier = "~=12.1.1" },
+    { name = "pypdf", specifier = "~=6.7.4" },
    { name = "python-magic", specifier = ">=0.4.27" },
    { name = "tinytag", specifier = "~=1.10.0" },
 ]
@@ -1676,12 +1678,13 @@ wheels = [

 [[package]]
 name = "docling"
-version = "2.63.0"
+version = "2.75.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "accelerate" },
    { name = "beautifulsoup4" },
    { name = "certifi" },
+    { name = "defusedxml" },
    { name = "docling-core", extra = ["chunking"] },
    { name = "docling-ibm-models" },
    { name = "docling-parse" },
@@ -1708,16 +1711,17 @@ dependencies = [
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    { name = "typer" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/77/0b/8ea363fd3c8bb4facb8d3c37aebfe7ad5265fecc1c6bd40f979d1f6179ba/docling-2.75.0.tar.gz", hash = "sha256:1b0a77766e201e5e2d118e236c006f3814afcea2e13726fb3c7389d666a56622", size = 364929, upload-time = "2026-02-24T20:18:04.896Z" }
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+    { url = "https://files.pythonhosted.org/packages/b8/85/5c6885547ce5cde33af43201e3b2b04cf2360e6854abc07485f54b8d265d/docling-2.75.0-py3-none-any.whl", hash = "sha256:6e156f0326edb6471fc076e978ac64f902f54aac0da13cf89df456013e377bcc", size = 396243, upload-time = "2026-02-24T20:18:03.57Z" },
 ]

 [[package]]
 name = "docling-core"
-version = "2.63.0"
+version = "2.66.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
+    { name = "defusedxml" },
    { name = "jsonref" },
    { name = "jsonschema" },
    { name = "latex2mathml" },
@@ -1729,9 +1733,9 @@ dependencies = [
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 ]
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+    { url = "https://files.pythonhosted.org/packages/2a/df/6983118cb33e5ce166592945bb473a2b7c60865a9ba661c1d462cfd2c356/docling_core-2.66.0-py3-none-any.whl", hash = "sha256:5f6cf447ca4f50c27531bd15ea1d16c3a811fbfe22e0107207711561520fb316", size = 241133, upload-time = "2026-02-26T10:46:55.021Z" },
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 [package.optional-dependencies]
@@ -1771,7 +1775,7 @@ wheels = [

