| Name | lfg-llama JSON |
| Version |
2.0.2
JSON |
| download |
| home_page | None |
| Summary | LFG, It Really Whips the Llama's Ass 🦙🦙🦙🦙 |
| upload_time | 2024-05-13 18:51:32 |
| maintainer | None |
| docs_url | None |
| author | Bjarne Oeverli |
| requires_python | None |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# LFG
> LFG, It Really Whips the Llama's Ass 🦙🦙🦙🦙
LFG is a command-line tool that intelligently helps you find the right terminal commands for your tasks. Such sales pitch. This interface is using GPT-4o as an engine.
## Why?
- Firstly, this was created to test Ollama -> Groq
- I do not like the Github Copilot command-line
- Quicker than using Gemini/ChatGPT/Google directly via the browser interface
- Easier to find what needed without opening man pages
- NEW: Changing to GPT-4o model which is free
However, never trust the output entirely.
## Installation
```bash
# install pipx
brew install pipx
# add pipx binaries to path
pipx ensurepath
# restart your terminal
# install LFG
pipx install lfg-llama
```
## Usage
This executable is using OpenAI, that means you need and [API token](https://platform.openai.com/api-keys).
[GPT-4o](https://platform.openai.com/docs/models/gpt-4o) is free to use.
Add the token to your .bashrc/.zshrc and reload your terminal.
```
OPENAI_API_KEY={replace_me}
```
```
$ lfg query
```
Now you can use the executable
```bash
lfg "kill port 3000"
# Kill process listening on port 3000
lsof -i :3000 | xargs kill
```
Change the LLM
```bash
$ lfg "list ec2 pipe json jq get name" -m llama370b
# List EC2 instances with name
aws ec2 describe-instances --query 'Reservations[].Instances[]|{Name:Tags[?Key==`Name`]|[0].Value,I
nstanceId}' --output text | jq '.[] | {"Name", .Name, "InstanceId", .InstanceId}'
This command uses the AWS CLI to describe EC2 instances, and then pipes the output to `jq` to format the output in a JSON-like format, showing the instance name and ID.
```
### Development
```bash
pip install --user pipenv
pipenv --python 3.11
pipenv install
pipenv run lfg "kill port 3000"
```
### TODO
- Fix the setup and pyproject file, including github workflow for releasing the package
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