Class swarmauri_tool_jupyterexecutecell.JupyterExecuteCellTool.JupyterExecuteCellTool
swarmauri_tool_jupyterexecutecell.JupyterExecuteCellTool.JupyterExecuteCellTool
Bases: ToolBase
JupyterExecuteCellTool is a tool that sends code to a Jupyter kernel for execution, capturing stdout, stderr, and any exceptions encountered. It supports a configurable timeout to prevent long-running code from blocking execution indefinitely.
ATTRIBUTE | DESCRIPTION |
---|---|
version |
The version of the JupyterExecuteCellTool.
TYPE:
|
parameters |
A list of parameters required to execute a notebook cell.
TYPE:
|
name |
The name of the tool.
TYPE:
|
description |
A brief description of the tool's functionality.
TYPE:
|
type |
The type identifier for the tool.
TYPE:
|
version
class-attribute
instance-attribute
version = '1.0.0'
parameters
class-attribute
instance-attribute
parameters = Field(
default_factory=lambda: [
Parameter(
name="code",
input_type="string",
description="The code to be executed in the Jupyter kernel.",
required=True,
),
Parameter(
name="timeout",
input_type="number",
description="Timeout in seconds for the cell execution.",
required=False,
default=30,
),
]
)
name
class-attribute
instance-attribute
name = 'JupyterExecuteCellTool'
description
class-attribute
instance-attribute
description = "Executes code cells within a Jupyter kernel environment."
type
class-attribute
instance-attribute
type = 'JupyterExecuteCellTool'
model_config
class-attribute
instance-attribute
model_config = ConfigDict(
extra="allow", arbitrary_types_allowed=True
)
id
class-attribute
instance-attribute
id = Field(default_factory=generate_id)
members
class-attribute
instance-attribute
members = None
owners
class-attribute
instance-attribute
owners = None
host
class-attribute
instance-attribute
host = None
default_logger
class-attribute
default_logger = None
logger
class-attribute
instance-attribute
logger = None
get_ipython
staticmethod
get_ipython()
Returns the active IPython kernel instance. This method is defined as a static method to facilitate patching during tests.
Source code in swarmauri_tool_jupyterexecutecell/JupyterExecuteCellTool.py
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|
execute_cell
execute_cell(code, timeout=30)
Executes the provided code cell using the tool's execution logic.
PARAMETER | DESCRIPTION |
---|---|
code
|
The code cell content to execute.
TYPE:
|
timeout
|
The maximum number of seconds to allow for code execution. Defaults to 30 seconds.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Dict[str, str]
|
Dict[str, str]: A dictionary containing execution results. |
Source code in swarmauri_tool_jupyterexecutecell/JupyterExecuteCellTool.py
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|
register_model
classmethod
register_model()
Decorator to register a base model in the unified registry.
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the model class.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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|
register_type
classmethod
register_type(resource_type=None, type_name=None)
Decorator to register a subtype under one or more base models in the unified registry.
PARAMETER | DESCRIPTION |
---|---|
resource_type
|
The base model(s) under which to register the subtype. If None, all direct base classes (except DynamicBase) are used.
TYPE:
|
type_name
|
An optional custom type name for the subtype.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the subtype.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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|
model_validate_toml
classmethod
model_validate_toml(toml_data)
Validate a model from a TOML string.
Source code in swarmauri_base/TomlMixin.py
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|
model_dump_toml
model_dump_toml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a TOML representation of the model.
Source code in swarmauri_base/TomlMixin.py
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|
model_validate_yaml
classmethod
model_validate_yaml(yaml_data)
Validate a model from a YAML string.
Source code in swarmauri_base/YamlMixin.py
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|
model_dump_yaml
model_dump_yaml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a YAML representation of the model.
Source code in swarmauri_base/YamlMixin.py
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|
model_post_init
model_post_init(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
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|
call
call(*args, **kwargs)
File: ToolBase.py Class: ToolBase Method: call
Alias for call to conform to ITool interface.
Source code in swarmauri_base/tools/ToolBase.py
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|
batch
batch(inputs, *args, **kwargs)
File: ToolBase.py Class: ToolBase Method: batch
Default batch implementation: calls call on each item in inputs
.
Subclasses can override for optimized bulk behavior.
Source code in swarmauri_base/tools/ToolBase.py
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|