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feat/impro
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fix-cli
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@@ -351,7 +351,7 @@ pre-commit install
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### Running Tests
|
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|
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```bash
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uv run pytest .
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uvx pytest
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```
|
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|
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### Running static type checks
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|
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@@ -31,17 +31,16 @@ Think of an agent as a member of a team, with specific skills and a particular j
|
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| **Max RPM** *(optional)* | `max_rpm` | Max RPM is the maximum number of requests per minute the agent can perform to avoid rate limits. It's optional and can be left unspecified, with a default value of `None`. |
|
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| **Max Execution Time** *(optional)* | `max_execution_time` | Max Execution Time is the maximum execution time for an agent to execute a task. It's optional and can be left unspecified, with a default value of `None`, meaning no max execution time. |
|
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| **Verbose** *(optional)* | `verbose` | Setting this to `True` configures the internal logger to provide detailed execution logs, aiding in debugging and monitoring. Default is `False`. |
|
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| **Allow Delegation** *(optional)* | `allow_delegation` | Agents can delegate tasks or questions to one another, ensuring that each task is handled by the most suitable agent. Default is `False`. |
|
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| **Allow Delegation** *(optional)* | `allow_delegation` | Agents can delegate tasks or questions to one another, ensuring that each task is handled by the most suitable agent. Default is `False`.
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| **Step Callback** *(optional)* | `step_callback` | A function that is called after each step of the agent. This can be used to log the agent's actions or to perform other operations. It will overwrite the crew `step_callback`. |
|
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| **Cache** *(optional)* | `cache` | Indicates if the agent should use a cache for tool usage. Default is `True`. |
|
||||
| **System Template** *(optional)* | `system_template` | Specifies the system format for the agent. Default is `None`. |
|
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| **Prompt Template** *(optional)* | `prompt_template` | Specifies the prompt format for the agent. Default is `None`. |
|
||||
| **Response Template** *(optional)* | `response_template` | Specifies the response format for the agent. Default is `None`. |
|
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| **Allow Code Execution** *(optional)* | `allow_code_execution` | Enable code execution for the agent. Default is `False`. |
|
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| **Max Retry Limit** *(optional)* | `max_retry_limit` | Maximum number of retries for an agent to execute a task when an error occurs. Default is `2`. |
|
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| **Max Retry Limit** *(optional)* | `max_retry_limit` | Maximum number of retries for an agent to execute a task when an error occurs. Default is `2`.
|
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| **Use System Prompt** *(optional)* | `use_system_prompt` | Adds the ability to not use system prompt (to support o1 models). Default is `True`. |
|
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| **Respect Context Window** *(optional)* | `respect_context_window` | Summary strategy to avoid overflowing the context window. Default is `True`. |
|
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| **Code Execution Mode** *(optional)* | `code_execution_mode` | Determines the mode for code execution: 'safe' (using Docker) or 'unsafe' (direct execution on the host machine). Default is `safe`. |
|
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|
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## Creating an agent
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|
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@@ -84,7 +83,6 @@ agent = Agent(
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max_retry_limit=2, # Optional
|
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use_system_prompt=True, # Optional
|
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respect_context_window=True, # Optional
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code_execution_mode='safe', # Optional, defaults to 'safe'
|
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)
|
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```
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|
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@@ -158,4 +156,4 @@ crew = my_crew.kickoff(inputs={"input": "Mark Twain"})
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## Conclusion
|
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|
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Agents are the building blocks of the CrewAI framework. By understanding how to define and interact with agents,
|
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you can create sophisticated AI systems that leverage the power of collaborative intelligence. The `code_execution_mode` attribute provides flexibility in how agents execute code, allowing for both secure and direct execution options.
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you can create sophisticated AI systems that leverage the power of collaborative intelligence.
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@@ -560,40 +560,6 @@ uv run kickoff
|
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|
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The flow will execute, and you should see the output in the console.
|
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|
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|
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### Adding Additional Crews Using the CLI
|
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|
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Once you have created your initial flow, you can easily add additional crews to your project using the CLI. This allows you to expand your flow's capabilities by integrating new crews without starting from scratch.
|
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|
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To add a new crew to your existing flow, use the following command:
|
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|
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```bash
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crewai flow add-crew <crew_name>
|
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```
|
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|
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This command will create a new directory for your crew within the `crews` folder of your flow project. It will include the necessary configuration files and a crew definition file, similar to the initial setup.