 [[package]]
 name = "docling-parse"
-version = "4.7.3"
+version = "5.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "docling-core" },
@@ -1780,25 +1784,24 @@ dependencies = [
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 ]
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 [[package]]
Author	SHA1	Message	Date
Devin AI	b585f205be	fix: remove sorted() calls to avoid shared-task mutation issues Reverts the defensive sorted() by _execution_index added in the previous commit. Bugbot correctly identified two issues: 1. None fallback to 0 would move unstamped tasks to the front 2. Shared task objects across crews would get corrupted indices The _execution_index field remains as an observable contract for tests and documentation. List iteration order (Python list semantics) is the actual runtime enforcement — which was already deterministic. Co-Authored-By: João <joao@crewai.com>	2026-03-01 16:43:01 +00:00
Devin AI	9e18f4855a	fix: address review comments - add runtime enforcement and remove unused code - Remove unused 'import asyncio' from test file - Remove unused 'original_execute_sync' variable from test - Add defensive sorted() by _execution_index in _execute_tasks and _aexecute_tasks so the field is actively used at runtime, not just metadata Co-Authored-By: João <joao@crewai.com>	2026-03-01 16:34:08 +00:00
Devin AI	62bdc0f3b2	fix: enforce deterministic ordering for equal-priority crew tasks Stamp each task with a stable _execution_index at crew-construction time to lock insertion order as the deterministic tie-break contract. - Add _execution_index PrivateAttr to Task - Add stamp_execution_order model_validator to Crew - Update _execute_tasks and _aexecute_tasks docstrings with ordering contract - Add comprehensive regression tests Closes #4664 Co-Authored-By: João <joao@crewai.com>	2026-03-01 16:27:15 +00:00
Greyson LaLonde	1ac5801578	fix: inject tool errors as observations and resolve name collisions Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Mark stale issues and pull requests / stale (push) Has been cancelled Details	2026-03-01 00:46:04 -05:00
Matt Aitchison	c00a348837	fix: upgrade pypdf 4.x → 6.7.4 to resolve 11 Dependabot alerts Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Build uv cache / build-cache (3.10) (push) Has been cancelled Details Build uv cache / build-cache (3.11) (push) Has been cancelled Details Build uv cache / build-cache (3.12) (push) Has been cancelled Details Build uv cache / build-cache (3.13) (push) Has been cancelled Details pypdf <6.7.4 has multiple DoS vulnerabilities via crafted PDF streams (FlateDecode, LZWDecode, RunLengthDecode, XFA, TreeObject, outlines). Only basic PdfReader/PdfWriter APIs are used in crewai-files, none of which changed in the 5.0 or 6.0 breaking releases.	2026-02-28 17:16:45 -05:00
Matt Aitchison	6c8c6c8e12	fix: resolve critical/high Dependabot security alerts (#4652 ) Upgrade pillow 10.4.0 → 12.1.1 (out-of-bounds write on PSD images), langchain-core 0.3.76 → 0.3.83 (template injection), and urllib3 2.6.1 → 2.6.3 (decompression-bomb bypass on redirects). Bump docling ~=2.63.0 → ~=2.75.0 for pillow 12 compat, and add uv overrides for pillow/langchain-core to unblock transitive pins from fastembed and langchain-apify.	2026-02-28 13:04:35 -06:00
Musthaq Ahamad	3899910aa9	docs: sync Composio tool docs across locales (#4639 ) Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Check Documentation Broken Links / Check broken links (push) Has been cancelled Details Mark stale issues and pull requests / stale (push) Has been cancelled Details Build uv cache / build-cache (3.10) (push) Has been cancelled Details Build uv cache / build-cache (3.11) (push) Has been cancelled Details Build uv cache / build-cache (3.12) (push) Has been cancelled Details Build uv cache / build-cache (3.13) (push) Has been cancelled Details * docs: update Composio tool docs across locales Align the Composio automation docs with the new session-based example flow and keep localized pages in sync with the updated English content. Made-with: Cursor * docs: clarify manual user authentication wording Refine the Composio auth section language to reflect session-based automatic auth during agent chat while keeping the manual `authorize` flow explicit. Made-with: Cursor * docs: sync updated Composio auth wording across locales Propagate the latest English wording updates for CrewAI provider initialization and manual user authentication guidance to pt-BR and ko docs. Made-with: Cursor	2026-02-27 13:38:45 -08:00
Greyson LaLonde	757a435ee3	chore: update changelog and version for v1.10.1a1 Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Check Documentation Broken Links / Check broken links (push) Has been cancelled Details	2026-02-27 09:58:48 -05:00
Greyson LaLonde	8bfdb188f7	feat: bump versions to 1.10.1a1	2026-02-27 09:44:47 -05:00
João Moura	1bdb9496a3	refactor: update step callback methods to support asynchronous invocation (#4633 ) * refactor: update step callback methods to support asynchronous invocation - Replaced synchronous step callback invocations with asynchronous counterparts in the CrewAgentExecutor class. - Introduced a new async method _ainvoke_step_callback to handle step callbacks in an async context, improving responsiveness and performance in asynchronous workflows. * chore: bump version to 1.10.1b1 across multiple files - Updated version strings from 1.10.1b to 1.10.1b1 in various project files including pyproject.toml and __init__.py files. - Adjusted dependency specifications to reflect the new version in relevant templates and modules.	2026-02-27 07:35:03 -03:00
Joao Moura	979aa26c3d	bump new alpha version	2026-02-27 01:43:33 -08:00
João Moura	514c082882	refactor: implement lazy loading for heavy dependencies in Memory module (#4632 ) Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Check Documentation Broken Links / Check broken links (push) Has been cancelled Details Mark stale issues and pull requests / stale (push) Has been cancelled Details - Introduced lazy imports for the Memory and EncodingFlow classes to optimize import time and reduce initial load, particularly beneficial for deployment scenarios like Celery pre-fork. - Updated the Memory class to include new configuration options for aggregation queries, enhancing its functionality. - Adjusted the __getattr__ method in both the crewai and memory modules to support lazy loading of specified attributes.	2026-02-27 03:20:02 -03:00
Greyson LaLonde	c9e8068578	docs: update changelog and version for v1.10.0	2026-02-26 19:14:25 -05:00