shell-pilot

A simple, lightweight shell script to interact with OpenAI or Ollama or Mistral AI or LocalAI or ZhipuAI from the terminal, and enhancing intelligent system management without any dependencies(pure shell).

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Shell-pilot is a simple, lightweight shell script designed to interact with various AI models such as OpenAI, Ollama, Mistral AI, LocalAI, ZhipuAI, Anthropic, Moonshot, and Novita AI from the terminal. It enhances intelligent system management without any dependencies, offering features like setting up a local LLM repository, using official models and APIs, viewing history and session persistence, passing input prompts with pipe/redirector, listing available models, setting request parameters, generating and running commands in the terminal, easy configuration setup, system package version checking, and managing system aliases.

README:

A simple, lightweight shell script to interact with OpenAI or Ollama or Mistral AI or LocalAI or ZhipuAI or Athropic or Moonshot or Novita AI from the terminal, and enhancing intelligent system management without any dependencies(pure shell).

Features

Based on Ollama to setup a local LLM repository(support llama3, gemma2), work with Ollama API
Use the official chatgpt model with the official ChatGPT API from the terminal
Use the official Mistral AI model with the Mistral AI API
Use the LocalAI model with the LocalAI API
Use the ZhipuAI model with the ZhipuAI API
Use the Anthropic model with the Anthropic API
Use the Moonshot model with the Moonshot API
Use the Novita AI model with the Novita AI API
View your history and session persistence
Chat context, GPT remembers previous chat questions and answers
Pass the input prompt with pipe/redirector(|, <), as a script parameter or normal chat mode(bash version: 4.0+)
List all available models
Set OpenAI request parameters
Generate a command and run it in terminal, and can use code chat mode easy to interact
Easy to set the config in command parameter or edit config with vi mode(option e)
Enhanced system interaction and efficiency with features aimed at basic system management
Modular plugin design allows for easy expansion with each plugin introducing a new functionality, making the tool more powerful and adaptable to user needs.
- Easy to check system package verison
- Easy to add/list/remove alias from command line

Code chat mode scenario

Vim/vi scenario

Disclaimer

This is still a test project for using online models and local LLM in shell environment. It is not production ready, so do not use in critical/production system, and do not use to analyze customer data.

Getting Started

Prerequisites

This script relies on curl for the requests to the api and jq to parse the json response.

curl

MacOS:
brew install curl

Linux: should be installed by default
dnf/yum/apt install curl

MacOS:
brew install jq

Linux: should be installed by default
dnf/yum/apt install jq

An OpenAI API key. Create an account and get a free API Key at OpenAI
Optionally, you can install glow to render responses in markdown

Installation

For setup Ollama environment, Manual install instructions, ollama usage, and Ollama model library

curl -fsSL https://ollama.com/install.sh | sh

ollama pull llama2  # used llama2 by default

For setup LocalAI environment, Manual, and LocalAI github

docker run -p 8080:8080 --name local-ai -ti localai/localai:latest-aio-cpu
# Do you have a Nvidia GPUs? Use this instead
# CUDA 11
# docker run -p 8080:8080 --gpus all --name local-ai -ti localai/localai:latest-aio-gpu-nvidia-cuda-11
# CUDA 12
# docker run -p 8080:8080 --gpus all --name local-ai -ti localai/localai:latest-aio-gpu-nvidia-cuda-12

To install, run this in your terminal and provide your OpenAI API key when asked.

curl -sS -o spilot_install.sh https://raw.githubusercontent.com/reid41/shell-pilot/main/spilot_install.sh
bash spilot_install.sh

Set your local Ollama server ip in configuration file spilot_common.sh if not set during the installation

OLLAMA_SERVER_IP=<ollama server ip address>

You can also set the other parameters in spilot_common.sh before using.

e.g.
TEMPERATURE=0.6
MAX_TOKENS=4096
MODEL_OPENAI=gpt-3.5-turbo
MODEL_OLLAMA=llama2
CONTEXT=false
MULTI_LINE_PROMPT=false
ENABLE_DANGER_FLAG=false

Manual Installation

If you want to install it manually, all you have to do is:

