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14 Commits

Author SHA1 Message Date
Brandon Hancock
44217b1e5b add back in docstring 2024-10-25 17:58:45 -04:00
Brandon Hancock
430a2038a3 Drop print 2024-10-25 16:02:31 -04:00
Brandon Hancock
6df3758770 fix lint 2024-10-25 15:42:41 -04:00
Brandon Hancock
05cd56ca54 improve tool text descriptoin and args 2024-10-25 15:37:38 -04:00
Vini Brasil
f29f4abdd7 Forward install command options to uv sync (#1510)
Allow passing additional options from `crewai install` directly to
`uv sync`. This enables commands like `crewai install --locked` to work
as expected by forwarding all flags and options to the underlying uv
command.
2024-10-25 11:20:41 -03:00
Eduardo Chiarotti
4589d6fe9d feat: add tomli so we can support 3.10 (#1506)
* feat: add tomli so we can support 3.10

* feat: add validation for poetry data
2024-10-25 10:33:21 -03:00
Brandon Hancock (bhancock_ai)
201e652fa2 update plot command (#1504) 2024-10-24 14:44:30 -04:00
João Moura
8bc07e6071 new version 2024-10-23 18:10:37 -03:00
João Moura
6baaad045a new version 2024-10-23 18:08:49 -03:00
João Moura
74c1703310 updating crewai version 2024-10-23 17:58:58 -03:00
Brandon Hancock (bhancock_ai)
a921828e51 Fix memory imports for embedding functions (#1497) 2024-10-23 11:21:27 -04:00
Brandon Hancock (bhancock_ai)
e1fd83e6a7 support unsafe code execution. add in docker install and running checks. (#1496)
* support unsafe code execution. add in docker install and running checks.

* Update return type
2024-10-23 11:01:00 -04:00
Maicon Peixinho
7d68e287cc chore(readme-fix): fixing step for 'running tests' in the contribution section (#1490)
Co-authored-by: Eduardo Chiarotti <dudumelgaco@hotmail.com>
2024-10-23 11:38:41 -03:00
Rip&Tear
f39a975e20 fix/fixed missing API prompt + CLI docs update (#1464)
* updated CLI to allow for submitting API keys

* updated click prompt to remove default number

* removed all unnecessary comments

* feat: implement crew creation CLI command

- refactor code to multiple functions
- Added ability for users to select provider and model when uing crewai create command and ave API key to .env

* refactered select_choice function for early return

* refactored  select_provider to have an ealry return

* cleanup of comments

* refactor/Move functions into utils file, added new provider file and migrated fucntions thre, new constants file + general function refactor

* small comment cleanup

* fix unnecessary deps

* Added docs for new CLI provider + fixed missing API prompt

* Minor doc updates

* allow user to bypass api key entry + incorect number selected logic + ruff formatting

* ruff updates

* Fix spelling mistake

---------

Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>
2024-10-23 09:41:14 -04:00
19 changed files with 1087 additions and 1121 deletions

View File

@@ -351,7 +351,7 @@ pre-commit install
### Running Tests
```bash
uvx pytest
uv run pytest .
```
### Running static type checks

