Agent
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Agents take automation to the next level—helping you plan and execute tasks step by step. From just a single prompt, the agent can discover and report important insights, build presentation-ready graphs, and generate a clean, well documented notebook.
This is an overview of the tools that the Mito AI Data Copilot can use when responding to your prompts. When you ask a question or request help, the AI agent automatically selects the appropriate tools to assist you, without requiring you to specify which one to use.
You can toggle Agent mode from the chat sidebar.
Once in Agent mode, enter your prompt. This should describe a goal state you would like to accomplish. Be sure to include any additional details highlighting constraints or requirements.
Once it receives this initial prompt, the agent will begin to think through the problem, and immediately start to write code.
The agent will continue to work until the task is complete.
⚠️ The Mito Agent will execute code on your behalf.
Create/Update Code Cells: Generate new code or modify existing code in your notebook. Perfect for data analysis tasks, visualization creation, or implementing algorithms without writing code from scratch.
Check Cell Output: Examine the results of executed cells so the agent can help you interpret and construct presentation-ready graphs, diagnose issues, and verify your analysis is on the right track.
Code Citation: Link the agent's observations to specific lines of code, so you can verify its work. This transparency builds trust, clarifies recommendations, and helps you learn from the agent's reasoning.
Check existing variables: View variables currently available in your notebook's memory. Quickly inspect variable types, shapes, and values so it can generate insights and working code.
Search file paths in current working directory: Find files in your current directory. Useful for locating CSV and Excel files to import as dataframes for your analysis.
Write Markdown: Document section of code, highlight key results and conclusions. Make it easier for yourself and your colleagues to understand the notebook.
Automatically Fix Errors: Identify and resolve errors in your notebook. The agent analyzes error messages, codes solutions, and checks that they fix your bugs to get your code running.