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|
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#### Folder Structure
|
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|
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After adding a new crew, your folder structure will look like this:
|
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|
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name_of_flow/
|
||||
├── crews/
|
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│ ├── poem_crew/
|
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│ │ ├── config/
|
||||
│ │ │ ├── agents.yaml
|
||||
│ │ │ └── tasks.yaml
|
||||
│ │ └── poem_crew.py
|
||||
│ └── name_of_crew/
|
||||
│ ├── config/
|
||||
│ │ ├── agents.yaml
|
||||
│ │ └── tasks.yaml
|
||||
│ └── name_of_crew.py
|
||||
|
||||
You can then customize the `agents.yaml` and `tasks.yaml` files to define the agents and tasks for your new crew. The `name_of_crew.py` file will contain the crew's logic, which you can modify to suit your needs.
|
||||
|
||||
By using the CLI to add additional crews, you can efficiently build complex AI workflows that leverage multiple crews working together.
|
||||
|
||||
## Plot Flows
|
||||
|
||||
Visualizing your AI workflows can provide valuable insights into the structure and execution paths of your flows. CrewAI offers a powerful visualization tool that allows you to generate interactive plots of your flows, making it easier to understand and optimize your AI workflows.
|
||||
|
||||
@@ -118,7 +118,7 @@ Alternatively, you can directly pass the OpenAIEmbeddingFunction to the embedder
|
||||
Example:
|
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```python Code
|
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from crewai import Crew, Agent, Task, Process
|
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from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
|
||||
from chromadb.utils.embedding_functions.openai_embedding_function import OpenAIEmbeddingFunction
|
||||
|
||||
my_crew = Crew(
|
||||
agents=[...],
|
||||
@@ -174,7 +174,6 @@ my_crew = Crew(
|
||||
### Using Azure OpenAI embeddings
|
||||
|
||||
```python Code
|
||||
from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
|
||||
from crewai import Crew, Agent, Task, Process
|
||||
|
||||
my_crew = Crew(
|
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@@ -183,7 +182,7 @@ my_crew = Crew(
|
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process=Process.sequential,
|
||||
memory=True,
|
||||
verbose=True,
|
||||
embedder=OpenAIEmbeddingFunction(
|
||||
embedder=embedding_functions.OpenAIEmbeddingFunction(
|
||||
api_key="YOUR_API_KEY",
|
||||
api_base="YOUR_API_BASE_PATH",
|
||||
api_type="azure",
|
||||
@@ -196,7 +195,6 @@ my_crew = Crew(
|
||||
### Using Vertex AI embeddings
|
||||
|
||||
```python Code
|
||||
from chromadb.utils.embedding_functions import GoogleVertexEmbeddingFunction
|
||||
from crewai import Crew, Agent, Task, Process
|
||||
|
||||
my_crew = Crew(
|
||||
@@ -205,7 +203,7 @@ my_crew = Crew(
|
||||
process=Process.sequential,
|
||||
memory=True,
|
||||
verbose=True,
|
||||
embedder=GoogleVertexEmbeddingFunction(
|
||||
embedder=embedding_functions.GoogleVertexEmbeddingFunction(
|
||||
project_id="YOUR_PROJECT_ID",
|
||||
region="YOUR_REGION",
|
||||
api_key="YOUR_API_KEY",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "crewai"
|
||||
version = "0.76.2"
|
||||
version = "0.75.1"
|
||||
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10,<=3.13"
|
||||
@@ -28,7 +28,6 @@ dependencies = [
|
||||
"uv>=0.4.25",
|
||||
"tomli-w>=1.1.0",
|
||||
"chromadb>=0.4.24",
|
||||
"tomli>=2.0.2",
|
||||
]
|
||||
|
||||
[project.urls]
|
||||
|
||||
@@ -14,5 +14,5 @@ warnings.filterwarnings(
|
||||
category=UserWarning,
|
||||
module="pydantic.main",
|
||||
)
|
||||
__version__ = "0.76.2"
|
||||
__version__ = "0.75.1"
|
||||
__all__ = ["Agent", "Crew", "Process", "Task", "Pipeline", "Router", "LLM", "Flow"]
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import os
|
||||
import shutil
|
||||
import subprocess
|
||||
from typing import Any, List, Literal, Optional, Union
|
||||
from inspect import signature
|
||||
from typing import Any, List, Optional, Union
|
||||
|
||||
