Smart CLI tool for shell template
Project description
glow
The glow command line interface.
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📦 Installation
pip install glow-cli
If you want to use one of the lmm sdk
pip install "glow-cli[openai]"
You can set up configuration in ~/.glow/commands/<task>.yml
🚀 Usage
g list
🦋 Templating
Say you set up a config at "./commands/pod-shell.yml"
description: |
Entering the shell of the 1st pod that matches the keyword
command: |
kubectl exec -it $(kubectl get pods | grep { kw } | head -n 1 | awk '{print $1}') -- /bin/bash
inputs:
kw:
description: keyword to match
type: str
you can run the command with:
g ./commands/pod-shell.yml --kw "app1"
Or you can store the configuration by
g install ./commands/pod-shell.yml
Then you can run the command with:
g pod-shell --kw "app1"
Setup Configs and Secrets
Setup(CRUD) secrets
# to make secret token accessible to g command line
g secrets add SOME_TOKEN
g secrets list
g secrets remove SOME_TOKEN
Setup(CRUD) configs
g config add SOME_CONFIG "us-east-1"
g config list
g config remove SOME_CONFIG
🦙 LLM in CLI 💻
Why memorize commands when you can just ask?
Then you can try:
g llm "redub a.mp4 file with b.mp3, save to c.mp4 with fps 12"
Or you can ask other things in general:
g llm "explain btree to me"
Or with certain flavor to the robot role
g llm "explain btree to me" "you are a poet return everything in homer style"
✨ combine with other commands
Here's some good use cases to combine with other commands
g llm "shell into one of the pods: $(kubectl get pods) with keyword app1"
g llm "please summarize the commit message for $(git diff)"
g llm "can you explain the structure of this folder: $(ls -l)"
Choose other model
Use the following to choose other model
g configs add GLOW_LLM
Project details
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