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release-notes/v1_100.md

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@@ -333,12 +333,22 @@ To enhance existing support for cell output usage within chat, outputs are now a
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<video src="images/1_100/output-dnd.mp4" title="Video that shows multiple cell outputs being attached as chat context via drag and drop." autoplay loop controls muted></video>
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### Run cell tool for agent mode
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### Notebook tools for agent mode
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#### Run cell
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Chat now has an LLM tool to run notebook cells, which allows the agent to perform updates based on cell run results or perform its own data exploration as it builds out a notebook.
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<video src="images/1_100/agent-notebook-run-edit-loop.mp4" title="Video that shows copilot running notebook cells, making updates based on an error, and retrying those cells." autoplay loop controls muted></video>
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#### Get kernel state
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The agent can find out which cells have been executed in the current kernel state, as well as read information about the active variables by using the Kernel State tool.
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#### List/Install packages
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The Jupyter extension contributes a tools for listing and installing packages into the environment that being used as the notebook's kernel. The operation will be delegated to the Python Envionments extension if available otherwise it will attempt to use the pip package manager.
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## Source Control
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### Quick diff decorations for staged changes

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