View File

@@ -31,16 +31,17 @@ Think of an agent as a member of a team, with specific skills and a particular j
| **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`. |
| **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. |
| **Verbose** *(optional)* | `verbose` | Setting this to `True` configures the internal logger to provide detailed execution logs, aiding in debugging and monitoring. Default is `False`. |
| **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`.
| **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`. |
| **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`. |
| **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`. |
| **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`. |
| **Allow Code Execution** *(optional)* | `allow_code_execution` | Enable code execution for the agent. Default is `False`. |
| **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`.
| **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`. |
| **Use System Prompt** *(optional)* | `use_system_prompt` | Adds the ability to not use system prompt (to support o1 models). Default is `True`. |
| **Respect Context Window** *(optional)* | `respect_context_window` | Summary strategy to avoid overflowing the context window. Default is `True`. |
| **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`. |
## Creating an agent
@@ -83,6 +84,7 @@ agent = Agent(
max_retry_limit=2, # Optional
use_system_prompt=True, # Optional
respect_context_window=True, # Optional
code_execution_mode='safe', # Optional, defaults to 'safe'
)
```
@@ -156,4 +158,4 @@ crew = my_crew.kickoff(inputs={"input": "Mark Twain"})
## Conclusion
Agents are the building blocks of the CrewAI framework. By understanding how to define and interact with agents,
you can create sophisticated AI systems that leverage the power of collaborative intelligence.
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.

View File

@@ -118,7 +118,7 @@ Alternatively, you can directly pass the OpenAIEmbeddingFunction to the embedder
Example:
```python Code
from crewai import Crew, Agent, Task, Process
from chromadb.utils.embedding_functions.openai_embedding_function import OpenAIEmbeddingFunction
from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
my_crew = Crew(
agents=[...],
@@ -174,6 +174,7 @@ 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(
@@ -182,7 +183,7 @@ my_crew = Crew(
process=Process.sequential,
memory=True,
verbose=True,
embedder=embedding_functions.OpenAIEmbeddingFunction(
embedder=OpenAIEmbeddingFunction(
api_key="YOUR_API_KEY",
api_base="YOUR_API_BASE_PATH",
api_type="azure",
@@ -195,6 +196,7 @@ 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(
@@ -203,7 +205,7 @@ my_crew = Crew(
process=Process.sequential,
memory=True,
verbose=True,
embedder=embedding_functions.GoogleVertexEmbeddingFunction(
embedder=GoogleVertexEmbeddingFunction(
project_id="YOUR_PROJECT_ID",
region="YOUR_REGION",
api_key="YOUR_API_KEY",

View File

@@ -1,6 +1,6 @@
[project]
name = "crewai"
version = "0.75.1"
version = "0.76.2"
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"
@@ -28,6 +28,7 @@ dependencies = [
"uv>=0.4.25",
"tomli-w>=1.1.0",
"chromadb>=0.4.24",
"tomli>=2.0.2",
]
[project.urls]

View File

@@ -14,5 +14,5 @@ warnings.filterwarnings(
category=UserWarning,
module="pydantic.main",
)
__version__ = "0.75.1"
__version__ = "0.76.2"
__all__ = ["Agent", "Crew", "Process", "Task", "Pipeline", "Router", "LLM", "Flow"]

View File

@@ -1,6 +1,7 @@
import os
from inspect import signature
from typing import Any, List, Optional, Union
import shutil
import subprocess
from typing import Any, List, Literal, Optional, Union
from pydantic import Field, InstanceOf, PrivateAttr, model_validator
@@ -112,6 +113,10 @@ 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):
@@ -173,6 +178,9 @@ 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):
@@ -308,7 +316,9 @@ class Agent(BaseAgent):
try:
from crewai_tools import CodeInterpreterTool
return [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)]
except ModuleNotFoundError:
self._logger.log(
"info", "Coding tools not available. Install crewai_tools. "
@@ -384,30 +394,49 @@ 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 = 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}"
)
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}"
)
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])

View File

@@ -33,10 +33,11 @@ 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")
def create(type, name, provider):
@click.option("--skip_provider", is_flag=True, help="Skip provider validation")
def create(type, name, provider, skip_provider=False):
"""Create a new crew, pipeline, or flow."""
if type == "crew":
create_crew(name, provider)
create_crew(name, provider, skip_provider)
elif type == "pipeline":
create_pipeline(name)
elif type == "flow":
@@ -177,10 +178,14 @@ def test(n_iterations: int, model: str):
evaluate_crew(n_iterations, model)
@crewai.command()
def install():
@crewai.command(context_settings=dict(
ignore_unknown_options=True,
allow_extra_args=True,
))
@click.pass_context
def install(context):
"""Install the Crew."""
install_crew()
install_crew(context.args)
@crewai.command()

View File

@@ -81,77 +81,84 @@ 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, parent_folder=None):
def create_crew(name, provider=None, skip_provider=False, 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")
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:
return
provider_models = get_provider_data()
if not provider_models:
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"
)
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"
)
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"
)
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="",
)
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 = ""
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")
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")
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"

View File

@@ -3,12 +3,13 @@ import subprocess
import click
def install_crew() -> None:
def install_crew(proxy_options: list[str]) -> None:
"""
Install the crew by running the UV command to lock and install.
"""
try:
subprocess.run(["uv", "sync"], check=True, capture_output=False, text=True)
command = ["uv", "sync"] + proxy_options
subprocess.run(command, 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)

