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Author SHA1 Message Date
lorenzejay
00342c405f Merge branch 'main' of github.com:crewAIInc/crewAI into lorenze/crewai-create-tool-cli 2025-07-09 14:06:55 -07:00
Lorenze Jay
7b0f3aabd9 chore: update crewAI and dependencies to version 0.141.0 and 0.51.0 (#3128)
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- Bump crewAI version to 0.141.0 in __init__.py for alignment with updated dependencies.
- Update `crewai-tools` dependency version to 0.51.0 in pyproject.toml and related template files.
- Add new testing dependencies: pytest-split and pytest-xdist for improved test execution.
- Ensure compatibility with the latest package versions in uv.lock and template files.
2025-07-09 10:37:06 -07:00
lorenzejay
323027e597 Merge branch 'main' of github.com:crewAIInc/crewAI into lorenze/crewai-create-tool-cli 2025-07-08 13:35:06 -07:00
lorenzejay
6d6cdc7844 feat: extend create command to support tool creation
Updated the CLI to allow the creation of tools in addition to crews and flows. The command now accepts a new argument type "tool" and includes appropriate error handling for invalid types. This enhancement improves the flexibility of the CLI for users managing various components.
2025-07-08 13:31:45 -07:00
Lucas Gomide
f071966951 docs: add docs about Agent.kickoff usage (#3121)
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Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
2025-07-08 16:15:40 -04:00
Lucas Gomide
318310bb7a docs: add docs about Agent repository (#3122) 2025-07-08 15:56:08 -04:00
10 changed files with 169 additions and 17 deletions

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@@ -526,6 +526,103 @@ agent = Agent(
The context window management feature works automatically in the background. You don't need to call any special functions - just set `respect_context_window` to your preferred behavior and CrewAI handles the rest!
</Note>
## Direct Agent Interaction with `kickoff()`
Agents can be used directly without going through a task or crew workflow using the `kickoff()` method. This provides a simpler way to interact with an agent when you don't need the full crew orchestration capabilities.
### How `kickoff()` Works
The `kickoff()` method allows you to send messages directly to an agent and get a response, similar to how you would interact with an LLM but with all the agent's capabilities (tools, reasoning, etc.).
```python Code
from crewai import Agent
from crewai_tools import SerperDevTool
# Create an agent
researcher = Agent(
role="AI Technology Researcher",
goal="Research the latest AI developments",
tools=[SerperDevTool()],
verbose=True
)
# Use kickoff() to interact directly with the agent
result = researcher.kickoff("What are the latest developments in language models?")
# Access the raw response
print(result.raw)
```
### Parameters and Return Values
| Parameter | Type | Description |
| :---------------- | :---------------------------------- | :------------------------------------------------------------------------ |
| `messages` | `Union[str, List[Dict[str, str]]]` | Either a string query or a list of message dictionaries with role/content |
| `response_format` | `Optional[Type[Any]]` | Optional Pydantic model for structured output |
The method returns a `LiteAgentOutput` object with the following properties:
- `raw`: String containing the raw output text
- `pydantic`: Parsed Pydantic model (if a `response_format` was provided)
- `agent_role`: Role of the agent that produced the output
- `usage_metrics`: Token usage metrics for the execution
### Structured Output
You can get structured output by providing a Pydantic model as the `response_format`:
```python Code
from pydantic import BaseModel
from typing import List
class ResearchFindings(BaseModel):
main_points: List[str]
key_technologies: List[str]
future_predictions: str
# Get structured output
result = researcher.kickoff(
"Summarize the latest developments in AI for 2025",
response_format=ResearchFindings
)
# Access structured data
print(result.pydantic.main_points)
print(result.pydantic.future_predictions)
```
### Multiple Messages
You can also provide a conversation history as a list of message dictionaries:
```python Code
messages = [
{"role": "user", "content": "I need information about large language models"},
{"role": "assistant", "content": "I'd be happy to help with that! What specifically would you like to know?"},
{"role": "user", "content": "What are the latest developments in 2025?"}
]
result = researcher.kickoff(messages)
```
### Async Support
An asynchronous version is available via `kickoff_async()` with the same parameters:
```python Code
import asyncio
async def main():
result = await researcher.kickoff_async("What are the latest developments in AI?")
print(result.raw)
asyncio.run(main())
```
<Note>
The `kickoff()` method uses a `LiteAgent` internally, which provides a simpler execution flow while preserving all of the agent's configuration (role, goal, backstory, tools, etc.).
</Note>
## Important Considerations and Best Practices
### Security and Code Execution

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@@ -40,7 +40,7 @@ This installs the tool and adds it to `pyproject.toml`.
To create a new tool project:
```bash
crewai tool create <tool-name>
crewai create tool <tool-name>
```
This generates a scaffolded tool project locally.
@@ -95,7 +95,7 @@ Deletion is permanent. Deleted tools cannot be restored or re-installed.
## Security Checks
Every published version undergoes automated security checks, and are only available to install after they pass.
Every published version undergoes automated security checks, and are only available to install after they pass.
You can check the security check status of a tool at:

