mermaid_cli/cli/
args.rs

1use clap::{Parser, Subcommand, ValueEnum};
2use std::path::PathBuf;
3
4#[derive(Parser, Debug)]
5#[command(name = "mermaid")]
6#[command(version = "0.1.0")]
7#[command(about = "An open-source, model-agnostic AI pair programmer", long_about = None)]
8pub struct Cli {
9    /// Model to use (e.g., ollama/codellama, openai/gpt-4, anthropic/claude-3)
10    #[arg(short, long)]
11    pub model: Option<String>,
12
13    /// Path to configuration file
14    #[arg(short, long)]
15    pub config: Option<PathBuf>,
16
17    /// Number of GPU layers for Ollama (overrides config)
18    /// Lower values offload more layers to CPU/RAM, enabling larger models
19    #[arg(long)]
20    pub num_gpu: Option<i32>,
21
22    /// Number of CPU threads for Ollama (overrides config)
23    /// Higher values improve CPU inference speed for offloaded layers
24    #[arg(long)]
25    pub num_thread: Option<i32>,
26
27    /// Context window size for Ollama (overrides config)
28    #[arg(long)]
29    pub num_ctx: Option<i32>,
30
31    /// Enable NUMA optimization for Ollama (overrides config)
32    #[arg(long)]
33    pub numa: Option<bool>,
34
35    /// Verbose output
36    #[arg(short, long)]
37    pub verbose: bool,
38
39    /// Project directory (defaults to current directory)
40    #[arg(short, long)]
41    pub path: Option<PathBuf>,
42
43    /// Skip automatic model installation
44    #[arg(long)]
45    pub no_auto_install: bool,
46
47    /// Don't auto-start LiteLLM proxy
48    #[arg(long)]
49    pub no_auto_proxy: bool,
50
51    /// Stop LiteLLM proxy on exit
52    #[arg(long)]
53    pub stop_proxy_on_exit: bool,
54
55    /// Reuse a previous conversation in this directory (shows selection UI)
56    #[arg(long, conflicts_with = "continue")]
57    pub resume: bool,
58
59    /// Continue the last conversation in this directory
60    #[arg(long, name = "continue", conflicts_with = "resume")]
61    pub continue_conversation: bool,
62
63    /// Non-interactive prompt to execute
64    #[arg(short = 'P', long, conflicts_with_all = &["resume", "continue"])]
65    pub prompt: Option<String>,
66
67    /// Output format for non-interactive mode
68    #[arg(long, value_enum, default_value_t = OutputFormat::Text, requires = "prompt")]
69    pub output_format: OutputFormat,
70
71    /// Maximum tokens to generate in response (non-interactive mode)
72    #[arg(long, requires = "prompt")]
73    pub max_tokens: Option<usize>,
74
75    /// Don't execute agent actions automatically (non-interactive mode)
76    #[arg(long, requires = "prompt")]
77    pub no_execute: bool,
78
79    /// Explicitly select backend (ollama or vllm)
80    /// If not specified, auto-detects based on model availability
81    #[arg(long)]
82    pub backend: Option<String>,
83
84    /// List all available models across all backends
85    #[arg(long)]
86    pub list_all_models: bool,
87
88    /// Show available backends
89    #[arg(long)]
90    pub backends: bool,
91
92    #[command(subcommand)]
93    pub command: Option<Commands>,
94}
95
96#[derive(Subcommand, Debug)]
97pub enum Commands {
98    /// Initialize configuration
99    Init,
100    /// List available models
101    List,
102    /// Start a chat session (default)
103    Chat,
104    /// Show version information
105    Version,
106    /// Check status of dependencies
107    Status,
108}
109
110#[derive(Debug, Clone, ValueEnum)]
111pub enum OutputFormat {
112    /// Plain text output
113    Text,
114    /// JSON structured output
115    Json,
116    /// Markdown formatted output
117    Markdown,
118}
mermaid_cli/cli/args.rs

mermaid_cli/cli/
args.rs
