Agentic data science with the Data Agent Kit
cloud.google.com·8h ago
Data Science
Towards Data Science·Aug 3·5 min read
How to Build CLI Agents with Python & Ollama
TL;DR
A local Command Line Interface (CLI) agent can be built using Python and the Ollama framework, enabling developers to create interactive applications easily. This guide provides a step-by-step approach to building such agents for free.
✦ Why It Matters
Start building your own CLI agents today to automate repetitive tasks and improve user interaction.
Key Takeaways
- Install Ollama to run LLMs locally on your machine.
- Define functions for executing shell commands in Python.
- Map functions to schemas for AI tool calling.
- Use natural language to interact with your CLI Agent.
How It Works
The CLI Agent uses the Ollama library to run a local LLM, allowing users to input natural language commands. The Agent processes these commands, maps them to predefined functions, and executes shell commands using Python's subprocess module.
This integration enables a more intuitive interaction with the command line, as users can simply ask questions or request actions without needing to remember specific command syntax.