Download the shell-pilot project files in

git clone https://github.com/reid41/shell-pilot.git

cd shell-pilot/

If you want to reset the script path(/usr/local/bin/ by default) or output store path(~/spilot_files_dir by default), try below:

# define the config dir if need to reset
new_config_path="/new/path/to/config/"
# define the tmp or output files dir
new_files_dir="/new/path/to/files/"

# create it if new
[[ ! -d ${new_config_path} ]] && mkdir ${new_config_path} -p
[[ ! -d "${new_config_path}/plugins" ]] && mkdir ${new_config_path}/plugins -p
[[ ! -d ${new_files_dir} ]] && mkdir ${new_files_dir} -p

# reset it
sed -i "s|SHELL_PILOT_CONFIG_PATH=\"/usr/local/bin/\"|SHELL_PILOT_CONFIG_PATH=\"$new_config_path\"|" s-pilot
sed -i "s|SPILOT_FILES_DEFAULT_DIR=~/spilot_files_dir|SPILOT_FILES_DEFAULT_DIR=$new_files_dir|" spilot_common.sh

# add ollama server host
ollama_server_ip_address=<ip>
echo "OLLAMA_SERVER_IP=${ollama_server_ip_address}" >> spilot_common.sh

# add localai server host
localai_server_ip_address=<ip>
echo "LOCALAI_SERVER_IP=${localai_server_ip_address}" >> spilot_common.sh

set the permissions

chmod +x s-pilot spilot_common.sh spilot_llm_rq_apis.sh plugins/*.sh

Move the files to the dir

cp s-pilot spilot_common.sh spilot_llm_rq_apis.sh ${new_config_path}

cp plugins/*.sh ${new_config_path}/plugins

Add settings into the profile file

# profile, e.g. .bash_profile
the_profile_file=$HOME/.bash_profile

# add the script/config path
echo "export PATH\=\$PATH\:${new_config_path}" >> $the_profile_file

# add source alias for alias option
echo "alias ss-pilot='source s-pilot'" >> $the_profile_file

# openai/mistral key if need
# openai
openai_api_key_value=<key>
echo "export OPENAI_KEY=${openai_api_key_value}" >> $the_profile_file

# mistral ai
mistralai_api_key_value=<key>
echo "export MISTRAL_API_KEY=${mistralai_api_key_value}" >> $the_profile_file

# zhipuai ai
zhipuai_api_key_value=<key>
echo "export ZHIPUAI_API_KEY=${zhipuai_api_key_value}" >> $the_profile_file

# anthropic ai
anthropic_api_key_value=<key>
echo "export ANTHROPIC_API_KEY=${anthropic_api_key_value}" >> $the_profile_file

# moonshot ai
moonshot_api_key_value=<key>
echo "export MOONSHOT_API_KEY=${moonshot_api_key_value}" >> $the_profile_file

# novita ai
novita_api_key_value=<key>
echo "export NOVITA_API_KEY=${novita_api_key_value}" >> $the_profile_file

source $the_profile_file

Usage

Start

Chat Mode

Run the script by using the s-pilot command anywhere:

$ s-pilot
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>

Pipe Mode

You can also use it in pipe mode:

$ echo "How to view running processes on RHEL8?" | s-pilot

You can view running processes on RHEL8 using the `ps` command. To see a list of running processes,
open a terminal and type `ps aux` or `ps -ef`. This will display a list of all processes currently
running on your system.


$ cat error.log | s-pilot

The log entries indicate the following events on the system:

1. April 7, 23:35:40: Log rotation initiated by systemd, then completed successfully.
2. April 8, 05:20:51: Error encountered during metadata download for repository

Use Redirection Operators

$ s-pilot < ss.sh
The output will be:
Hello World test

$ s-pilot p "summarize" < ss.sh
This is a bash script that defines and invokes a function named "Hello".
The function takes two arguments, $1 and $2, and prints "Hello World" followed by these arguments...

$ s-pilot <<< "what is the best way to learn shell? Provide an example"
The best way to learn shell scripting is through hands-on practice and tutorials. Start by
understanding basic commands, then move on to writing simple scripts to automate tasks...

