gem-hunter

Gorilla CLI powers your command-line interactions with a user-centric tool. Simply state your objective, and Gorilla CLI will generate potential commands for execution. Gorilla today supports ~1500 APIs, including Kubernetes, AWS, GCP, Azure, GitHub, Conda, Curl, Sed, and many more. No more recalling intricate CLI arguments! 🦍

Developed by UC Berkeley as a research prototype, Gorilla-CLI prioritizes user control and confidentiality:

• Commands are executed solely with your explicit approval.
• While we utilize queries and error logs (stderr) for model enhancement, we NEVER collect output data (stdout).

You can readily install Gorilla CLI via pip.

pip install gorilla-cli

Activate Gorilla CLI with gorilla followed by your task in plain English.

For instance, to generate a file with 100 random characters, type:

$ gorilla generate 100 random characters into a file called test.txt

or if you prefer, you can use quotes to avoid issues with string parsing:

$ gorilla "generate 100 random characters into a file called test.txt"

Gorilla CLI will then generate candidate commands. Use the arrow keys to navigate through the options, then press enter to execute the chosen command.

🦍  Welcome to Gorilla. Use arrows to select
 » cat /dev/urandom | env LC_ALL=C tr -dc 'a-zA-Z0-9' | head -c 100 > test.txt 
   echo $(head /dev/urandom | LC_CTYPE=C tr -dc 'a-zA-Z0-9' | dd bs=100 count=1) > test.txt
   dd if=/dev/urandom bs=1 count=100 of=test.txt

Some more examples

$ gorilla list all my GCP instances
» gcloud compute instances list --format="table(name,zone,status)"
  gcloud compute instances list --format table
  gcloud compute instances list --format="table(name, zone, machineType, status)"

$ gorilla get the image ids of all pods running in all namespaces in kubernetes
» kubectl get pods --all-namespaces -o jsonpath="{..imageID}"
  kubectl get pods --all --namespaces
  kubectl get pod -A -o jsonpath='{range .items[*]}{"\n"}{.metadata.name}{"\t"}{.spec.containers[].image}{"\n"}{end}'

Gorilla-CLI fuses the capabilities of various Language Learning Models (LLMs) like Gorilla LLM, OpenAI's GPT-4, Claude v1, and others to present a user-friendly command-line interface. For each user query, we gather responses from all contributing LLMs, filter, sort, and present you with the most relevant options.

usage: go_cli.py [-h] [-p] [command_args ...]

Gorilla CLI Help Doc

positional arguments:
  command_args   Prompt to be inputted to Gorilla

optional arguments:
  -h, --help     show this help message and exit
  -p, --history  Display command history

The history feature lets the user go back to previous commands they've executed to re-execute in a similar fashion to terminal history.

We welcome your enhancements to Gorilla CLI! If you have improvements, feel free to submit a pull request on our GitHub page.

Gorilla CLI operates under the Apache 2.0 license. More details can be found in the LICENSE file. We'd also like to extend our appreciation to questionary for their fantastic UI!