from pydantic import Field, InstanceOf, PrivateAttr, model_validator
|
||||
|
||||
@@ -113,10 +112,6 @@ class Agent(BaseAgent):
|
||||
default=2,
|
||||
description="Maximum number of retries for an agent to execute a task when an error occurs.",
|
||||
)
|
||||
code_execution_mode: Literal["safe", "unsafe"] = Field(
|
||||
default="safe",
|
||||
description="Mode for code execution: 'safe' (using Docker) or 'unsafe' (direct execution).",
|
||||
)
|
||||
|
||||
@model_validator(mode="after")
|
||||
def post_init_setup(self):
|
||||
@@ -178,9 +173,6 @@ class Agent(BaseAgent):
|
||||
if not self.agent_executor:
|
||||
self._setup_agent_executor()
|
||||
|
||||
if self.allow_code_execution:
|
||||
self._validate_docker_installation()
|
||||
|
||||
return self
|
||||
|
||||
def _setup_agent_executor(self):
|
||||
@@ -316,9 +308,7 @@ class Agent(BaseAgent):
|
||||
try:
|
||||
from crewai_tools import CodeInterpreterTool
|
||||
|
||||
# Set the unsafe_mode based on the code_execution_mode attribute
|
||||
unsafe_mode = self.code_execution_mode == "unsafe"
|
||||
return [CodeInterpreterTool(unsafe_mode=unsafe_mode)]
|
||||
return [CodeInterpreterTool()]
|
||||
except ModuleNotFoundError:
|
||||
self._logger.log(
|
||||
"info", "Coding tools not available. Install crewai_tools. "
|
||||
@@ -394,49 +384,30 @@ class Agent(BaseAgent):
|
||||
def _render_text_description_and_args(self, tools: List[Any]) -> str:
|
||||
"""Render the tool name, description, and args in plain text.
|
||||
|
||||
Output will be in the format of:
|
||||
Output will be in the format of:
|
||||
|
||||
.. code-block:: markdown
|
||||
.. code-block:: markdown
|
||||
|
||||
search: This tool is used for search, args: {"query": {"type": "string"}}
|
||||
calculator: This tool is used for math, \
|
||||
args: {"expression": {"type": "string"}}
|
||||
args: {"expression": {"type": "string"}}
|
||||
"""
|
||||
tool_strings = []
|
||||
for tool in tools:
|
||||
args_schema = {
|
||||
name: {
|
||||
"description": field.description,
|
||||
"type": field.annotation.__name__,
|
||||
}
|
||||
for name, field in tool.args_schema.model_fields.items()
|
||||
}
|
||||
description = (
|
||||
f"Tool Name: {tool.name}\nTool Description: {tool.description}"
|
||||
)
|
||||
args_schema = str(tool.model_fields)
|
||||
if hasattr(tool, "func") and tool.func:
|
||||
sig = signature(tool.func)
|
||||
description = (
|
||||
f"Tool Name: {tool.name}{sig}\nTool Description: {tool.description}"
|
||||
)
|
||||
else:
|
||||
description = (
|
||||
f"Tool Name: {tool.name}\nTool Description: {tool.description}"
|
||||
)
|
||||
tool_strings.append(f"{description}\nTool Arguments: {args_schema}")
|
||||
|
||||
return "\n".join(tool_strings)
|
||||
|
||||
def _validate_docker_installation(self) -> None:
|
||||
"""Check if Docker is installed and running."""
|
||||
if not shutil.which("docker"):
|
||||
raise RuntimeError(
|
||||
f"Docker is not installed. Please install Docker to use code execution with agent: {self.role}"
|
||||
)
|
||||
|
||||
try:
|
||||
subprocess.run(
|
||||
["docker", "info"],
|
||||
check=True,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.PIPE,
|
||||
)
|
||||
except subprocess.CalledProcessError:
|
||||
raise RuntimeError(
|
||||
f"Docker is not running. Please start Docker to use code execution with agent: {self.role}"
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def __tools_names(tools) -> str:
|
||||
return ", ".join([t.name for t in tools])
|
||||
|
||||
@@ -1,70 +0,0 @@
|
||||
from pathlib import Path
|
||||
|
||||
import click
|
||||
|
||||
from crewai.cli.utils import copy_template
|
||||
|
||||
|
||||
def add_crew_to_flow(crew_name: str) -> None:
|
||||
"""Add a new crew to the current flow."""
|
||||
# Check if pyproject.toml exists in the current directory
|
||||
if not Path("pyproject.toml").exists():
|
||||
print("This command must be run from the root of a flow project.")
|
||||
raise click.ClickException(
|
||||
"This command must be run from the root of a flow project."
|
||||
)
|
||||
|
||||
# Determine the flow folder based on the current directory
|
||||
flow_folder = Path.cwd()
|
||||
crews_folder = flow_folder / "src" / flow_folder.name / "crews"
|
||||
|
||||
if not crews_folder.exists():
|
||||
print("Crews folder does not exist in the current flow.")
