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use clap::Parser;
#[derive(Parser, Debug)]
#[command(author, version, about, long_about = None)]
pub struct Cli {
/// Select a LLM model
#[clap(short, long)]
pub model: Option<String>,
/// Use the system prompt
#[clap(long)]
pub prompt: Option<String>,
/// Select a role
#[clap(short, long)]
pub role: Option<String>,
/// Start or join a session
#[clap(short = 's', long)]
pub session: Option<Option<String>>,
/// Forces the session to be saved
#[clap(long)]
pub save_session: bool,
/// Start a agent
#[clap(short = 'a', long)]
pub agent: Option<String>,
/// Start a RAG
#[clap(short = 'R', long)]
pub rag: Option<String>,
/// Serve the LLM API and WebAPP
#[clap(long, value_name = "ADDRESS")]
pub serve: Option<Option<String>>,
/// Execute commands in natural language
#[clap(short = 'e', long)]
pub execute: bool,
/// Output code only
#[clap(short = 'c', long)]
pub code: bool,
/// Include files with the message
#[clap(short = 'f', long, value_name = "FILE")]
pub file: Vec<String>,
/// Turn off stream mode
#[clap(short = 'S', long)]
pub no_stream: bool,
/// Control text wrapping (no, auto, <max-width>)
#[clap(short = 'w', long)]
pub wrap: Option<String>,
/// Turn off syntax highlighting
#[clap(short = 'H', long)]
pub no_highlight: bool,
/// Use light theme
#[clap(long)]
pub light_theme: bool,
/// Display the message without sending it
#[clap(long)]
pub dry_run: bool,
/// Display information
#[clap(long)]
pub info: bool,
/// List all available chat models
#[clap(long)]
pub list_models: bool,
/// List all roles
#[clap(long)]
pub list_roles: bool,
/// List all sessions
#[clap(long)]
pub list_sessions: bool,
/// List all agents
#[clap(long)]
pub list_agents: bool,
/// List all RAGs
#[clap(long)]
pub list_rags: bool,
/// Input text
#[clap(trailing_var_arg = true)]
text: Vec<String>,
}
impl Cli {
pub fn text(&self) -> Option<String> {
let text = self
.text
.iter()
.map(|x| x.trim().to_string())
.collect::<Vec<String>>()
.join(" ");
if text.is_empty() {
return None;
}
Some(text)
}
}
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