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Author SHA1 Message Date
Greyson LaLonde
21224f2bc5 fix: conditionally pass plus header
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Empty strings are considered illegal values for bearer auth in `httpx`.
2026-03-02 09:27:54 -05:00
Giulio Leone
b76022c1e7 fix(telemetry): skip signal handler registration in non-main threads
* fix(telemetry): skip signal handler registration in non-main threads

When CrewAI is initialized from a non-main thread (e.g. Streamlit, Flask,
Django, Jupyter), the telemetry module attempted to register signal handlers
which only work in the main thread. This caused multiple noisy ValueError
tracebacks to be printed to stderr, confusing users even though the errors
were caught and non-fatal.

Check `threading.current_thread() is not threading.main_thread()` before
attempting signal registration, and skip silently with a debug-level log
message instead of printing full tracebacks.

Fixes crewAIInc/crewAI#4289

* fix(test): move Telemetry() inside signal.signal mock context

Refs: #4649

* fix(telemetry): move signal.signal mock inside thread to wrap Telemetry() construction

The patch context now activates inside init_in_thread so the mock
is guaranteed to be active before and during Telemetry.__init__,
addressing the Copilot review feedback.

Refs: #4289

* fix(test): mock logger.debug instead of capsys for deterministic assertion

Replace signal.signal-only mock with combined logger + signal mock.
Assert logger.debug was called with the skip message and signal.signal
was never invoked from the non-main thread.

Refs: #4289
2026-03-02 07:42:55 -05:00
Greyson LaLonde
1ac5801578 fix: inject tool errors as observations and resolve name collisions
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2026-03-01 00:46:04 -05:00
Matt Aitchison
c00a348837 fix: upgrade pypdf 4.x → 6.7.4 to resolve 11 Dependabot alerts
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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)
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* 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
21 changed files with 412 additions and 439 deletions

View File

@@ -1,37 +0,0 @@
name: PR Size Check
on:
pull_request:
types: [opened, synchronize, reopened]
jobs:
pr-size:
runs-on: ubuntu-latest
permissions:
pull-requests: write
steps:
- uses: codelytv/pr-size-labeler@v1
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
xs_label: "size/XS"
xs_max_size: 25
s_label: "size/S"
s_max_size: 100
m_label: "size/M"
m_max_size: 250
l_label: "size/L"
l_max_size: 500
xl_label: "size/XL"
fail_if_xl: true
message_if_xl: >
This PR exceeds 500 lines changed and has been labeled `size/XL`.
PRs of this size require release manager approval to merge.
Please consider splitting into smaller PRs, or add a justification
in the PR description for why this cannot be broken up.
files_to_ignore: |
uv.lock
*.lock
lib/crewai/src/crewai/cli/templates/**
**/*.json
**/test_durations/**
**/cassettes/**

View File

@@ -1,38 +0,0 @@
name: PR Title Check
on:
pull_request:
types: [opened, edited, synchronize, reopened]
jobs:
pr-title:
runs-on: ubuntu-latest
steps:
- uses: amannn/action-semantic-pull-request@v5
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
types: |
feat
fix
refactor
perf
test
docs
chore
ci
style
revert
requireScope: false
subjectPattern: ^[a-z].+[^.]$
subjectPatternError: >
The PR title "{title}" does not follow conventional commit format.
Expected: <type>(<scope>): <lowercase description without trailing period>
Examples:
feat(memory): add lancedb storage backend
fix(agents): resolve deadlock in concurrent execution
chore(deps): bump pydantic to 2.11.9
See RELEASE_PROCESS.md for the full commit message convention.

View File

@@ -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)

View File

@@ -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 가져오
3. 사용자 수동 인증하
- 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 확인 수 있습니다.