|
||||
raise click.ClickException("Crews folder does not exist in the current flow.")
|
||||
|
||||
# Create the crew within the flow's crews directory
|
||||
create_embedded_crew(crew_name, parent_folder=crews_folder)
|
||||
|
||||
click.echo(
|
||||
f"Crew {crew_name} added to the current flow successfully!",
|
||||
)
|
||||
|
||||
|
||||
def create_embedded_crew(crew_name: str, parent_folder: Path) -> None:
|
||||
"""Create a new crew within an existing flow project."""
|
||||
folder_name = crew_name.replace(" ", "_").replace("-", "_").lower()
|
||||
class_name = crew_name.replace("_", " ").replace("-", " ").title().replace(" ", "")
|
||||
|
||||
crew_folder = parent_folder / folder_name
|
||||
|
||||
if crew_folder.exists():
|
||||
if not click.confirm(
|
||||
f"Crew {folder_name} already exists. Do you want to override it?"
|
||||
):
|
||||
click.secho("Operation cancelled.", fg="yellow")
|
||||
return
|
||||
click.secho(f"Overriding crew {folder_name}...", fg="green", bold=True)
|
||||
else:
|
||||
click.secho(f"Creating crew {folder_name}...", fg="green", bold=True)
|
||||
crew_folder.mkdir(parents=True)
|
||||
|
||||
# Create config and crew.py files
|
||||
config_folder = crew_folder / "config"
|
||||
config_folder.mkdir(exist_ok=True)
|
||||
|
||||
templates_dir = Path(__file__).parent / "templates" / "crew"
|
||||
config_template_files = ["agents.yaml", "tasks.yaml"]
|
||||
crew_template_file = f"{folder_name}_crew.py" # Updated file name
|
||||
|
||||
for file_name in config_template_files:
|
||||
src_file = templates_dir / "config" / file_name
|
||||
dst_file = config_folder / file_name
|
||||
copy_template(src_file, dst_file, crew_name, class_name, folder_name)
|
||||
|
||||
src_file = templates_dir / "crew.py"
|
||||
dst_file = crew_folder / crew_template_file
|
||||
copy_template(src_file, dst_file, crew_name, class_name, folder_name)
|
||||
|
||||
click.secho(
|
||||
f"Crew {crew_name} added to the flow successfully!", fg="green", bold=True
|
||||
)
|
||||
@@ -3,7 +3,6 @@ from typing import Optional
|
||||
import click
|
||||
import pkg_resources
|
||||
|
||||
from crewai.cli.add_crew_to_flow import add_crew_to_flow
|
||||
from crewai.cli.create_crew import create_crew
|
||||
from crewai.cli.create_flow import create_flow
|
||||
from crewai.cli.create_pipeline import create_pipeline
|
||||
@@ -34,11 +33,10 @@ def crewai():
|
||||
@click.argument("type", type=click.Choice(["crew", "pipeline", "flow"]))
|
||||
@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):
|
||||
def create(type, name, provider):
|
||||
"""Create a new crew, pipeline, or flow."""
|
||||
if type == "crew":
|
||||
create_crew(name, provider, skip_provider)
|
||||
create_crew(name, provider)
|
||||
elif type == "pipeline":
|
||||
create_pipeline(name)
|
||||
elif type == "flow":
|
||||
@@ -179,16 +177,10 @@ def test(n_iterations: int, model: str):
|
||||
evaluate_crew(n_iterations, model)
|
||||
|
||||
|
||||
@crewai.command(
|
||||
context_settings=dict(
|
||||
ignore_unknown_options=True,
|
||||
allow_extra_args=True,
|
||||
)
|
||||
)
|
||||
@click.pass_context
|
||||
def install(context):
|
||||
@crewai.command()
|
||||
def install():
|
||||
"""Install the Crew."""
|
||||
install_crew(context.args)
|
||||
install_crew()
|
||||
|
||||
|
||||
@crewai.command()
|
||||
@@ -327,13 +319,5 @@ def flow_plot():
|
||||
plot_flow()
|
||||
|
||||
|
||||
@flow.command(name="add-crew")
|
||||
@click.argument("crew_name")
|
||||
def flow_add_crew(crew_name):
|
||||
"""Add a crew to an existing flow."""