$ s-pilot << EOF
> how to learn python?
> provide a detail example.
> EOF
To learn Python, follow these steps:
1. **Understand the Basics**: Start with Python syntax, data types, variables, and basic operations.
2. **Control Structures**: Learn about loops (for, while), if statements, and functions...

Script Parameters

Help with h, -h, --help:
Check version:

s-pilot v
[Shell Pilot Version]: 1.5.5

Chat mode with initial prompt:

s-pilot ip "You are Linux Master. You should provide a detail and professional suggeston about Linux every time."
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>
what is shell?


<<ShellPilot>> A shell is a command-line interface that allows users to interact with the
operating system by running commands. It is a program that takes input from the user in the form of
commands and then executes them. The shell acts as an intermediary between the user and the
operating system, interpreting commands and running programs. There are different types of shells
available in Linux, such as bash (Bourne Again Shell), sh (Bourne Shell), csh (C Shell), ksh (Korn
Shell), and more. Each shell has its own set of features and capabilities, but they all serve the
same fundamental purpose of allowing users to interact with the system via the command line.

with p:

s-pilot -p "What is the regex to match an ip address?"

The regex to match an IP address is:
(?:\d{1,3}\.){3}\d{1,3}


$ cat error.log | s-pilot p "find the errors and provide solution"

Errors:
1. Inconsistent date formats: "Apr 7" and "Apr 8".
2. Inconsistency in log times: "23:35:40" and "10:03:28" for the same date.

Solutions:
1. Standardize date format: Use a consistent date format throughout the log entries.
2. Ensure log times are in chronological order within the same date.

change model provider:

s-pilot cmp ollama
Attempting to update USE_API to ollama.
Backup file removed after successful update.
The setting will save in the configuration file.

Here is the checklist to change the model provider:
USE_API=ollama

list models:

s-pilot lm

{
  "name": "llama2:13b",
  "size": "6.86 GB",
  "format": "gguf",
  "parameter_size": "13B",
  "quantization_level": "Q4_0"
}

list config

s-pilot lc
# Configuration settings
USE_API=ollama

# Define prompts using the adjusted settings
CHAT_INIT_PROMPT="You are $MODEL_NAME, a Large Language Model trained by $ORGANIZATION. You will be answering questions from users. Answer as concisely as possible for each response.
...

Update the chat setting in spilot_common.sh

s-pilot t 0.9
Attempting to update TEMPERATURE to 0.9.
Backup file removed after successful update.
The setting will save in the configuration file.

Here is the checklist to change the temperature:
TEMPERATURE=0.9

Commands

history To view your chat history, type history

$ s-pilot
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>
history

2024-04-08 18:51 hi
Hello! How can I assist you today?

models To get a list of the models available at OpenAI API/Ollama, type models

$ s-pilot
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.
<<You>>
models
{
  "name": "llama2:13b",
  "size": "6.86 GB",
  "format": "gguf",
  "parameter_size": "13B",
  "quantization_level": "Q4_0"
}

model: To view all the information on a specific model, start a prompt with model: and the model id, please do not use space between model: and id,e.g.

$ s-pilot
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>
model:llama2

License: LLAMA 2 COMMUNITY LICENSE AGREEMENT
Llama 2 Version Release Date: July 18, 2023
...
Format: gguf
Family: llama
Parameter Size: 7B
Quantization Level: Q4_0

cmd: To get a command with the specified functionality and run it, just type cmd: and explain what you want to achieve. The script will always ask you if you want to execute the command. i.e. If a command modifies your file system or dowloads external files the script will show a warning before executing, but if the execution flag is disabled by default if found danger.

# >>>>>> MacOS
s-pilot
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>
cmd: list the files in /tmp/


<<ShellPilot>>  ls /tmp
Would you like to execute it? (Yes/No)
y

Executing command: ls /tmp

com.xx.launchd.xx	com.x.xx		com.xx.out
com.xx.launchd.xx	com.x.err			powerlog

# >>>>>> Linux
<<You>>
cmd: update my os


<<ShellPilot>>  sudo dnf update
Would you like to execute it? (Yes/No)
n


# >>>>>> The danger cmd example:
<<You>>
cmd: remove the files in /tmp/


<<ShellPilot>>  rm -r /tmp/*
Warning: This command can change your file system or download external scripts & data.
Please do not execute code that you don't understand completely.

