swarmauri_tool_jupytergetshellmessage 0.7.5

A tool designed to retrieve shell messages from a running Jupyter kernel using jupyter_client, useful for debugging execution responses.

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Swarmauri Tool Jupyter Get Shell Message

A dedicated Python package providing a tool to retrieve shell messages from a running Jupyter kernel using jupyter_client. Built on the swarmauri framework, JupyterGetShellMessageTool is suitable for debugging, logging, and diagnostic purposes.

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Installation

To install this package from PyPI, use the following command:

pip install swarmauri_tool_jupytergetshellmessage

If you are using Poetry for dependency management, add it to your project by specifying the package name in your pyproject.toml under [tool.poetry.dependencies]:

[tool.poetry.dependencies]
swarmauri_tool_jupytergetshellmessage = "^0.1.0.dev1"

Once installed, the package automatically brings in its required dependencies: • swarmauri_core
• swarmauri_base
• jupyter_client

No specialized steps beyond a standard Python environment with pip or Poetry are necessary.

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Usage

Below is a simple example illustrating how to retrieve shell messages from a currently running Jupyter kernel. Make sure you have an active Jupyter kernel in the environment you are running this code from (for instance, a notebook server launched via "jupyter notebook" or "jupyter lab").

1. Import JupyterGetShellMessageTool:

   from swarmauri_tool_jupytergetshellmessage import JupyterGetShellMessageTool

2. Instantiate the tool and call it:

   tool = JupyterGetShellMessageTool() result = tool(timeout=10.0) # Wait up to 10 seconds for shell messages

3. Inspect the result:

   if "messages" in result: for msg in result["messages"]: print("Shell Message:", msg) else: print("No messages or error:", result.get("error", "No details"))

The tool attempts to connect to the active Jupyter kernel, retrieve available shell messages, and return them in a structured dictionary. If no messages are found within the specified timeout, it returns an error message indicating the timeout event.

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Dependencies

• swarmauri_core and swarmauri_base provide the core classes (ComponentBase, ToolBase) for building and integrating tools across the swarmauri ecosystem.
• jupyter_client is leveraged to interface with the running Jupyter kernel, enabling retrieval of shell-based IPC messages.

These dependencies are automatically installed when installing this package via pip or Poetry.

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Contributing

Issues and feature requests for swarmauri_tool_jupytergetshellmessage are always welcome. Although direct repository interaction details are not included here, feel free to suggest improvements or report problems using the relevant issue tracker.

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© 2023 Swarmauri. Licensed under the Apache License, Version 2.0.
See the LICENSE file for details.