|
||||
click.echo(f"Adding crew {crew_name} to the flow")
|
||||
add_crew_to_flow(crew_name)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
crewai()
|
||||
|
||||
@@ -81,84 +81,77 @@ def copy_template_files(folder_path, name, class_name, parent_folder):
|
||||
copy_template(src_file, dst_file, name, class_name, folder_path.name)
|
||||
|
||||
|
||||
def create_crew(name, provider=None, skip_provider=False, parent_folder=None):
|
||||
def create_crew(name, parent_folder=None):
|
||||
folder_path, folder_name, class_name = create_folder_structure(name, parent_folder)
|
||||
env_vars = load_env_vars(folder_path)
|
||||
if not skip_provider:
|
||||
if not provider:
|
||||
provider_models = get_provider_data()
|
||||
if not provider_models:
|
||||
return
|
||||
|
||||
existing_provider = None
|
||||
for provider, env_keys in ENV_VARS.items():
|
||||
if any(key in env_vars for key in env_keys):
|
||||
existing_provider = provider
|
||||
break
|
||||
existing_provider = None
|
||||
for provider, env_keys in ENV_VARS.items():
|
||||
if any(key in env_vars for key in env_keys):
|
||||
existing_provider = provider
|
||||
break
|
||||
|
||||
if existing_provider:
|
||||
if not click.confirm(
|
||||
f"Found existing environment variable configuration for {existing_provider.capitalize()}. Do you want to override it?"
|
||||
):
|
||||
click.secho("Keeping existing provider configuration.", fg="yellow")
|
||||
return
|
||||
|
||||
provider_models = get_provider_data()
|
||||
if not provider_models:
|
||||
if existing_provider:
|
||||
if not click.confirm(
|
||||
f"Found existing environment variable configuration for {existing_provider.capitalize()}. Do you want to override it?"
|
||||
):
|
||||
click.secho("Keeping existing provider configuration.", fg="yellow")
|
||||
return
|
||||
|
||||
while True:
|
||||
selected_provider = select_provider(provider_models)
|
||||
if selected_provider is None: # User typed 'q'
|
||||
click.secho("Exiting...", fg="yellow")
|
||||
sys.exit(0)
|
||||
if selected_provider: # Valid selection
|
||||
break
|
||||
click.secho(
|
||||
"No provider selected. Please try again or press 'q' to exit.", fg="red"
|
||||
)
|
||||
provider_models = get_provider_data()
|
||||
if not provider_models:
|
||||
return
|
||||
|
||||
while True:
|
||||
selected_model = select_model(selected_provider, provider_models)
|
||||
if selected_model is None: # User typed 'q'
|
||||
click.secho("Exiting...", fg="yellow")
|
||||
sys.exit(0)
|
||||
if selected_model: # Valid selection
|
||||
break
|
||||
click.secho(
|
||||
"No model selected. Please try again or press 'q' to exit.", fg="red"
|
||||
)
|
||||
|
||||
if selected_provider in PROVIDERS:
|
||||
api_key_var = ENV_VARS[selected_provider][0]
|
||||
else:
|
||||
api_key_var = click.prompt(
|
||||
f"Enter the environment variable name for your {selected_provider.capitalize()} API key",
|
||||
type=str,
|
||||
default="",
|
||||
)
|
||||
|
||||
api_key_value = ""
|
||||
click.echo(
|
||||
f"Enter your {selected_provider.capitalize()} API key (press Enter to skip): ",
|
||||
nl=False,
|
||||
while True:
|
||||
selected_provider = select_provider(provider_models)
|
||||
if selected_provider is None: # User typed 'q'
|
||||
click.secho("Exiting...", fg="yellow")
|
||||
sys.exit(0)
|
||||
if selected_provider: # Valid selection
|
||||
break
|
||||
click.secho(
|
||||
"No provider selected. Please try again or press 'q' to exit.", fg="red"
|
||||
)
|
||||
try:
|
||||
api_key_value = input()
|
||||
except (KeyboardInterrupt, EOFError):
|
||||
api_key_value = ""
|
||||
|
||||
if api_key_value.strip():
|
||||
env_vars = {api_key_var: api_key_value}
|
||||
write_env_file(folder_path, env_vars)
|
||||
click.secho("API key saved to .env file", fg="green")
|
||||
else:
|
||||
click.secho(
|
||||
"No API key provided. Skipping .env file creation.", fg="yellow"
|
||||
)
|
||||
while True:
|
||||
selected_model = select_model(selected_provider, provider_models)
|
||||
if selected_model is None: # User typed 'q'
|
||||
click.secho("Exiting...", fg="yellow")
|
||||
sys.exit(0)
|
||||
if selected_model: # Valid selection
|
||||
break
|
||||
click.secho(
|
||||
"No model selected. Please try again or press 'q' to exit.", fg="red"
|
||||
)
|
||||
|
||||
env_vars["MODEL"] = selected_model
|
||||
click.secho(f"Selected model: {selected_model}", fg="green")
|
||||
if selected_provider in PROVIDERS:
|
||||
api_key_var = ENV_VARS[selected_provider][0]
|
||||
else:
|
||||
api_key_var = click.prompt(
|
||||
f"Enter the environment variable name for your {selected_provider.capitalize()} API key",
|
||||
type=str,
|
||||
default="",
|
||||
)
|
||||
|
||||
api_key_value = ""
|
||||
click.echo(
|
||||
f"Enter your {selected_provider.capitalize()} API key (press Enter to skip): ",
