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EmbeddedIPythonCodeExecutor

class EmbeddedIPythonCodeExecutor(BaseModel)

(Experimental) A code executor class that executes code statefully using an embedded IPython kernel managed by this class.

This will execute LLM generated code on the local machine.

Each execution is stateful and can access variables created from previous executions in the same session. The kernel must be installed before using this class. The kernel can be installed using the following command: python -m ipykernel install --user --name \{kernel_name} where kernel_name is the name of the kernel to install.

Arguments:

  • timeout int - The timeout for code execution, by default 60.
  • kernel_name str - The kernel name to use. Make sure it is installed. By default, it is “python3”.
  • output_dir str - The directory to save output files, by default ”.“.

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code_extractor

@property
def code_extractor() -> CodeExtractor

(Experimental) Export a code extractor that can be used by an agent.

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execute_code_blocks

def execute_code_blocks(code_blocks: list[CodeBlock]) -> IPythonCodeResult

(Experimental) Execute a list of code blocks and return the result.

This method executes a list of code blocks as cells in an IPython kernel managed by this class. See: https://jupyter-client.readthedocs.io/en/stable/messaging.html for the message protocol.

Arguments:

  • code_blocks List[CodeBlock] - A list of code blocks to execute.

Returns:

  • IPythonCodeResult - The result of the code execution.

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restart

def restart() -> None

(Experimental) Restart a new session.

docker_jupyter_serverjupyter_client