Info: Execution of potentially dangerous commands has been disabled.

Session persistence

One-shot Command Mode

# s-pilot cr test  p "please remember my lucky number is 5"

I've noted that your lucky number is 5!

# s-pilot lr
==> Here are the chat record files[<name>-chat_record.spilot]:
-rw-r--r--. 1 root root 149 Apr 28 10:07 test-chat_record.spilot

# s-pilot lr test
==> Here is the chat record file content:
[
  {
    "role": "user",
    "content": "please remember my lucky number is 5\n"
  },
  {
    "role": "assistant",
    "content": "I've noted that your lucky number is 5!\n"
  }
]

# s-pilot cr test  p "use my lucky number plus 20"

Using your lucky number (5) + 20 gives us... 25!


# s-pilot dr test
rm: remove regular file '/root/spilot_files_dir/test-chat_record.spilot'? y
File /root/spilot_files_dir/test-chat_record.spilot has been deleted successfully.

Interactive Session Mode

# s-pilot cr test1
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>
please remember my favorite color is blue


<<ShellPilot>> I've made a note that your favorite color is blue!

<<You>>
q # quit

# s-pilot cr test1
Welcome to Shell Pilot!!
You can quit with 'q' or 'e'.

<<You>>
what is my favorite color?


<<ShellPilot>> Your favorite color is blue!

Chat context

For models other than gpt-3.5-turbo and gpt-4 where the chat context is not supported by the OpenAI api, you can use the chat context build in this script. You can enable chat context mode for the model to remember your previous chat questions and answers. This way you can ask follow-up questions. In chat context the model gets a prompt to act as ChatGPT and is aware of today's date and that it's trained with data up until 2021. To enable this mode start the script with c, -c or --chat-context. i.e. s-pilot c true to enable it.

Set chat initial prompt

You can set your own initial chat prompt to use in chat context mode. The initial prompt will be sent on every request along with your regular prompt so that the OpenAI model will "stay in character". To set your own custom initial chat prompt use ip -ip or --init-prompt followed by your initial prompt i.e. see the Script Parameters usage example.
You can also set an initial chat prompt from a file with --init-prompt-from-file i.e. s-pilot --init-prompt-from-file myprompt.txt

*When you set an initial prompt you don't need to enable the chat context.

Use the official model

The default model used when starting the script is gpt-3.5-turbo for OpenAI.
The default model used when starting the script is llama2 for Ollama.
The default model used when starting the script is mistral-small for MistralAI.

Use other models for OpenAI or Ollama

If you have access to the GPT4 model you can use it by setting the model to gpt-4, i.e. s-pilot --model gpt-4.
For Ollama, you can pull first from the ollama server, i.e. ollama pull mistral, s-pilot e to set.
For MistralAI, you can check with s-pilot lm, and set with s-pilot e.

Set request parameters

To set request parameters you can start the script like this: s-pilot t 0.9.
The setting will save in spilot_common.sh, no need to change or mention every time.

The available parameters are:
- temperature, t or -t or --temperature
- model, m or -m or --model
- max number of tokens,mt, -mt, --max-tokens
- prompt, p, -p or --prompt
- prompt from a file in your file system, pf or -pf or --prompt-from-file
For OpenAI: OpenAI API documentation For Ollama: Ollama API documentation

Plugins

pv: check the system package version(so far support MacOS/RHEL/CentOS/Fedora)

$ s-pilot pv
Check the system package version
Usage: /usr/local/bin/s-pilot pv [-f] <pkg1> [pkg2] ...

$ s-pilot pv bc go xx
Check the system package version
✔ bc version 6.5.0
✔ go version 1.19.6
✗ Package xx not found on macOS.