|
||||
nl=False,
|
||||
)
|
||||
try:
|
||||
api_key_value = input()
|
||||
except (KeyboardInterrupt, EOFError):
|
||||
api_key_value = ""
|
||||
|
||||
if api_key_value.strip():
|
||||
env_vars = {api_key_var: api_key_value}
|
||||
write_env_file(folder_path, env_vars)
|
||||
click.secho("API key saved to .env file", fg="green")
|
||||
else:
|
||||
click.secho("No API key provided. Skipping .env file creation.", fg="yellow")
|
||||
|
||||
env_vars["MODEL"] = selected_model
|
||||
click.secho(f"Selected model: {selected_model}", fg="green")
|
||||
|
||||
package_dir = Path(__file__).parent
|
||||
templates_dir = package_dir / "templates" / "crew"
|
||||
|
||||
@@ -3,13 +3,12 @@ import subprocess
|
||||
import click
|
||||
|
||||
|
||||
def install_crew(proxy_options: list[str]) -> None:
|
||||
def install_crew() -> None:
|
||||
"""
|
||||
Install the crew by running the UV command to lock and install.
|
||||
"""
|
||||
try:
|
||||
command = ["uv", "sync"] + proxy_options
|
||||
subprocess.run(command, check=True, capture_output=False, text=True)
|
||||
subprocess.run(["uv", "sync"], check=True, capture_output=False, text=True)
|
||||
|
||||
except subprocess.CalledProcessError as e:
|
||||
click.echo(f"An error occurred while running the crew: {e}", err=True)
|
||||
|
||||
@@ -7,7 +7,7 @@ def plot_flow() -> None:
|
||||
"""
|
||||
Plot the flow by running a command in the UV environment.
|
||||
"""
|
||||
command = ["uv", "run", "plot"]
|
||||
command = ["uv", "run", "plot_flow"]
|
||||
|
||||
try:
|
||||
result = subprocess.run(command, capture_output=False, text=True, check=True)
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
import subprocess
|
||||
|
||||
import click
|
||||
import tomllib
|
||||
from packaging import version
|
||||
|
||||
from crewai.cli.utils import get_crewai_version, read_toml
|
||||
from crewai.cli.utils import get_crewai_version
|
||||
|
||||
|
||||
def run_crew() -> None:
|
||||
@@ -14,9 +15,10 @@ def run_crew() -> None:
|
||||
crewai_version = get_crewai_version()
|
||||
min_required_version = "0.71.0"
|
||||
|
||||
pyproject_data = read_toml()
|
||||
with open("pyproject.toml", "rb") as f:
|
||||
data = tomllib.load(f)
|
||||
|
||||
if pyproject_data.get("tool", {}).get("poetry") and (
|
||||
if data.get("tool", {}).get("poetry") and (
|
||||
version.parse(crewai_version) < version.parse(min_required_version)
|
||||
):
|
||||
click.secho(
|
||||
@@ -33,7 +35,10 @@ def run_crew() -> None:
|
||||
click.echo(f"An error occurred while running the crew: {e}", err=True)
|
||||
click.echo(e.output, err=True, nl=True)
|
||||
|
||||
if pyproject_data.get("tool", {}).get("poetry"):
|
||||
with open("pyproject.toml", "rb") as f:
|
||||
data = tomllib.load(f)
|
||||
|
||||
if data.get("tool", {}).get("poetry"):
|
||||
click.secho(
|
||||
"It's possible that you are using an old version of crewAI that uses poetry, please run `crewai update` to update your pyproject.toml to use uv.",
|
||||
fg="yellow",
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = [{ name = "Your Name", email = "you@example.com" }]
|
||||
requires-python = ">=3.10,<=3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.76.2,<1.0.0"
|
||||
"crewai[tools]>=0.75.1,<1.0.0"
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = [{ name = "Your Name", email = "you@example.com" }]
|
||||
requires-python = ">=3.10,<=3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.76.2,<1.0.0",
|
||||
"crewai[tools]>=0.75.1,<1.0.0",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -6,7 +6,7 @@ authors = ["Your Name <you@example.com>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<=3.13"
|
||||
crewai = { extras = ["tools"], version = ">=0.76.2,<1.0.0" }
|
||||
crewai = { extras = ["tools"], version = ">=0.75.1,<1.0.0" }
|
||||
asyncio = "*"
|
||||
|
||||
[tool.poetry.scripts]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = ["Your Name <you@example.com>"]
|
||||
requires-python = ">=3.10,<=3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.76.2,<1.0.0"
|
||||
"crewai[tools]>=0.75.1,<1.0.0"
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -5,6 +5,6 @@ description = "Power up your crews with {{folder_name}}"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10,<=3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.76.2"
|
||||
"crewai[tools]>=0.75.1"
|
||||
]
|
||||
|
||||
|
||||
@@ -2,8 +2,7 @@ import os
|
||||
import shutil
|
||||
|
||||
import tomli_w
|
||||
|
||||
from crewai.cli.utils import read_toml
|
||||
import tomllib
|
||||
|
||||
|
||||
def update_crew() -> None:
|
||||
@@ -19,9 +18,10 @@ def migrate_pyproject(input_file, output_file):
|
||||
And it will be used to migrate the pyproject.toml to the new format when uv is used.
