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docs: fix link
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docs/docs/agents/explain_error/index.mdx

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@@ -5,7 +5,7 @@ The Explain Error Agent explains an error encountered in a notebook. It leverage
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- Error Explanation: Explain the error encountered in the code cell.
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- Error Resolution: Provide potential solutions to resolve the error.
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![Jupyter AI Agents](https://assets.datalayer.tech/jupyter-ai-agents/ai-agents-explainerror-demo-terminal.gif)
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![Jupyter AI Agents](https://assets.datalayer.tech/jupyter-ai-agents/ai-agent-explainerror-demo-terminal.gif)
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```bash
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jupyter-ai-agents explain-error \

docs/docs/agents/prompt/index.mdx

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@@ -5,7 +5,7 @@ The Prompt Agent generates code cells based on natural language input. It levera
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- Code Generation: Generate cells code based on natural language input.
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- Notebook Modification: Add new cells based on existing one.
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![Jupyter AI Agents](https://assets.datalayer.tech/jupyter-ai-agents/ai-agents-prompt-demo-terminal.gif)
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![Jupyter AI Agents](https://assets.datalayer.tech/jupyter-ai-agents/ai-agent-prompt-demo-terminal.gif)
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To use the Jupyter AI Agents, an easy way is to launch a CLI (update the Azure deployment based on your setup).
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docs/docs/index.mdx

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![Jupyter AI Agents](https://assets.datalayer.tech/jupyter-ai-agents/ai-agents-prompt-demo-terminal.gif)
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![Jupyter AI Agents](https://assets.datalayer.tech/jupyter-ai-agents/ai-agent-prompt-demo-terminal.gif)
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The Agent is equipped with [Tools](/docs/tools) such as adding Code Cells, inserting Markdown Cells, executing Code, enabling it to modify the Notebook comprehensively based on user instructions or by reacting to Notebook and Kernel events.
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