$ s-pilot pv -f usb
Check the system package version
✔ libusb version 1.0.27
✔ usb.ids version 2024.03.18
✔ usbredir version 0.14.0

sa: manage the system alias

# use `ss-pilot` to execute(not `s-pilot`), it will set it after installation

# ss-pilot sa a lx "ls -l /tmp/" lxx "ls -ld /etc" cdetc "cd /etc"
==> Alias 'lx' added to /root/spilot_files_dir/shell_pilot_system_aliases and is active.
==> Alias 'lxx' added to /root/spilot_files_dir/shell_pilot_system_aliases and is active.
==> Alias 'cdetc' added to /root/spilot_files_dir/shell_pilot_system_aliases and is active.

# ss-pilot sa l
==> Aliase List:
alias lx='ls -l /tmp/'
alias lxx='ls -ld /etc'
alias cdetc='cd /etc'

# lx
total 0
# cdetc
# pwd
/etc

# ss-pilot sa r lx lxx cdetc
==> Alias 'lx' removed from /root/spilot_files_dir/shell_pilot_system_aliases
==> Alias 'lxx' removed from /root/spilot_files_dir/shell_pilot_system_aliases
==> Alias 'cdetc' removed from /root/spilot_files_dir/shell_pilot_system_aliases

# lx
-bash: lx: command not found

Acknowledgements

The following projects are worth remarking. They were studied during development of this script and used as referencial code sources.

For Tasks:

Click tags to check more tools for each tasks

manage system packages set up local llm repository interact with ai models view chat history manage system aliases

For Jobs:

system administrator ai engineer data scientist devops engineer software developer

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The `@upstash/rag-chat` package simplifies the development of retrieval-augmented generation (RAG) chat applications by providing Next.js compatibility with streaming support, built-in vector store, optional Redis compatibility for fast chat history management, rate limiting, and disableRag option. Users can easily set up the environment variables and initialize RAGChat to interact with AI models, manage knowledge base, chat history, and enable debugging features. Advanced configuration options allow customization of RAGChat instance with built-in rate limiting, observability via Helicone, and integration with Next.js route handlers and Vercel AI SDK. The package supports OpenAI models, Upstash-hosted models, and custom providers like TogetherAi and Replicate.

github

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ryoma

Ryoma is an AI Powered Data Agent framework that offers a comprehensive solution for data analysis, engineering, and visualization. It leverages cutting-edge technologies like Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast to provide seamless integration of language models, build interactive web applications, handle in-memory data efficiently, work with AI models, and manage machine learning features in production. Ryoma also supports various data sources like Snowflake, Sqlite, BigQuery, Postgres, MySQL, and different engines like Apache Spark and Apache Flink. The tool enables users to connect to databases, run SQL queries, and interact with data and AI models through a user-friendly UI called Ryoma Lab.

github

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shell-pilot

github

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awesome-llm-web-ui

Curating the best Large Language Model (LLM) Web User Interfaces that facilitate interaction with powerful AI models. Explore and catalogue intuitive, feature-rich, and innovative web interfaces for interacting with LLMs, ranging from simple chatbots to comprehensive platforms equipped with functionalities like PDF generation and web search.

github

: 336

PyWxDump

PyWxDump is a Python tool designed for obtaining WeChat account information, decrypting databases, viewing WeChat chats, and exporting chats as HTML backups. It provides core features such as extracting base address offsets of various WeChat data, decrypting databases, and combining multiple database types for unified viewing. Additionally, it offers extended functions like viewing chat history through the web, exporting chat logs in different formats, and remote viewing of WeChat chat history. The tool also includes document classes for database field descriptions, base address offset methods, and decryption methods for MAC databases. PyWxDump is suitable for network security, daily backup archiving, remote chat history viewing, and more.

github

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gpt_mobile

GPT Mobile is a chat assistant for Android that allows users to chat with multiple models at once. It supports various platforms such as OpenAI GPT, Anthropic Claude, and Google Gemini. Users can customize temperature, top p (Nucleus sampling), and system prompt. The app features local chat history, Material You style UI, dark mode support, and per app language setting for Android 13+. It is built using 100% Kotlin, Jetpack Compose, and follows a modern app architecture for Android developers.

github

: 576

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