Termbot Experiments

What can it say about itself?

This blogpost was written by Termbot and is about Termbot itself, as a fun PoC to showcase one of its many capabilities.

Here’s the command I used:

t -v --outfile termbot-about-itself.md -p "Write a blog post with no more than 240 words, in Markdown, about the purpose of program Termbot /file:termbot.py and at the end show a couple of use cases for it"

(The prompt engineering is as bad as it gets, but it was fun to see what the output would be)

Termbot

The results are interesting, but I guess it lacks a little bit of depth about what the code it “reads” does, but it’s quite impressive what GPT4 can do. I’ll be doing more testings soon with other LLMs to see how they perform in this same (strange) task.

Now, to the actual text:

Termbot.py: Unleashing the Power of Terminal Automation

Termbot.py is a powerful, robust, yet flexible command-line interface automation tool powered by GPT-4 models, the latest generative AI technology from OpenAI. With its ability to automate common terminal tasks and make innovative use of AI in the terminal, Termbot.py provides tremendous value to developers and system administrators.

Designed with a focus on versatility and interactivity, this Python script comes equipped with an extensive list of command arguments to tailor your terminal automation experience. These arguments allow features like interactive mode (-i), prompt entry (-p), context specification (-c), raw output export (-outfile), verbosity (-v), and more.

Notably, Termbot.py allows the user to choose their model, providing the option to run it with GPT-3.5 Turbo or GPT-4 (--gpt4). A standout feature is its ability to calculate prompt costs based on your choice of model, giving users insight into their API usage.

Use Cases

  1. Getting help: If you need instructions, running Termbot.py with --help or -h will list all the available command arguments along with their descriptions.

  2. Interactive mode: Run Termbot.py with -i to interact with the script in real-time. You can feed it input mid-execution and let the GPT model handle it intelligently.

  3. Contextual usage: By passing -c and a context file, you can utilize previously saved contexts. It’s handy when your prompt is dependent on a context.

These are just a few ways Termbot.py can be a valuable tool for terminal-based workflows. Explore the script and leverage its powerful AI technology to elevate your command-line experience.



Written By

Argandov

Cybersecurity professional and IT enthusiast with a passion for technology, music, personal growth, and Eastern philosophy. Transitioned from mechanical engineering to IT in 2020, with a full-time interest in Technology, Cybersecurity and recent advances in AI. Seeks to integrate eastern philosophy, mindfulness and a growth mindset into daily life and work.