Mods!

AI for the command line, built for pipelines.

LLM based AI is really good at interpreting the output of commands and returning the results in CLI friendly text formats like Markdown. Mods is a simple tool that makes it super easy to use AI on the command line and in your pipelines. Mods works with OpenAI and LocalAI

To get started, install Mods and check out some of the examples below. Since Mods has built-in Markdown formatting, you may also want to grab Glow to give the output some pizzazz.

What Can It Do?

Mods works by reading standard in and prefacing it with a prompt supplied in the mods arguments. It sends the input text to an LLM and prints out the result, optionally asking the LLM to format the response as Markdown. This gives you a way to "question" the output of a command. Mods will also work on standard in or an argument supplied prompt individually.

Be sure to check out the examples and a list of all the features.

Installation

Mods works with OpenAI compatible endpoints. By default, Mods is configured to support OpenAI's official API and a LocalAI installation running on port 8080. You can configure additional endpoints in your settings file by running mods --settings.

OpenAI

Mods uses GPT-4 by default and will fallback to GPT-3.5 Turbo if it's not available. Set the OPENAI_API_KEY environment variable to a valid OpenAI key, which you can get from here.

Mods can also use the Azure OpenAI service. Set the AZURE_OPENAI_KEY environment variable and configure your Azure endpoint with mods --settings.

LocalAI

LocalAI allows you to run a multitude of models locally. Mods works with the GPT4ALL-J model as setup in this tutorial. You can define more LocalAI models and endpoints with mods --settings.

Install Mods

# macOS or Linux
brew install charmbracelet/tap/mods

# Arch Linux (btw)
yay -S mods

# Debian/Ubuntu
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://repo.charm.sh/apt/gpg.key | sudo gpg --dearmor -o /etc/apt/keyrings/charm.gpg
echo "deb [signed-by=/etc/apt/keyrings/charm.gpg] https://repo.charm.sh/apt/ * *" | sudo tee /etc/apt/sources.list.d/charm.list
sudo apt update && sudo apt install mods

# Fedora/RHEL
echo '[charm]
name=Charm
baseurl=https://repo.charm.sh/yum/
enabled=1
gpgcheck=1
gpgkey=https://repo.charm.sh/yum/gpg.key' | sudo tee /etc/yum.repos.d/charm.repo
sudo yum install mods

Or, download it:

Packages are available in Debian and RPM formats
Binaries are available for Linux, macOS, and Windows

Or, just install it with go:

go install github.com/charmbracelet/mods@latest

Saving conversations

Conversations save automatically. They are identified by their latest prompt. Similar to Git, conversations have a SHA-1 identifier and a title. Conversations can be updated, maintaining their SHA-1 identifier but changing their title.

Check the features document for more details.

Settings

--settings

Mods lets you tune your query with a variety of settings. You can configure Mods with mods --settings or pass the settings as environment variables and flags.

Model

-m, --model, MODS_MODEL

Mods uses gpt-4 with OpenAI by default but you can specify any model as long as your account has access to it or you have installed locally with LocalAI.

You can add new models to the settings with mods --settings. You can also specify a model and an API endpoint with -m and -a to use models not in the settings file.

Title

-t, --title

Set a custom save title for the conversation.

Continue last

-C, --continue-last

Continues the previous conversation.

Continue

-c, --continue

Continue from the last response or a given title or SHA1.

List

-l, --list

Lists all saved conversations.

Show

-s, --show

Show the saved conversation the given title or SHA1.

Delete

--delete

Deletes the saved conversation with the given title or SHA1.

Format As Markdown

-f, --format, MODS_FORMAT

Ask the LLM to format the response as markdown. You can edit the text passed to the LLM with mods --settings then changing the format-text value.

Max Tokens

--max-tokens, MODS_MAX_TOKENS

Max tokens tells the LLM to respond in less than this number of tokens. LLMs are better at longer responses so values larger than 256 tend to work best.

Temperature

--temp, MODS_TEMP

Sampling temperature is a number between 0.0 and 2.0 and determines how confident the model is in its choices. Higher values make the output more random and lower values make it more deterministic.

TopP

--topp, MODS_TOPP

Top P is an alternative to sampling temperature. It's a number between 0.0 and 2.0 with smaller numbers narrowing the domain from which the model will create its response.

No Limit

--no-limit, MODS_NO_LIMIT

By default Mods attempts to size the input to the maximum size the allowed by the model. You can potentially squeeze a few more tokens into the input by setting this but also risk getting a max token exceeded error from the OpenAI API.

Include Prompt

-P, --prompt, MODS_INCLUDE_PROMPT

Include prompt will preface the response with the entire prompt, both standard in and the prompt supplied by the arguments.

Include Prompt Args

-p, --prompt-args, MODS_INCLUDE_PROMPT_ARGS

Include prompt args will include only the prompt supplied by the arguments. This can be useful if your standard in content is long and you just a want a summary before the response.

Max Retries

--max-retries, MODS_MAX_RETRIES

The maximum number of retries to failed API calls. The retries happen with an exponential backoff.

Fanciness

--fanciness, MODS_FANCINESS

Your desired level of fanciness.

Quiet

-q, --quiet, MODS_QUIET

Output nothing to standard err.

Reset Settings

--reset-settings

Backup your old settings file and reset everything to the defaults.

No Cache

--no-cache, MODS_NO_CACHE

Disables conversation saving.

HTTP Proxy

-x, --http-proxy, MODS_HTTP_PROXY

Use the HTTP proxy to the connect the API endpoints.

Whatcha Think?

We’d love to hear your thoughts on this project. Feel free to drop us a note.

License

MIT

Part of Charm.

Charm热爱开源 • Charm loves open source

goostleek / mods