mirror of
https://github.com/NVIDIA-NeMo/DataDesigner
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29 lines
861 B
Markdown
29 lines
861 B
Markdown
# Run Config
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The `run_config` module defines runtime settings that control dataset generation behavior,
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including early shutdown thresholds, batch sizing, non-inference worker concurrency,
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and the Jinja rendering engine used by the runtime.
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`JinjaRenderingEngine.SECURE` is the default. Set `JinjaRenderingEngine.NATIVE`
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when you want Jinja2's broader built-in sandbox behavior instead of Data Designer's
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hardened renderer.
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For guidance on when to use each mode, see [Security](../concepts/security.md).
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## Usage
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```python
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import data_designer.config as dd
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from data_designer.interface import DataDesigner
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data_designer = DataDesigner()
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data_designer.set_run_config(dd.RunConfig(
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buffer_size=500,
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max_conversation_restarts=3,
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jinja_rendering_engine=dd.JinjaRenderingEngine.NATIVE,
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))
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```
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## API Reference
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::: data_designer.config.run_config
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