Use GPT-4(V), LocalAI and other LLMs in the terminal.
AIChat in chat REPL mode:
AIChat in command mode:
For Rust programmer
cargo install aichatFor macOS Homebrew or a Linuxbrew user
brew install aichatFor Windows Scoop user
scoop install aichatFor Arch Linux use
sudo pacman -S aichatFor Android termux user
pkg install aichatDownload it from GitHub Releases, unzip and add aichat to your $PATH.
- OpenAI: gpt-3.5/gpt-4/gpt-4-vision
- LocalAI: user deployed opensource LLMs
- Azure-OpenAI: user created gpt3.5/gpt4
- PaLM: chat-bison-001
- Ernie: ernie-bot-turbo/ernie-bot/ernie-bot-8k/ernie-bot-4
- Qianwen: qwen-turbo/qwen-plus/qwen-max
- With two modes: chat REPL and command.
- Use Roles
- Context-aware conversation/session
- Support vision
- Syntax highlighting markdown and 200 other languages
- Stream output with hand-typing effect
- Support proxy
- Dark/light theme
- Save messages/sessions
On first launch, aichat will guide you through the configuration.
> No config file, create a new one? Yes
> AI Platform: openai
> API Key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Feel free to adjust the configuration according to your needs.
model: openai:gpt-3.5-turbo # LLM model
temperature: 1.0 # GPT temperature, between 0 and 2
save: true # Whether to save the message
highlight: true # Set false to turn highlight
light_theme: false # Whether to use a light theme
wrap: no # Specify the text-wrapping mode (no, auto, <max-width>)
wrap_code: false # Whether wrap code block
auto_copy: false # Automatically copy the last output to the clipboard
keybindings: emacs # REPL keybindings. values: emacs, vi
prelude: '' # Set a default role or session (role:<name>, session:<name>)
clients:
- type: openai
api_key: sk-xxx
organization_id:
- type: localai
api_base: http://localhost:8080/v1
models:
- name: gpt4all-j
max_tokens: 8192Take a look at the config.example.yaml for the complete configuration details.
There are some configurations that can be set through environment variables. For more information, please refer to the Environment Variables page.
We can define a batch of roles in roles.yaml.
We can get the location of
roles.yamlthrough the repl's.infocommand or cli's--infooption.
For example, we can define a role:
- name: shell
prompt: >
I want you to act as a Linux shell expert.
I want you to answer only with bash code.
Do not provide explanations.Let ChatGPT answer questions in the role of a Linux shell expert.
〉.role shell
shell〉 extract encrypted zipfile app.zip to /tmp/app
mkdir /tmp/app
unzip -P PASSWORD app.zip -d /tmp/app
AIChat with roles will be a universal tool.
$ aichat --role shell extract encrypted zipfile app.zip to /tmp/app
unzip -P password app.zip -d /tmp/app
$ cat README.md | aichat --role spellcheck
For more details about roles, please visit Role Guide.
aichat has a powerful Chat REPL.
The Chat REPL supports:
- Emacs/Vi keybinding
- Command autocompletion
- Edit/paste multiline input
- Undo support
〉.help
.help Print this help message
.info Print system info
.model Switch LLM model
.role Use a role
.info role Show role info
.exit role Leave current role
.session Start a context-aware chat session
.info session Show session info
.exit session End the current session
.file Attach files to the message and then submit it
.set Modify the configuration parameters
.copy Copy the last reply to the clipboard
.exit Exit the REPL
Type ::: to begin multi-line editing, type ::: to end it.
Press Ctrl+C to abort readline, Ctrl+D to exit the REPL
〉.info
model openai:gpt-3.5-turbo
temperature -
dry_run false
save true
highlight true
light_theme false
wrap no
wrap_code false
auto_copy false
keybindings emacs
prelude -
config_file /home/alice/.config/aichat/config.yaml
roles_file /home/alice/.config/aichat/roles.yaml
messages_file /home/alice/.config/aichat/messages.md
sessions_dir /home/alice/.config/aichat/sessions
> .model openai:gpt-4
> .model localai:gpt4all-j
You can easily enter enter model name using autocomplete.
Select a role:
〉.role emoji
Send message with the role:
emoji〉hello
👋
Leave current role:
emoji〉.exit role
〉hello
Hello there! How can I assist you today?
Show role info:
emoji〉.info role
name: emoji
prompt: I want you to translate the sentences I write into emojis. I will write the sentence, and you will express it with emojis. I just want you to express it with emojis. I don't want you to reply with anything but emoji. When I need to tell you something in English, I will do it by wrapping it in curly brackets like {like this}.
temperature: null
Temporarily use a role to send a message.
〉::: .role emoji
hello world
:::
👋🌍
〉
By default, aichat behaves in a one-off request/response manner.
You should run aichat with -s/--session or use the .session command to start a session.
〉.session
temp）1 to 5, odd only 0
1, 3, 5
temp）to 7 19(0.46%)
1, 3, 5, 7
temp）.exit session 42(1.03%)
? Save session? (y/N)
The prompt on the right side is about the current usage of tokens and the proportion of tokens used, compared to the maximum number of tokens allowed by the model.
Usage: .file <file>... [-- text...]
.file message.txt
.file config.yaml -- convert to toml
.file a.jpg b.jpg -- What’s in these images?
.file https://ibb.co/a.png https://ibb.co/b.png -- what is the difference?
Only the current model that supports vision can process images submitted through
.filecommand.
〉.set temperature 1.2
〉.set dry_run true
〉.set highlight false
〉.set save false
〉.set auto_copy true
Usage: aichat [OPTIONS] [TEXT]...
Arguments:
[TEXT]... Input text
Options:
-m, --model <MODEL> Choose a LLM model
-r, --role <ROLE> Choose a role
-s, --session [<SESSION>] Create or reuse a session
-f, --file <FILE>... Attach files to the message to be sent
-H, --no-highlight Disable syntax highlighting
-S, --no-stream No stream output
-w, --wrap <WRAP> Specify the text-wrapping mode (no*, auto, <max-width>)
--light-theme Use light theme
--dry-run Run in dry run mode
--info Print related information
--list-models List all available models
--list-roles List all available roles
--list-sessions List all available sessions
-h, --help Print help
-V, --version Print version
Here are some practical examples:
aichat -s # Start REPL with a new temp session
aichat -s temp # Reuse temp session
aichat -r shell -s # Create a session with a role
aichat -m openai:gpt-4-32k -s # Create a session with a model
aichat -s sh unzip a file # Run session in command mode
aichat -r shell unzip a file # Use role in command mode
aichat -s shell unzip a file # Use session in command mode
cat config.json | aichat convert to yaml # Read stdin
cat config.json | aichat -r convert:yaml # Read stdin with a role
cat config.json | aichat -s i18n # Read stdin with a session
aichat --file a.png b.png -- diff images # Attach files
aichat --file screenshot.png -r ocr # Attach files with a role
aichat --list-models # List all available models
aichat --list-roles # List all available roles
aichat --list-sessions # List all available models
aichat --info # system-wide information
aichat -s temp --info # Show session details
aichat -r shell --info # Show role info
$(echo "$data" | aichat -S -H to json) # Use aichat in a scriptCopyright (c) 2023 aichat-developers.
aichat is made available under the terms of either the MIT License or the Apache License 2.0, at your option.
See the LICENSE-APACHE and LICENSE-MIT files for license details.