View File

@@ -7,7 +7,7 @@ def plot_flow() -> None:
"""
Plot the flow by running a command in the UV environment.
"""
command = ["uv", "run", "plot_flow"]
command = ["uv", "run", "plot"]
try:
result = subprocess.run(command, capture_output=False, text=True, check=True)

View File

@@ -1,10 +1,9 @@
import subprocess
import click
import tomllib
from packaging import version
from crewai.cli.utils import get_crewai_version
from crewai.cli.utils import get_crewai_version, read_toml
def run_crew() -> None:
@@ -15,10 +14,9 @@ def run_crew() -> None:
crewai_version = get_crewai_version()
min_required_version = "0.71.0"
with open("pyproject.toml", "rb") as f:
data = tomllib.load(f)
pyproject_data = read_toml()
if data.get("tool", {}).get("poetry") and (
if pyproject_data.get("tool", {}).get("poetry") and (
version.parse(crewai_version) < version.parse(min_required_version)
):
click.secho(
@@ -35,10 +33,7 @@ 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)
with open("pyproject.toml", "rb") as f:
data = tomllib.load(f)
if data.get("tool", {}).get("poetry"):
if pyproject_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",

View File

@@ -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]>=0.75.1,<1.0.0"
"crewai[tools]>=0.76.2,<1.0.0"
]
[project.scripts]

View File

@@ -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]>=0.75.1,<1.0.0",
"crewai[tools]>=0.76.2,<1.0.0",
]
[project.scripts]

View File

@@ -6,7 +6,7 @@ authors = ["Your Name <you@example.com>"]
[tool.poetry.dependencies]
python = ">=3.10,<=3.13"
crewai = { extras = ["tools"], version = ">=0.75.1,<1.0.0" }
crewai = { extras = ["tools"], version = ">=0.76.2,<1.0.0" }
asyncio = "*"
[tool.poetry.scripts]

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = ["Your Name <you@example.com>"]
requires-python = ">=3.10,<=3.13"
dependencies = [
"crewai[tools]>=0.75.1,<1.0.0"
"crewai[tools]>=0.76.2,<1.0.0"
]
[project.scripts]

View File

@@ -5,6 +5,6 @@ description = "Power up your crews with {{folder_name}}"
readme = "README.md"
requires-python = ">=3.10,<=3.13"
dependencies = [
"crewai[tools]>=0.75.1"
"crewai[tools]>=0.76.2"
]

View File

@@ -2,7 +2,8 @@ import os
import shutil
import tomli_w
import tomllib
from crewai.cli.utils import read_toml
def update_crew() -> None:
@@ -18,10 +19,9 @@ 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
with open(input_file, "rb") as f:
pyproject = tomllib.load(f)
pyproject_data = read_toml()
# 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 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")
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")
new_pyproject["project"]["authors"] = [
{
"name": author.split("<")[0].strip(),
"email": author.split("<")[1].strip(">").strip(),
}
for author in poetry.get("authors", [])
for author in poetry_data.get("authors", [])
]
new_pyproject["project"]["requires-python"] = poetry.get("python")
new_pyproject["project"]["requires-python"] = poetry_data.get("python")
else:
# If it's already in the new format, just copy the project section
new_pyproject["project"] = pyproject.get("project", {})
new_pyproject["project"] = pyproject_data.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 "dependencies" in poetry:
elif poetry_data and "dependencies" in poetry_data:
new_pyproject["project"]["dependencies"] = []
for dep, version in poetry["dependencies"].items():
for dep, version in poetry_data["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 "scripts" in poetry:
new_pyproject["project"]["scripts"] = poetry["scripts"]
elif "scripts" in pyproject.get("project", {}):
new_pyproject["project"]["scripts"] = pyproject["project"]["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"]
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 "extras" in poetry:
new_pyproject["project"]["optional-dependencies"] = poetry["extras"]
if poetry_data and "extras" in poetry_data:
new_pyproject["project"]["optional-dependencies"] = poetry_data["extras"]
# Backup the old pyproject.toml
backup_file = "pyproject-old.toml"

View File

@@ -6,6 +6,7 @@ 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
@@ -54,6 +55,13 @@ 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)

1906
uv.lock generated

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