|
||||
When the time comes that uv supports the new format, this function will be deprecated.
|
||||
"""
|
||||
poetry_data = {}
|
||||
|
||||
# Read the input pyproject.toml
|
||||
pyproject_data = read_toml()
|
||||
with open(input_file, "rb") as f:
|
||||
pyproject = tomllib.load(f)
|
||||
|
||||
# Initialize the new project structure
|
||||
new_pyproject = {
|
||||
@@ -30,30 +30,30 @@ def migrate_pyproject(input_file, output_file):
|
||||
}
|
||||
|
||||
# Migrate project metadata
|
||||
if "tool" in pyproject_data and "poetry" in pyproject_data["tool"]:
|
||||
poetry_data = pyproject_data["tool"]["poetry"]
|
||||
new_pyproject["project"]["name"] = poetry_data.get("name")
|
||||
new_pyproject["project"]["version"] = poetry_data.get("version")
|
||||
new_pyproject["project"]["description"] = poetry_data.get("description")
|
||||
if "tool" in pyproject and "poetry" in pyproject["tool"]:
|
||||
poetry = pyproject["tool"]["poetry"]
|
||||
new_pyproject["project"]["name"] = poetry.get("name")
|
||||
new_pyproject["project"]["version"] = poetry.get("version")
|
||||
new_pyproject["project"]["description"] = poetry.get("description")
|
||||
new_pyproject["project"]["authors"] = [
|
||||
{
|
||||
"name": author.split("<")[0].strip(),
|
||||
"email": author.split("<")[1].strip(">").strip(),
|
||||
}
|
||||
for author in poetry_data.get("authors", [])
|
||||
for author in poetry.get("authors", [])
|
||||
]
|
||||
new_pyproject["project"]["requires-python"] = poetry_data.get("python")
|
||||
new_pyproject["project"]["requires-python"] = poetry.get("python")
|
||||
else:
|
||||
# If it's already in the new format, just copy the project section
|
||||
new_pyproject["project"] = pyproject_data.get("project", {})
|
||||
new_pyproject["project"] = pyproject.get("project", {})
|
||||
|
||||
# Migrate or copy dependencies
|
||||
if "dependencies" in new_pyproject["project"]:
|
||||
# If dependencies are already in the new format, keep them as is
|
||||
pass
|
||||
elif poetry_data and "dependencies" in poetry_data:
|
||||
elif "dependencies" in poetry:
|
||||
new_pyproject["project"]["dependencies"] = []
|
||||
for dep, version in poetry_data["dependencies"].items():
|
||||
for dep, version in poetry["dependencies"].items():
|
||||
if isinstance(version, dict): # Handle extras
|
||||
extras = ",".join(version.get("extras", []))
|
||||
new_dep = f"{dep}[{extras}]"
|
||||
@@ -67,10 +67,10 @@ def migrate_pyproject(input_file, output_file):
|
||||
new_pyproject["project"]["dependencies"].append(new_dep)
|
||||
|
||||
# Migrate or copy scripts
|
||||
if poetry_data and "scripts" in poetry_data:
|
||||
new_pyproject["project"]["scripts"] = poetry_data["scripts"]
|
||||
elif pyproject_data.get("project", {}) and "scripts" in pyproject_data["project"]:
|
||||
new_pyproject["project"]["scripts"] = pyproject_data["project"]["scripts"]
|
||||
if "scripts" in poetry:
|
||||
new_pyproject["project"]["scripts"] = poetry["scripts"]
|
||||
elif "scripts" in pyproject.get("project", {}):
|
||||
new_pyproject["project"]["scripts"] = pyproject["project"]["scripts"]
|
||||
else:
|
||||
new_pyproject["project"]["scripts"] = {}
|
||||
|
||||
@@ -87,8 +87,8 @@ def migrate_pyproject(input_file, output_file):
|
||||
new_pyproject["project"]["scripts"]["run_crew"] = f"{module_name}.main:run"
|
||||
|
||||
# Migrate optional dependencies
|
||||
