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Command Line Guide
Usage: aichat [OPTIONS] [TEXT]...
Arguments:
[TEXT]... Input text
Options:
-m, --model <MODEL> Select a LLM model
--prompt <PROMPT> Use the system prompt
-r, --role <ROLE> Select a role
-s, --session [<SESSION>] Start or join a session
--empty-session Ensure the session is empty
--save-session Ensure the new conversation is saved to the session
-a, --agent <AGENT> Start a agent
--agent-variable <NAME> <VALUE> Set agent variables
--rag <RAG> Start a RAG
--serve [<ADDRESS>] Serve the LLM API and WebAPP
-e, --execute Execute commands in natural language
-c, --code Output code only
-f, --file <FILE> Include files with the message
-S, --no-stream Turn off stream mode
--dry-run Display the message without sending it
--info Display information
--list-models List all available chat models
--list-roles List all roles
--list-sessions List all sessions
--list-agents List all agents
--list-rags List all RAGs
-h, --help Print help
-V, --version Print version
aichat # Enter REPL
aichat Tell a joke # Generate response
aichat -e install nvim # Execute command
aichat -c fibonacci in js # Generate code
aichat --serve # Run server
aichat -m openai:gpt-4o # Select LLM
aichat -r role1 # Use role 'role1'
aichat -s # Begin a temp session
aichat -s session1 # Use session 'session1'
aichat -a agent1 # Use agent 'agent1'
aichat --rag rag1 # Use RAG 'rag1'
aichat --info # View system info
aichat -r role1 --info # View role info
aichat -s session1 --info # View session info
aichat -a agent1 --info # View agent info
aichat --rag rag1 --info # View RAG info
cat data.toml | aichat -c to json > data.json # Pipe Input/Output
output=$(aichat -S $input) # Run in the script
aichat -f a.png -f b.png diff images # Use files
Simply input what you want to do in natural language, and aichat will prompt and run the command that achieves your intent.
AIChat is aware of OS and shell you are using, it will provide shell command for specific system you have.
Simply type alt+e
to let aichat
provide intelligent completions directly in your terminal.
AIChat offers shell integration scripts for for bash, zsh, PowerShell, fish, and nushell. You can find them on GitHub at https://github.com/sigoden/aichat/tree/main/scripts/shell-integration.
The shell autocompletion suggests commands, options, and filenames as you type, enabling you to type less, work faster, and avoid typos.
AIChat offers shell completion scripts for bash, zsh, PowerShell, fish, and nushell. You can find them on GitHub at https://github.com/sigoden/aichat/tree/main/scripts/completions.
By using the --code
or -c
parameter, you can specifically request pure code output.
The -c/--code
with pipe ensures the extraction of code from Markdown.
The -f/--file
can be used to send files to LLMs.
# Use local file
aichat -f data.txt
# Use image file
aichat -f image.png ocr
# Use multi files
aichat -f file1 -f file2 explain
# Use local dirs
aichat -f dir/ summarize
# Use remote URLs
aichat -f https://example.com/page summarize
AIChat comes with a built-in lightweight http server.
$ aichat --serve
Chat Completions API: http://127.0.0.1:8000/v1/chat/completions
Embeddings API: http://127.0.0.1:8000/v1/embeddings
LLM Playground: http://127.0.0.1:8000/playground
LLM Arena: http://127.0.0.1:8000/arena?num=2
Change the listening address:
$ aichat --serve 0.0.0.0
$ aichat --serve 8080
$ aichat --serve 0.0.0.0:8080