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@@ -40,7 +40,7 @@ Isso instala a ferramenta e a adiciona ao `pyproject.toml`.
Para criar um novo projeto de ferramenta:
```bash
crewai tool create <nome-da-ferramenta>
crewai create tool <nome-da-ferramenta>
```
Isso gera um projeto de ferramenta estruturado localmente.
@@ -104,4 +104,4 @@ Você pode verificar o status das verificações de segurança de uma ferramenta
<Card title="Precisa de ajuda?" icon="headset" href="mailto:support@crewai.com">
Entre em contato com nossa equipe de suporte para assistência com integração de API ou resolução de problemas.
</Card>
</Card>

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@@ -47,7 +47,7 @@ Documentation = "https://docs.crewai.com"
Repository = "https://github.com/crewAIInc/crewAI"
[project.optional-dependencies]
tools = ["crewai-tools~=0.49.0"]
tools = ["crewai-tools~=0.51.0"]
embeddings = [
"tiktoken~=0.8.0"
]

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@@ -54,7 +54,7 @@ def _track_install_async():
_track_install_async()
__version__ = "0.140.0"
__version__ = "0.141.0"
__all__ = [
"Agent",
"Crew",

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@@ -33,18 +33,21 @@ def crewai():
@crewai.command()
@click.argument("type", type=click.Choice(["crew", "flow"]))
@click.argument("type", type=click.Choice(["crew", "flow", "tool"]))
@click.argument("name")
@click.option("--provider", type=str, help="The provider to use for the crew")
@click.option("--skip_provider", is_flag=True, help="Skip provider validation")
def create(type, name, provider, skip_provider=False):
"""Create a new crew, or flow."""
"""Create a new crew, flow, or tool."""
if type == "crew":
create_crew(name, provider, skip_provider)
elif type == "flow":
create_flow(name)
elif type == "tool":
tool_cmd = ToolCommand()
tool_cmd.create(name)
else:
click.secho("Error: Invalid type. Must be 'crew' or 'flow'.", fg="red")
click.secho("Error: Invalid type. Must be 'crew', 'flow', or 'tool'.", fg="red")
@crewai.command()
@@ -357,7 +360,7 @@ def chat():
and using the Chat LLM to generate responses.
"""
click.secho(
"\nStarting a conversation with the Crew\n" "Type 'exit' or Ctrl+C to quit.\n",
"\nStarting a conversation with the Crew\nType 'exit' or Ctrl+C to quit.\n",
)
run_chat()

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@@ -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]>=0.140.0,<1.0.0"
"crewai[tools]>=0.141.0,<1.0.0"
]
[project.scripts]

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@@ -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]>=0.140.0,<1.0.0",
"crewai[tools]>=0.141.0,<1.0.0",
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
readme = "README.md"
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]>=0.140.0"
"crewai[tools]>=0.141.0"
]
[tool.crewai]

60
uv.lock generated
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@@ -746,8 +746,10 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-randomly" },
{ name = "pytest-recording" },
{ name = "pytest-split" },
{ name = "pytest-subprocess" },
{ name = "pytest-timeout" },
{ name = "pytest-xdist" },
{ name = "python-dotenv" },
{ name = "ruff" },
]
@@ -760,7 +762,7 @@ requires-dist = [
{ name = "blinker", specifier = ">=1.9.0" },
{ name = "chromadb", specifier = ">=0.5.23" },
{ name = "click", specifier = ">=8.1.7" },
{ name = "crewai-tools", marker = "extra == 'tools'", specifier = "~=0.49.0" },
{ name = "crewai-tools", marker = "extra == 'tools'", specifier = "~=0.51.0" },
{ name = "docling", marker = "extra == 'docling'", specifier = ">=2.12.0" },
{ name = "instructor", specifier = ">=1.3.3" },
{ name = "json-repair", specifier = "==0.25.2" },
@@ -801,15 +803,17 @@ dev = [
{ name = "pytest-asyncio", specifier = ">=0.23.7" },
{ name = "pytest-randomly", specifier = ">=3.16.0" },
{ name = "pytest-recording", specifier = ">=0.13.2" },
{ name = "pytest-split", specifier = ">=0.9.0" },
{ name = "pytest-subprocess", specifier = ">=1.5.2" },
{ name = "pytest-timeout", specifier = ">=2.3.1" },
{ name = "pytest-xdist", specifier = ">=3.6.1" },
{ name = "python-dotenv", specifier = ">=1.0.0" },
{ name = "ruff", specifier = ">=0.8.2" },
]
[[package]]
name = "crewai-tools"
version = "0.49.0"
version = "0.51.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "chromadb" },
@@ -825,9 +829,9 @@ dependencies = [
{ name = "requests" },
{ name = "tiktoken" },
]
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