chore: verify benchmark path bug false positive

fix: inject tool errors as observations and resolve name collisions
fix: upgrade pypdf 4.x → 6.7.4 to resolve 11 Dependabot alerts
2026-04-27 21:32:36 +00:00 · 2026-03-01 09:34:29 +00:00 · 2026-03-01 00:46:04 -05:00 · 2026-02-28 17:16:45 -05:00 · 2026-02-28 13:04:35 -06:00 · 2026-02-27 13:38:45 -08:00
30 changed files with 601 additions and 374 deletions
--- a/docs/en/changelog.mdx
+++ b/docs/en/changelog.mdx
@@ -4,6 +4,56 @@ 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
--- 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
+```python
-composio add github
+session = composio.create(
-```
+    user_id="your-user-id",
-```python Code
+    toolkits=["gmail", "github"] # optional, default is all toolkits
-request = toolset.initiate_connection(app=App.GITHUB)
+)
-print(f"Open this URL to authenticate: {request.redirectUrl}")
+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 +4,56 @@ 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
--- 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
+```python
-composio add github
+session = composio.create(
-```
+    user_id="your-user-id",
-```python Code
+    toolkits=["gmail", "github"] # optional, default is all toolkits
-request = toolset.initiate_connection(app=App.GITHUB)
+)
-print(f"Open this URL to authenticate: {request.redirectUrl}")
+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 +4,56 @@ 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
--- 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
+```python
-composio add github
+session = composio.create(
-```
+    user_id="your-user-id",
-```python Code
+    toolkits=["gmail", "github"] # optional, default is all toolkits
-request = toolset.initiate_connection(app=App.GITHUB)
+)
-print(f"Open this URL to authenticate: {request.redirectUrl}")
+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
@@ -8,12 +8,12 @@ authors = [
 ]
 requires-python = ">=3.10, <3.14"
 dependencies = [
-    "Pillow~=10.4.0",
+    "Pillow~=12.1.1",
-    "pypdf~=4.0.0",
+    "pypdf~=6.7.4",
    "python-magic>=0.4.27",
    "aiocache~=0.12.3",
    "aiofiles~=24.1.0",
-    "tinytag~=1.10.1a",
+    "tinytag~=1.10.0",
    "av~=13.0.0",
 ]
--- 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__ = "1.10.1a"
+__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==1.10.1a",
+    "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__ = "1.10.1a"
+__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==1.10.1a",
+    "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__ = "1.10.1a"
+__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(
+        openai_tools, available_functions, self._tool_name_mapping = (
-            self.original_tools
+            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] = {}
+        original_tools_by_name: dict[str, Any] = dict(self._tool_name_mapping)
        for tool in self.original_tools or []:
            original_tools_by_name[sanitize_tool_name(tool.name)] = tool
        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 original_tool is not None:
-            if sanitize_tool_name(structured.name) == func_name:
+            for structured in self.tools or []:
-                structured_tool = structured
+                if getattr(structured, "_original_tool", None) is original_tool:
-                break
+                    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(
+        openai_tools, available_functions, self._tool_name_mapping = (
-            self.original_tools
+            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]==1.10.1a"
+    "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]==1.10.1a"
+    "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]==1.10.1a"
+    "crewai[tools]==1.10.1a1"
 ]
 [tool.crewai]
--- 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
+            error_observation = f"\nObservation: Error executing tool: {e}"
-            result = self._handle_agent_action(action, tool_result)
+            action.text += error_observation
-            self.state.current_answer = result
+            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:
+        result = self._handle_agent_action(action, tool_result)
-            error_text = Text()
+        self.state.current_answer = result
-            error_text.append("❌ Error in tool execution: ", style="red bold")
+
-            error_text.append(str(e), style="red")
+        self._invoke_step_callback(result)
-            self._console.print(error_text)
+
-            raise
+        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
+            mapping = getattr(self, "_tool_name_mapping", None)
-            for tool in self.original_tools or []:
+            original_tool: BaseTool | None = None
-                if sanitize_tool_name(tool.name) == func_name:
+            if mapping and func_name in mapping:
-                    original_tool = tool
+                mapped = mapping[func_name]
-                    break
+                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: BaseTool | None = None
-        original_tool = None
+        mapping = getattr(self, "_tool_name_mapping", None)
-        for tool in self.original_tools or []:
+        if mapping and func_name in mapping:
-            if sanitize_tool_name(tool.name) == func_name:
+            mapped = mapping[func_name]
-                original_tool = tool
+            if isinstance(mapped, BaseTool):
-                break
+                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 original_tool is not None:
-            if sanitize_tool_name(structured.name) == func_name:
+            for structured in self.tools or []:
-                structured_tool = structured
+                if getattr(structured, "_original_tool", None) is original_tool:
-                break
+                    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).
+        if isinstance(storage, str):
-        self._storage: StorageBackend
+            from crewai.memory.storage.lancedb_storage import LanceDBStorage
-        if storage == "lancedb":
+
-            self._storage = LanceDBStorage()
+            self._storage = LanceDBStorage() if storage == "lancedb" else LanceDBStorage(path=storage)
        elif isinstance(storage, str):
            self._storage = LanceDBStorage(path=storage)
        else:
            self._storage = storage
--- 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
+        - Dict mapping sanitized tool names to their callable run() methods
-
+        - Dict mapping sanitized tool names to their original tool objects
    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)
    """
    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/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__ = "1.10.1a"
+__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., "1.10.1a").
+        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 = "pillow", specifier = "~=12.1.1" },
-    { name = "pypdf", specifier = "~=4.0.0" },
+    { 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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 ]
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 wheels = [
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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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+    { 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 = [
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@@ -1780,25 +1784,24 @@ dependencies = [
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 ]
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Author	SHA1	Message	Date
Cursor Agent	eeb8120784	chore: verify benchmark path bug false positive	2026-03-01 09:34:29 +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
`@@ -1,3 +1,3 @@`
	`"""CrewAI development tools."""`	`"""CrewAI development tools."""`

	`__version__ = "1.10.1a"`	`__version__ = "1.10.1a1"`