if poetry_data and "extras" in poetry_data:
|
||||
new_pyproject["project"]["optional-dependencies"] = poetry_data["extras"]
|
||||
if "extras" in poetry:
|
||||
new_pyproject["project"]["optional-dependencies"] = poetry["extras"]
|
||||
|
||||
# Backup the old pyproject.toml
|
||||
backup_file = "pyproject-old.toml"
|
||||
|
||||
@@ -6,7 +6,6 @@ from functools import reduce
|
||||
from typing import Any, Dict, List
|
||||
|
||||
import click
|
||||
import tomli
|
||||
from rich.console import Console
|
||||
|
||||
from crewai.cli.authentication.utils import TokenManager
|
||||
@@ -55,13 +54,6 @@ def simple_toml_parser(content):
|
||||
return result
|
||||
|
||||
|
||||
def read_toml(file_path: str = "pyproject.toml"):
|
||||
"""Read the content of a TOML file and return it as a dictionary."""
|
||||
with open(file_path, "rb") as f:
|
||||
toml_dict = tomli.load(f)
|
||||
return toml_dict
|
||||
|
||||
|
||||
def parse_toml(content):
|
||||
if sys.version_info >= (3, 11):
|
||||
return tomllib.loads(content)
|
||||
|
||||
@@ -1,9 +1,7 @@
|
||||
from pathlib import Path
|
||||
from unittest import mock
|
||||
|
||||
import pytest
|
||||
from click.testing import CliRunner
|
||||
|
||||
from crewai.cli.cli import (
|
||||
deploy_create,
|
||||
deploy_list,
|
||||
@@ -11,7 +9,6 @@ from crewai.cli.cli import (
|
||||
deploy_push,
|
||||
deploy_remove,
|
||||
deply_status,
|
||||
flow_add_crew,
|
||||
reset_memories,
|
||||
signup,
|
||||
test,
|
||||
@@ -280,42 +277,3 @@ def test_deploy_remove_no_uuid(command, runner):
|
||||
|
||||
assert result.exit_code == 0
|
||||
mock_deploy.remove_crew.assert_called_once_with(uuid=None)
|
||||
|
||||
|
||||
@mock.patch("crewai.cli.add_crew_to_flow.create_embedded_crew")
|
||||
@mock.patch("pathlib.Path.exists", return_value=True) # Mock the existence check
|
||||
def test_flow_add_crew(mock_path_exists, mock_create_embedded_crew, runner):
|
||||
crew_name = "new_crew"
|
||||
result = runner.invoke(flow_add_crew, [crew_name])
|
||||
|
||||
# Log the output for debugging
|
||||
print(result.output)
|
||||
|
||||
assert result.exit_code == 0, f"Command failed with output: {result.output}"
|
||||
assert f"Adding crew {crew_name} to the flow" in result.output
|
||||
|
||||
# Verify that create_embedded_crew was called with the correct arguments
|
||||
mock_create_embedded_crew.assert_called_once()
|
||||
call_args, call_kwargs = mock_create_embedded_crew.call_args
|
||||
assert call_args[0] == crew_name
|
||||
assert "parent_folder" in call_kwargs
|
||||
assert isinstance(call_kwargs["parent_folder"], Path)
|
||||
|
||||
|
||||
def test_add_crew_to_flow_not_in_root(runner):
|
||||
# Simulate not being in the root of a flow project
|
||||
with mock.patch("pathlib.Path.exists", autospec=True) as mock_exists:
|
||||
# Mock Path.exists to return False when checking for pyproject.toml
|
||||
def exists_side_effect(self):
|
||||
if self.name == "pyproject.toml":
|
||||
return False # Simulate that pyproject.toml does not exist
|
||||
return True # All other paths exist
|
||||
|
||||
mock_exists.side_effect = exists_side_effect
|
||||
|
||||
result = runner.invoke(flow_add_crew, ["new_crew"])
|
||||
|
||||
assert result.exit_code != 0
|
||||
assert "This command must be run from the root of a flow project." in str(
|
||||
result.output
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user