chore(readme): auto-update asset tables [skip ci]

Author: iguazio-cicd

modules/README.md

@@ -6,10 +6,10 @@
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 | Name | Description | Kind | Categories |
 | --- | --- | --- | --- |
-| [agent_deployer](https://github.com/mlrun/functions/tree/master/modules/src/agent_deployer) | Helper for serving function deploy of an AI agents using MLRun | monitoring_application | model-serving |
-| [count_events](https://github.com/mlrun/functions/tree/master/modules/src/count_events) | Count events in each time window | monitoring_application | model-serving |
-| [evidently_iris](https://github.com/mlrun/functions/tree/master/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 |
-| [histogram_data_drift](https://github.com/mlrun/functions/tree/master/modules/src/histogram_data_drift) | Model-monitoring application for detecting and visualizing data drift | monitoring_application | model-serving, structured-ML |
-| [openai_proxy_app](https://github.com/mlrun/functions/tree/master/modules/src/openai_proxy_app) | OpenAI application runtime based on fastapi | generic | genai |
-| [vllm_module](https://github.com/mlrun/functions/tree/master/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 |
+| [agent_deployer](https://github.com/mlrun/functions/tree/development/modules/src/agent_deployer) | Helper for serving function deploy of an AI agents using MLRun | monitoring_application | model-serving |
+| [count_events](https://github.com/mlrun/functions/tree/development/modules/src/count_events) | Count events in each time window | monitoring_application | model-serving |
+| [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 |
+| [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 |
+| [openai_proxy_app](https://github.com/mlrun/functions/tree/development/modules/src/openai_proxy_app) | OpenAI application runtime based on fastapi | generic | genai |
+| [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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