Add Code Interpreter Tools for Stateful Python Code Execution #51
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This commit introduces a new set of tools that enable stateful Python code execution within the OxyGent framework using isolated Jupyter kernels. This provides a powerful capability for complex computations, data analysis, and multi-step programming tasks. Features: - Stateful Execution: Variables and imports persist across multiple calls with the same session_id - Isolated Environment: Each session runs in its own Jupyter kernel for security - Rich Output Handling: Captures stdout, expression results, and error messages - Resource Management: Explicit session lifecycle with start/stop controls - Asynchronous Support: Non-blocking execution that won't block the main application Files changed: - oxygent/preset_tools/code_interpreter_tools.py: Main implementation - oxygent/preset_tools/__init__.py: Added module to imports - test/unittest/test_code_interpreter_tools.py: Unit tests - requirements.txt: Added jupyter_client and ipykernel dependencies
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This PR introduces a new set of tools that enable stateful Python code execution within the OxyGent framework using isolated Jupyter kernels. This provides a powerful capability for complex computations, data analysis, and multi-step programming tasks.
Features:
Files changed: