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chore(readme): auto-update asset tables [skip ci]
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modules/README.md

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@@ -13,6 +13,7 @@ As public contributions, we ask that all contributors follow the project’s gui
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| [count_events](https://github.com/mlrun/functions/tree/development/modules/src/count_events) | Count events in each time window | monitoring_application | model-serving |
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| [evidently_iris](https://github.com/mlrun/functions/tree/development/modules/src/evidently_iris) | Demonstrates Evidently integration in MLRun for data quality and drift monitoring using the Iris dataset | monitoring_application | model-serving, structured-ML |
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| [histogram_data_drift](https://github.com/mlrun/functions/tree/development/modules/src/histogram_data_drift) | Model-monitoring application for detecting and visualizing data drift | monitoring_application | model-serving, structured-ML |
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| [oai_spo](https://github.com/mlrun/functions/tree/development/modules/src/oai_spo) | OAI SPO use case for industrial optimization | generic | model-serving, structured-ML |
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| [openai_proxy_app](https://github.com/mlrun/functions/tree/development/modules/src/openai_proxy_app) | OpenAI application runtime based on fastapi | generic | genai |
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| [vllm_module](https://github.com/mlrun/functions/tree/development/modules/src/vllm_module) | Deploys a vLLM OpenAI-compatible LLM server as an MLRun application runtime, with configurable GPU usage, node selection, tensor parallelism, and runtime flags. | generic | genai |
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