View File

@@ -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)

View File

@@ -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",

View File

@@ -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",

View File

@@ -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(
@@ -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:

View File

@@ -22,14 +22,15 @@ class PlusAPI:
EPHEMERAL_TRACING_RESOURCE = "/crewai_plus/api/v1/tracing/ephemeral"
INTEGRATIONS_RESOURCE = "/crewai_plus/api/v1/integrations"
def __init__(self, api_key: str) -> None:
def __init__(self, api_key: str | None = None) -> None:
self.api_key = api_key
self.headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"User-Agent": f"CrewAI-CLI/{get_crewai_version()}",
"X-Crewai-Version": get_crewai_version(),
}
if api_key:
self.headers["Authorization"] = f"Bearer {api_key}"
settings = Settings()
if settings.org_uuid:
self.headers["X-Crewai-Organization-Id"] = settings.org_uuid

View File

@@ -67,7 +67,7 @@ class TraceBatchManager:
api_key=get_auth_token(),
)
except AuthError:
self.plus_api = PlusAPI(api_key="")
self.plus_api = PlusAPI()
self.ephemeral_trace_url = None
def initialize_batch(

View File

@@ -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(

View File

@@ -173,6 +173,12 @@ class Telemetry:
self._original_handlers: dict[int, Any] = {}
if threading.current_thread() is not threading.main_thread():
logger.debug(
"Skipping signal handler registration: not running in main thread"
)
return
self._register_signal_handler(signal.SIGTERM, SigTermEvent, shutdown=True)
self._register_signal_handler(signal.SIGINT, SigIntEvent, shutdown=True)
if hasattr(signal, "SIGHUP"):

View File

@@ -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

View File

@@ -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,

View File

@@ -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:

View File

@@ -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

View File

@@ -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",

View File

@@ -121,3 +121,41 @@ def test_telemetry_singleton_pattern():
thread.join()
assert all(instance is telemetry1 for instance in instances)
def test_no_signal_handler_traceback_in_non_main_thread():
"""Signal handler registration should be silently skipped in non-main threads.
Regression test for https://github.com/crewAIInc/crewAI/issues/4289
"""
errors: list[Exception] = []
mock_holder: dict = {}
def init_in_thread():
try:
Telemetry._instance = None
with (
patch.dict(
os.environ,
{"CREWAI_DISABLE_TELEMETRY": "false", "OTEL_SDK_DISABLED": "false"},
),
patch("crewai.telemetry.telemetry.TracerProvider"),
patch("signal.signal") as mock_signal,
patch("crewai.telemetry.telemetry.logger") as mock_logger,
):
Telemetry()
mock_holder["signal"] = mock_signal
mock_holder["logger"] = mock_logger
except Exception as exc:
errors.append(exc)
thread = threading.Thread(target=init_in_thread)
thread.start()
thread.join()
assert not errors, f"Unexpected error: {errors}"
assert mock_holder, "Thread did not execute"
mock_holder["signal"].assert_not_called()
mock_holder["logger"].debug.assert_any_call(
"Skipping signal handler registration: not running in main thread"
)

View File

@@ -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"]

View File

@@ -142,29 +142,17 @@ python_files = "test_*.py"
python_classes = "Test*"
python_functions = "test_*"
[tool.commitizen]
name = "cz_conventional_commits"
version_provider = "scm"
tag_format = "$version"
allowed_prefixes = ["Merge", "Revert"]
changelog_incremental = true
update_changelog_on_bump = false
[tool.commitizen.customize]
schema = "<type>(<scope>): <description>"
schema_pattern = "^(feat|fix|refactor|perf|test|docs|chore|ci|style|revert)(\\(.+\\))?!?: .{1,72}"
bump_pattern = "^(feat|fix|perf|refactor|revert)"
bump_map = { feat = "MINOR", fix = "PATCH", perf = "PATCH", refactor = "PATCH", revert = "PATCH" }
info = "Commits must follow Conventional Commits 1.0.0. See RELEASE_PROCESS.md for details."
[tool.uv]
# 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]

201
uv.lock generated
View File

@@ -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 = [
{ name = "tqdm" },
{ name = "typer" },
]
sdist = { url = "https://files.pythonhosted.org/packages/18/c4/a8b7c66f0902ed4d0bcd87db94d3929539ac5fdff5325978744b30bee6b1/docling-2.63.0.tar.gz", hash = "sha256:5592c25e986ebf58811bcbfdbc8217d1a2074638b5412364968a1f1482994cc8", size = 250895, upload-time = "2025-11-20T14:43:53.131Z" }
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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